Qualification: 
Ph.D, MBA, B-Tech
maneesha@am.amrita.edu
maneesha@amrita.edu

Dr. Maneesha V. Ramesh is the Director & Professor at Amrita Center for Wireless Networks and Applications (AWNA) and Dean for Amrita Center for International Programs, Amrita Vishwa Vidyapeetham

Dr. Maneesha V. Ramesh pursued her Ph. D. in Computer Science from Amrita Vishwa Vidyapeetham and authored a research thesis titled Wireless Sensor Network to Detect Rainfall Induced Landslides. Her research work was instrumental in deploying the first ever Wireless Sensor Network system capable of issuing landslide warning. She has received U.S. Patent US 13/168,3572014. for this work, "Network based system for predicting landslides and providing early warnings". She has an M. B. A. in Systems Management and Financial Management from Amrita Vishwa Vidyapeetham. She completed her B. Tech. in Production Engineering from Kerala University.

Dr. Maneesha V. Ramesh is the Dean of International Programs. She heads all the activities of Amrita Center for International Programs (ACIP). The Center has been incharge of developing collaborative initiatives between Amrita Vishwa Vidyapeetham and other International Universities. The main work includes developing MoU with international universities for faculty and student exchange programs, dual degree programs, research collaborations etc. As of now Amrita has signed 153 MoU's since 2005.

Dr. Maneesha had given distinguished lectures in different reputed Universities during visits at International Universities. Since 2007 she had published more than 94 publications, including three best paper awards. Dr. Maneesha was awarded the prestigious Young Faculty Research Fellowship under Visvesvaraya PhD scheme for Electronics and IT for the year 2015-16 from The Department of Electronics & Information Technology, Government of India. She has received the national award, NABARD award for her work on landslide monitoring and early warning system. She is the Editor of Ad Hoc Networks Journal published by Elsevier. 

Qualification

Doctorate (June 2009)

Ph. D. in Computer Science from Amrita Vishwa Vidyapeetham
Thesis topic : Wireless Sensor Network to detect rainfall induced landslides
(The research work was instrumental in deploying world’s first ever Wireless Sensor Network system capable of issuing landslide warning. One such landslide warning was issued on July 22, 2009 during the torrential rainfall season.)

Post Graduation ( April 2003)

Master of Business Administration from Amrita Vishwa Vidyapeetham
Specialization : Systems Management and Financial Management

Under Graduation (May 2000)

Bachelor of Technology from Kerala University
Specialization : Production engineering

Patents

Present Positions

  • Director, AMRITA Centre for Wireless Networks & Applications
  • Dean, Amrita Center for International Programs Amrita Vishwa Vidyapeetham
  • Professor, Department of Computer Science & Engineering
  • Secretary, ACM-W India Council
  • Editor, Ad Hoc Networks Journal, Elsevier
  • Editor, CSI Transactions on ICT, Springer
  • Program Chair, International Conference for Wireless Technologies for Humanitarian Relief (ACWR 2011)
  • Reviewer, International Journal of Digital Earth
  • Editorial Board member &Advisory Committee member, International Conference on Computing ICC 2010, New Delhi
  • Technical Program Committee: SENSORCOMM 2010, ICCAIE 2010, ICOS 2010, ISCI 2011
  • Senior Member in IEEE
  • Senior Member in ACM
  • Vice Chair- IEEE Kerala Section [Communication Society Chapter] [2013]

Positions Held

  • Program Chair, International Conference for Wireless Technologies for Humanitarian Relief (ACWR 2011)
  • Head of Computer Science Department from August 2004 - December 2006
  • WINSOC Principal Investigator for Amrita Vishwa Vidyapeetham from Sep, 2006
Year of Publication
Title

2018

K. A. Unnikrishna Menon, Jayaram, R., P., D., and Dr. Maneesha V. Ramesh, “Wearable Wireless Tongue Controlled Devices”, 2018.[Abstract]

A wearable device and a system to provide an input for a computing device are disclosed. The device comprises a sensing unit to deliver infrared signals to the facial region of a user and to receive transmitted or reflected signals therefrom, and a processing unit to determine the position or movement of the tongue of the user based on the received infrared signals. The processing unit is configured to provide an input to a computing device based on the determined position or movement of the tongue. The system further comprises a transmitter for wirelessly transmitting the input from the processing unit to the computing device.

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2018

S. N. Rao, Raj, D., Parthasarathy, V., S. Aiswarya, Dr. Maneesha V. Ramesh, and Rangan, V., “A Novel Solution for High Speed Internet Over the Oceans”, in IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2018.[Abstract]

The cellular network range over the oceans is limited to about 15 km from the shore in most places. The service providers do not have any incentive to extend the coverage further. However, marine fishermen who routinely spend 5 to 7 days at the ocean on a single fishing trip are severely impacted by this. They go as far away as 120 km from the shore on some occasions and are completely cut off from the land during their fishing trips. Also, they are generally poor and need an economical solution to stay connected. We have developed and successfully prototyped an affordable solution based on a multi-level auto-reconfigurable backhaul infrastructure network. It uses long range (LR) Wi-Fi and extends the connectivity to 60 km and beyond over the oceans using heterogeneous networks and relay nodes. Multiple field trials involving up to four boats over the Arabian Sea have yielded consistent and repeatable results even under rough sea states. Additional experiments conducted over the backwaters by scaling up the network further have also yielded positive results. This work provides a detailed description of the architected solution and the results obtained. More »»

2018

P. Prof. Nedungadi, Dr. Maneesha V. Ramesh, Pradeep, P., and Raghu Raman, “Pedagogical Support for Collaborative Development of Virtual and Remote Labs: Amrita VLCAP”, in Cyber-Physical Laboratories in Engineering and Science Education, M. E. Auer, Azad, A. K. M., Edwards, A., and de Jong, T. Cham: Springer International Publishing, 2018, pp. 219–240.[Abstract]

There is an explosive growth in e-Learning platforms, jointly developed by multiple institutions, which provide for virtual learning content. However, many are inadequate to support the complex requirements for collaborative development of distributed learning such as accommodation of wide-ranging technologies, servers, and remote equipment controlled by diverse software. Our solution is a multi-tier architecture that supports collaborative development, publishing in various online and print formats, security, audit, and access controls. Our design considerations include a highly scalable platform, use of open technologies, templates that provide pedagogical structure, multilingual functionality, and shared virtual availability of lab equipment from multiple geographic locations, along with secure access to remote equipment.

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2017

D. Raj, Parthasarathy, V., Rao, S. N., and Dr. Maneesha V. Ramesh, “Performance Assessment of an Extremely Challenged Mobile Infrastructure Network over the Oceans”, in Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017.[Abstract]

A novel cost-effective network architecture for providing Internet connectivity to marine fishermen has been successfully prototyped by our research center. A pilot deployment is in progress in a coastal Indian village. This will improve the quality of life of the financially constrained marine fishermen who spend 5-7 days offshore on average for a single fishing trip; it will also help in their safety and security. The architecture employs multiple long range Wi-Fi (LR Wi-Fi) based infrastructure networks stitched together as backhaul. The access network consists of Ethernet and Wi-Fi mesh. The fishermen connect to the on board Wi-Fi access point cum router using their smart phones and are able to use all the apps and services on their smart phone. While the primary infrastructure network uses onshore base stations, the secondary infrastructure networks use boats as mobile base stations. Three field trials were conducted over the ocean using one onshore base station and two mid-sized boats known as trawlers. The performance of both primary and secondary infrastructure networks was assessed during these field trials. This paper describes the impressive results obtained in assessing the performance of the secondary infrastructure network.

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PDF iconPerformance-Assessment-of-an-Extremely-Challenged-Mobile-Infrastructure-Network-over-the-Oceans.pdf

2017

Dr. Thambidurai P. and Dr. Maneesha V. Ramesh, “Slope Stability Investigation of Chandmari in Sikkim, Northeastern India”, 4th World landslide Forum Ljubljana, Slovenia, May 29 – June 2, 2017, 2 vol. Springer International Publishing, pp. 363-369, 2017.[Abstract]

Landslides are very common in high altitude regions of the Himalayas. The Chandmari landslide is a recurrent landslide located in the Eastern part of Gangtok, Sikkim—a Northeastern state in India. Intense rainfall in the monsoon is the main triggering factor for landslides in this region. This paper enumerates the contributing parameter for rainfall induced landslides, viz., bedrock hydrogeology and geotechnical properties of soil and studies their impact on the same. A geophysical resistivity survey was carried out to identify the subsurface structure and to get an insight of the water saturation profile below the landslide surface. The result of the resistivity study showed high to moderate conducting zone in the lower elevations of the landslide site. This was contrary to what we measured at the higher elevations, which showed higher resistive zones. This anomaly was profound and revealed the existence of water saturated zones below the surface of landslide at these lower elevations. In addition, resistivity results revealed that the weak water saturated debris layer was parallel to the geological contact that favored movement. Results of geotechnical investigation for soil showed that an average maximum dry density was 1.8 kg/m3 and average optimum moisture content was 31.84%. The results showed that the value of Coefficient of uniformity (Cu) was 6.4 and the value of Coefficient of curvature (Cc) was 0.894. The angle of internal friction and average cohesion values were calculated as 30.57° and 0.2 kPa respectively. A combined hydrological-slope study was performed using SLOPE/W software to understand the relationship of pore water in variations with the aforementioned soil parameters to determine the probability of a landslide occurrence. Finally, the identified conductive feature of the water saturated debris layer was correlated with the calculated slide mass using a slope stability model.

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2017

D. Raj, Dr. Maneesha V. Ramesh, and Duttagupta, S., “Delay Tolerant Routing Protocol For Heterogeneous Marine Vehicular Mobile Ad-Hoc Network”, IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, Kona, HI, USA, pp. 461-466, 2017.[Abstract]

Delay tolerant networks (DTN) are characterized by lack of end-to-end communications and stable infrastructures. This paper deals with DTN networks consisting of a number of heterogeneous mobile fishing vessels where some nodes, referred to as adaptive nodes, are capable of communicating through long-range Wi-Fi whereas other nodes are having simple Wi-Fi access network. The nodes form different clusters consisting of adaptive nodes and access nodes. Message routing in this heterogeneous network happens through adaptive nodes if the source and destination nodes belong to different clusters. Real data from field study reflects that mobile nodes in this network follow Gaussian-Markov mobility model and may have high inter-meeting arrival time based on deployment and node density. Our proposed DTN routing protocol incorporates simple encounter-based message forwarding and achieves lower latency and high delivery probability in the range of 90-98% for most of the scenarios. The proposed protocol is verified through a realistic mobile ad-hoc wireless simulator.

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2017

Sethuraman Rao, Dr. Maneesha V. Ramesh, and Rangan, D. P. Venkat, “Mobile Infrastructure for Coastal Region Offshore Communications and Networks”, 2017.[Abstract]

A marine communication system has an on-shore base station providing a long-range network, an Internet router connecting the base station to an Internet network, a plurality of first fishing boats in a cluster, each having an onboard Access Router, and at least one second boat in the cluster equipped with Adaptive Backhaul Equipment, including a directional antenna and a backhaul transceiver capable of accessing the network provided by the base station. The access routers provide communication with communication devices used by fishermen aboard the boats, and at least one Access Router communicates with the equipment aboard the at least one second boat in the cluster, thereby providing Internet connectivity and email, voice, text and video communication through the base station and the Internet network, to the fishermen aboard the boats in the cluster.

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2017

G. S. Menon, Dr. Maneesha V. Ramesh, and P., D., “A Low Cost Wireless Sensor Network for Water Quality Monitoring in Natural Water Bodies”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]

Water is one of the precious factors in human life. It plays a vital role in the survival and existence of flora and fauna. But, now a days it is been exploited heavily by dumping of human waste, industrial and chemical waste in to the water bodies which is the resultant of water being contaminated with toxic chemicals. Water scarcity and water contamination has been one of the major issues faced by the society around the world. In many developing countries like India, the main focus is given to industrialization and urbanization. But this has caused an increased water usage and water contamination. This paper deals with the monitoring of water quality by mainly considering the physical and chemical properties of water. For this purpose, a Wireless Sensor node is designed which will contain several sensors to sense the chemical contents of water. The highlight of sensor node is that it is water proof. The main components of WSN include microcontroller for processing the system, communication system for inter and intra node communication and several sensors. The power for the sensor nodes are obtained from the solar panels connected to the sensor nodes. Though, in earlier times, there were water quality monitoring systems, they were power hungry and not real time. Apart from acting as a single system, if this system integrates with other innovative solutions like Smart Home or Smart Building, the application of this system would increase leading to an increased demand for it. This paper highlights on how a real time monitoring system can be made generic, using Network Virtualization. Also, new technologies like Internet of Things (IoT) could be incorporated in this system to make it advanced.

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2017

A. Viswanathan, B, S. Shibu N., Sethuraman Rao, and Dr. Maneesha V. Ramesh, “Security Challenges in the Integration of IoT with WSN for Smart Grid Applications”, in 2017 IEEE International Conference on Computational Intelligence and Computing Research(ICCIC), Coimbatore, 2017.

2017

Durga P, Narayanan, G., Gayathri, B., Dr. Maneesha V. Ramesh, and Divya, P., “Modelling a Smart Agriculture System for Multiple Cropping Using Wireless Sensor Networks”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]

The field of wireless sensor networks is progressing at a very rapid pace with one of its major application in the area of agriculture. Several research problems have been addressed and solutions have been proposed. Most of these works are based on single crop scenario. Research done in the multiple-cropping scenario, where two or more crops are sown in a single field in the same year, are very few. Here, a unique solution for multiple cropping scenarios, in a system design perspective is proposed. The system forms a closed loop by including MAC protocol, data aggregation, routing and localization developed specifically for this scenario.

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2017

P. Rekha, Rangan, V. P., Dr. Maneesha V. Ramesh, and Nibi, K. V., “High Yield Groundnut Agronomy: An IoT Based Precision Farming Framework”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]

Agriculture is one of the main needs for human to survive. Agriculture has to tackle many problems like changing climate, water shortage, changing soil quality, etc. Due to the increasing demand for cereals and other crops for daily usage by the consumers there is a need for smarter implementation of irrigation and also develop farming methods that alter the basic eco systems and is less harmful to other creatures. India is one of highest crop producing countries all over the world. At the same time, India is facing the challenge of farmers committing suicide because of crop failure and debt. Most of the land in India is still being used for agriculture purposes. Still there exists several places that uses very primitive methods for irrigation, fertilization etc. This leads to the reduction in the crop yield and eventually less income for the farmers. This paper discusses the design and development of an IoT framework that helps farmers to improvise their methods of farming and also make the best use of their land for a better yield and income. The major goal of this IoT framework is to sense agriculture characteristics and advice farmers to properly grow and treat the crops. The system deploys a group of wireless sensor networks nodes deployed in the field for sensing agricultural parameters and the RF communication of WSN node is used to transmit the measured data to base station. Base station is connected to a decision support system. Based on the sensed parameters and the optimum values, the decision support system will generate an appropriate message for farmers. By using the collected data from the sensors, the proposed system will provide suggestions about the monitoring crop such as irrigation timings, directions for optimum usage of fertilizers etc. in accordance to the farmers' lands. An android application has been designed to deliver the messages to farmers in their regional language. The android app also gives information regarding the weather forecast and precaution to be taken based on the weather forecast.

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2017

R. Prabha, Dr. Maneesha V. Ramesh, Rangan, V. P., Ushakumari, P. V., and Hemalatha, T., “Energy Efficient Data Acquisition Techniques Using Context Aware Sensing for Landslide Monitoring Systems”, IEEE Sensors Journal, vol. 17, pp. 6006-6018, 2017.[Abstract]

Real-time wireless sensor networks are an emerging technology for continuous environmental monitoring. But real-world deployments are constrained by resources, such as power, memory, and processing capabilities. In this paper, we discuss a set of techniques to maximize the lifetime of a system deployed in south India for detecting rain-fall induced landslides. In this system, the sensing subsystem consumes 77.5%, the communication subsystem consumes 22%, and the processing subsystem consumes 0.45% of total power consumption. Hence, to maximize the lifetime of the system, the sensing subsystem power consumption has to be reduced. The major challenge to address is the development of techniques that reduce the power consumption, while preserving the reliability of data collection and decision support by the system. This paper proposes a wavelet-based sampling algorithm for choosing the minimum sampling rate for ensuring the data reliability. The results from the wavelet sampling algorithm along with the domain knowledge have been used to develop context aware data collection models that enhance the lifetime of the system. Two such models named context aware data management (CAD) and context aware energy management (CAE) have been devised. The results show that the CAD model extends the lifetime by six times and the CAE model does so by 20 times when compared with the continuous data collection model, which is the existing approach. In this paper, we also developed mathematical modeling for CAD and CAE, which have been validated using real-time data collected in the past.

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2017

Dr. Maneesha V. Ramesh, Pullarkatt, D., Geethu, T. H., and P. Rangan, V., “Wireless Sensor Networks for Early Warning of Landslides: Experiences from a Decade Long Deployment”, in Advancing Culture of Living with Landslides, Cham, 2017.[Abstract]

Landslides are the third largest disasters worldwide. In order to save innocent lives and property damage, a system for understanding, assessment and early warning of the landslides is highly necessary. In this work, we have designed and developed an integrated wireless sensor network system for real-time monitoring and early warning of landslides. This paper will discuss the detailed requirements and design criteria considered in the design and development of the Intelligent Wireless Probe (IWP), to capture the relevant landslide triggering parameters. The network of IWPs is used to derive the local or regional contribution of geological, hydrological, and meteorological factors towards the initiation of a potentially imminent landslide. This heterogeneous sensor system provides the capability for gathering real-time context aware data to understand the dynamic variability in landslide risk. The data from these systems are continuously transmitted to our control center for real-time data analysis to derive the possibility of an imminent landslide. Based on the knowledge discovery from these analyses a three level warning system was developed to issue real-time landslide warnings. We have deployed the complete system in Western Ghats and North Eastern Himalayas in India. The system in Munnar has proven its validity by delivering real time warnings to the community in 2009, 2011, and 2013 and continues to monitor landslides even today for the tenth year in a row. The results from the experimentation shows this system has contributed in enhancing the reliability of landslide warning, reduced false alarm rate, and provides the capability to issue warnings in local, slope and regional levels. After the success of this work, Government of India has adopted the system nationally as a result of which we have carried out a second deployment in the North Eastern Himalayas.

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2017

S. Kumar, P. Rangan, V., and Dr. Maneesha V. Ramesh, “Design and Validation of Wireless Communication Architecture for Long Term Monitoring of Landslides”, in Advancing Culture of Living with Landslides, Cham, 2017.[Abstract]

Landslide prone areas are mostly in remote regions, with very limited network connectivity. Hence it is very challenging to develop a continuous monitoring system, which can deliver early warning of landslides. For developing most appropriate communication architecture we need to consider the following factors that could deliver long term monitoring and real-time early warning of landslides. The factors are: (1) frequency of data collection from spatially distributed heterogeneous sensors based on their impact on the landslide initiation (2) acceptable tolerance limit of latency for each type of data packet arrival, (3) adaptive bandwidth requirement for efficient data transfer with respect to balance energy in each wireless sensor nodes, (4) adaptive routing of the data based on the propagation, terrain and climatic effects, (5) remote maintenance using node level reconfiguration and network level reconfiguration (6) secured real time data transfer (7) scalable to multi-site deployments etc. In this work, considering all the above factors we have developed context aware heterogeneous communication architecture. We have deployed the proposed communication architecture in two landslide prone areas, where one of the architecture is functional for the last ten years. This architecture has supported in collecting real time data from more than 150 geophysical sensors in adaptive frequency rate, remote configuring the sensor sampling rate, remotely triggering new software updates, providing prioritized service delivery based on the landslide alert level, data dissemination based on the warning levels etc. We have also designed and developed a Lightweight Management Framework (LMF) for this real-time, 24/7 operational, heterogeneous network. This LMF provides the ability to incorporate different heterogeneous networks such as 802.15.4, 802.11b/g/n, VSAT, GPRS, GSM, Internet and also proprietary wireless sensor network and hardware architectures. It also handles various network failures, data corruption, packet loss, and congestion problems. In this paper, we will discuss the performance evaluation and validation results of this architecture for achieving real-time monitoring and warning of landslides.

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2017

J. P. Dhivvya, Jayakrishnan, V. M., Thomas, E. K., Dr. Maneesha V. Ramesh, and Divya, P., “Towards Energy Conservation in Campus using Wireless Sensor Network”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]

Educational institutions, should set a role model, in the reduction of the carbon foot print, to protect mother earth. In this paper we focus on designing a Wireless Sensor Network (WSN) based system, which can efficiently conserve the energy of class rooms and labs. We have identified temperature, light, pressure sensors to be utilized for this application. Infra Red receiver and transmitter is used to detect an event whether a person is leaving the room or not. Server room is checked for humidity, temperature, smoke by an integrated sensor, which sends the sensed data to the cloud. So all the sensors send the data periodically to the cloud, which processes the collected data and send the triggered response to the necessary output device and message the facility manager to take administrative actions. The status of each room in each floor is ultimately received at the central monitoring station at the ground floor of the building. The proposed system is designed in such a manner, it can be replicated cost-efficiently in multiple buildings within a campus by using low cost sensors and with the existing communication devices. Therefore this Green Campus System (GCS) design based on wireless sensor networks help in meeting the target of sustainable cities by reducing the overall energy consumption and improving the efficiency in the energy resource management

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2017

Dr. Maneesha V. Ramesh, Nibi, K. V., Kurup, A., R. Mohan, Aiswarya, A., Arsha, A., and Sarang, P. R., “Water Quality Monitoring and Waste Management using IoT”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]

Poor water quality in Pettipalam Colony in Thalassery, Kannur District, Kerala is the source of many health issues among the colony residents. Soil and water contamination due to the accumulation of waste is another serious issue that adversely affects the health of the inhabitants in the area. There is a compelling need for the village inhabitants to appropriately monitor the water bodies and take suitable measures to dispose of the waste in the area. Over 2 acres of land is inhabited by people in Pettipalam Colony at Thalassery. Their colony ground was used as a municipal waste dump yard until 2014. Presently, also, the colony residents use the area for waste disposal and open defecation, thus contaminating the land and soil with plastic, organic, and chemical pollutants, etc. These contaminants affect the ground water and get washed into the water bodies when it rains, thus polluting the water resources. Techniques such as Bio-remediation (use of microorganisms to remove or neutralize pollutants) and vermi-composting, which triggers growth of plants that absorb the contaminants, can be introduced to address the issue of reducing the level of contaminants in the soil. But these solutions require proper identification of the contaminants. An extensive sensor system, which can monitor the contaminants in the soil as well as the water bodies, is essential. This project aims to design and develop an IoT based system that can sense the environmental parameters and effectively deliver information on the level of contamination and the quality of the water. Sensors to detect the hydrocarbons, chemical and metal content in the soil can be integrated into a soil probe for monitoring the soil contamination. And sensors for detecting pH, conductivity, dissolved oxygen, turbidity, etc. can be used for monitoring the water quality in the rivers, ponds, etc. in the site of interest. The design, development and implementation of an IoT based system will help the authorities take the necessary steps to perform proper waste management of the affected area. We anticipate that monitoring the suitable parameters will help to impact land restoration initiatives in many areas of India.

