Rajendra Prasad P
@msrit.edu
Assistant Professor, Department of Electronics and Communication
Ramaiah Institute of Technology, Bangalore
Dr. Rajendra Prasad P (S’10–M’12–SM’21) has a career spanning over twelve years in the field of engineering education. Pursued his Ph.D. from Visvesvaraya Technological University, Belagavi in the domain of wireless communication during 2016-2021. His M.Tech. degree in Digital Electronics & Communication from M.S Ramaiah Institute of Technology in 2010. His B.E. degree in Electronics and Communication Engineering from Vijayanagara College of Engineering, Bellary in 2008. One patent grant, and published more than 36 technical papers related to the domain wireless communication, networking mobile ad-hoc networks in the reputed international Journals, International/National Conferences. Performed as a reviewer for journals including IEEE Transactions on Mobile Computing, IEEE Access, Elsevier, MDPI and for many IEEE international conferences. Also Jury member for ‘Smart India Hackathon, 2019’.Jury member and chair for the Toycathon-2021. Top Cited Article 2020-2021 in WILEY.
EDUCATION
Ph.D. from V.T.U. Belagavi during 2016-2021 in the domain of Wireless Communication.
M-Tech from V.T.U. Belagavi during 2008-2010 in the domain of Digital Electronics and Communication
B.E. from V.T.U. Belagavi during 2004-2008 in the domain of Electronics and Communication
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Artificial Intelligence, Engineering, Computer Networks and Communications
Scopus Publications
Scopus Publications
Rashmi Priyadarshini B. K., Anil Kumar H. L., Rajendra Prasad P., Saikeerthika K., and Malavika S.
Wiley
ABSTRACTMono‐pulse antennas in radio detection and ranging (RADAR) has been a significant focus. The accurate localization and tracking of targets remain fundamental challenges in various RADAR applications. This paper introduces a cutting‐edge X‐band mono‐pulse comparator (MPC) designed for exceptional tracking performance. The precise target tracking system lies the eight‐port mono‐pulse comparator. Its four input channels—sum, azimuth difference, elevation difference, and a guarded port—feed into a sophisticated network that generates four output channels: sum, azimuth, elevation, and a termination port. This high‐bandwidth design enables the MPC to deliver accurate angle measurements, ensuring effective target tracking. The inclusion of a mono‐pulse antenna in the design proves instrumental in reducing side lobes, contributing to improved tracking accuracy. The high‐bandwidth MPC demonstrates superior target azimuth measurement compared to angular position estimation. When integrated with an active antenna array unit, the MPC achieves exceptional performance metrics, including a side lobe of better than –30 dB and a null depth exceeding –50 dB. This high‐bandwidth mono‐pulse comparator excels in providing a return loss or voltage standing wave ratio surpassing –10 dB across a bandwidth of over 1 GHz.
P Rajendra Prasad and S J Sampreeth
IEEE
P Rajendra Prasad and G M Sudarshan Dixith
IEEE
C. G. Raghavendra, Ashwin Alex George, and P Rajendra Prasad
IEEE
Rajendra Prasad P and Roshan Zameer Ahmed
Wiley
SummaryArtificial intelligence (AI)‐based wireless sensor network technology is the future of advancement for real‐time applications. With AI wireless sensor network technology, it is possible to collect data from any environment, analyze in real time, and use it to optimize processes and operations. AI wireless sensor network technology provides an unprecedented level of accuracy as well as the ability to detect even the slightest changes in a given environment. The AI‐based approach uses clustering‐based techniques with self‐organizing map (SOM) for energy conservation in resource‐constrained networks. By clustering the network, it becomes more energy efficient, as data can be shared among members of a cluster without needing to be transmitted across multiple nodes. The proposed AI cluster‐based routing approach outperforms in terms of energy consumption and computational challenges of the network. The results obtained demonstrate the proposed approach to achieve lower energy consumption than the existing algorithms while providing the same level of performance in terms of throughput and latency, as well as a comparison with traditional justification techniques.
