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Structural Thermal Stability of Graphene Oxide-Doped Copper–Cobalt Oxide Coatings as a Solar Selective Surface

Journal of Materials Science & Technology 2016年第11期32卷 1179-1191页

作者： M.Mahbubur Rahman Zhong-Tao Jiang Chun-Yang Yin Lee Siang Chuah Hooi-Ling Lee amun amri Bee-Min Goh Barry J.Wood Chris Creagh Nicholas Mondinos Mohmmednoor Altarawneh Bogdan Z.Dlugogorski Surface Analysis and Materials Engineering Research Group School of Engineering & Information Technology Murdoch University Murdoch Western Australia 6150 Australia School of Sdence & Engineering Teesside University Borough Road Middlesbrough TSI 3BA United Kingdom Department of Physics School of Distance Education Universiti Sains Malaysia Minden 11800 Penang Malaysia Department of Chemistry School of Chemical Sciences Universiti Sains Malaysia Minden 11800 Penang Malaysia Department of Chemical Engineering Universitas Riau Pekanharu Indonesia School of Chemistry Bedson Building Newcastle University NE1 7RU United Kingdom School of Chemistry The University of Queensland St. Luda OLD 4072 Australia School of Engineering & Information Technology Murdoch University Murdoch Western Australia 6150 Australia

3d transition metal oxides based thin film coatings such as copper–cobalt oxides exhibit high absorption in the visible region and low emittance in the infrared to far-infrared region of the solar spectrum which is favourable for use as potential selective surface materials in photothermal devices. These materials have the potential to minimize heating while increasing absorption in the operative spectrum range and therefore achieve higher solar selectivity. A series of mixed copper–cobalt metal spinel oxides（Cu_xCo_yO_z）doped with graphene oxide thin films were deposited on commercial grade aluminium substrates using a sol-gel dip-coating technique at an annealing temperature of 500 °C in air for 1 h. Characterizations of the synthesized films were carried out by high temperature synchrotron radiation X-ray Diffraction（SRXRD）, UV–Vis, Fourier Transform infrared spectroscopy（FTIR） and X-ray photoelectron microscopy（XPS）techniques. High thermal stability of coatings with multiple phases, binary and ternary metal oxides, was defined through SR-XRD study. FTIR analysis shows moderate（〈80%） to high（up to 99%） reflectance in the infrared region while the UV–Vis investigations demonstrate that, in the visible region, solar absorption increases gradually（up to 95%） with the addition of graphene oxide to the Cu_x Co_y O_z *** the incorporation of 1.5 wt.% of graphene oxide to the copper–cobalt oxide coatings, a high solar selectivity of 29.01（the ratio of the average solar absorptance in visible and the average thermal emittance in infrared to far infrared region; α/ε） was achieved.

关键词： Coatings Sol-gel method Synchrotron radiation Fourier transform infrared spectroscopy X-ray diffraction X-ray photoelectron spectroscopy

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Finite element method resolution and error estimators for p-Laplacian problem with a new boundary condition

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Acta Mathematica Sinica,English Series 2024年

作者： Omar EL MOUTEA Hassan EL amri Laboratory of Mathematics and Applications ENS Hassan Ⅱ University

In this article, we discuss the approach to solving a nonlinear PDE equation, specifically the p-Laplacian equation, with a general (nonlinear) boundary condition. We establish the existence and uniqueness of the solution, subject to certain assumptions outlined in this paper. To solve our nonlinear problem using the Finite Element Method (FEM), we derive an appropriate variational ***, we introduce a study of the residual a posteriori-error indicator, establishing both upper and lower bounds to control the error. The upper bound is determined using averaging interpolators in some Quasi-norms defined by Barrett and Liu. Furthermore, we prove the equivalence between the residual error and the true error e=u-uh. Lastly, we perform a simulation of the p-Laplacian problem in the L-shape domain using a Matlab program in two-dimensional space.

