A5026087527- Structural Health Monitoring Techniques
- Earthquake Detection and Analysis
- Seismic Waves and Analysis
- Machine Fault Diagnosis Techniques
- Image and Signal Denoising Methods
- Photonic and Optical Devices
- Seismic Performance and Analysis
- Seismology and Earthquake Studies
- Advanced MIMO Systems Optimization
- Image Enhancement Techniques
- Vibration Control and Rheological Fluids
- Infrastructure Maintenance and Monitoring
- Blind Source Separation Techniques
- Energy Harvesting in Wireless Networks
- Advanced Adaptive Filtering Techniques
- Vibration and Dynamic Analysis
- earthquake and tectonic studies
- Plasmonic and Surface Plasmon Research
- Image Processing and 3D Reconstruction
- Gaze Tracking and Assistive Technology
- Sustainable Building Design and Assessment
- Robotics and Sensor-Based Localization
- Phytochemistry and Bioactive Compounds
- Wildlife-Road Interactions and Conservation
- Wireless Power Transfer Systems
Miami University
2025
Henan University
2018-2025
JECRC University
2023
Sharda University
2023
KLE University
2023
National Institute of Technology Patna
2020
Indian Institute of Technology Roorkee
2013-2019
Silicon photonic devices used in the photonics industry over past three decades have helped realizing large-scale integrated circuits. nitride (Si <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> N xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> ) is another CMOS-compatible platform that provides several advantages such as low loss, high optical power tolerance, and broad spectral operation band from visible to infrared wavelengths....
Energy consumption is a primary concern in the computational process of heavy networks like Google, etc., where key goal to make them ultra-fast with low heat generation. Optical processing can play an important role shrinking energy and allow system work smoothly but beyond Boltzmann limit kTLn2. In current epoch, optical reversible logic functions are greatly considered as potential solution for minimizing dissipation or information loss found applications nanotechnology, circuits...
Quick and accurate structural damage detection is essential for maintaining the safety integrity of infrastructure, especially following natural disasters. Traditional methods assessment, which rely on manual inspections, can be labor-intensive subject to human error. This paper introduces a hybrid deep learning model that combines capabilities ResNet50 GoogLeNet, further enhanced by convolutional block attention module (CBAM), proposed improve both accuracy performance in detecting damage....
A power-line interference (PLI) removal method is proposed based on a previously published sliding discrete Fourier transform (SDFT) phase locking scheme (PLL), which extracts the nonstationary sinusoids from electrocardiogram (ECG) signal. The PLI canceler consists of SDFT PLL as vital element, can track variation in center frequency either 50 or 60 Hz. involves adaptive sampling control filter adaptively adjusted according to interference. Since in-phase and quadrature components provide...
Analysis based on time–frequency representations provides meaningful interpretations for seismic signals. An application of the synchrosqueezing transform (SST) continuous wavelet detection frequency shifting earthquake-damaged structures is introduced in this letter. The analysis real-time records damaged performed with Wigner–Ville distribution, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S$...
This paper presents numerical modeling of surface plasmon resonance (SPR) sensors for cancerous cell detection by employing tin selenide allotrope (SnSe) and tungsten disulfide (WS2). The structure is based on the Kretschmann configuration that coated with a gold metallic film to excite plasmons. In this study, we have considered different cells contain both healthy affected process. transfer matrix method exploited analyze performance parameters at 633 nm wavelength. Initially, thickness...
The primary objective of this research paper, is to introduce an effective hybrid window function for low pass finite impulse response (FIR) filter design which useful denoising the electrocardiogram (ECG) signals corrupted by additive white gaussian noise (AWGN) even at signal ratio (SNR) condition.The may be introduced during ambulatory patient monitoring in wireless ECG recording environment.For proper diagnosis, it very essential receive noiseless SNR.To reach objective, a proposed and...
A method of de-noising seismic signals based on Gabor transform has been proposed as a preprocessing procedure for real-time signals. The helps in removal noise when the signal is contaminated by noise. application validated through simulation results followed experimental data. efficiency removing compared with wavelet analysis. prove method.
The classical Fourier transform method does not reveal the temporal information of signal, whereas time-frequency methods provide comprehensive non-stationary signal over plane. Based on typical signals several such as short time transform, wavelet Wigner --Ville distribution, Pseudo Hilbert Huang are evaluated. In this paper, these compared to performance Gabor -Wigner which proves effectiveness GWT in comparison other methods. efficacy is validated by two different numerical case studies,...
There is a damage to the health of civil structures over time due aging and loading effects i.e., wind,earthquakes etc. To identify these hidden damages at earliest, some reliable detection techniques are required. In addition, it becomes essential monitor performance structural integrity results in increased life span structures. this paper, average energy entropy scheme based on discrete wavelet transform proposed detect incipient The measured response first decomposed into set components...
A method is presented to design and tune the modified linear quadratic Gaussian (LQG) controller obtain increased efficiency during an earthquake. It utilises swarm intelligence parameters of LQG based on quasi resonance between natural frequencies structure in first two modes predominant seismic signal. The thus developed minimises energy by altering its online. For testing this controller, a benchmark prototype numerically tested under different signatures recorded near/far fault sites...