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Generating of Test Data by Harmony Search Against Genetic Algorithms

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Intelligent Automation & Soft Computing 2023年第4期36卷 647-665页

作者： Ahmed S.Ghiduk Abdullah alharbi Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics and Computer Science Faculty of ScienceBeni-Suef UniversityBeni-Suef62521Egypt

Many search-based algorithms have been successfully applied in sev-eral software engineering *** algorithms(GAs)are the most used in the scientiﬁc domains by scholars to solve software testing *** imi-tate the theory of natural selection and *** harmony search algorithm(HSA)is one of the most recent search algorithms in the last *** imitates the behavior of a musician toﬁnd the best *** have estimated the simi-larities and the differences between genetic algorithms and the harmony search algorithm in diverse research *** test data generation process represents a critical task in software ***,there is no work comparing the performance of genetic algorithms and the harmony search algorithm in the test data generation *** paper studies the similarities and the differences between genetic algorithms and the harmony search algorithm based on the ability and speed ofﬁnding the required test *** current research performs an empirical comparison of the HSA and the GAs,and then the signiﬁcance of the results is estimated using the *** study investigates the efﬁciency of the harmony search algorithm and the genetic algorithms according to(1)the time performance,(2)the signiﬁcance of the generated test data,and(3)the adequacy of the generated test data to satisfy a given testing *** results showed that the harmony search algorithm is signiﬁcantly faster than the genetic algo-rithms because the t-Test showed that the p-value of the time values is 0.026α.

关键词： Harmony search algorithm genetic algorithms test data generation

Deep Learning Prediction Model for NiCrAlY Diffusion Barrier Thickness for Tungsten Wires

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Computers, Materials & Continua 2022年第12期73卷 5755-5769页

作者： Amal H.alharbi Hanan A.Hosni Mahmoud Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In the last decades,technology has used Copper for IC interconnect and it has been the best material used in the wire ***,Copper is now showing inefficiency as downscaling is getting *** research starts to show Tungsten(W)as a possible replacement,for its better downsizing *** scaling-down of interconnects dimension has to be augmented with thin diffusion *** is crucial to subdue tungsten diffusion in the nickel-based thermal spray Flexicord(NiCrAlY)coating ***,diffusion barriers with thicknesses less than 4.3 nm do not to execute *** the introduction of two dimensional layers,hexagonal boron has been recommended as a substitute for Tungsten diffusion barrier layers with thicknesses less than 1.5 Nano meters(nm).Nevertheless,vacancies flaws may develop into a Tungsten dissemination path,which is a problematic issue in the manufacturing of diffusion *** energy layer density,of Tungsten atom diffusion via a di-vacancy in NiCrAlY,is computed by density functions *** has complex energy barrier which is thicker than other materials such as *** is due to the sturdier contact and charge variance of NI and Cr in ***,we utilize the energy barriers of several vacancy constructions and produce a dataset to be employed in the proposed 3-imensional deep learning model(3D-DNN).Our trained deep learning neural model can predict the energy barrier of Tungsten diffusion through arbitrarily configured NiCrAlY with accuracy greater than 98.4%in 5×5 *** results generate directors on selecting barriers through energy computation.

关键词： Deep learning tungsten NiCrAlY thickness barrier

A Deep Real-Time Fire Prediction Parallel D-CNN Model on UDOO BOLT V8

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Computers, Materials & Continua 2022年第12期73卷 6237-6252页

