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Publisher: IGI Global   (Total: 145 journals)

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Showing 1 - 145 of 145 Journals sorted alphabetically
Information Resources Management J.     Full-text available via subscription   (Followers: 8, SJR: 0.133, h-index: 26)
Intl. J. of 3-D Information Modeling     Full-text available via subscription   (Followers: 3)
Intl. J. of Actor-Network Theory and Technological Innovation     Full-text available via subscription   (Followers: 4)
Intl. J. of Adaptive, Resilient and Autonomic Systems     Full-text available via subscription   (Followers: 3)
Intl. J. of Adult Vocational Education and Technology     Hybrid Journal   (Followers: 11)
Intl. J. of Advanced Pervasive and Ubiquitous Computing     Full-text available via subscription   (Followers: 4)
Intl. J. of Agent Technologies and Systems     Full-text available via subscription   (Followers: 5)
Intl. J. of Agricultural and Environmental Information Systems     Full-text available via subscription   (Followers: 2, SJR: 0.22, h-index: 8)
Intl. J. of Ambient Computing and Intelligence     Full-text available via subscription   (Followers: 2, SJR: 0.12, h-index: 7)
Intl. J. of Applied Behavioral Economics     Full-text available via subscription   (Followers: 12)
Intl. J. of Applied Evolutionary Computation     Full-text available via subscription   (Followers: 4)
Intl. J. of Applied Geospatial Research     Hybrid Journal   (Followers: 5, SJR: 0.126, h-index: 6)
Intl. J. of Applied Industrial Engineering     Full-text available via subscription   (Followers: 6)
Intl. J. of Applied Logistics     Full-text available via subscription   (Followers: 7)
Intl. J. of Applied Metaheuristic Computing     Full-text available via subscription   (Followers: 4)
Intl. J. of Art, Culture and Design Technologies     Full-text available via subscription   (Followers: 9)
Intl. J. of Artificial Life Research     Full-text available via subscription   (Followers: 2)
Intl. J. of Asian Business and Information Management     Full-text available via subscription   (Followers: 3)
Intl. J. of Aviation Technology, Engineering and Management     Full-text available via subscription   (Followers: 5)
Intl. J. of Biomaterials Research and Engineering     Full-text available via subscription   (Followers: 2)
Intl. J. of Biomedical and Clinical Engineering     Full-text available via subscription   (Followers: 4)
Intl. J. of Business Data Communications and Networking     Full-text available via subscription   (Followers: 2, SJR: 0.111, h-index: 7)
Intl. J. of Business Intelligence Research     Full-text available via subscription   (Followers: 3)
Intl. J. of Chemoinformatics and Chemical Engineering     Full-text available via subscription   (Followers: 2)
Intl. J. of Cloud Applications and Computing     Hybrid Journal   (Followers: 13)
Intl. J. of Cognitive Informatics and Natural Intelligence     Full-text available via subscription   (Followers: 2, SJR: 0.237, h-index: 12)
Intl. J. of Computational Models and Algorithms in Medicine     Full-text available via subscription  
Intl. J. of Computer Vision and Image Processing     Full-text available via subscription   (Followers: 19)
Intl. J. of Computer-Assisted Language Learning and Teaching     Full-text available via subscription   (Followers: 13)
Intl. J. of Conceptual Structures and Smart Applications     Full-text available via subscription   (Followers: 1)
Intl. J. of Creative Interfaces and Computer Graphics     Full-text available via subscription   (Followers: 2)
Intl. J. of Customer Relationship Marketing and Management     Full-text available via subscription   (Followers: 18)
Intl. J. of Cyber Behavior, Psychology and Learning     Full-text available via subscription   (Followers: 6, SJR: 0.18, h-index: 6)
Intl. J. of Cyber Ethics in Education     Full-text available via subscription   (Followers: 2)
Intl. J. of Data Warehousing and Mining     Full-text available via subscription   (Followers: 12, SJR: 0.496, h-index: 15)
