CINXE.COM

<html><head><title>EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - EUDL</title><link rel="icon" href="/images/favicon.ico"><link rel="stylesheet" type="text/css" href="/css/screen.css"><link rel="stylesheet" href="/css/zenburn.css"><meta http-equiv="Content-Type" content="charset=utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="Description" content="Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/inis/index"><script type="text/javascript" src="https://services.eai.eu//load-signup-form/EAI"></script><script type="text/javascript" src="https://services.eai.eu//ujs/forms/signup/sso-client.js"></script><script type="text/javascript">if (!window.EUDL){ window.EUDL={} };EUDL.cas_url="https://account.eai.eu/cas";EUDL.profile_url="https://account.eai.eu";if(window.SSO){SSO.set_mode('eai')};</script><script type="text/javascript" src="/js/jquery.js"></script><script type="text/javascript" src="/js/jquery.cookie.js"></script><script type="text/javascript" src="/js/sso.js"></script><script type="text/javascript" src="/js/jscal2.js"></script><script type="text/javascript" src="/js/lang/en.js"></script><script type="text/javascript" src="/js/jquery.colorbox-min.js"></script><script type="text/javascript" src="/js/eudl.js"></script><script type="text/javascript" src="/js/journal.js"></script><script type="text/javascript" src="/js/tabs.js"></script><link rel="stylesheet" type="text/css" href="/css/jscal/jscal2.css"><link rel="stylesheet" type="text/css" href="/css/jscal/eudl/eudl.css"><link rel="stylesheet" type="text/css" href="/css/colorbox.css"></head><body><div id="eudl-page-head"><div id="eudl-page-header"><section id="user-area"><div><nav id="right-nav"><a href="/about">About</a> | <a href="/contact">Contact Us</a> | <a class="register" href="https://account.eai.eu/register?service=http%3A%2F%2Feudl.eu%2Fissue%2Finis%2F2%2F4">Register</a> | <a class="login" href="https://account.eai.eu/cas/login?service=http%3A%2F%2Feudl.eu%2Fissue%2Finis%2F2%2F4">Login</a></nav></div></section></div></div><div id="eudl-page"><header><section id="topbar-ads"><div><a href="https://eudl.eu/"><img class="eudl-logo-top" src="https://eudl.eu/images/eudl-logo.png"></a><img class="eudl-ads-top" src="https://eudl.eu/images/eai-eudl.jpg"></div></section><section id="menu"><nav><a href="/proceedings" class=""><span>Proceedings</span><span class="icon"></span></a><a href="/series" class=""><span>Series</span><span class="icon"></span></a><a href="/journals" class="current"><span>Journals</span><span class="icon"></span></a><a href="/content" class=""><span>Search</span><span class="icon"></span></a><a href="http://eai.eu/">EAI</a></nav></section></header><div id="eaientran"></div><section id="content"><section id="journal"><form class="search-form" id="article_search" method="get"><section class="cover-and-filters"><section class="cover"><a href="/journal/inis" title="EAI Endorsed Transactions on Industrial Networks and Intelligent Systems"><img src="/attachment/21466"></a></section><section class="issn"><strong>ISSN: </strong>2410-0218</section><section class="escripts link"><a href="https://escripts.eai.eu/paper/submit">Submit Article</a></section><section class="instructions link"><a href="/instructions">Submission Instructions</a></section><section class="ethics link"><a href="/ethics">Ethics and Malpractice Statement</a></section><section class="back-to-journal link"><a href="/journal/inis">Back to Journal Page</a></section><section class="browse-filters"><div class="browse-by"><a class="browse-link">2024<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/12/1" class="filter ">Issue 1</a></div><a class="browse-link">2024<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/11/4" class="filter ">Issue 4</a><a href="/issue/inis/11/3" class="filter ">Issue 3</a><a href="/issue/inis/11/2" class="filter ">Issue 2</a><a href="/issue/inis/11/1" class="filter ">Issue 1</a></div><a class="browse-link">2023<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/10/4" class="filter ">Issue 4</a><a href="/issue/inis/10/3" class="filter ">Issue 3</a><a href="/issue/inis/10/1" class="filter ">Issue 1</a></div><a class="browse-link">2022<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/9/4" class="filter ">Issue 4</a><a href="/issue/inis/9/32" class="filter ">Issue 32</a><a href="/issue/inis/9/31" class="filter ">Issue 31</a><a href="/issue/inis/9/30" class="filter ">Issue 30</a></div><a class="browse-link">2021<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/8/29" class="filter ">Issue 