检索结果-南通市图书馆

Optimal Resource Allocation in Fog Computing for Healthcare Applications

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6期71卷 6147-6163页

作者： salman Khan Ibrar Ali Shah Nasser Tairan Habib Shah Muhammad Faisal Nadeem Department of Computer Software Engineering University of Engineering and TechnologyMardan23200Pakistan Department of Computer Science College of Computer ScienceKing Khalid UniversityAbhaK.S.A Informatics Complex H-8Islamabad44000Pakistan

In recent years,the significant growth in the Internet of Things(IoT)technology has brought a lot of attention to information and communication *** IoT paradigms like the Internet of Vehicle Things(IoVT)and the Internet of Health Things(IoHT)create massive volumes of data every day which consume a lot of bandwidth and ***,to process such large volumes of data,the existing cloud computing platforms offer limited resources due to their distance from IoT ***,cloudcomputing systems produce intolerable latency problems for latency-sensitive real-time ***,a newparadigm called fog computingmakes use of computing nodes in the form of mobile devices,which utilize and process the real-time IoT devices data in orders of *** paper proposes workload-aware efficient resource allocation and load balancing in the fog-computing environment for the *** proposed algorithmic framework consists of the following components:task sequencing,dynamic resource allocation,and load *** consider electrocardiography(ECG)sensors for patient’s critical tasks to achieve maximum load balancing among fog nodes and to measure the performance of end-to-end delay,energy,network consumption and average *** proposed algorithm has been evaluated using the iFogSim tool,and results with the existing approach have been *** experimental results exhibit that the proposed technique achieves a 45%decrease in delay,37%reduction in energy consumption,and 25%decrease in network bandwidth consumption compared to the existing studies.

关键词： Fog computing internet of health things resource management

Footprints of SARS-CoV-2 genome diversity in Pakistan,2020–2021

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Virologica Sinica 2022年第1期37卷 153-155页

作者： Zaira Rehman Massab Umair Aamer Ikram Ammad Fahim Muhammad salman National Institute of Health(NIH) Islamabad44000Pakistan Maroof International Hospital

The rapid spread of SARS-Co V-2 has significantly impacted the worldwide health *** SARS-Co V-2 currently bears a remarkably low genetic diversity even though it carries one of the largest RNA genomes among viruses(Rausch et al.,2020).However,the coronaviruses harbor the capability of undergoing recombination at a high rate which can lead to the emergence of novel viral derivatives(Rausch et al.,2020;Gribble et al.,2021).

关键词： al. harbor system.

Energy Efficient Green Routing for UAVs Ad-Hoc Network

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

Intelligent Automation & Soft Computing 2023年第7期37卷 1111-1127页

作者： M.Muthukumar Rajasekar Rangasamy Irshad Hussain salman a.alqah.ani Department of Computer Science and Engineering Sree Sowdambika College of EngineeringTamil NaduIndia Department of Computer Science and Engineering-AI&ML School of EngineeringMalla Reddy UniversityHyderabadIndia Faculty of Electrical and Computer Engineering University of Engineering and Technology Peshawar25000PeshawarPakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Kingdom of Saudi Arabia

The purpose of this article is to propose Stability-based Energy-Efficient Link-State Hybrid Routing(S-ELHR),a low latency routing proto-col that aims to provide a stable mechanism for routing in unmanned aerial vehicles(UAV).The S-ELHR protocol selects a number of network nodes to create a Connected Dominating Set(CDS)using a parameter known as the Stability Metric(SM).The SM considers the node’s energy usage,connectivity time,and node’s *** the highest SM nodes are chosen to form *** node declares a Willingness to indicate that it is prepared to serve as a relay for its neighbors,by employing its own energy state.S-ELHR is a hybrid protocol that stores only partial topological information and routing tables on CDS *** of relying on the routing information at each intermediary node,it uses source routing,in which a route is generated on-demand,and data packets contain the addresses of the nodes the packet will transit.A route recovery technique is additionally utilized,which first locates a new route to the destination before forwarding packets along *** simulation for various network sizes and mobility speeds,the efficiency of S-ELHR is *** findings demonstrate that S-ELHR performs better than Optimized Link State Routing(OLSR)and Energy Enhanced OLSR(EE-OLSR)in terms of packet delivery ratio,end-to-end delay,and energy consumption.