Intl. J. of Decision Support System Technology     Full-text available via subscription   (Followers: 2, SJR: 0.131, h-index: 5)
Intl. J. of Dependable and Trustworthy Information Systems     Full-text available via subscription  
Intl. J. of Digital Crime and Forensics     Full-text available via subscription   (Followers: 11, SJR: 0.119, h-index: 7)
Intl. J. of Digital Library Systems     Full-text available via subscription   (Followers: 71)
Intl. J. of Digital Literacy and Digital Competence     Full-text available via subscription   (Followers: 6)
Intl. J. of Distance Education Technologies     Full-text available via subscription   (Followers: 7, SJR: 0.14, h-index: 11)
Intl. J. of Distributed Systems and Technologies     Full-text available via subscription   (Followers: 3, SJR: 0.183, h-index: 7)
Intl. J. of E-Adoption     Full-text available via subscription   (SJR: 0.124, h-index: 0)
Intl. J. of E-Business Research     Hybrid Journal   (Followers: 4, SJR: 0.162, h-index: 12)
Intl. J. of e-Collaboration     Full-text available via subscription   (Followers: 1, SJR: 0.231, h-index: 10)
Intl. J. of E-Entrepreneurship and Innovation     Full-text available via subscription   (Followers: 7)
Intl. J. of E-Health and Medical Communications     Full-text available via subscription   (Followers: 2, SJR: 0.168, h-index: 8)
Intl. J. of E-Planning Research     Full-text available via subscription  
Intl. J. of E-Politics     Full-text available via subscription   (Followers: 4)
Intl. J. of E-Services and Mobile Applications     Full-text available via subscription   (Followers: 6)
Intl. J. of Electronic Government Research     Full-text available via subscription   (Followers: 5, SJR: 0.403, h-index: 14)
Intl. J. of Embedded and Real-Time Communication Systems     Full-text available via subscription   (Followers: 6, SJR: 0.122, h-index: 5)
Intl. J. of Energy Optimization and Engineering     Hybrid Journal   (Followers: 5)
Intl. J. of Enterprise Information Systems     Full-text available via subscription   (Followers: 1, SJR: 0.289, h-index: 14)
Intl. J. of Fuzzy System Applications     Full-text available via subscription   (Followers: 4, SJR: 0.541, h-index: 9)
Intl. J. of Game-Based Learning     Hybrid Journal   (Followers: 16, SJR: 0.163, h-index: 8)
Intl. J. of Gaming and Computer-Mediated Simulations     Full-text available via subscription   (Followers: 6, SJR: 0.285, h-index: 9)
Intl. J. of Geotechnical Earthquake Engineering     Full-text available via subscription   (Followers: 9, SJR: 0.164, h-index: 3)
Intl. J. of Green Computing     Full-text available via subscription   (Followers: 1)
Intl. J. of Grid and High Performance Computing     Full-text available via subscription   (Followers: 2, SJR: 0.209, h-index: 7)
Intl. J. of Handheld Computing Research     Full-text available via subscription  
Intl. J. of Healthcare Delivery Reform Initiatives     Full-text available via subscription   (Followers: 1)
Intl. J. of Healthcare Information Systems and Informatics     Hybrid Journal   (Followers: 7, SJR: 0.194, h-index: 7)
Intl. J. of Human Capital and Information Technology Professionals     Full-text available via subscription   (Followers: 3, SJR: 0.26, h-index: 10)
Intl. J. of ICT Research and Development in Africa     Full-text available via subscription   (Followers: 4)
Intl. J. of Information and Communication Technology Education     Full-text available via subscription   (Followers: 16, SJR: 0.179, h-index: 7)
Intl. J. of Information Communication Technologies and Human Development     Full-text available via subscription   (Followers: 6)
Intl. J. of Information Retrieval Research     Full-text available via subscription   (Followers: 31)
Intl. J. of Information Security and Privacy     Full-text available via subscription   (Followers: 9, SJR: 0.111, h-index: 6)
Intl. J. of Information System Modeling and Design     Full-text available via subscription   (Followers: 2, SJR: 0.205, h-index: 9)
Intl. J. of Information Systems and Social Change     Full-text available via subscription   (Followers: 2)
Intl. J. of Information Systems and Supply Chain Management     Full-text available via subscription   (Followers: 21, SJR: 0.279, h-index: 9)
