Qualification: 
Ph.D, M.E
j_shah@blr.amrita.edu
Phone: 
Extn: 307

Dr. Jalpa Shah serves as an Assistant Professor at the department of Electronics and Communication Engineering, Amrita School of Engineering, Bengaluru. She received Bachelor’s Degree in Instrumentation and Control from Nirma University, Ahmedabad, India and Master’s Degree in Microelectronics from Indian Institute of Science (IISc), Bangalore. She is pursuing Ph. D. from DA-IICT, Gandhinagar, India. She has currently submitted Doctorate Degree thesis. She has 13 years of teaching experience. During her career, she has given contribution for developing new laboratories, for new teaching-learning methods and guiding UG and PG projects. Her research interests include Internet of Things (IoT), Wireless Sensor Network, Embedded Systems, Machine Learning.

Education

  • 2020: Ph. D.
    Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT)
  • 2009: M. Tech./M.E./M.S. in Microelectronics
    Indian Institute of Science (IISc)
  • 2004: B.Tech./B.E in Instrumentation and Control
    Nirma University

Professional Appointments

Year Affliation
2018 Assistant Professor
2019 Assistant Professor (Sr. Gr)

Research & Management Experience

  • Research experience of 8 years.

Membership in Professional Bodies

  • ISTE life time member

Publications

Publication Type: Journal Article

Year of Publication Title

2020

Jalpa Shah and Mishra, B., “Analytical equations based prediction approach for PM2.5 using artificial neural network”, SN Applied Sciences, vol. 2, no. 9, p. 1516, 2020.[Abstract]


The worldwide, particulate matter pollution is considered one of the deadliest types of air pollution due to its significant impact on the global environment and human health. The particulate matter (PM2.5) plays a key role in evaluating the air quality index. However, the conventional PM2.5 monitoring instruments used by the air quality monitoring stations are costly, bulkier, time-consuming, and power-hungry. Furthermore, due to limited data availability and non-scalability, it is challenging to provide high spatial and temporal resolution in real-time. To overcome these challenges, we present analytical equations based prediction approach for PM2.5 using an artificial neural network. Moreover, we contribute the correlation study between PM2.5 and other pollutants using a large authenticate data set of Central Pollution Control Board online station, India. The correlation study reveals the strong correlation of eight pollutants with PM2.5, which found useful for the proposed prediction model and future research work. The computation of the proposed analytical equation using a low-cost processing tool (excel sheet) demonstrates a good match between predicted and actual results. Additionally, the derived analytical equation for the prediction can be computed using a wireless sensor node which ultimately eliminates the need for costly propriety tools. The performance of proposed analytical equation for prediction show root mean square error and coefficient of determination ($$R^2$$) 1.80 $$\upmu$$g/m$$^3$$and 0.99 respectively using eight correlated predictors. The recalibrated prediction model with three correlated predictors show RMSE of 7.54 $$\upmu$$g/m$$^3$$and $$R^2$$of 0.97 and proves the effectiveness of the proposed approach in implementation using minimum power-hungry gas sensors on the WSN. Therefore, obtained results demonstrate that the proposed approach is one of the promising approaches for monitoring PM2.5 without power-hungry gas sensors and bulkier analyzers.

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2020

Jalpa Shah and Mishra, B., “IoT-enabled Low Power Environment Monitoring System for prediction of PM2.5”, Pervasive and Mobile Computing, vol. 67, p. 101175, 2020.[Abstract]


