Results 31 to 40 of about 393,308 (312)

Inverse Design for Coating Parameters in Nano-Film Growth Based on Deep Learning Neural Network and Particle Swarm Optimization Algorithm

Photonics, 2022
The NN (neural network)-PSO (particle swarm optimization) method is demonstrated to be able to inversely extract the coating parameters for the multilayer nano-films through a simulation case and two experimental cases to verify its accuracy and ...
Xiaohan Guo, Jinsu Lu, Yu Li, Jianhong Li, Weiping Huang   +4 more
doaj   +1 more source

On Using Physical Analogies for Feature and Shape Extraction in Computer Vision [PDF]

, 2008
There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but ...
Hurley, David, Cem Direkoglu, Mark S. Nixon, Nixon, Mark, David J Hurley, Xin U. Liu, Liu, Xin, Direkoglu, Cem   +7 more
core   +1 more source

Comparative study of parameter extractions of photovoltaic modules using analytical and numerical approaches

Frontiers in Energy Research
Developing an accurate mathematical model for parameter extraction in photovoltaic modules is a crucial endeavor in optimizing photovoltaic energy systems. This study seeks to assess and compare various analytical and numerical methods for extracting the
Brahim Belmahdi
doaj   +1 more source

Review on Li-ion Battery Parameter Extraction Methods

IEEE Access, 2023
Electric batteries have gained attention with recent developments in the transport sector, especially with electric vehicles (EVs) technology and with the rapid development in the energy storage sector with application to the electricity grid.
Akila E. Jayasinghe, Nuwantha Fernando, Sisil Kumarawadu, Liuping Wang   +3 more
doaj   +1 more source

Cepstral analysis based on the Glimpse proportion measure for improving the intelligibility of HMM-based synthetic speech in noise [PDF]

, 2012
In this paper we introduce a new cepstral coefficient extraction method based on an intelligibility measure for speech in noise, the Glimpse Proportion measure.
Valentini-Botinhao, C.; id_orcid, Zen, H., Ranniery Maia, Simon King, Maia, R., King, S.; id_orcid, Heiga Zen, Junichi Yamagishi, Cassia Valentini-Botinhao, Yamagishi, J.   +9 more
core   +1 more source

Physics-Based Multi-Bias RF Large-Signal GaN HEMT Modeling and Parameter Extraction Flow

IEEE Journal of the Electron Devices Society, 2017
In this paper, a consistent DC to RF modeling solution for Al gallium nitride (GaN)/GaN high electron mobility transistors is demonstrated that is constructed around a surface-potential-based core.
Sheikh Aamir Ahsan, Sudip Ghosh, Sourabh Khandelwal, Yogesh Singh Chauhan   +3 more
doaj   +1 more source

Nonlinear Transistor Model Parameter Extraction Techniques [PDF]

, 2011
Achieve accurate and reliable parameter extraction using this complete survey of state-of-the-art techniques and methods. A team of experts from industry and academia provides you with insights into a range of key topics, including parasitics, intrinsic ...

core   +1 more source

Framework of Scan to Building Information Modeling for Geometric Defect Localization in Railway Track Maintenance

Buildings
Railway transportation plays a vital role in modern society, enabling the safe and efficient movement of people and goods over long distances. To ensure the longevity and safety of a railway infrastructure, the regular maintenance of tracks is crucial ...
Bilawal Mahmood, Seok Kim
doaj   +1 more source

Parameters Extraction of Photovoltaic Models Using an Improved Moth-Flame Optimization

Energies, 2019
Photovoltaic (PV) models’ parameter extraction with the tested current-voltage values is vital for the optimization, control, and evaluation of the PV systems.
Huawen Sheng, Chunquan Li, Hanming Wang, Zeyuan Yan, Yin Xiong, Zhenting Cao, Qianying Kuang   +6 more
doaj   +1 more source

Parameter Extraction For Quantum Well DFB Lasers Based on 1D Traveling Wave Model

IEEE Photonics Journal, 2022
Extracting the parameters of a laser from the measured results is critical for laser design, modeling and optimization. This work presents a parameter extraction method for quantum well distributed feedback (DFB) lasers based on the one-dimensional ...
Jiewen Chi, Chuanning Niu, Jia Zhao
doaj   +1 more source