Intl. J. of Information Systems for Crisis Response and Management     Full-text available via subscription   (Followers: 5)
Intl. J. of Information Systems in the Service Sector     Full-text available via subscription   (Followers: 3, SJR: 0.203, h-index: 6)
Intl. J. of Information Technologies and Systems Approach     Full-text available via subscription   (Followers: 2, SJR: 0.146, h-index: 4)
Intl. J. of Information Technology and Web Engineering     Hybrid Journal   (Followers: 1, SJR: 0.127, h-index: 6)
Intl. J. of Information Technology Project Management     Full-text available via subscription   (Followers: 12)
Intl. J. of Innovation in the Digital Economy     Full-text available via subscription   (Followers: 3)
Intl. J. of Intelligent Information Technologies     Full-text available via subscription   (Followers: 1, SJR: 0.242, h-index: 9)
Intl. J. of Intelligent Mechatronics and Robotics     Full-text available via subscription   (Followers: 4, SJR: 0.143, h-index: 5)
Intl. J. of Interactive Communication Systems and Technologies     Full-text available via subscription   (Followers: 3)
Intl. J. of Interdisciplinary Telecommunications and Networking     Full-text available via subscription   (Followers: 4)
Intl. J. of IT Standards and Standardization Research     Full-text available via subscription   (SJR: 0.126, h-index: 7)
Intl. J. of IT/Business Alignment and Governance     Full-text available via subscription  
Intl. J. of Knowledge and Systems Science     Full-text available via subscription   (Followers: 1)
Intl. J. of Knowledge Discovery in Bioinformatics     Full-text available via subscription   (Followers: 3)
Intl. J. of Knowledge Management     Full-text available via subscription   (Followers: 14, SJR: 0.585, h-index: 11)
Intl. J. of Knowledge Society Research     Full-text available via subscription   (Followers: 1)
Intl. J. of Knowledge-Based Organizations     Full-text available via subscription   (Followers: 2)
Intl. J. of Manufacturing, Materials, and Mechanical Engineering     Full-text available via subscription   (Followers: 16, SJR: 0.161, h-index: 4)
Intl. J. of Measurement Technologies and Instrumentation Engineering     Full-text available via subscription   (Followers: 1)
Intl. J. of Mobile and Blended Learning     Full-text available via subscription   (Followers: 21, SJR: 0.271, h-index: 7)
Intl. J. of Mobile Computing and Multimedia Communications     Full-text available via subscription   (Followers: 4, SJR: 0.122, h-index: 6)
Intl. J. of Mobile Human Computer Interaction     Hybrid Journal   (Followers: 9, SJR: 0.12, h-index: 7)
Intl. J. of Monitoring and Surveillance Technologies Research     Full-text available via subscription   (Followers: 3)
Intl. J. of Multimedia Data Engineering and Management     Full-text available via subscription   (Followers: 5)
Intl. J. of Nanotechnology and Molecular Computation     Full-text available via subscription   (Followers: 3)
Intl. J. of Natural Computing Research     Hybrid Journal  
Intl. J. of Online Marketing     Full-text available via subscription   (Followers: 6)
Intl. J. of Online Pedagogy and Course Design     Full-text available via subscription   (Followers: 8)
Intl. J. of Open Source Software and Processes     Full-text available via subscription   (Followers: 7, SJR: 0.206, h-index: 5)
Intl. J. of Operations Research and Information Systems     Full-text available via subscription   (Followers: 7)
Intl. J. of Organizational and Collective Intelligence     Hybrid Journal   (Followers: 2)
Intl. J. of People-Oriented Programming     Full-text available via subscription  
Intl. J. of Privacy and Health Information Management     Full-text available via subscription   (Followers: 3)
Intl. J. of Public and Private Healthcare Management and Economics     Full-text available via subscription   (Followers: 4)
Intl. J. of Quality Assurance in Engineering and Technology Education     Full-text available via subscription   (Followers: 2)
Intl. J. of Reliable and Quality E-Healthcare     Full-text available via subscription   (Followers: 1)
