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A Novel Method for Thermoelectric Generator Based on Neural Network

computers, Materials & Continua 2022年第10期73卷 2115-2133页

作者： Mohammad Saraireh A.M.Maqableh Manar Jaradat Omar A.Saraereh mechanical engineering Department Faculty of EngineeringMutah UniversityKarak61710Jordan Electromechanical engineering Department Luminus Technical University CollegeAmman11118Jordan Department of computer engineering Faculty of EngineeringThe Hashemite UniversityZarqa13133Jordan Department of electrical engineering Faculty of EngineeringThe Hashemite UniversityZarqa13133Jordan

The growing need for renewable energy and zero carbon dioxide emissions has fueled the development of thermoelectric generators with improved power generating capability.Along with the endeavor to develop thermoelectric materials with greater figures of merit,the geometrical and structural optimization of thermoelectric generators is equally critical for maximum power output and efficiency.Green energy strategies that are constantly updated are a viable option for addressing the global energy issue while also protecting the environment.There have been significant focuses on the development of thermoelectric modules for a range of solar,automotive,military,and aerospace applications in recent years due to various advantages including as low vibration,great reliability and durability,and the absence of moving components.In order to enhance the system performance of the thermoelectric generator,an artificial neural network(ANN)based algorithm is proposed.Furthermore,to achieve high efficiency and system stability,a buck converter is designed and deployed.Simulation and experimental findings demonstrate that the suggested method is viable and available,and that it is almost similar to the real value in the steady state with the least power losses,making it ideal for vehicle exhaust thermoelectric generator applications.Furthermore,the proposed hybrid algorithm has a high reference value for the development of a dependable and efficient car exhaust thermoelectric generating system.

关键词： Thermoelectric system thermodynamics electromechanics rotational factors neural networks

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Observer design for descriptor networked control systems with unknown and partially known inputs

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Journal of Control and Decision 2018年第4期5卷 346-362页

作者： Mohammad Mahdi Share Pasand Mohsen Montazeri faculty of electrical Mechanical and Civil EngineeringDepartment of Electrical and ElectronicsStandard Research InstituteAlborzIran Department of electrical and computer engineering Shahid Beheshti UniversityTehranIran

Sufficient conditions are given for the existence of unknown and partially known input normal and descriptor observers for a class of descriptor discrete time networked control systems.It is shown that a causal and regular descriptor system subjected to input and output periodic communication constraints,can be down sampled into a causal and regular p-lifted time invariant system.According to the lifted formulation,interesting results on minimum and maximum feasible values for communication sequence periods are drawn for the existence of an unknown or partially known input observer.The case of partially known input observer,cover unknown input case as an extreme case.An example is given for clarification.

关键词： Networked control systems unknown/partially known input observer communication sequence descriptor systems

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The effect of downstream resistance on flow diverter treatment of a cerebral aneurysm at a bifurcation: A joint computational-experimental study

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Journal of Hydrodynamics 2018年第5期30卷 803-814页

作者： ANDerson C.O.Tsang Billy Y.S.Yiu Abraham Y.S.Tang W.C.Chung Gilberto K.K.Leung AlexANDer K.K.Poon Alfred C.H.Yu Simon S.M.Lai K.W.Chow Department of Surgery Li Ka Shing Faculty of Medicine University of Hong Kong Department of electrical and computer engineering University of Waterloo Department of mechanical engineering University of Hong Kong Department of electrical and Electronic engineering University of Hong Kong

Intracranial aneurysm can lead to hemorrhagic stroke upon rupture. Deployment of flow diverters can restrict the blood flow into aneurysm and mitigate the rupture risk. Computational fluid dynamics（CFD） and ultrasonography with pulse-wave and color Doppler ultrasound measurements were employed jointly to investigate the complex flow pattern in cerebral aneurysms, both before and after the deployment of flow diverters. Patient-specific configurations of both bifurcation and side-wall aneurysms were selected. The effect of downstream flow resistance was investigated by adjusting the volume flow rate and pressure at the outlet vessels computationally and experimentally. Velocity profiles in the aneurysm measured from ultrasonography showed good agreement with those from computer simulations. The discrepancy in velocity between the computational and experimental sets of data is less than 10%. The downstream resistance can alter the volume flux into a bifurcation aneurysm with a flow diverter deployed by 236%, while the corresponding value of a side-wall aneurysm is negligible. The vorticity of the aneurysmal flow was reduced by more than 80% in both cases after stenting. This study demonstrated that careful investigation of downstream flow resistance of a bifurcation aneurysm is essential to provide an accurate assessment of the aneurysmal flow dynamics after flow diverter deployment.

