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Zero group velocity longitudinal modes in an isotropic cylinder

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Acta Mechanica Sinica 2018年第3期34卷 475-481页

作者： Takasar hussain Faiz Ahmad Muhammad Ozair Department of Mathematics COMSATS Institute of Information Technology School of Natural Sciences National University of Sciences and Technology

Zero group velocity （ZGV） modes are studied in an isotropic cylinder. The L （0, 2） mode behaves anomalously for the materials with a value of the bulk velocity ratio, to, in the range √2 〈 κ 〈 2.64 and normally otherwise. All higher modes, except the first few, have no ZGV point for all isotropic materials. This is explained analytically by finding the slope of phase velocity dispersion curves of modes first when the phase velocity equals κ and then at their initial state.

关键词： Isotropic cylinder Longitudinal modes Zerogroup velocity point

Emerging trends of electrocatalytic technologies for renewable hydrogen energy from seawater:Recent advances,challenges,and techno-feasible assessment

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Journal of Energy Chemistry 2023年第5期80卷 658-688,I0014页

作者： Obaid Fahad Aldosari Ijaz hussain Zuhair Malaibari Department of Chemistry College of ScienceMajmaah UniversityP.O.Box 66Majmaah 11952Saudi Arabia Center for Refining&Advanced Chemicals King Fahd University of Petroleum&MineralsDhahran 31261Saudi Arabia Department of Chemical Engineering King Fahd University of Petroleum&MineralsDhahran 31261Saudi Arabia

Hydrogen has been regarded as a promising renewable and green energy source to meet energy needs and attain net-zero carbon *** electrolysis of seawater to make hydrogen is one of the fascinating developments of the twenty-first *** method uses abundant and relatively inexpensive seawater,as opposed to freshwater,which is rare and can be prohibitively *** recent years,significant research and advancements have been made in direct seawater electrolysis technology for hydrogen ***,producing highly effective and efficient electrocatalysts with long-term viability under harsh corrosive conditions remains a challenging and severe topic for large-scale seawater electrolysis *** is still a large accomplishment gap in understanding how to improve seawater electrolysis to increase hydrogen yields and prolong *** is,therefore,crucial to have a condensed knowledge of the tunable and inherent interactions between various electrocatalysts,covering electrolyzer types and paying particular attention to those with high efficiency,chemical stability,and *** extensive discussion is structured into a progression from noble metals to base metal compounds such as oxides,alloys,phosphides,chalcogenides,hydroxides,and nitrides,MXene-based complexes with a concise examination of hybrid *** addition,proton exchange membranes,anion exchange membranes,alkaline water electrolyzers,and high-temperature water electrolyzers were potential contributors to seawater’s *** extensive assessment of the techno-feasibility,economic insights,and future suggestions was done to commercialize the most efficient electrocatalytic systems for hydrogen *** review is anticipated to provide academics,environmentalists,and industrial researchers with valuable ideas for constructing and modifying seawater-based electrocatalysts.

关键词： Seawater splitting Hydrogen production Electrolysis Electrocatalysts Electrolyzers Techno-feasible analysis Review

A novel reusable anti-COVID-19 transparent face respirator with optimized airflow

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Bio-Design and Manufacturing 2021年第1期4卷 1-9页

作者： hussain Alenezi Muhammet Emin Cam Mohan Edirisinghe Department of Mechanical Engineering University College LondonTorrington PlaceLondon WC1E 7JEUK Department of Manufacturing Engineering College of Technological StudiesPAAET13092 Kuwait CityKuwait Center for Nanotechnology and Biomaterials Application and Research Marmara University34722 IstanbulTurkey

This novel face mask is designed to be a reusable respirator with a small and highly efficient disposable fabric *** material requirements are reduced by 75%compared to traditional designs and allow repeated cleaning or *** probability of virus particle inhalation is reduced using novel air filtration pathways,through square-waveform design to increase filter *** enters the mask from right and left side filters,while the area in front of the mouth is *** epoxy is used for a transparent frame,allowing lip-reading,and mask edges contain a silicone seal preventing bypass of the *** mask is manufactured using silicone molds,eliminating electricity requirements making it economical and viable in developing *** fluid dynamics numerical studies and Fluent ANSYS software were used to simulate airflow through the filter to optimize filter air path geometry and validate mask design with realistic human *** breathing cycle was represented as a transient function,and N95 filter specifications were selected as a porous *** novel design achieved 1.2×10^(−3) kg s^(−1),20%higher than human requirements,with air streamlines velocity indicating local high speed,forcing and trapping virus particles against filter walls through centrifugal forces.

