检索结果-南通市图书馆

The Development Trends and Research Fronts in Orbital Angular Momentum Technology:A Bibliometric Analysis

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

China Communications 2023年第2期20卷 289-310页

作者： Saleemullah Memon Xiuping Li Kamran Ali Memon Yuhan Huang junaid ahmed Uqaili Muhammad Ishfaq School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Telecommunication Engineering Quaid-e-Awam University of EngineeringScience&TechnologyPakistan

Orbital angular momentum(OAM)technology,refers to Laguerre-Gaussian(LG)beams,twisted beams,vector/vortex beams,acoustic vortex beams and fractional vortex *** is an emerging and promising technology to improve the communication capacity,spectral efficiency,and anti-jamming capability due to its helical phase fronts and infinite orthogonal *** the OAM research began in the 1990s,the developing trends,current status,issues and characteristics through a systematic observation have not yet been *** paper presents a knowledge-based evolution of OAM research published in the Web of Science(WoS)from 2011 to 2021 using bibliometric analysis in *** results demonstrate that the bandwidth,efficiency,gain,divergence,phase quantization,bulky and complex feeding structures,misalignment,distortion,interferences atmospheric turbulence and diffraction were the key issues found in the OAM *** main research hotspots and categories,influential authors,leading journals,best institutions of OAM show a strong bias in favor of their functions and technology *** research on OAM was mainly performed by the counties that have developed the 5G and now moving towards 6G communications like China,USA and South *** study would serve as an inclusive guide on the future research trends and status especially for the OAM researchers.

关键词： orbital angular momentum(OAM) vortex beams bibliometric analysis CiteSpace

Current Trends and Perspectives of Detection and Location for Buried Non-Metallic Pipelines

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2021年第5期34卷 118-146页

作者： Liang Ge Changpeng Zhang Guiyun Tian Xiaoting Xiao junaid ahmed Guohui Wei Ze Hu Ju Xiang Mark Robinson School of Mechanical and Electrical Engineering Southwest Petroleum UniversityChengdu 610500China School of Engineering Newcastle UniversityNewcastle NE17RUUK School of Electrical Information Southwest Petroleum UniversityChengdu 610500China Electrical Department Sukkur IBA UniversitySukkur 65200Pakistan School of Science Southwest Petroleum UniversityChengdu 610500China

Buried pipelines are an essential component of the urban infrastructure of modern *** buried pipes are mainly made of metal *** the development of material science and technology in recent years,non-metallic pipes,such as plastic pipes,ceramic pipes,and concrete pipes,are increasingly taking the place of pipes made from metal in various pipeline networks such as water supply,drainage,heat,industry,oil,and *** location technologies for the location of the buried metal pipeline have become mature,but detection and location technologies for the non-metallic pipelines are still *** this paper,current trends and future perspectives of detection and location of buried non-metallic pipelines are ***,this paper reviews and analyzes electromagnetic induction technologies,electromagnetic wave technologies,and other physics-based *** then focuses on acoustic detection and location technologies,and finally introduces emerging *** the technical characteristics of each detection and location method have been compared,with their strengths and weaknesses *** current trends and future perspectives of each buried non-metallic pipeline detection and location technology have also been ***,some suggestions for the future development of buried non-metallic pipeline detection and location technologies are provided.

关键词： Non-metallic pipeline Pipeline detection and location Non-destructive test and evaluation Acoustic technologies

A Hybrid Model for Improving Software Cost Estimation in Global Software Development

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第1期78卷 1399-1422页

作者： Mehmood ahmed Noraini B.Ibrahim Wasif Nisar Adeel ahmed Muhammad junaid Emmanuel Soriano Flores Divya Anand Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit RajaBatu Pahat86400Malaysia Department of Computer Science COMSATS University Wah Cantt CampusIslamabad47010Pakistan Department of Information Technology The University of HaripurKhyber Pakhtunkhwa22620Pakistan Engineering Research Innovation Group Universidad Europea del AtlanticoSantander39011Spain