Rajendra Prasad P and Navaneeth N
IEEE
In this proposed work, a new strategy for improving data security is presented. This approach makes use of multilayer Linear Feedback Shift Register (LFSR) cryptographic algorithms. The purpose of this approach is to reduce the widespread risk of data hacking. The One Time Pad (OTP) algorithm, which was created within a multilayer framework, is included in the suggested system. This algorithm is responsible for regulating the transmission of signals within the mode of communication. Seed values are obtained from a Pseudorandom Noise (PN) sequence that is created by a basic polynomial. These seed values are used to initialize the functionality of the One-Time Password scheme. As an additional point of interest, this research investigates the analysis of single-layered LFSR cryptography and compares it to a cascaded LFSR encryption approach to assess the effectiveness of preserving digitized data. Within the scope of LFSR cascaded cryptography, authentication key generation circuits that cater to varied degrees of bit handling in data communication systems are designed. This makes it possible for robust encryption and decryption operations to be carried out. The cascaded multilayer cryptography system is subjected to a comprehensive analysis to determine whether or not it has the capability of enhancing data security. Evaluation parameters spanning operating frequency, power consumption, latency, and memory utilization illustrate the applicability of this technique for the creation of modern network-based applications.
Sampreeth S J and Rajendra Prasad P
IEEE
In this paper, a better enhancement technique for lane and paint sign detection under harsh noisy sunlight conditions are implemented in Verilog HDL. The image enhancement technique proposed can be used in real-time feature extraction for road lanes and paint signs. The design module uses thresholding techniques to highlight pixels that define the lanes and signs. The method of inverting an image is used to generate grayscale images in this design, and is pipelined with the thresholding technique. The failure in attaining maximum efficiency resulted due to reduced noise detection percentage. The noise can be any form; one example can be of sunlight creating a pattern of exposure levels in an image frame. The model designed in this paper has improvements in the detection of these noises and eliminating them to finally have only important pixels required for detection. The model is verified for errors and tested under different conditions to predict the best threshold values to choose, depending on the environment conditions.
Dilip Kumar Choudhary, Tanweer Ali, Rajendra Prasad P., and Roshan Zameer Ahmad
Begell House
This manuscript describes two- and three-element small-scale multiple-input multiple-output (MIMO) antenna configurations for 5G communications ranging from 23.5 to 28.6 GHz. Modern device antennas have two essential features: isolation and a larger bandwidth. In this regard, firstly a single element antenna has been designed using quarter wavelength impedance transformer and semi-circular loaded patch along with defected ground structure. Furthermore, two single-element antennas are placed orthonormal to each other having quarter wavelength distance from the center of the single-element antenna. To increase the bandwidth and isolation, additionally a rectangular patch and strip isolate from ground. This structural change alters the current path, improving the impedance matching and isolation of the two-element MIMO antenna configuration. After that the three-element MIMO configuration was formed by placing two single-element antennas orthogonally at quarter wavelength from the center of the single-element antenna. The total size of two- and three-element MIMO antenna is 15 × 11 × 1.6 mm and 20 × 11 × 1.6 mm, respectively. The proposed MIMO antennas provide isolation of more than 21 dB and gain more than 25 dB throughout the working band. MIMO diversity features function reasonably well, with an envelope correlation coefficient of less than 0.002 and diversity gain of 10. Proposed antennas can be a good candidate for MIMO applications in the 5G communication frequency range 2 (FR2), 28 GHz bands.
Rajendra Prasad P, Sadashiva V Chakrasali, M. Nagabushanam, V Nuthan Prasad, and Shashank H N
IEEE
Delta sigma modulation (DSM) is a prominent technique in both analog-to-digital conversion (ADC) and digital-to-analog conversion (DAC), known for its ability to achieve high resolution and dynamic range while maintaining low power consumption. This paper introduces a novel implementation of delta sigma ADC and DAC converters aimed at enhancing high-resolution analog signal processing applications. Leveraging advanced delta sigma modulation techniques, the design and implementation of the converters are outlined, emphasizing oversampling, noise shaping, and decimation strategies to achieve superior performance. The ADC stage employs delta sigma modulation to encode analog signals into high-resolution digital format while mitigating quantization noise through noise shaping techniques. Following the ADC stage, the paper explores the reconstruction process in the DAC stage, focusing on inverse delta sigma modulation techniques to faithfully reconstruct the analog signal from digital data. Design considerations such as digital filter design, quantization error compensation, and signal-to-noise ratio optimization are addressed to ensure accurate signal reconstruction. Results highlight significant improvements in signal fidelity and noise reduction compared to conventional ADC-DAC systems. This work represents significant advancements in high-resolution analog signal processing systems, promising enhanced performance and reliability in various real-world applications including telecommunications, audio processing, and sensor interfaces.
