Poonguzhali Arunachalam
@sairamce.edu.in
Associate Professor & Head/ECE
Sri Sairam College of Engineering,Bangalore
EDUCATION
B.E ( Electronics and Communication Engineering)
M.E( Communication systems)
Phd(Computer Science)
RESEARCH, TEACHING, or OTHER INTERESTS
Agricultural and Biological Sciences, Computer Networks and Communications
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
S Angel Latha Mary, K. Ulagapriya, A Poonguzhali, R. Menaha, Beaulah David, and T.R. Priyadharshini
IEEE
The necessity of a blueprint of a building structure is a mandatory requirement for any reconnaissance or rescue operations. In our project, we build a modular system combining sensors related to sonar, laser, micro-wave to read sensory values and generate a 2D path of any building. The data is fetched and stored to feed to anOptimal Neural Network (ONN)-based computing system to create a 2D route with minimal discrepancies of error. Here the NN architecture is fine-tuned using Modified Dolphin Partner Optimization (MDPO) Exploration of unknown environments and space using autonomous vehicles has recently gained good attention in the field of Robotic Mapping. The recent advancements in the Internet of Things have enabled us to establish an ideal frame of reference for sonar and lidar-based systems. New effects are displayed by the sensors according to the physical characteristics of a room. The range data from sensors in various surroundings are interpreted by NNs. The distorted errors due to the material medium, particles, and moving objects present in the environment pose a threat to building a high-quality path map. The sensor fusion technique is applied to the rotatable modular array sensor to minimalize discrepancies caused by cloth materials during sonar readings, particle noise in an environment for Lidar reading, and moving human bodies present in the environment for path building and obstacle detection.
S. Tamil Selvan, R. Rajkumar, P. Chandrasekar, A. Poonguzhali, and Karthick Balasubaramaniam
Springer International Publishing
A. Poonguzhali, G. Premalatha, A. Abinaya, R. Thiagarajan, R. Krishnamoorthy, and S. Arun
IEEE
Students could be permitted in using smart phones with context-based handset policy initiatives as they can deactivate those application areas using the camera as well as any handset assets and permissions which students constrain while being in class, whereas the user device could indeed retain all of its original permissions outside of the workplace. Once an app has indeed been granted the required permissions upon deployment, an Android user has no command over its functionality. So, by using cbac mechanism, a new prototype has been initiated on Android, namely Adminio. Adminio app features the control over the access mechanism of the user within gps location. It tracks down the user apps and the admin can able to restrict the user to use the mobile apps within the location. By using certain privileged policies, the admin controls the user such as blocking it. Even after uninstallation, the detach IP can be identified.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
INDUSTRY EXPERIENCE
One year as a production executive in a PCB manufacturing company.