作者： Amal H.alharbi Hanan A.Hosni Mahmoud Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Hazardous incidences have significant influences on human life,and fire is one of the foremost causes of such hazard in most *** prediction and classification model from a set of fire images can decrease the risk of losing human lives and *** promotion of fire emergency can be of great ***,construction of these prediction models is relevant and *** article proposes an operative fire prediction model that depends on a prediction unit embedded in the processor UDOO BOLT V8 hardware to predict fires in real time.A fire image database is improved to enhance the images quality prior to classify them as either fire or *** proposed deep learning-based Very Deep Convolutional Networks Visual Geometry Group(VGG-16)model(Parallel VGG-16)is an enhanced version of the VGG-16 model,by incorporating parallel convolution layers and a fusion module for better *** experimental results validate the performance of the Parallel VGG-16 which achieves an accuracy of 97%,compared to the compared state-of-the-art ***,we integrate the prediction module into a UDOO BOLT V8 computer,which precisely controlled the fire alarm so that it can cautious people from fire in real *** this paper we propose a complete fire prediction model using a camera and the UDOO BOLT V8 embedded *** experiments validate the effectiveness and applicability of the proposed fire model.

关键词： Fire prediction UDOO BOLT V8 deep learning

Thomson effect with hyperbolic two-temperature on magneto-thermo-visco-elasticity

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Applied Mathematics and Mechanics(English Edition) 2021年第9期42卷 1311-1326页

作者： A.M.alharbi M.I.A.OTHMAN H.M.ATEF Department of Mathematics College of ScienceTaif UniveristyTaif 21944Saudi Arabia Department of Mathematics Faculty of ScienceZagazig UniversityZagazig 44519Egypt Department of Mathematics Faculty of ScienceDamanhur UniversityDamanhur 22511Egypt

The study considers a homogeneous isotropic thermo-visco-elastic solid with hyperbolic two-temperature to cope up with its two-dimensional(2 D)*** heat conduction equation is influenced by the Thomson ***-Shulman’s theory is used to modify the basic governing equations.A method called"normal mode analysis"is utilized to attain the magnetic field,stress,conductive and thermodynamic temperature,and displacement ***,a number of numerical calculations are performed and discussed to understand the impact of hyperbolic two-temperatures,Thomson parameter,and viscosity on the material mentioned above.

关键词： thermo-visco-elasticity magnetic field hyperbolic two-temperature Lord-Shulman’s theory Thomson coefficient normal mode analysis

An IoT Based Secure Patient Health Monitoring System

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Computers, Materials & Continua 2022年第2期70卷 3637-3652页

作者： Kusum Yadav Ali alharbi Anurag Jain Rabie A.Ramadan College of Computer Science and Engineering University of Ha’ilHa’ilKingdom of Saudi Arabia Virtualization Department School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradun-248007UttarakhandIndia

Internet of things(IoT)field has emerged due to the rapid growth of artificial intelligence and communication *** use of IoT technology in modern healthcare environments is convenient for doctors and patients as it can be used in real-time monitoring of patients,proper administration of patient information,and healthcare ***,the usage of IoT in the healthcare domain will become a nightmare if patient information is not securely maintainedwhile transferring over an insecure network or storing at the administrator *** this manuscript,the authors have developed a secure IoT healthcare monitoring system using the Blockchainbased XOR Elliptic Curve Cryptography(BC-XORECC)technique to avoid various vulnerable ***,thework has established an authentication process for patient details by generating tokens,keys,and tags using Length Ceaser Cipher-based PearsonHashingAlgorithm(LCC-PHA),EllipticCurve Cryptography(ECC),and Fishers Yates Shuffled Based Adelson-Velskii and Landis(FYS-AVL)*** authentications prevent unauthorized users from accessing or misuse the *** that,a secure data transfer is performed using BC-XORECC,which acts faster by maintaining high data privacy and blocking the path for the ***,the Linear Spline Kernel-Based Recurrent Neural Network(LSK-RNN)classification monitors the patient’s health *** whole developed framework brings out a secure data transfer without data loss or data breaches and remains efficient for health care monitoring via *** analysis shows that the proposed framework achieves a faster encryption and decryption time,classifies the patient’s health status with an accuracy of 89%,and remains robust comparedwith the existing state-of-the-art method.