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2017

S. Narendran, Pradeep, P., and Dr. Maneesha V. Ramesh, “An Internet of Things (IoT) based Sustainable Water Management”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]

Increasing dependence on groundwater as a reliable source of water in the rural areas has resulted in its indiscriminate extraction without considering the recharging capabilities of the aquifers as well as other environmental factors. As the availability of groundwater is highly inconsistent and exhibits substantial variations across the country, management of groundwater resources in the Indian context is an extremely crucial proposition. In this paper, we are discussing about a sustainable water management system based on Internet of Things (IoT), which automates the water distribution and storage as well as regulation of water wastage. The requirement analysis is performed for Gudipadu Cheruvu, a remote rural village in Andhra Pradesh, India, where frequent water scarcity issues occur. An IoT system designed for sustainable water management is proposed for the Gudipadu Cheruvu village. The results of the proposed design, and its evaluation are described in this paper.

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2017

V. Mohan, Garcia, V. C., Frey, M. L. M., Dr. Maneesha V. Ramesh, Devidas, A. R., Shibu, N. B. S., R. Mohan, and Pokkiyarath, M., “Assessing Village Power Grid Problems for Development of Quality and Stable Supplemental Sustainable Energy”, in 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017.[Abstract]

The UN Millennium Development Goals have in recent years understood and emphasized the critical connection between rural poverty and health issues, and lack of any or proper electrification. Although Indian village electrification has been a priority for the government for a number of years, it is a huge task given the millions of households residing in rural areas. Further, not all claims of village electrification reflect actual access to the grid nor consistent quality of access, when available. This paper addresses an assessment of electrification challenges in villages, as well as potential renewable resource availability. In response to electrification concerns expressed by villagers in the state of Jharkhand, a functional assessment of the existing grid was conducted, as well as an assessment of personal, business, and community electrification needs expressed by villagers. Multiple problems were discovered and are reported here. With village participation, alternative sustainable energy sources were explored, and the most feasible alternative sources to meet village needs for sustainable, reliable energy supplementing the current grid were identified. This paper also presents a detailed needs-assessment of villagers which will influence the potential sustainable energy solution.

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2017

K. Athira, Devidas, A. R., Dr. Maneesha V. Ramesh, and Rangan, V. P., “User Centered Energy Management Scheme for Smart Buildings”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.[Abstract]

Because power grids experience dynamic variations in energy generation and demand, inclusion of renewable energy alone will not assure self-sustainability of smart buildings. Energy sustainability can be achieved by developing an energy friendly, context aware wireless sensor network which is overlaid on the existing electrical network. This smart environment is supported by efficient algorithms for dynamic energy management in smart buildings. Generally, the home energy management system has different functions. These include a) controlling the energy consumption at peak times, b) updating consumers about the real time power consumption inside the home area network, and c) helping the consumer to schedule the operation of appliances based on the real time pricing from the utility company. Also it is very important to analyze how the users can minimize electricity bills while achieving electrical energy conservation with a reasonable level of consumer comfort. The proposed availability based management algorithm (AMA) enhances the existing home energy management system by helping the consumers to supervise and control their monthly electricity tariff payment. The AMA performs an advance initial distribution of energy for upcoming days which helps to keep the power consumption of the residence within a stipulated limit. This research explains and demonstrates, using real data collected from an office building case example, how the AMA works in different scenarios. The results show that the AMA offers effective management of monthly tariff and energy consumption in variable use cases. From the experimentation result, the proposed system achieves 65.08% deduction in energy consumption with the energy unaware system and 30.16% deduction in energy consumption with pattern based energy management system.

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2017

T. Hemalatha, Dr. Maneesha V. Ramesh, and Rangan, V. P., “Adaptive Learning Techniques for Landslide Forecasting and the Validation in a Real World Deployment”, in Advancing Culture of Living with Landslides, Cham, 2017.[Abstract]

A forecasting algorithm using Support Vector Regression (SVR) used to forecast potential landslides in Munnar region of Western Ghats, India (10.0892 N, 77.0597 E) is presented in this paper. Forecasting for the possibility of landslide is accomplished by forecasting the pore-water pressure (PWP) 24 h ahead of time, at different locations and across soil layers under the ground at varying depths, and computing Factor of Safety (FoS) of the slope. It is done by learning from the real-time sensor data gathered from Amrita University's Wireless Sensor Network (WSN) system deployed in Western Ghats for monitoring and early warning of landslides. We use two variations of SVR, SVR-Historic and SVR-Adaptive. SVR-Historic algorithm is trained with the data from July 2011 to December 2015 and tested for the period from January to November 2016. SVR-Adaptive algorithm is adaptively trained from July-2011 onwards and tested for the period from January to November 2016. PWP and the computed FoS from both the algorithms are compared with the actual PWP and FoS data and the Mean Square Error (MSE) for the SVR-Historic model is found to be 48.726 and 0.002 whereas the MSE for SVR-Adaptive model is found to be 12.438 and 0.0007 respectively. The PWP and the computed FoS from both the algorithms are tested for correlation using Pearson's correlation test, with 95{%} confidence interval and the coefficients for PWP is found to be 0.804 and 0.959 respectively with p-value of 2.2e−16, whereas for FoS it is 0.802 and 0.955 with p-value of 2.2e−16. The confidence intervals for PWP and FoS from both the models is 0.763 to 0.839 and 0.950 to 0.969 respectively. Among the two forecasting models, SVR-Adaptive model performs better with a low MSE of 12.438 and 0.0007 in forecasting PWP and the computed FoS values respectively and correlates with the real-time data {\textasciitilde}95{%} of the times. Application of this forecasting algorithm in real-world can thus provide 24 h extra time for early warning which is a boon for government and public to prepare for landslides after early warnings.

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2017

B. Swathi, Kumar, M. N., Pullarkatt, D., and Dr. Maneesha V. Ramesh, “Wireless Movement Sensor Network for Real-time Monitoring of Slope Instability”, in 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017.[Abstract]

Every year, landslide causes an average loss of about 200 lives and 500crores in the high altitude regions like Himalayas and Western Ghats in India. Deployment of early warning systems for landslides could lead to reduction in the landslide risk. Inclinometers are one of the major sensors used for detecting the subsurface movements, contributing to higher cost and complexity for large scale monitoring of landslides. This necessitates the development of an affordable system for continuous monitoring of subsurface movements. In the research work, we propose an architecture for a multilevel movement sensor system to determine the strain initiation point and its propagation due to the internal micro movements beneath the earth. This research aims to identify the most appropriate strain gauge measurement model. Modeling and simulation of the different parameters and configurations of strain measurements, displacement, voltage ratio, and resistance change are performed using Ansys Workbench. Relationship among these parameters and configurations are derived based on the detailed simulations performed and the results are discussed in this paper. These relationships are used to design and develop the cost effective multilevel strain gauge set up for capturing real-time sub surface movements leading to landslide.

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2017

S. R. George, Devidas, A. R., and Dr. Maneesha V. Ramesh, “Smart Personalized Learning System for Energy Management in Buildings”, in 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), 2017.[Abstract]

Integration of energy management systems into existing buildings brings in several challenges and financial constraints. Some of the challenges in the existing smart building solutions are that they require large-scale deployment of sensors, high rate of data collection, real-time data analysis in short span of time, and lack of knowledge about the energy usage with respect to the behavior of individuals and groups. This work proposes an affordable wearable device system as an alternative for large-scale deployment of sensors in industrial buildings. For effective energy management in the buildings, a personalized behavior analysis has been done in machine learning and neural networks algorithm and integrated with the proposed system. The complete system is implemented and tested extensively. The results show that the proposed system could provide 85% user comfort and 23% energy savings.

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2017

V. V. Sai, Hemalatha, T., and Dr. Maneesha V. Ramesh, “An Affordable Non-destructive Method for Monitoring soil Parameters in Large Scale using Electrical Resistivity Technique”, in 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017.[Abstract]

Landslides are ruinous disaster that claim loss of many life and property. In order to develop an early warning system to detect landslides, the vital parameters that trigger the landslides should be identified and monitored. Soil moisture content is one of the vital parameter that provides information about the dynamic changes in the infiltration rate through different soil layers due to rainfall. Deploying moisture sensors in multiple layers at different depths increases the complexity and cost of deployment for large scale monitoring of landslides. In this paper we propose a system using electrical resistivity to continuously monitor moisture variations in multiple soil layers, at spatially distributed locations. Electrical resistivity technique is used as a non-destructive geotechnical method to derive the large-scale soil subsurface properties, especially gravimetric soil moisture content. An experimental set up has been implemented to derive the in-situ gravimetric soil moisture content. The relationship of electrical resistivity with soil moisture content and bulk density is derived based on extensive experimentations. Detailed statistical characterization of the results is performed. Comparison of the experimentation results with real moisture values are performed and the effectiveness of the proposed system has been shown in this paper.

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2016

K. Sangeeth, Preeja Pradeep, Rekha, P., P., D., Aryadevi, R. D., and Dr. Maneesha V. Ramesh, “Over the Air Programming Method for Learning Wireless Sensor Networks”, K. J. Kim and Joukov, N. ICISA 2016, Vietnam: Springer Singapore, 2016, pp. 555–566.

2016

N. Sruthi, P., D., and Dr. Maneesha V. Ramesh, “Topology preserving map generation for multiple mobile fishing vessels”, Advances in Intelligent Systems and Computing, Artificial Intelligence and Evolutionary Computations in Engineering Systems, vol. 394, pp. 259-272, 2016.[Abstract]

In Indian coastal zone, real-time tracking of fishing vessels is nonexisting. This leads to numerous challenges in search and rescue operation, communicating emergency messages, etc. A quick solution for this is to install GPS devices, which is costly. In our research work, we designed and developed a low-cost hybrid solution with minimum number of location aware nodes. Real-time relative location information of mobile sensor nodes was developed by integrating mobility management, virtual coordinate system (VCS), and topology preserving map (TPM). The architecture is implemented in MATLAB and is tested with a rectangular network scenario with up to five mobile nodes and is able to track the relative location trace of mobile nodes at a particular interval of time. The effect of various simulation parameters such as communication range, node placement, number of mobile nodes, and sampling rate selection in tracking the mobile nodes with our system is also performed. © Springer India 2016.

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PDF iconH-Plane-Intelligent-Data-Management-for-Mobile-Healthcare-Applications.pdf

2016

A. Arunan, Rahul K Pathinarupothi, and Dr. Maneesha V. Ramesh, “A Real-time Detection and Warning of Cardiovascular Disease LAHB for a Wearable Wireless ECG Device”, in 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2016, pp. 98-101.[Abstract]

According to the World Health Organization, an estimated 17 million people die annually due to cardiac disease, which accounts for 30% of the global deaths. Current studies on cardiac diseases indicate that 15% of the people have Left Anterior Hemiblock (LAHB), which ranks third after Right Bundle Branch Block (RBBB) and Left Bundle Branch Block (LBBB). To our knowledge, a reliably consistent disease detection and warning algorithm is not currently available for LAHB although various ECG morphologies can be monitored for real-time detection of LAHB. The objective of this research is to develop a real-time detection and warning of LAHB. The presented work describes the design of a weighted feature-based disease classification algorithm, which can be run in a resource constrained mobile environment for effective realtime diagnosis. The testing and evaluation of the algorithm indicates that it is able to detect LAHB with an accuracy of 95.3% and specificity of 100%. © 2016 IEEE.

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PDF iconA-Real-time-Detection-and-Warning-of-Cardiovascular-Disease-LAHB-for-a-Wearable-Wireless-ECG-Device.pdf

2016

A. M. S, K, A., Devidas, A. R., and Dr. Maneesha V. Ramesh, “A Smart Positioning System for Personalized Energy Management in Buildings”, in 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016, pp. 742-747.[Abstract]

Energy consumption in official buildings contributes to 42% of total energy generation in India. The key features in commercial buildings are usage of high energy consuming devices, long duration of usage of electrical equipments, large population density and large equipment density compared with the floor area usage in houses. Hence this problem has motivated to perform research on energy management in official buildings. The individuals in these buildings mostly have unique authority on most of the equipments they handle, and they have their own comfort level requirement based on the context and the equipment availability. Therefore, to devise an effective energy management solution it is required to consider personal requirements with highest priority than the community requirements. Hence in this research work we design and develop systems & solutions needed for Personalized Energy Management (PEM). Our proposed system is developed to capture the spatio-temporal data of context and electrical usage pattern for each individual with bare minimum sensors. To address this challenge, we proposed a smart positioning system (SPS) for personalized energy management. In SPS, we have developed an Real time Smart Positioning System (RSPS) algorithm for integrating electrical map and sensing coverage of electrical appliances inside a building to position the individual in real-time with respect to each of the electrical appliances. Using SPS, the current position of an individual inside the building is determined along with the position of nearby electrical appliances to automate the appliance usage. This is performed using the proposed RSPS algorithm where real-time mapping of electrical map, sensing coverage of nearby equipments, signal strength, and pattern of individual requirements are used to control usage of equipments related to individual's choice. Experimental analysis of the RSPS algorithm on our prototype has been performed and the results showed that it requi- es a minimum of 2 coverage and it is not required to have 3 coverage as in other localization algorithms. Under the above condition of 2 coverage this algorithm was able to achieve an accuracy of 90%.

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PDF iconA-Smart-Positioning-System-for-Personalized-Energy-Management-in-Buildings.pdf

2016

R. Guntha, Devidas, A. R., and Dr. Maneesha V. Ramesh, “High-performance fault-tolerant data caching and synchronization architecture for smart-home mobile application”, Lecture Notes in Electrical Engineering, vol. 391, pp. 135-144, 2016.[Abstract]

Mobile devices are becoming the preferred choice for internet access as they are getting increasingly powerful and affordable. But because of lack of ubiquitous high bandwidth wireless internet, many mobile applications suffer from performance and reliability issues while accessing data from the servers. While many of the applications use caching mechanism to store data locally on mobile device to improve data access performance, they are not thoroughly focusing on related areas such as two-way data synchronization, fault tolerance and recovery, offline mode support and real-time update support. And hence even many reputed applications show inconsistent and out-of-date data; especially during network and battery outages. In this paper we propose usage of Replication process, Pending data process, targeted data update broadcasts to solve the above issues in the software architecture of Smart-Home project. © Springer Science+Business Media Singapore 2016.

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PDF iconHigh-Performance-Fault-Tolerant-Data-Caching-and-Synchronization-Architecture-for-Smart-Home-Mobile-Application.pdf

2016

R. Krishnan Pathinarupothi, Bithin Alangot, Dr. Maneesha V. Ramesh, Dr. Krishnashree Achuthan, and P. Rangan, V., “H-Plane: Intelligent Data Management for Mobile Healthcare Applications”, in Mobile Web and Intelligent Information Systems: 13th International Conference, MobiWIS 2016, Vienna, Austria, August 22-24, 2016, Proceedings, M. Younas, Awan, I., Kryvinska, N., Strauss, C., and van Thanh, D. Cham: Springer International Publishing, 2016, pp. 283–294.[Abstract]

We present an intelligent data management framework that can facilitate development of highly scalable and mobile healthcare applications for remote monitoring of patients. This is achieved through the use of a global log data abstraction that leverages the storage and processing capabilities of the edge devices and the cloud in a seamless manner. In existing log based storage systems, data is read as fixed size chunks from the cloud to enhance performance. However, in healthcare applications, where the data access pattern of the end users differ widely, this approach leads to unnecessary storage and cost overheads. To overcome these, we propose dynamic log chunking. The experimental results, comparing existing fixed chunking against the H-Plane model, show 13 %–19 % savings in network bandwidth as well as cost while fetching the data from the cloud.

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PDF iconh-plane-intelligent-data-management-for-mobile-healthcare-applications.pdf

2016

R. Guntha, Sangeeth, K., and Dr. Maneesha V. Ramesh, “Flexible Extensible Middleware Framework for Remote Triggered Wireless Sensor Network Lab”, Advances in Intelligent Systems and Computing, vol. 530, pp. 275-286, 2016.[Abstract]

Wireless sensor networks (WSN) are also being actively researched and learned as part of graduate and undergraduate technical disciplines as they are being applied in variety of fields such as landslide detection, smart home monitoring etc. It is essential for the students to learn the WSN concepts through experimentation. But it needs a lot of time, hardware resources and technical expertise to design, program, setup, and maintain these experiments. A shared remote triggered (RT) WSN test-bed which can be accessed, controlled, monitored through internet would be of great help for many students to learn these concepts quickly without any setup at their end. Our RT WSN test-bed consists of 11 experiments, each deigned to explore a particular WSN concept. Each experiment consisting of a WSN setup, a web interface for user input and results, and middleware layer to communicate between web and WSN [1, 2, and 3]. In this paper we present the architecture of our flexible and extensible middleware framework; a single code base supporting all the experiments which can be easily extended for any other WSN experiment just by configuring. We also illustrate the success of our system through the analysis of various usage statistics. © Springer International Publishing AG 2016.

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PDF iconFlexible-Extensible-Middleware-Framework-for-Remote-Triggered-Wireless-Sensor-Network-Lab.pdf

2016

S. Kumar, Rangan, P. V., and Dr. Maneesha V. Ramesh, “Poster: Pilot Deployment of Early Warning System for Landslides in Eastern Himalayas ”, in Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, 2016, vol. 03-07-October-2016, pp. 97-98.[Abstract]

Using wireless networks to connect and communicate between geological sensors is a more scalable and suitable way for designing landslide monitoring and warning system for larger areas spanning many acres. Added to this, if the system has the capability to function in solar power, then it becomes autonomous system with self-organizing and self-healing networks. But high terrain, steep slopes, dense vegetation and lack of light during monsoon season to generate solar power pose serious challenges to develop such an autonomous system with good wireless coverage. This paper is about efforts to design, develop and deploy one such landslide warning system in eastern Himalayas. Pilot deployment is already in place and full deployment is under progress.

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PDF iconPoster-Pilot-deployment-of-early-warning-system-for-landslides-in-eastern-Himalayas.pdf

2016

V. M. Lekshmy, Rekha, P., and Dr. Maneesha V. Ramesh, “Impact of algorithm complexity on energy utilization of wireless sensor nodes”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016.[Abstract]

Nowadays wireless sensor networks are implemented in a variety of fields to obtain real-time measurements. These networks are comprised of small, low cost devices called wireless sensor nodes (WSN). There are different types of wireless sensor nodes available in the market. Based on the requirements, wireless sensor nodes can be selected for each application. Power consumption is a major aspect in developing wireless sensor applications. In this paper, analysis of power consumption in different sensor nodes is conducted based on algorithms with different complexities. The experimental analysis results show that at a particular input current limit, Waspmote consumes 15% less power than MICAz mote in the case of O (1), 11.04% less in the case of O (n), 7.6% less in the case of O (n2), 3.9% less in case of O (log n) and 18.06% less in case of O (m+n)complex algorithms.

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PDF iconImpact-of-Algorithm-Complexity-on-Energy-Utilization-of-Wireless-Sensor-Nodes.pdf

2016

A. R. Devidas, Dr. Maneesha V. Ramesh, and Rangan, V. P., “High Performance Communication Architecture for Smart Distribution Power Grid in Developing Nations”, Wireless Networks, pp. 1-18, 2016.[Abstract]

In a smart distribution power grid, cost efficient and reliable communication architecture plays a crucial role in achieving complete functionality. There are different sets of Quality of Services (QoS) requirements for different data packets transmitting inside the microgrid (a regionally limited smart distribution grid), making it challenging to derive optimal communication architecture. The objective of this research work is to determine the optimal communication technologies for each data packet based on its QoS requirement. In this paper, we have proposed an architecture for a smart distribution power grid with Cyber Physical System enabled microgrids, which accommodate almost all functional requirements of a smart distribution power grid. For easy transition towards optimal communication architecture, we have presented a six-tier communication topology, which is derived from the architecture for a smart distribution power grid. The optimization formulations for each packet structure presented in this paper minimize the overall cost and consider the QoS requirements for each packet. Based on the simulation results, we have made recommendations for optimal communication technologies for each packet and thereby developed a heterogeneous communication architecture for a microgrid.

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PDF iconHigh-Performance-Communication-Architecture-for-Smart-Distribution-Power-Grid-in-Developing-Nations.pdf

2016

Rahul K Pathinarupothi, Dr. Maneesha V. Ramesh, and Ekanath Srihari Rangan, “Multi-Layer Architectures for Remote Health Monitoring”, in 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munich, Germany, 2016.[Abstract]

Remote health monitoring and delivery through mobile devices and wireless networks offers unique challenges related to performance, reliability, data size, power management, and analytical complexity. We present a multi-layered architecture that matches communication performance to medical importance of data being monitored. The priority of vital data and the context of sensing are used to select the communication medium and the power management policies. Further smartness is introduced into data summarization by employing a severity level quantizer, followed by a consensus abnormality motif discovery and an alert mechanism that prioritizes doctors' consultative time. We also present our successful implementation of the above multi-layered architecture in a system developed to remotely monitor cardiac patients.

