The department actively promotes research in the areas of Signal Processing, Radar, Nanoelectronics and Embedded Systems. The department has the well-established infrastructure and tools that are necessary for its academic and research programs and has been recognized by ISRO to host the IRNSS receiving station on the campus. The areas of research are:
The research proposes to examine communication channel, error in the communication channel, channel coding, convolution codes, code concatenation, turbo codes, decoding algorithms for turbo decoding such as SOVA, log-MAP and interleavers for turbo codes.
This technique reduces the execution time up to 50% which in turn reduces the power dissipation for computation. For the proposed design, the work is planned to carry by developing a software reference model using MATLAB (Simulink or Code), compare the performance of the proposed design with conventional ADCs then develop a parallel ADC model using HDL programming (VERILOG/VHDL), synthesize the design and generate reports on power and time for comparison and analysis.
NIS can be used to adapt solutions to changing circumstances as VLSI floor planning is an important aspect in chip design. It involves the arrangement of a set of rectangular circuit modules on a chip to minimize total area and total interconnecting wire length without overlap between the two modules as production cost increases due to larger chip sizes, while there is an increase in power consumption due to longer wire lengths and thus, both will decrease system performance.
This research focuses on the CBIR applications in the medical domain, discussion of challenges and opportunities in the medical domain, and speculations for future research. The research involves developing different methods for content based image retrieval.
The objectives involve developing novel methods for image retrieval system based on FCM (fuzzy c-means clustering) using multiple texture features (hu moments and Gabor texture features) and multiple distance vectors.
The primary focus of this research is to develop a cardiovascular model for normal operations by using electronics circuit having different components.
Artificial Neural Networks (ANN) for SPC chart pattern recognition’s usage have motivated researchers to go ahead with it. The neural network technology and its application have overcome the few drawbacks in the traditional expert system approaches.
Indian Regional Navigational Satellite System (IRNSS) receiver has been installed in the department, used in mobile platform as a Rover to conduct application-oriented campaigns such as mapping and survey.
3 User Receivers has been sponsored by ISRO to the department which is inbuilt with IRNSS, GPS and GAGAN Receivers to perform positioning and Navigation studies in the Indian geographical region.
On orbit characterization of space borne synthetic aperture Radar performance using ground deployed corner reflectors.
The objective of project
The department actively promotes research in the areas of Signal Processing, Radar, Nano electronics and Embedded Systems. The department has the well-established infrastructure and tools that are necessary for its academic and research programs and has been recognized by ISRO to host the IRNSS receiving station on the campus. ISRO has provided the department with IRNSS receivers worth 30 lakhs to setup NavIC lab. Currently we have 6 ongoing projects funded by ISRO. Some of the research areas of department are:
Department is actively involved in designing of unmanned vehicles for land, water and air.
Problem statement : To build an efficient Autonomous Land vehicle which takes into account certain factors, detects collision and changes its direction to reach the given destination with the help of the waypoints.
Methodology : Understanding the design and working of a Remote controlled land vehicle (Robot). Design and development of an unmanned land vehicle model. Initially the design of control system of vehicle is done i.e., wheels are controlled through the Raspberry pi 3 with L298 driver. Then the development of obstacle detection and avoidance system is carried out using 3 ultrasonic sensors (Front, left and Right side obstacles). Image processing is done with the help of Kernel and Contour Algorithms using Raspberry pi through openCV for Traffic color and sign detection. With the help of GPS co-ordinates way points and algorithm, the navigation of vehicle from source to destination has been achieved.
Outcome : the course is assumed to be smooth, the GPS module would constantly provide accurate information and that the power supply would be constant. This is an ideal case. During testing however these factors come into play and cause variations in the results. The rover completed the course but overshot one or two vertices on occasion. The speed and direction was hindered by the uneven surface which caused the rover to veer off the path towards the end. After much initial tests prior to the demonstration, the battery output voltage was lower than its initial value and the vehicle had to be connected directly to a PC in order to provide enough current for all the components. The vehicle did manage to complete the entire path at a relatively fast pace with all the constraints adhered to.
Problem Definition : Designing a Hand-held device which can be mounted on vehicle to see the vehicle current location using IRNSS receiver. With IRNSS system, we can replace the GPS system by developing independent navigation system using IRNSS.
Methodology: In this proposed research we intend to develop a handheld device with display showing the latitude and longitude map of a given area, further used for navigation and positioning. The research conduct is followed by field survey, data collection and analyzing of real time raw data received from IRNSS receiver, interfacing of devices like TFT and IRNSS receiver, storage, processing and filtering of received raw data and design of latitude and longitudinal graph, displaying co-ordinates on graph, designing navigation and positioning system.
Outcomes : The team attempted and succeeded with observing the latitude, longitude and altitude values of specific hotspot locations by moving from point to point with IRNSS User Receiver setup carried out during the field survey. The observations noted for each specific location and are plotted on an expected latitude and longitude map. The location values of hotspots by IRNSS is shown on latitude and longitudinal map.
