Dr. HARIPRAKASH R
@bharathuniv.ac.in
Additional Registrar
Bharath Institute of Higher Education and Research
EDUCATION
1992 -1996: Bachelor of Engineering (Instrumentation & Control Engineering.), BIST University of Madras, Chennai.
2001 - 2003: Master of Business Administration (Marketing Management), University of Madras, Chennai.
1999 – 2001: Master of Engineering (Instrumentation Engineering), Madras Institute of Tech (MIT) Anna University, Chennai.
2008-2012: PhD (Electronics, Communication & Instrumentation Engineering)
RESEARCH INTERESTS
Sensors, Signal and Image Processing, Data transmission, Security in Communication, Energy and Remote Monitoring.
Scopus Publications
Scopus Publications
D. Sivarai, P. D. Rathika, K. R. Vaishnavee, K. Gowtham Easwar, P. Saranyazowri, and R. Hariprakash
IEEE
For Surveillance system, certain parameters must be required in terms of vision to perform in autonomous mode. For continuous monitoring of the environment, live streaming is one of the key parameters. For the smooth operation and movement of the surveillance system, motion detection and human detection are necessary. This proposed work mainly focuses on the implementation of the modules like live streaming, motion detection and human detection to provide the required parameters to the surveillance system through machine vision. For the surveillance system to communicate with the user in a remote place, a user-specific Telegram Bot is proposed in this work.
Ganesan. N, Hariprakash. R, Santhosh. R, and R. Dhanapal
IEEE
Coronavirus is a virus that spreads swiftly sickness that pollutes people's minds, yet there are creatures in like way spoiled thinking about this tainting. The bit by bit People's lives, their thriving, and a country's economy are impacted owing to this dangerous famous disease. In this research work major confront for accurate recognition of COVID-19 infected patients and then dividing them to avoid the society scattering. Proposed hybrid model is trained Conventional neural network (CNN) and Support vector machine (SVM) it helps for exact prediction, hence making a fair and realistic assessment. The predefined DNN classifier and the proposed Hybrid model classifiers are trained and evaluated the model for identifying the better activation functions. The effect of different activation functions on the Premade DNN classifier and proposed CNN Classifiers are compared and analyzed based on the accuracy and average loss obtained. The result and discussion of the proposed model is achieve above 98% outcome across all the performance metrics from the CT images within seconds with high precision which can be a faster option comparing to the usual reverse transcription polymerase chain reaction (RTPCR) technique.
Alexandra Khalyasmaa, Stanislav Eroshenko, Andrey Bramm, Piepur Chakravarthi Teja, and Ramachandran Hariprakash
IEEE
The paper discusses a practical case of creating an autonomous microgrid for remote residential customers power supply. Due to the specifics of the geographic location, the main scenarious, considered within the framework of the study are : distribution network conncetion, creation of a diesel power plant, creation of an autonomous hybrid micro-grid based on wind power plants and energy storage. In the study, a load forecast has been made and a methodology for determining the installed capacity of the main generation sources is presented. According to the criteria of technological efficiency and environmental safety, the option of creating an autonomous microgrid was adopted for implementation.
Alexandra Khalyasmaa, Stanislav Eroshenko, Andrey Bramm, Duc Chung Tran, Piepur Chakravarthi Teja, and Ramachandran Hariprakash
IEEE
The paper describes the methodology for consideration of renewable energy sources in strategic plans of fuel and energy sector development. The inclusion of renewable energy projects in energy development programs is carried out based on the results of an integrated ranking of technical, economic and environmental criteria. For power generation facilities based on renewable energy sources, the energy potential is additionally addressed in accordance with the list of power generation technologies under consideration, which makes it possible to obtain the values of the installed capacity utilization factors, and, as a consequence, to judge on the technological and commercial feasibility of renewable energy projects implementation. The paper provides an example of a ranked list formulation of renewable energy projects for a real regional power system.