Rashmi Priyadarshini B K, Rajendra Prasad P, Mrinal Sarvagya, Banothu Naresh, and Ravi Kumar M G
IEEE
Thermopile detector arrays, integral to infrared sensors, find widespread application in temperature measurement and thermal imaging. This paper introduces a novel approach by designing dedicated readout electronics for thermopile detectors, aiming at their characterization for space applications, specifically in a safe mode earth sensor. The proposed system employs a reprogrammable Field Programmable Gate Array (FPGA) for implementing the readout electronics, encompassing tasks such as extracting raw pixel data from the detector and configuring the sensor for different parameter settings. The safe mode earth sensor, crucial for spacecraft attitude determination, provides 2-axes attitude referencing Earth in the pitch and roll axes. Leveraging thermopile-based earth sensors, the system detects Earth edges in the IR band, facilitating the calculation of roll and pitch angles. The compact design makes it particularly suitable for deployment in Micro-Satellites and other satellites as a safe mode sensor. The readout electronics and data acquisition system play a pivotal role in evaluating, characterizing, and screening thermopile detectors, ensuring their suitability for deployment in safe mode earth sensor applications. This integrated approach not only enhances the efficiency of thermopile detectors but also opens avenues for their broader application in space-based sensing systems.
Rajendra Prasad P, Kushagra Singh, Satyam Satyarthi, Prasoon Pandey, and Pranav Jyotishi
IEEE
A major danger to road safety, drowsy driving is a prominent cause of accidents globally. Drowsy driving is thought to be the cause of 100,000 crashes in India each year, accounting for 1,550 fatalities and 40,000 injuries. We suggest a comprehensive system that blends sound, seat vibration, and a brake mechanism to identify and prevent cases of drowsy driving in order to solve this problem. To determine the driver's level of wakefulness, the system uses sophisticated monitoring techniques, such as analysis of the driver's eye movements and head posture. Early indicators of drowsiness are recognized by the system, which then activates numerous alerts, including an alarm, seat vibration, and braking, to quickly warn the driver and prevent accidents. We carried out experiments using carefully chosen datasets from Kaggle, which cover a range of driving conditions, to assess the efficacy of the proposed method. We also cite a study by the National Highway Traffic Safety Administration, which found that using a similar sleepy driving detection technology significantly reduced the number of drivers falling asleep at the wheel by 45%.
Rashmi Priyadarshini B K, Sumanasa B N, Rajendra Prasad P, Mrinal Sarvagya, and Ravi Kumar M G
IEEE
The inclusion of Bit Manipulation Instructions (BMIs) has become more and more important as embedded systems continue to demand optimum performance together with a good energy economy. Although BMIs have been adopted by x86 and ARMv8 architectures to improve runtime efficiency and reduce power consumption, the RISC-V platform-which is preferred for its adaptability in embedded applications-has not been as successful in this area. Ten improved BMIs designed specifically for the RISC-V Instruction Set Architecture (ISA) are proposed in this work to close this gap. We synthesized a superior RISC-V architecture for the Zynq Board FPGA and TSMC 3nm platforms implementing the TSMC 3nm cell library. Initial assessments of software also show conceivable enhancements, especially in power-hungry and time-consuming cryptographic applications. Our work draws attention to low cost and power consumption while the principles of high performance and security prerequisites therefore deal with the urgent need for energy-efficient computing solutions in consumer electronics with the introduction of these advanced BMIs. By adopting the built-in benefits of RISC-VISA in conjunction with customized BMI extensions, we offer a feasible plan for the development of effective embedded systems that provide more computing power.
