Results 91 to 100 of about 269,671 (328)

Design Optimization of Manifold Microchannel Heat Sink using Evolutionary Algorithms [PDF]

E3S Web of Conferences
In today’s world, miniaturized products are proved to be the dis-ruptive technologies contributing to the sustainability through green energy. Microchannel heat sink (MCHS) is an advanced cooling device to accom-plish the cooling requirements for such ...
Gulia Vikas, Nargundkar Aniket
doaj   +1 more source

Study and Comparison The Performance of Sensorless Control of PMSM Drive System [PDF]

Engineering and Technology Journal, 2014
Field oriented control space vector pulse width modulation (FOC- SVPWM) is one of the effective and modern methods for speed control of Permanent magnet synchronous motor (PMSM).
Majid K. Al-Khatat, Ghphran Taha Ahmed Abd   +1 more
doaj   +1 more source

A benchmark study on identification of inelastic parameters based on deep drawing processes using pso – nelder mead hybrid approach [PDF]

, 2013
Optimization techniques have been increasingly used to identification of inelastic material parameters owing to their generality. Development of robust techniques to solving this class of inverse problems has been a challenge to researchers mainly due to
Bertoti, E., Luersen, M. A., Muñoz-Rojas, P. A., Trentin, R.G., Vaz Jr., M.   +4 more
core  

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source

Self‐assembly and Lateral Cobalt Coordination of a Fivefold Symmetric Cyanostar Macrocycle on an Au(111) Surface

Chemistry – A European Journal, EarlyView.
Herein, we report the first example of the formation of a close‐packed, regular 2D monolayer of a fivefold symmetric cyanostar macrocycle on an Au(111) surface under ultra‐high vacuum and the structural modification of such self‐assembled architecture upon cobalt atom deposition.
Lenka Černá, Miguel Martínez García, Shanmugasibi K. Mathialagan, Sofía O. Parreiras, Koen Lauwaet, José Ignacio Urgel, Aurelio Gallardo, Amar H. Flood, Tomás Torres, José M. Gallego, Giovanni Bottari, David Écija   +11 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Hiding Fuzzy Sequential Patterns by a Multi-Objective Scheme

International Journal of Information and Communication Technology Research, 2016
Improvements in technology have led to generating and mining huge amounts of data. Sequence mining is a research area of data mining that aims to extract useful knowledge from raw databases.
Olya Sadat Behbahani, Mir Mohsen Pedram, Kambiz Badie   +2 more
doaj  

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

An ant colony genetic fusion routing algorithm based on soft define network

IET Networks, EarlyView., 2022
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley   +1 more source