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An Effective Secure MAC Protocol for Cognitive Radio Networks

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Computer Systems Science & Engineering 2022年第7期42卷 133-148页

作者： Bayan Al-amri Gofran Sami Wajdi Alhakami Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science Joint First Year DeanshipUmm Al-Qura UniversityMakkah21955Saudi Arabia

The vast revolution in networking is increasing rapidly along with tech-nology advancements,which requires more effort from all cyberspace profes-sionals to cope with the challenges that come with advanced technology privileges and ***,Cognitive Radio Network is one of the promising approaches that permit a dynamic type of smart network for improving the utili-zation of idle spectrum portions of wireless ***,it is vul-nerable to security threats and attacks and demands security mechanisms to preserve and protect the cognitive radio networks for ensuring a secure commu-nication *** paper presents an effective secure MAC protocol for cognitive radio networks,signiﬁcantly enhancing the security level of the existing DSMCRN and SSMCRN protocols by eliminating the authentication server’s necessity,which can be a single point of failure to compromise the entire network *** proposed protocol has proven to be effective and reliable since it does not rely on a centralized entity for providing the required security for a single pair of cognitive *** protocol also improves the performance in the context of fast switching to data channels leading to higher throughput is achieved compared to the benchmark protocols.

关键词： Cognitive radio networks shared key authentication elliptic curve cryptography throughput

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Mutation Prediction for Coronaviruses Using Genome Sequence and Recurrent Neural Networks

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Computers, Materials & Continua 2022年第10期73卷 1601-1619页

作者： Pranav Pushkar Christo Ananth Preeti Nagrath Jehad F.Al-amri Vividha Anand Nayyar Bharati Vidyapeeth’s College of Engineering New Delhi110063India Department of Natural and Exact Sciences Samarkand State UniversitySamarkandUzbekistan Graduate School Duy Tan UniversityDa Nang550000Viet Nam Faculty of Information Technology Duy Tan UniversityDa Nang550000Viet Nam Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The study of viruses and their genetics has been an opportunity as well as a challenge for the scientific *** recent ongoing SARSCov2(Severe Acute Respiratory Syndrome)pandemic proved the unpreparedness for these *** only the countermeasures for the effect caused by virus need to be tackled but the mutation taking place in the very genome of the virus is needed to be kept in check *** major way to find out more information about such pathogens is by extracting the genetic data of such *** genetic data of viruses have been cultured and stored as well as isolated in form of their genome sequences,there is still limited methods on what new viruses can be generated in future due to *** research proposes a deep learning model to predict the genome sequences of the SARS-Cov2 virus using only the previous viruses of the coronaviridae family with the help of RNN-LSTM(Recurrent Neural Network-Long ShortTerm Memory)and RNN-GRU(Gated Recurrent Unit)so that in the future,several counter measures can be taken by predicting possible changes in the genome with the help of existing mutations in the *** the process of testing the model,the F1-recall came out to be more than *** mutation detection’s accuracy of both the models come out about 98.5%which shows the capability of the recurrent neural network to predict future changes in the genome of virus.

关键词： COVID-19 genome sequence coronaviridae RNN-LSTM RNN-GRU

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Analyzing the Implications of COVID-19 Pandemic through an Intelligent-Computing Technique

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Computer Systems Science & Engineering 2022年第6期41卷 959-974页

作者： Abhishek Kumar Pandey Jehad F.Al-amri Ahmad F.Subahi Rajeev Kumar Raees Ahmad Khan Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science University College of Al JamoumUmm Al Qura UniversityMakkah21421Saudi Arabia Department of Computer Applications Shri Ramswaroop Memorial UniversityBarabanki225003India

The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2 virus or COVID-19) disease was declared pandemic by the WorldHealth Organization (WHO) on March 11, 2020. COVID-19 has already affectedmore than 211 nations. In such a bleak scenario, it becomes imperative to analyzeand identify those regions in Saudi Arabia that are at high risk. A preemptivestudy done in the context of predicting the possible COVID-19 hotspots wouldfacilitate in the implementation of prompt and targeted countermeasures againstSARS-CoV-2, thus saving many lives. Working towards this intent, the presentstudy adopts a decision making based methodology of simulation named Analytical Hierarchy Process (AHP), a multi criteria decision making approach, forassessing the risk of COVID-19 in different regions of Saudi Arabia. AHP givesthe ability to measure the risks numerically. Moreover, numerical assessments arealways effective and easy to understand. Hence, this research endeavour employsFuzzy based computational method of decision making for its empirical *** in the proposed paper suggest that Riyadh and Makkah are the mostsusceptible regions, implying that if sustained and focused preventive measuresare not introduced at the right juncture, the two cities could be the worst afflictedwith the infection. The results obtained through Fuzzy based computationalmethod of decision making are highly corroborative and would be very usefulfor categorizing and assessing the current COVID-19 situation in the Kingdomof Saudi Arabia. More specifically, identifying the cities that are likely to beCOVID-19 hotspots would help the country’s health and medical fraternity toreinforce intensive containment strategies to counter the ills of the pandemic insuch regions.