关键词： COVID-19 Mask Prototype Flow Pressure Temperature

Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors

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Computer Modeling in Engineering & Sciences 2022年第11期133卷 435-470页

作者： Majid hussain Tayab Din Memon Imtiaz hussain Zubair Ahmed Memon Dileep Kumar Department of Electronic Engineering Quaid-e-Awam University of Engineering Science and TechnologyNawabshah67480Pakistan NCRA Condition Monitoring Systems Lab Mehran University of Engineering and TechnologyJamshoro76062Pakistan Department of Electronic Engineering Mehran University of Engineering and TechnologyJamshoro76062Pakistan Design and Creative Technology Torrens University AustraliaMelbourneAustralia Department of Electronics and Power Engineering Pakistan Navy Engineering College NUSTKarachi75350Pakistan

Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted as a useful approach to avoiding plant disturbances and ***,Motor Current Signature Analysis(MCSA)is widely reported as a condition monitoring technique in the detection and identification of individual andmultiple Induction Motor(IM)***,checking the fault detection and classification with deep learning models and its comparison among them selves or conventional approaches is rarely reported in the ***,in this work,wepresent the detection and identification of induction motor faults with MCSA and three Deep Learning(DL)models namely MLP,LSTM,and ***,we have developed the model of Squirrel Cage induction motor in MATLAB and simulated it for single phasing and stator winding faults(SWF)using Fast Fourier Transform(FFT),Short Time Fourier Transform(STFT),and Continuous Wavelet Transform(CWT)to detect and identify the healthy and unhealthy conditions with phase to ground,single phasing and in multiple fault conditions using Motor Current Signature *** faults impact on stator current is presented in the time and frequency domain(i.e.,power spectrum).The simulation results show that the scalogram has shown good results in time-frequency analysis for fault and showing its impact on the energy of current during individual fault and multiple fault *** is further investigated with three deep learning models(i.e.,MLP,LSTM,and 1D-CNN)for checking the fault detection and identification(i.e.,classification)improvement in a three-phase induction *** simulating the three-phase induction motor in various healthy and unhealthy conditions in MATLAB,we have collected current signature data in the time domain,labeled them accordingly and created the 50 thousand samples dataset for DL *** the DL models are trained and validated with a suitable number of architecture *** simulation,the multiclass confusion

关键词： Condition monitoring motor fault diagnosis stator winding faults deep learning signal processing

MHD flow of a viscous fluid on a nonlinear porous shrinking sheet with homotopy analysis method

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Applied Mathematics and Mechanics(English Edition) 2009年第12期30卷 1569-1578页

作者： S. Nadeem Anwar hussain Department of Mathematics Quaid-i-Azam University

The present paper investigates the magnetohydrodynamic（MHD） flow of a viscous fluid towards a nonlinear porous shrinking *** governing equations are simplified by similarity *** reduced problem is then solved by the homotopy analysis *** pertinent parameters appearing in the problem are discussed graphically and presented in *** is found that the shrinking solutions exist in the presence of *** is also observed from the tables that the solutions for f（0） with different values of parameters are convergent.

关键词： MHD flow stagnation flow shrinking sheet homotopy analysis method

Optimizing Optical Fiber Faults Detection:A Comparative Analysis of Advanced Machine Learning Approaches

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Computers, Materials & Continua 2024年第5期79卷 2697-2721页

作者： Kamlesh Kumar Soothar Yuanxiang Chen Arif hussain Magsi Cong Hu hussain Shah School of Electronics Engineering Beijing University of Posts and TelecommunicationsBeijing100876China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an710071China State Key Laboratory ofNetworking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China

Efficient optical network management poses significant importance in backhaul and access network communicationfor preventing service disruptions and ensuring Quality of Service(QoS)*** emerging faultsin optical networks introduce challenges that can jeopardize the network with a variety of *** existingliterature witnessed various partial or inadequate *** the other hand,Machine Learning(ML)hasrevolutionized as a promising technique for fault detection and *** traditional fault managementsystems,this research has three-fold ***,this research leverages the ML and Deep Learning(DL)multi-classification system and evaluates their accuracy in detecting six distinct fault types,including fiber cut,fibereavesdropping,splicing,bad connector,bending,and PC ***,this paper assesses the classificationdelay of each classification ***,this work proposes a fiber optics fault prevention algorithm thatdetermines to mitigate the faults *** work utilized a publicly available fiber optics dataset namedOTDR_Data and applied different ML classifiers,such as Gaussian Naive Bayes(GNB),Logistic Regression(LR),Support Vector Machine(SVM),K-Nearest Neighbor(KNN),Random Forest(RF),and Decision Tree(DT).Moreover,Ensemble Learning(EL)techniques are applied to evaluate the accuracy of various *** addition,this work evaluated the performance of DL-based Convolutional Neural Network and Long-Short Term Memory(CNN-LSTM)hybrid *** findings reveal that the CNN-LSTM hybrid technique achieved the highestaccuracy of 99%with a delay of 360 *** the other hand,EL techniques improved the accuracy in detecting fiberoptic ***,this research comprehensively assesses accuracy and delay metrics for various classifiers andproposes the most efficient attack detection system in fiber optics.