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PDF iconMulti-Layer-Architectures-for-Remote-Health-Monitoring.pdf

2016

Rahul K Pathinarupothi, Ekanath Srihari Rangan, Bithin Alangot, and Dr. Maneesha V. Ramesh, “RASPRO: rapid summarization for effective prognosis in wireless remote health monitoring”, in 2016 IEEE Wireless Health (WH), 2016.[Abstract]

Consistent power and cost effective health monitoring has become the need of the hour especially for the unstable, chronically and critically ill. Here we present a novel architecture and algorithmic methodology combining the sensing subsystem, symptom summarization, and data transmission. Physiological parameters from multiple sensors feed into a severity quantizer and a subsequent multiplexer, the output of which is processed by the RASPRO engine to rapidly discover and alert any health criticalities. The architecture is optimized for communication and energy performance, and the algorithms result in lucid presentations to physicians. The whole system is the result of close collaboration between engineering and medical teams at one of the best known multidisciplinary universities, building on a multi-terabyte more than a million patient Amrita Hospital Information System (HIS) database, and is being readied for deployment on a large telemedicine network of more than 60 nodes in the Indian subcontinent and parts of Africa.

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2016

S. Shaji, Dr. Maneesha V. Ramesh, and Menon, V. N., “Real-time processing and analysis for activity classification to enhance wearable wireless ecg”, in Proceedings of the Second International Conference on Computer and Communication Technologies, 2016.[Abstract]

Health care facilities of our rural India are in a state of utter indigence. Over three-fifths of those who live in rural areas have to travel more than 5 km to reach a hospital and the health care services is becoming out of reach for the economically backward society of India. Currently, as the rural community experiences about 22.9% of death due to heart diseases [1], there is a need to improve the remote ECG monitoring devices to cater the needs of rural India. The existing wearable ECG devices experience several issues to accurately detect the type of heart diseases due to the presence of motion artifacts, and to warn the doctor during critical conditions. Hence, even though wearable devices are finding their place in today’s healthcare systems, the above mentioned issues discourages a doctor in depending upon it. So to enhance the existing wearable ECG device, a context aware system was designed to collect the BMA (Body Movement Activity). In this research work an innovative BMA classifier has been designed to classify the physical activities of users, from the real-time data received from context aware device. The test results of the BMA classifier integrated with the complete system shows that algorithm developed in this work is capable of classifying the user activity such as walking, jogging, sitting, standing, upstairs, downstairs, and lying down, with an accuracy of 96.66%.

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PDF iconReal-time-Processing-and-Analysis-for-Activity-Classification-to-Enhance-Wearable-Wireless-ECG.pdf

2016

P. Kirti Gupta, Martins, R., Chakarbarti, S., Remanidevi, A. Devi, Mäki, K., Krishna, G., Schätz, B., Dr. Maneesha V. Ramesh, and Singh, S. N., “Improving reliability and quality of supply (QoS) in smart distribution network”, in Power Systems Conference (NPSC), 2016 National, 2016.[Abstract]

Smart distribution grids will be a combination of existing electrical networks controlled by distributed software applications communicating via communication networks. This means that not only the reliability of individual technologies are crucial, but the interoperability is also pivotal for the robustness of the smart distribution network. These individual research areas (electrical network, distributed software controller and communication network) have their corresponding fault handling strategies and several proven solutions exist to ensure reliability. The objective of our work is to integrate the solutions from these individual technologies. We focus on the interoperability and integration of individual fault handling strategies that are essential for improving the reliability and robustness of the overall smart distribution network. In this paper, we describe our approach in creating a single solution from the existing individual strategies to create a robust smart distribution network. We also present the details of the demonstrator design that is being built to evaluate our approach.

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PDF iconImproving-reliability-and-quality-of-supply-(QoS)-in-smart-distribution-network.pdf

2016

Dr. Maneesha V. Ramesh, Mohan, R., and Menon, S., “Live-in-Labs: Rapid Translational Research and Implementation-based Program for Rural Development in India”, in GHTC 2016 - IEEE Global Humanitarian Technology Conference: Technology for the Benefit of Humanity, Conference Proceedings, 2016, pp. 164-171.[Abstract]

Government agencies, public institutions, and private companies in India have worked over six decades to empower Bottom of the Pyramid (BoP) or rural communities through various policies and interventions. Eighty-five percent of these technological interventions failed to create an impact as they lacked a holistic approach, scalability, sustainability, and effective interagency coordination. This paper discusses the successful implementation of interventions through Amrita University's Live-in-Labs™ program and proposes a model that ensures a co-design environment to develop technology-based interventions for rural development. The model aims to create a virtual ecosystem that will enable field practitioners, researchers, policymakers, and other stakeholders to plan, design, implement, and review scalable and sustainable interventions. The paper describes the key components of the model and investigates the sustainability, scalability, and impact of the technology interventions in the program's five main thematic areas - Infrastructure & Basic Facilities, Health & Livelihood, Education & Technology, Energy, and Environment & Farming - through a case study.

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PDF iconLive-in-Labs-Rapid-Translational-Research-and-Implementation-Based-Program-for-Rural-Development-in-India.pdf

2016

B. Hariharan, P. Rangan, V., Simi Surendran, Rekha, P., Arya Devi R. D., and Dr. Maneesha V. Ramesh, “Delay and energy optimization in multilevel balanced WSNs for landslide monitoring”, in 2016 IEEE Global Humanitarian Technology Conference (GHTC), 2016.[Abstract]

In most of the real world wireless sensor network deployments, the energy utilization is a critical factor as the nodes are battery powered. In most of the real-world deployments it is observed that the sensing subsystem consumes higher power. In order to extend the lifetime of such systems it is required to reduce the sensing energy than communication energy. We have deployed a system for monitoring Landslides in India consists of 150 geo-physical sensors and used solar panels to power these sensor nodes. The decision making in favor of Landslide occurrence is based on the maximum values obtained from the high priority sensors. As this maximum value is not frequently changing in the deployment, locating the sensor node with maximum value allows us to switch off the other sensors for a predetermined period of time. This work proposes an optimal balanced network topology for delay minimization by parallelizing data aggregation operation in each sub-network. The sensor node switch off schemes on the top of delay minimized topology enables the optimal utilization of the available solar power. The analysis of these mechanisms shows that, more number of nodes can be powered with the available source of energy and can increase the network life time.

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PDF iconDelay-and-energy-optimization-in-multilevel-balanced-WSNs-for-landslide-monitoring.pdf

2016

S. N. Rao, Dr. Maneesha V. Ramesh, and Rangan, V., “Mobile infrastructure for coastal region offshore communications and networks”, in Global Humanitarian Technology Conference (GHTC), 2016, 2016.[Abstract]

Marine fishermen risk their lives when they go as far as 120 km from the shore on a fishing trip lasting 5-7 days. They are completely cut off from the mainland. Cellular coverage exists only up to 12-15 km from the shore. In emergency situations, the fishermen have no way to call for help. Even under normal conditions, prolonged isolation from their family and friends causes mental depression. Since the marine fishermen are not economically well off especially in the developing countries, there has not been much commercial interest in addressing this problem. It is not seen as a profitable business proposition. However, addressing this problem will benefit the marine fishermen community immensely. Our center conducted interviews with several fishermen to understand this problem and came up with a cost-effective solution. The solution enables the fishermen to use the smart phones which they own already to get internet at sea using Wi-Fi. The Access Point (AP) on the boat connects over Ethernet to an onboard gateway to long range Wi-Fi backhaul network. The onshore base station is installed on a tower at a height of 50-60 m. Boats are also used as mobile base stations to extend the range of the network. This solution, when tested over the Arabian Sea, provided a range of 40+ km in the first hop and 20+ km every subsequent hop. This network can be operated on a cooperative community basis by the fishermen community at reasonable per capita CAPEX and OPEX. A pilot deployment is in progress in a coastal village community in Kerala, India, to gain operational experience.

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PDF iconMobile-infrastructure-for-coastal-region-offshore-communications-and-networks.pdf

2016

Dr. Maneesha V. Ramesh, Mohan, R., M Kumar, N., Brahmanandan, D., Prakash, C., Lalith, P., M Kumar, A., and Ramkrishnan, R., “Micro water distribution networks: A participatory method of sustainable water distribution in rural communities”, in Global Humanitarian Technology Conference (GHTC), 2016, 2016.[Abstract]

Water scarcity has been a major thrusting issue in rural India, warrantinga high demand to design and implement different water distribution networks for easy and efficient use of existing water sources. Both macro and micro level systems exist of which, macro level water distribution networks have higher capital and maintenance costs. This is due to its size and the remote beneficiaries to which it caters. This paper describes the design of one such water distribution system in two rural villages in India whose design considerations includes the local community needs, availability of labor, local resources, climate, cost, and time for implementation. This paper also compares the micro and macro water distribution network's impact on sustainability. Sustainability is defined in terms of water wastage, usage rate, source capacity, total network length, cost of deployment, source recharge, and the network leakage rate. The paper discusses the water distribution projectscompletedin a village in Orissa and in a village in Rajasthan (two states in India) where all households were given 24/7 access to clean and safe drinking water for more than a year. The paper also draws insights on the socio-economic impact of the project carried out in these two states.

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PDF iconMicro-water-distribution-networks-A-participatory-method-of-sustainable-water-distribution-in-rural-communities.pdf

2016

S. Kumar, P Rangan, V., and Dr. Maneesha V. Ramesh, “Pilot deployment of early warning system for landslides in eastern himalayas: poster”, in Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization, 2016.

2016

P. Lakshmi, Divya, P., and Dr. Maneesha V. Ramesh, “Impact of Mobility of Anchor Nodes in Localization and Tracking of Multiple Mobile Nodes”, International Journal of Computer Science and Information Security, vol. 14, p. 252, 2016.[Abstract]

Fishermen at sea lack proper localization and tracking systems leading to increased loss of life at sea due to disasters, engine failure, and collision with ships. To reduce the impact of such scenarios we need an efficient localization and tracking algorithm for approximate localization of fishing vessels in a spatio – temporal domain. In this work, we have analyzed few existing algorithms for localization of mobile sensor nodes and based on these results, an Enhanced Chord Based Localization Algorithm (ECLA) has been designed and developed. The proposed algorithm is implemented and extensively tested on the basis of different performance parameters such as mobility, localization accuracy, execution time etc. The experimental results clearly show that the proposed algorithm has better localization accuracy compared to the existing localization algorithms. The accuracy of the proposed ECLA algorithm is 26.5% better than that of Monte Carlo Boxed (MCB) localization scheme.

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PDF iconImpact-of-Mobility-of-Anchor-Nodes-in-Localization-and-Tracking-of-Multiple-Mobile-Nodes.pdf

2016

M. Radhika, Raj, D., and Dr. Maneesha V. Ramesh, “Comparison and Analysis of Opportunistic Delay Tolerant Network Protocols for Off-Shore Communication”, International Journal of Computer Science and Information Security, vol. 14, p. 338, 2016.[Abstract]

In a maritime environment, affordable long range communication network for fishing vessels are highly necessary for safety at sea and to communicate to shore and back to the fishing vessels. The existing communication architecture faces major challenges in achieving seamless connectivity due to the mobility of fishing vessels, lack of backbone infrastructure, propagation effects, and fault tolerance. In this work, we explored the capability of Delay Tolerant Networks (DTN) for providing better connectivity under the above mentioned parameters. Existing DTN protocols such as Epidemic, Spray and Wait and MaxProp protocols were studied and analyzed for maritime scenario. These protocols were simulated in Opportunistic Networking Environment (ONE) simulator and analyzed with respect to node density, node mobility, and intermittent connectivity. The results show that Epidemic protocol has moderate average latency, whereas Spray and Wait protocol and MaxProp has better data delivery rate with lesser average latency.

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PDF iconComparison-and-Analysis-of-Opportunistic-Delay-Tolerant-Network-Protocols-for-Off-Shore-Communication.pdf

2016

V. N. Deekshit, Dr. Maneesha V. Ramesh, Indukala, P. K., and G Nair, J., “Smart geophone sensor network for effective detection of landslide induced geophone signals”, in Communication and Signal Processing (ICCSP), 2016 International Conference on, 2016.[Abstract]

Landslides are one of the major natural disasters and an early detection of landslide can be achieved by identifying the landslide triggering vibrations recorded using a geophone network. The major research challenges in this effort are network energy consumption, noise removal and development of a wireless network for transmitting the captured signals. This paper presents design and testing of a wireless smart geophone network with enhanced signal processing capability at the site for recording and analyzing geophone signals. The system has the capability to detect landslide induced signals and remove different types of noises produced by footsteps, vehicular movement, rainfall, and stream flow, and transmit the event data to a local processor. For this purpose, a simple and cost effective Arduino based data acquisition system with geophone inputs is developed. This system helps in reducing the system energy conception and is highly reliable, low cost compared to other traditional systems. This paper mainly focuses on the hardware design of sensor system and algorithms for identifying the characteristics of geophone signals for detecting landslide induced seismic signals. The characteristics of geophone signals for different seismic events recorded by the system are also provided.

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PDF iconSmart-Geophone-Sensor-Network-for-Effective-Detection-of-Landslide-Induced-Geophone-Signals.pdf

2016

A. Singh, Dr. Maneesha V. Ramesh, and Divya, P., “Design and Simulation of Elephant Intrusion Detection System”, in 2016 6th International Workshop on Computer Science and Engineering, WCSE 2016, 2016.[Abstract]

Due to the increase in the population, human settlement is extending to forest border areas, causing conflicts between elephants and humans, leading to loss of life and property. Hence, large scale monitoring is required for real- Time detection and warning of elephant intrusion into human settlements. Existing solutions using seismic waves, image processing, etc. are costly solutions for large scale monitoring. The project aims at developing an affordable solution for large-scale monitoring and early warning of elephant intrusion. In this work, architecture for elephant intrusion detection using wireless sensor networks is proposed and also a low cost sensor system has been designed and developed after selecting the appropriate sensors for monitoring. After analysing the existing signal processing methods, the most suitable technique for real- Time detection of elephants is chosen and simulated. A two level detection system using microphones and IR sensors is used for monitoring the scenario and sound data is sent using FM transceivers to a PC

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2015

Preeja Pradeep, P., D., Devi, R. D. A., Rekha, P., Sangeeth, K., and Dr. Maneesha V. Ramesh, “A Remote Triggered Wireless Sensor Network Testbed”, in 2015 Wireless Telecommunications Symposium (WTS), 2015.[Abstract]

This paper presents a remote triggered wireless sensor network (WSN) testbed used to facilitate multi-user remote access to the WSN experiments for virtual learning of wireless sensor network concepts. This testbed provides multiset, multi-group of WSN experimental setup that is capable to provide opportunity to perform remote code editing using over the air programming mechanism. This testbed also provides an intuitive web-based interface to the registered users for running the experiments, accessing and editing the source code of the experiment from anywhere in the world by means of internet. This remote triggering mechanism offers the user a flexible environment for the experimentation. An experimentation setup of 150 wireless sensor nodes are developed to suit the design of both indoor and outdoor experiments. The outdoor lab setup allows the users to learn the wireless propagational effects in the real environment. The WSN indoor lab setup comprises of nine sensor network experiments which allows the users to learn the WSN concepts such as configuring a WSN, clustering mechanisms, time synchronization mechanisms and experience the practical implementation in real time. This test bed offers the researchers and students an opportunity to trigger their inquisitiveness by providing the access to remote equipments and materials needed for the experimentation, shared via virtual manner wherein the experiment conduction and output observation can be performed online through an effective visualization tool.

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PDF iconA-Remote-Triggered-Wireless-Sensor-Network-Testbed.pdf

2015

Preeja Pradeep, P, D., D, A. Devi R., Rekha, P., K, S., K, R., and Dr. Maneesha V. Ramesh, “A Remote Triggered Laboratory for Wireless Sensor Network Experimentation”, in ICCTS2015, 2015.[Abstract]

In this paper, we present a real time remote triggered laboratory which has multi-set, multi-group of wireless sensor network experimental setup which is envisioned to provide a practical experience of designing and implementing wireless sensor networks’ algorithms in both indoor and outdoor conditions. The architecture provides a remote code editing mechanism using deluge protocol that offers the user a flexible environment for the experimentation. Central and local authentication agents serve a two level security mechanism which makes the system robust to security threats. The lab is accessible for all the students in the world through internet and it will provide an intuitive web-based interface, where registered users can access the code and do code editing.

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PDF iconA-Remote-Triggered-Laboratory-for-Wireless-Sensor-Network-Experimentation.pdf

2015

A. R. Devidas and Dr. Maneesha V. Ramesh, “Power theft detection in microgrids”, in SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings, 2015, pp. 342-349.[Abstract]

Theft of electricity amounts to 1.5% GDP, of most of the developing nations like India. Hence there is a great need to detect power thefts in developing nations. In this paper, we have proposed a wireless network based infrastructure for power theft detection which caters to other functional requirements of the microgrid such as renewable energy integration, automatic meter reading etc. Algorithm for power theft detection (PTDA) which is proposed in this paper, works in the distributed intelligent devices of the microgrid infrastructure for power theft detection. The coordinated action of intelligent devices with PTDA in the microgrid infrastructure enables not only the detection of power theft, but the localization of power theft in the micro-grid. PTDA increases the 1) cost of communication 2) energy consumption of intelligent devices 3) packet latency, if any critical data is piggy backed with power theft data in micro-grid. To solve these issues, we have proposed EPTDNA (Efficient Power Theft Data Networking Algorithm) which uses the frequency of power theft detection and average power draw for power theft, for the efficient routing of power theft. The performance analysis and results given in this paper shows how EPTDNA solves the major issues with PTDA.

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PDF iconPower-Theft-Detection-in-Microgrids.pdf

2015

A. R. Devidas, George, S. R., and Dr. Maneesha V. Ramesh, “A system for energy conservation through personalized learning mechanism”, in SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings, 2015, pp. 357-363.[Abstract]

Several challenges exist in developing smart buildings such as the development of context aware algorithms and real-time control systems, the integration of numerous sensors to detect various parameters, integration changes in the existing electrical infrastructure, and high cost of deployment. Another major challenge is to optimize the energy usage in smart buildings without compromising the comfort level of individuals. However, the success of this task requires in depth knowledge of the individual and group behaviour inside the smart building. To solve the aforementioned challenges, we have designed and developed a Smart Personalised System for Energy Management (SPSE), a low cost context aware system integrated with personalized and collaborative learning capabilities to understand the real-time behaviour of individuals in a building for optimizing the energy usage in the building. The context aware system constitutes a wearable device and a wireless switchboard that can continuously monitor several functions such as the real-time monitoring and localization of the presence of the individual, real-time monitoring and detection of the usage of switch board and equipment, and their time of usage by each individual. Using the continuous data collected from the context aware system, personalized and group algorithms can be developed for optimizing the energy usage with minimum sensors. In this work, the context aware system was tested extensively for module performance and for complete integrated device performance. The study found the proposed system provides the opportunity to collect data necessary for developing a personalized system for smart buildings with minimum sensors.

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PDF iconA-System-for-Energy-Conservation-Through-Personalized-Learning-Mechanism.pdf

2015

Preeja Pradeep, P., D., Arya Devi R. D., Rekha, P., Sangeeth, K., Tinu, V., and Dr. Maneesha V. Ramesh, “An Energy Aware Schedule Based Remote Triggered Wireless Sensor Network Laboratory”, in 5th International Conference on IT Convergence and Security (ICITCS), Malaysia, 2015.[Abstract]

Over the past decade, experimentation for wireless sensor network (WSN) has been widely used to enrich the learning experience of educators and learners. Our remote triggered WSN laboratory is a multi-set, multi-group, WSN experimental setup that provides an intuitive web-based interface to carry out remote experimentation as well as code editing by registered users. This paper presents a multi-level time based scheduling algorithm for our lab which provides optimum utilization, performance and service. Our WSN testbed consists of more than 150 sensor nodes deployed in indoor and outdoor environment. Energy efficiency and delay optimization of WSN testbed are ensured in the design which employs TDMA and state transition schemes. We have implemented and tested two approaches for energy efficiency namely an on demand scheduling and a TDMA based approach which incorporates state transition and CDMA. The performance evaluation result shows that 78% power consumption has been reduced in second approach compared to first. The paper details the implementation of energy efficiency with dynamic scheduling for our real-time remote triggered WSN.

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PDF iconAn-Energy-Aware-Schedule-Based-Remote-Triggered-Wireless-Sensor-Network-Laboratory.pdf

2015

Sangeeth K., Preeja Pradeep, P., D., Rekha, P., Arya Devi R. D., L., S., and Dr. Maneesha V. Ramesh, “A Remote Code Editing Framework for AMRITA Remote Triggered WSN Laboratory”, in 5th International Conference on IT Convergence and Security (ICITCS), Malaysia, 2015.[Abstract]

Our AMRITA remote triggered lab (RT Lab) for wireless sensor networks (WSN) offer the students and researchers, an easy, efficient, interactive and user friendly environment to trigger their inquisitiveness by providing them with the sensors, equipments, hardwares and study materials for conducting the lab experiments. RT Lab offers a web-based e-learning platform for the registered users to perform experimentation and coding remotely based on the provided study materials which are shared to them virtually. The users can learn nesC programming language and conduct the coding by means of the code editing interface. The sensor nodes in the WSN testbed, deployed in indoor and outdoor environment, undergoes remote reconfiguration and the sensor data's are collected by the WSN gateway. The users can observe the experimentation result such as the plotted sensor data and physical representation of the sensor network along with the remote video through the visualization tool. The paper details the design and implementation of remote code editing platform for RT Lab.

