Results 51 to 60 of about 38,123 (311)

Simulation Model of Wind Turbine Power Control System with Fuzzy Regulation by Mamdani and Larsen Algorithms

Al-Khawarizmi Engineering Journal, 2017
The aim of this work is to create a power control system for wind turbines based on fuzzy logic. Three power control loop was considered including: changing the pitch angle of  the blade, changing the length of the blade and turning the nacelle.
Ghada Adel Aziz
doaj   +1 more source

Polarization‐Enabled Piezoelectric Tellurium–Selenium (TexSe1–x) Thin Films for Memory Switching and Artificial Synaptic Functions

Advanced Science, EarlyView.
Here, we demonstrate and investigate polarization‐enabled electromechanical responses in cryogenic physical vapor deposition (cryogenic PVD)‐deposited TexSe1‐x thin films, a tellurium‐based compound with a tunable bandgap and enhanced non‐centrosymmetry.
Chia‐Chen Chung, Mayur Chaudhary, Chia‐Hung Lo, Po‐Chien Lai, You‐Jie Lin, Ruei‐Hong Cyu, Yu‐Ren Peng, Bing‐Ni Gu, Zhao‐Feng Lou, Quynh Thi Le, Yi‐Jen Yu, Yen‐Fu Lin, Min‐Hung Lee, Ying‐Hao Chu, Chang‐Hong Shen, Der‐Hsien Lien, Yu‐Lun Chueh   +16 more
wiley   +1 more source

Optimal rules base development in Type-2 fuzzy logic for stochastic chemical control system

Digital Chemical Engineering
This study proposes the optimal development of rule bases using Type-2 fuzzy logic specifically designed for stochastic chemical control systems. The research addresses complexities and uncertainties inherent in stochastic pH neutralisation processes ...
Mohd Fauzi Zanil, Zainal Ahmad, Syamsul Rizal Abd Shukor, Norazwan Md Nor, Mohd Hardyianto Vai Bahrun   +4 more
doaj   +1 more source

Food security risk level assessment : a fuzzy logic-based approach [PDF]

, 2013
A fuzzy logic (FL)-based food security risk level assessment system is designed and is presented in this article. Three inputs—yield, production, and economic growth—are used to predict the level of risk associated with food supply.
Subramanian, Arjunan, Dowler, E., Leeson, M., Iliescu, Daciana, Merali, Y., Grant, W., Hines, Evor L., Qaddoum, Kefaya, Dowler, Elizabeth, Hines, Evor, Abdul Kadir, Muhd K., Abdul Kadir, Muhd Khairulzaman, Merali, Yasmin, Richards, Keith, Collier, R., Collier, Rosemary, Hines, E.L., Napier, Richard, Leeson, Mark S., Iliescu, D., Grant, Wyn, Abdul Kadir, M.K., Subramanian, A., Leeson, Mark, Napier, R., Richards, K., Qaddoum, K.   +26 more
core   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Fuzzy proportional-integral speed control of switched reluctance motor with MATLAB/Simulink and programmable logic controller communication

Measurement + Control, 2019
In this study, the auto-tuning proportional-integral controller is used to control the speed of a switched reluctance motor. The control algorithm is executed by the programmable logic controller.
Ali Uysal, Serdar Gokay, Emel Soylu, Tuncay Soylu, Serkan Çaşka   +4 more
doaj   +1 more source

Fuzzy Logic Controller

Scientific Inquiry and Review, 2019
In this research paper, the impact of water pH on detergent was measured by constructing a Fuzzy Logic Controller (FLC) based on Intuitionistic Fuzzy Numbers (IFNs) by incorporating three linguistic inputs and one output as taken by Saeed. M. et al. [1].
null Muhammad Saqlain, null Kashaf Naz, null Kashf Gaffar, null Muhammad Naveed Jafar   +3 more
openaire   +2 more sources

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Direct Torque Control System for a Three Phase Induction Motor With Fuzzy Logic Based Speed Controller [PDF]

Iraqi Journal for Electrical and Electronic Engineering, 2010
This paper presents a method for improving the speed profile of a three phase induction motor in direct torque control (DTC) drive system using a proposed fuzzy logic based speed controller.
Turki Y. Abdalla, Haroution Antranik Hairik, Adel M. Dakhil   +2 more
doaj