PRADYUMNA G R
@nmamit.nitte.edu.in
Assistant Professor
Nitte Mahalinga Adyanthaya Memorial Institute of Technology
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
G. R. Pradyumna, Roopa B. Hegde, K. B. Bommegowda, Tony Jan, and Ganesh R. Naik
Institute of Electrical and Electronics Engineers (IEEE)
The Internet of Medical Things (IoMT) is the subset of the Internet of Things (IoT) that connects multiple medical devices, collect information/data from devices, and transmits and process data in real-time. IoMT is crucial for increasing electronic device accuracy, reliability, and productivity in the healthcare industry. IoMT has emerged as a next-generation bio-analytical tool that converges network-linked biomedical devices with relevant software applications for advancing human health. Adapting IoMT and associated technologies has fixed several problems using telemedicine, remote monitoring, sensors, robotics, etc. However, adopting IoMT technologies for a large population is challenging due to extensive data management, privacy, security, upgradation, scalability, etc. Although significant research has been carried out in this domain, identifying emerging trends and highlighting the technological advancement and challenges within IoMT is required for its success. Moreover, it will aid policymakers, scientists, healthcare practitioners, and researchers to measure the pertinence of IoMT in healthcare sectors more efficiently. This review discusses the evolution of IoMT, Machine Learning Integration, Security, and interoperability challenges of IoMT devices.
Shailendra S, Joshil Melita Saldanha, Pradyumna G. R, Bommegowda K. B, and Roopa B. Hegde
Deanship of Scientific Research
K.C. Narendra, G.R. Pradyumna, and Roopa B. Hegde
CRC Press
Durga Prasad, Vidya Kudva, Ashish Singh, Roopa B. Hegde, and Pradyumna Gopalakrishna Rukmini
Begell House
The present-day healthcare system operates on a 4G network, where the data rate needed for many IoT devices is impossible. Also, the latency involved in the network does not support the use of many devices in the network. The 5G-based cellular technology promises an effective healthcare management system with high speed and low latency. The 5G communication technology will replace the 4G technology to satisfy the increasing demand for high data rates. It incorporates higher frequency bands of around 100 MHz using millimetre waves and broadband modulation schemes. It is aimed at providing low latency while supporting real-time machine-to-machine communication. It requires a more significant number of antennas, with an average base station density three times higher than 4G. However, the rise in circuit and processing power for multiple antennas and transceivers deteriorates energy efficiency. Also, the data transmission power for 5G is three times higher than for 4G technology. One of the advanced processors used in today's mobile equipment is NVIDIA Tegra, which has a multicore system on chip (SoC) architecture with two ARM Cortex CPU cores to handle audio, images, and video. The state-of-the-art software coding using JAVA or Python has achieved smooth data transmission from mobile equipment, desktop or laptop through the internet with the support of 5G communication technology. This paper discusses some key areas related to 5G-based healthcare systems such as the architecture, antenna designs, power consumption, file protocols, security, and health implications of 5G networks.
Marita Miranda and G. R. Pradyumna
IEEE
Indoor navigation is favorable for every person, and is exclusively essential for the visually challenged. The proposed method uses Light-Fidelity (Li-Fi) technology for transmission of the information. Li-Fi is apt for high-density wireless data exposure in restrained regions that are free of hindrances. Li-Fi is a progressing branch of Optical Wireless Communication and can give greater data rate transmission laterally with the proficiency to employ surplus users since it uses a spectrum bandwidth of wider-range.
Rahul Vijay Soans, G.R. Pradyumna, and Yohei Fukumizu
IEEE
Automation has led to the growth of industries in recent years. For better performance of industrial process automated machines are used. Image processing has led to advancements in applications of robotics and embedded systems. Sorting of objects are usually done by humans which takes a lot of time and effort. Using Computer Vision techniques, a conveyor belt system is developed using stepper, servo motors and mechanical structures, which can identify and sort various objects. This reduces human effort, time consumed, and also improves the time to market the products.