Mrunal Khedkar, , G.M. Asutkar, R. Hariprakash, , and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Video transmission over WSN is a challenging task because, video data is inherently huge in size and its transmission requires high bandwidth and processing requires more memory and more power. Presently majority of the research work in this area is focused on improving battery life, optimizing network parameters and increasing energy efficiency. The area of best suitable compression scheme for WSN is rarely being explored. This paper focuses on finding out a suitable compression technique for video transmission over WSN. Wireless sensor network (WSN) is an ad-hoc network of sensor nodes, where each node is able to communicate with every other node in the network in single hop or multi-hop manner. It is a low cost, low power and low bandwidth network with each node having limited battery life and limited memory. In order to overcome these challenges, initially image compression is applied on each frame extracted from given video. To find out most suitable compression technique for WSN, the various existing 2D image transforms like DCT, KLT, Slant, Hartley, Hadamard and DST are compared based upon their energy compaction property. The transform that gives more energy compaction is best suitable for WSN. Thus, after selecting a suitable transform for WSN domain, it is applied to obtain compressed video frames. Zigbee protocol based hardware setup is used for serial transmission of RGB video data frames between the nodes. Different parameters are evaluated for received image frames and transmitted image frames. Experimental evaluation shows that zigbee hardware set up improves the reliability and efficiency of video data transmission. This type of WSN set-up can be used for capturing video in any remote and hard-lying (border, mountains, forest) area, where any other types of networks are not available.
R. Hariprakash, S. Ananthi, and K. Padmanabhan
IEEE
Unattended locations today require detection of any mal-intentional intrusion. Sensors of the Pyroelectric (PIR) or Microwave reflecting (MW) types are commonly available for detecting intrusion by a human. In this paper, a digital video camera is interfaced to a computer, say a simple laptop, which has provision for wireless USB based Ethernet connection. The program developed monitors a site in view of the camera and positively detects an intrusion by video frame based evaluation. A novel and sensitive algorithm for detection of motion from video frames is based on integrating the pixel intensities in successive finite difference method over a set of circular and way contour paths in the field of view of the camera. The proposed method is very fast compared to area pixel methods thus far available. The detected intrusion and its location within the scene are instantly messaged through the wireless cellular network adaptor, such as the “Tata Photon” using a simple “Compaq” laptop. The image itself follows the detection. Thus, this method is cheaper than the expensive sensing devices based on MW or PIR.
P. Dini, M. Hoffmann, Klyuev, J. Noll, R. Hariprakash, F. Petersen, M. Bruti, K. Cheng, R. Falk, Ashok Kumar V,et al.
IEEE
R. Hariprakash, S. Ananthi, and K. Padmanabhan
IEEE
The paper deals with security implementation in remote unattended sites which employ sensor systems using versatile communication methods. The principles of security management are outlined. Then, the paper discusses some improvements in the methods for transmission of collected data and images in such areas to the remote monitoring site through wireless communication. Herein, data transmission without errors is important so as to avoid mistakes in understanding insecurity levels. While spread spectrum communication is a choice, additional encoding of the data for secrecy is a requirement. A method based on wavelets is useful for this purpose. Encoded data could be transmitted through frequency hopped spread spectrum communication.
R. Hariprakash, G. Venkat Ramu, T. Rajakumari, S. Ananthi, and K. Padmanabhan
IEEE
Security systems for home or industry have a lot to perform today and the data collection and fusion demands careful processing and discerning of security problems. The paper examines signals that are created to perform multiple surveillance systems through a common remotely monitored system. The problems of data detection without errors becomes important to avoid falsely discerning insecurity levels. The paper examines methods for this. Among this is considered the technique for encoding using the Hilbert Transform. This works better with Doppler based security sensors with lesser extra bits of transmission for error free reception at the monitoring computer station.
G. Venkat Ramu, R. Hariprakash, K. Visalakshi, S. Ananthi, and K. Padmanabhan
IEEE
Without building new technology and involved hardware circuit boards, how to develop industrial artificial neural network (ANN) based robotic projects for enterprises is explained with special reference to GSM cell and robotic models. In the process of training to develop enterprise robots, one has to make use of all possible resources. Without the need for development of new circuits or methodology, existing devices, components and services can be used to develop a standard robotic project. There are many examples like traffic control, agricultural plantation and adaptive surveillance. The groundwork of technology for the above robot data collection and control is elucidated and schemes using simple readily available hardware for easy and quick rigging up of robotic systems is the theme of this paper.
S. Ananthi, R. Hariprakash, V. Vidya Devi, and K. Padmanabhan
IEEE
Secure communication has a wide range of interesting techniques. Here, a wavelet decomposed data communication packet is used, whose advantages are described. The problems of wide spectrum noise-based jamming, by hostile elements is counteracted. For this, several wavelet coefficients of a data packet are transmitted in non-harmonically related spread frequencies. The reconstruction of the wavelets, despite noisy detection at the received end, is shown to be better, typically for test data packets. The number of frequencies and the coefficients can be varied to suit the detection error limits. Several wavelets have been tired for this purpose and testing has been done even with image data. The results are found to be useful and interesting.