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PDF iconA-Remote-Code-Editing-Framework-for-AMRITA-Remote-Triggered-WSN-Laboratory.pdf

2015

Rahul K Pathinarupothi, Dilraj, N., K, R., and Dr. Maneesha V. Ramesh, “A Low Cost Remote Cardiac Monitoring Framework for Rural Regions”, in MobiHealth 2015: 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", London, Great Britain, 2015.[Abstract]

Cardiovascular diseases in rural developing countries take a large toll of human lives, due to inadequate quality health care facilities and their limited reach to the patients. The burgeoning population of developing nations make the lin- ear organic scaling of health care facilities impractical to cater the diverse rural geography. Hence it is imperative to scale the health care facilities through wireless communi- cation technologies in an aordable manner. Timely anal- ysis of ECG data is critical for early diagnosis and treat- ment of several cardiovascular diseases. With this aim, a wearable wireless ECG monitoring framework, named as Amrita-Spandanam was designed. This framework consist of a patient wearable device and a patient smart phone with Amrita-Spandanam application, enabling a doctor/hospital to monitor the remote patient through his internet con- nected mobile phone or web browser. The framework does the post analysis of the ECG signal using a backend server to disseminate warnings to the doctor and the patient. Sev- eral de-noising algorithms were applied to the acquired ECG signal prior to this post analysis. The framework was imple- mented successfully enabling real time remote monitoring of the cardiac patients in rural villages.

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PDF iconA-Low-Cost-Remote-Cardiac-Monitoring-Framework-for-Rural-Regions.pdf

2015

Rahul K Pathinarupothi and Dr. Maneesha V. Ramesh, “QRS axis based classification of electrode interchange in wearable ECG devices”, in MobiHealth 2015: 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies", London, Great Britain, 2015.[Abstract]

Wearable ECG monitoring is becoming a convenient way for patients as well as doctors, in tracking and diagnosing heart diseases among large population in rural areas. Wear- able ECG devices along with the smartphones are used to capture and transmit ECG data to hospitals where medi- cal practitioners diagnose and make suitable interventions. ECG electrode cable misplacement poses signicant chal- lenge when untrained population is the end-user. We present a real-time lead misplacement detection system for Mason- Likar lead conguration to provide immediate feedback to patients. It reduces chances of pseudo-disease diagnosis as well as the need for technicians to conrm the validity and quality of captured ECG data. The eld test results show that six dierent Mason-Likar electrode misplacement can be detected and dierentiated from a normal one with a condence value p=0.05.

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PDF iconQRS-Axis-Based-Classification-Of-Electrode-Interchange-In-Wearable-ECG-Devices.pdf

2015

D. Gopan, P., D., and Dr. Maneesha V. Ramesh, “Improved Topology Preserving Maps for Wireless Sensor Networks Through D-VCS”, Proceedings of the Second International Conference on Computer and Communication Technologies, vol. 380. Springer Verlag, pp. 11-20, 2015.[Abstract]

Network management is crucial to implement large wireless sensor network. The network may contain hundreds to thousands of node. Furthermore, it is imperative to know the connectivity and location of the nodes to envision the framework of the network. Compared to GPS and other localization techniques, the virtual coordinate (VC) system is an affordable and efficient solution. In previous studies, the hop count from all anchor nodes was used to define the VC of a node, but the studies do not address the chance of having the same virtual coordinates. This paper introduces a distance-based virtual coordinate system (D-VCS) that uses physical distance along the shortest path from all anchor nodes to obtain distinctive virtual coordinates (VC). In the current study, we tested and analyzed the proposed D-VCS and compared it with the hop-based VCS mentioned in a previous study. We introduced a metric for connectivity error which quantitatively analyzed the precision of the introduced system. After completing the study, we observed that the TPM obtained from D-VCS shows lesser error compared to hop-based VCS. Furthermore, there was a mean deviation in connectivity error of approximately 23% between both systems. © Springer India 2016.

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2015

Dr. Maneesha V. Ramesh, Devidas, A. Remanidevi, and P. Rangan, V., “Using CPS Enabled Micro-grid System for Optimal Power Utilization and Supply Strategy”, U.S. Patent 3978/CJE/20152015.

2015

Dr. Maneesha V. Ramesh, Devidas, A. Remanidevi, and P. Rangan, V., “Apparatus for Power Theft Detection On An Electrical Power Grid”, U.S. Patent 3933/CHE/20152015.

2015

Dr. Maneesha V. Ramesh, Mohan, N., and Devidas, A. Remanidevi, “Micro grid architecture for line fault detection and isolation”, in Smart Cities and Green ICT Systems (SMARTGREENS), 2015 International Conference on, 2015.[Abstract]

One of the major problems power grids system face today is the inability to continuously deliver power at the consumer side. The main reason for this is the occurrence of faults and its long term persistence within the system. This persistence of faults causes the cascading failure of the system, thereby adversely affecting the connected loads. Traditional methods of fault isolation cause the shutdown of power to a large area to maintain the system stability. Today, localization of faults and its isolation is doing manually. Therefore, a localized fault recovery mechanism is very essential to maintain the system’s stability after the occurrence of a fault. In this paper, we have developed fast fault detection and isolation mechanism for single phase to neutral line fault in a three phase islanded micro grid scenario. The fault detection and isolation during the islanded operation mode of a micro grid is very critical, since bidirectional power flow is present. The fault detection mechanism we developed can detect and isolate the fault within a few milliseconds and localize the fault within a two second delay for both in single and bi-directional power flow scenarios. The proposed system is capable of locating the exact faulted segment with the aid of the communication network integrated into the power grid. The implemented system was tested with different ranges of fault current and the analysis showed that the proposed system could localize the fault with less than a two second delay.

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PDF iconMicro-Grid-Architecture-for-Line-Fault-Detection-and-Isolation.pdf

2014

Dr. Krishnashree Achuthan, Raghu Raman, Dr. Maneesha V. Ramesh, and P, S., “Internationalizing Engineering Education With Phased Study Programs: India-European Experience”, in 44th ASEE/IEEE Frontiers in Education Conference (IEEE Xplore), 2014.[Abstract]

Most of the critical challenges seen in the past decades have impacted citizens in a global way. Given shrinking resources, educationists find preparing students for the global market place a formidable challenge. Hence exposing students to multi-lateral educational initiatives are critical to their growth, understanding and future contributions. This paper focuses on European Union’s Erasmus Mundus programs, involving academic cooperation amongst international universities in engineering programs. A phased undergraduate engineering program with multiple specializations is analyzed within this context. Based on their performance at the end of first phase, selected students were provided opportunities using scholarship to pursue completion of their degree requirements at various European universities. This paper will elaborate the impact of differing pedagogical interventions, language and cultural differences amongst these countries on students in diverse engineering disciplines. The data presented is based on on the feedback analysis from Eramus Mundus students (N=121) that underwent the mobility programs. The findings have given important insights into the structure of the initiative and implications for academia and education policy makers for internationalizing engineering education. These included considering digital interventions such as MOOCs (Massive Open Online Courses) and Virtual Laboratory (VL) initiatives for systemic reorganization of engineering education.

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PDF iconInternationalizing-Engineering-Education-With-Phased-Study-Programs-India-European-Experience.pdf

2014

Dr. Maneesha V. Ramesh, “Network-Based System for Predicting Landslides and Providing Early Warnings”, U.S. Patent US 13/168,3572014.[Abstract]

A wireless node for monitoring landslide conditions has at least one tubular probe body deployed in a borehole in a landslide prone area and anchored to rock below soil, multiple sensors carried by and deployed within and or outside of the tubular probe body for measuring geologic motion, hydrologic saturation and pressure at three or more levels of soil above the rock, a data acquisition board in communication with the sensors carried by and or deployed within or outside of the probe body, and a wireless transceiver in communication with the data acquisition board and accessible to a local area wireless network (LAWN). Geologic and hydrologic data of layers of soil above the anchor rock is from the sensors deployed on or near the probe body, the data qualified against threshold readings to provide graduating levels of alerts culminating in a warning of a landslide.

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PDF iconNetwork-Based-System-for-Predicting-Landslides-and-Providing-Early-Warnings.pdf

2014

Dr. Maneesha V. Ramesh, Shanmughan, A., and Prabha, R., “Context Aware Adhoc Network for Mitigation of Crowd Disasters”, Ad Hoc Networks, vol. 18, pp. 55-70, 2014.[Abstract]

Our research works focuses on the design and implementation of a novel ubiquitous multi context-aware mobile phone sensing network for mitigation of crowd disasters using machine-to-machine (M2M) communications. A mobile sensor network system integrated with wireless multimedia sensor networks (WMSNs) was designed for effective prediction of a stampede during crowd disasters. This proposed sensor network consists of mobile devices that are used as crowd monitoring participant nodes that employ light sensors, accelerometers, as well as audio and video sensors to collect the relevant data. Real-time crowd dynamics modeling and real-time activity modeling have been achieved by implementing the algorithms developed for Context Acquisition and multi-context fusion. Dynamic crowd monitoring was achieved by implementing the context based region identification and grouping of participants, distributed crowd behavior estimation, and stampede prediction based on distributed consensus. The implementation of the proposed architecture in Android smartphone provides light-weight, easy to deploy, context aware wireless services for effective crowd disaster mitigation and generation of an in time alert to take measures to avoid the occurrence of a stampede. The system has been tested and illustrated within a group of people for stampede prediction by using empirically collected data.© 2013 Elsevier B.V.

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PDF iconContext-Aware-Adhoc-Network-for-Mitigation-of-Crowd-Disasters.pdf

2014

Raghu Raman, Dr. Krishnashree Achuthan, Prof. Nedungadi, P., and Dr. Maneesha V. Ramesh, “Modeling Diffusion of Blended Labs for Science Experiments Among Undergraduate Engineering Students”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 135 LNICST, pp. 234-247, 2014.[Abstract]

While there is large body of work examining efficacy of Virtual Labs in engineering education, studies to date have lacked modeling Blended Labs (BL) - mix of Virtual Labs (VL) and Physical Labs (PL) for science experimentation at the university engineering level. Using Rogers theory of perceived attributes, this paper provides a research framework that identifies the attributes for BL adoption in a social group comprising of (N=246) potential adopter undergraduate engineering students. Using Bass model the study also accounts for the interinfluence of related group of potential adopter faculties who are likely to exert positive influence on students. The results revealed that acceptance of BL as an innovation and its learning outcomes are strongly associated with innovation attributes like Relative Advantage, Compatibility, Ease of Use, Department and Faculty support. Learning outcomes are very positive under BL when compared to PL, though within BL, ordering of PL and VL was not significant. For certain innovation attributes gender differences were significant. Overall students expressed much more positive attitude to adopt BL model for learning than using only PL. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014.

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PDF iconmodeling-diffusion-of-blended-labs-for -science-experiments-among-undergraduate-engineering-students.pdf

2014

Dr. Maneesha V. Ramesh, Raj Dhanesh, and Dilraj, N., “An Assistive Device for Managing Urinary Incontinence”, Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 2014. ACM, New York, NY, USA, pp. 1-4 , 2014.[Abstract]

Urinary Incontinence (UI) is a common and embarrassing condition affecting people of all age groups, especially women, aged population, patients with certain neurologic diseases, children born with spinal cord disorders, spinal trauma and other diseases of spinal cord, after certain pelvic and prostatic surgeries, etc., and they cause significant emotional impact on their quality of life. In this paper, we proposed a novel design of an assistive device for managing UI. We have also designed and developed a system for real time monitoring of urinary bladder and a control system for wirelessly triggering the opening and closing of an artificial sphincter by patients. One of the major requirements is on selecting a suitable electrically activated polymer that provides maximum deflection for minimum applied power. In this work we have studied and analyzed existing polymers and selected the most suitable Ionic Electro-Active Polymer (EAP) based on the results from the analysis. For continuous operation of this assistive device, one of the major challenges is to optimize the power usage. To achieve that goal, we have proposed and implemented a state transition algorithm for real-time optimization of power usage. The complete system is designed to be scalable to monitor multiple patients using one external device. Use of this device will provide an opportunity for the patients to engage in regular activities and also provide assistance and support for caretakers in old age homes and hospitals. A prototype of the complete system is developed, tested and results are described in this work.

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2014

Dr. Maneesha V. Ramesh, Raj, D., Dilraj, N., and , “Design of Wireless Real Time Artificial Sphincter Control System for Urinary Incontinence”, in Technology Management and Emerging Technologies (ISTMET), 2014 International Symposium on, 2014, pp. 44 - 49.[Abstract]

Urinary Incontinence is the most common health problem in old people, autistic kids and diabetic patients with significant social and economic impact in the quality of life. According to WHO, 20 million people are affected by Urinary Incontinence. This paper proposes an integrated architecture to continuously monitor the patients' bladder and remotely trigger the wireless artificial sphincter system using wireless power transfer in real time. After analysis, a few Ionic Electro Active Polymers (EAP) were selected to physically control the urethra. Possible designs using EAP polymer for urethra control are elaborated in this paper. This paper analyzes the major challenges of wireless power and data transfer and its impact on the design of the complete system. The proposed system provides a solution to continuously monitor the bladder and send alert messages to the control system that's on the patient's body. On receiving these alerts, patients' will remotely trigger the artificial sphincter control system to release the urine from their bladder. Thus the patients or caregivers can monitor the pressure inside their bladder and control urinal flow remotely by opening and closing the ionic EAP clip from outside. The system design has been simulated and tested with its different parameters and its results are discussed in this paper.

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PDF iconDesign-of-Wireless-Real-Time-Artificial-Sphincter-Control-System-for-Urinary-Incontinence.pdf

2014

P. Prof. Nedungadi, Harikumar, H., and Dr. Maneesha V. Ramesh, “A high performance hybrid algorithm for text classification”, in Applications of Digital Information and Web Technologies (ICADIWT), 2014 Fifth International Conference on the, 2014.[Abstract]

The high computational complexity of text classification is a significant problem with the growing surge in text data. An effective but computationally expensive classification is the k-nearest-neighbor (kNN) algorithm. Principal Component Analysis (PCA) has commonly been used as a preprocessing phase to reduce the dimensionality followed by kNN. However, though the dimensionality is reduced, the algorithm requires all the vectors in the projected space to perform the kNN. We propose a new hybrid algorithm that uses PCA & kNN but performs kNN with a small set of neighbors instead of the complete data vectors in the projected space, thus reducing the computational complexity. An added advantage in our method is that we are able to get effective classification using a relatively smaller number of principal components. New text for classification is projected into the lower dimensional space and kNN is performed only with the neighbors in each axis based on the principal that vectors that are closer in the original space are closer in the projected space and also along the projected components. Our findings with the standard benchmark dataset Reuters show that the proposed model significantly outperforms kNN and the standard PCA-kNN hybrid algorithms while maintaining similar classification accuracy.

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PDF iconHigh-Performing-Feature-Selection-for-Text-Classification.pdf

2014

Dr. Maneesha V. Ramesh, “Design, Development, and Deployment of a Wireless Sensor Network for Detection of Landslides”, Ad Hoc Networks, vol. 13, pp. 2-18, 2014.[Abstract]

Wireless sensor networks are one of the most promising emerging technologies, providing the opportunity for real-time monitoring of geographical regions (remote and hostile) that are prone to disasters. With a focus on landslide detection, this work reaffirms the capability of wireless sensor networks for disaster mitigation. A complete functional system consisting of 50 geological sensors and 20 wireless sensor nodes was deployed in Idukki, a district in the southwestern region of Kerala State, India, a highly landslide prone area. The wireless sensor network system has, for the past three years, gathered vast amounts of data such as correlated sensor data values on rainfall, moisture, pore pressure and movement, along with other geological, hydrological and soil properties, helping to provide a better understanding of the landslide scenario. Using the wireless sensor networks, system was developed an innovative three level landslide warning system (Early, Intermediate and Imminent). This system has proven its validity by delivering a real warning to the local community during heavy rains in the July 2009 monsoon season. The implementation of this system uses novel data aggregation methods for power optimization in the field deployment. A report on unanticipated challenges that were faced in the field deployment of the wireless sensor networks and the novel solutions devised to overcome them are presented here.

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2014

Raghu Raman, Prof. Nedungadi, P., and Dr. Maneesha V. Ramesh, “Modeling diffusion of tabletop for collaborative learning using interactive science lab simulations”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8337 LNCS, pp. 333-340, 2014.[Abstract]

Within the context of Roger's Diffusion of Innovation theory we propose a pedagogical framework for attributes that can significantly affect student adoption of collaborative learning environment like multi-user, multi-touch tabletop. We investigated the learning outcomes of secondary school students in India collaboratively using OLabs on a tabletop (EG1 = 30) vs. individually using at desktops (EG2 = 92). We analyzed the nature of communication, touch and non-touch gesture actions, position around the tabletop, focus group interviews, and pre and post test scores. Using Bass model the study also accounts for the inter influence of related group of potential adopter teachers who are likely to exert positive influence on students. The results revealed that learning outcomes on tabletop are strongly associated with innovation attributes like Relative Advantage, Compatibility, Ease of Use, Perceived Enjoyment, Perceived usefulness and Teachers support. Overall students expressed much more positive attitude to adopt tabletop technology for learning vs. desktop. We find that the mean group performance gain is significant with collaboration using tabletop and significantly greater than the group using desktops. We also find that the group interactions with the tabletop area significant factor that contributes to the group's average performance gain. However, the total time spent in while using the tabletop is surprisingly not a significant factor in the performance gain. Our findings contribute to the design of new pedagogical models for science learning that maximizes the collaborative learning potential of tabletops. © 2014 Springer International Publishing Switzerland.

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PDF iconmodeling-diffusion-tabletop-collaborative-learning-using-interactive-science-lab-simulations.pdf

2014

Dr. Maneesha V. Ramesh and Rangan, V. P., “Data Reduction and Energy Sustenance in Multisensor Networks for Landslide Monitoring”, IEEE Sensors Journal, vol. 14, pp. 1555-1563, 2014.

2014

Dr. Maneesha V. Ramesh, Rajan, P., and P., D., “Augmenting packet delivery rate in outdoor wireless sensor networks through frequency optimization”, in International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2014 , Hefei, 2014.[Abstract]

The deployment of a wireless sensor network for real-time monitoring applications encounters numerous challenges. In a typical outdoor scenario the propagation of the radio signal can be affected by several factors like the rainfall, foliage, path loss effect and fading effect. These factors can confront dynamic changes in link quality which will affect the packet delivery rates and can result in the failure of the system. This paper presents an optimized frequency selection for any wireless sensor networks which can enhance the packet delivery ratio at any worst environmental scenarios through a simulated framework in QualNet 5.0.2.

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PDF iconAugmenting-Packet-Delivery-Rate-in-Outdoor-Wireless-Sensor-Networks-Through-Frequency-Optimization.pdf

2014

Dr. Maneesha V. Ramesh, Rajan, P., and P., D., “Development of a resilient wireless sensor network for real-time outdoor applications”, in ISTMET 2014 - 1st International Symposium on Technology Management and Emerging Technologies, Proceedings, 2014.[Abstract]

Wireless sensor network deployed for any outdoor applications confronts link variations. The outdoor deployment can be appallingly affected by the precipitous change in the environmental conditions. The effect can vary accordingly with a single hop and a multi hop sensor network. In this paper, we analyze the impact of propagation factors such as shadowing, fading, foliage and rainfall on the link quality, received signal strength and packet reception rate. Then using a packet oriented simulation tool, Qualnet 5.0.2 a simulation framework was created to analyze the aftermath of the aforementioned propagation factors' separate as well as integrated effect on the signal quality. The models developed from the simulation are tested and assessed with the data received from the real time wireless sensor network system for landslide monitoring, deployed at Munnar, India. © 2014 IEEE.

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PDF iconDevelopment-of-a-Resilient-Wireless-Sensor-Network-for-Real-Time-Outdoor-Applications.pdf

2014

D. P., Sonkiya, S., Das, P., Manjusha, V. V., and Dr. Maneesha V. Ramesh, “CAWIS: Context Aware Wireless Irrigation System”, in I4CT 2014 - 1st International Conference on Computer, Communications, and Control Technology, Proceedings, 2014.[Abstract]

Water scarcity is one of the major problems faced by the whole world. In India, this situation is aggravated since agriculture is one of the major economies. As per the statistics of 2009, India has 35.12% of total land under irrigation. The objective of this work is to reduce the water usage in irrigation processes. In this regard, we have proposed a context aware wireless sensor network system for irrigation management. This multi-sensor system will continuously monitor the relevant environmental parameters, hydrological parameters, soil parameters and crop specific parameters to derive the context. These derived contexts will be used for automatic control and adaptation of the irrigation system. This context aware system uses the real-time sensor data to minimize the wastage of water used in the irrigation process. This research has also proposed an innovative design for horizontal angle adjustment of sprinkler nozzle using stepper motor. This remotely controllable sprinkler system can be wirelessly controlled, based on the decisions derived from the multi-sensors deployed in the agriculture field. The system also includes GSM module, which updates the user about the watering decisions being taken and executed on the fields. This paper describes the experimentation results of this system and it clearly shows that the system can effectively reduce water usage compared to the conventional systems. © 2014 IEEE.

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2014

Dr. Maneesha V. Ramesh, Mohan, K. S., and Nadarajan, D., “An In-Body Wireless Communication System for Targeted Drug Delivery: Design and Simulation”, in 2014 International Symposium on Technology Management and Emerging Technologies, Indonesia, 2014.[Abstract]

Statistics show that the figure of new cancer cases and deaths reported each year are increasing considerably. The current situation demands an efficient targeted drug delivery system that enables localized drug administration which can be externally controlled. This paper proposes a remotely triggered targeted drug delivery system that is capable of providing drugs to multiple patients in a periodic basis and works according to the instructions transmitted from the external transmitter module. We present the characteristics and challenges in the propagation of Radio Frequency (RF) signals through different body tissues from the perspective of targeted drug delivery system so that the analysis can lead to the selection of optimum frequency needed for in-body communication. This paper focuses on the design of an implantable drug delivery system, based on the optimum frequency obtained from the simulation results.