关键词： COVID-19 Saudi Arabian regions risk assessment dynamics of infection fuzzy AHP

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P-ACOHONEYBEE: A Novel Load Balancer for Cloud Computing Using Mathematical Approach

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Computers, Materials & Continua 2022年第10期73卷 1943-1959页

作者： Sunday Adeola Ajagbe Mayowa O.Oyediran Anand Nayyar Jinmisayo A.Awokola Jehad F.Al-amri Computer Engineering Department Ladoke Akintola University of TechnologyLAUTECHOgbomosoNigeria Computer Science Department Ajayi Crowther UniversityOyoNigeria Graduate School Faculty of Information TechnologyDuy Tan UniversityDa NangVietnam Department of Computer Sciences Precious Cornerstone UniversityIbadanNigeria Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Cloud computing is a collection of disparate resources or services,a web of massive infrastructures,which is aimed at achieving maximum utilization with higher availability at a minimized *** of the most attractive applications for cloud computing is the concept of distributed information ***,privacy,energy saving,reliability and load balancing are the major challenges facing cloud computing and most information technology *** balancing is the process of redistributing workload among all nodes in a network;to improve resource utilization and job response time,while avoiding overloading some nodes when other nodes are underloaded or idle is a major ***,this research aims to design a novel load balancing systems in a cloud computing *** research is based on the modification of the existing approaches,namely;particle swarm optimization(PSO),honeybee,and ant colony optimization(ACO)with mathematical expression to form a novel approach called *** experiments were conducted on response time and *** results of the response time of honeybee,PSO,SASOS,round-robin,PSO-ACO,and P-ACOHONEYBEE are:2791,2780,2784,2767,2727,and 2599(ms)*** outcome of throughput of honeybee,PSO,SASOS,round-robin,PSO-ACO,and P-ACOHONEYBEE are:7451,7425,7398,7357,7387 and 7482(bps)*** is observed that P-ACOHONEYBEE approach produces the lowest response time,high throughput and overall improved performance for the 10 *** research has helped in managing the imbalance drawback by maximizing throughput,and reducing response time with scalability and reliability.

关键词： ACO cloud computing load balancing swarm intelligence PSO P-ACOHONEYBE honeybee swarm

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The Gain Equation of a Helical Wiggler Free Electron Laser with Ion-Channel Guiding and/or an Axial Magnetic Field

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Chinese Physics Letters 2013年第3期30卷 56-59页

作者： Taghi Mohsenpour Hassan Ehsani amri Department of Physics Faculty of Basic SciencesMazandaran UniversityBabolsarIran Department of Physics Islamic Azad UniversityNour BranchIran

Electron motion in the combined ion-channel,helical wiggler and axial magnetic fields is analyzed in the absence of a radiation *** analysis of the gain equation in a free-electron laser is *** calculations are made to illustrate the effects of the two electron-beam guiding devices on the gain when applied separately and simultaneously.

关键词： Electron Wiggler Channel

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Healthcare Device Security Assessment through Computational Methodology

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Computer Systems Science & Engineering 2022年第5期41卷 811-828页

作者： Masood Ahmad Jehad F.Al-amri Ahmad F.Subahi Sabita Khatri Adil Hussain Seh Mohd Nadeem Alka Agrawal Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science University College of Al JamoumUmm Al Qura UniversityMakkah21421Saudi Arabia