Accurate software cost estimation in Global Software Development(GSD)remains challenging due to reliance on historical data and expert *** models,such as the Constructive Cost Model(COCOMO II),rely heavily on historical and accurate *** addition,expert judgment is required to set many input parameters,which can introduce subjectivity and variability in the estimation ***,there is a need to improve the current GSD models to mitigate reliance on historical data,subjectivity in expert judgment,inadequate consideration of GSD-based cost drivers and limited integration of modern technologies with cost *** study introduces a novel hybrid model that synergizes the COCOMO II with Artificial Neural Networks(ANN)to address these *** proposed hybrid model integrates additional GSD-based cost drivers identified through a systematic literature review and further vetted by industry *** article compares the effectiveness of the proposedmodelwith state-of-the-artmachine learning-basedmodels for software cost *** the NASA 93 dataset by adopting twenty-six GSD-based cost drivers reveals that our hybrid model achieves superior accuracy,outperforming existing *** findings indicate the potential of combining COCOMO II,ANN,and additional GSD-based cost drivers to transform cost estimation in GSD.

关键词： Artificial neural networks COCOMO II cost drivers global software development linear regression software cost estimation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

自我品牌链接和体验对忠诚度影响的实证研究

自我品牌链接和体验对忠诚度影响的实证研究

作者： junaid ahmed solangi 华北电力大学(北京)

学位级别：硕士

本研究的目的是衡量和检查品牌忠诚度,探索所有四个品牌维度中的自我品牌联系和品牌体验。即感官品牌体验、情感品牌体验、行为品牌体验、智力品牌体验。作为学习背景根据当前的经济和市场形势,广告竞争日趋激烈,客户正从一个品牌转向... 详细信息

本研究的目的是衡量和检查品牌忠诚度,探索所有四个品牌维度中的自我品牌联系和品牌体验。即感官品牌体验、情感品牌体验、行为品牌体验、智力品牌体验。作为学习背景根据当前的经济和市场形势,广告竞争日趋激烈,客户正从一个品牌转向另一个品牌,市场和竞争对手亟需寻找新的方法来捕获客户并使其忠诚。而之前的研究主要针对纺织行业,目标公司是耐克、阿迪达斯和Jugar。目前对巴基斯坦移动公司和巴基斯坦顶级智能手机品牌的研究调查了巴基斯坦人购买智能手机的原因以及忠诚度是如何产生的。竞争对手数量与日俱增的同时,市场上苹果、OPPO、华为、三星等不同竞争对手提供的服务和产品几乎没有核心差异这一现象导致了客户忠诚度的下降降低了经营成本。故本文从感知品牌体验、情感品牌体验行为品牌体验、知识品牌体验四个品牌维度出发,研究自我品牌的联系与品牌体验之间的品牌忠诚度。设计结构化调查问卷对巴基斯坦sha abdul latif university kahirpur(SALU)大学的150位智能手机用户进行调查。调查的用户包括多种职业如学生、企业家、家庭主妇等。调查结果显示不同用户对品牌维度对产品品牌评价的影响有不同的看法和感知。本研究采用了定量研究和数据收集的调查问卷方法。在进行品牌研究之后,采用了一项全面的在线横断面调查,以获取受访者。本研究采用SPSS对问卷数据进行检验,以方便用户使用。使用表格、频率和百分比等对结果进行描述性分析,以此评估数据库中变量的分布和关联,从而呈现研究结果。最后采用信效度检验对相关分析回归进行检验。结果表明,自变量对因变量有积极的影响。研究结果均为积极的结果,并支持了过去的大部分研究。该研究还考察了在巴基斯坦智能手机品牌苹果、OPPO、VIVO、华为和三星的品牌忠诚度。结果表明大多数人更喜欢苹果手机,因为它的性能卓越,风格豪华,品牌自我关系良好。