29</a><a href="/issue/inis/8/28" class="filter ">Issue 28</a><a href="/issue/inis/8/27" class="filter ">Issue 27</a><a href="/issue/inis/8/26" class="filter ">Issue 26</a></div><a class="browse-link">2020<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/7/25" class="filter ">Issue 25</a><a href="/issue/inis/7/24" class="filter ">Issue 24</a><a href="/issue/inis/7/23" class="filter ">Issue 23</a><a href="/issue/inis/7/22" class="filter ">Issue 22</a></div><a class="browse-link">2019<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/6/21" class="filter ">Issue 21</a><a href="/issue/inis/6/20" class="filter ">Issue 20</a><a href="/issue/inis/6/19" class="filter ">Issue 19</a><a href="/issue/inis/6/18" class="filter ">Issue 18</a></div><a class="browse-link">2018<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/5/17" class="filter ">Issue 17</a><a href="/issue/inis/5/16" class="filter ">Issue 16</a><a href="/issue/inis/5/15" class="filter ">Issue 15</a><a href="/issue/inis/5/14" class="filter ">Issue 14</a></div><a class="browse-link">2017<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/4/13" class="filter ">Issue 13</a><a href="/issue/inis/4/12" class="filter ">Issue 12</a><a href="/issue/inis/4/11" class="filter ">Issue 11</a><a href="/issue/inis/4/10" class="filter ">Issue 10</a></div><a class="browse-link">2016<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/3/9" class="filter ">Issue 9</a><a href="/issue/inis/3/8" class="filter ">Issue 8</a><a href="/issue/inis/3/7" class="filter ">Issue 7</a><a href="/issue/inis/3/6" class="filter ">Issue 6</a></div><a class="browse-link">2015<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/2/5" class="filter ">Issue 5</a><a href="/issue/inis/2/4" class="filter current">Issue 4</a><a href="/issue/inis/2/3" class="filter ">Issue 3</a><a href="/issue/inis/2/2" class="filter ">Issue 2</a></div><a class="browse-link">2014<span class="pointer"></span></a><div class="filters"><a href="/issue/inis/1/1" class="filter ">Issue 1</a></div></div></section></section><section class="info-and-search"><div class="manage-menu"></div><a href="/journal/inis"><h1>EAI Endorsed Transactions on Industrial Networks and Intelligent Systems</h1></a><section class="issue-number">Issue 4, 2015</section><section class="editors"><strong>Editor(s)-in-Chief: </strong><span class="editor">Lei Shu</span></section><section class="editors"><strong>Guest Editor(s): </strong><span class="editor">Christian Erfurth</span> and <span class="editor">Hacene Fouchal</span></section><section class="issue-tabs"><div class="tabs"><ul><li><a name="articles">Articles</a></li><li><a name="meta">Information</a></li></ul></div><div class="content"><div name="articles"><section id="publications-results" class="search-results"><ul class="results-list"><li class="result-item article-light first"><h3><a href="/doi/10.4108/inis.2.4.e1">Welcome message from the Editors</a></h3><dl class="metadata"><dt class="title">Appears in: </dt><dd class="value">inis<span class="info-separator"> </span><strong>15</strong><span class="info-separator">(</span>4<span class="info-separator">)</span><span class="info-separator">: </span>e1</dd><br><dt class="title">Authors: </dt><dd class="value">Gerald Eichler, Christian Erfurth, Hacene Fouchal</dd><br><dt class="title">Abstract: </dt><dd class="value abstract"><span class="shortened"> </span><span class="full"> <br></span> <span class="expander more"><a class="trigger">more »</a></span></dd></dl></li><li class="result-item article-light"><h3><a href="/doi/10.4108/inis.2.4.e2">Linking Data According to Their Degree of Representativeness (DoR)</a></h3><dl class="metadata"><dt class="title">Appears in: </dt><dd class="value">inis<span class="info-separator"> </span><strong>15</strong><span class="info-separator">(</span>4<span class="info-separator">)</span><span class="info-separator">: </span>e2</dd><br><dt class="title">Authors: </dt><dd class="value">Frédéric Blanchard, Amine Aït-Younes, Michel Herbin</dd><br><dt class="title">Abstract: </dt><dd class="value abstract"><span class="shortened">This contribution addresses the problem of extracting some representative data from complex datasets and connecting them in a directed graph. First we define a degree of representativeness (DoR) inspired of the Borda voting procedure. Secondly we present a method to connect pairwise data using ne…</span><span class="full">This contribution addresses the problem of extracting some representative data from complex datasets and <br>connecting them in a directed graph. First we define a degree of representativeness (DoR) inspired of the <br>Borda voting procedure. Secondly we present a method to connect pairwise data using neighborhoods and the <br>DoR as an objective function. We then present case studies as illustrative purposes: unsupervised grouping of <br>binary images, analysis of co-authorships in a research team and structuration of a medical patient-oriented <br>database.