关键词： Intracranial aneurysms computational fluid dynamics （CFD） doppler ultrasound

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Bi-LSTM-Based Deep Stacked Sequence-to-Sequence Autoencoder for Forecasting Solar Irradiation and Wind Speed

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computers, Materials & Continua 2023年第6期75卷 6375-6393页

作者： Neelam Mughees Mujtaba Hussain Jaffery Abdullah Mughees Anam Mughees Krzysztof Ejsmont Department of electrical and computer engineering COMSATS University IslamabadLahore Campus45550Pakistan School of engineering and Technology National Textile UniversityFaisalabad37610Pakistan Department of electrical engineering Information Technology UniversityLahore54000Pakistan Department of electrical engineering GC UniversityFaisalabad38000Pakistan faculty of mechanical and Industrial engineering Warsaw University of Technology02-524WarsawPoland

Wind and solar energy are two popular forms of renewable energy used in microgrids and facilitating the transition towards net-zero carbon emissions by 2050.However,they are exceedingly unpredictable since they rely highly on weather and atmospheric conditions.In microgrids,smart energy management systems,such as integrated demand response programs,are permanently established on a step-ahead basis,which means that accu-rate forecasting of wind speed and solar irradiance intervals is becoming increasingly crucial to the optimal operation and planning of microgrids.With this in mind,a novel“bidirectional long short-term memory network”(Bi-LSTM)-based,deep stacked,sequence-to-sequence autoencoder(S2SAE)forecasting model for predicting short-term solar irradiation and wind speed was developed and evaluated in MATLAB.To create a deep stacked S2SAE prediction model,a deep Bi-LSTM-based encoder and decoder are stacked on top of one another to reduce the dimension of the input sequence,extract its features,and then reconstruct it to produce the forecasts.Hyperparameters of the proposed deep stacked S2SAE forecasting model were optimized using the Bayesian optimization algorithm.Moreover,the forecasting performance of the proposed Bi-LSTM-based deep stacked S2SAE model was compared to three other deep,and shallow stacked S2SAEs,i.e.,the LSTM-based deep stacked S2SAE model,gated recurrent unit-based deep stacked S2SAE model,and Bi-LSTM-based shallow stacked S2SAE model.All these models were also optimized and modeled in MATLAB.The results simulated based on actual data confirmed that the proposed model outperformed the alternatives by achieving an accuracy of up to 99.7%,which evidenced the high reliability of the proposed forecasting.

关键词： Deep stacked autoencoder sequence to sequence autoencoder bidirectional long short-term memory network wind speed forecasting solar irradiation forecasting

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An Algorithm for the Protection of Distribution Feeders Using the Stockwell and Hilbert Transforms Supported Features

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CSEE Journal of Power and Energy Systems 2021年第6期7卷 1278-1288页

作者： OM Prakash Mahela Jaya Sharma Bipul Kumar Baseem Khan Hassan Haes Alhelou the Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd.Jaipur-302005India Department of electrical engineering Rajasthan College of Engineering for WomenJaipurIndia the Department of electrical and computer engineering Hawassa UniversityHawassa 1530Ethiopia the Department of electrical Power engineering Faculty of Mechanical and Electrical EngineeringTishreen UniversityLattakia 2230Syria

Faults’recognition in the distribution feeders(DFs)is extremely important for improving the reliability of the distribution system.Therefore,this paper proposes a technique to identify the faults on the DF using the Stockwell Transform(ST)dependent variance feature and Hilbert transform(HT)by utilizing current signals.By element to element multiplication of the H-index,we compute using HT aided decompositions of current waveforms and VS-index,and calculate through ST aided decomposition of current waveforms.By utilizing the decision rules,various faults are classified.Different faults studied in this work are line to ground,double line,double line to ground and 3-Φto ground.For high fault impedance,this technique is effectively utilized.Furthermore,variations in the fault incidence angles are also utilized to test the performance of the proposed technique.To perform the proposed algorithm,a IEEE-13 bus system is developed in MATLAB/Simulink software.The algorithm effectively classified the faults with accuracy greater than 98%.The algorithm is also successfully validated on the IEEE-34 bus test system.Furthermore,the algorithm was successfully validated on the practical power system network.It is recognized that the developed method performed better than the discrete Wavelet transform(DWT)and ruled decision tree based protection scheme reported in various literature.

