Results 31 to 40 of about 630,759 (334)

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Shil'nikov Chaos control using Homoclinic orbits and the Newhouse region

, 2006
A method of controlling Shil'nikov's type chaos using windows that appear in the 1 dimensional bifurcation diagram when perturbations are applied, and using existence of stable homoclinic orbits near the unstable one is presented and applied to the ...
Furui, Sadataka, Niiya, Shohei
core   +1 more source

An Infrared Near‐Sensor Reservoir Computing System Based on Large‐Dynamic‐Space Memristor with Tens of Thousands of States for Dynamic Gesture Perception

Advanced Science
To efficiently process the massive amount of sensor data, it is demanding to develop a new paradigm. Inspired by neurobiological systems, an infrared near‐senor reservoir computing (RC) system, consisting of infrared sensors and memristors based on ...
Jiejun Wang, Xinqiang Pan, Zebin Zhao, Yiduo Xie, Wenbo Luo, Qin Xie, Huizhong Zeng, Yao Shuai, Zeqian Song, Chuangui Wu, Wanli Zhang   +10 more
doaj   +1 more source

Intelligent Design of Hairpin Filters Based on Artificial Neural Network and Proximal Policy Optimization

Applied Sciences, 2023
Microstrip filters are widely used in high-frequency circuit design for signal frequency selection. However, designing these filters often requires extensive trial and error to achieve the desired performance metrics, leading to significant time costs ...
Yunong Ye, Yifan Wu, Jiayu Chen, Guodong Su, Junchao Wang, Jun Liu   +5 more
doaj   +1 more source

Microstructural Evolution and Mechanical Property Degradation of Sn0.5Ag0.7Cu5Bi Solder Joints with High Indium Alloying

Advanced Engineering Materials, EarlyView.
This study identifies 12 wt% indium (In) as the optimal composition for Sn0.5Ag0.7Cu5Bi solder joints, achieving 87% ductile fracture and 81% suppression of intermetallic compound (IMC) growth versus 4 wt% In. High‐In alloys (15–17 wt%) show abnormal IMC thickening due to thermal activation.
Liuwei Wang, Huidong Gu, Xiaojing Wang, Shanshan Cai, Saad Alshammari, Gaber A. M. Mersal, Yanlai Wang, Xulei Wu, Hanhui Lei, Juanna Ren, Mohamed M. Ibrahim, Terence X. Liu   +11 more
wiley   +1 more source

An improved kT/C noise cancellation technique with presampling for high‐speed SAR ADCs

Electronics Letters
The kT/C noise cancellation technique can effectively reduce the digital‐to‐analog converter (DAC) size for successive approximation register ADCs and thus relax the burden for input drivers and reference buffers.
Yuanfan Gu, Kaipeng Wang, Tiange Yi, Xiaoguo Chen, Shiheng Yang, Jiaxin Liu   +5 more
doaj   +1 more source

Electrical Characterization of Cost-Effective Screen-Printed Sensors Based on Thermoplastic Polyurethane, Polyimide, and Polyethylene Terephthalate

Micromachines
In recent years, the improvement in living standards and the corresponding increase in quality-of-life expectations have significantly increased the demand for advanced electronic products.
Muhammad Faiz ul Hassan, Yan Wang, Kai Yang, Yading Wen, Shichao Jin, Yi Zhang, Xiaosheng Zhang   +6 more
doaj   +1 more source

A straightforward spectral emissivity estimating method based on constructing random rough surfaces

Light: Science & Applications, 2023
Spectral emissivity is an essential and sensitive parameter to characterize the radiative capacity of the solid surface in scientific and engineering applications, which would be non-negligibly affected by surface morphology.
Zezhan Zhang, Mengchao Chen, Lichuan Zhang, Hongzu Li, Hairui Huang, Zilong Zhang, Peifeng Yu, Yi Niu, Shan Gao, Chao Wang, Jing Jiang   +10 more
doaj   +1 more source

A Comprehensive Review of Additive Manufacturing for Space Applications: Materials, Advances, Challenges, and Future Directions

Advanced Engineering Materials, EarlyView.
Additive manufacturing (AM) transforms space hardware by enabling lightweight, high‐performance, and on‐demand production. This review outlines AM processes—powder bed fusion (PBF), directed energy deposition (DED), binder jetting (BJ), sheet lamination (SL), and material extrusion (ME)—applied to propulsion, satellite structures, and thermal devices ...
Stelios K. Georgantzinos, Eleni Papadopoulou, Grigorios Kostopoulos, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria Gkara, Chara C. Mitropoulou, Nikos D. Lagaros   +8 more
wiley   +1 more source

Effects of AlOx Sub‐Oxide Layer on Conductance Training of Passive Memristor for Neuromorphic Computing

Advanced Electronic Materials
Memristors are recognized as crucial devices for the hardware implementation of neuromorphic computing. The conductance training process of memristors has a direct impact on the performance of neuromorphic computing.
Qin Xie, Xinqiang Pan, Wenbo Luo, Yao Shuai, Yi Wang, Junde Tong, Zebin Zhao, Chuangui Wu, Wanli Zhang   +8 more
doaj   +1 more source