关键词： Internet of things blockchain-based XOR elliptic curve cryptography linear spline kernel-based recurrent neural network health care monitoring length Ceaser cipher-based Pearson hashing algorithm elliptic curve cryptography fishers yates shuffled based Adelson-Velskii and Landis tree

Exact Solution of Non-Newtonian Blood Flow with Nanoparticles through Porous Arteries:A Comparative Study

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Computers, Materials & Continua 2020年第6期63卷 1143-1157页

作者： Wafaa alharbi Abdulrahman Aljohani Essam El-Zahar Abdelhalim Ebaid Department of Mathematics Faculty of ScienceUniversity of TabukTabuk71491Saudi Arabia Department of Mathematics College of Sciences and Humanities in Al-KharjPrince Sattam bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Basic Engineering Science Faculty of EngineeringMenofia UniversityShebin El-Kom32511Egypt

In this paper,the mathematical model describing the third-grade non-Newtonian blood flow suspended with nanoparticles through porous arteries is exactly *** present physical model was solved in the research literature via the optimal homotopy analysis method and the collocation method,where the obtained solution was compared with the numerical fourth-order Runge-Kutta ***,the present paper only introduces a new approach to obtain the exact solution of the concerned system and implements such exact solution as a reference to validate the published approximate *** remarks on the previously published results are observed and discussed in detail through tables and *** view of the present calculations,the obtained results in the literature by Ghasemi et al.[Ghasemi,Hatami,Sarokolaie et al.(2015)]may need ***,it is found that the obtained approximate results in the relevant literature agree with the current exact ones up to only two or three decimal places,at ***,the present approach along with the obtained results reflexes the effectiveness and efficiency of our analysis when compared with the corresponding study in the ***,the present results can be directly invested for similar future problems of the same constructions.

关键词： Nanofluid blood flow porous artery nanoparticle exact solution

IoT & AI Enabled Three-Phase Secure and Non-Invasive COVID 19 Diagnosis System

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Computers, Materials & Continua 2022年第4期71卷 423-438页

作者： Anurag Jain Kusum Yadav Hadeel Fahad alharbi Shamik Tiwari Virtualization Department School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradun248007UttarakhandIndia College of Computer Science and Engineering University of Ha’ilHa’ilKingdom of Saudi Arabia

Corona is a viral disease that has taken the form of an epidemic and is causing havoc worldwide after its first appearance in the Wuhan state of China in December *** to the similarity in initial symptoms with viral fever,it is challenging to identify this virus ***-detection of this virus at the early stage results in the death of the *** and densely populated countries face a scarcity of resources like hospitals,ventilators,oxygen,and healthcare *** like the Internet of Things(IoT)and artificial intelligence can play a vital role in diagnosing the COVID-19 virus at an early *** minimize the spread of the pandemic,IoT-enabled devices can be used to collect patient’s data remotely in a secure *** data can be analyzed through a deep learning model to detect the presence of the COVID-19 *** this work,the authors have proposed a three-phase model to diagnose covid-19 by incorporating a chatbot,IoT,and deep learning *** phase one,an artificially assisted chatbot can guide an individual by asking about some common *** case of detection of even a single sign,the second phase of diagnosis can be considered,consisting of using a thermal scanner and pulse *** case of high temperature and low oxygen saturation levels,the third phase of diagnosis will be recommended,where chest radiography images can be analyzed through an AI-based model to diagnose the presence of the COVID-19 virus in the human *** proposed model reduces human intervention through chatbot-based initial screening,sensor-based IoT devices,and deep learning-based X-ray *** also helps in reducing the mortality rate by detecting the presence of the COVID-19 virus at an early stage.