Problem Definition : Medical Images is one of the major concerns of image processing where the efficiency and accuracy both are required at very high level. Lot of work is already done in this area related to medical image segmentation, colorization, abnormality detection etc. Even then because of requirement of high accuracy it is the open research area. Brain tumor is a life threat disease so required high accuracy diagnosis and best treatment
Methodology : The system should be able to process MRI multi slice sequences, it should be able to obtain tumor region with precise boundary from the pre-processed image. The region should be segmented to extract the texture features using GLRCM-CSLBP hybrid texture feature. Classifier should compare and identify the tumor with high accuracy. Finally it should classify the tumor region as malignant or benign
Outcome : Brain tumor detection is very sensitive and difficult task and helps in directing the radiologist for tumor detection. In this work, an effectiveness of two texture analysis method is used for identifying the tissue region of brain tumor. The proposed approach implements a novel procedure which uses a combination of GLRLM and CS-LBP texture feature and ANN classifier for the detection of brain tumor from MRI scan image.
Under a Memorandum of Understanding (MoU) between Space Application Centre – ISRO and Jain University. ISRO has provided 3 NavIC/ IRNSS receivers for experimental research work for the benefit of students and research teams at both Electronics and Communication and Aerospace Engineering departments.
These receivers are capable of receiving data from all the satellites of the NavIC constellations as well as Global Positioning System (GPS) satellites.
The receiver is being continuously operated from JGI campus and recording data 24x7 for various research applications. These data are also being sent to ISRO for their analysis. Further the data are being used for space weather, performance of receiver as well as satellite and weekly reports are being generated and sent to ISRO.
In response to Announcement of Opportunity under the NavIC/IRNSS GAGAN utilization program department of Electronics and Communication Engineering has awarded 4 research projects amounting to more than Rs. 45 Lakhs funding from ISRO.
The projects address several topics in navigation, space weather and remote sensing applications. The overall vision including the receiver and project has stimulated the research capabilities of students at UG, PG and Ph.D levels.
|#.||Project Guide||Project Title||Funding agency||Amount (Rs.)||Period of Project|
|1||Mr. Manjunatha K N||Multi Purpose Smartbin Using IoT: A New Destination To Clean India||KSCST||7000/-||2015-2016|
|2||Mr. Vinay Kumar S B||LI-FI Based Patient Monitoring System||KSCST||8000/-||2015-2016|
|3||Mr. Vinay Kumar S B||Design and Development of Multipurpose Smart Biogas Energizer for Generating Electricity||KSCST||7500/-||2014-2015|
|4||Mr. Vinay Kumar S B||Smart Water Meter||KSCST||5500/-||2013-2014|
|5||Dr. Dushyanth N D||Camera based Color Identification Robot for Typecasting||KSCST||4000/-||2012-2013|
|6||Mr. Sunil M P||Portable Biogas Plant||KSCST||12000/-||2012-2013|
|Total Grants Received||Rs. 44,000.00|
|#||PI||Co-PI||Funding Agency||Project Title||Overall Project amount|
|1||Gayathri K M||Manjula T R, Vasudha M P||SAC-ISRO||Application of IRNSS receiver in GNSS-R reflectometry with specific reference to Ocean, Himalayan ice/snow and land surface.||16,40,000.00|
|2||Ramesh Raju||SAC-ISRO||Differential Positioning Algorithms based on IRNSS||14,40,000.00|
|3||Manjula T R||Gayathri K M, Manjunath K N, Vasudha M P||SAC-ISRO||Study and correction of SAR images for ionosphere scintillation effects at L and S band using IRNSS ionosphere data.||12,90,000.00|
|4||Mohamed Umair Bagali||Dr. Thangadurai. N||SAC-ISRO||Real-time / Near real-time display and mapping of IRNSS-Generated data from a rover||1,98,000.00|
|1||Manjula T R||Dr. G Raju||SAC-ISRO||On Orbit characterization of space borne SAR using ground deployed corner reflector||31,76,000.00|
|1||Neelima N||Vasudha M P, Nathiya O K||SAC-ISRO||Evaluation of L - Band SAR data for soil moisture applications||13,30,000.00|
|1||Dr. Hariprasad SA et.al||An Apparatus and Method Based on Single Coordinate Public Key with one Extra Bit by Using Elliptical Cryptography||TEMP/E- 1/14292/2017 - CHE|
|2||Mr. Dushyanth ND et.al||A System and Method for In-vehicle traffic sign and route indication||2014
|3||Dr. Thangadurai N et. al||Reversible Logic Design For Digital Circuit||Temp/E-1/27737/2017- CHE|
|4||Dr. Thangadurai N et. al||Distillation Of Saline Water Using Ultrasonic Energy Catalysed By Low Temperature Heater With Rapid Evaporation Of Water||Temp/E-1/36707/2017- CHE|
|5||Dr. Thangadurai N et. al||Integrated approach for forest fire and
landslide monitoring using WSN and Navigation Systems
Period of Project
Multipurpose Smartbin Using IoT: A New Destination To Clean India
Li-Fi Based Patient Monitoring System
Design and Development of Multipurpose Smart Biogas Energizer for Generating Electricity
Smart Water Meter
Camera based Color Identification Robot for Typecasting
Portable Biogas Plant
Total Grant Received: 44,000.00
Application of IRNSS receiver in GNSS-R with specific reference to Ocean, Himalayan Ice, and Land surfaces
Ionospheric scintillation study of SAR images
Real time/Near real time display and mapping of IRNSS generated data from a rover
Differential Position Algorithm based on IRNSS
Evaluation of L - Band SAR data for soil moisture applications
RO - ISRO
Total Grant Received: 58,98,000.00