Air pollution is a major concern worldwide due to its significant impacts on the global environment and human health. The conventional instruments used by the air quality monitoring stations are costly, bulkier, time-consuming, and power-hungry. Furthermore, due to limited data availability and non-scalability, these stations cannot provide high spatial and temporal resolution in real-time. Although energy-efficient, wireless sensor network with the high spatio-temporal resolution is one of the potential solutions, real-time remote monitoring of all significant air quality parameters with low power consumption is challenging. To address this challenge, we propose internet of things-enabled low power environment monitoring system for real-time monitoring of ten significant air quality parameters. Moreover, the proposed system enables remote monitoring and storage of data for future analysis. Unlike earlier research work, further expansion of the proposed system is easily possible, as the proposed Wireless Sensor Node (WSN) can interface a higher number of sensors with the same number of interfacing pins. We did an in-depth analysis through calibration, experiments, and deployment which confirms the power efficiency, flexibility, reliability and accuracy of the proposed system. Results illustrate the low power consumption of 25.67mW, data transmission reliability of 97.4%, and battery life of approximately 31 months for a sampling time of 60 min. The study of the correlation between Particulate Matter 2.5 (PM2.5) and other pollutants is performed using Central Pollution Control Board data of 41 months. The initial study related to correlation is performed for the future work of developing a prediction model of PM2.5 using highly correlated pollutants. The future approach for developing a prediction model in the form of analytical equations with the help of artificial neural network is demonstrated. This approach can be implemented using the proposed WSN or low-cost processing tool for evaluating PM2.5 from precursor gases. Therefore, this approach can be one of the promising approaches in the future for monitoring PM2.5 without power-hungry gas sensors and bulkier analyzers.

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2016

Jalpa Shah and Mishra, B., “Customized IoT Enabled Wireless Sensing and Monitoring Platform for Smart Buildings”, Procedia Technology, vol. 23, pp. 256 - 263, 2016.[Abstract]


In this paper we present a customized Internet of Things (IoT) enabled Wireless Sensing and Monitoring Platform to monitor the temperature, relative humidity and light in the context of building automation. In developed system, data is sent from the transmitter node to the receiver node through a customized hopping method. The data received at the receiver node is monitored and recorded in an excel sheet in a personal computer (PC) through a Graphical User Interface (GUI), made in LabVIEW. An Android application has also been developed through which data is transferred from LabVIEW to a smartphone through which data is remotely monitored. More »»

2016

Jalpa Shah and Mishra, B., “Internet of Things enabled Environmental Monitoring System for Smart Cities”, International Conference on Internet of Things and Applications (IOTA), Pune, 2016, 2016.

2014

Jalpa Shah, Keyur, S., and Bhatt, N., “Modeling and Simulation of prototype of boiler drum level control”, International Conference on Mechanical and Industrial Engineering, vol. 2, 2014.[Abstract]


This paper represents an approach for controlling a very crucial parameter of boiler i.e. level of the boiler drum using PID controller. IMC based PID tuning method is used with feed forward and feedback strategy is used to control two element drum level. Besides this paper is also describes the modeling of the process for level control and implemented it in simulink. Hardware model has also been developed and proved open loop validation for theoretically derived model & practical model, further practical and simulation responses are compared with respect to rise time, settling time and maximum peak overshoot. More »»

2014

A. Bhoursae, Jalpa Shah, and Bhatt, N., “Design and analysis of the prototype of boiler for steam pressure control”, International Conference on Mechanical and Industrial Engineering, 2014., vol. 2, no. 2, 2014.[Abstract]


To obtain high energy efficient power plant operation it is necessary to efficiently control the steam pressure. Hence an effort has been made in this paper to control such a critical parameter i.e. steam pressure by developing a prototype of boiler kit using PLC based PID controller which uses IMC technique for tuning the parameters of the PID. Presented work also includes the modeling of the process and simulation has been done with the appropriate transfer function using feed forward feedback control strategy. Further practical responses and theoretical response has been compared. Also open loop validation has been done to validate the prototype model. More »»

2014

A. Bhourase, Solanki, K., Jalpa Shah, and Bhatt, N., “Preheating of Furnace Feed Oil Using PLC”, Procedia Technology, vol. 14, pp. 372 - 379, 2014.[Abstract]