关键词：品牌忠诚度自主品牌关系品牌体验品牌信任

Integrating Requirements with SLI Layer for Cloud Computing Services to Meet SLA and QoS

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

Journal of Software Engineering and Applications 2013年第3期6卷 140-146页

作者： Muhammad Irfan Zhu Hong Muhammad Irfan Sharif ahmed junaid Haq Qureshi Rakhshanda Kanwal Muhammad Imran Collage of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Cloud computing is high technology, which fulfills needs of common as well as enterprise level to meet their information and communication technology requirements and so on. Cloud computing extends existing information technology capabilities and requirements. Many technologies are being merged with cloud computing, same as that orchestrations can boost cloud service provisioning process. The usage of orchestrations can play vital role to provision cloud services. Cloud service providers can create scalable cloud services at low cost by organizing cloud infrastructure by using cloud orchestrations. Dynamic orchestration flows can generate required cloud computing services to meet service level agreements and quality of services. There is a need to understand issues and barriers involved to integrate cloud orchestrations with cloud service provisioning process. There is also need to understand business related problems bordering cloud computing technology. There is much capacity to do targeted research work for cloud orchestrations and its integration with service level agreements as well as with SLI (service level integration) layer. In this article we have elaborated detailed analysis and identified a number of issues that will affect the cloud service users as well as cloud service providers and cloud service provisioning system. We are defining an approach to orchestrate cloud infrastructure by using orchestration flows, to generate cloud services in order to meet service level agreements and quality of standard.

关键词： Cloud Computing Cloud Requirements Cloud Service Provisioning Service Level Agreements Quality of Service.

COVID-19: cross-immunity of viral epitopes may influence severity of infection and immune response

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Signal Transduction and Targeted Therapy 2021年第4期6卷 1071-1072页

作者： junaid Kashir Khaled AlKattan ahmed Yaqinuddin College of Medicine Alfaisal UniversityRiyadhKingdom of Saudi Arabia Department of Comparative Medicine King Faisal Specialist Hospital and Research CenterRiyadhKingdom of Saudi Arabia

A recent study published in Science by Shrock et al.1 examined how responses to COVID-19 severity differed amongst patients with different prior viral exposure history,finding notable correlations between *** serological profiling provides a window into differential viral responses amongst patients with diverse outcomes,potentially mediating improved therapeutics and vaccines for SARS-CoV-2.

关键词： severity immunity al.

Enhancing Cloud Performance Using File Format Classifications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第2期70卷 3985-4007页

作者： Muhammad junaid Adnan Sohail Monagi H.Alkinani Adeel ahmed Mehmood ahmed Faisal Rehman Department of Computing Iqra UniversityIslamabadPakistan Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of Information Technology The University of Haripur Department of Computing COMSATS UniversityAbbottabad CampusPakistan

Metaheuristic approaches in cloud computing have shown significant results due to theirmulti-objective *** approaches are now considering hybridmetaheuristics combining the relative optimized benefits of two or more algorithms resulting in the least tradeoffs among several *** critical factors such as execution time,throughput time,response time,energy consumption,SLA violations,communication overhead,makespan,and migration time need careful attention while designing such dynamic *** improve such factors,an optimizedmulti-objective hybrid algorithm is being proposed that combines the relative advantages of Cat Swarm Optimization(CSO)with machine learning classifiers such as Support Vector Machine(SVM).The adopted approach is based on SVMone to many classification models of machine learning that performs the classifications of various data format types in the cloud with best *** CSO,grouping phase is used to divide the data files as audio,video,image,and text which is further extended by polynomial Kernel function based on various input features and used for optimized load ***,proposed approach works well and achieved performance efficiency in evaluated QoS metrics such as average energy consumption by 12%,migration time by 9%,and optimization time by 10%,in the presence of competitor baselines.

