Future wireless networks will demand huge amounts of radio frequency spectrum resources. It is unlikely that such demand will be met without employing smart dynamic spectrum sharing approaches based on cognitive radio (CR) techniques. In this context, one important requirement of future wireless networks will be the ability to detect the presence of other wireless systems within a particular region of the spectrum occupancy data. Spectrum sensing is a popular approach to address this problem and constitutes a fundamental building block of CR systems. Existing sensing schemes are parametric and imperfect in nature, and unrealistic to implement on large scale networks due to various practical performance limitations. The main objective of this project is to develop feasible non-parametric smart sensing mechanisms with an improved performance obtained by exploiting statistical knowledge of the spectrum activity patterns, and validate their suitability by means of a proof-of-concept wireless prototype / test bed.
This project is funded by DST-UK-India Education and Research Initiative (UKIERI), British Council.
Dr. Dhaval Patel, Dr. Miguel López-Benítez (University of Liverpool, UK), Brijesh Soni (JRF)
The aim of the project is to develop non-parametric detection algorithm and analyze the performance in a real-time wireless environment. In this project, we focus on the study and Monte-Carlo simulations of a new non-parametric scheme to detect the presence of the primary user without knowing its structure and channel information. The work includes the detailed performance evaluation of non-parametric detection scheme in the actual wireless environment. To achieve this, GNURADIO software and the Universal Software Radio Peripheral (USRP) hardware based wireless test bed will be created to prepare the experimental setup of CR-MIMO (Cognitive Radio – Multiple Input Multiple Output) systems. Thus, the project will provide simulations and an experimental performance evaluation of non-parametric detection schemes to provide opportunistic spectrum access in a cognitive radio environment.
This project is funded by Gujarat Council on Science and Technology (GUJCOST), Department of Science and Technology (DST), Government of Gujarat.
The goal of the project is to locate a person-of-interest based on specific set of soft biometric attributes from a surveillance video without prior registration. The project will integrate and minimize semantic gap between human descriptions and soft biometric traits. Moreover it aims at extracting soft biometric features from an input image or a video frame and then uses these features to locate a matching individual in the video stream. This project will add another dimension to surveillance as human cognitive perceptions are used while searching the video streams.
This project is funded by Board of Research in Nuclear Science.
Biometrics based authentication systems have been gaining widespread acceptance in the information security domain. However there are several loopholes in biometric systems. This project aims at improving the security and authentication mechanisms of biometric systems by using complementary data hiding techniques. Fragile watermarking will be used to check the integrity and authenticity of biometric templates before identification. This will improve the overall security.
This project is funded by Board of Research in Nuclear Science.
Dr. Mehul Raval, Priti P Rege, S K Parulekar, Vaibhav B Joshi (SRF)
The primary focus of this work is to detect disease and estimate its stage for a cotton plant using images. Most disease symptoms are reflected on the cotton leaf. Unlike earlier approaches, the novelty of the proposal lies in processing images captured under uncontrolled conditions in the field using normal or a mobile phone camera by an untrained person. Such field images have a cluttered background making leaf segmentation very challenging. Using local statistical features first classifier segments leaf from the background. Then using hue and luminance from HSV colour space as features another classifier is trained to detect disease and find its stage. The developed algorithm is a generalized as it can be applied for any disease. However as a showcase, in this paper we detectGrey Mildew; a commonly occurring bacterial disease in NorthGujarat, India.
Kahinee is an Interactive Voice Response(IVR) system focused at increasing health awareness in rural citizens of India. It consists of two modules i.e. content delivery module(CDM) and question answer module(QAM). CDM delivers creatively designed audio plays on various health topics to the rural citizen. QAM helps rural citizen to ask queries pertaining to health topics and get them answered by doctors in the panel.The system is designed and developed using the principles of User Centered Design(UCD), Information & CommunicationTechnology(ICT) and Business Analytics(BA). The CDM was tested in a joint pilot with Barakat Bundle, Indian Institute of Public Health(IIPH) and Society for Education Welfare andAction(SEWA) Rural in Bharuch district, Gujarat, India. This work discuss system design, framework development, field implementation and results. The response by rural citizens during trial run yielded a confidence in system and gave fresh insights for further development.
Dr. Mehul Raval, Anmol Anubhai (B. Tech student), Rahul Patel (B. Tech student), Shashwat Sanghavi (B. Tech student), Karima Ladhalani, Barakat Bundle
This paper describesCheckIt: a mobile phone based optical mark recognition(OMR) system which is used for automatic checking of the user response sheets. It exploits prior information about the OMR sheet layout, which helps in achieving high speed and accuracy. The system incorporates following interdependent modules: (i) computer vision and image processing; (ii) computer communication and networking; (iii)database and (iv) user interface. The back end is developed in Python and OpenCV library while the front end is made using HTML and Android. The overall system cost is low as;1. software is developed using open-source technology; 2. it does not necessitate scanning hardware. The desirability and viability aspect of the system development is done based on extensive market survey and after interviewing several stake holders.
Dr. Mehul Raval, Shashwat Sanghavi (B. Tech student), Rahul Patel (B. Tech student), Dhruv Gupta (Teaching Associate)