MCA, MSc, M.Tech, B-Tech

Jisha R. C. currently serves as an Assistant Professor (Sr.Gr.) at the Department of Computer Science Applications at Amrita School of Engineering, Amritapuri. Jisha R. C. has qualified a DOEACC Level B Examination deemed professionally equivalent to M. C. A. by Govt. of India. She has pursued an M. Tech in Wireless Networks and Applications.


Publication Type: Conference Paper

Year of Publication Publication Type Title


Conference Paper

P. Devika, Jisha R. C., and Dr. Sajeev G. P., “A novel approach for book recommendation systems”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, Chennai, India, 2017.[Abstract]

Recommendation systems are widely used in ecommerce applications. A recommendation system intends to recommend the items or products to a particular user, based on user's interests, other user's preferences, and their ratings. To provide a better recommendation system, it is necessary to generate associations among products. Since e-commerce and social networking sites generates massive data, traditional data mining approaches perform poorly. Also, the pattern mining algorithm such as the traditional Apriori suffers from high latency in scanning the large database for generating association rules. In this paper we propose a novel pattern mining algorithm called as Frequent Pattern Intersect algorithm (FPIntersect algorithm), which overcomes the drawback of Apriori. The proposed method is validated through simulations, and the results are promising.

More »»


Conference Paper

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.

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

Publication Type: Journal Article

Year of Publication Publication Type Title


Journal Article

S. Sreejith, Rahul, S., and Jisha R. C., “A real time patient monitoring system for heart disease prediction using random forest algorithm”, Advances in Intelligent Systems and Computing, vol. 425, pp. 485-500, 2016.[Abstract]

The proposed work suggests the design of a health care system that provides various services to monitor the patients using wireless technology. It is an intelligent Remote Patient monitoring system which is integrating patient monitoring with various sensitive parameters, wireless devices and integrated mobile and IT solutions. This system mainly provides a solution for heart diseases by monitoring heart rate and blood pressure. It also acts as a decision making system which will reduce the time before treatment. Apart from the decision-making techniques, it generates and forwards alarm messages to the relevant caretakers by means of various wireless technologies. The proposed system suggests a framework for measuring the heart rate, temperature and blood pressure of the patient using a wearable gadget and the measured parameters is transmitted to the Bluetooth enabled Android smartphone. The various parameters are analyzed and processed by android application at client side. The processed output is transferred to the server side in a periodic interval. Whenever an emergency caring arises, an alert message is forwarded to the various care providers by the client side application. The use of various wireless technologies like GPS, GPRS, and Bluetooth leads us to monitor the patient remotely. The system is said to be an intelligent system because of its diagnosis capability, timely alert for medication etc. The current statistics shows that heart disease is the leading cause of death and which shows the importance of the technology to provide a solution for reducing the cardiac arrest rate. Apart from that the proposed work compares different algorithms and proposes the usage of Random Forest algorithm for heart disease prediction. © Springer International Publishing Switzerland 2016.

More »»
Faculty Research Interest: