A5088047042- Robotic Path Planning Algorithms
- Metaheuristic Optimization Algorithms Research
- Control and Dynamics of Mobile Robots
- Modular Robots and Swarm Intelligence
- Cloud Computing and Resource Management
- Artificial Immune Systems Applications
- IoT and Edge/Fog Computing
- Energy Harvesting in Wireless Networks
- Optimization and Search Problems
- IoT-based Smart Home Systems
- Evolutionary Algorithms and Applications
- Distributed Control Multi-Agent Systems
- Blockchain Technology Applications and Security
- Advanced Manufacturing and Logistics Optimization
- Distributed and Parallel Computing Systems
- Advanced Vision and Imaging
- Internet of Things and AI
- Advanced Multi-Objective Optimization Algorithms
- Advanced Battery Technologies Research
- Forensic and Genetic Research
- Innovative Energy Harvesting Technologies
- Robotics and Sensor-Based Localization
- Advanced Sensor and Control Systems
- Green IT and Sustainability
- Smart Parking Systems Research
Veer Surendra Sai University of Technology
2015-2025
Indian Association for the Cultivation of Science
2024
Guru Ghasidas Vishwavidyalaya
2015
Institute of Engineering
2010-2012
University of Engineering & Management
2012
Utkal University
2003
Load balancing of tasks on the cloud environment is an important aspect distributing resources from a data centre. Due to dynamic computing through internet; agonizes overloading requests. has be carried out in such manner that all virtual machines (VM) should have balanced load achieve optimal utilization its capabilities. This paper proposes novel methodology among using hybridization modified Particle swarm optimization (MPSO) and improved Q-learning algorithm named as QMPSO. The process...
We examine the distribution and structure of human genetic diversity for 710 individuals representing 31 populations from Africa, East Asia, Europe, India using 100 Alu insertion polymorphisms all 22 autosomes. is highest in Africans (0.349) lowest Europeans (0.297). frequency (0.463) higher Indians (0.544), E. Asians (0.557), (0.559). Large distances are observed among African between non-African populations. The root a neighbor-joining network located closest to These findings consistent...
Abstract Wireless sensor nodes have huge energy demand for their operations; they are deployed in remote locations various applications like weather, industrial, satellite, construction, banking, and medical. Sensor require continuous or uninterrupted power supply during life cycles. When the available renewable sources not sufficient to run system, batteries required deliver a supply. The main focus of proposed model is design develop smart dual battery management system along with hybrid...
Classical Q-learning takes huge computation to calculate the Q-value for all possible actions in a particular state and large space store its actions, as result of which convergence rate is slow. This paper proposed new methodology determine optimize trajectory path multi-robots clutter environment using hybridization improving classical based on four fundamental principles with improved particle swarm optimization (IPSO) by modifying parameters differentially perturbed velocity (DV)...
Internet of Things is an evolving paradigm, which provides a platform to communicate trillion interrelated objects or things with each other. The communication amongst the IoT devices requires enormous energy consumption for sensing, collecting, and transmitting significant information from their environments. Green emphases on energy-saving achieve sustainable safe environment in System. Thus, Efficient Energy Consumption key research area present future. This paper basically covers...
This paper proposes a new methodology to optimize trajectory of the path for multi-robots using improved gravitational search algorithm (IGSA) in dynamic environment. GSA is based on memory information, social, cognitive factor PSO (particle swarm optimization) and then, population next generation decided by greedy strategy. A planning scheme has been developed IGSA optimally obtain succeeding positions robots from existing position. Finally, analytical experimental results multi-robot have...
This paper has given a fresh approach of hybridization invasive weed optimization (IWO) with improved particle swarm (IPSO) to obtain the optimal path for each robot in multi-robots system non-stationary environment. The main emphasis algorithm is lessen length and time taken by all robots arrive at respective destined target cluttered Each takes independent decisions their own evaluate next positions from current position global map using proposed hybrid IWO-IPSO. embedded spatial...
Abstract A mobile robot is an autonomous agent, capable of planning the path from source to destination in both, a known, or unknown environment. In this paper, we presented novel approach find optimal trajectory. We have hybridized oppositional‐based learning (OBL) with evolutionary invasive weed optimization (IWO) technique generate for different robot(s). The navigation algorithm considered work intelligent enough fulfill objective minimizing length and time reach its specified goal....
Abstract The origin and dispersal of Y‐Chromosomal haplogroup O2a1‐M95, distributed across the Austro Asiatic speaking belt East South Asia, are yet to be fully understood. Various studies have suggested either an Indian or Southeast Asian O2a1‐M95. We addressed issue antiquity O2a1‐M95 by sampling 8748 men from India, Laos, China compared them 3307 samples other intervening regions taken literature. Analyses frequency Y‐STR data on a total 2413 chromosomes revealed that Laos possessed...
This paper proposes a new methodology to optimize trajectory of the path for multi-robots using Improved particle swarm optimization Algorithm (IPSO) in clutter Environment. IPSO technique is incorporated into multi-robot system dynamic framework, which will provide robust performance, self-deterministic cooperation, and coping with an inhospitable environment. The robots on team make independent decisions, coordinate, cooperate each other accomplish common goal developed IPSO. A planning...