Intl. J. of Robotics Applications and Technologies     Full-text available via subscription   (Followers: 3)
Intl. J. of Secure Software Engineering     Full-text available via subscription   (Followers: 6)
Intl. J. of Service Science, Management, Engineering, and Technology     Full-text available via subscription   (Followers: 2)
Intl. J. of Signs and Semiotic Systems     Full-text available via subscription  
Intl. J. of Social and Organizational Dynamics in IT     Full-text available via subscription   (Followers: 3)
Intl. J. of Social Ecology and Sustainable Development     Full-text available via subscription   (Followers: 7, SJR: 0.138, h-index: 6)
Intl. J. of Sociotechnology and Knowledge Development     Full-text available via subscription   (Followers: 1, SJR: 0.145, h-index: 7)
Intl. J. of Software Innovation     Full-text available via subscription   (Followers: 2)
Intl. J. of Software Science and Computational Intelligence     Full-text available via subscription   (Followers: 2)
Intl. J. of Space Technology Management and Innovation     Full-text available via subscription   (Followers: 5)
Intl. J. of Strategic Decision Sciences     Full-text available via subscription   (Followers: 2)
Intl. J. of Strategic Information Technology and Applications     Full-text available via subscription   (Followers: 1)
Intl. J. of Surface Engineering and Interdisciplinary Materials Science     Full-text available via subscription   (Followers: 1)
Intl. J. of Sustainable Economies Management     Full-text available via subscription  
Intl. J. of Swarm Intelligence Research     Full-text available via subscription   (Followers: 3)
Intl. J. of Synthetic Emotions     Full-text available via subscription   (Followers: 1)
Intl. J. of System Dynamics Applications     Full-text available via subscription   (Followers: 3)
Intl. J. of Systems and Service-Oriented Engineering     Full-text available via subscription  
Intl. J. of Systems Biology and Biomedical Technologies     Full-text available via subscription   (Followers: 2)
Intl. J. of Technoethics     Full-text available via subscription   (Followers: 2, SJR: 0.102, h-index: 8)
Intl. J. of Technology and Educational Marketing     Full-text available via subscription   (Followers: 3)
Intl. J. of Technology and Human Interaction     Full-text available via subscription   (Followers: 2, SJR: 0.183, h-index: 11)
Intl. J. of Technology Diffusion     Full-text available via subscription   (Followers: 1)
Intl. J. of User-Driven Healthcare     Full-text available via subscription   (Followers: 1)
Intl. J. of Virtual and Personal Learning Environments     Full-text available via subscription   (Followers: 14, SJR: 0.176, h-index: 7)
Intl. J. of Virtual Communities and Social Networking     Full-text available via subscription   (Followers: 1)
Intl. J. of Web Portals     Full-text available via subscription   (Followers: 17, SJR: 0.116, h-index: 5)
Intl. J. of Web Services Research     Full-text available via subscription   (SJR: 0.267, h-index: 20)
Intl. J. of Web-Based Learning and Teaching Technologies     Hybrid Journal   (Followers: 17, SJR: 0.145, h-index: 4)
Intl. J. of Wireless Networks and Broadband Technologies     Full-text available via subscription   (Followers: 3)
Intl. J. on Semantic Web and Information Systems     Hybrid Journal   (Followers: 3, SJR: 1.051, h-index: 26)
J. of Cases on Information Technology     Full-text available via subscription   (Followers: 5, SJR: 0.208, h-index: 9)
J. of Database Management     Full-text available via subscription   (Followers: 9, SJR: 0.214, h-index: 26)
J. of Electronic Commerce in Organizations     Full-text available via subscription   (Followers: 1, SJR: 0.204, h-index: 17)
J. of Global Information Management     Full-text available via subscription   (Followers: 9, SJR: 0.266, h-index: 32)
J. of Information Technology Research     Full-text available via subscription   (Followers: 3, SJR: 0.119, h-index: 5)
J. of Organizational and End User Computing     Full-text available via subscription   (Followers: 1, SJR: 0.279, h-index: 24)

