Vijayalaxmi Biradar
@kalingauniversity.ac.in
Incharge IQAC, Electronics and Communication Engineering
Kalinga University, Raipur
Completed PhD in 2016 from GITAM University
Area of Research: Image Processing and Computer Vision, Human Computer Interaction, Geo-Science and Remote Sensing, Embedded Systems, IOT
M.Tech in 2008 from JNTU, Hyderabad
B.E in 2003 from VTU,Belgaum
Presently working as Associate Professor and Incharge IQAC at Kalinga University, Raipur. Total 16 years of Teaching Experience.
Selected as Volunteer for IEEE WIE International Leadership Conference, 2017 held at San Jose, USA.
Selected as Exemplary past Volunteer for IEEE WIE International Leadership Conference, 2018 held at San Jose, USA.
Published 50 Research papers in various reputed journals and conferences.
Received Early Career Research (ECR) grant from Science & Engineering Research Board (SERB), Govt. of India of 26.68 Lakhs.
Received $3,000 from EPICS in IEEE for the Project Titled “Smart Security System for an Orphanage”.
Project Investigator for the project selected for final presentation at R10 IEEE HTC 2019 at Depok I
EDUCATION
Completed Ph.D from GITAM University in the year 2016.
Thesis topic “High Performance and Low Power Driver Fatigue Detection using Image
Processing Technique”, for Ph.D to GITAM University,Vishakapatnam,AP.
Guide: 1. Rani, GITAM University, Vishakapatnam
Ø Completed M.Tech (Digital Electronics & Communication Engineering) from JNTU
Hyderabad in June 2008.
Ø Completed B.E(Electronics & Communication Engineering) from VTU,Belgaum in June
2003.
Ø Received Certification on Big data Engineering with Hadoop & Spark, Data Science
Specialization, Deep Learning, Machine Learning, Python for Machine Learning
from IIT Roorkee.
RESEARCH INTERESTS
Internet of Things
Embedded Systems
Robotics
Image Processing
Computer Vision
Python Programming
AI & ML
FUTURE PROJECTS
Teacher’s Congress- Towards Capacity Building
Empowering the teachers of today, for the citizens of the future. “The true sign of intelligence is not knowledge but imagination” A. Einstein As we are aware that Government of India has come up with New Education Policy (NEP) 2020 and is rigorously working on it to implement in full swing at all levels. There are lot many changes going to occur at school, college and university level education. The main aim of the workshop is to build capacity in teachers participating in the program with the necessary 21st century skills, knowledge and values to enable them implement the program more effectively in their respective institutes. Objectives By the end of the workshop, the participants were expected to have... 1. known what the purpose of education is. 2. known the changing trends in the 21st century and how education can respond accordingly. 3. enumerated challenges they face in implementing the program and 4. come up with mitigations to the challenges in No.3 above. 5. been inspired a
Applications Invited
Received funding from IEEE EAC 2022
Social Ideas Enterprise challenge
The Kalinga University has set up Innovation Cell with the following objectives: 1. To promote awareness about social entrepreneurship among our students as a tool for social action 2. To nurture and guide entrepreneurial initiatives of our students and alumni 3. To act as a resource centre for the social enterprise ecosystem in Raipur through various events, programs and publications. The purpose of this event is to launch Social Ideas Enterprise challenge among undergraduate students across India. This idea challenge event will be a yearly flag ship event of Kalinga University with following objectives: • To provide students from all parts of the country an opportunity to explore social entrepreneurship and share their innovative ideas in a rigorous and competitive manner • To provide a platform for students to shape their ideas through mentorship support and networking with other budding entrepreneurs in the social entrepreneurial circuit The contest will focus on socio-environmenta
Applications Invited
Received funding from IEEE EAC 2022
SMART HEALTH KIOSK FOR RURAL AREAS COMMUNITY HEALTH CENTER
Tele-health monitoring system is an innovative system for improving healthcare system from long distance using IOT. This system creates communication among patients & healthcare professionals. In rural areas, there are Public Health Center(PHC) & in few areas not even one PHC is also not available. Hence it is really difficult to get the treatment of huge number of villagers in rural areas and gather the data.Hence, this system monitors & measures different parameters like pulse, breath rate, oxygen in blood, ECG signals, glucose levels, BP, lung capacity, snore waves, body temperature, etc. using this system. This data is collected & sent to the cloud database in PHC where doctors will monitor the data and able to call for an ambulance in emergency.