P. Rajendra Prasad, Roshan Zameer Ahmed, Chethan Raju Lingamurthy, A. M. Chaitra, and H. R. Deepak
Springer Nature Singapore
Roshan Zameer Ahmed, Rajendra Prasad P, Mohan Kumar M, Nischith Raj K G, Prajwal Hegde, and P Ganesh
AIP Publishing
Traditional energy sources are progressively moving toward depletion, resulting in a growing scarcity of energy driven by demand. In contrast, the realm of acoustic energy harvesting remains relatively unexplored, particularly within enclosed environments. In this work, we proposed a novel piezoelectric energy harvesting system, enhanced with various circuit components such as operational amplifiers and voltage quadruplers. Piezoelectric transducers are a type of electro acoustic transducer that convert the electrical charges triggered by some forms of mechanical vibrations like sound into energy. The core of the system relies on the utilization of piezoelectric technology to transform untapped sound energy into electrical energy. This innovative energy harvesting approach holds the promise of enhancing the quality of sound conditioning within enclosed spaces. Furthermore, the proposed methodology serves to mitigate the risk of noise-induced trauma, which has the potential to cause detrimental long-term effects. It is also cascade into a transformative trajectory, offering sustainable energy harvesting avenues and fostering the amelioration of soundscapes within the tapestry of confined environs. The observations made increased the efficiency of the system by 6%, and the range is increased four times. In our experiments, we obtained a higher voltage of around 12 V for a theater setup with sound levels between 70 and 90 dB, which surpasses the existing results.
P Rajendra Prasad and Roshan Zameer Ahmed
IEEE
Electronic-Voting (E-Voting) system influences the real time with its cost effectiveness and increases the voter turnout at the ballots. Voters can give their vote from wherever they are, also no need to stand and wait for the opportunity. Unlike the electoral system, there are numerous traditional systems, which persist with the usage of ballot paper in its implementation. The issue of protection and transparency is a threat from nevertheless huge elections with the traditional machine (offline). The present ongoing voting technology is not safe enough to conquer the vulnerabilities in large-scale manipulations of votes. Electronic voting must be admissible, precise and secure when used for elections. Because of these issues, it became decided that the existing frameworks want to be stepped forward to be utilized in balloting systems. Block chain technology came into existence to erase all these difficulties. It offers decentralized nodes for EVoting and each vote here has proof of work, so theoretically impossible for voting proxies. Each block of the block chain technology system is hashed and if one of the blocks changes then it automatically changes the adjacent and providing the perfect replacement for the trivial voting system with distributed, nonrepudiation, security protection characteristics. That is why it sounds impossible to break into the network to make changes. Finding those blackholes may change the direction of thinking and it may result in the best outcome. This has afforded a conceptual description of the meant block chain-based digital vote casting utility and an advent to the essential shape and characteristics of the block chain in connection to electronic voting. Because of this examination, it was observed that block chain structures may additionally assist resolve some of the plights that now plague in the election structures.
Rajendra Prasad P, , and Shivashankar Shivashankar
Engineering and Technology Publishing
With recent advances in the field of wireless network or Mobile Ad-hoc Networks (MANETs) technologies, usage of mobile device computing technologies is the fastest growing technology. Formerly in the wired network, telephone and cable companies provide wired access to the devices for homes and offices. Today, the tendency is to move to wireless technology. Effective MANETs come across with numerous difficulties and challenges. If a packet is to travel from one host to another host, it needs to pass through many interconnected networks. The accompanying challenges in the network restrict current protocols from routing in MANETs. Also, balancing energy consumption is the major design issues since nodes have restricted energy, memory, bandwidth etc. Thus, the main objective of this research is to design an energy efficient protocol to minimize the energy consumption in MANETs. The main contribution of this research work includes the development of the new routing protocol called Energy Aware on Demand Routing (EADR) protocol for MANETs. This routing protocol approach is to build the new route discovery by evaluating energy consumption, packet loss, throughput and network lifetime. The protocol identification of the new route path by selection of the nodes which have the minimum energy threshold valves for its path to reach the intended destination node in network. The algorithm evaluates in minimizing the packet loss, energy consumption that increased throughput and network life time.
