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Optimal Cooperative Spectrum Sensing Based on Butterfly Optimization Algorithm

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Computers, Materials & Continua 2022年第4期71卷 369-387页

作者： Noor Gul Saeed Ahmed atif Elahi Su Min Kim Junsu Kim Department of Electronics Engineering Korea Polytechnic University15073Gyeonggi-doKorea Department of Electronics University of Peshawar25120Pakistan Department of Electrical Engineering Mirpur University of Science of TechnologyAJ&K10250Pakistan Department of Electrical Engineering International Islamic UniversityIslamabad 44000Pakistan

Since the introduction of the Internet of Things(IoT),several researchers have been exploring its productivity to utilize and organize the spectrum *** radio(CR)technology is characterized as the best aspirant for wireless communications to augment IoT *** the CR networks,secondary users(SUs)opportunistically get access to the primary users(PUs)spectrum through spectrum *** multipath issues in the wireless channel can fluster the sensing ability of the individual ***,several cooperative SUs are engaged in cooperative spectrum sensing(CSS)to ensure reliable sensing *** CSS,security is still a major concern for the researchers to safeguard the fusion center(FC)against abnormal sensing reports initiated by the malicious users(MUs).In this paper,butterfly optimization algorithm(BOA)-based soft decision method is proposed to find an optimized weighting coefficient vector correlated to the SUs sensing *** coefficient vector is utilized in the soft decision rule at the FC before making any global *** effectiveness of the proposed scheme is compared for a variety of parameters with existing schemes through simulation *** results confirmed the supremacy of the proposed BOA scheme in both the normal SUs’environment and when lower and higher SNRs information is carried by the different categories of MUs.

关键词： Internet of Things cognitive radio network butterfly optimization algorithm particle swarm optimization malicious users genetic algorithm

Smart COVID-3D-SCNN: A Novel Method to Classify X-ray Images of COVID-19

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Computer Systems Science & Engineering 2022年第6期41卷 997-1008页

作者： Ahed Abugabah atif Mehmood Ahmad Ali A.L Zubi Louis Sanzogni College of Technological Innovation Zayed UniversityAbuDhabi CampusUAE School of Artificial Intelligence Xidian UniversityXian710071China Computer Science Department Community CollegeKing Saud UniversityP.O.Box 28095Riyadh 11437Saudi Arabia Nathan campus Griffith UniversityBrisbaneAustralia

The outbreak of the novel coronavirus has spread worldwide,and millions of people are being *** or detection classification is one of the first application areas of deep learning,which has a significant contribution to medical image *** classification detection,one or more images(detection)are usually used as input,and diagnostic variables(such as whether there is a disease)are used as *** novel coronavirus has spread across the world,infecting millions of ***-stage detection of critical cases of COVID-19 is essential.X-ray scans are used in clinical studies to diagnose COVID-19 and Pneumonia *** extracting the discriminative features through these modalities,deep convolutional neural networks(CNNs)are used.A siamese convolutional neural network model(COVID-3D-SCNN)is proposed in this study for the automated detection of COVID-19 by utilizing X-ray *** extract the useful features,we used three consecutive models working in parallel in the proposed *** acquired 575 COVID-19,1200 non-COVID,and 1400 pneumonia images,which are publicly *** our framework,augmentation is used to enlarge the *** findings suggest that the proposed method outperforms the results of comparative studies in terms of accuracy 96.70%,specificity 95.55%,and sensitivity 96.62%over(COVID-19 ***-COVID19 ***).

关键词： Convolutional neural network classification X-ray deep learning

Bioconvection Mangnetohydrodynamic Tangent Hyperbolic Nanofluid Flow with Quartic Chemical Reaction Past a Paraboloid Surface

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Computer Modeling in Engineering & Sciences 2022年第1期130卷 205-220页

作者： S.M.atif W.A.Khan Muhammad Abbas Umair Rashid Department of Mathematics Capital University of Science and TechnologyIslamabadPakistan Department of Mechanical Engineering College of EngineeringPrinceMohammad Bin Fahd UniversityAl KhobarSaudi Arabia Department of Mathematics University of SargodhaSargodhaPakistan CASKey Laboratory of Mechanical Behavior andDesign of Materials Department of Modern MechanicsUniversity of Science and Technology of ChinaHefeiChina