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PDF iconAn-In-Body-Wireless-Communication-System-for-Targeted-Drug-Delivery-Design-and-Simulation.pdf

2013

Dr. Maneesha V. Ramesh, Vidya, P. T., and Preeja Pradeep, “Context Aware Wireless Sensor System Integrated with Participatory Sensing for Real Time Road Accident Detection”, Tenth International Conference on Wireless and Optical Communications Networks (WOCN), 2013 . IEEE, Bhopal, pp. 1-5, 2013.[Abstract]

According to World Health Organization, worldwide, every year, more than 12 million people are killed in accidents and more than 500 million people are injured. In this research work, we have designed a context aware wireless sensor system to detect and locate road accidents in real-time. Context acquisition is performed using onboard sensors such as accelerometer, gyroscope, flex sensor and sensors from Smartphone such as accelerometer, microphone, GPS etc. A learning algorithm is proposed to perform context modeling, inference, and context-based action initiation. Participatory sensing techniques are integrated with the proposed system to ensure system enhancement and reduce false alarms.

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PDF iconContext-Aware-Wireless-Sensor-System-Integrated-with-Participatory-Sensing-for-Real-Time-Road-Accident-Detection.pdf

2013

A. R. Devidas, Subeesh, T. S., and Dr. Maneesha V. Ramesh, “Smart architecture for home area electrical grid in India”, in IFIP International Conference on Wireless and Optical Communications Networks, WOCN, Bhopal, Madhya Pradesh, 2013.[Abstract]

One of the major problems, which the Indian electrical grid faces, is the lack of an efficient power management scheme. The proposed communication terminology supports the management of power in the home environment. Real time awareness is provided to the customers regarding extra power consumption. In peak power consumption periods, the consumer can chose to incur the financial charges by using all their home appliances or be supported to operate any appliance they wish by switching off some other lower priority appliances. These smart electrical homes also support authorities to control the extra power requirement during peak hours. © 2013 IEEE.

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PDF iconSmart-Architecture-for-Home-Area-Electrical-Grid-in-India.pdf

2013

R. D. Aryadevi, Anilesh, S., Robert, F., and Dr. Maneesha V. Ramesh, “Smart Device for Optimal Use of Stored Renewable Power”, in Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013, Langkawi, 2013, pp. 732-737.[Abstract]

One of the major challenges faced by Indian power grid system are the excess use of energy and that results in the imbalance in the power generated and power consumed. The utility regulates the amount of consumption by introducing power cuts and time of use billing methods leading to decrease in the comfort level of consumers. A design for a smart control device, for efficient use of stored renewable energy, is proposed in this paper. The proposed system has a number of aspects. Firstly, this proposed system collects and analyses user consumption data. Dependent on the data the system makes a decision on the source of power to be made available: either renewable power from a battery or power from the grid. The system also calculates the amount of power to be stored, in a storage device. In addition, the system is able to make decisions on who gets priority to continue receiving power in the case of power shortage/failure. We simulated some of the basic system capabilities to switch the source of power depending on: the peak time, consumption of user, and the amount of battery power remaining. The results show that dependency of power from the grid is reduced and by setting priority of device, continuity of service is achieved. Our results indicate that power dependency from the grid can be reduced to 70-80% during peak hours and continuity of service can be achieved for critical devices during power failure. © 2013 IEEE.

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PDF iconSmart-Device-for-Optimal-Use-of-Stored-Renewable-Power.pdf

2013

Dr. Maneesha V. Ramesh, Shanmughan, A., and Prabha, R., “Context Aware Adhoc Network for Mitigation of Crowd Disasters”, Ad Hoc Networks, 2013.[Abstract]

Our research works focuses on the design and implementation of a novel ubiquitous multi context-aware mobile phone sensing network for mitigation of crowd disasters using machine-to-machine (M2M) communications. A mobile sensor network system integrated with wireless multimedia sensor networks (WMSNs) was designed for effective prediction of a stampede during crowd disasters. This proposed sensor network consists of mobile devices that are used as crowd monitoring participant nodes that employ light sensors, accelerometers, as well as audio and video sensors to collect the relevant data. Real-time crowd dynamics modeling and real-time activity modeling have been achieved by implementing the algorithms developed for Context Acquisition and multi-context fusion. Dynamic crowd monitoring was achieved by implementing the context based region identification and grouping of participants, distributed crowd behavior estimation, and stampede prediction based on distributed consensus. The implementation of the proposed architecture in Android smartphone provides light-weight, easy to deploy, context aware wireless services for effective crowd disaster mitigation and generation of an in time alert to take measures to avoid the occurrence of a stampede. The system has been tested and illustrated within a group of people for stampede prediction by using empirically collected data. © 2013 Elsevier B.V. All rights reserved.

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PDF iconContext-Aware-Adhoc-Network-for-Mitigation-of-Crowd-Disasters.pdf

2013

Dr. Maneesha V. Ramesh, Rekha, P., Divya, P. L., and Surendran, S., “An Adaptive Energy Management Scheme for Real-time Landslide Detection”, in Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, New York, NY, USA, 2013.

2013

Dr. Maneesha V. Ramesh, Preeja Pradeep, P., D., Devi, R. D. Arya, Rekha, P., Sangeeth, K., and Rayudu, Y. V., “AMRITA Remote Triggered Wireless Sensor Network Laboratory Framework”, Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys). ACM, Italy, 2013.[Abstract]

In this paper, we present a real time remote triggered laboratory which has multi-set, multi-group of wireless sensor network experimental setup which is envisioned to provide a practical experience of designing and implementing wireless sensor networks' algorithms in both indoor and outdoor conditions. The architecture provides a remote code editing mechanism using deluge protocol that offers the user a flexible environment for the experimentation. Central and local authentication agents serve a two level security mechanism which makes the system robust to security threats. The lab is accessible for all the students in the world through internet and it will provide an intuitive web-based interface, where registered users can access the code and do code editing.

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PDF iconPoster-Abstract-AMRITA-Remote-Triggered-Wireless-Sensor-Network-Laboratory-Framework.pdf

2013

A. Remanidevi Devidas, Subeesh, T. S., and Dr. Maneesha V. Ramesh, “Design and Implementation of User Interactive Wireless Smart Home Energy Management System”, in Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on, 2013.[Abstract]

Electricity usage is increasing day by day due to the changing life style of home user and an increase in appliances in the home area network. Our proposed home energy management system for home users will monitor, manage and control the usage of home appliances, by reducing the monthly electricity bill. The proposed wireless architecture consists of an appliance control device called Wireless Enabled Electricity Manager (WEEMAN) installed next to a switch board or every device/appliance in a room. The central node called smart meter runs an algorithm called Availability Based Energy Management algorithm. This algorithm learns about the previous usage patterns of the appliances, collects real time power consumption of appliances from WEEMAN to generate efficient energy load patterns. The highpoint of the algorithm is that it gives an option for the user to set their monthly current bill and pro-actively control the operation of all the appliances according to the amount. We have developed a hardware test bed consisting of WEEMAN connected to some selected appliances and a smart meter to control every WEEMAN.

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PDF iconDesign-and-Implementation-of-User-Interactive-Wireless-Smart-Home-Energy-Management-System.pdf

2013

A. Thekkeyil Kunnath, Nadarajan, D., Mohan, M., and Dr. Maneesha V. Ramesh, “wicard: A context aware wearable wireless sensor for cardiac monitoring”, in Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on, 2013.[Abstract]

Cardiovascular diseases (CVD) are one of the leading causes of death in rural India. Every year more than 3 million Indian citizens die from CVD [1]. The proposed Wearable Wireless Cardiac Monitoring (WiCard) system, aims to bring home state-of-the-art health care for people living in rural Indian villages, where thousands of death occur each year due to lack of experts and facilities. The architecture involves remote monitoring of the ECG by specialized health professionals via a heterogeneous wireless network. This paper discusses the development of a six lead custom hardware for transmitting data to a Smartphone or a compatible device via a Bluetooth. The data received by the mobile devices will be further processed and transmitted to a central repository located in a specialized hospital. The main disadvantage of wearable cardiac monitoring system is the introduction of Motion Induced Artifacts (MIA), which could mimic a cardiac event. A context aware architecture is proposed here to relate physical activity and physiological signals of the user, with the help of accelerometer sensors. The portion of ECG where the MIA has detected will be tagged and sent to the central repository. Classifications of physical movements are done using statistics based classifiers, which are computationally low cost. The results show that the developed algorithm is capable of classifying the user activity with an accuracy of 94%. The developed hardware achieved a power reduction of 10 %.

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PDF iconWicard-A-Context-Aware-Wearable-Wireless-Sensor-For-Cardiac-Monitoring.pdf

2012

Dr. Maneesha V. Ramesh, Anu, T. A., and Thirugnanam, H., “An intelligent decision support system for enhancing an m-health application”, in IFIP International Conference on Wireless and Optical Communications Networks, WOCN, Indore, MP, 2012.[Abstract]

In most of the developing countries, the rural population is denied of the efficient and effective health care facilities. This increases the mortality of people in very young age due to several unknown and untreated diseases. This situation can be improved by adopting the usage of wearable sensors that are capable of continuously monitoring the patients and issue warnings to specialized experienced doctors in hospitals or to the care takers. This approach will bring in better healthcare facility to the people living in the rural world or to the people who are unnecessarily staying in the hospitals just for the purpose of monitoring. This can also help those people who do not want to stay in hospitals. However the efficiency of such a system will depend on the capability of the decision support system integrated with it. Hence this research work aims at the development of a decision support system architecture that can support data collection and processing from multiple wearable wireless sensors. The real-time data received from multiple wearable sensors will be analyzed for a variety of diseases. The results will be stored and send to the required persons via SMS. As an initial step towards the development of decision support system, a prototype system is developed that can be used for the monitoring of cardiac disease such as Ischemia, Myocardial Infarction, Cardiomyopathy, Hypokalaemia, Hyperkalaemia, First degree AV Block and Wolff Parkinson White Syndrome. This work has also developed a new risk based scheduling algorithm to handle the data processing so that the patients with the highest risk are processed first. The work also includes the implementation of several techniques such as decision trees for taking better decisions and for proper classification of diseases. © 2012 IEEE.

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PDF iconAn-Intelligent-Decision-Support-System-for-Enhancing-an-M-Health-Application.pdf

2012

Dr. Maneesha V. Ramesh, Sruthy Anand, and Rekha, P., “A Mobile Software for Health Professionals to Monitor Remote Patients”, in 2012 Ninth International Conference on Wireless and Optical Communications Networks (WOCN), 2012.[Abstract]

introducing wireless technology to monitor patients, in remote areas. A reliable system to continuously monitor the patients in the remote areas has been developed, this software suite consists of two mobile software platforms. The first mobile software platform uses wearable wireless sensors to collect a Patient's ECG and Blood Pressure based on the patient's health condition. This sensed data is transmitted to the Patient's mobile phone where the first level of analysis is performed and an emergency warning may be indicated. If the patient's parameters are at a certain level a message is sent immediately to the Health Professional's mobile phone. The health data is also transmitted it to a central server for storage and further processing. This database can be of great value to health researchers. The second mobile software platform enables health professionals to view patient's health reports on their mobile phones from the central database. The health professional can also assign the risk levels of each patient, from the health professional's mobile phone. Both platforms communicate with the central database using a web server. This research also considers power optimization in the patient's mobile.

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PDF iconA-Mobile-Software-for-Health-Professionals-to-Monitor-Remote-Patients.pdf

2012

A. B. Raj, Dr. Maneesha V. Ramesh, Kulkarni, R. V., and Hemalatha, T., “Security enhancement in wireless sensor networks using machine learning”, in Proceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012, Liverpool, 2012, pp. 1264-1269.[Abstract]

Ensuring the security of wireless sensor networks (WSNs) is vital for monitoring real-time systems. One of the major security flaws experienced by WSNs is denial of service (DoS) which can even lead to the breakdown of the complete system or to wrong decisions being made by the system that can cause adverse results. This research work focuses on two techniques for detecting a DoS attack at a medium access control (MAC) layer. Our research compares and evaluates the performance of two major machine learning techniques: neural network (NN) and support vector machine (SVM). Vanderbilt Prowler is used for simulating the scenarios. In the simulations, normalized critical parameters and their corresponding probabilities of DoS attack are computed in 50 trial runs. These normalized critical parameters and their corresponding probabilities of DoS attack are used as training inputs in NN and SVM approaches. The simulation results clearly show that SVM provides better accuracy compared to NN, 97% accuracy by SVM and 91% accuracy by NN. The simulation also shows that SVM takes much less time to detect and determine the probability of a DoS attack, 0.25 seconds by SVM and 0.75 seconds by NN. All these results clearly show that SVM performs better than NN when used for detecting the probability of DoS attack in WSNs. © 2012 IEEE.

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PDF iconSecurity-Enhancement-in-Wireless-Sensor-Networks-Using-Machine-Learning.pdf

2012

Dr. Maneesha V. Ramesh, Anjitha, S., and Rekha, P., “A Novel Wireless Sensor Network Architecture for Crowd Disaster Mitigation”, in 8th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 , china, 2012.[Abstract]

Disasters aroused due to dynamic movement of large, uncontrollable crowds are ever increasing. The inherent real-time dynamics of crowd need to be tightly monitored and alerted to avoid such disasters. Most of the existing crowd monitoring systems is difficult to deploy, maintain, and dependent on single component failure. This research work proposes novel network architecture based on the key technologies of wireless sensor network and mobile computing for the effective prediction of causes of crowd disaster particularly stampedes in the crowd and thereby alerting the crowd controlling station to take appropriate actions in time. In the current implemented version of the proposed architecture, the smart phones act as wireless sensor nodes to estimate the probability of occurrence of stampede using data fusion and analysis of embedded sensors such as tri-axial accelerometers, gyroscopes, GPS, light sensors etc. The implementation of the proposed architecture in smart phones provides light weight, easy to deploy, context aware wireless services for effective crowd disaster mitigation.

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PDF iconA-Novel-Wireless-Sensor-Network-Architecture-for-Crowd-Disaster-Mitigation.pdf

2012

Dr. Maneesha V. Ramesh, Raj, A. B., and Hemalatha, T., “Wireless sensor network security: Real-time detection and prevention of attacks”, in Proceedings - 4th International Conference on Computational Intelligence and Communication Networks, CICN 2012, Mathura, Uttar Pradesh, 2012, pp. 783-787.[Abstract]

Security is a critical issue in many real-world applications of wireless sensor networks (WSNs). This research focuses on implementing security mechanisms, against two specific types of attack that occur in a network of MICAz motes. These are 'denial-of-service' (DoS) attacks where unnecessary packets are sent causing services to appear unavailable and thus these services are denied to the legitimate sensor nodes, and 'passive information gathering' attacks where an adversary tries to obtain the confidential information stored in wireless sensor nodes. A machine learning technique named neural network (NN) is used to detect DoS attack conducted by an adversary. We compare and evaluate NN with our new method. The results clearly show an improved performance for our new proposed symmetric-key algorithm compared to NN. Lower encryption computational energy cost (8 μJ vs 16 μJ), lower memory requirements (8896 bytes of ROM and 434 bytes of RAM vs 15848 bytes of ROM and 763 bytes of RAM), and less execution time (0.164835 ms vs 0.6208791 ms) show the significant advantages of using symmetric-key algorithm instead of NN for detecting DoS attack. © 2012 IEEE.

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PDF iconWireless-Sensor-Network-Security-Real-Time-Detection-and-Prevention-of-Attacks.pdf

2012

Dr. Maneesha V. Ramesh and Dr. Nirmala Vasudevan, “The Deployment of Deep-earth Sensor Probes for Landslide Detection”, Landslides, vol. 9, pp. 457-474, 2012.[Abstract]

In this paper, we present a state-of-the-art wireless sensor network (WSN) of deep-earth probes (DEPs) that has been deployed to monitor an active landslide in the Western Ghats mountain range of South India. While India has one of the highest incidences of landslides and landslide-induced fatalities-primarily in the Himalayas of North India and in the Western Ghats of Central and South India-our study is perhaps the first comprehensive attempt to instrumentally detect landslides in the Western Ghats. Wireless networks have enabled us, since June 2009, to continuously monitor the deployment site in real time and from anywhere around the globe. There have been a few earlier landslide monitoring WSNs using accelerometers in Emilia Romagna Apennines, Italy; global navigation satellite system (GNSS) sensors to monitor the Hornbergl landslide, Austria; and vibrating wire stress sensors to monitor a slope in China. We improved upon these WSN systems by incorporating a variety of sensors-piezometers, dielectric moisture sensors, strain gauges, tiltmeters, a geophone, and a weather station-and installing some of these sensors as deep as 20 m below the ground surface. We present the salient aspects of the field deployment of DEPs: the selection of sensors and their incorporation in DEPs, the methodology we used in embedding these DEPs into the soil, and a few of the key aspects of the wireless sensor network. We also present a description of the deployment site and some of the results of geotechnical investigations carried out on borehole corings. Finally, we present the more interesting field data collected from the monitoring system during a rainy season in July and August 2009. © 2011 Springer-Verlag.

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PDF iconThe-Deployment-Of-Deep-Earth-Sensor-Probes-For-Landslide-Detection.pdf

2012

Dr. Maneesha V. Ramesh, Ragi, G. R., and Abishek, T. K., “Low Power Intelligent Wearable Cardiac Sensor Using Discrete Wavelet Compression”, in Proceedings of the 2012 International Conference on Advances in Mobile Networks, Communication and Its Applications, MNCApps 2012, Bangalore, Karnataka, 2012, pp. 107-110.[Abstract]

Claiming 17.1 million lives a year, cardiovascular diseases are one of the major causes of death in the world especially in rural India. Conventional ECG monitoring instruments are quite bulky and if we are able to miniaturize them, then they can be used to collect data in scenarios that were not possible with the traditional systems. The system proposed here describes a low cost, low power wearable wireless sensor which can be used for issuing early warnings of cardiac disease to doctors, who are mostly mobile or who are away from the patient's location. The knowledge of early symptoms of a cardiac disease will provide an opportunity for the doctor to deliver real-time instructions to a relative/care taker for giving urgent medical care to the patient. Power optimisation has been achieved by using wavelet based compression technique (DWT) and also different modes of operation based on the risk factor of the patient. An algorithm based on discrete wavelet compression for power optimisation is developed and it is simulated in MATLAB. The results obtained shows that this technique achieves a power reduction of 22%. The proposed system can be used to deliver better healthcare to rural India, where availability of experienced doctors is almost scarce compared to urban India. © 2012 IEEE.

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PDF iconLow-Power-Intelligent-Wearable-Cardiac-Sensor-Using-Discrete-Wavelet-Compression.pdf

2012

Dr. Maneesha V. Ramesh, Sruthy Anand, and Rekha, P., “Mobile Software Platform for Rural Health Enhancement”, in Advances in Mobile Network, Communication and its Applications (MNCAPPS), 2012 International Conference on, 2012, pp. 131-134.[Abstract]

The patients in rural areas lose their lives due to the unavailability of proper healthcare at the right time. This research work aims to develop a system suitable for continuous and real-time monitoring of rural patients to enhance healthcare facilities. The proposed system integrates existing and freely available mobile technology with wearable wireless sensors for patient monitoring. This research work has designed and developed a mobile software platform for continuous and real-time monitoring of rural patients. The prototype platform has been enhanced by integrating power optimizing and risk based data collection and transmitting methodologies. The system also provides an emergency warning message to the doctor's mobile phone. This proposed system collects the patient's health related sensor details in mobile phone, performs a first level analysis of the collected data, and transmits it to a central server for further processing. The system also enables the doctor to receive and view patient's ECG reports to a mobile phone. This paper introduces a dynamic algorithm to increase the battery life of a health monitoring mobile phone.

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PDF iconMobile-Software-Platform-for-Rural-Health-Enhancement.pdf

2012

Dr. Maneesha V. Ramesh, Divya, P. L., Rekha, P., and Kulkarni, R. V., “Performance Enhancement in Distributed Sensor Localization Using Swarm Intelligence”, in Advances in Mobile Network, Communication and its Applications (MNCAPPS), 2012 International Conference on, 2012, pp. 103-106.[Abstract]

Wireless Sensor Networks (WSNs) consist of distributed autonomous devices which sense the environmental or physical conditions cooperatively and pass the information through the network to a base station. Sensor Localization is a fundamental challenge in WSN. Location information of the node is critically important to detect an event or to route the packet via the network. In this paper localization is modeled as a multi dimensional optimization problem. This problem is solved using bio inspired algorithms, because of their quick convergence to quality solutions. Distributive localization is addressed using Particle Swarm Optimization (PSO) and Comprehensive Learning Particle Swarm Optimization (CLPSO). The performances of both algorithms are studied. The accuracy of both algorithms is analyzed using parameters such as number of nodes localized, computational time and localization error. Comparison of both the results is presented. A simulation was conducted for 100 target nodes and 20 beacon nodes, which resulted in CLPSO being 80.478% accurate, and PSO 61.48% accurate. The simulation results show that the PSO based localization is faster and CLPSO is more accurate.

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PDF iconPerformance-Enhancement-in-Distributed-Sensor-Localization-Using-Swarm-Intelligence.pdf

2012

Rajesh Kannan Megalingam, Kaimal, D. M., and Dr. Maneesha V. Ramesh, “Efficient Patient Monitoring for Multiple Patients Using WSN”, in Proceedings of the 2012 International Conference on Advances in Mobile Networks, Communication and Its Applications, MNCApps 2012, Bangalore, Karnataka, 2012, pp. 87-90.[Abstract]

Real motivation of this research work is to develop an efficient system that can monitor multiple patients' health parameters simultaneously and can effectively deliver the data to a patient monitoring system where it is stored permanently. Current traditional health monitoring is accomplished by individual PCs attached to each patient's bed. The multiple parameters that are monitored are blood pressure, temperature, ECG, and EEG. Our research investigates the potential of WSN to reliably, wirelessly collect, send and process these multiple parameters of multiple patients simultaneously, in real-time. This research succeeds in transforming the traditional individual patient monitoring apparatus and its requirements into an apparatus that is capable of reliably monitoring the multiple parameters of up to six patients simultaneously, in real-time. Managing interference and ensuring the accurate delivery of the information to the monitoring system using the most effective wireless communication technique are the challenges taken in to consideration. This is achieved by identifying each patient's monitored parameter using a unique ID and employing a time scheduling scheme during data transmission. The system also alerts the doctor/nurse of some measured value cross threshold limits. A real time data storage mechanism employed here helps to look further into the recorded data by the doctor. This contribution succeeds in indicating where there could be huge savings in power consumption and cost for hospitals. Currently employed systems use a one patient monitoring system per patient which is expensive, whereas this system uses the same resources to monitor up to six patients, with more comfort to the patients and more convenience for the healthcare professionals. © 2012 IEEE.