<br></span> <span class="expander more"><a class="trigger">more »</a></span></dd></dl></li><li class="result-item article-light"><h3><a href="/doi/10.4108/inis.2.4.e3">A2Ba: Adaptive Background Modelling for Visual Aerial Surveillance Conditions</a></h3><dl class="metadata"><dt class="title">Appears in: </dt><dd class="value">inis<span class="info-separator"> </span><strong>15</strong><span class="info-separator">(</span>4<span class="info-separator">)</span><span class="info-separator">: </span>e3</dd><br><dt class="title">Authors: </dt><dd class="value">Francisco Sanchez-Fernandez, Philippe Brunet, Sidi-Mohammed Senouci</dd><br><dt class="title">Abstract: </dt><dd class="value abstract"><span class="shortened">Background modelling algorithms are widely used to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring. Set up a background model on mobile platforms (UAVs, intelligent cars,…</span><span class="full">Background modelling algorithms are widely used to define a part of an image that most time remains stationary in a video. <br>In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring. Set up a background <br>model on mobile platforms (UAVs, intelligent cars, etc.) is a challenging task due camera motion when images are acquired. <br>In this paper, we propose A2Ba, a robust method to support instabilities caused by aerial images fusing different information <br>about image motion. We used frame difference as first approximation, then age of pixels is estimated. This latter gives us an <br>invariability level of a pixel over time. Gradient direction of ages and an adaptive weight are used to reduce impact from <br>camera motion on background modelling. We tested A2Ba simulating several conditions that impair aerial image acquisition <br>such as intentional and unintentional camera motion. Experimental results show improved performance compared to baseline <br>algorithms GMM and KDE.<br></span> <span class="expander more"><a class="trigger">more »</a></span></dd></dl></li><li class="result-item article-light"><h3><a href="/doi/10.4108/inis.2.4.e4">Performance evaluation of composite Web services</a></h3><dl class="metadata"><dt class="title">Appears in: </dt><dd class="value">inis<span class="info-separator"> </span><strong>15</strong><span class="info-separator">(</span>4<span class="info-separator">)</span><span class="info-separator">: </span>e4</dd><br><dt class="title">Authors: </dt><dd class="value">Lynda Mokdad, Jalel Ben Othman, Abdelkrim Abdelli</dd><br><dt class="title">Abstract: </dt><dd class="value abstract"><span class="shortened">Composite Web service architectures are demanding much guarantee on the Quality of Service (QoS) in order to meet user requirements. Performance evaluation of these architectures has become therefore a very challenging issue, as the task is very complex due to synchronization inside the orchestra…</span><span class="full">Composite Web service architectures are demanding much guarantee on the Quality of Service (QoS) in <br>order to meet user requirements. Performance evaluation of these architectures has become therefore a very <br>challenging issue, as the task is very complex due to synchronization inside the orchestration of services. <br>We propose in this paper to use stochastic automata networks which a is powerful formalism as it provides <br>semantics to specify synchronization within a very smart formalism. Contrary to previous approaches, the <br>modeling and the performance evaluation of a variable number of remote service invocation become possible. <br>The reported simulation results advocate the use of our approach in the performance evaluation of composite <br>Web service architectures.