In this numerical study,the effect of quartic autocatalysis type of chemical reaction,buoyancy force and thermal radiation phenomenon and magnetic effect on tangent hyperbolic nanofluid past an upper horizontal surface of a paraboloid has been *** considering the Buongiorno model approach,a diffusion of unequal coefficients in the presence of gyrotactic microorganism is *** of microorganism’s idea is used to stabilize the nanoparticles through *** modeled PDEs of the problems are converted into nonlinear ODEs with the assistant of the similarity *** tackle nonlinear ODEs,MATLAB package bvp4c is *** addition,a hallmark of the Matlab code with the reported results in the literature is achieved by *** variations in motion,concentration,temperature,and motile density due to sundry parameters have been analyzed in-depth via *** analysis shows that the density profile of motile of microorganism is hiked with an increment in the bioconvection Rayleigh number but decreases for higher thermal Grashof number.

关键词： Quartic autocatalysis tangent hyperbolic nanofluid brownian motion paraboloid of revolution MHD flow thermophoresis

Articulating CO_(2)emissions limiting roles of nuclear energy and ICT under the EKC hypothesis:An application of non-parametric MMQR approach

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Geoscience Frontiers 2023年第5期14卷 72-90页

作者： atif Jahanger Umer Zaman Mohammad Razib Hossain Ashar Awan School of Economics Hainan UniversityHaikou 570228HainanChina Institute of Open Economy Hainan ProvinceHaikou 570228China Endicott College of International Studies Woosong UniversityDaejeon 34606South Korea School of Economics and Public Policy Adelaide Business SchoolThe University of AdelaideAustralia Department of Agricultural Finance and Cooperatives Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipurBangladesh University of Azad Jammu and Kashmir Pakistan NisanTasi University Graduate SchoolTurkey

Limiting toxic elements from being exposed to the world’s atmosphere has been the biggest challenge among environmental researchers and *** change conferences have been counselling the global economies to take serious steps toward profound decarbonization to keep the universal temperature below 1.5*** this context,the direction of environmental research has changed,and researchers are more focused on tracing how to limit pollution and keep it below the threshold *** this milieu,nuclear energy can make a big difference along with other alternatives to fossil ***,we extend the extant literature by exploring the dynamic effects of atomic energy and ICT on carbon emissions(CO_(2))for top nuclear energy countries using data from 1990 to *** obtain robust findings,we deploy a novel non-parametric econometric approach(i.e.,method of moments quantile regression).The results suggest that nuclear energy is a sustainable alternative to historical fossil fuel as it curbs CO_(2)emissions in the lower,middle,and upper ***,our findings corroborate that ICT penetration through the internet,mobile and telephone plays a vital role in improving environmental ***,we unveil that linear economic growth jeopardizes the environment by unleashing harmful *** findings also support the existence of the Environmental Kuznets Curve(EKC)hypothesis by confirming the negative association between the polynomial economic growth(squared-GDP)and CO_(2)emissions among the designated ***,the Granger causality test reaffirms the causal nexus among selected series that runs from nuclear energy and technological innovation to CO_(2)emissions,indicating that any policy shock in both series leads to environmental ***,therefore,advocate that the designated territories keep enriching their energy baskets with nuclear energy and boost ICT penetration to achieve a 100%decoupling of economic growth from pollution.

关键词： Nuclear energy Technological innovation ICT CO_(2) Method of Moments Quantile Regression (MMQR) EKC hypothesis

Automatic Detection of Nephrops Norvegicus Burrows from Underwater Imagery Using Deep Learning

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Computers, Materials & Continua 2022年第3期70卷 5321-5344页

作者： atif Naseer Enrique Nava Baro Sultan Daud Khan Yolanda Vila Jennifer Doyle ETSI Telecomunicación Universidad deMálagaMálaga29071Spain Department of Computer Science National University of TechnologyIslamabad44000Pakistan Instituto Espanol de Oceanografía Centro Oceanográfico de CádizCádiz39004Spain Marine Institute Rinville OranmoreIreland

