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International Journal of Web and Grid Services最新文献

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A privacy preserving CP-ABE-based access control on data sharing in VANETs 基于cp - abe的VANETs数据共享的隐私保护访问控制
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10055549
Nan Guo, Jing Hu, Xinyang Deng
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引用次数: 0
A masking-based federated singular value decomposition method for anomaly detection in industrial internet of things 基于掩模的联邦奇异值分解方法在工业物联网异常检测中的应用
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10059066
Natalia Kryvinska, Mykola Beshley, Olena Hordiichuk Bublivska, Halyna Beshley
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引用次数: 0
A new joint geo-opportunistic routing scheme in duty cycled internet of underwater things 一种新的占空比水下物联网联合地理机会路由方案
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10054498
T. Alghamdi, N. Javaid
: The inefficient consumption of energy is a critical challenge in internet of underwater things (IoUTs) because of difficult replenishment of energy. It is possible to overcome this difficulty by introducing sleep-awake scheduling for energy conservation. In this paper, two schemes have been proposed focusing on energy efficiency: geo-opportunistic asynchronous sleep-awake scheduling routing technique (GOASST) and coordinated sink mobility-based GOASST (CSM-GOASST). By exploiting geographic and opportunistic routing paradigms, the advantages like path diversity and improved reliable communication have been achieved. Moreover, the coordinated sink mobility in multi-sink architecture introduced in CSM-GOASST exhibits potential in reducing end-to-end network delay. In CSM-GOASST, an optimal sink position helps to find the shortest path to deliver data to the destination. In addition, linear programming-based mathematical modelling is carried out for performance parameters to find feasible solutions. The performance of the proposed schemes is evaluated by performing extensive simulations.
由于能源的难以补充,能源的低效消耗是水下物联网(IoUTs)面临的一个关键挑战。通过引入睡眠-觉醒计划来节约能源是有可能克服这个困难的。本文提出了两种专注于能源效率的方案:地理机会异步睡眠-觉醒调度路由技术(go助理)和基于协调汇移动的go助理(cms - go助理)。通过利用地理和机会路由范式,实现了路径多样性和改进的可靠通信等优势。此外,csm - goassistant中引入的多sink架构中的协调sink迁移在减少端到端网络延迟方面显示出潜力。在cms - goassistant中,最优汇聚位置有助于找到将数据传输到目的地的最短路径。此外,对性能参数进行了基于线性规划的数学建模,寻找可行解。通过大量的仿真对所提方案的性能进行了评价。
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引用次数: 0
Providing Data Security using DNA Computing in the Cloud Computing Environment 在云计算环境下使用DNA计算提供数据安全
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10060351
Suyel Namasudra, Tarun Kumar, Prabhat Kumar
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引用次数: 0
A hybrid intelligent system for wireless mesh networks: assessment of implemented system for two instances and three router replacement methods using Vmax parameter 一种用于无线网状网络的混合智能系统:基于Vmax参数的两种实例和三种路由器替换方法的实现系统评估
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10058554
Shinji Sakamoto
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引用次数: 0
An efficient clustering mechanism towards large scale service composition in IoT 面向物联网大规模服务组合的高效集群机制
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10055551
S. Mishra, A. Sarkar
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引用次数: 1
A systematic literature review on pharmaceutical supply chain: research gaps and future opportunities 医药供应链系统文献综述:研究缺口与未来机遇
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10056512
Abeer Mirdad, F. Hussain, O. Hussain
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引用次数: 0
PolarisX2: auto-growing context-aware knowledge graph PolarisX2:自动增长的上下文感知知识图谱
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10056506
SoYeop Yoo, Okran Jeong, Y. Ahn
{"title":"PolarisX2: auto-growing context-aware knowledge graph","authors":"SoYeop Yoo, Okran Jeong, Y. Ahn","doi":"10.1504/ijwgs.2023.10056506","DOIUrl":"https://doi.org/10.1504/ijwgs.2023.10056506","url":null,"abstract":"","PeriodicalId":54935,"journal":{"name":"International Journal of Web and Grid Services","volume":"122 7 1","pages":"137-155"},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74849172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Web semantics and ontologies-based framework for software component selection from online repositories 基于Web语义和本体的框架,用于从在线存储库中选择软件组件
4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.133503
Nazia Bibi, Tauseef Ahmed Rana, Ayesha Maqbool, Alina Mirza, Zeshan Iqbal, Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, Robertas Damaševičius
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引用次数: 0
Sentiment analysis and counselling for COVID-19 pandemic based on social media 基于社交媒体的COVID-19大流行情绪分析与咨询
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2023-01-01 DOI: 10.1504/ijwgs.2023.10054493
Ha Young Lee, O. Jeong
As COVID-19 emerged and prolonged, various changes have occurred in our lives. For example, as restrictions on daily life are lengthening, the number of people complaining of depression is increasing. In this paper, we conduct a sentiment analysis by modelling public emotions and issues through social media. Text data written on Twitter is collected by dividing it into the early and late stages of COVID-19, and emotional analysis is performed to reclassify it into positive and negative tweets. Therefore, subject modelling is performed with a total of four datasets to review the results and evaluate the modelling results. Furthermore, topic modelling results are visualised using dimensional reduction, and public opinions on COVID-19 are intuitively confirmed by generating representative words consisting of each topic in the word cloud. Additionally, we implement a COVID-chatbot that provides a question-and-answer service on COVID-19 and verifies the performance in our experiments.
随着新冠肺炎疫情的出现和持续,我们的生活发生了各种变化。例如,随着日常生活限制的延长,抱怨抑郁症的人数正在增加。在本文中,我们通过社交媒体对公众情绪和问题进行建模,进行情绪分析。将推特上的文字数据分为新冠肺炎早期和晚期,并进行情绪分析,将其重新分类为积极和消极的推文。因此,总共使用四个数据集进行受试者建模,以审查结果并评估建模结果。此外,利用降维方法对主题建模结果进行可视化,并通过在词云中生成由每个主题组成的代表性词来直观地确认关于COVID-19的民意。此外,我们还实现了一个COVID-19聊天机器人,提供COVID-19问答服务,并在实验中验证了性能。
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引用次数: 0
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International Journal of Web and Grid Services
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