<br></span> <span class="expander more"><a class="trigger">more »</a></span></dd></dl></li><li class="result-item article-light"><h3><a href="/doi/10.4108/inis.2.4.e5">Coupling of the synchronization stations of an Extended Kanban system</a></h3><dl class="metadata"><dt class="title">Appears in: </dt><dd class="value">inis<span class="info-separator"> </span><strong>15</strong><span class="info-separator">(</span>4<span class="info-separator">)</span><span class="info-separator">: </span>e5</dd><br><dt class="title">Author: </dt><dd class="value">Leandros A. Maglaras</dd><br><dt class="title">Abstract: </dt><dd class="value abstract"><span class="shortened">In this paper, an approximate method for estimating the performance of the synchronization stations of an Extended Kanban production system is developed. The correct treatment of an Extended Kanban system requires the decomposition of the system into a set of subsystems and the coupling of the sy…</span><span class="full">In this paper, an approximate method for estimating the performance of the synchronization stations of an Extended <br>Kanban production system is developed. The correct treatment of an Extended Kanban system requires the decomposition <br>of the system into a set of subsystems and the coupling of the synchronization stations of each of these. Unlike other <br>Kanban type systems, the analysis in isolation of each synchronization station gives inaccurate results due to the <br>simultaneous arrival of requests at all stations. The method of coupling of the synchronization stations of each production <br>stage which is proposed, gives a good approximation of the performance of the production system, and makes the process <br>quite accurate. This method provides a good basis for the comprehensive analysis and solution of a system of Extended <br>Kanban.<br></span> <span class="expander more"><a class="trigger">more »</a></span></dd></dl></li><li class="result-item article-light"><h3><a href="/doi/10.4108/inis.2.4.e6">Mobile Application Search: A QoS-Aware and Tag-Based Approach</a></h3><dl class="metadata"><dt class="title">Appears in: </dt><dd class="value">inis<span class="info-separator"> </span><strong>15</strong><span class="info-separator">(</span>4<span class="info-separator">)</span><span class="info-separator">: </span>e6</dd><br><dt class="title">Authors: </dt><dd class="value">Shang-Pin Ma, Shin-Jie Lee, Wen-Tin Lee, Jing-Hong Lin, Jui-Hsaing Lin</dd><br><dt class="title">Abstract: </dt><dd class="value abstract"><span class="shortened">The availability of enormous numbers of mobile applications (apps) is driving demand for the means to search for, recommend, and manage apps. Existing search engines provide basic search functionalities that enable users to find apps by issuing query keywords; however, the ranking of search resul…</span><span class="full">The availability of enormous numbers of mobile applications (apps) is driving demand for the means to search for, <br>recommend, and manage apps. Existing search engines provide basic search functionalities that enable users to find apps <br>by issuing query keywords; however, the ranking of search results does not always satisfy the expectations of users. This <br>study proposes a novel approach to address this issue, called Tag-based and QoS-aware Mobile Application Search and <br>Management (TQMASM). The proposed system provides two functionalities: (1) QoS-aware app search and tag-based <br>app recommendation; and (2) tag-based app management. QoS-aware app search is an objective means of sorting search <br>results by considering QoS (Quality of Service) factors, popularity, and reputation. Tag-based recommendation is used to <br>find apps according to tags annotated by all users. Tag-based management utilizes an hierarchical tree and tag annotation <br>to facilitate the management and usage of apps. A prototype realization of TQMASM was developed to evaluate the <br>feasibility of the proposed approach. Experiment results demonstrate the efficacy of the proposed system in providing a <br>satisfactory ranking of retrieved apps.<br></span> <span class="expander more"><a class="trigger">more »</a></span></dd></dl></li></ul></section></div><div name="meta"><h2>Scope</h2><div class="abstract"><div class="shortened"><p>Along with the fast development of computer technologies, e.g., ubiquitous computing, cloud computing and cyber-physical system, all kinds of networks (e.g., control network, communication network, sensor network, body area network, social network, opportunistic network, cloud-based network, etc.) …</p></div><div class="full"><p>Along with the fast development of computer technologies, e.g., ubiquitous computing, cloud computing and cyber-physical system, all kinds of networks (e.g., control network, communication network, sensor network, body area network, social network, opportunistic network, cloud-based network, etc.) appeared and were applied in large-scale factories, including