关键词： Connected dominatingset hybridrouting UAVAdhocnetworks link state stability

Diabetic Retinopathy Detection Using Classical-Quantum Transfer Learning Approach and Probability Model

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5期71卷 3733-3746页

作者： Amna Mir Umer Yasin salman Naeem Khan Atifa Athar Riffat Jabeen Sehrish Aslam Department of Physics Comsats University IslamabadLahore CampusLahore54000Pakistan Department of Statistics Comsats University IslamabadLahore CampusLahore54000Pakistan Department of Computer Science Comsats University IslamabadLahore CampusLahore54000Pakistan

Diabetic Retinopathy(DR)is a common complication of diabetes mellitus that causes lesions on the retina that affect *** detection of DR can lead to irreversible *** manual diagnosis process of DR retina fundus images by ophthalmologists is time consuming and ***,Classical Transfer learning models are extensively used for computer aided detection of DR;however,their maintenance costs limits detection performance ***,Quantum Transfer learning is a better option to address this problem in an optimized *** significance of Hybrid quantum transfer learning approach includes that it performs ***,our proposed methodology aims to detect DR using a hybrid quantum transfer learning *** build our model we extract the APTOS 2019 Blindness Detection dataset from Kaggle and used inception-V3 pre-trained classical neural network for feature extraction and Variational Quantum classifier for stratification and trained our model on Penny Lane default device,IBM Qiskit BasicAer device and Google Cirq Simulator *** models are built based on PyTorch machine learning *** bring about a contrast performance rate between classical and quantum *** proposed model achieves an accuracy of 93%–96%on the quantum hybrid model and 85%accuracy rate on the classical ***,quantum computing can harness quantum machine learning to do work with power and efficiency that is not possible for classical computers.

关键词： Diabetic Retinopathy(DR) quantum transfer learning inceptionV3 variational quantum circuit image classification

Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2023年第9期136卷 2291-2319页

作者： Abdullah Ahmed Al-Dulaimi Muhammet Tahir Guneser Alaa Ali Hameed Mohammad Shukri salman Department of Electrical and Electronics Engineering Karabuk UniversityKarabuk78100Turkey Department of Computer Engineering Istinye UniversityIstanbul34303Turkey College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait

Recently,the demand for renewable energy has increased due to its environmental and economic *** panels are the mainstay for dealing with solar energy and converting it into another form of usable *** panels work under suitable climatic conditions that allow the light photons to access the solar cells,as any blocking of sunlight on these cells causes a halt in the panels work and restricts the carry of these ***,the panels are unable to work under these conditions.A layer of snow forms on the solar panels due to snowfall in areas with low ***,it causes an insulating layer on solar panels and the inability to produce electrical *** detection of snow-covered solar panels is crucial,as it allows us the opportunity to remove snow using some heating techniques more efficiently and restore the photovoltaics system to proper *** paper presents five deep learning models,■-16,■-19,ESNET-18,ESNET-50,and ESNET-101,which are used for the recognition and classification of solar panel *** this paper,two different cases were applied;the first case is performed on the original dataset without trying any kind of preprocessing,and the second case is extreme climate conditions and simulated by generating motion ***,the dataset was replicated using the upsampling technique in order to handle the unbalancing *** conducted dataset is divided into three different categories,namely;all_snow,no_snow,and partial *** fivemodels are trained,validated,and tested on this dataset under the same conditions 60%training,20%validation,and testing 20%for both *** accuracy of the models has been compared and verified to distinguish and classify the processed *** accuracy results in the first case showthat the comparedmodels■-16,■-19,ESNET-18,and ESNET-50 give 0.9592,while ESNET-101 gives *** the second case,the models outperformed their counterparts in the first case by evaluating performan