关键词： Classification load balancing optimization cloud computing

Detecting and Mitigating DDOS Attacks in SDNs Using Deep Neural Network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第11期77卷 2157-2178页

作者： Gul Nawaz Muhammad junaid Adnan Akhunzada Abdullah Gani Shamyla Nawazish Asim Yaqub Adeel ahmed Huma Ajab Department of Information Technology The University of HaripurHaripur22060Pakistan Faculty of Computing and Informatics University Malaysia SabahSabah88400Malaysia Department of Environmental Sciences COMSATS University Abbottabad CampusAbbottabad22010Pakistan Department of Chemistry COMSATS University Abbottabad CampusAbbottabad22010Pakistan

Distributed denial of service(DDoS)attack is the most common attack that obstructs a network and makes it unavailable for a legitimate *** proposed a deep neural network(DNN)model for the detection of DDoS attacks in the Software-Defined Networking(SDN)*** centralizes the control plane and separates it from the data *** simplifies a network and eliminates vendor specification of a *** of this open nature and centralized control,SDN can easily become a victim of DDoS *** proposed a supervised Developed Deep Neural Network(DDNN)model that can classify the DDoS attack traffic and legitimate *** Developed Deep Neural Network(DDNN)model takes a large number of feature values as compared to previously proposed Machine Learning(ML)*** proposed DNN model scans the data to find the correlated features and delivers high-quality *** model enhances the security of SDN and has better accuracy as compared to previously proposed *** choose the latest state-of-the-art dataset which consists of many novel attacks and overcomes all the shortcomings and limitations of the existing *** model results in a high accuracy rate of 99.76%with a low false-positive rate and 0.065%low loss *** accuracy increases to 99.80%as we increase the number of epochs to 100 *** proposed model classifies anomalous and normal traffic more accurately as compared to the previously proposed *** can handle a huge amount of structured and unstructured data and can easily solve complex problems.

关键词： Distributed denial of service(DDoS)attacks software-defined networking(SDN) classification deep neural network(DNN)

Brain Tumor Segmentation using Multi-View Attention based Ensemble Network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第9期72卷 5793-5806页

作者： Noreen Mushtaq Arfat Ahmad Khan Faizan ahmed Khan Muhammad junaid Ali Malik Muhammad Ali Shahid Chitapong Wechtaisong Peerapong Uthansakul COMSATS University Islamabad Islamabad Campus45550Pakistan Suranaree University of Technology Nakhon Ratchasima30000Thailand COMSATS University Islamabad Lahore Campus54000Pakistan Virtual University of Pakistan Islamabad Campus45550Pakistan COMSATS University Islamabad Vehari Campus61100Pakistan

Astrocytoma IV or glioblastoma is one of the fatal and dangerous types of brain *** detection of brain tumor increases the survival rate and helps in reducing the fatality *** imaging modalities have been used for diagnosing by expert radiologists,and Medical Resonance Image(MRI)is considered a better option for detecting brain tumors as MRI is a non-invasive technique and provides better visualization of the brain *** of the challenging issues is to identify the tumorous region from the MRI scans *** segmentation is performed by medical experts,which is a time-consuming task and got chances of *** overcome this issue,automatic segmentation is performed for quick and accurate *** proposed approach is to capture inter-slice information and reduce the *** learning-based brain tumor segmentation techniques proved best among available segmentation ***,deep learning may miss some preliminary info while using MRI images during *** MRI volumes are volumetric,3D U-Net-based models are used but *** of multiple 2D U-Net predictions in axial,sagittal,and coronal views help to capture inter-slice *** approach may reduce the system ***,the Conditional Random Fields(CRF)reduce the predictions’false positives and improve the segmentation *** model is applied to Brain Tumor Segmentation(BraTS)2019 dataset,and cross-validation is performed to check the accuracy of *** proposed approach achieves Dice Similarity Score(DSC)of 0.77 on Enhancing Tumor(ET),0.90 on Whole Tumor(WT),and 0.84 on Tumor Core(TC)with reduced Hausdorff Distance(HD)of 3.05 on ET,5.12 on WT and 3.89 on TC.

关键词： Brain tumor deep learning detection conditional random field segmentation