a lot of traditional and new industries, e.g., textile industry, coal industry, mining industry, steel industry, machinery industry, petrochemical industry, and biomedical industry, etc. Assisted by various industrial networks, automation in industry can reduce cost greatly because it takes advantage of control systems and information technologies to optimize productivity in the production of goods and delivery of services. However, the industrial environment is dynamic and harsh usually, including extreme temperature, humidity, electromagnetic interference and vibration, which proposed specific requirements to intelligent industrial systems under certain circumstances. All these highlight the criticality of the design, analysis and implementation of intelligent industrial systems</p></div> <span class="expander more"><a class="trigger">more »</a></span></div><h2>Topics</h2><div class="abstract"><div class="shortened"><ul> <li>Applications of wireless sensor networks, body area networks in large-scale industrial applications, such as fault theories of wireless networks, including routing, network control and management, reliable transmission and architectures, etc.</li> <li>Applications of social networking, big data, ubiqui…</li> </ul></div><div class="full"><ul> <li>Applications of wireless sensor networks, body area networks in large-scale industrial applications, such as fault theories of wireless networks, including routing, network control and management, reliable transmission and architectures, etc.</li> <li>Applications of social networking, big data, ubiquitous computing, mobile computing, and cloud computing in various industries and services (e.g., intelligent systems enhanced by social networking, cloud-based industrial networks, cloud-assisted intelligent systems, etc.)</li> <li>Analysis of industrial control and communication networks, including network lifetime, security, network scalability, reliability, stability, etc.</li> <li>Design and choice of industrial, intelligent, application-specific network protocols and algorithms (e.g., EtherNet/IP, Ethernet Powerlink, EtherCAT, Modbus-TCP, Profinet, SERCOS III, etc.) at any communication layer</li> <li>Opportunistic networks in the industry, such as underwater sensor networks in sewage treatment systems, including establishing a temporary data transmission structure using available devices (e.g., underwater robot, surface data station, surface sink and under water sink), optimizing horizontal multi-hop data links (e.g., 3D data transmission), etc.</li> <li>Applications of intelligent systems in various industries, including collaborative systems, quality control, optimization, decision support, planning, high-level control concepts (e.g., multi-agent and holonic systems, service-oriented architectures), low-level control concepts (e.g., IEC 61131-3 and IEC 61499-based control), advanced system engineering concepts (e.g., model-driven development, component-based design), supply chains, value chains, virtual organizations, and virtual societies, emergency preparedness, crisis management, business channels, electronic marketplaces, enterprise resources planning, etc.</li> <li>Design and analysis of real-time embedded industrial systems, including real-time computing, real-time operating systems, real-time communications, networked embedded systems technology, etc.</li> <li>Novel control techniques, with respect to process control, equipment control, supervisory control, adaptive control, motion control, etc.</li> <li>Automated manufacturing systems, regarding formal modeling and analysis of manufacturing systems, scheduling of manufacturing systems, queuing systems and petri nets in manufacturing systems, etc.</li> <li>Computational intelligence in automation, including neural, fuzzy, evolutionary approaches in automation, ant colonies optimization and swarm intelligence in automation, machine learning, expert systems, etc.</li> <li>Hardware and software design and development for intelligent systems, such as intelligent and humanized production monitoring and control, etc.</li> <li>Big data analysis and processing in various industries and services, including constructing data analysis models, providing data analysis and processing tools and designing various optimization algorithms based on data analysis.</li> <li>Crowd-sourced behavior analysis in various industry and services, such as measuring and calculating the diffusion direction and speed of gas in the petrochemical industry based on crowd-sourced data from a large number of and various types of sensors, as well as product and service evaluation.