关键词： Fault classification fault recognition H-index VS-index

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On Some Novel Fixed Point Results for Generalized F-Contractions in b-Metric-Like Spaces with Application

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computer Modeling in engineering & Sciences 2023年第4期135卷 673-686页

作者： Kastriot Zoto Ilir Vardhami Dusan Bajovic Zoran D.Mitrovic Stojan Radenovic Department of Mathematics and computer Sciences Faculty of Natural SciencesUniversity of GjirokastraGjirokastra6001Albania Department of Mathematics Faculty of Natural SciencesUniversity of TiranaTirana1001Albania faculty of electrical engineering University of Banja LukaBanja Luka78000Bosnia and Herzegovina Department of Mathematics Faculty of Mechanical EngineeringUniversity of BelgradeBeograd11120Serbia

The focusofourwork is on themost recent results infixedpoint theoryrelated tocontractivemappings.Wedescribe variants of(s,q,φ,F)-contractions that expand,supplement and unify an important work widely discussed in the literature,based on existing classes of interpolative and F-contractions.In particular,a large class of contractions in terms of s,q,φand F for both linear and nonlinear contractions are defined in the framework of b-metric-like spaces.The main result in our paper is that(s,q,φ,F)-g-weak contractions have a fixed point in b-metric-like spaces if function F or the specified contraction is continuous.As an application of our results,we have shown the existence and uniqueness of solutions of some classes of nonlinear integral equations.

关键词： (φ,F)-contraction (s,q,φ,F)-contraction b-metric-like space fixed point

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A novel finite element formulation for static bending analysis of functionally graded porous sandwich plates

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Frontiers of Structural and Civil engineering 2022年第12期16卷 1599-1620页

作者： Van Chinh NGUYEN Trung Thanh TRAN Trung NGUYEN-THOI Quoc-Hoa PHAM faculty of mechanical engineering Le Quy Don Technical UniversityHanoiVietnam Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh CityVietnam Faculty of Mechanical-Electrical and Computer Engineering Van Lang UniversityHo Chi Minh CityVietnam faculty of engineering and Technology Nguyen Tat Thanh UniversityHo Chi Minh CityVietnam

This article aims to propose a finite element formulation based on Quasi-3D theory for the static bending analysis of functionally graded porous(FGP)sandwich plates.The FGP sandwich plates consist of three layers including the bottom skin of homogeneous metal,the top skin of fully ceramic and the FGP core layer with uneven porosity distribution.A quadrilateral(Q4)element with nine degrees of freedom(DOFs)per node is derived and employed in analyzing the static bending response of the plate under uniform and/or sinusoidally distributed loads.The accuracy of the present finite element formulation is verified by comparing the obtained numerical results with the published results in the literature.Then,some numerical examples are performed to examine the effects of the parameters including power-law index k and porosity coefficient on the static bending response of rectangular FGP sandwich plates.In addition,a problem with a complicated L-shape model is conducted to illustrate the superiority of the proposed finite element method.

关键词： sandwich plates functionally graded porous static bending Quasi-3D theory Q4 element

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基于自适应有限时间扰动观测器的摄动三稳态俘能器抗干扰及性能提高研究

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Acta Mechanica Sinica 2022年第8期38卷 132-148页

作者：方仕童 Naser Padar Mohammad Javad Mirzaei 周生喜廖维新 Department of mechanical and Automation engineering The Chinese University of Hong KongHong Kong999077China Department of electrical engineering Amirkabir University of TechnologyTehran15875-4413Iran faculty of electrical and computer engineering University of TabrizTabriz516661-6471Iran Research&Development Institute in Shenzhen Northwestern Polytechnical UniversityShenzhen518057China

三稳态俘能器被提出用于实现宽频带及优越的低频俘能性能.但是,由于三稳态俘能器具有三个共存的势阱和对系统状态及外界扰动的敏感性,其可能无法产生理想的高振幅阱间振荡运动,取而代之的是降低俘能性能的混沌或阱内振荡运动.特别地,混... 详细信息

三稳态俘能器被提出用于实现宽频带及优越的低频俘能性能.但是,由于三稳态俘能器具有三个共存的势阱和对系统状态及外界扰动的敏感性,其可能无法产生理想的高振幅阱间振荡运动,取而代之的是降低俘能性能的混沌或阱内振荡运动.特别地,混沌运动会产生无法预测的运动轨迹,可能导致俘能系统损坏并降低结构持久性,且这种运动形态要求俘能器具有更复杂的能量管理电路.因此,本文首次提出自适应有限时间扰动观测器(AFTDO),通过检测并抵制导致混沌运动的外界扰动,以恢复阱间运动从而增强三稳态俘能器的俘能性能.与传统的观测器不同,本文所提出的AFTDO通过自适应协议克服需提前获得扰动上边界信息才可进行观测的要求,从而提高观测器的效能.本论文提出压电三稳态俘能器系统及AFTDO的数学模型,通过一系列的数值仿真证明AFTDO的有效性.结果表明在简谐及脉冲形式的外界扰动下,AFTDO均可成功追踪干扰信号的轨迹且实现自适应增益,并成功抵制外界扰动使得三稳态俘能器维持周期性阱间振荡运动,获得有效俘能性能.