Liquid fuels like furnace oil are predominantly used in industrial application. Viscosity is the most important characteristic in the storage and use of fuel oil. Viscosity influences the degree of pre-heat required for handling, storage and satisfactory atomization. If the oil is too viscous, it may become difficult to pump to light the burner as well as tough to operate which causes poor atomization. Therefore pre-heating is necessary for proper atomization as it may result in the formation of carbon deposits on the burner walls. This work presents the development of a modular temperature control system for furnace feed oil and implemented using a modern high performance PLC. More »»

Publication Type: Conference Paper

Year of Publication Title

2019

A. Reghunath, Nair, S. Vanaja, and Jalpa Shah, “Deep learning based Customized Model for Features Extraction”, in 2019 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2019.[Abstract]


In the last few years, deep learning is one of the powerful technique, used for image recognition. Among the various kinds of deep neural networks, Convolutional Neural Network (CNN) nowadays has been widely used for the purpose of image recognition. In this work, we present the customized model developed for feature extraction of medical packages. Now a days, it is difficult to distinguish an original medicine from counterfeit. The proposed model based on CNN can be useful in identifying the original medicine which forms the first step in the process to identify counterfeits. The medicine images are used as dataset for feature extraction and image classification. Medicine package shape, edges and colour are used for feature extraction of customized model. Classification is done to distinguish medicines which is of same colour and differs in their name, printed text, barcode and the company logo. One of the popular pre-trained CNN architecture model VGG-19 is used for comparing the results of developed customized model. Customized model consists of only five layers convolution layer, maxpooling layer, dropout layer, flatten layer and dense layer. In comparison to pre-trained VGG-19 model customized model reduces number of layers from 19 to 5. Number of layers are reduced to 5 because increasing the number of layers were not showing much improvement in the testing results for given dataset. Training accuracy of 93.17%, validation accuracy of 88.68% and testing accuracy of 76.67% is obtained for the customized model. The results can be made more precise and accurate by optimizing the number of layers in the model. In the proposed model we have used 5 layers. The optimization of number of layers is done based on the prediction accuracy. The accuracy of less than 50% was achieved using 3 layers and it is increased up to 76% with 5 layers. No further improvement in the prediction accuracy was observed by increasing number of layers to 6 or 7, so for the proposed model 5 layers are selected.

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2018

Vineetha K, Dr. Dhanesh G. Kurup, and Jalpa Shah, “Implementation of Artificial Neural Network on Raspberry Pi for Signal Processing Applications”, in ICACCI, India, 2018.

2018

Arawind K, Jalpa Shah, and Dr. Dhanesh G. Kurup, “Bit Error Rate (BER) Performance Analysis of DASH7 Protocol In Rayleigh Fading Channel”, in IEEE International conference on Computing, Communications and Informatics (ICACCI), Bangalore, 2018.

2016

Jalpa Shah and Mishra, B., “Customized IoT enabled Wireless Sensing and Monitoring Platform for preservation of artwork in heritage buildings”, in 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016.[Abstract]


In this paper we present a customized Internet of Things (IoT) enabled Wireless Sensing and Monitoring Platform to monitor the temperature, relative humidity and light in the context of museums and heritage buildings. The system presented here has been validated at the Shreyas Folk Art Museum, India and the results are discussed. In developed system, data is sent from the transmitter node to the receiver node through a customized hopping method. The data received at the receiver node is monitored and recorded in an excel sheet in a personal computer (PC) through a Graphical User Interface (GUI), made in LabVIEW. An Android application has also been developed through which data is transferred from LabVIEW to a smartphone through which data is remotely monitored.