</li> <li>Simulation and testbed of current industrial networks and intelligent systems, including network performance analysis, automated manufacturing, intelligent monitoring, disaster prevention, etc.</li> <li>Vision of future smart factories, service, marketing, and their integration, incorporating current existing technologies.</li> <li>Multimedia applications, content management, process management and knowledge management for various industries, services, and engineering education: including multimedia processing, multimedia retrieval, multimedia indexing, image sensing, image processing, image coding, image recognition, etc.</li> <li>Pattern recognition methods for various industries and services: including statistical theory, clustering, similarity measures, unsupervised learning, supervised learning, etc.</li> <li>Survey, review and essay of current industrial networks researches and intelligent systems development.</li> </ul></div> <span class="expander more"><a class="trigger">more »</a></span></div><h2>Indexing</h2><div class="abstract"><div class="shortened"><ul> <li><a href="https://www.scopus.com/sourceid/21101049547">Scopus</a></li> <li><a href="https://doaj.org/toc/2410-0218">DOAJ</a></li> <li><a href="https://dblp.uni-trier.de/db/journals/inis/">DBLP</a></li> <li><a href="https://search.crossref.org/?q=2410-0218">CrossRef</a></li> <li>[OCLC Discovery Services](https://www.worldcat.org/search?q=eai+endorsed+tran…</li> </ul></div><div class="full"><ul> <li><a href="https://www.scopus.com/sourceid/21101049547">Scopus</a></li> <li><a href="https://doaj.org/toc/2410-0218">DOAJ</a></li> <li><a href="https://dblp.uni-trier.de/db/journals/inis/">DBLP</a></li> <li><a href="https://search.crossref.org/?q=2410-0218">CrossRef</a></li> <li><a href="https://www.worldcat.org/search?q=eai+endorsed+transactions+on+industrial+networks&qt=owc_search">OCLC Discovery Services</a></li> <li><a href="https://europub.co.uk/journals/8120">EuroPub</a></li> <li><a href="https://publons.com/journal/29023/eai-endorsed-transactions-on-industrial-networks-a">Publons</a></li> <li><a href="https://app.dimensions.ai/discover/publication?or_facet_source_title=jour.1152852">Dimensions</a></li> <li><a href="https://www.proquest.com/products-services/Publicly-Available-Content-Database.html#overviewlinkSection">Publicly Available Content Database (ProQuest)</a></li> <li><a href="https://www.proquest.com/products-services/adv_tech_aero.html">Advanced Technologies & Aerospace Database (ProQuest)</a></li> <li><a href="https://www.proquest.com/products-services/adv_tech_aero.html">SciTech Premium Collection (ProQuest)</a></li> <li><a href="https://scholar.google.sk/scholar?as_ylo=2018&q=source:EAI+source:Endorsed+source:Transactions+source:on+source:Industrial+source:Networks+source:and+source:Intelligent+source:Systems&hl=es&as_sdt=0,5">Google Scholar</a></li> </ul></div> <span class="expander more"><a class="trigger">more »</a></span></div><h2>Editorial Board</h2><div class="abstract"><div class="shortened"><ul> <li>Ala Al-Fuqaha (Western Michigan University, USA)</li> <li>Al-Sakib Khan Pathan (Southeast University, Bangladesh)</li> <li>Ammar Rayes (Cisco Systems, USA)</li> <li>Antonino Masaracchia (IIT-CNR, Italy)</li> <li>Athanasios Maglaras (Dr, Prof . ofT.E.I. of Larissa)</li> <li>Berk Canberk (Northeastern University, USA)</li> <li>Ca V. Phan (…</li> </ul></div><div class="full"><ul> <li>Ala Al-Fuqaha (Western Michigan University, USA)</li> <li>Al-Sakib Khan Pathan (Southeast University, Bangladesh)</li> <li>Ammar Rayes (Cisco Systems, USA)</li> <li>Antonino Masaracchia (IIT-CNR, Italy)</li> <li>Athanasios Maglaras (Dr, Prof . ofT.E.I. of Larissa)</li> <li>Berk Canberk (Northeastern University, USA)</li> <li>Ca V. Phan (Ho Chi Minh City University of Technology and Education, Vietnam)</li> <li>Chau Yuen (Singapore University of Technology and Design, Singapore)</li> <li>Chengfei Liu (Swinburne University of Technology, Australia)</li> <li>Chinmoy Kundu (University of Texas at Dallas, USA)</li> <li>Christer Carlsson (Åbo Akademi University, Finland)</li> <li>Chunsheng Zhu (University of British Columbia)</li> <li>Constandinos Mavromoustakis (University of Nicosia, Cyprus)</li> <li>Der-Jiunn Deng (National Changhua University of Education, Taiwan)</li> <li>Dickson Chiu (The University of Hong Kong)</li> <li>Eleanna Kafeza (Athens University of Economics and Business, Greece)</li> <li>Fu-ren Lin (National Tsing Hua