Applications Invited
Applied for funding
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Vijayalaxmi Biradar, Anup Kumar Jana, Baswaraj Gadgay, Sarat Chandra Mohanty, Anita Verma, and Vinita Patil
IEEE
This research is to develop a low-cost, highquality factor, low power consumption non-invasive blood-glucose monitoring device. This research work is using microwave resonator sensor because it demonstrates notable variations in the frequency dependence of its s-parameters as a result of variations in the test material's primeval. This has to do with the potential for monitoring blood-glucose variations whenever this substance engages alongside a microwave resonator. Therefore, the goal of this investigation is to create a non-invasive glucometer that can routinely test the levels of blood glucose by utilizing a microwave resonator to quantify the association among blood glucose levels and variations in frequency response. Microwave resonators are taken into consideration because of their characteristics, which include a frequency spectrum of $300\\text{MHz}$ to $300\\text{GHz}$ and a wavelength of $1{{\\ mm}}$ to $1{{\\ m}}$. With regard to the wavelength they have, which allows them to pass through most things with ease, microwaves are utilized.
Subhash Y. Kamdi and Vijayalaxmi Biradar
Springer Science and Business Media LLC
Vidya N. Abdulpur, Vijayalaxmi Biradar, and Mhalskant M Sardeshmukh
IEEE
In order to enhance the energy efficiency of wireless sensor networks, the authors of this research suggest the Nature-Inspired Driven Multiuser Multi Service Scheduling Prootocol (NID-MMSSP). Load balancing is a method used in cloud computing to accomplish the goal of optimum resource use. The load is spread among available resources using a method inspired by natural systems. As a result, a plethora of NID-MMSSP methods are put out to ensure optimal performance. Nonetheless, there is not a comprehensive and exhaustive research examining and investigating the key essential concerns in this sector, despite the relevance of the NID-MMSSP methodologies for tackling the problem of the Nature-Inspired in the cloud environment. Consequently, this study provides extensive treatment of the NID-MMSSP methods used in the field of Nature-Inspired cloud computing. This paper's primary objective is to emphasize the importance of algorithms and the advantages they give in resolving Nature-Inspired problems. Furthermore, the benefits and drawbacks of the NID-MMSSP algorithms have been studied, and their substantial obstacles are taken into account when suggesting new strategies that are more successful at solving the Nature-Inspired issue in cloud settings.
Vidya N. Abdulpur, Vijayalaxmi Biradar, and Mhalskant M Sardeshmukh
IEEE
In order to increase the efficiency with which wireless sensor networks utilise their power, the authors of this research suggest a protocol called Multiuser Multi Service Scheduling Protocol (MMSSP). The emphasis is on the interdependencies between the PHY, MAC, and NET levels of the communication protocol stack. Cross-layer models are built to examine the impact of the PHY, MAC, and NET layers on energy efficiency, and the important properties of these layers are considered in the analysis. The recommended strategies aim to increase energy efficiency without necessitating major shifts from the status quo in terms of standards and practices. This study offers fresh approaches to energy use in an effort to solve these problems. By analyzing prior research, we know that increasing the lifespan of wireless sensor networks requires designing protocols with low power requirements. To address the issue of energy consumption, it is necessary to examine a complete, cross-layered scheme of energy efficiency solutions, since energy-consuming components are dispersed throughout the levels of the protocol stack.
Vijayalaxmi Biradar, Sarat Chandra Mohanty, Anup Kumar Jana, Bigit Krishna Goswami, and Rakesh Marturkar
IEEE
Manisha Hajare, Vijayalaxmi Biradar, and Juberahmad Abdulrashid Shaikh
IEEE
The challenges of Underwater Sensor Networks (UWSNs) have been low bandwidth, high propagation delay, & more energy consumption where have been concerning along routing protocol design for underwater data communication process. Under this paper, novel opportunistic routing protocol proposed to reliable data forwarding under UW-ASNs along aim of improving the Quality of Service (QoS) performance & energy efficiency. The problem of energy-efficient data forwarding has been solved through utilizing the optimum opportunistic route construction algorithm utilizing the Advanced Particle Swarm Optimization (APSO) utilizing the local properties of sensor nodes. The proposed protocol called like Opportunistic Underwater Routing utilizing APSO (OUR-APSO). The APSO based next forwarding relay node selected utilizing the two properties such like Energy Consumption Ratio (ECR) & Packet Delivery Probability (PDP) of neighboring relay nodes. Every neighboring node evaluated based on the outcome of ECR & PDR at the current time & next relay along higher probability value through considering the ECR & PDP has been selected like next forwarder node. The experimental results presented justify the effectiveness of proposed opportunistic routing protocol for UWSNs compared to the existing solutions under terms of energy efficiency, packet delivery ratio (PDR), & communication delay.