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PDF iconEfficient-Patient-Monitoring-for-Multiple-Patients-Using-WSN.pdf

2012

Dr. Maneesha V. Ramesh, Anjitha, S., and Rekha, P., “Wireless Sensor Network Based Ubiquitous Multi-Context Modeling and Reasoning”, in CAC‐WSN, Korea: IEEE, 2012, pp. 721–728.[Abstract]

Ubiquitous Computing with Context Awareness is emerging as a significant technology which is capable of supporting a wide variety of real world applications such as health care, environmental monitoring, security, etc. Most of the existing Context aware frameworks developed are single-application oriented. The key focus of our research work is to bring in multiple application support using single context aware framework. The proposed Ubiquitous Multi-Context Model (UMM) contains a new module “Context Categorizer” for spanning multiple real world applications. The designed model support non redundant information capturing and appropriate data sharing among multiple applications, by utilizing the potentials of wireless sensor networks. The implementation of the proposed model considers two relevant applications, health care and crowd behavior estimation, which are gaining attention nowadays.

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PDF iconWireless-Sensor-Network-for-Disaster-Monitoring.pdf

2012

A. S. Ansar, Prabaharan, P., Dr. Maneesha V. Ramesh, and Rekha, P., “DVM based multipath routing in MANET for different scalable and adaptive environment”, in Data Science & Engineering (ICDSE), 2012 International Conference on, 2012, pp. 187-193.[Abstract]

Mobile ad hoc networks [MANET] are typically characterized by high mobility and frequent link failures that result in low throughput and high end-to-end delay. Present approaches to multipath routing make use of pre-computed routes determined during route discovery. All the paths are maintained by means of periodic update packets uncast along each path. In existing method best path is determined and maintained only with signal strength of disjoint paths. Signal strength between nodes is only the mobility prediction factor, which does not address the durability and stability of paths. Residual energy of nodes determines stability of path contains those nodes. Also does not consider the consistency of node through the previous behaves. This paper provides a design and a simulation frame work for measuring a Decision Value metric for mobility prediction of each alternate paths in MANET. Here a Periodic update packets measure Decision Value metric [DVM] and route maintenance is possible by means of the Signal strength between nodes, Residual energy and Consistency of each hop along the alternate paths, helps protocol to select the best scalable paths.

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2012

Dr. Maneesha V. Ramesh, Jacob, A., and Aryadevi, R. D., “Participatory Sensing for Emergency Communication via MANET”, in Proceedings - 2012 International Conference on Data Science and Engineering, ICDSE 2012, Cochin, 2012, pp. 181-186.[Abstract]

Most large-scale disasters are characterized by breakdown of essential communication systems. The failure of telecommunication system reduces the pace of emergency response and relief efforts. The paper is confined mainly on how communication can be carried even when a cellular network is down. The proposed system designs a participatory system for emergency communication. The existing participatory sensing systems have not addressed the issues arising when an area is hit with a disaster. By creating mobile ad hoc network of smart phones, it would be possible to allow messages requesting help to pass between phones until they are intercepted by a node which can directly connect to the cellular network or internet. An algorithm for routing the message in such a network is presented. It also showcases an android application called Android app for Emergency Communication (AEC) which would perform this task. © 2012 IEEE.

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PDF iconParticipatory-Sensing-for-Emergency-Communication-via-MANET.pdf

2012

Dr. Maneesha V. Ramesh, Divya, P. L., Kulkarni, R. V., and Rekha, P., “A Swarm Intelligence Based Distributed Localization Technique For Wireless Sensor Network”, in Proceedings of the International Conference on Advances in Computing, Communications and Informatics, 2012, pp. 367-373.[Abstract]

Wireless sensor network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. Sensor Localization is a fundamental challenge in WSN. In this paper localization is modeled as a multi dimensional optimization problem. A comparison study of energy of processing and transmission in a wireless node is done, main inference made is that transmission process consumes more than processing. An energy efficient distributed localization technique is proposed. Distributive localization is addressed using swarm techniques Particle Swarm Optimization (PSO) and Comprehensive Learning Particle Swarm Optimization (CLPSO) because of their quick convergence to quality solutions. The performances of both algorithms are studied. The accuracy of both algorithms is analyzed using parameters such as number of nodes localized, computational time and localization error. A simulation was conducted for 100 target nodes and 20 beacon nodes, the results show that the PSO based localization is faster and CLPSO is more accurate.

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PDF iconA-Swarm-Intelligence-Based-Distributed-Localization-Technique-For-Wireless-Sensor-Network.pdf

2012

Dr. Maneesha V. Ramesh, Sreedevi, A. Ga, Kandasamy, Ka, and Rangan, P. Vb, “Performance Comparison and Node Failure Assessment of Energy Efficient Two Level Balanced and Progressive Sensor Networks”, in ACM International Conference Proceeding Series, Chennai, 2012, pp. 374-381.[Abstract]

This research is concerned with the design of Tree WSNs. This research proves that configuration plays a vital role in energy optimisation, node failure and network lifetime when designing a Tree WSN. We compare a Progressive Two Level Tree WSN with a Balanced Two Level Tree WSN. Our simulation results prove that a Progressive configuration has two advantages, over a Balanced configuration, which are less computations required to complete each process and more tolerance of node failures. These Progressive configuration advantages both lead to more energy efficiency compared to a Balanced configuration. Therefore, the lifetime of a Progressive Two Level Tree WSN is longer than that of a Balanced Two Level Tree WSN. © 2012 ACM.

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PDF iconPerformance-Comparison-and-Node-Failure-Assessment-of-Energy-Efficient-Two-Level-Balanced-and-Progressive-Sensor-Networks.pdf

2012

Dr. Maneesha V. Ramesh, Jacob, A., and Devidas, A. R., “Enhanced Emergency Communication using Mobile Sensing and MANET”, in ACM International Conference Proceeding Series, Chennai, 2012, pp. 318-324.[Abstract]

Emergency response services are often delayed due to the destruction or non-availability of the communication network. This research work proposes Mobile Adhoc NETwork (MANET) architecture integrated with mobile sensing concepts, for reviving the communication network in disaster hit areas. Mobile sensing in emergency scenarios can very well address issues like victim localization etc. and offer help in providing specific information about the affected area to the responders and control stations. This paper proposes a design that utilizes the existing the mobile devices such as smartphones, laptops, etc. in the field to provide the required communication facility. A new buffer system powered flooding methodology is also proposed to cater to the challenging environment. The mobile adhoc network architecture proposed is implemented and tested using several android based mobile phones. An android application named Android app for Emergency Communication (AEC) was developed and it enabled users to send messages to emergency services as well as their dear ones even when they are in regions with no cellular coverage. © 2012 ACM.

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PDF iconEnhanced-Emergency-Communication-using-Mobile-Sensing-and-MANET.pdf

2012

A. T. Kunnath, Preeja Pradeep, and Dr. Maneesha V. Ramesh, “Locating and Monitoring Emergency Responder using a Wearable Device”, in Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI), Chennai, 2012, pp. 1163-1168.[Abstract]

When a disaster occurs, activities like search, rescue, recovery, and cleanup are carried out by emergency responders. This paper proposes a new framework for supporting the safety and health of emergency responders by locating their position and monitoring their vital signs using a Wireless Wearable Device. As an initial step towards the development of a wireless wearable tracking and monitoring system for emergency responders, this system uses an iterative localization based scheme, which provides the exact position of each emergency responder, and monitors their vital signs like skin temperature and pulse rate. Any change in the vital signs can be easily sensed and tracked, and could be used to provide warnings when critical events are detected. The system could be used to send early warning alerts and for communication between emergency responders. © 2012 ACM.

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PDF iconLocating-and-Monitoring-Emergency-Responder-using-a-Wearable-Device.pdf

2012

T. K. Abishek, Chithra, K. R., and Dr. Maneesha V. Ramesh, “ADEN: Adaptive Energy Efficient Network of Flying Robots Monitoring over Disaster Hit Area”, in Proceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012, Hangzhou, 2012, pp. 306-310.[Abstract]

The post disaster mitigation is the immediate task to be carried out in disaster affected areas in order to reduce the extent of damage and for early rehabilitation and reconstruction. This paper proposes a design framework for an optimal control strategy to efficiently perform surveillance over a wide disaster hit area using a network of flying robots to determine the extent of damage promptly so that the rescue operation can be carried out efficiently. The main focus of the paper is to develop a low cost and an adaptive energy efficient strategy with less power dissipation and delay compared to traditional methods. The routing protocol proposed in the paper efficiently determines the best route by taking account of the residual energy, signal strength and various environmental factors. Simulation results show that the proposed routing scheme achieves much higher performance than the classical routing protocols. © 2012 IEEE.

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PDF iconADEN-Adaptive-Energy-Efficient-Network-of-Flying-Robots-Monitoring-over-Disaster-Hit-Area.pdf

2012

A. T. Kunnath, Madhusoodanan, A., and Dr. Maneesha V. Ramesh, “Locating emergency responders in disaster area using wireless sensor network”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 72 LNICST, pp. 1-10, 2012.[Abstract]

A worldwide increase in number of natural hazards is causing heavy loss of human life and infrastructure. An effective disaster management system is required to reduce the impacts of natural hazards on common life. The first hand responders play a major role in effective and efficient disaster management. Locating and tracking the first hand responders are necessary to organize and manage real-time delivery of medical and food supplies for disaster hit people. This requires effective communication and information processing between various groups of emergency responders in harsh and remote environments. Locating, tracking, and communicating with emergency responders can be achieved by devising a body sensor system for the emergency responders. In phase 1 of this research work, we have developed an enhanced trilateration algorithm for static and mobile wireless sensor nodes. This work discusses an algorithm and its implementation for localization of emergency responders in a disaster hit area. The indoor and outdoor experimentation results are also presented. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

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2012

Dr. Maneesha V. Ramesh and Das, R. N., “A public transport system based sensor network for fake alcohol detection”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 72 LNICST, pp. 137-144, 2012.[Abstract]

Illicit and spurious alcohol consumption is leading to numerous deaths in rural India. The aim of this paper is to reduce the death due to the consumption of spurious alcohol by reducing the production of spurious alcohol. A Vehicular Ad-Hoc Sensor Network, MovingNet, is used to detect the production of spurious alcohol. Multiple sensors capable to detect the presence of methanol content or diazepam in a wide geographical area, is incorporated on the available public transport system that traverse through the rural areas of India, where high rate of spurious alcohol production is observed. The data received from the wireless sensors will be transmitted using the delay tolerant, public transport vehicular ad-hoc network, and analyzed at the central data management center. The results of the data analysis will provide the details of geographic information, the amount of presence of methanol content or diazepam, and the warning degree. This will be sent to the excise department which will help them to locate the position and stop the production of spurious alcohol. Thus the implementation of MovingNet will reduce the production of spurious alcohol and contributes the reduction in hazards due to the consumption of spurious alcohol. MovingNet is a cost effective solution since it uses a very few sensors and the available public transport system for data collection and transmission. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

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2012

Dr. Maneesha V. Ramesh, Prabaharan, P., Shameem, A. A., and Rekha, P., “DVM based Scalable and Adaptive Multipath Routing in MANET For Emergency Rescue Application”, in Wireless and Optical Communications Conference (WOCC), 2012 21st Annual, 2012, pp. 123-129.[Abstract]

Mobile ad hoc networks [MANET] are typically characterized by high mobility and frequent link failures that result in low throughput and high end-to-end delay. Present approaches to multipath routing make use of pre-computed routes determined during route discovery. All the paths are maintained by means of periodic update packets unicast along each path. In existing method best path is determined and maintained only with signal strength of disjoint paths. Signal strength between nodes is only the mobility prediction factor, which does not address the durability and stability of paths. Residual energy of nodes determines stability of path contains those nodes. Also does not consider the consistency of node through the previous behaves. This paper provides a design and a simulation frame work for measuring a Decision Value metric for mobility prediction of each alternate paths in MANET. Here a Periodic update packets measure Decision Value metric [DVM] and route maintenance is possible by means of the Signal strength between nodes, Residual energy and Consistency of each hop along the alternate paths, helps protocol to select the best scalable paths.

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PDF iconDVM-based-Scalable-and-Adaptive-Multipath-Routing-in-MANET-For-Emergency-Rescue-Application-.pdf

2012

Dr. Maneesha V. Ramesh, Jacob, A., and Aryadevi, R. D., “Participatory Sensing Platform to Revive Communication Network in Post-Disaster Scenario”, in 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012, Kaohsiung, 2012, pp. 118-122.[Abstract]

Disaster responses are severely hindered due to the destruction or non-availability of the communication network. This research work proposes mobile adhoc network architecture integrated with participatory sensing concepts, for reviving the communication network in disaster hit areas. The development of such an architecture requires a new routing methodology to cater to the challenging environment. This paper proposes a design that utilizes the existing the mobile devices such as smartphones, laptops, etc. in the field to provide the required communication facility. The mobile adhoc network architecture proposed is implemented and tested using several android based mobile phones. An android application named Android app for Emergency Communication (AEC) was developed and it enabled users to send messages to emergency services as well as their dear ones even when they are in regions with no cellular coverage. © 2012 IEEE.

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PDF iconParticipatory-Sensing-Platform-to-Revive-Communication-Network-in-Post-Disaster-Scenario.pdf

2012

T. K. Abishek, Chithra, K. R., and Dr. Maneesha V. Ramesh, “AER: Adaptive Energy Efficient Routing Protocol For Network of Flying Robots Monitoring over Disaster Hit Area”, in 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012, Kaohsiung, 2012, pp. 166-169.[Abstract]

In large scale disasters like earth quake it is necessary to undertake post disaster mitigation activities abruptly in order to for reduce damage and for early post-disaster rehabilitation and reconstruction. This paper proposes a design framework for an optimal control strategy to efficiently perform surveillance over a wide disaster hit area using a network of flying robots to determine the extent of damage promptly. The main focus of the paper is to develop an adaptive and energy efficient routing strategy with less power dissipation and delay compared to traditional routing algorithms. This protocol efficiently determines the best route by taking account of the residual energy, signal strength and various environmental factors. Simulation results show that the proposed routing scheme achieves much higher performance than the classical routing protocols. © 2012 IEEE.

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PDF iconAER-Adaptive-Energy-Efficient-Routing-Protocol-For-Network-of-Flying-Robots-Monitoring-over-Disaster-Hit-Area.pdf

2012

Dr. Maneesha V. Ramesh, Sreedevi, A. G., Kamalanathan, K., and Rangan, P. V., “Energy Comparison of Balanced and Progressive Sensor Networks”, in 2012 21st Annual Wireless and Optical Communications Conference, WOCC 2012, Kaohsiung, 2012, pp. 93-98.[Abstract]

Wireless Sensor Networks are deployed in almost all areas as they are one of the efficient solutions for monitoring, detecting and providing early warnings. Energy minimization being one of the main challenges in WSNs, we present four different topology control algorithms which will compute the aggregated data in a distributed way, addressing this issue. Each algorithm optimizes power to different levels, by reducing the number of computations and transmissions. The discussed methods include two level and multi levels of balanced and progressive network and its analysis of energy savings. Among the four networks, multi-level progressive is found to be better for small number of sensor nodes (N<500), at the same time, multi-level balanced proved its efficiency when the number of sensors are large. The comparisons of four networks are discussed for atmost 4000 sensor nodes in a WSN. © 2012 IEEE.

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PDF iconEnergy-Comparison-of-Balanced-and-Progressive-Sensor-Networks.pdf

2012

A. Thekkeyil Kunnath, Preeja Pradeep, and Dr. Maneesha V. Ramesh, “ER-Track: A Wireless Device for Tracking and Monitoring Emergency Responders”, Procedia Computer Science, vol. 10, pp. 1080–1085, 2012.[Abstract]

In this paper we present a wireless wearable body area system for locating, tracking and monitoring emergency responders in harsh and remote environments. Tracking an emergency responder and monitoring their vital signs using various medical sensors is important in supporting the safety of the emergency responder. This work is the preliminary step towards the development of a collaborative real-time tracking and monitoring system for emergency responders. In this paper, we propose a design of a wrist worn wireless wearable body sensor device for localizing, tracking and monitoring an emergency responder. Any change in the physiological parameters like blood oxygen level, blood pressure and pulse rate of the emergency responder can be easily sensed and tracked, and could be used to provide a warning when a critical event is detected. This system uses an efficient iterative localization scheme for locating the emergency responder. The system could be used to send early warning alerts, route proper medical supplies to the area required, and for communication between the responders.

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PDF iconER-Track-A-Wireless-Device-for-Tracking-and-Monitoring.pdf

2012

K. A. Menon, Dr. Maneesha V. Ramesh, and P., D., “Wireless Sensor Network for River Water Quality Monitoring in India”, in Third International Conference on Computing Communication & Networking Technologies (ICCCNT), 2012 , Coimbatore, 2012.[Abstract]

Water is an important natural resource which needs constant quality monitoring for ensuring its safe use. This paper introduces a river water quality monitoring system based on wireless sensor network which helps in continuous and remote monitoring of the water quality data in India. The wireless sensor node in the system is designed for monitoring the pH of water, which is one of the main parameters that affect the quality of water. The proposed sensor node design mainly comprises of a signal conditioning module, processing module, wireless communication module and the power module. The sensed pH value will be wirelessly transmitted to the base station using Zigbee communication after the required signal conditioning and processing techniques. The circuit for the sensor node is designed, simulated and the hardware prototype is developed using the appropriate components which minimize the power requirement of the system and provides a cost effective platform for monitoring water quality.

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PDF iconWireless-Sensor-Network-for-River-Water-Quality-Monitoring-in-India.pdf

2012

K. Kandasamy, Sreedevi, A. G., P Rangan, V., and Dr. Maneesha V. Ramesh, “Nose Failures, Data Aggregation Delay and its Impact on Power Optimization in Balanced Sensor Networks”, International Journal of Wireless & Mobile Networks, vol. 4, p. 205, 2012.[Abstract]

Wireless Sensor Networks (WSNs) have already emerged as an efficient method to collect data from harsh and human-not-reachable environments. They are employed in many delay-constrained applications where the data collected from the network is analyzed to give timely critical warnings. Such systems need to complete data aggregation and analysis with in minimum time. This research paper is concerned with the design of Multi Level and Two Level Balanced Tree WSN. This research proves that configuration plays a vital role in data aggregation delay, node failure, power optimization and network ifetime when designing a Tree WSN. This paper deals with a method to calculate the overall time for data aggregation in hierarchical network like balanced tree. Our simulation results analyze balanced multi level tree WSN and balanced two level tree WSN on number of computations needed to complete each process and tolerance of node failures. These Balanced configuration leads to less data aggregation delay. The study also deals with an interesting relation between node failure and data aggregation delay in balanced multi level tree WSN.

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2012

B. Mohan and Dr. Maneesha V. Ramesh, “Optimal DG placement under Standard Market Design using GA”, in Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on, 2012.[Abstract]

This paper presents a novel methodology for optimal placement of Distributed Generation (DG) in an Optimal Power Flow (OPF) based wholesale electricity market. DG is placed in real time wholesale electricity market. The problem of optimal placement including size is formulated for two different objectives, namely, fuel cost reduction and to provide voltage stability at distribution level. DG reduces the cost of electricity to the costumer, relieve network congestion and provide environmental friendly energy close to load centers. The candidate locations for DG placement are identified on the basis of locational marginal price (LMP). OPF is widely used for both the operation and planning of a power system. The key feature of standardization of restructured power market like Standard Market Design (SMD) is the LMP scheme. OPF problem by placing DG in Deregulated Environment is solved using Genetic Algorithm (GA). The proposed methodology is tested with IEEE 30 bus test system.

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PDF iconOptimal-DG-placement-under-Standard-Market-Design-using-GA.pdf

2012

T. K. Abishek, Hariharan, S., and Dr. Maneesha V. Ramesh, “Signal Processing Algorithm for Wireless ECG Monitoring Systems”, 2012.[Abstract]

The Electrocardiogram (ECG) is a graphical recording of the electrical signals generated by the heart. The signals are generated when the cardiac muscles depolarize in response to electrical impulses generated by the pacemaker. In this work, we propose an efficient method to monitor and classify the ECG signals. The initial task carried out was to eliminate the noise, which involved extracting the required cardiac components by rejecting the background noise. The second task was to perform R peak detection, which was achieved by using the Windowed Short Time Fourier Transform (STFT). The Heart Rate Variability (HRV) was also found by calculating the difference between two simultaneous R-Peaks. The simulations were carried out in the MATLAB environment. The experiments were carried out using data from the MIT-BIH Database. This paper proposes an algorithm to monitor cardiac atrial fibrillation, which is an essential precursor to myocardial infarction.

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PDF iconSignal-Processing-Algorithm-for-Wireless-ECG-Monitoring-Systems.pdf

2012

G. Babu and Dr. Maneesha V. Ramesh, “Secondary Arc Extinction of Single Pole Auto-reclosing on EHV Transmission Lines with Shunt Compensation Reactors”, in 2012 International Conference on Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012.[Abstract]

To study the effect of line compensating reactors on EHV lines in successfully clearing the transitory single line to ground (SLG) faults by SPAR (Single pole auto re-closer). The main purpose of this project is to obtain and validate a robust model of the primary and secondary arcs in a transmission line to clearing single line to ground faults by means of single phase reclosing was investigated. Neutral reactor for the line connected shunt reactor banks were optimizing sustained values of secondary arc fault current and post fault recovery voltage. This paper addresses shunt compensation as it affects single phase reclosing procedure. The work will illustrate transient study of single phase reclosing of the 400kv Transmission system. This project mainly concentrates on the application of Shunt Reactors for secondary arc extinction in high voltage lines after single-pole switching is investigated. The study has used PSCAD (EMTP) simulation to determine the behaviour of the system response to switching operation. The successful single phase reclosing is investigated by conducting fault clearing and reclosing cases utilizing dynamic arc model. The PSCAD software tool is using for analyzing secondary arc extinction phenomenon in EHV lines.