University, Taiwan)</li> <li>Gerhard Hancke (University of London, UK)</li> <li>Guangjie Han (Hohai University, China)</li> <li>Guojun Wang (Central South University, China)</li> <li>Hacene Fouchal (University of Reims Champagne-Ardenne, France)</li> <li>Haklae Kim (Chung-Ang University, South Korea)</li> <li>Halil Yetgin (Bitlis Eren University, Turkey)</li> <li>Hideyasu Sasaki (Ritsumeikan University, Kyoto, Japan)</li> <li>Ho-fung Leung (Chinese University of Hong Kong, Hong Kong)</li> <li>Honggang Wang (University of Massachusetts Dartmouth, USA)</li> <li>Hua Hu (Hangzhou Dianzi University, China)</li> <li>Ibrahim Kushchu (Mobile Government Consortium International, UK)</li> <li>Irene Kafeza (Irene Law Office, Greece)</li> <li>Isabelle Comyn-Wattiau (ESSEC Business School Paris, France)</li> <li>Jaime Lloret- Mauri (Universitat Politècnica de València, Spain)</li> <li>Javier M. Aguiar (Universidad de Valladolid, Valladolid, Spain)</li> <li>Jesus Alonso-Zarate (Telecommunications Technology Center of Catalonia, Spain)</li> <li>Jian Yang (Macquarie University, Australia)</li> <li>Jiankun Hu (University of New South Wales, Australia)</li> <li>Jianmin Jiang (Shenzhen University)</li> <li>Jianwei Niu (Beihang University, China)</li> <li>Jinlei Jiang (Tsinghua University, China)</li> <li>Jinsong Wu (Bell Laboratory, China)</li> <li>Joel Rodrigues (Inst. Telecomunicações, Univ. of Beira Interior, Portugal)</li> <li>Juan Trujillo (University of Alicante, Spain)</li> <li>Jucheng Yang (Tianjing University of Technology, China)</li> <li>Junqing Zhang (Queen's University Belfast)</li> <li>KUN WANG (Nanjing University of Posts and Telecommunications)</li> <li>Kuo-Ming Chao (Leader – Distributed Systems and Modelling Research Group, UK)</li> <li>Leandros A. Maglaras (De Montfort University, UK)</li> <li>Lei Wang (Dalian University of Technology, China)</li> <li>Liang Zhou (Nanjing University of Posts and Telecommunications, China)</li> <li>Long D. Nguyen (Dong Nai University, Vietnam)</li> <li>Maggie M. Wang (The University of Hong Kong, Hong Kong)</li> <li>Nghia Duong-Trung (German Research Center for Artificial Intelligence, Germany)</li> <li>Ngo Hoang Tu (Seoul National University of Science and Technology, South Korea)</li> <li>Nguyen Van Nam (Viettel, Vietnam)</li> <li>Nicholas C Romano (Oklahoma State University, USA)</li> <li>Noel Crespi (Institut Mines-Telecom, Telecom SudParis, France)</li> <li>Panlong Yang (PLA University of Science and Technology, China)</li> <li>Pasi Tyrväinen (University of Jyväskylä, Finland)</li> <li>Patrick C.K. Hung (University of Ontario Institute of Technology, Canada)</li> <li>Periklis Chatzimisios (Alexander TEI of Thessaloniki, Greece)</li> <li>Pierluigi Siano (Università degli Studi di Salerno, Italy)</li> <li>Pirkko Walden (Abo Akademi University, Finland)</li> <li>Phuong Bui (Duy Tan University, Vietnam)</li> <li>Raymond Y.K Lau (City University of Hong Kong, Hong Kong)</li> <li>Richard Yu (Carleton University, Canada)</li> <li>Rong Yu (Guangdong University of Technology, China)</li> <li>Rose Hu (Utah State University, USA)</li> <li>Sammy Chan (City University of HongKong, HK)</li> <li>Shing-Chi Cheung (Hong Kong University of Science and Technology, Hong Kong)</li> <li>Stephen J. H. Yang (National Central University, Taiwan)</li> <li>Syed Hassan Ahmed (University of Central Florida, USA)</li> <li>Thanh-Phuong Nguyen (University of Toulon, France)</li> <li>Tran Trung Duy (PTIT, VietNam)</li> <li>Trang Hoang (Ho Chi Minh City University of Technology - Vietnam National University Ho Chi Minh City, Vietnam)</li> <li>Tuan-Minh Pham (Phenikaa University, Vietnam)</li> <li>Umar Zakir Abdul Hamid (Sensible 4 Oy, Helsinki)</li> <li>Victor Leung (The University of British Columbia)</li> <li>Vo Nguyen Son Dr. (Duy Tan University, Vietnam)</li> <li>Wai-Wa Fung (Information Security and Forensics Society, Hong Kong)</li> <li>Walid Gaaloul (Institut National des Télécommunications, France)</li> <li>Weiwei Jiang, (Beijing University of Posts and Telecommunications (BUPT), China)</li> <li>Wendy W. Y. Hui (University of Nottingham at Ningbo, China)</li> <li>William Cheung (Hong Kong Baptist University, Hong Kong)</li> <li>Xianfu Chen (VTT Technical Research Centre of Finland, Finland)</li> <li>Xiang Gui (Massey University, New Zealand)</li> <li>Xiaoling Wu (Chinese Academy of Sciences, China)</li> <li>Xu Wang (Heriot Watt University, UK)</li> <li>Yan Bai (University of Washington Tacoma, USA)</li> <li>Yan Zhang (Simula Research Laboratory and University of Oslo, Norway)</li> <li>Yi