The Norway lobster,Nephrops norvegicus,is one of the main commercial crustacean fisheries in *** abundance of Nephrops norvegicus stocks is assessed based on identifying and counting the burrows where they live from underwater videos collected by camera systems mounted on *** Spanish Oceanographic Institute(IEO)andMarine Institute Ireland(MIIreland)conducts annual underwater television surveys(UWTV)to estimate the total abundance of Nephrops within the specified area,with a coefficient of variation(CV)or relative standard error of less than 20%.Currently,the identification and counting of the Nephrops burrows are carried out manually by the marine *** is quite a time-consuming *** a solution,we propose an automated system based on deep neural networks that automatically detects and counts the Nephrops burrows in video footage with high *** proposed system introduces a deep-learning-based automated way to identify and classify the Nephrops *** research work uses the current state-of-the-art Faster RCNN models Inceptionv2 and MobileNetv2 for object detection and *** conduct experiments on two data sets,namely,the Smalls Nephrops survey(FU 22)and Cadiz Nephrops survey(FU 30),collected by Marine Institute Ireland and Spanish Oceanographic Institute,*** the results,we observe that the Inception model achieved a higher precision and recall rate than *** best mean Average Precision(mAP)recorded by the Inception model is 81.61%compared to MobileNet,which achieves the best mAP of 75.12%.

关键词： Faster RCNN computer vision nephrops norvegicus nephrops norvegicus stock assessment underwater videos classification

A Secure Method for Data Storage and Transmission in Sustainable Cloud Computing

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Computers, Materials & Continua 2023年第5期75卷 2741-2757页

作者： Muhammad Usman Sana Zhanli Li Tayybah Kiren Hannan Bin Liaqat Shahid Naseem atif Saeed College of Computer Science and Technology Xi’an University of Science and TechnologyXi’anShaanxi710054China Department of Computer Science(RCET Campus) University of Engineering and TechnologyLahore39161Pakistan Department of Information Sciences Division of Science&TechnologyUniversity of EducationLahore54700Pakistan Department of Computer Science COMSATS UniversityIslamabadLahore54700Pakistan

Cloud computing is a technology that provides secure storage space for the customer’s massive data and gives them the facility to retrieve and transmit their data efficiently through a secure network in which encryption and decryption algorithms are being *** cloud computation,data processing,storage,and transmission can be done through laptops andmobile *** Storing in cloud facilities is expanding each day and data is the most significant asset of *** important concern with the transmission of information to the cloud is security because there is no perceivability of the client’s *** have to be dependent on cloud service providers for assurance of the platform’s *** security and privacy issues reduce the progression of cloud computing and add ***;most of the data that is stored on cloud servers is in the form of images and photographs,which is a very confidential form of data that requires secured *** this research work,a public key cryptosystem is being implemented to store,retrieve and transmit information in cloud computation through a modified Rivest-Shamir-Adleman(RSA)algorithm for the encryption and decryption of *** implementation of a modified RSA algorithm results guaranteed the security of data in the cloud *** enhance the user data security level,a neural network is used for user authentication and ***;the proposed technique develops the performance of detection as a loss function of the bounding *** Faster Region-Based Convolutional Neural Network(Faster R-CNN)gets trained on images to identify authorized users with an accuracy of 99.9%on training.

关键词： Cloud computing data security RSA algorithm Faster R-CNN

Offshore Software Maintenance Outsourcing Process Model Validation:A Case Study Approach

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Computers, Materials & Continua 2023年第3期74卷 5035-5048页

作者： atif Ikram Masita Abdul Jalil Amir Bin Ngah Adel Sulaiman Muhammad Akram Ahmad Salman Khan Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala TerengganuMalaysia Department of Computer Science&Information Technology Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajranSaudi Arabia Department of Software Engineering Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan

The successful execution and management of Offshore Software Maintenance Outsourcing(OSMO)can be very beneficial for OSMO vendors and the OSMO *** a lot of research on software outsourcing is going on,most of the existing literature on offshore outsourcing deals with the outsourcing of software development *** frameworks have been developed focusing on guiding software systemmanagers concerning offshore software ***,none of these studies delivered comprehensive guidelines for managing the whole process of *** is a considerable lack of research working on managing OSMO from a vendor’s ***,to find the best practices for managing an OSMO process,it is necessary to further investigate such complex and multifaceted phenomena from the vendor’s *** study validated the preliminary OSMO process model via a case study research *** results showed that the OSMO process model is applicable in an industrial setting with few *** industrial data collected during the case study enabled this paper to extend the preliminary OSMO process *** refined version of the OSMO processmodel has four major phases including(i)Project Assessment,(ii)SLA(iii)Execution,and(iv)Risk.