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Journal Cover International Journal of Software Innovation
  [2 followers]  Follow
    
   Full-text available via subscription Subscription journal
   ISSN (Print) 2166-7160 - ISSN (Online) 2166-7179
   Published by IGI Global Homepage  [145 journals]
  • A Novel Approach for Ontology-Based Feature Vector Generation for Web Text
           Document Classification
    • Authors: IGI Global
      Abstract:
      Authors : Mohamed K. Elhadad (Computer Engineering Department, Military Technical College, Cairo, Egypt), Khaled M. Badran (Computer Engineering Department, Military Technical College, Cairo, Egypt), Gouda I. Salama (Computer Engineering Department, Military Technical College, Cairo, Egypt)
      Volume/Issue: 6/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2018010101
      Date Posted: 1/1/2018 12:00:00 AM The task of extracting the used feature vector in mining tasks (classification, clustering …etc.) is considered the most important task for enhancing the text processing capabilities. This paper proposes a novel approach to be used in building the feature vector used in web text document classification process; adding semantics in the generated feature vector. This approach is based on utilizing the benefit of the hierarchal structure of the WordNet ontology, to eliminate meaningless words from the generated feature vector that has no semantic relation with any of WordNet lexical categories; this leads to the reduction of the feature vector size without losing information on the text, also enriching the feature vector by concatenating each word with its corresponding WordNet lexical category. For mining tasks, the Vector Space Model (VSM) is used to represent text documents and the Term Frequency Inverse Document Frequency (TFIDF) is used as a term weighting technique. The proposed ontology based approach was evaluated against the Principal component analysis (PCA) approach, and against an ontology based reduction technique without the process of adding semantics to the generated feature vector using several experiments with five different classifiers (SVM, JRIP, J48, Naive-Bayes, and kNN). The experimental results reveal the effectiveness of the authors' proposed approach against other traditional approaches to achieve a better classification accuracy F-measure, precision, and recall.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
  • A Matching Approach to Factor Scores Based on Online Sponsored Search
           Auction
    • Authors: IGI Global
      Abstract:
      Authors : Xiaohui Li (Computer Science and Technology College, Harbin Engineering University, Harbin, China), Hongbin Dong (Computer Science and Technology College, Harbin Engineering University, Harbin, China), Yang Zhou (College of Humanities and Social Sciences, Harbin Engineering University, Harbin, China), Jun He (Department of Computer Science Aberystwyth University, Aberystwyth, UK)
      Volume/Issue: 6/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2018010102
      Date Posted: 1/1/2018 12:00:00 AM How does a search engine company decide which advertisements to display for each query to maximize its revenue' This turns out to be a generalization of the online bipartite matching problem. In this paper, search engines decide the strategy to allocate resources with an advertiser credibility factor under budget constraints. Based on the optimal algorithm, which is the notion of a trade-off revealing LP, this paper remains the competitive ratio as 1-1/e with an advertiser credibility factor. During the ranking in the keywords auctions, the authors calculate factor scores. The new arrival keywords should match to the advertisement which has the maximum factor scores. The amount of spent money, budget constraints, CTR (Click Through Rate) and a credibility factor are added to the trade-off function using in the authors' algorithms. In the long term, users tend to use the search engine with high credibility, which will bring greater revenues. The search engine will attract advertisers to bid on keywords and improve their credibility actively.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
  • Determinants of Personal Health Information Disclosure: A Case of Mobile
           Application
    • Authors: IGI Global
      Abstract:
      Authors : Kanokwan Atchariyachanvanich (Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand), Nichaporn Mitinunwong (Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand), Butsaraporn Tamthong (Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand), Noboru Sonehara (Information and Society Research Division, National Institute of Informatics, Tokyo, Japan & Tsuda University, Tokyo, Japan)
      Volume/Issue: 6/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2018010103
      Date Posted: 1/1/2018 12:00:00 AM This study explored the factors that affect personal health information (PHI) disclosure via a mobile application (app) in Thailand. Since mobile apps are increasingly popular, as is the Thai people's concern on their health condition, many mobile app service providers want to know which factors would persuade customers to reveal their PHI via mobile apps. This research model was, therefore, developed and included the six factors of: personalized service, self-presentation, mobile app reputation, familiarity, perceived benefits and privacy concerns. The hypotheses were tested by structural equation modeling using the questionnaire responses from 294 valid subjects. Surprisingly, privacy concern was not significantly negatively related to the intention to disclose PHI. However, the significance effect of the perceived benefit, personalized service and self-presentation were consistent with previous studies. In addition, the respondents were willing to reveal different personal information in different situations. The implication of the result will shed light on the development of a healthcare mobile app service provider.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
  • Evaluating the Understandability of Android Applications
    • Authors: IGI Global
      Abstract:
      Authors : Ahmad A. Saifan (Faculty of IT, Software Engineering Department, Yarmouk University, Irbid, Jordan), Hiba Alsghaier (Faculty of IT, Computer Information Systems Department, Yarmouk University, Irbid, Jordan), Khaled Alkhateeb (Yarmouk University, Irbid, Jordan)
      Volume/Issue: 6/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2018010104
      Date Posted: 1/1/2018 12:00:00 AM Understandability is one of the major quality attributes used to measure the understandability of object oriented software and Android applications based on certain metrics. It is very important in most software development life cycles because misunderstanding any of the steps of the software development life cycle will lead to a poor-quality product. Mobile applications, like any software, need to be maintained and evolved over time, so understanding them is essential to their maintainability, reliability, quality and reusability. In this research, the authors discuss the importance of understandability in Android applications and determine the most influential metrics by using Metrics Reloaded tool to measure the metrics values. Then, based on these values, they develop a formula to measure the understandability for Android applications. The results show that the understandability of Android application can be measured by the formula developed based on object oriented and Android metrics.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
  • Fuzzy Mutual Information Feature Selection Based on Representative Samples
    • Authors: IGI Global
      Abstract:
      Authors : Omar A. M. Salem (Faculty of Computer Science and Informatics, Suez Canal University, Ismailia, Egypt), Liwei Wang (International School of Software, Wuhan University, Wuhan, China)
      Volume/Issue: 6/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2018010105
      Date Posted: 1/1/2018 12:00:00 AM Building classification models from real-world datasets became a difficult task, especially in datasets with high dimensional features. Unfortunately, these datasets may include irrelevant or redundant features which have a negative effect on the classification performance. Selecting the significant features and eliminating undesirable features can improve the classification models. Fuzzy mutual information is widely used feature selection to find the best feature subset before classification process. However, it requires more computation and storage space. To overcome these limitations, this paper proposes an improved fuzzy mutual information feature selection based on representative samples. Based on benchmark datasets, the experiments show that the proposed method achieved better results in the terms of classification accuracy, selected feature subset size, storage, and stability.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Mon, 01 Jan 2018 00:00:00 GMT
       