关键词： Deep learning CNN models image classification solar panels solar panel defect detection

Knowledge flow analysis of knowledge co-production-based climate change adaptation for lowland rice farmers in Bulukumba Regency,Indonesia

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Regional Sustainability 2023年第2期4卷 194-202页

作者： Arifah Darmawan salman Amir YASSI Eymal Bahsar DEMMALLINO Pangkep State Polytechnic of Agriculture Pangkep90652Indonesia Faculty of Agriculture Hasanuddin UniversityMakassar90245Indonesia

To increase the resilience of farmers’livelihood systems,detailed knowledge of adaptation strategies for dealing with the impacts of climate change is *** co-production approach is an adaptation strategy that is considered appropriate in the context of the increasing frequency of disasters caused by climate *** research of knowledge co-production on climate change adaptation in Indonesia is insufficient,particularly at local level,so we examined the flow of climate change adaptation knowledge in the knowledge co-production process through climate field school(CFS)activities in this *** interviewed 120 people living in Bulukumba Regency,South Sulawesi Province,Indonesia,involving 12 crowds including male and female farmers participated in CFS and not participated in CFS,local government officials,agriculture extension workers,agricultural traders,farmers’family members and neighbors,*** brief,the 12 groups of people mainly include two categories of people,i.e.,people involved in CFS activities and outside *** applied descriptive method and Social network analysis(SNA)to determine how knowledge flow in the community network and which groups of actors are important for knowledge *** findings of this study reveal that participants in CFS activities convey the knowledge they acquired formally(i.e.,from TV,radio,government,etc.)and informally(i.e.,from market,friends,relatives,etc.)to other actors,especially to their families and *** results also show that the acquisition and sharing of knowledge facilitate the flow of climate change adaptation knowledge based on knowledge *** addition,the findings highlight the key role of actors in the knowledge transfer process,and key actors involved in disseminating information about climate change *** be specific,among all the actors,family member and neighbor of CFS actor are the most common actors in disseminating climate knowledge information and closest t

关键词： Climate change adaptation Knowledge flow Knowledge co-production Climate field school(CFS) Social network analysis(SNA) Indonesia

ChainApparel: A Trustworthy Blockchain and IoT-Based Traceability Framework for Apparel Industry 4.0

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 2023年第11期77卷 1837-1854页

作者： Muhammad Shakeel Faridi Saqib Ali Guojun Wang salman Afsar Awan Muhammad Zafar Iqbal Department of Computer Science University of AgricultureFaisalabad38000Pakistan School of Computer Science Guangzhou UniversityGuangzhou510006China Department of Mathematics and Statistics University of AgricultureFaisalabad38000Pakistan

Trustworthiness and product traceability are essential factors in the apparel industry 4.0 for establishing successful business relationships among stakeholders such as customers,manufacturers,suppliers,and *** stakeholder has implemented different technology-based systems to record and track product ***,these systems work in silos,and there is no intra-system communication,leading to a lack of complete supply chain traceability for all apparel ***,apparel stakeholders are reluctant to share their business information with business competitors;thus,they involve third-party auditors to ensure the quality of the final ***,the apparel manufacturing industry faces challenges with counterfeit products,making it difficult for consumers to determine the authenticity of the ***,in this paper,a trustworthy apparel product traceability framework called ChainApparel is developed using the Internet of Things(IoT)and blockchain to address these challenges of authenticity and traceability of apparel ***,multiple smart contracts are designed and developed for registration,process execution,audit,fault,and product traceability to authorize,validate,and trace every business transaction among the apparel ***,the real-time performance analysis of ChainApparel is carried out regarding transaction throughput and latency by deploying the compute nodes at different geographical locations using Hyperledger *** results conclude that ChainApparel accomplished significant performance under diverse workloads while ensuring complete traceability along the complex supply chain of the apparel ***,the ChainApparel framework helps make the apparel product more trustworthy and transparent in the market while safeguarding trust among the industry stakeholders.