Zhuang (Zhejian Gongshang University, China)</li> <li>Yong Li (Tsinghua University, China)</li> <li>Yong Tang (South China Normal University, China)</li> <li>Yuanfang Chen (Institute Mines-Telecom, University Pierre and Marie Curie )</li> <li>Yuexing Peng (Beijing University of Posts and Telecommunications, China)</li> <li>Yuqing Sun (Shangdong University, China)</li> <li>Zakaria Maamar (Zayed University, UAE)</li> <li>Zhangbing Zhou (China University of Geosciences, China)</li> <li>Zhichao Sheng (Shanghai University, China)</li> <li>ZhiMing Cai (Macau University of Science and Technology, Macau)</li> <li>Mithun Mukherjee (Nanjing University of Information Science and Technology, China)</li> <li> </li> </ul></div> <span class="expander more"><a class="trigger">more »</a></span></div><h2>Journal Blurb</h2><div class="abstract"><div class="shortened"><p>Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/inis/index</p></div><div class="full"><p>Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/inis/index</p></div> <span class="expander more"><a class="trigger">more »</a></span></div></div></div></section><section class="publication-info"><dl class="metadata"><dt class="title">Publisher</dt> <dd class="value">ICST</dd> <dt class="title">ISSN</dt> <dd class="value">2410-0218</dd> <dt class="title">Volume</dt> <dd class="value">2</dd></dl><dl class="metadata"><dt class="title">Published</dt> <dd class="value">2015-06-04</dd></dl></section></section></form></section></section><div class="clear"></div><footer><div class="links"><a href="https://www.ebsco.com/" target="_blank"><img class="logo ebsco-logo" src="/images/ebsco.png" alt="EBSCO"></a><a href="https://www.proquest.com/" target="_blank"><img class="logo proquest-logo" src="/images/proquest.png" alt="ProQuest"></a><a href="https://dblp.uni-trier.de/db/journals/publ/icst.html" target="_blank"><img class="logo dblp-logo" src="/images/dblp.png" alt="DBLP"></a><a href="https://doaj.org/search?source=%7B%22query%22%3A%7B%22filtered%22%3A%7B%22filter%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22term%22%3A%7B%22index.publisher.exact%22%3A%22European%20Alliance%20for%20Innovation%20(EAI)%22%7D%7D%5D%7D%7D%2C%22query%22%3A%7B%22query_string%22%3A%7B%22query%22%3A%22european%20alliance%20for%20innovation%22%2C%22default_operator%22%3A%22AND%22%2C%22default_field%22%3A%22index.publisher%22%7D%7D%7D%7D%7Dj" target="_blank"><img class="logo doaj-logo" src="/images/doaj.jpg" alt="DOAJ"></a><a href="https://www.portico.org/publishers/eai/" target="_blank"><img class="logo portico-logo" src="/images/portico.png" alt="Portico"></a><a href="http://eai.eu/" target="_blank"><img class="logo eai-logo" src="/images/eai.png"></a></div></footer></div><div class="footer-container"><div class="footer-width"><div class="footer-column logo-column"><a href="https://eai.eu/"><img src="https://eudl.eu/images/logo_new-1-1.png" alt="EAI Logo"></a></div><div class="footer-column"><h4>About EAI</h4><ul><li><a href="https://eai.eu/who-we-are/">Who We Are</a></li><li><a href="https://eai.eu/leadership/">Leadership</a></li><li><a href="https://eai.eu/research-areas/">Research Areas</a></li><li><a href="https://eai.eu/partners/">Partners</a></li><li><a href="https://eai.eu/media-center/">Media Center</a></li></ul></div><div class="footer-column"><h4>Community</h4><ul><li><a href="https://eai.eu/eai-community/">Membership</a></li><li><a href="https://eai.eu/conferences/">Conference</a></li><li><a href="https://eai.eu/recognition/">Recognition</a></li><li><a href="https://eai.eu/corporate-sponsorship">Sponsor Us</a></li></ul></div><div class="footer-column"><h4>Publish with EAI</h4><ul><li><a href="https://eai.eu/publishing">Publishing</a></li><li><a href="https://eai.eu/journals/">Journals</a></li><li><a href="https://eai.eu/proceedings/">Proceedings</a></li><li><a href="https://eai.eu/books/">Books</a></li><li><a href="https://eudl.eu/">EUDL</a></li></ul></div></div></div><script type="text/javascript" src="https://eudl.eu/js/gacode.js"></script><script src="/js/highlight.pack.js"></script><script>hljs.initHighlightingOnLoad();</script><script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"http://eudl.eu","name":"Home","image":null}},{"@type":"ListItem","position":2,"item":{"@id":"http://eudl.eu/journals","name":"Journals","image":null}},{"@type":"ListItem","position":3,"item":{"@id":"http://eudl.eu/journal/inis","name":"inis","image":null}},{"@type":"ListItem","position":4,"item":{"@id":"/issue/inis/2/4","name":"Issue 4","image":null}}]}</script></body></html>