Narinder Singh
A5101735147- Particle accelerators and beam dynamics
- Metaheuristic Optimization Algorithms Research
- Magnetic confinement fusion research
- Radioactivity and Radon Measurements
- Nuclear Physics and Applications
- Plasma Diagnostics and Applications
- Advanced Multi-Objective Optimization Algorithms
- Plant-Microbe Interactions and Immunity
- Superconducting Materials and Applications
- Advanced Algorithms and Applications
- Wireless Communication Networks Research
- Evolutionary Algorithms and Applications
- Advanced Control Systems Design
- Gyrotron and Vacuum Electronics Research
- Cognitive Radio Networks and Spectrum Sensing
- IPv6, Mobility, Handover, Networks, Security
- Plant Pathogens and Fungal Diseases
- Radioactive contamination and transfer
- Plant Disease Resistance and Genetics
- Advanced Optimization Algorithms Research
- Advanced Wireless Network Optimization
- Plant Disease Management Techniques
- Advanced MIMO Systems Optimization
- Blind Source Separation Techniques
- Embedded Systems Design Techniques
Punjabi University
2013-2024
Institute for Plasma Research
2013-2023
National Institute of Technology Kurukshetra
2010-2022
Punjab Agricultural University
2017-2022
Sangath
2021
Chandigarh University
2021
Dr. B. R. Ambedkar National Institute of Technology Jalandhar
2013-2021
Homi Bhabha National Institute
2017-2020
Thapar Institute of Engineering & Technology
2020
National Agency for New Technologies, Energy and Sustainable Economic Development
2019
Particle swarm optimization (PSO) is one of the most famous swarm-based techniques inspired by nature. Due to its properties flexibility and easy implementation, there an enormous increase in popularity this nature-inspired technique. has gained prompt attention from every field researchers. Since origin 1995 till now, researchers have improved original varying ways. They derived new versions it, such as published theoretical studies on various parameters PSO, proposed many variants...
A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). The main idea to improve ability exploitation in exploration produce both variants’ strength. Some unimodal, multimodal, fixed-dimension multimodal test functions are used check solution quality performance variant. numerical statistical solutions show that variant outperforms significantly PSO GWO variants terms quality, stability,...
Abstract Recent trend of research is to hybridize two and several number variants find out better quality solution practical recent real applications in the field global optimization problems. In this paper, a new approach hybrid Grey Wolf Optimizer (GWO) – Sine Cosine Algorithm (SCA) exercised on twenty-two benchmark test, five bio-medical dataset one sine Hybrid GWOSCA combination used for exploitation phase exploration uncertain environment. The movement directions speed grey wolve...
The ITER Neutral Beam Test Facility (NBTF), called PRIMA (Padova Research on Megavolt Accelerator), is hosted in Padova, Italy and includes two experiments: MITICA, the full-scale prototype of heating neutral beam injector, SPIDER, full-size radio frequency negative-ions source. NBTF realization exploitation SPIDER MITICA have been recognized as necessary to make future operation injectors efficient reliable, fundamental achievement thermonuclear-relevant plasma parameters ITER. This paper...
The ITER project requires additional heating by two neutral beam injectors, each accelerating to 1 MV a 40 A of negative deuterium ions, deliver the plasma power about 17 MW for one hour. As these requirements have never been experimentally met, it was recognized as necessary setup test facility, PRIMA (Padova Research on Megavolt Accelerator), in Italy, including full-size ion source, SPIDER, and prototype whole injector, MITICA, aiming develop injectors be installed ITER. This realization...
The requirements of ITER neutral beam injectors (1 MeV, 40 A negative deuterium ion current for 1 h) have never been simultaneously attained; therefore, a dedicated Neutral Beam Test Facility (NBTF) was set up at Consorzio RFX (Padova, Italy). NBTF includes two experiments: SPIDER (Source the Production Ions Deuterium Extracted from Rf plasma), full-scale prototype source injectors, with 100 keV accelerator, to investigate and optimize properties source; MITICA, entire injector, devoted...
The quest for an efficient nature-inspired optimization technique has continued over the last few decades. In this paper, a hybrid been proposed. algorithm constructed using Mean Grey Wolf Optimizer (MGWO) and Whale Algorithm (WOA). We have utilized spiral equation of two procedures in Hybrid Approach GWO (HAGWO) algorithm: (i) firstly, we used balance between exploitation exploration process new approach; (ii) secondly, also applied whole population order to refrain from premature...
SPIDER is one of the two projects ITER Neutral Beam Test Facility (NBTF) under construction in Padova, Italy, at Consorzio RFX premises; it will have a 100 keV beam source with full-size prototype radiofrequency (RF) ion for Injector (NBI), designed to operate pulse length up 3600 s, featuring ITER-like filter field configuration, caesium oven layout and wide set diagnostics.These features allow reproducing operation like as cannot be done any other existing test facility.SPIDER realization...
A modified variant of gray wolf optimization algorithm, namely, mean algorithm has been developed by modifying the position update (encircling behavior) equations algorithm. The proposed tested on 23 standard benchmark well-known test functions (unimodal, multimodal, and fixed-dimension multimodal), performance compared with particle swarm optimization. Proposed also applied to classification 5 data sets check feasibility variant. results obtained are many other meta-heuristic approaches,...
The original version of Grey Wolf Optimization (GWO) algorithm has small number disadvantages low solving accuracy, bad local searching ability and slow convergence rate. In order to overcome these Optimizer, a new Optimizer been proposed by modifying the encircling behavior position update equations Algorithm. accuracy performance modified variant is tested on several well known classical further more like sine dataset cantilever beam design functions. For verification, results are compared...
The support for automatic interoperation of software components can reduce cost and provide greater functionality. This paper describes a novel approach to based on specification sharing. Software components, called agents, machine processable descriptions their capabilities needs. Agents be realized in different programming languages, they run processes machines. In addition, agents dynamic — at time join the system or leave. uses declarative agent specifications automatically coordinate...
With increasing demand of new wireless applications and number user's problem spectrum scarcity arises.Cognitive Radio technology supports dynamic access to address problem.Reliability cognitive operation entirely depends upon how effectively task sensing has been performed.Spectrum is a process discovering voids in which can be allocated users opportunistically.There exists traditional methods literature for constant noise floor.Practically, density uncertain under performance scheme...
Abstract Background Foot rot/gummosis of citrus, caused by Phytophthora spp., is the most important disease responsible for yield losses 10 to 30% in fruit production major citrus growing countries. Considering burden disease, present study was undertaken evaluate different native potent strains Trichoderma spp. against foot citrus. Results Based on molecular characteristics, i.e., ITS ribosomal DNA sequence analysis, 3 isolates nicotianae var . parasitica and 7 (6 T. asperellum one...