  • Clustering Based on Two Layers for Abnormal Event Detection in Video
           Surveillance
    • Authors: IGI Global
      Abstract:
      Authors : Emna Fendri (Miracl-FS, Sfax University, Sfax, Tunisia), Najla Bouarada Ghrab (Miracl-ISIMS, Sfax University, Sfax, Tunisia), Mohamed Hammami (Miracl-FS, Sfax University, Sfax, Tunisia)
      Volume/Issue: 5/4

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017100101
      Date Posted: 10/1/2017 12:00:00 AM Abnormal event detection has attracted great research attention in video surveillance. In this paper, the authors presented a robust method of trajectories clustering for abnormal event detection. This method is based on two layers and benefits from two well-known clustering algorithms: the agglomerative hierarchical clustering and the k-means clustering. Facing to the challenges related to the trajectories, e.g., different sizes, the authors introduce a preprocessing step to unify their sizes and reduce their dimensionality. The experimental results show the performance and accuracy of their proposed method.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Oct 2017 00:00:00 GMT
       
  • Machine Learning Classification to Effort Estimation for Embedded Software
           Development Projects
    • Authors: IGI Global
      Abstract:
      Authors : Kazunori Iwata (Department of Business Administration, Aichi University, Nagoya, Japan), Toyoshiro Nakashima (Department of Culture-Information Studies, Sugiyama Jogakuen University, Nagoya, Japan), Yoshiyuki Anan (Process Innovation H.Q, Omron Software Co., Ltd., Kyoto, Japan), Naohiro Ishii (Department of Information Science, Aichi Institute of Technology, Nagoya, Japan)
      Volume/Issue: 5/4

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017100102
      Date Posted: 10/1/2017 12:00:00 AM This paper discusses the effect of classification in estimating the amount of effort (in man-days) associated with code development. Estimating the effort requirements for new software projects is especially important. As outliers are harmful to the estimation, they are excluded from many estimation models. However, such outliers can be identified in practice once the projects are completed, and so they should not be excluded during the creation of models and when estimating the required effort. This paper presents classifications for embedded software development projects using an artificial neural network (ANN) and a support vector machine. After defining the classifications, effort estimation models are created for each class using linear regression, an ANN, and a form of support vector regression. Evaluation experiments are carried out to compare the estimation accuracy of the model both with and without the classifications using 10-fold cross-validation. In addition, the Games-Howell test with one-way analysis of variance is performed to consider statistically significant evidence.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Oct 2017 00:00:00 GMT
       
  • Enhanced Frequent Itemsets Based on Topic Modeling in Information
           Filtering
    • Authors: IGI Global
      Abstract:
      Authors : Than Than Wai (University of Computer Studies, Mandalay, Myanmar), Sint Sint Aung (University of Computer Studies, Mandalay, Myanmar)
      Volume/Issue: 5/4

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017100103
      Date Posted: 10/1/2017 12:00:00 AM In order to generate user's information needs from a collection of documents, many term-based and pattern-based approaches have been used in Information Filtering. In these approaches, the documents in the collection are all about one topic. However, user's interests can be diverse and the documents in the collection often involve multiple topics. Topic modeling is useful for the area of machine learning and text mining. It generates models to discover the hidden multiple topics in a collection of documents and each of these topics are presented by distribution of words. But its effectiveness in information filtering has not been so well explored. Patterns are always thought to be more discriminative than single terms for describing documents. The major challenge found in frequent pattern mining is a large number of result patterns. As the minimum threshold becomes lower, an exponentially large number of patterns are generated. To deal with the above mentioned limitations and problems, in this paper, a novel information filtering model, EFITM (Enhanced Frequent Itemsets based on Topic Model) model is proposed. Experimental results using the CRANFIELD dataset for the task of information filtering show that the proposed model outperforms over state-of-the-art models.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Oct 2017 00:00:00 GMT
       
  • A Novel Approach for Ontology-Based Dimensionality Reduction for Web Text
           Document Classification
    • Authors: IGI Global
      Abstract:
      Authors : Mohamed K. Elhadad (Military Technical College, Cairo, Egypt), Khaled M. Badran (Military Technical College, Cairo, Egypt), Gouda I. Salama (Military Technical College, Cairo, Egypt)
      Volume/Issue: 5/4