Rajendra Prasad P, Roshan Zameer Ahmed, and Ashwin Kumar R S
IEEE
There is a requirement of upgrade the current method of meter reading to smart meter reading which can save man power and increase accountability of utility data. When the meter is automated to measure utilities such as electricity, water and pipelined gas that may encounter certain challenges while routing the data from source to base station. To overcome these challenges, hence proposed a data aggregation algorithm along with efficient routing method which reduces the energy consumption and delay introduced in the network and increases the network lifetime. The reliability of data transmitted through smart utility network using wireless sensor network is increased by can elevating the quality of service offered to the people. If replaced smart apartment management with conventional techniques of meter reading and utility management, which can predict demand, understand usage of utilities, effective billing and management of these utilities. The data collected from each house can later be used for data analysis.
Rajendra Prasad P, Varun E R, and Roshan Zameer Ahmed
IEEE
An area efficient and less computation delay least-mean-square (LMS) adaptive filter is proposed in this research work. A new time-shared design without a look-up table (LUT) is implemented for a LMS adaptive filter (ADF). The suggested method uses a single multiplier to initially calculate each filter partial product of FIR filter and then used for computing coefficient increment term utilizing a time-shared architecture for LMS ADF. Weights are incremented by using LMS algorithm. Technique is to use single multiplier during one half cycles for one purpose and again in the second half cycle for another purpose. The symmetry between the odd-multiples is then used to suggest a unique Look-up Table less (LUT-less) multiplier. Efficiency of LUT-less multiplier is compared with implementing LUT based multiplier, and both are compared in terms of area and timing. The offset terms are added using an adder tree because of the symmetries between the odd multiples. Even multiples are generated just by shifting left (multiplication) and shifting right (division) of the given number. This design is coded in verilog HDL, simulated in Modelsim and synthesized in Xilinx ISE tools. From the results it is observed that proposed design will use approximately half the area compared to conventional design with efficiently increasing the operating speed.
Rajendra Prasad P. and Shiva Shankar
Bentham Science Publishers Ltd.
Introduction: The aim of securing energy routing protocol was to provide the countermeasures to the attacks, particularly to the black hole in a mobile ad-hoc network, and enhancing the network performance metric throughput, also reducing the end-to-end delay between the nodes in the network. To build the protocol that enhances the performance of the network by modifying the existing DSR protocol and by introducing a new route discovery mechanism in the proposed protocol. Methods: The proposed protocol implementation has two phases, route request/reply phase and route confirm phases. During the route discovery process, the route discovery from the source to the destination process is described by sending the RREQ packet from the source hub, as shown in Fig. 1(a), when it does not have one accessible and cravings a route to a destination. The source node transmits the RREQ to its associate nodes and the destination node reply with RREP. When the source receives a reply message, the source node responds with a reverse path with a confirm RCON message and providing security to the nodes in the network. Results: To verify the performance of the proposed protocol against the existing DSR protocol are compared with respect to various network metrics like end-to-end delay and packet delivery ratio and validated the result by comparing both routing algorithm using Network Simulator 2. Conclusion: The results of the proposed SERP strongly safeguard against the attacks in the network, and the packet delivery ratio is increased compared with the DSR; also, the end-to-end delay is reduced in the proposed protocol. Discussion: Mobile ad-hoc networks are being dynamic in nature; it associates with issues related to secure routing, energy and are generally vulnerable to several types of attacks. The DSR is one of the widely used reactive protocols available for the mobile ad-hoc network and the proposed work enhancing the security of the network in the existing pro.