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2011

Dr. Maneesha V. Ramesh, “Message from the Programe Chair”, in ACWR 2011 - Proceedings of the International Conference on Wireless Technologies for Humanitarian Relief, Amritapuri, 2011.

2011

A. R. Devidas and Dr. Maneesha V. Ramesh, “Smart Distribution Electrical Grid for India”, in ACWR 2011 - Proceedings of the International Conference on Wireless Technologies for Humanitarian Relief, Amritapuri, 2011, pp. 541-542.[Abstract]

The smart grid is a new technology that adds efficiency to the electrical grid system. The smart distribution grid architecture proposed in this research work solves major problems faced by the Indian electrical grid such as wastage of energy by the careless usage of consumers, poor power theft and line fault detection method, and manual billing system. The intelligent devices that are placed in different parts of the distribution electrical grid together with the intelligent controlling system make the electrical grid smart.

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PDF iconSmart-Distribution-Electrical-Grid-for-India.pdf

2011

Dr. Maneesha V. Ramesh and Das, R. N., “A Public Transport System Based Sensor Network for Fake Alcohol Detection”, in Proceedings of the World Congress on Engineering 2011, WCE 2011, London, 2011, vol. 2, pp. 1792-1795.[Abstract]

Illicit and spurious alcohol consumption is leading to numerous deaths in rural India. The aim of this paper is to reduce the death due to the consumption of spurious alcohol by reducing the production of spurious alcohol. A Vehicular Ad- Hoc Sensor Network, MovingNet, is used to detect the production of spurious alcohol. Multiple sensors capable to detect the presence of methanol content or diazepam in a wide geographical area, is incorporated on the available public transport system that traverse through the rural areas of India, where high rate of spurious alcohol production is observed. The data received from the wireless sensors will be transmitted using the delay tolerant, public transport vehicular ad-hoc network, and analyzed at the central data management center. The results of the data analysis will provide the details of geographic information, the amount of presence of methanol content or diazepam, and the warning degree. This will be sent to the excise department which will help them to locate the position and stop the production of spurious alcohol. Thus the implementation of MovingNet will reduce the production of spurious alcohol and contributes the reduction in hazards due to the consumption of spurious alcohol. MovingNet is a cost effective solution since it uses a very few sensors and the available public transport system for data collection and transmission.

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PDF iconA-Public-Transport-System-Based-Sensor-Network-for-Fake-Alcohol-Detection.pdf

2011

Dr. Maneesha V. Ramesh, Nair, A. A., and Menon, K. A. U., “WISION-Wireless Interface System for Interpretation of Ocular symbols from People with Neuromuscular Diseases”, in 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011, Wuhan, 2011.[Abstract]

This paper proposes the design of a system that enables the severely disabled to communicate using their EOG, EMG and EEG signals. The typical approach is to modify the end devices to interpret these signals and to function accordingly [2-5]. But our system proposes an Interpreter System within which these signals are decoded and interfaced with the existing devices. The advantage is that the end devices need not be changed to suit the user, because the logic required for interpretation is within the Interpreter System. Therefore it acts as an interface through which the user can control multiple devices at the same time. Acquisition systems can capture and process EOG, EMG and EEG signals and transmit them to the Interpreter System via the Bluetooth Low Energy module. A communication language using EOG works in combination with EEG and EMG to enable communication. This language will help the users to interface with multiple devices with a limited number of symbols. © 2011 IEEE.

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PDF iconWISION-Wireless-Interface-System-for-Interpretation-of-Ocular-symbols-from-People-with-Neuromuscular-Diseases.pdf

2011

Dr. Maneesha V. Ramesh, H. Krishnan, A., and Abishek, T. K., “C-VIEW: Collaborative VIEW by Optimally Positioned Wireless Integrated Flying Robots”, in 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011, Wuhan, 2011.[Abstract]

This paper describes a system that performs collaborative real-time sensing and monitoring of a disaster-hit area, using multiple Wireless Integrated Flying Robots (WiFR). These multiple WiFRs are designed to sense different environmental parameters; record images of the disaster hit area, and transmit these images to the command and control station (CCS). Each WiFR in the system has the capability to monitor unique regions, locate its position in real-time, and navigate to other regions according to real-time commands from the CCS. WiFRs are also integrated with collaborative sensing, processing, analyzing, and communication techniques. The efficient working of this multiple WiFR system requires the determination of the location of each of WiFR, the optimum number of WiFRs required for monitoring the entire disaster area, the paths with which minimum data packet loss and delay can be achieved, etc. Decision-making is dependent on various environmental propagation effects. During adverse environmental conditions, the WiFRs will use collaborative sensing as well as processing and analyzing techniques to determine the adaptable routes, thus avoiding the effects of wireless propagation and minimizing delay. Considering the capabilities of multiple WiFRs, this paper proposes an optimal positioning strategy of WiFRs that will effectively minimize the communication delay with respect to the dynamic propagation effects. An effective approach is also developed for determining the optimal density of WiFRs, to achieve guaranteed degrees of coverage. These results will provide important aspects necessary for effective disaster management. © 2011 IEEE.

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PDF iconC-VIEW-Collaborative-VIEW-by-Optimally.pdf

2011

Dr. Maneesha V. Ramesh, Nair, A. K., and Kunnath, A. T., “Real-Time Automated Multiplexed Sensor System for Driver Drowsiness Detection”, in 7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011, Wuhan, 2011.[Abstract]

Increased stress level in working environments, reduced sleep, variation in sleep pattern and time due to the adaptation of global time zone in working environments, increase in alcohol consumption, larger distance travel using high power automobiles, etc., contributes to increased level of driver drowsiness and fatigue. In the past decade, steep increase in accidents and loss of life was experienced mainly due to the increase in the driver drowsiness and fatigue. This research work aims in developing an intelligent wireless sensor network to monitor, and detect driver drowsiness in real-time. This real-time system consists of multiple non-obstructive sensors which continuously monitor the driver's physiological parameters and disseminate the first level alarm to the driver and the passengers. The second level alarm will be disseminated, along with the vehicle identification number and the real-time location coordinates of the driver, to the nearby police station or the rescue teams using the available wireless ah-hoc network, if the driver's state does not change even after the first level alarm. This research work contributed to the design and development of system architecture for real-time monitoring and detection of driver drowsiness. This work also integrated effective real-time sensor fusion techniques for monitoring the heart rate collected from the driver. One of the novel ideas in this research work is the development of multiple sensors embedded in the steering wheel capable to measure the heart rate and dynamically alert the driver or the rescue team about the driver drowsiness, to avert accidents. © 2011 IEEE.

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PDF iconReal-Time-Automated-Multiplexed-Sensor-System.pdf

2011

Dr. Maneesha V. Ramesh and Nisha, M. S., “Design of Medium Independent Handover based Emergency Communication scheme Using Vehicular Technology”, in 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, Xi'an, 2011, pp. 355-358.[Abstract]

After a large-scale disaster in an area, the existing communication systems may not be available either due to physical damage or system overload. The loss of the communication systems and information networks makes the rescue and relief operation extremely difficult. The proposed system designs a heterogeneous network for emergency communication. The proposed system uses communication equipment such as smart phones with Wi-Fi and GSM capabilities, and laptops with Wi-Fi. Soon after a disaster happens, it is proposed that Access Points (AP) can be deployed in the disaster area. As emergency vehicles generally already contain a base station they can be used as the APs. The system uses satellite communication to carry the data outside the disaster area. If cellular coverage of an area is lost, i.e. in a disaster, this system can move communications to an available network ensuring continual communication without disruption. © 2011 IEEE.

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PDF iconDesign-of-Medium-Independent-Handover-based-Emergency-Communication.pdf

2011

Dr. Maneesha V. Ramesh and Nisha, M. S., “Design of Optimization Algorithm for WLAN AP Selection during Emergency Situations”, in 2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, Xi'an, 2011, pp. 340-344.[Abstract]

WLAN is now widely used for emergency purposes because of its fast deployment capability. Efficient and intelligent arrangement and selection of access points (AP) are very crucial in emergency situations. Coverage and capacity are two central problems faced when APs are placed in a disaster scene. The paper proposes a power efficient algorithm for AP selection in emergency situations. The current AP selection algorithm only considers received signal strength, and this algorithm arise problems like overloading in APs, congestion and power wastage in networks. But the proposed Dynamic Load Balancing Fairness Algorithm (DLBFA) overcomes all these problems by using a new selection score, obtained by optimizing channel throughput and voice quality. Apart of this score the number of nodes connected to an AP and RSSI are also considered. The main advantage of DLBA is that it can work on both data and voice applications. © 2011 IEEE.

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PDF iconDesign-of-Optimization-Algorithm-for-WLAN-AP-Selection-during-Emergency-Situations.pdf

2011

J. Freeman, Omanan, V., and Dr. Maneesha V. Ramesh, “Wireless Integrated Robots for Effective Search and Guidance of Rescue Teams”, in Wireless and Optical Communications Networks (WOCN), 2011 Eighth International Conference on, Paris, 2011.[Abstract]

Over the past decade, natural and human-induced disasters have claimed millions of lives. Intelligent robots equipped with advanced sensors and integrating wireless networks are attracting attention from researchers and rescuers all around the world. This paper is an application of the Wireless Sensor Network to disaster management. The wireless sensor network consists of two fixed nodes and moving nodes with the robot and rescue teams. The search robot autonomously navigates, searches for living human beings, collects data from the air quality control module, localizes it with respect to the fixed nodes and sends the data. The rescue team can wirelessly receive the data in real time and locate the robot precisely.

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2011

A. T. Kunnath and Dr. Maneesha V. Ramesh, “Wireless Geopbone Network for Remote Monitoring and Detection of Landslides”, in ICCSP 2011 - 2011 International Conference on Communications and Signal Processing, Kerala, 2011, pp. 122-125.[Abstract]

Recent years have shown an alarmous increase in rain fall induced landslides. This has facilitated the need for having a monitoring system to predict the landslides which could eventually reduce the loss of human life. We have developed and deployed a Wireless Sensor Network to monitor rainfall induced landslide, in Munnar, South India. A successful landslide warning was issued in June 2009 using this system. The system is being enhanced by incorporating a Wireless Geophone Network to locate the initiation of landslide. The paper discusses an algorithm that was developed to analyze the geophone data and automatically detect the landslide signal. A novel method to localize the landslide initiation point is detailed. The algorithm is based on the time delay inherent in the transmission of waves through the surface of the earth. The approach detailed here does not require additional energy since the geophones are self excitatory. The error rate of the approach is much less when compared to the other localization methods like RSSI. The proposed algorithm is being tested and validated, in the landslide laboratory set up at our university. © 2011 IEEE.

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PDF iconWireless-Geopbone-Network-for-Remote-Monitoring.pdf

2011

Dr. Maneesha V. Ramesh and Nisha, M. S., “Design of Medium Independent Handover based Emergency Communication scheme Using Vehicular Technology”, in The 2nd International Conference on Data Storage and Data Engineering (DSDE 2011), Xi'an, China, 2011.[Abstract]

After a large-scale disaster in an area, the existing communication systems may not be available either due to physical damage or system overload. The loss of the communication systems and information networks makes the rescue and relief operation extremely difficult. The proposed system designs a heterogeneous network for emergency communication. The proposed system uses communication equipment such as smart phones with Wi-Fi and GSM capabilities, and laptops with Wi-Fi. Soon after a disaster happens, it is proposed that Access Points (AP) can be deployed in the disaster area. As emergency vehicles generally already contain a base station they can be used as the APs. The system uses satellite communication to carry the data outside the disaster area. If cellular coverage of an area is lost, i.e. in a disaster, this system can move communications to an available network ensuring continual communication without disruption. © 2011 IEEE.

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PDF iconDesign-of-Medium-Independent-Handover-based-Emergency-Communication.pdf

2011

Dr. Maneesha V. Ramesh and Nisha, M. S., “Design of Optimisation Algorithm for WLAN AP Selection duringEmergency Situations”, in The 2nd International Conference on Data Storage and Data Engineering (DSDE 2011) , 2011.[Abstract]

WLAN is now widely used for emergency purposes because of its fast deployment capability. Efficient and intelligent arrangement and selection of access points (AP) are very crucial in emergency situations. Coverage and capacity are two central problems faced when APs are placed in a disaster scene. The paper proposes a power efficient algorithm for AP selection in emergency situations. The current AP selection algorithm only considers received signal strength, and this algorithm arise problems like overloading in APs, congestion and power wastage in networks. But the proposed Dynamic Load Balancing Fairness Algorithm (DLBFA) overcomes all these problems by using a new selection score, obtained by optimizing channel throughput and voice quality. Apart of this score the number of nodes connected to an AP and RSSI are also considered. The main advantage of DLBA is that it can work on both data and voice applications. © 2011 IEEE.

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PDF iconDesign-of-Optimization-Algorithm-for-WLAN-AP-Selection-during-Emergency-Situations.pdf

2011

Dr. Maneesha V. Ramesh, Nair, A. K., and Kunnathu, A. Thekkeyil, “Intelligent Steering Wheel Sensor Network for Real-Time Monitoring and Detection of Driver Drowsiness”, International Journal of Computer Science and Security (IJCSS), vol. 1, p. 1, 2011.

2011

Dr. Maneesha V. Ramesh, Menon, K. A. Unnikrishn, and Jose, D., “SleepGaze: A Wireless System for Monitoring and Detection of Sleep Disorders”. 2011.[Abstract]

Sleep disorders are exponentially growing with current statistics as approximately 1 in 6 or 40 million people in USA. This alarming state has to be controlled in its early stage, to achieve physical and mental wellbeing of human beings, contributing to the peace and welfare of whole world. Current sleep monitoring facilities uses dedicated sleep labs at the hospital. However these tests results are error prone since the patient sleep gets disturbed due to the numerous wired sensors attached to their body, new ambience, reduced privacy, and long waiting duration due to the non availability of sleep labs. This research aims to develop a pervasive monitoring system that overcomes these drawbacks and provides the capability to monitor and detect sleep disorders in any place comfortable to the patient such as patients home, hospitals etc thereby collecting the best signals. The real-time data received from the system will be analyzed to detect sleep disorders remotely and issue the alerts to the clinicians. In the first phase of this research, we have designed and implemented the complete system using EMG sensor alone. The initial results are incorporated in this paper

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2010

S. Simi and Dr. Maneesha V. Ramesh, “Wireless sensor network for remote monitoring and detection of explosives (W-ReMADE)”, in Proceedings of the International Workshop on Semantic Sensor Web, SSW 2010, in Conjunction with IC3K 2010, Valencia, 2010, pp. 60-71.[Abstract]

Recent years have shown a worldwide increase in terrorist bombings. Continuous monitoring for the presence of explosives in public places can improve security of the public and infrastructure. The objective of this research work is to reduce, control, and warn about the forthcoming terrorist activity by precise and quick detection of explosives. This paper proposes a wide area monitoring system using a multi phase wireless sensor network design. WReMADE uses multiple wireless sensor nodes integrated with different types of sensors to identify the explosives. Based on diverse orthogonal techniques, the system collects data from the sensing nodes, dynamically aggregates the data and forward to the sink node for further analysis. A mobile node has been introduced to further confirm the suspected objects, thus offering an enhanced target tracking mechanism that reduces number of false alarms. W-ReMADE provides an effective warning mechanism for security threats in public places so that immediate action can be taken against bomb threats. More »»

2010

Jisha R. C., Dr. Maneesha V. Ramesh, and Lekshmi, G. S., “Intruder Tracking Using Wireless Sensor Network”, in 2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010, Coimbatore, 2010, pp. 389-393.[Abstract]

Nowadays, almost all the countries are facing threats from terrorists and intruders from their border areas, challenging the internal security of the country in those areas. So many civilian and military applications require locating an intruder in a secured area. Target tracking, data processing and analysis play a major role in this type of applications. The proposed system is to develop a centralized computer application that needs to identify moving objects in a specific area using sensors. The system will be basically designed to detect human intruders. The objective is to design and implement an object tracking system using a wireless sensor network. This application is able to detect and track objects, and report direction and speed of the intruder to a central base station. The human intruder is detected using a passive infrared (PIR) sensor. The sensor is connected to a MICAz sensor node. The PIR sensor is able to detect the humans and provide information about the direction of the movement. The gathered information from the sensor network is to be given to the base station for processing. The proposed system provides an environment for easy deployment and which does not require any existing infrastructure or constant monitoring by humans. © 2010 IEEE.

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PDF iconIntruder-Tracking-Using-Wireless-Sensor-Network.pdf

2010

S. Simi and Dr. Maneesha V. Ramesh, “Real-time Monitoring of Explosives Using Wireless Sensor Networks”, in Proceedings of the 1st Amrita ACM-W Celebration of Women in Computing in India, A2CWiC'10, Coimbatore, 2010.[Abstract]

An increase in bomb attacks in present era has boosted the need to have a continuous monitoring of explosives in public places. This paper proposes an effective warning mechanism for security threats in public places such as railway stations so that security corps can take immediate action against bomb threats. Using a multi phase wireless sensor network, the system will provide a technique to reduce, control, and warn about the forthcoming terrorist activity by accurate and fast detection of explosives. Multiple wireless sensor nodes integrated with different types of sensors is used to identify the chemical composition of explosives. Based on different orthogonal techniques, the system collect data from the sensing nodes dynamically aggregate the data and forward to the sink node for further analysis. A mobile node has been introduced to confirm the suspected objects, thus contributing an enhanced target tracking mechanism that reduces number of false alarms. © 2010 ACM.

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PDF iconReal-time-Monitoring-of-Explosives-Using-Wireless-Sensor.pdf

2010

A. T. Kunnath and Dr. Maneesha V. Ramesh, “Integrating Geophone Network to Real-Time Wireless Sensor Network System for Landslide Detection”, in Proceedings - 1st International Conference on Sensor Device Technologies and Applications, SENSORDEVICES 2010, Venice, 2010, pp. 167-171.[Abstract]

Recent years has show an increase in the occurrence of natural disasters, threatening human life and property. Early warning systems could help in reducing the impact of such disasters. We have designed and deployed a real-time wireless sensor network for landslide detection, in one of the landslide prone areas in India. The current wireless sensor network for landslide detection system is real-time, 24/7 operational and uses heterogeneous wireless networks for reliable data delivery. This research work proposes to incorporate wireless geophones to detect and analyze ground vibrations that may arise before, during and after the landslide. A nested wireless geophone methodology is designed to collect and analyze the relevant signals. The proposed system incorporates a novel signal processing algorithm, to detect landslides. Pilot deployment has been performed with one axis geophone, and the new design of nested 3C geophone will be implemented and validated in our existing system. The newly developed Wireless Geophone Network captures the slope instability vibrations. This data is analyzed and used for disseminating landslide warnings. © 2010 IEEE.

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PDF iconIntegrating-Geophone-Network-to-Real-Time-Wireless-Sensor-Network-System-for-Landslide-Detection.pdf

2010

A. T. Kunnath, Dr. Maneesha V. Ramesh, and Selvan, V., “Signal Processing for Wireless Geophone Network to detect landslides”, in ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics, Kuala Lumpur, 2010, pp. 69-73.[Abstract]

Rain fall induced landslides are a common cause of damages to life and property in the Western Ghats region in south India. Work have been in progress to develop a monitoring system to predict the landslides to reduce the loss of human life. We have developed and deployed a Wireless Sensor Network to monitor rainfall induced landslide, in Munnar, South India. A successful landslide warning was issued in June 2009 using this system. This paper discusses the enhancement of the existing system by incorporating a Wireless Geophone Network to locate the initiation of landslide, and the direction and velocity of motion of the slide. A nested geophone methodology and triangulation method was designed to collect and analyze the relevant signals. A novel signal processing algorithm was developed to analyze the geophone data and automatically detect the landslide signal. A feedback method used to reduce the traffic congestion in the network is also detailed here. The design and developed system was tested and validated, in the landslide laboratory set up at our university, for which results are shown in this paper. © 2010 IEEE.

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PDF iconSignal-Processing-for-Wireless-Geophone-Network-to-Detect-Landslides.pdf

2010

A. R. Devidas and Dr. Maneesha V. Ramesh, “Wireless Smart Grid Design for Monitoring and Optimizing Electric Transmission in India”, in Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010, Venice, Mestre, 2010, pp. 637-640.[Abstract]

Electricity losses in India during transmission and distribution are extremely high and vary between 30 to 45%. Wireless network based architecture is proposed in this paper, for monitoring and optimizing the electric transmission and distribution system in India. The system consists of multiple smart wireless transformer sensor node, smart controlling station, smart transmission line sensor node, and smart wireless consumer sensor node. The proposed software module also incorporates different data aggregation algorithms needed for the different pathways of the electricity distribution system. This design incorporates effective solutions for multiple problems faced by India's electricity distribution system such as varying voltage levels experienced due to the varying electrical consumption, power theft, manual billing system, and transmission line fault. The proposed architecture is designed for single phase electricity distribution system, and this design can be implemented for three phase system of electricity distribution with minor modifications. The implementation of this system will save large amount of electricity, and thereby electricity will be available for more number of consumers than earlier, in a highly populated country such as India. The proposed smart grid architecture developed for Indian scenario, delivers continuous real-time monitoring of energy utilization, efficient energy consumption, minimum energy loss, power theft detection, line fault detection, and automated billing. © 2010 IEEE.