关键词： Blockchain smart contracts hyperledger fabric Internet of Things traceability apparel industry 4.0

A scoping review of SARS-CoV-2 and male infertility: Concerns and future prospects

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian pacific Journal of Reproduction 2022年第2期11卷 53-61页

作者： Falah Hasan Obayes AL-Khikani Aalae salman Ayit Medical Technique Department College of Medical TechniqueThe Islamic UniversityBabylonIraq

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has been detected in the blood,urine,facial/anal swabs,semen,and vaginal discharge;all have been shown to contain SARSCoV-2 *** findings have highlighted the prospect of SARS-CoV-2 invading the genital system in addition to other tissues,which might give rise to reproductive *** investigation sheds light on male reproductive tract vulnerability to invasion by SARS-CoV-2 and provides a foundation for further researches into male *** are infected with COVID-19 at a higher rate than *** a result,some data suggest that this viral infection might affect the male reproductive *** probable causes for male genital tract abnormalities in COVID19 are:(1)high expression of angiotensin-converting enzyme 2 in the testes;(2)SARS-CoV-2 infection indirectly induces immune response in the testes;(3)SARS-CoV-2 directly damages male genital cells by virus-receptor binding activity;(4)fever in SARSCoV-2 infected males may cause damages to testicular cells;(5)testosterone level decreased in SAR-CoV-2 infected males;(6)males are more susceptible to COVID-19 than females,which may be due to differences in the physiology of the genital *** review seeks to offer some insights into the potential causes of COVID-19 that affect the male reproductive system,as well as future prospect on this issue.

关键词： Infertility COVID-19 SARS-CoV-2 Male reproductive system Coronavirus Genital tract abnormalities Orchitis

Livelihood vulnerability of smallholder farmers to climate change: A comparative analysis based on irrigation access in South Sulawesi, Indonesia

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Regional Sustainability 2022年第3期3卷 244-253页

作者： ARIFAH Darmawan salman Amir YASSI Eymal Bahsar DEMMALLINO Doctoral Candidate of Agriculture Science Hasanuddin UniversityMakassar90245Indonesia Pangkep State Polytechnic of Agriculture Pangkep90652Indonesia Faculty of Agriculture Hasanuddin UniversityMakassar90245Indonesia

Bulukumba Regency is one of the major rice-producing areas in South Sulawesi,Indonesia and has experienced frequent climate disasters over the past *** downstream villages within the Bettu River irrigation area have been affected by the drought,culminating in reduced lowland rice production and increasing the vulnerability of farmers’*** study aims to evaluate the vulnerability of the livelihood system among rice farmers in the Bettu River irrigation area by classifying the area into two zones based on the distance from the main irrigation canal,namely the upstream area and downstream *** livelihood vulnerability index(LVI)framework and livelihood vulnerability index-Intergovernmental Panel on Climate Change(LVI-IPCC)approach were applied by selecting geographic and socio-demographic indicators that affected the farmer households,including 8 major components and 26 *** data for LVI-IPCC estimation were collected by randomly selecting 132 households from villages in the two *** empirical results showed that farmers in the downstream area were more vulnerable to climate change than farmers in the upstream *** major components causing the livelihood vulnerability of the downstream farmers were livelihood strategy,food,water,land,and health,as well as natural disasters and climate *** particular,the sub-components of agricultural livelihood diversification,consistent water supply for farming,and drought events were important in the downstream *** in the upstream area were vulnerable to socio-demographic profile and social network *** LVI-IPCC findings suggested that the government should prioritize farmers in the downstream area to develop resilience strategies,particularly by increasing irrigation infrastructure and the number of reservoirs and drilling ***,to increase their adaptive capacity in terms of diversification of agricultural livelihood systems,the government a

关键词： Livelihood vulnerability index(LVI) Livelihood vulnerability index-Intergovernmental Panel on Climate Change(LVI-IPCC) Climate change Irrigation area Lowland rice Farmer Indonesia