Shailesh M. Deshmukh, Vijayalaxmi Biradar, and S. P. Gawande
IEEE
DC and AC electricity charge EVs at the charging station. DC charges quickly, but AC charges slowly. The microgrid has few AC loads but lots of DC quick charging. High harmonic current from several AC and DC conversions will increase power usage and decrease microgrid solidity and richness. Hence, the traditional hybrid AC/DC microgrid that mainly relies on an AC microgrid fails in such conditions. Charging stations powered by a hybrid microgrid may help regulate power flow and reduce transmission losses in today's power grid. Nevertheless, when battery electric vehicles (BEVs) are charged without coordination with the hybrid microgrid, the associated renewable energy sources are not used to their full potential. In addition, a multiport charging facility is part of the growth of new charging stations that is expected to strain the power grid. Our unique hybrid microgrid system for electric car charging stations is proposed as a solution to these problems. To better accommodate electric vehicles (EVs) on the grid, this research proposes and evaluates a novel form of photovoltaics (PV) hybrid DC/AC microgrid for EV charging stations. Components of the proposed model include renewable energy sources, a diesel generator, a PV model, storage devices, linear loads, and non-linear loads (RESs). The effectiveness of the suggested model for electrical car charging stations is shown by the simulation results.
Manisha Hajare, Vijayalaxmi Biradar, and Juberahmad Abdulrashid Shaikh
IEEE
The Underwater Sensor Networks (UWSNs) consists of several sensor nodes along the ability of sensing the underwater information, processing, & transmitting the sensed data towards the remote station through the underwater communication protocols. The key challenges of UWSNs related to the low bandwidth, high propagation delay, & more energy consumption. Most of such challenges have been concerning along the design of routing protocol for under water data forwarding. Under this paper, novel opportunistic routing protocols proposed to reliable data forwarding under UW-ASNs along aim of improving the Quality of Service (QoS) performance & energy efficiency. The problem of energy-efficient data forwarding has been solved through utilization the optimum opportunistic route construction algorithm utilization the Advanced Particle Swarm Optimization (APSO) & local properties of sensor nodes. The proposed protocol called like Opportunistic under water routing utilization APSO (OUR-APSO). Under OUR-APSO, the functionality of relay node evaluation designed utilization the local information such like Node Degree Probability (NDP) along ratio of Energy Decreased & Packet Delivery Probability to connect next forwarder node to enhance the reliability of the network. NDP means the number of neighbours to forward incoming traffic. If there have been only a few relay nodes & all having the low ECR & PDP, then it can lead to network failure. Thus considering the nodes, the next relay node selected basis on outcome probability utilization for ECR, PDP & NDP properties of all neighbouring sensor nodes. The simulation result proves the efficiency of proposed protocol.
Jitendra Bakliwal, Dr.Vijayalaxmi Biradar, and Dr.Navnath Narawade
IEEE
LED lights, powered by an isolated buck converter, are seen as a possible replacement for incandescent bulbs due to their great efficiency and extended lifespan. Since the LED VI properties are temperature dependent, it is important to create energy-efficient LED driver topologies that can provide constant current control. Focusing on power density, multi-string operation, renewable energy usage, soft switching, optical wireless communication, dependability, and size utilising an isolated buck converter, this research covers the main aspects of several LED driver topologies. These topologies are compared and contrasted in terms of efficiency, power output, number of components, galvanic isolation, and switching frequency of the converter. This research examines strategies for enhancing efficiency while focusing on the many factors of predicting the lifespan and reliability of LED drivers. The article will look into the future and make some educated guesses on where certain technologies, such as programmable LED lamp drivers, smart LED lighting for the internet of things (IoT), and wide band gap power semiconductor materials, are headed. Researchers, designers, and engineers may greatly benefit from this in-depth analysis of the technologies available to them as they work to determine the optimal topology.
Vijayalaxmi Biradar, Sarat Chandra Mohanty, Anup Kumar Jana, and Bigit Krishna Goswami
IEEE
Due to India’s rising automobile population, traffic congestion has become a severe problem. The flow of traffic at road intersections is frequently managed by traffic signal control systems. To govern traffic flow, the majority of traffic signal systems are using pre-time and countdown timers. Because of the system’s fixed-time configuration, traffic jams frequently result from the system’s inability to handle unforeseen significant traffic flows. As a result, adaptive traffic lights that can perform monitoring in the real-time are necessary for adjusting traffic-light signals depending on the density of traffic. The present study has accorded a reconciling traffic signal control system which takes pictures of every lane at a junction and controls the traffic in an efficient way using image processing and image matching techniques. At each junction, the traffic density in the photos is compared. As opposed to other less packed roads, the results demonstrate that the vehicles on the densest road are given more time to pass. The traffic level is decreased by utilizing a camera that is rotated by a servo motor to take pictures of the intersection’s whole length. These pictures are then transferred to the Geany software, where a programme counts the amount of pictures and displays traffic light signals.