Sarala T, Shivashankar, Satya Srikanth Palle, and Rajendra Prasad P
IEEE
Wireless power transmission (WPT) is a popular and growing technology that is finding applications in a variety of fields. Wireless charging's primary role is to carry electricity via an electromagnetic field across a specified space, which is beneficial for powering electrical devices where physical wiring is either impossible or cumbersome. The technology operates on the mutual inductance principle. One of the future uses can be found in the automobile sector, particularly in electric vehicles. Because electric vehicles are a superior solution for reducing continuing pollution, it is very impossible to make changes to the battery charging procedure to achieve greater reliability. The primary purpose of this WPT is to transmit power via resonant coupling and to construct charging systems. The systems deal with an alternating current source, a transmission coil, a converter, and an electric load, which is a battery. Charging an electric car battery can be accomplished through plug-in charging at charging stations or through wireless power transmission. WPT, in particular, gives an assessment on how future EV development and wireless charging technologies can be accomplished.
Arjun Kumar GB, Shivashankar, Suni Kumar KN, Rajendra Prasad, Ravi Gatti, and Santosh Kumar S
IEEE
Numerous cattle calves do not return to the sheds after grazing because they become disoriented, resulting in the loss of that specific cattle. If the cattle calves are not counted before and after grazing, it is impossible for the person to manually count them. Cattle calves are sensitive to a range of illnesses/diseases, most of them may reduce the production and quality of milk products and, if not discovered early, could even result in the cattle's death. Diseases have an influence on-farm production, therefore ends up in low production, low income, and low quality. This research work provides a methodology where different sensors and image processing techniques are used to monitor the health of the cattle and alert the user regarding its health condition, also an automated counting system is implemented to count the total number of cattle in the shed.
Santosh S Kumar, Ravi Gatti, Sunil K N Kumar, N Nataraja, Rajendra P Prasad, and T Sarala
IEEE
Communication between the deaf and the common man has always been challenging. Most people in the world who fall into this category are often overlooked by ordinary people. As deaf people they use sign language to communicate in a way that is difficult for ordinary people to understand. To overcome the communication gap with outside world a microprocessor-based Sign Language Interpreter is employed to handle data transfer operations. A Raspberry Pi based microprocessor is used as a compact microcomputer designed to govern the operation of six axis MPU6050., used for the detection of sign language. A triaxial accelerometer is used to detect the tilt of the hand. The flex sensor module is interfaced with the microprocessor through MCP3008 which is an external analog-to-digital converter. The decision making for sending message based on the data received from the MPU6050 and MPU3008. The proposed system is able to convert the different signs into the text and voice message. It is trained for the different symbols and works effecrivcly.
Ravi Gatti, N Nataraja, T Sarala, Santosh S Kumar, Rajendra P Prasad, and Sunil K N Kumar
IEEE
The problem of people with diabetes causes a condition known as Diabetic Retinopathy (DR). It is most common in the elderly age peoples. As diabetes progresses, patients' perceptions may begin to deteriorate and cause DR. People lose their sight because of this disease. To deal with DR, early detection is required. Patients will have to be examined by doctors regularly which is a waste of time and energy. In recent time, number of DR cases are increasing exponentially due the modern stress life style. Therefore, it is necessary to automate the detection and diagnosis process of the DR. In this paper, machine learning (ML) techniques are used to diagnose early DR. These are the Probabilistic Neural Network (PNN), Support Vector Machine (SVM), Bayesian Separation and K-Means Clustering. These methods will be tested and compared with choosing the best method. 3000 images being processed for training and testing. Features are extracted from these fundus images using image processing techniques. After research, the results confirm that SVM is the best way to detect DR early with a higher level of accuracy compared to other classifiers.
Sunil K N Kumar, Arjun G B Kumar, Rajendra P Prasad, Akash R Bhatagunaki, S U Jeevan, and Madhusudan MS Reddy
IEEE
Nowadays sleeping disorder is common among the people who work in metropolitan cities due to stress, pollution which often cause difficulty during sleeping. Diagnosing patients who have obstructive sleep apnea requires lab-based polysomnography, but over the years now more gadgets are available for sleep test. Today's technology has made life easier by offering many intelligent solutions to every problem in society, but when it comes to Sleeping Obstructive Disorder(SOD) still its in the initial stage. With the growing population for every year the number of patients are also increasing day by day. Hence a solution is required to automatically monitor and control the health status of a person. Hence, we proposed an IOT based Sleep Monitoring Device that has features like a fast WiFi module with local storage. The cardiac information is measured with the use of electro-resistive sensors and an accelerometer. In an effort to fix these problems, we've invented a new IOT-ready sleep monitoring gadget, which takes use of a new way of measuring cardiac and respiratory data with polymer-based innovation, and lets us record ECG and accelerometer results with only one lead. The NODEMCU allows the transfer of data in real time using a wireless internet connection, and it does so in line with industry standards.
