World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering最新文献_第6页

SPOTur—Tourists Protection and Orientation System in Inhospitable Environments 恶劣环境下的游客保护与引导系统

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/IJCCE.2018.7.4.136-144

J. P. Lousado, A. Cruz, Sandra Antunes

引用次数: 0

Empirical Noise Modelling in Power Line Communication Systems 电力线通信系统的经验噪声建模

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/IJCCE.2018.7.4.119-127

Guoping Chen, C. Telecommunications, Gonghai Yang

引用次数: 1

Comparative Study on Different Classification Techniques for Spam Dataset 垃圾邮件数据集不同分类技术的比较研究

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/IJCCE.2018.7.4.189-194

S. Elhamayed, Cairo Egypt Eri

引用次数: 3

Taxonomy of Autonomic Cloud Computing 自主云计算分类法

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/IJCCE.2018.7.3.68-84

Hamed Hamzeh, Sofia Meacham, B. Virginas, Keith Phalp

{"title":"Taxonomy of Autonomic Cloud Computing","authors":"Hamed Hamzeh, Sofia Meacham, B. Virginas, Keith Phalp","doi":"10.17706/IJCCE.2018.7.3.68-84","DOIUrl":"https://doi.org/10.17706/IJCCE.2018.7.3.68-84","url":null,"abstract":"Cloud computing is a paradigm that has become popular in recent decade. The flexibility, scalability, elasticity, inexpensive and unlimited use of resources have made the cloud an efficient and valuable infrastructure for many organizations to perform their computational operations. Specifically, the elasticity feature of cloud computing leads to the increase of complexity of this technology . Considering the emergence of new technologies and user demands, the existing solutions are not suitable to satisfy the huge volume of data and user requirements. Moreover, certain quality requirements that have to be met for efficient resource provisioning such as Quality of Service (QoS) is an obstacle to scalability. Hence, autonomic computing has emerged as a highly dynamic solution for complex administration issues that goes beyond simple automation to self-learning and highly-adaptable systems. Therefore, the combination of cloud computing and autonomics known as Autonomic Cloud Computing (ACC) seems a natural progression for both areas. This paper is an overview of the latest conducted research in ACC and the corresponding software engineering techniques. Additionally, existing autonomic applications, methods and their use cases in cloud computing environment are also investigated.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":"27 1","pages":"68-84"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74787118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Particle Swarm Optimization Using Opposite Gradient Search for Travelling Salesman Problem 基于反梯度搜索的改进粒子群算法求解旅行商问题

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/IJCCE.2018.7.4.167-177

Thirachit Saenphon

引用次数: 2

Research on Evolution Mechanism and Sentiment Analysis of Emergency Network Public Opinion 突发事件网络舆情演变机制及情绪分析研究

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/IJCCE.2018.7.2.8-19

Xin Jin, B. Economics, Hu Yang

引用次数: 2

Virtual Force Based Sink Relocation Strategy in Wireless Sensor Networks 基于虚拟力的无线传感器网络Sink重定位策略

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/ijcce.2018.7.4.107-118

Chengdong Wang, Xin Yang, Yong Feng, M. Tang

{"title":"Virtual Force Based Sink Relocation Strategy in Wireless Sensor Networks","authors":"Chengdong Wang, Xin Yang, Yong Feng, M. Tang","doi":"10.17706/ijcce.2018.7.4.107-118","DOIUrl":"https://doi.org/10.17706/ijcce.2018.7.4.107-118","url":null,"abstract":"Sink relocation has been proven as an effective solution to relieve the network hot point problem, and to balance nodes’ energy consumption and thus prolong the network lifetime for wireless sensor networks. In this paper, we propose a Virtual Force based Sink Relocation strategy, called VFSR, which utilizes the resultant force derived from two kinds of virtual force, gravitational one and border repulsive one, to impel the sink node to relocate to the desired position. In VFSR, the gravitational force exists between each sensor and the sink, and is proportional to the node’s residual energy and inversely proportional to the distance from the node to the sink. The border repulsive force is adapted to avoid the sink node wandering nearby the network border. Under the action of the gravitational and the border repulsive force, the sink node approaches the nodes with high residual energy and makes them relay data from other nodes, which reduces data transmission overload of the nodes with low energy. Through simulation, we validate the effectiveness of VFSR.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":"47 1","pages":"107-118"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85474499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An ID-Based Group Key Agreement Scheme for Controlling Access and Privacy in Cloud 一种基于id的云中访问和隐私控制组密钥协议方案

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.17706/ijcce.2018.7.1.1-7

Jen-Ho Yang, I. Lin, Po-Ching Chien

引用次数: 0

Automatic Classification of Periodic Heart Sounds Using Convolutional Neural Network 基于卷积神经网络的周期性心音自动分类

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2018-01-01 DOI: 10.5281/ZENODO.1315910

Jia Xin Low, K. W. Choo

{"title":"Automatic Classification of Periodic Heart Sounds Using Convolutional Neural Network","authors":"Jia Xin Low, K. W. Choo","doi":"10.5281/ZENODO.1315910","DOIUrl":"https://doi.org/10.5281/ZENODO.1315910","url":null,"abstract":"This paper presents an automatic normal and abnormal heart sound classification model developed based on deep learning algorithm. MITHSDB heart sounds datasets obtained from the 2016 PhysioNet/Computing in Cardiology Challenge database were used in this research with the assumption that the electrocardiograms (ECG) were recorded simultaneously with the heart sounds (phonocardiogram, PCG). The PCG time series are segmented per heart beat, and each sub-segment is converted to form a square intensity matrix, and classified using convolutional neural network (CNN) models. This approach removes the need to provide classification features for the supervised machine learning algorithm. Instead, the features are determined automatically through training, from the time series provided. The result proves that the prediction model is able to provide reasonable and comparable classification accuracy despite simple implementation. This approach can be used for real-time classification of heart sounds in Internet of Medical Things (IoMT), e.g. remote monitoring applications of PCG signal.","PeriodicalId":23787,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering","volume":"53 1","pages":"96-101"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89341348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Bandwidth allocation with fairness in multimedia networks 多媒体网络中带宽分配的公平性

World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Pub Date : 2017-12-12 DOI: 10.17706/IJCCE.2017.6.3.151-160

Hamed Hamzeh, Mahdi Hemmati, S. Shirmohammadi

引用次数: 0