Shailesh M. Deshmukh, Vijayalaxmi Biradar, and S. P. Gawande
IEEE
Eco-friendly automotive technologies like electric cars have risen in popularity due to the need for a cleaner environment. In addition to the growing number of EVs, charging infrastructure is becoming more crucial. Options for increasing operation and efficiency of the EV charging infrastructure, understanding current EV customers' charging habits are some of the concerns. With RFID (radio frequency identification), users may be identified automatically. This technique employs electromagnetic waves to send and receive data. This study reports on the development of distributed renewable power charging stations for EVs. IEC 61851, 62196, and ISO 15118 are used to develop this. As controller and EV user identification, the designed electric charging station employed ATMEGA8535 microcontroller and RFID. Solar, wind, and battery storage charging stations successfully designed for electric vehicles.
Vijayalaxmi Biradar and G. Durga Sukumar
Springer International Publishing
Vijayalaxmi Biradar, Benjaram Madhusudhan Reddy, and Kiran Kumar Anumandla
IEEE
DM3730 processor is fabricated on single chip Texas Instrument's advanced 45-nm technology with improved performance. ARM architecture provides best Graphics with less power consumption. DM3730 1GHz processor comes in 0.4mm pitch POP (Package on Package) with memory mounted on top of the processor. Debugging at the hardware/software level is necessary for developing an efficient system. Image Processing application requires, Camera, Speakers, GSM module, keyboard, mouse, internet connection for installing required software's, hence hardware debugging is must to test and know the working of these peripherals properly. The hardware/software debugging is the need of the today's industry for proper deliver of the system. In this paper, DM3730 Processor is tested for different peripherals on Linux Platform. This paper is a part of research work on the project “Development of Non-Intrusive Driver Fatigue Detection & Warning System to avoid on road Accidents” sanctioned under Early Career Research Award sponsored by Science & Engineering Research Board, Govt. of India, New Delhi at Vignan Institute of Technology & Science, Vignan Hills, Hyderabad.
Maragatham G and Shobana Devi A
Science Publishing Corporation
Sentiment analysis on Twitter data has paying more attention recently. The system’s key feature, is the immediate communication with other users in an easy, fast way and user-friendly too. Sentiment analysis is the process of identifying and classifying opinions or sentiments expressed in source text. There is a huge volume of data present in the web for internet users and a lot of data is generated per second due to the growth and advancement of web technology. Nowadays, Internet has become best platform to share everyone's opinion, to exchange ideas and to learn online. People are using social network sites like facebook, twitter and it has gained more popularity among them to share their views and pass messages about some topics around the world. As tweets, notices and blog entries, the online networking is producing a tremendous measure of conclusion rich information. This client produced assumption examination information is extremely helpful in knowing the supposition of the general population swarm. At the point when contrasted with general supposition investigation the twitter assumption examination is much troublesome because of its slang words and incorrect spellings. Twitter permits 140 as the most extreme cutoff of characters per message. The two procedures that are mostly utilized for content examination is information base approach and machine learning approach. In this paper, we investigated the twitter created posts utilizing Machine Learning approach. Performing assumption examination in a particular area, is to distinguish the impact of space data in notion grouping. we ordered the tweets as constructive, pessimistic and separate diverse people groups' data about that specific space. In this paper, we developed a novel method for sentiment learning using the Spark coreNLP framework. Our method exploits the hashtags and emoticons inside a tweet, as sentiment labels, and proceeds to a classification procedure of diverse sentiment types in a parallel and distributed manner.
Vijayalaxmi Biradar and D. Elizabath Rani
Springer Singapore
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
GRANT DETAILS
Received total funding of Rs. 50L till now.
Ø Co-Principal Investigator for DST SEED STI-Hub Project “STI-HUB for Income Generation and Livelihood Improvement of Scheduled Caste community of
Yadadri-Bhuvangiri, Telangana”, worth INR 225.7Lakhs. (Waiting for Result).
Ø Principal Investigator for the Project funded by Science and Engineering Research Board(SERB), Govt. of India. “Development of Non-Intrusive Driver Fatigue Detection and Warning System to avoid on road Accidents”, INR 26.68 Lakhs (2017 to 2020).
Ø Principal Investigator for the project funded by IEEE- EPICS (Engineering Projects in Community Service). “Smart Security system for an Orphanage”,USD 3,000 in 2018.