Arjun Kumar GB, Suni Kumar KN, Rajendra Prasad, Ravi Gatti, Santosh S Kumar, and Nataraja N
IEEE
The traffic management system is one of the important areas in any country for easy travel. In India, communication innovation in the social insurance sector has not yet been sufficiently updated to improve its administrative nature. With the increasing use of communication technology, many countries have implemented electronic card systems. Currently, there is no electronic traffic management system in India other than Digi locker. The goal of this proposed smartcard framework is to improve the efficiency and accessibility of driver and government document verification services. Using the smart card, all driver data, vehicle details, vehicle history, and past vehicle violations can be viewed by authorized parties through one website. Our proposed concept communicates the benefits of secure shipping to India using advances in data and correspondence. Digital profiling enables better tracking and more standardized documentation of drivers and vehicles, potentially reducing errors
RECENT SCHOLAR PUBLICATIONS
GRANT DETAILS
1. Sanctioned RIT Student Project Funding of Rs. 45,000/-. Project Title: "IoT based driver drowsiness detection system with automated vehicle control" for the year 2023-2024.
2. KSCST STUDENT PROJECT PROPOSALS APPROVED FOR SPONSORSHIP for the Project Title: Braille to Voice Converter using Image Processing, Students Name: Chethan Raju Lingamurthy, Chaitra A M, H R Deepak. Grant: Rs. 5,000/- Acd Year:2022-2023
3. VTU Sanction of Financial Assistance to the projects of UG students for the Year 2020-21 “IoT based Monitoring and Generation of Power using Industrial Exhausts Fan”. Grant: Rs. 5,000/-
4. Student Humanitarian Technology Project Funding – 2020 for the project titled “Solar Powered PV Panel Cleaning Robot Using IoT” on 8 April, 2020 from IEEE Bangalore Section. Grant: Rs. 5,000/-
5. Local organizer for the 7 days Faculty Development Program (FDP) for Student Induction Program for AICTE approved institutions organized by AICTE. Date 23/07/2019 to 29/07/2019. Reference Number : F.NO : 11-1/WS-FDP-SI/2019/SWRO, Grant: Rs. 7,35,832.91/-
6. VTU Sanction of Financial Assistance to the projects of UG students for the Year 2019-20 “Design of Driverless Railways Using Li-Fi Technology”. Grant: Rs. 5,000/-
7. Local organizer for the 3 days Faculty Development Program (FDP) for Student Induction Program for AICTE approved institutions organized by AICTE. Date 21 to 23 June 2018, Reference Number : F.No : 11-1/WS-Induction Pgm(FDP)/2018/SWRO, Grant: Rs. 1,65,133/-
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Title of the Invention: Design and Development of Real Time Automated Routing Algorithm for Computer Networks
Patent Number: 2021101685
Patent Grant: 05/05/2021
Abstract: In computer networks, efficient usage of network resources is by logically adapting centralized control where the control plane is decoupled from data plane. Conventional routing strategies rely on manual configuration which results in degraded performance of the network especially Software Defined Network (SDN) suffer from inefficient allocation of bandwidth due to link congestion in data flow. In this invention, we propose novel network architecture driven intelligently for automatic routing. The proposed automated routing algorithm adapts deep reinforcement learning for simulation of human learning knowledge methods for controlling the closed loop mechanism incorporated with technologies for network monitoring for realizing the network environment interaction. This work interacts with network environment for better control decision by adaptive learning. Resource availability and services related are adjusted intelligently by the network based on environmental conditions. Deep reinforcement learning based automatic routing algorithm finds the nearest optimal path in real time network environment hence efficient in routing of computer networks.