关键词： COVID-19 internet of things deep learning chatbot X-ray capsule network convolutional neural network

Leucine-rich repeat-containing G protein-coupled receptor 5 marks different cancer stem cell compartments in human Caco-2 and LoVo colon cancer lines

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World Journal of Gastroenterology 2021年第15期27卷 1578-1594页

作者： Samah Abdulaali alharbi Dmitry A Ovchinnikov Ernst Wolvetang Physiology Department College of MedicineUmm Al-Qura UniversityMakkah 24231Saudi Arabia Department of Stem Cell Engineering Group Australian Institute for Bioengineering and NanotechnologyThe University of QueenslandBrisbane 4072QLDAustralia Australian Institute for Bioengineering and Nanotechnology The University of QueenslandBrisbane 4072QLDAustralia

BACKGROUND Colon cancer cell lines are widely used for research and for the screening of drugs that specifically target the stem cell compartment of colon *** was reported that colon cancer carcinoma specimens contain a subset of leucine-rich repeatcontaining G protein-coupled receptor 5(LGR5)-expressing stem cells,these socalled“tumour-initiating”cells,reminiscent in their properties of the normal intestinal stem cells(ISCs),may explain the apparent heterogeneity of colon cancer cell ***,colon cancer is initiated by aberrant Wnt signaling in ISCs known to express high levels of ***,in vivo reports demonstrate the clonal expansion of intestinal adenomas from a single LGR5-expressing *** To investigate whether colon cancer cell lines contain cancer stem cells and to characterize these putative cancer stem *** A portable fluorescent reporter construct based on a conserved fragment of the LGR5 promoter was used to isolate the cell compartments expressing different levels of LGR5 in two widely used colon cancer cell lines(Caco-2 and LoVo).These cells were then characterized according to their proliferation capacity,gene expression signatures of ISC markers,and their tumorigenic properties in vivo and in *** The data revealed that the LGR5 reporter can be used to identify and isolate a classical intestinal crypt stem cell-like population from the Caco-2,but not from the LoVo,cell lines,in which the cancer stem cell population is more akin to B lymphoma Moloney murine leukemia virus insertion region 1 homolog(+4 crypt)stem *** sub-population within Caco-2 cells exhibits an intestinal cancer stem cell gene expression signature and can both self-renew and generate differentiated LGR5 negative *** data also show that cells expressing high levels of LGR5/enhanced yellow fluorescent protein(EYFP)from this cell line exhibit tumorigenic-like properties in vivo and in *** contrast,cell compartments of LoVo th

关键词： Colorectal cancer Colon cancer cell lines Intestinal stem cell Cancer stem cell Leucine-rich repeat-containing G protein-coupled receptor 5 Heterogenicity

Overflow phenomenon in serum lutein after supplementation:a systematic review supported with SNPs analyses

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International Journal of Ophthalmology(English edition) 2021年第7期14卷 1114-1119页

作者： Abdulrahman M alharbi Mohammed A Kilani Tos TJM Berendschot Clinical Biochemistry Unit Department of Pathology and Laboratory MedicineCollege of MedicineKing Saud UniversityRiyadh 11451Saudi Arabia Public Health Authority of Saudi Arabia Riyadh 13352Saudi Arabia University Eye Clinic Maastricht University Medical CenterMaastricht 6229HXThe Netherlands

Lutein,a type of carotenoids,is found to delay the onset and progression of age-related macular degeneration(AMD).Several lutein supplementation studies showed that after an initial increase,lutein serum levels demonstrated a subsequent decrease despite continuous *** this systematic literature review,this obscure phenomenon was tried to be *** subsequent drop in lutein levels was postulated due to down-regulation of lutein receptors scavenger receptor class B typeⅠ(SR-BI)in the gastrointestinal tract,upregulation of lutein degrading enzymeβ-carotene dioxygenase(BCDO2),or perhaps a combination of *** single nucleotides polymorphisms(SNPs)that could have influence on the occurrence of this *** date,an exact scientific explanation for this phenomenon has not been *** research is needed to investigate this phenomenon in depth to reach an irrefutable explanation,giving that lutein is proven to be effective in delaying the onset and progression of AMD and its metabolism in the human body becomes of equal importance.

关键词： lutein macular degeneration carotenoids xanthophylls β-carotene dioxygenase scavenger receptor class B typeⅠ