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2014

D. Patel, Khirsariya, A., and Jalpa Shah, “Automated system for hotel room service”, in 2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking, 2014.[Abstract]


We are living in the era of automation. Recently, field of automation in homes is flourishing which has made our life more convenient. Fully automated rooms, where controlling of home appliances like light, curtains, TV, fan and AC through a single device is possible, are mainly available in luxurious hotels. We have designed a system that can be an additional amenity in luxurious hotels. Task of this system is to deliver food in particular hotel room. System contains Mobile Unit, Wireless Modules and GUI based on LabVIEW2010. Mobile Unit, which is equipped with two high torque DC motors, motor driver circuitry, Arduino controller board, wireless module and two batteries, can be sent to any room by pressing respected room number button on GUI to serve food. Wireless Modules will aid in propagation of signal from GUI to Mobile Unit and vice versa. Here, waiter's job is to monitor entire process sitting near GUI like control room in modern industries. In this paper, all the aspects regarding this system are explicitly explained.

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2014

Jalpa Shah, Modi, B., and Singh, R., “Wireless home appliances controlling system”, in 2014 International Conference on Electronics and Communication Systems (ICECS), 2014.[Abstract]


In the past, home automation was confronted with distance barriers in large homes and commercial buildings because the network was limited in how far the signal could travel. Large homes with longer wiring distances experienced weak signals and sporadic performance. But, now we have different RF modules available in the market which are capable of generating powerful signals which could travel to distance. Today, Homeowners with large home or power-line wiring issues have found wireless to be a new solution for building and expanding their home automation system So, RF based home appliance controlling is widely accepted and used, now a days. Our approach is to make a low cost system with highest efficiency to control home appliances in maximum range. We have made a system which can do on-off of 15 devices from single remote. It works in a range of a 20-30 meter. The system also includes GSM modem which will notify the owner about the current on or off status of the appliances to his pre-defined particular mobile number. Also, in this system we can control speed of a DC motor of some appliances like Dryers, from distance.

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2014

H. Mandliya, Tandon, A., Jalpa Shah, and Rajpal, R., “Gigabit Ethernet Based Image Acquisition System for IR Camera”, in 2014 International Conference on Computational Intelligence and Communication Networks, 2014.[Abstract]


With the advancements in the hardware technology, it is now possible to transmit data over Ethernet at the rate of 100Mbps/1Gbps. The only limiting factor for such a high peed data transfer is the speed of the processor in the computer which does all the TCP/IP processing by using the TCP/IP software written in it. In the present system, the IR sensor used is taking 50 images of plasma per second. When these images data are converted into digital, 7.3 Mbytes of data is required to be transmitted over the Ethernet. To transfer such a huge amount of data over the Ethernet, a TCP/IP Offload Engine (TOE) is used. TOE has the TCP/IP protocols implemented in hardware and does the all the TCP/IP processing. Thus, the image data transfer at Gigabit speed is achieved.

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2013

Jalpa Shah, Tigmanshu, P., and Satria, M., “Dynamic Modeling, Optimal Control Design and Comparison between various control schemes of Home Refrigerator”, in International Journal of Current Engineering and Technology , 2013, vol. 3, no. 5, pp. 2047-2052.[Abstract]


Several conventional methods present in refrigerators today consider varying actuators between its minimum and maximum values (Single speed control) or at several values between minimum and maximum values (Discrete speed control). The work done here presents an organized control design method based on appropriate modeling techniques to co-ordinate control inputs in order to achieve improvement over the conventional control schemes. A moving boundary lumped parameter model has been developed to describe the dynamics of heat exchangers. Single speed and Discrete speed control strategies are simulated with this dynamic model. A low order model has been established of the entire system integrating the compressor and expansion valve model which is in good agreement and reflects major dynamic characteristics of vapor compression cycle. LQR control has been applied by appropriate objective function formulation followed by simulation and comparison with other control strategies.