关键词：边界信息俘能器观测器运动轨迹振荡运动理想的高 AFT 自适应增益

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Comprehensive Overview of Multi-agent Systems for Controlling Smart Grids

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CSEE Journal of Power and Energy Systems 2022年第1期8卷 115-131页

作者： Om Prakash Mahela Mahdi Khosravy Neeraj Gupta Baseem Khan Hassan Haes Alhelou Rajendra Mahla Nilesh Patel Pierluigi Siano Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd.Jaipur-302005India Media Integrated Communication Laboratory Graduate School of EngineeringOsaka UniversityOsakaJapan computer Science and engineering Department Oakland UniversityRochesterUSA Department of electrical and computer engineering Hawassa UniversityHawassa 1530Ethiopia faculty of mechanical and electrical engineering Tishreen UniversityLattakiaSyria Department of electrical engineering National Institute of Technology Kurukshetra Department of Management&Innovation Systems University of Salerno84084 SalernoItaly

Agents are intelligent entities that act flexibly and autonomously and make wise decisions based on their intelligence and experience.A multi-agent system(MAS)contains multiple,intelligent,and interconnected collaborating agents for solving a problem beyond the ability of a single agent.A smart grid(SG)combines advanced intelligent systems,control techniques,and sensing methods with an existing utility power network.For controlling smart grids,various control systems with different architectures have already been developed.MAS-based control of power system operations has been shown to overcome the limitations of time required for analysis,relaying,and protection;transmission switching;communication protocols;and management of plant control.These systems provide an alternative for fast and accurate power network control.This paper provides a comprehensive overview of MASs used for the control of smart grids.The paper provides a wide-spectrum view of the status of smart grids,MAS-based control techniques and their implementation for the control of smart grids.Use of MASs in the control of various aspects of smart grids-including the management of energy,marketing energy,pricing,scheduling energy,reliability,network security,fault handling capability,communication between agents,SG-electrical vehicles,SG-building energy systems,and soft grids—have been critically reviewed.More than a hundred publications on the topic of MAS-based control of smart grids have been critically examined,classified,and arranged for fast reference.

关键词： Coordinated control multi-agent systems renewable energy sources smart energy infrastructure smart grid

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Flexible pressure sensors with ultrahigh stress tolerance enabled by periodic microslits

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Microsystems & Nanoengineering 2024年第1期10卷 301-311页

作者： Song Wang Chenying Wang Yifan Zhao Yujing Zhang Yaxin Zhang Xiangyue Xu Qijing Lin Kai Yao Yuheng Wang Feng Han Yu Sun Zhuangde Jiang State Key Laboratory for Manufacturing Systems engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’anChina State Key Laboratory for Manufacturing Systems engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesSchool of Instrument Science and TechnologyXi’an Jiaotong UniversityXi’anChina The faculty of electrical engineering and computer Science Ningbo UniversityNingboChina Department of mechanical and Industrial engineering University of TorontoTorontoCanada

Stress tolerance plays a vital role in ensuring the effectiveness of piezoresistive sensing films used in flexible pressure sensors.However,existing methods for enhancing stress tolerance employ dome-shaped,wrinkle-shaped,and pyramidal-shaped microstructures in intricate molding and demolding processes,which introduce significant fabrication challenges and limit the sensing performance.To address these shortcomings,this paper presents periodic microslits in a sensing film made of multiwalled carbon nanotubes and polydimethylsiloxane to realize ultrahigh stress tolerance with a theoretical maximum of 2.477 MPa and a sensitivity of 18.092 kPa−1.The periodic microslits permit extensive deformation under high pressure(e.g.,400 kPa)to widen the detection range.Moreover,the periodic microslits also enhance the sensitivity based on simultaneously exhibiting multiple synapses within the sensing interface and between the periodic sensing cells.The proposed solution is verified by experiments using sensors based on the microslit strategy for wind direction detection,robot movement sensing,and human health monitoring.In these experiments,vehicle load detection is achieved for ultrahigh pressure sensing under an ultrahigh pressure of over 400 kPa and a ratio of the contact area to the total area of 32.74%.The results indicate that the proposed microslit strategy can achieve ultrahigh stress tolerance while simplifying the fabrication complexity of preparing microstructure sensing films.

关键词： robot shaped stress

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