关键词： Offshore outsourcing process model model validation vendor challenges case study

Ultrathin organic polymer with p-πconjugated structure for simultaneous photocatalytic disulfide bond generation and CO_(2)reduction

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Journal of Energy Chemistry 2023年第1期76卷 639-647,I0016页

作者： Linquan Hou Zhunyun Tang Guojiang Mao Shiheng Yin Bei Long Tao Ouyang Guo-Jun Deng atif Ali Ting Song Key Laboratory for Green Organic Synthesis and Application of Hunan Province Key Laboratory of Environmentally Friendly Chemistry and Application of Ministry of EducationCollege of ChemistryXiangtan UniversityXiangtan 411105HunanChina Hunan Key Laboratory for Micro-Nano Energy Materials and Device School of Physics and OptoelectronicsXiangtan UniversityXiangtan 411105HunanChina School of Chemistry and Chemical Engineering Henan Normal UniversityXinxiang 453007HenanChina Analytical and Testing Center South China University of TechnologyGuangzhou 510640GuangdongChina Department of Chemistry and State Key Laboratory of Synthetic Chemistry The University of Hong KongPokfulam RoadHong Kong 999077China

Combining photocatalytic organic reactions with CO_(2)reduction is an efficient solar energy utilization mode,but it is still limited by the organic species that can be matched and the low ***,ultrathin organic polymer with p-πconjugated structure(TPP)was rationally designed and prepared,and showed a high yield of CO(15.2 mmol g^(-1))and conversion of SAS coupled products(100%),far exceeding the organic polymer with P=O *** enhanced photoredox activity of TPP is ascribed to the orbital interaction between the p-orbital on phosphorus and theπ-orbitals of aromatic,which can accelerate the photoinduced charge carrier separation and improve the CO_(2)adsorption *** can also be used for the dehydrocoupling of various benzyl mercaptans to the corresponding SAS bond *** work provides a new concept for the efficient synthesis of disulfide bonds combined with CO_(2)reduction in a photoreaction system.

关键词： Photocatalytic coupled reaction Disulfide bond CO_(2)reduction High activity Organic polymer

Efficient Cloud Resource Scheduling with an Optimized Throttled Load Balancing Approach

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Computers, Materials & Continua 2023年第11期77卷 2179-2188页

作者： V.Dhilip Kumar J.Praveenchandar Muhammad Arif Adrian Brezulianu Oana Geman atif Ikram Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of Computer Science and Engineering Karunya Institute of Technology and SciencesCoimbatoreTamil Nadu641114India Department of Computer Science Superior UniversityLahorePakistan Faculty of Electronics Telecommunications and Information Technology Gheorghe Asachi Technical University of IasiIa¸si700050Romania Department of Health and Human Development Stefan cel Mare University of SuceavaSuceava720229Romania Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala NerusMalaysia

Cloud Technology is a new platform that offers on-demand computing Peripheral such as storage,processing power,and other computer system *** is also referred to as a system that will let the consumers utilize computational resources like databases,servers,storage,and intelligence over the *** a cloud network,load balancing is the process of dividing network traffic among a cluster of available servers to increase *** is also known as a server pool or server *** a single node is overwhelmed,balancing the workload is needed to manage unpredictable *** load balancer sends the load to another free node in this *** focus on the Balancing of workflows with the proposed approach,and we present a novel method to balance the load that manages the dynamic scheduling *** of the preexisting load balancing techniques is considered,however it is somewhat modified to fit the scenario at *** on the experimentation’s findings,it is concluded that this suggested approach improves load balancing consistency,response time,and throughput by 6%.

关键词： Load balancing throttled algorithm efficient resource allocation