- Power Quality and Harmonics
- Magnetic Properties and Applications
- Advanced Electrical Measurement Techniques
- Advanced Adaptive Filtering Techniques
- Advancements in PLL and VCO Technologies
- Non-Destructive Testing Techniques
- Smart Grid Security and Resilience
- Electricity Theft Detection Techniques
- Smart Agriculture and AI
- Electric Motor Design and Analysis
- Spectroscopy and Chemometric Analyses
- Natural Language Processing Techniques
- Flow Measurement and Analysis
- RFID technology advancements
- Advanced Clustering Algorithms Research
- Spam and Phishing Detection
- Digital Filter Design and Implementation
- Advanced Antenna and Metasurface Technologies
- Speech and Audio Processing
- Emotion and Mood Recognition
- Cloud Computing and Remote Desktop Technologies
- Robotics and Automated Systems
- Structural Integrity and Reliability Analysis
- VLSI and FPGA Design Techniques
- Remote Sensing and Land Use
Manav Rachna International Institute of Research and Studies
2025
Amity University
2024
Indian Institute of Technology Patna
2024
National Institute of Technology Meghalaya
2020-2024
Vishwakarma University
2023
Indian Institute of Technology Kharagpur
2018-2020
Central Institute of Post-Harvest Engineering and Technology
2019-2020
Indian Institute of Information Technology Design and Manufacturing Jabalpur
2018
AAA College of Engineering and Technology
2018
Graphic Era University
2013-2014
Fink is a broker designed to enable science with large time-domain alert streams such as the one from upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). It exhibits traditional astronomy features automatised ingestion, annotation, selection redistribution promising alerts for transient science. also go beyond by providing real-time classification which continuously improved using state-of-the-art Deep Learning Adaptive techniques. These evolving added values will more...
This paper confers a comprehensive framework along with hardware approach for the detection of theft electricity (TOE). Moreover, causes Non-Technical Losses (NTLs) have been rigorously reviewed and its economic impacts are also highlighted. Proposed elucidates that appropriate monitoring extraction current at different checkpoints, restrain fraudulent behavior customer or TOE.
A closed loop modulated Hopping Discrete Fourier Transform (mHDFT) based quadrature detector is proposed to estimate the various vibration parameters. The hopping DFT efficient way of calculating N samples. system poles always reside on unit circle and as there no twiddle factor involved in feedback filter so accumulation error while This algorithm implemented Phase Locked Loop design for non contact type estimation. detection accuracy estimator very high even low frequency signals.
A digital phase-locked loop (DPLL) based on sliding window infinite Fourier transform (SWIFT) and αSWIFT is proposed to extract the vibration velocity parameters from phase-modulated carrier signal. The phase of a signal gets modulated when it reflected object due Doppler effect. Therefore, contains that has information. SWIFT or structure designed discrete-time (DTFT) where exponential provides higher weightage recent samples. It acts as detector in DPLL, its bandwidth can be varied values...
A closed-loop Sliding Window Infinite Fourier Transform Phase Locked Loop (SWIFT-PLL) is employed to extract the fundamental and its harmonics content in a distorted power signal. fast accurate harmonic analysis would help maintaining standard quality without any damage operating instruments. Determining mitigating by use of compensators result an efficient distribution system. SWIFT-PLL designed with intent determine n <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Original K-medoid algorithm use to take initial medoids arbitrarily that bears on the resulting clusters and it leads unstable empty which are no meaningful also amount of iterations can be rather high so K-Medoid is not a substitute for big databases because its computational complexity. Also original k-means computationally. Though existing algorithms usually better outcome, they do scale well time efficient. Ameliorated k-Medoid clustering partitioning an improved will have accuracy more...
This paper bestows the importance of reliable power system for proficient performance industrial loads. As quality is accountable a system, therefore in this deteriorating aspects has been critically reviewed. While, unbalance supply one vital aspect worsening which inturn affect Various upshots unbalanced on three-phase induction motor (3-Φ IM) analysed. It notified that derating 3-Φ IM under degree dependent parameter as given by National Equipment Manufacturer's Association (NEMA)...
Ultrasonic vibration parameters are estimated using a Fuzzy based Phase locked loop. A quadrature detector on the modified sliding discrete Fourier transform (SDFT) is employed that acts as band-pass filter. damping factor (r) introduced in SDFT to ensure stability of Complex poles eliminated by rationalizing filter known Goertzel algorithm. The phase then passed through low pass output contains information along with noise. To eliminate noise, PID controller employed. This fuzzy system,...
Noise is one of the most hindering factors in signal processing as they are random nature, and it may obliterate interest. arise due to errors sensor well erroneous transmission channels. These inherent real-world applications cause measuring quantity. In our proposed model, Particle Swarm Optimization PSO used optimize adaptive filter coefficients an Adaptive line enhancer (ALE) remove noise from received signal. The based ALE designed MATLAB, its performance investigated for different scenarios.
Frequency estimation has been a key parameter for determining the working status of Power System. In this paper performance phase locked loops and its advancements like enhanced Pseudo Linear Enhanced are compared on basis their accuracy, robustness, time computation. Various operating conditions such as harmonic content, noise taken into account analyzing these algorithms in MATLAB/SIMULINK environment.