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2013

Jalpa Shah and Shah, U. S., “Fuzzy controlled wireless touch screen based data acquisition system for pump monitoring and controlling”, in 2013 Nirma University International Conference on Engineering (NUiCONE), 2013.[Abstract]


The replacement of the physical connection between a data acquisition system and the data processing unit with wireless connection makes system flexible and robust, especially when this system is located in an industrial environment. This paper analyzes the possibility to build a compact-sized, low-cost wireless data acquisition system with improved power saving capabilities and fuzzy control for pump control. The aimed computational platform is the PIC microcontroller while the chosen wireless communication standard is Bluetooth [IEEE 802.15.1]. Data acquisition, storage, display and communication are implemented using microcontroller architecture. Microcontroller has integrated Analog to Digital converter, Graphics controller, RAM, ROM and other modules. Touchscreen HMI, non-volatile FLASH chip and external SRAM are attatched externally. The system is also equipped with RS-232 for easy data transfer to PC. The system will use Fuzzy control algorithm for controlling Flexible Impeller Pump [FIP].

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2012

Jalpa Shah, Pathrabe, L., and Patel, B., “Wireless smart power saving system for home automation”, in 2012 1st International Conference on Emerging Technology Trends in Electronics, Communication Networking, 2012.[Abstract]


Mostly in home and office appliances like light and fan are manually controlled which leads to power wastage. They are left ON even if there is no usage and even when the appliances are in use their operation is not controlled by environmental conditions like daylight and temperature variation. By making a smart automated controlling system for appliances we can save the power by huge amount. In this paper we are providing a solution for preventing the wastage of power in a comfortable and cost effective way. Our system consists of an electronic door lock and power saving module. When the person enters the correct password in door lock the power saving module is switched on. The power saving module switches the appliances in the room based on the presence of the person. It also controls the power delivered to fan and light according to temperature of room and natural daylight intensity.

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Research Grants Received

Year Funding Agency Title of the Project Investigators Status
2020 VGST IoT based Environment Monitoring and Controlling System for reserving Cultural Heritage Dr. Jalpa Shah Ongoing

Collaborative Research

Year Title and Other Details
2020 Dr. Dr. Alberto Ros from University of Murcia, Spain is a Co-Guide for PhD student Ms. Bhargavibahen Upadhyay 

Courses Taught

Analog Electronics Microprocessor and Microcontrollers
Linear Integrated Circuits Embedded System Design
Digital Logic Design Electrical and Electronics Measurement
Control Theory Virtual Instrumentation
Network Analysis and Synthesis Advanced Microcontrollers and its Applications
Virtual Instrumentation and its Applications Transducers and Measurement
Internet of Things Digital Design for Instrumentation
Digital Electronics and System Design Sensors and Signal Conditioning
Reconfigurable computing Testing and Design For Testability
Digital VLSI Analog VLSI
C programming Programmable Logic Controller

Student Guidance

Undergraduate Students

Sl. No. Name of the Student(s) Topic Status – Ongoing/Completed Year of Completion
1 A Aishwarya G Kusuma Geethanjali J  Smart Irrigation System With Disease Detection And Prediction Completed 2019
2 A. S. Vaishnavi G. Madhuri IoT Based Voice Controlled Smart Irrigation Completed 2019
3 Sanghavi Choppadhandi IoT Gateway for “Smart Water Quality Monitoring” Completed 2019
4 Aman Hebbale GHR Vinay B V N Vamsi Krishna Diabetes prediction and alert system ongoing 2020
5 Cherukuri B V Prasanth GVS JATIN Gownivaripalli Sreekar reddy IoT based environment monitoring system to protect heritage artefacts ongoing 2020

Postgraduate Students

Sl. No. Name of the Student(s) Topic Status – Ongoing/Completed Year of Completion
1 Akshya Reghunath Deep Learning Based Customized Model For Features Extraction Completed 2019
2 N.S.V.S Ganga Bhavani Energy Efficient Multiplier ongoing NA

Research Scholars

Sl. No. Name of the Student(s) Topic Status – Ongoing/Completed Year of Completion
1 Ms. Bhargavibahen Upadhyay  Fine granular Private/ Shared Memory Classification for Cache Performance Ongoing NA
2 Ms. Meera K S Distinguishing Aortic Stenosis and Mitral Regurgitation Ongoing NA