Discrete-Point Control Based Adaptive Active Noise Regulation System Implementation Using Deep-Learning Regression Techniques
SIGNAL PROCESSING
The objective of the project is to apply deep learning techniques to optimize the performance of active noise control systems so as to provide a user adjustable control for acoustic noise ingress within a particular region (quiet zone) by estimating noise levels through discrete point measurements in and around the control region, and optimizing the location and spectral characteristics of anti-noise sources in order to achieve the best results.
Budget Allocated: ₹ 15 lakhs
Duration: December 2021 to December 2024
Principal Investigator: Dr. Biranchi Narayan Rath, Senior Assistant Professor, Silicon Institute of Technology, Bhubaneswar.
Mentor: Dr. Debi Prasad Das, Principal Scientist, CSIR-IMMT, Bhubaneswar
Design and development of a metal-packaged FBG sensor for the monitoring of cracks in civil applications.
Investigators: Dr. Ambarish G. Mohapatra, Principal Investigator, Dept. of EIE, SiliconTech Bhubaneswar, Dr. Kamalakanta Satpathy, Co-Principal Investigator.
Fibre Bragg Grating (FBG) are used as passive optical sensors in various purposes like Structural Health Monitoring (SHM), biomedical and chemical sensors, sensors in aerospace applications where EM radiation may create abnormalities during measurement. These FBG sensors are primarily sensitive to the effect of strain on the grating region. The proposed project work is based on the packaging of a FBG sensor element using suitable metal and polymer which can be used in civil engineering applications.
Design Approach:
- Design of the FBG Sensors is completed and is tested in the laboratory condition which is giving promising results.
- Further testing and design improvements are underway for industrial applications.
Studies on the convective heat transfer in Nanofluids
COMPUTATIONAL FLUID DYNAMICS
Investigator: Dr. Kamalakanta Satpathy
The Brownian motion of the nanoparticles in nanofluid is one of the potential contributors to enhance effective thermal conductivity. The mechanisms that might contribute to this enhancement are the subject of considerable discussion and debate. Towards this, the mixing as well as other hydrodynamics and thermal effects associated with the Brownian motion in the nanofluid will be numerically studied.
Numerical Approach:
- CAD design of the numerical model has been completed.
- The study of heat transfer analysis is under investigation.
Real-time Dark Image Enhancement in the Presence of High Intensity Optical Sources for Better Night Driving Performance, 01 Jan – Present, 2021
IMAGE PROCESSING
The project aims to develop an algorithm which can not only enhance the dark regions of an image but at the same time effectively manipulate the local contrast of the bright regions for proper overall enhancement of an image without any significant loss of original information.
Budget Allocated: ₹48,600
Duration: January - June 2021
Principal Investigator: Dr. Aditya Acharya, Associate Professor, Dept. of Electronics and Communication Engineering
Co-Principal Investigator: Mr. Nihar Ranjan Panda, Assistant Professor, Dept. of Electronics and Communication Engineering
Design of Grid-Connected Inverter
POWER ELECTRONICS CONVERTER DESIGN
POWER SYSTEM ENGINEERING
Grid connected inverters are the necessities of the present power system as the integration of renewable energy is increasing. Grid connected inverters will provide a mechanism to integrate the DC power produced by wind, solar and various other resources, which can be connected with storage like batteries, into the AC power system.
Budget Allocated: ₹38,000
Duration: June - December 2021
Principal Investigator: Dr. Rajan Mishra, Assistant Professor, Dept. of Electrical and Electronics Engineering
Co-Principal Investigator: Mr. Jagadish Patra, Assistant Professor, Dept. of Electrical and Electronics Engineering & Dr. Tapas Kumar Maji, Assistant Professor, Dept. of Electrical and Electronics Engineering
Energy Monitoring System of Silicon
POWER SYSTEM ENGINEERING
Scheduling of power for different sources is vital for the economic operation of the grid. This project aims to provide an effective means to monitor the load consumption pattern of any system online from any location. Objective of the project is to create a smart energy meter with internet connectivity for real-time monitoring.
Budget Allocated: ₹21,000
Duration: October 2019 to February 2021(Completed)
Principal Investigator: Dr. Rajan Mishra, Assistant Professor, Dept. of Electrical and Electronics Engineering
Co-Principal Investigator: Dr. Ramaprasad Panda, Additional Professor, Dept. of Electrical and Electronics Engineering & Dr. Tapas Kumar Maji, Assistant Professor, Dept. of Electrical and Electronics Engineering
Characterization of FBG sensor and preliminary interrogation technique.
FIBRE OPTICS SENSORS
The proposed work has two objectives. The first objective is to design and develop a suspension bridge model. The second objective is to develop a GUI based approach to visualize the strain and deformation profile of the suspension bridge using FBG sensor data.
Budget Allocated: ₹50,000
Duration: September 2018 to March 2019 (Completed)
Principal Investigator: Dr. Ambarish Gajendra Mohapatra, Senior Assistant Professor, Dept. of Electronics and Instrumentation Engineering
Co-Principal Investigator: Mr. Tarini Ch. Mishra, Assistant Professor, Dept. of Computer Science and Engineering
‘SAYAS’ – A Real Time Cloud-Based Bus Management System Using IoT
INTERNET OF THINGS
This project aims to help our students and staffs to get the location of another college bus which passes through the nearby area, they will be able to get the real-time location of the bus and also the expected time of arrival along with notifications of bus arrival and notification to the parents about their child leaving and entering in any of these buses.
Budget Allocated: ₹40,000
Duration: July 2017 to December 2018 (Completed)
Principal Investigator: Dr. Samaleswari Prasad Nayak, Assistant Professor, Dept. of Computer Science and Engineering
Co-Principal Investigator: NIL
Wireless Sensor Network (WSN) Design for Precision Agriculture
We have successfully acquired soil MC and environmental temperature, humidity, light intensity data using zigbee based WSN platform. More analysis on hardware performance like current consumption, battery life have to be done. Also the interconnection with DSS mechanism has been studied for irrigation control. This work is also focused on large agriculture data classification, analysis and prediction for better farming using smart DSS.
Some of the research goals achieved in this project are:
- a distributed network of sensors for accurately sensing the plant growth activity and environmental conditions, and plant growth control actuators;
- ontology-based decision support mechanisms that associate sensor data with actuator commands;
- a machine learning process for enhancing plant state diagnosis based on logged data; and
- a set of tools that facilitate the specification of applications and the visualization of measuring parameters and assessed states.
Duration: 2014–2015
Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.
Smart Eye software for Monitoring and Control of Plant Conditions
This method provides an accurate, and rapid tool to estimate leaf area from digital images. This tool’s ability to separate leaf pixels from various backgrounds also allows it to be used for leaf area and crop canopy measurement without masking soil or relying on infrared images to distinguish leaf area from background soil. This will significantly improve rapid screening of large plant collections.
The accuracy of this software was very high even with a commonly available camera phone, but care must be taken to avoid perspective and lens distortion.
The time required using traditional methods (flatbed scanner and Image analysis) is about 5 min for capturing an image and about 3 min for analyzing leaf area. Using a digital camera and this method required less than 5 s for capturing an image and less than 60 s for analyzing leaf area.
Duration: 2014–2015
Sponsoring Agency: Silicon Research Promotion Scheme (SRPS) scheme sponsored by Silicon Institute of technology, Bhubaneswar, India.
2021 
