VALAI GANESH S
@ritrjpm.ac.in
Assistant Professor and Department of Mechanical Engineering
Ramco Institute of Technology
RESEARCH INTERESTS
Robotics
Mechatronics
Automation
Artificial Intelligence
Machine Learning
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
S.Godwin Barnabas, K.Arun vasantha Geethan, S.Valai Ganesh, S. Rajakarunakaran, and P.Sabarish Kumar
Agora University of Oradea
The process of handling solid waste becomes complex and tedious due to the urbanization and industrialization of the most developing and developed countries. These solid waste issues if it is not addressed properly it affects ecosystem and environment. There is a possibility of many health-oriented issues especially during the pandemic period covid-19. Most of the human beings are struggling with respiratory pulmonary diseases, asthma caused by these solid wastes. Most of the governments are also spending huge amount of money for labors, devices and some technologies to tackle these solid waste issues. There is also an opportunity for the government to generate revenue from these solid wastes by properly sorting these waste into recyclable, nonrecyclable and bio-degradable wastes. But when humans are involved in sorting these waste it will cause some diseases and hygienic problems. So,in order to address the above said issues in this work the role of modern technologies, algorithms and some Internet of things (IoT) methods are discussed. Implementing these technologies in the future will save huge amount of money spent by the government for the solid waste management activities.
S. Godwin Barnabas, S. Valai Ganesh, V. Sivakumar, P. Muthukumar, A. Dhinesh Raja, and K. Hariharan
Elsevier BV
Abstract Physiotherapy may be a technique for relaxing the stresses in muscles in several parts of the body. This system needs the physiotherapist supervision and a daily visit to the hospitals to be at this system we came with an answer by using simple mechanisms like slider crank mechanism, wiper and rack and pinion mechanism. With the assistance of simple robot, physio treatment is completed automatically and maybe done reception with none assistance. Moreover, Home traction devices have also meant that patients once advised by the therapist regarding the weights and duration of traction treatment are ready to apply traction themselves.
S. Valai Ganesh, Mohit Agarwal, Suneet Kr. Gupta, and S. Rajakarunakaran
Springer Singapore
Recent advancement in smart phones and computing technologies has played a vital role in people’s life. Develop a model to detect the human basic dynamic activities such as Amble, Climb stairs, coming down the stairs into the floor and human basic static activities like Sitting, Standing or Laying using the person’s smart phone and computers are the major work of this paper. Conventional Machine learning models like Logistic Regression, SVC, Decision tree, etc. results are compared with a recurrent deep neural network model named as Long Short Term Memory (LSTM). LSTM is proposed to detect the human behavior based on Human Activity Recognition (HAR) dataset. The data is monitored and recorded with the aid of sensors like accelerometer and Gyroscope in the user smart phone. HAR dataset is collected from 30 persons, performing different activities with a smart phone to their waists. The testing of the model is evaluated with respect to accuracy and efficiency. The designed activity recognition system can be manipulated in other activities like predicting abnormal human actions, disease by human actions, etc. The overall accuracy has improved to 95.40%.
N. Sankarachelliah, V. Rijith Kumar, P. Senthilram, S. Valai Ganesh, T. Selva Sundar, S. Godwin Barnabas, and S. Rajakarunakaran
Springer Singapore
Developing an intelligence system to automatically turn ON or OFF the indicator in automotive (particularly four wheeler) by drawing input from sensors. Almost 50% of drivers failing to use indicators while changing lanes or overtake a vehicle. This leads to vehicle accidents and may cause some serious issues. The proposed system comprises of a steering angle sensor, optical sensor for vehicle detecting and tracking and also incorporates open CV (AI tool) for lane detection and this system is adaptable to the current situation.