Ø Project Investigator for the project selected for final presentation at R10 IEEE HTC 2019 at Depok Indonesia on 12th – 14th November, 2019. USD 7,500.
“IOT based online Telemedicine system for old age home”.Ø Project received funding from IEEE SIGHT/HAC special call for Covid-19 “Tele Health
Monitoring System in Rural Areas through Primary Health Center using IOT for Covid-19”, USD 5051 in 2020.
Ø Project received funding from Unnat Bharat Abhiyaan “IOT medical kit for rural development”, INR: 25,000 in 2020.
Ø Received Project funding from IEEE CSS Outreach fund “Hands on workshop on IOT Training: Exposing Rural Students to Opportunities in STEM”, USD 10,650 in 2020.
Ø Received Project funding from Unnat Bharat Abhiyaan for “Village Survey”, INR: 50,000 in 2019
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Software:
Python, OpenCV, MATLAB,Scilab,Simulink.
Comfortable with Windows and Linux Operating System
HARDWARE
Ø Beagle Board C4, Beagle Board Xm, BeagleBone, Wandboard, Raspberry Pi, DM6437
and Xilinx 7000 board.
Patents
1. High performance low power (HPLP) computer vision based real-time driver fatigue detection method and alert system
201841020769
2. Real-Time NonIntrusive Driver Fatigue Detection And Alert System
202041044246
Products
1. Hand Gesture controlled Robot
2. Driver Fatigue Detection system
3. Bluetooth Controlled Robot
4. Tele Health Monitoring system
5. IOT medical kit
6. CCTV camera using Raspberry PI
CONSULTANCY
Received Project funding from IEEMA-ELECRAMA- B.Tech and M.Tech Projects worth in 2014.
Received funding from AICTE ATAL for conducting Online FDP on “Wearable Devices”, worth Rs. 93,000 in 2020
1 Sustainable Practices IEEE R10 3 Months USD 100
2 Small and Medium Scale Enterprise IEEE R10 3 Months USD 100
3 WIE Congress IEEE R10 6 Months USD 200
4 Warangal WIE Zonal Congress IEEE WIE R10 6 Months USD 500
5 Imparting Interest in Engineering skills among Rural Girl Students. (IIERGS) IEEE WIE R10 6 Months USD 300
6 WIE National Leadership Conference IEEE WIE R10 6 Months USD 400
7 Insight of Technology or Youngsters IEEE WIE R10 6 Months USD 200
8 Imparting Enlightenment in engineering education in Tribal Girl students IEEE WIE R10 6 Months USD 300
9 IEEE Social Ideas Challenge Approved funding USD 200
10 Workshop on “Teacher Science Holistically: Rural School Teachers” Approved funding USD 150
11 Teacher’s Congress- Towards Capacity Building Approved funding USD 250
12 Development of a video in Hindi Language of IEEE Resume Lab and to build a professional resume Approved funding USD 200
Industry, Institute, or Organisation Collaboration
Foreign Collaborations:
Five MoU's with Foreign universities from USA and Sweden
Completed one research proposal in collaboration with Saint Peter's University, USA
26 students got selected directly for MS programs
Industry:
28 MOU's with Industry from IOT, Robotics, etc.,
Conducted various workshops
Sent students fof internships
Established IOT lab incollaboration with Red Pine Signals
SOCIAL, ECONOMIC, or ACADEMIC BENEFITS
Social:
1 Sustainable Practices IEEE R10 3 Months USD 100
2 Small and Medium Scale Enterprise IEEE R10 3 Months USD 100
3 WIE Congress IEEE R10 6 Months USD 200
4 Warangal WIE Zonal Congress IEEE WIE R10 6 Months USD 500
5 Imparting Interest in Engineering skills among Rural Girl Students. (IIERGS) IEEE WIE R10 6 Months USD 300
6 WIE National Leadership Conference IEEE WIE R10 6 Months USD 400
7 Insight of Technology or Youngsters IEEE WIE R10 6 Months USD 200
8 Imparting Enlightenment in engineering education in Tribal Girl students IEEE WIE R10 6 Months USD 300
9 IEEE Social Ideas Challenge Approved funding USD 200
10 Workshop on “Teacher Science Holistically: Rural School Teachers” Approved funding USD 150
11 Teacher’s Congress- Towards Capacity Building Approved funding USD 250
12 Development of a video in Hindi Language of IEEE Resume Lab and to build a professional resume Approved funding USD 200
13 Principal Investigator for the project funded by IEEE- EPICS (Engineering Projects in Community Service). “Smart Security system for an Orphanage”,USD 3,000 in 2018.