The current study discusses the different methods used to secure healthcare devices and proposes a quantitative framework to list them in order of *** study uses the Hesitant Fuzzy(HF),Analytic Hierarchy Process(AHP)integrated with Fuzzy Technical for Order Preference by Similarities to Ideal Solution(TOPSIS)to classify the best alternatives to security techniques for healthcare devices to securing the *** technique is enlisted to rate the alternatives based on the degree of satisfaction of their *** ranks of the alternatives consequently decide the order of priority for the techniques.A1 was the most probable alternative of all the alternatives,according to the ranks of the alternatives *** means that the security of A2 healthcare devices is the greatest of all the alternatives picked.A corroborative guide for the developers and the makers in quantitatively determining the security of healthcare devices to engineer efficacious devices will be the findings drawn up with the assistance of the proposed *** assessments performed using the proposed framework are systematic,precise,and ***,the results of the present empirical analysis are a stronger and accurate choice than the manual assessment of the device’s security.

关键词： Healthcare devices HF-AHP.TOPSIS device security

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Butterfly Optimized Feature Selection with Fuzzy C-Means Classifier for Thyroid Prediction

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Intelligent Automation & Soft Computing 2023年第3期35卷 2909-2924页

作者： S.J.K.Jagadeesh Kumar P.Parthasarathi Mehedi Masud Jehad F.Al-amri Mohamed Abouhawwash Department of Computer Science and Engineering Kathir College of EngineeringCoimbatore641062India Department of Computer science and Engineering Bannari Amman Institute of TechnologySathyamangalam638401TamilnaduIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.BOX 11099Taif21944Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura 35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

The main task of thyroid hormones is controlling the metabolism rate of humans,the development of neurons,and the signiﬁcant growth of reproductive *** medical science,thyroid disorder will lead to creating thyroiditis and thyroid *** two main thyroid disorders are hyperthyroidism and *** research works focus on the prediction of thyroid *** improve the accuracy in the classiﬁcation of thyroid disorder this paper pro-poses optimization-based feature selection by using differential evolution with the Butterﬂy optimization algorithm(DE-BOA).For the classiﬁer fuzzy C-means algorithm(FCM)is *** proposed DEBOA-FCM is evaluated with para-metric metric measures of sensitivity,speciﬁcity,and *** this work,the thyroid disease dataset collected from the machine learning University of Cali-fornia Irvine(UCI)database was *** accuracy rate for the Differential Evo-lutionary algorithm got 0.884,the Butterﬂy optimization algorithm got 0.906,Fuzzy C-Means algorithm got 0.899 and DEBOA+Focused Concept Miner(FCM)proposed work 0.943.

关键词： Fuzzy butterﬂy differential evolution thyroid hyperthyroid

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Behavior of Delivery Robot in Human-Robot Collaborative Spaces During Navigation

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Intelligent Automation & Soft Computing 2023年第1期35卷 795-810页

作者： Kiran Jot Singh Divneet Singh Kapoor Mohamed Abouhawwash Jehad F.Al-amri Shubham Mahajan Amit Kant Pandit Embedded Systems&Robotics Research Group Chandigarh UniversityMohali140413PunjabIndia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Electronics and Communication Shri Mata Vaishno Devi UniversityKatra182320India

Navigation is an essential skill for *** becomes a cumbersome task for the robot in a human-populated environment,and Industry 5.0 is an emerging trend that focuses on the interaction between humans and *** behavior in a social setting is the key to human acceptance while ensuring human comfort and *** the advancement in robotics technology,the true use cases of robots in the tourism and hospitality industry are expanding in *** are very few experimental studies focusing on how people perceive the navigation behavior of a delivery robot.A robotic platform named“PI”has been designed,which incorporates proximity and vision *** robot utilizes a real-time object recognition algorithm based on the You Only Look Once(YOLO)algorithm to detect objects and humans during *** study is aimed towards evaluating human experience,for which we conducted a study among 36 participants to explore the perceived social presence,role,and perception of a delivery robot exhibiting different behavior conditions while navigating in a hotel *** participants’responses were collected and compared for different behavior conditions demonstrated by the robot and results show that humans prefer an assistant role of a robot enabled with audio and visual aids exhibiting social ***,this study can be useful for developers to gain insight into the expected behavior of a delivery robot.

关键词： Human-robot interaction robot navigation robot behavior collaborative spaces industrial IoT industry 5.0

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