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PDF iconWireless-Smart-Grid-Design-for-Monitoring-and-Optimizing.pdf

2010

K. J. Kappiarukudil and Dr. Maneesha V. Ramesh, “Real-Time Monitoring and Detection of ‘‘Heart Attack’’ Using Wireless Sensor Networks”, in Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010, Venice, Mestre, 2010, pp. 632-636.[Abstract]

The main purpose of this research work is to develop a wireless sensor network system that can continuously monitor and detect cardiovascular disease experienced in patients at remote areas. A wearable wireless sensor system (WWSS) is designed to continuously capture and transmit the ECG signals to the patient's mobile phone. The fastest alert will be issued to doctors, relatives, and hospitals, using the proposed data processing algorithm implemented in the patients mobile phone. The complete data from WWSS will also be transmitted to a central station, which provides a service to the doctor to view his patient's record and provide his prescription remotely, on his request. A heterogeneous wireless network design is also proposed for the continuous transmission from WWSS to a Central Data Center (CDC). The proposed system is integrated with a dynamic data collection algorithm that collects the ECG signals at regular intervals, according to the health risk perceived in each patient. Employment of this system will contribute in reducing heart diseases, leading to death of a patient, and also act as an effective health care service to patients in rural area. This continuous monitoring system will provide effective, efficient, and fast health care service to patients at risk, even if the doctor, relatives are not near the patient and also during the non availability of the cellular network. © 2010 IEEE.

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PDF iconReal-Time-Monitoring-and-Detection-of-‘‘Heart-Attack’’-Using.pdf

2010

S. Kumar and Dr. Maneesha V. Ramesh, “Lightweight Management Framework (LMF) for a heterogeneous wireless network for landslide detection”, Communications in Computer and Information Science, vol. 90 CCIS, pp. 457-471, 2010.[Abstract]

Wireless Sensor Networks (WSN) are networks of low cost nodes with minimal power consumption, processing capabilities and maintenance, that can be used for wide area environmental monitoring. This paper discusses the main innovations, challenges, solutions and deployment experiences in designing a Lightweight Management Framework (LMF) for a real-time, 24/7 operational, heterogeneous network. The network must reliably deliver data continuously from a set of deep earth probe sensors in a remote hilly rainforest area to a data management, analysis, and visualization center at the University campus hundreds of miles away. This framework provides the ability to incorporate different heterogeneous networks such as 802.15.4, 802.11b/g, VSAT, GPRS, GSM, Internet and also proprietary wireless sensor network and hardware architectures. It also handles various network failures, data corruption, packet loss, and congestion problems. The data is analyzed to determine the factor of safety of the landslide prone area using landslide simulation software, stream data in real-time to the internet, and give automatic warnings. The architecture has been implemented in a real-time wireless sensor network deployed in the Western Ghats of Kerala, India to detect landslides. The architecture is operational in the deployment site since February 2008 and was used to issue landslide warnings during the July 2009 monsoon. © 2010 Springer-Verlag Berlin Heidelberg. More »»

2010

Dr. Maneesha V. Ramesh and Sangeeth, K., “Lightweight Management Framework for a Heterogeneous Wireless Network for Landslide Detection”, in the International conference on Wireless & Mobile Networks, WiMoN (in lecture series of Springer), 2010.[Abstract]

Wireless Sensor Networks (WSN) are networks of low cost nodes with minimal power consumption, processing capabilities and maintenance, that can be used for wide area environmental monitoring. This paper discusses the main innovations, challenges, solutions and deployment experiences in designing a Lightweight Management Framework (LMF) for a real-time, 24/7 operational, heterogeneous network. The network must reliably deliver data continuously from a set of deep earth probe sensors in a remote hilly rainforest area to a data management, analysis, and visualization center at the University campus hundreds of miles away. This framework provides the ability to incorporate different heterogeneous networks such as 802.15.4, 802.11b/g, VSAT, GPRS, GSM, Internet and also proprietary wireless sensor network and hardware architectures. It also handles various network failures, data corruption, packet loss, and congestion problems. The data is analyzed to determine the factor of safety of the landslide prone area using landslide simulation software, stream data in real-time to the internet, and give automatic warnings. The architecture has been implemented in a real-time wireless sensor network deployed in the Western Ghats of Kerala, India to detect landslides. The architecture is operational in the deployment site since February 2008 and was used to issue landslide warnings during the July 2009 monsoon.

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2010

Dr. Maneesha V. Ramesh, “Wireless Sensor Network for Disaster Monitoring”, Wireless Sensor Networks: Application-Centric Design, 2010.

2009

Dr. Maneesha V. Ramesh, Vasudevan, N., and Freeman, J., “Real Time Landslide Monitoring via Wireless Sensor Network”, in EGU General Assembly Conference Abstracts, 2009.[Abstract]

Rainfall induced landslides are a common phenomena in the Western Ghat region of Southern India and result in numerous fatalities and damage to property. In order to collect the most relevant and useful data, at the&nbsp;time&nbsp;it is most needed, a&nbsp;wireless&nbsp;sensor&nbsp;network&nbsp;is being used for&nbsp;landslide&nbsp;monitoring. The advantage it gives to&nbsp;landslide&nbsp;monitoringis that it is an inexpensive and reliable way to communicate rapidly over a long distance and inhospitable terrains, collect data in&nbsp;real-time, and alter the data collection rate remotely to suit current environmental conditions. We have implemented a&nbsp;real&nbsp;time&nbsp;landslide&nbsp;monitoring&nbsp;system over a seven acre active complex&nbsp;landslide&nbsp;site. An array of geological sensors (piezometers, tiltmeters, strain gauges, rain gauges, dielectric moisture sensors, geophones) has already been deployed and the data is being automatically collected and forwarded via the&nbsp;wireless&nbsp;sensor&nbsp;network. The geotechnical data is then transferred over 300 km via a satellite link to a remote&nbsp;monitoring&nbsp;station for further analysis. This will give us a better understanding of landslides in this region and prevent the loss of human life.

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2009

Dr. Maneesha V. Ramesh, “Real-Time Wireless Sensor Network for Landslide Detection”, in Third International Conference on Sensor Technologies and Applications, 2009. SENSORCOMM '09. , 2009.[Abstract]

Wireless sensor networks are one of the emerging areas which have equipped scientists with the capability of developing real-time monitoring systems. This paper discusses the development of a wireless sensor network(WSN) to detect landslides, which includes the design, development and implementation of a WSN for real time monitoring, the development of the algorithms needed that will enable efficient data collection and data aggregation, and the network requirements of the deployed landslide detection system. The actual deployment of the testbed is in the Idukki district of the Southern state of Kerala, India, a region known for its heavy rainfall, steep slopes, and frequent landslides.

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PDF iconReal-time-Wireless-Sensor-Network-for-Landslide-Detection.pdf

2009

Dr. Maneesha V. Ramesh, Soman, K. P., and R., L., “Wireless Sensor Network Localization With Imprecise Measurements Using Only a Quadratic Solver.”, in the Proceedings of the 2009 International Conference on Wireless Networks (ICWN’09), 2009.[Abstract]

The energy constrained wireless sensor nodes need very efficient localization algorithm for event detection. We propose a method for localizing the wireless sensor nodes using the concept of Cayley-Menger Determinants, which in turn uses a quadratic solver. This is a modification of the method proposed in Ref. [5]. Cayley-Menger Detereminants are used to introduce corrections to the noisy measurements, so that the measured distances meets all the Euclidean geometric properties. Ref. [7] uses semidefinite programming with L1 norm, while Ref. [5] uses quadratic programming combined with Cayley-Menger Determinants. The proposed method is found to be computationally very much simpler and efficient than those in Ref. [7], and [5].

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2008

Dr. Maneesha V. Ramesh and Dr. Usha Kumari P. V., “Threshold Based Data Aggregation Algorithm to Detect Rainfall Induced Landslides”, in Proceedings of the 2008 International Conference on Wireless Networks (ICWN’08), 2008, pp. 255-261.

2008

R. R. T., Dr. Maneesha V. Ramesh, and Sangeeth, K., “Fault Tolerant Clustering Approaches in Wireless Sensor Network for Landslide Area Monitoring”, in Proceedings of the 2008 International Conference on Wireless Networks, ICWN 2008, Las Vegas, NV, 2008, pp. 107-113.[Abstract]

The installation or deployment of a wireless sensor network (WSN) in a real world application is prone to innumerable failures such as software or hardware malfunctioning, environmental hazards, radio interference, battery exhaustion, etc. In a safety critical application such as landslide prediction, fault tolerant approaches have to be followed to ensure the availability of sensor data at the analysis station during a critical situation. We propose a fault tolerant and energy efficient clustering approach which organizes the whole network into smaller cluster and subcluster groups enabling a considerable reduction of communication and processing overhead. Subcluster formation also gives the possibility to skillfully deal with sensor nodes, node leader, and cluster head failures. We also propose a fault tolerant approach that uses a matrix based error approximation method for providing the approximate sensor data of the failed node. The approximate code prediction takes into consideration various geological aspects of the problem.

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PDF iconFault Tolerant Clustering Approaches in Wireless.pdf

2008

J. Freeman, Dr. Maneesha V. Ramesh, and Mohan, A., “Biologically Inspired Data Propagation and Aggregation Method for Wireless Sensor Networks.”, in ICWN, 2008.

2007

Dr. Maneesha V. Ramesh, Raj, R., Freeman, J., Kumar, S., and P Rangan, V., “Factors and Approaches Towards Energy Optimized Wireless Sensor Networks to Detect Rainfall Induced Landslides.”, Proceedings of the 2007 International Conference on Wireless Networks (ICWN’07). CSREA Press, pp. 435-438, 2007.

2006

A. Al-Shaheen and Dr. Maneesha V. Ramesh, “Enhancement of bandwidth of planar microstrip antenna with metamaterials”, 2006.

2003

N. V. S. M Rao, Biju, B., Ansar, A. K., Mujeeb, S., Dr. Maneesha V. Ramesh, and Srinivas, N. R., “‘Open Access’ Generic Method for Continuous Determination of Major Human CYP450 Probe Substrates/Metabolites and its Application in Drug Metabolism Studies”, Xenobiotica, vol. 33, no. 12, pp. 1233–1245, 2003.[Abstract]

An 'open access' generic high-performance liquid chromatography method was developed for different combination sets each containing specific cytochrome P450 probe substrate and the corresponding metabolite. Method development, optimization and validation were carried out with the following combinations: phenacetin + paracetamol + internal standard (IS, celecoxib), bufuralol + hydroxybufuralol + IS, testosterone + 6β-hydroxytestosterone + IS, chlorzoxazone + 6-hydroxychlorzoxazone + IS, coumarin + 7-hydroxycoumarin + IS, tolbutamide + hydroxytolbutamide + IS, and diazepam + desmethyldiazepam + IS. 2. The assay procedure involved a simple one-step liquid/liquid extraction followed by reverse phase chromatography (Inertsil ODS 3V column) employing a ternary gradient system and the eluate was monitored by a photodiode array/fluorescence detector. The standard curve for each compound, in the concentration range 0.1-10 μg ml-1, in various sets was linear (r2 &gt; 0.99) and absolute recoveries of all analytes were &gt; 90%. The lower limit of quantification was 0.1 μg ml-1. The intraday precision and accuracy in the measurements of quality control were &lt; 15% relative standard deviation and &lt; 15% deviation from nominal values, respectively. 3. Each combination set was tested with individual chemical inhibitors (furafylline, quinidine, ketoconazole, disulfiram, diethyldithiocarbamate, sulphaphenazole and tranylcypromine) and all analytes were well resolved. Overall, the assay is simple, uses conventional instrumentation and provides a scope to analyse all cytochrome P450 combination sets continuously. The application of the method in the cytochrome P450 liability screen of novel compounds is also presented.

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  • Awarded the Best Paper at  SENSORCOMM 2010, July 18 – 25, 2010 in Venice, Italy
  • Awarded the Best Paper at  SENSORCOMM 2009, June 17 -19, 2009, Athens, Greece
  • Awarded the ACM-Woman Scholarship 2008 by Association of Computer Machinery headquartered in New York.
  • NABARD AWARD for Rural Innovations- 2012, 2nd Prize, received on 17.10.2012 from Shri. P. Chidambaram, Hon’ble Union Minister of Finance, Govt. of India.
  • Awarded the 'Young Faculty Research Fellowship' under the Visveswaraya PhD Scheme for Electronics and IT of DeitY for the year 2015-16.
  • CREATE UNAOC Challenge Award : 'Sanskar', an interactive Android app, developed by Dr. Maneesha was shortlisted among the top five finalist applications in the 2012 Create UNAOC Challenge, an international competition for app developers that sought to introduce new avenues for intercultural dialogue.
  • Best Paper Awarded for the paper titled ''Wireless Sensor Network Security: Real-Time Detection and Prevention of Attacks" in the 4th International Conference on Advanced Computer Control (ICACC 2012) 2012, Nov. 7-8, 2012 held at Shanghai, China.
  • Awarded Best Poster award in ACM SenSys  November 11th -14 in Italy,  titled " An Adaptive Energy Management Scheme for Real-time Landslide Detection".
  • Awarded US PATENT for “Network based system for predicting landslides and providing early warnings” in January 2014.
  • Dr. Maneesha V. Ramesh Speaks of Wireless Communication for Disaster Management at UNAI-Amrita Conference at UN on 8th July 2015.

The total number of funded research projects which Dr. Maneesha is the Principal investigator since 2009 :  13 nos

PROJECTS DETAILS
WINSOC Funding Agency: European Commission
Duration of project: Sep 2006 - June 2009
Real-time Data Transmission Through Satellite Networking  for Landslide Monitoring, WINSOC Funding Agency: ANTRIX (a commercial arm of Indian Space Research Organization, ISRO)
Duration of project: Nov 2007 – July 2009
Wireless Sensor Network for Real-time Landslide Monitoring Funding Agency: DIT, India (Department of Information Technology)
Duration of project: Feb 2009 – Jan 2011
Wireless Networks and Techniques with Applications to Societal Needs Indian Side Principal Investigator: Dr. P. Venkat Rangan, Amrita Vishwa Vidyapeetham
Indian Side Co-Principal Investigators: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham Dr. Anurag Kumar, IISc
Investigators from Brazil: Dr. Edmundo de Souza e Silva, Universidade Federal do Rio de Janeiro, 
Dr. Roberto (Boisson), Pontificial Catholic University of Rio de Janerio
Funding Agency: Department of Science and Technology (DST)
Project Duration: 2010 - 2013
Monitoring and Detection of Rainfall Induced Landslide using an Integrated Wireless Network System Principal Investigator: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Co-Principal Investigator: Dr. P. Venkat Rangan, Amrita Vishwa Vidyapeetham
Funding Agency: Department of Science and Technology (DST)
Project Duration: 2011 - 2013
A Wireless Remote Sensing, Experimentation, Monitoring and Administration Lab - A Remote Triggered Lab Principal Investigator: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Funding Agency: Ministry of Human Resource and Development (MHRD)
Project Duration: 2012 - 2013
NKN a Gateway to a Global Classroom Principal Investigator: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Co-Principal Investigator: Prof. Balaji Hariharan, Amrita Vishwa Vidyapeetham
Prof. Kamal Bijalani, Amrita Vishwa Vidyapeetham
Dr. P. Venkat Rangan, Amrita Vishwa Vidyapeetham
Funding Agency: Ministry of Communications and Information Technology, Department of Information Technology
Project Duration: 2012 – 2014
Landslide Control Prevention and Prediction- Preparation of a Detailed Project Report Principal Investigator: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Funding Agency: Department of Science and Technology (DST)
Advancing Integrated Wireless Sensor Networks for Real‐time Monitoring and Detection of Disasters Principal Investigator: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Funding Agency: Ministry of Earth Science (MoES)
Project Duration: 2013-2016
SoC & Embedded System Design Environment and Its Application to Wireless and Security. [Indo- Japan collaborative project ] Principal Investigator: Indian side: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Co- Principal Investigator: Indian side: Dr. Bibhudatta Sahoo, Amrita Vishwa Vidyapeetham
Principal Investigator: Japan side: Dr. Masahiro Fujita,Professor, VLSI Design and Education Center (VDEC), University of Tokyo
Project Duration: 2013-2015
Stabiliz-E project Stabiliz-Energy [Indo-German Collaborative project] Principal Investigator: Indian side: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Other Partners: Indian Institute of Technology, Kanpur and Maxim, India
Foreign Partners: EVOLEO Technologies, Portugal., VTT Technical Research Centre of Finland and Fortiss GmbH, Germany.
Project Duration: 2014-2016
MICRONet - Mobile Infrastructure for Coastal Region Offshore Communications & Networks Principal Investigator: Dr. Maneesha V. Ramesh Co - Principal Investigator: Prof. Sethuraman Rao (AmritaWNA), Dr. B.S. Manoj (IIST), Dr. Elizabeth Sherly (IIITM-K)
Project Duration: 2014-2017
Monitoring & Management of Urban Flooding using a Crowd- Sourcing Technique Principal Investigator: Indian side: Dr. Maneesha V. Ramesh, Amrita Vishwa Vidyapeetham
Prof. Sethuraman Rao, Dr. Venkat Rangan, Prof. Balaji Hariharan, Dr. A.K. Gosain[IITDelhi], Dr. A.K Nema [IIT Delhi]
German Partners: Dr. Thomas Haenselmann, Department of Computer Science, University of Mannheim,
Dr. Wolfgang Effelsberg. 
Project Duration: 2015-2018

Courses Taught

  • Fundamentals of Wireless Communications, Advanced Wireless Networks, Wireless Sensor Networks, Essentials of Management, Wireless Networks, Computer Networks, Object Oriented Programming, Data Structure and Programming Methodology Lab, C Programming, Software Lab using PASCAL

Invited Lectures at Conferences & Workshops

  • Workshop on University Networks for Education and Research in Disaster RiskManagement atBangkok, Thailand : December, 2009
  • IEEE workshop on Humanitarian Technology Challenges of the 21st Century Trivandrum, Kerala, India : February 2010
  • Workshop on geo-spatial technologies organized by Indian Institute of Technology, Mumbai : December 2009.
  • The National Workshop “ UbiComp India 2008”
  • The Workshop on “Wireless Sensor Networks: Technology and Roadmap”, sponsored by Government of India’s Ministry of Communication and Information Technology (MCIT), and Department of Information Technology (DIT), at Indian Institute on Technology, Mumbai, India.
  • “National Symposium on Mathematical Methods and Applications on December 22, 2005 at IIT Chennai. A paper on "Medical Image Encryption using Wavelets" was presented at the symposium.
  • Dr. Maneesha V. Ramesh had delivered a talk on 'Credit Transfer and Transnational Education'       at International Meet being organized by the Kerala State Higher Education Council  from January 3 -5, 2014.
  • Dr. Maneesha V. Ramesh had delivered a talk in Indo-German Frontiers of Engineering Symposium, Pragati Resort, Hyderabad, 14th  to 18th March, 2013.
  • Dr. Maneesha V. Ramesh had a presentation in ACM annual event, 24th to 25th January, 2013 in Chennai

Invited Lectures at Foreign Universities

University of Washington US Geological Survey, Menlo Park University of California, Santa Cruz
University of California, Berkley San Diego State University University of Southern California
US Geological Survey, Denver University of Michigan Eastern Michigan University
University of California, Los Angeles New York University Columbia University, New York
University of Maryland, College Park Harvard University University of New Mexico
University of Texas, Dallas University of Mannheim, Germany Technical University of Munich, Germany
University of Twente, Holland University of Milano, Italy Eurecom at Sophia Antipolis, France
Grenoble Institute of Technology, France Intel Research Labs, University of California, Berkeley Stanford University
University of California, San Diego University of California, Irvine University of Iowa
Iowa State University University of Texas, Austin Purdue University
University of Illinois, Urbana Champian Massachusetts Institute of Technology EPFL, Switzerland
ETH Zurich, Switzerland VU University, Netherlands University of Groningen, Netherlands
University of Twente, Netherlands International Institute for Geo-Information Science and Earth Observation, Netherlands University of Paderborn, Germany
University of Mannheim, Germany University of Montpellier 2, France Universitat Politecnica De Catalunya (UPC), Spain
Universitat Pompeu Fabra(UPF), Spain    

Other Conferences & Workshops

  • Dr. Maneesha V.Ramesh and Dr. Maarten van Steen, Scientific Director of CTIT, University of Twente spoke on the topic Wireless Communication for Disaster Management during the one day conference "Technology for Sustainable Development" on July 8, 2015 at United Nations, New York that was jointly hosted by United Nations Academic Impact and Amrita Vishwa Vidyapeetham
  • Dr. Maneesha presented abstract titled as "Wireless Sensor Networks for Real Time Monitoring & Early Warning of Landslides: A Real World Deployment in Western Ghats & Himalayas in India" at United Nations Office for Disaster Risk Reduction (UNISDR) Science and Technology Conference (January 27 - 29, 2016)
  • Dr. Maneesha attended a one day workshop on the topic of ‘Urban Flood Management – Challenges and Initiatives’ organized by the State Government of Kerala on February 19, 2016.
  • "Mathematical Transform Methods in Engineering" from February 20 - 25, 2006 organized by Centre for Excellence in Computational Engineering and Networking (CEN), Ettimadai campus
  • Attended Thirteenth International Conference on Advanced   Computing & Communication - ADCOM 2005 of ACS, on December 14-17, 2005 at Ettimadai Campus
  • Attended Intensive Workshop on Linear Algebra conducted by Dept of Mathematics, Amritapuri campus on December 6-11, 2005.
  • Attended "Multi Agent System School" conducted by IIIT, Hyderabad, on August 4 - 12, 2004.
  • Attended a Workshop on "C Programming" at Amrita Vishwa Vidyapeetham, Coimbatore, May 16 - 21, 2004.
  • Attended "Object Oriented Programming Workshop" at Amrita Vishwa Vidyapeetham, Coimbatore, May 10 – 15, 2004.
     
  • “Wireless Technology System to Predict Natural Calamities”, Press Bureau, Govt of India, 21 May 2012, Weblink 
  • “WINSOC Project Advances Wireless Sensor Networks”, published in V1 Magazine.
  • “WINSOC Project Advances Wireless Sensor Networks”, published in GeoConnexion Magazine
  • WINSOC has been featured in the newspaper, “The Telegraph”, which is one of the major Indian newspapers. It has been published in its “know HOW” section titled as “Early Warning System”. The online version can be accessed through the link.

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