关键词： Fiber optics fault detection multiclassification machine learning ensemble learning

An AMC-Based Circularly Polarized Antenna for 5G sub-6 GHz Communications

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Computers, Materials & Continua 2021年第12期69卷 2997-3013页

作者： hussain Askari Niamat hussain Domin Choi MdAbu Sufian Anees Abbas Nam Kim Department of Information and Communication Chungbuk National UniversityCheongju28644Korea

This paper presents an AMC(artificial magnetic conductor)-based wideband circularly polarized printed monopole antenna for unidirectional *** antenna includes an AMC reflector,a coplanar waveguide(CPW)feed structure to excite the antenna,a ground plane with a rectangular slot on the left side of feedline,and an asymmetrical ground plane on its right *** induced surface currents on CWP feedline,rectangularly slotted,and asymmetrical ground planes cause circularly polarized *** AMC reflector consisting periodic metallic square patches is used instead of the conventional PEC(perfect electric conductor)reflector,the distance between the antenna and reflector is reduced from 0.25λ0 to 0.18λ0 with performance *** incorporating AMC layer with the monopole antenna,the gain of antenna is increased from 3.3 dBic to 8.7 dBic while the axial ratio bandwidth(ARBW)of antenna is increased from 27.27%to 51.67%.The simulated and measured results show that the proposed antenna has an overlapping 10-dB|S_(11)|and 3-dB ARBW of 51.67%(3.0–5.09 GHz).The overall dimensions of monopole antenna backed by AMC reflector is 1.20_(λ0)×1.20_(λ0)×0.21_(λ0) and covers 5G sub-6 GHz new radio bands(n77/n78/n79)for wireless communication systems.

关键词： Monopole antenna circular polarization axial ratio AMC

Application of Ceramic Film as Means of Lubrication for Forming of TiSheet in a Highly Localized Deformation Process

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Journal of Wuhan University of Technology(Materials Science) 2014年第5期29卷 1023-1027页

作者： GHULAM hussain ASIF Iqbal Department of Mechanical Engineering Eastern Mediterranean UniversityG. Magusa N. Cyprus Turkey Department of Mechanical and Aerospace Engineering Air UniversityIslamabad Pakistan

Incremental forming is a novel die-less sheet forming process. There is a need for special means to retain lubricant at the tool/sheet interface during forming. To fulfillthe stated aim, a porous ceramic film was developed on pure Ti substrate, and it was done through an electrochemical depsition process known as plasma electrolytic oxidation. The film with preferred pore size could be realized after several attempts by varying the processing parameters. In order to characterize the film, a variety of tests including rnicrostructure, film-substrate bond strength and tribological properties tests were conducted. On-job performance of the film was also examined by forming Ti components employing a range of forming conditions. It was found that the proposed method of lubrication was effective, and the plasma eletrolytic oxidation process can be employed to fabricate films on pure Ti sheet to provide means of lubrication during incremental forming.

关键词： surface film characterization plasma electrolytic oxidation incremental forming pure titanium

Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN

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Computers, Materials & Continua 2024年第6期79卷 3585-3629页

作者： Imtiaz Ahmad Tariq hussain Babar Shah Altaf hussain Iqtidar Ali Farman Ali Institute of Computer Sciences and Information Technology The University of AgriculturePeshawarPakistan School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhouChina College of Technological Innovation Zayed UniversityDubaiUnited Arab Emirates School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Department of Applied AI School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063South Korea

Numerous wireless networks have emerged that can be used for short communication ranges where the infrastructure-based networks may fail because of their installation and *** of them is a sensor network with embedded sensors working as the primary nodes,termed Wireless Sensor Networks(WSNs),in which numerous sensors are connected to at least one Base Station(BS).These sensors gather information from the environment and transmit it to a BS or gathering *** have several challenges,including throughput,energy usage,and network lifetime *** strategies have been applied to get over these *** may,therefore,be thought of as the best way to solve such ***,it is crucial to analyze effective Cluster Head(CH)selection to maximize efficiency throughput,extend the network lifetime,and minimize energy *** paper proposed an Accelerated Particle Swarm Optimization(APSO)algorithm based on the Low Energy Adaptive Clustering Hierarchy(LEACH),Neighboring Based Energy Efficient Routing(NBEER),Cooperative Energy Efficient Routing(CEER),and Cooperative Relay Neighboring Based Energy Efficient Routing(CR-NBEER)*** the help of APSO in the implementation of the WSN,the main methodology of this article has taken *** simulation findings in this study demonstrated that the suggested approach uses less energy,with respective energy consumption ranges of 0.1441 to 0.013 for 5 CH,1.003 to 0.0521 for 10 CH,and 0.1734 to 0.0911 for 15 *** sending packets ratio was also raised for all three CH selection scenarios,increasing from 659 to *** number of dead nodes likewise dropped for the given combination,falling between 71 and *** network lifetime was deemed to have risen based on the results found.A hybrid with a few valuable parameters can further improve the suggested APSO-based *** to underwater,WSN can make use of the proposed *** overall results have been evaluated and

关键词： Wireless sensor network cluster head selection low energy adaptive clustering hierarchy accelerated particle swarm optimization