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017100104
      Date Posted: 10/1/2017 12:00:00 AM Dimensionality reduction of feature vector size plays a vital role in enhancing the text processing capabilities; it aims in reducing the size of the feature vector used in the mining tasks (classification, clustering, etc.). This paper proposes an efficient approach to be used in reducing the size of the feature vector for web text document classification process. This approach is based on using WordNet ontology, utilizing the benefit of its hierarchal structure, to eliminate words from the generated feature vector that has no relation with any of WordNet lexical categories; this leads to the reduction of the feature vector size without losing information on the text. For mining tasks, the Vector Space Model (VSM) is used to represent text documents and the Term Frequency Inverse Document Frequency (TFIDF) is used as a term weighting method. The proposed ontology based approach was evaluated against the Principal component analysis (PCA) approach using several experiments. The experimental results reveal the effectiveness of the authors' proposed approach against other traditional approaches to achieve a better classification accuracy F-measure, precision, and recall.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Oct 2017 00:00:00 GMT
       
  • An Evaluative Review and Research Challenges of the Simulation in Cloud
           Environment
    • Authors: IGI Global
      Abstract:
      Authors : Fairouz Fakhfakh (ReDCAD Laboratory, University of Sfax, Sfax, Tunisia), Hatem Hadj Kacem (ReDCAD Laboratory, University of Sfax, Sfax, Tunisia), Ahmed Hadj Kacem (ReDCAD Laboratory, University of Sfax, Sfax, Tunisia)
      Volume/Issue: 5/4

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017100105
      Date Posted: 10/1/2017 12:00:00 AM The first obstacle to the realization of research on cloud computing is the development of an appropriate research platform. Although commercial clouds are realistic as platforms of research, they are not always practical due to the financial cost and time required by experiments. Also, it is difficult to achieve the evaluation of some critical scenarios and failure. In addition, the experiments are not repeatable, because there are several variables that are not under control of the tester which may affect results. Therefore, it is indispensable to use cloud simulators in order to model and evaluate the performance of cloud applications. This work presents a detailed taxonomy which focuses on the different features of cloud simulators. Then, it provides a comprehensive review of the existing simulation tools available to researchers and industry engineers. Also, a comparative study of these tools is presented. Finally, a discussion of the open research challenges concludes the paper.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Oct 2017 00:00:00 GMT
       
  • Assessment of BAR: Breakdown Agent Replacement Algorithm for SCRAM
    • Authors: IGI Global
      Abstract:
      Authors : Shivashish Jaishy (Aichi Institute of Technology, Toyota, Japan), Yoshiki Fukushige (Aichi Institute of Technology, Toyota, Japan), Nobuhiro Ito (Aichi Institute of Technology, Toyota, Japan), Kazunori Iwata (Aichi University, Toyota, Japan), Yoshinobu Kawabe (Aichi Institute of Technology, Toyota, Japan)
      Volume/Issue: 5/3

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017070101
      Date Posted: 7/1/2017 12:00:00 AM In the Multi-Agent Systems, many agents work together towards achieving a defined goal. As it may be difficult for the agents to work in a dynamic environment, the current concept is trying to focus on the issues of situation where there may be cases of agent breaking down. This algorithm will distinguish and groupify the breakdown agents from the active agents. The authors are focusing on this scenario and replacement of breakdown agents by active agents by implementing the SCRAM- Scalable Collision-avoiding Role Assignment with Minimal-makespan, which has generalized to many Multi-Agent Systems specifically focusing on the collision avoidance among the agents. The authors are trying to address the impact and fate of breakdown agents, which otherwise is not yet addressed in SCRAM, through a new algorithm. This paper is designed to allow the generalization of the concept of SCRAM without any collision and disturbances even in the case of agent breakdown.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Jul 2017 00:00:00 GMT
       
  • Vojta-Therapy: A Vision-Based Framework to Recognize the Movement Patterns
    • Authors: IGI Global
      Abstract:
      Authors : Muhammad Hassan Khan (Research Group of Pattern Recognition, University of Siegen, Siegen, Germany), Marcin Grzegorzek (Faculty of Informatics and Communication, University of Economics in Katowice, Katowice, Poland)
      Volume/Issue: 5/3

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017070102
      Date Posted: 7/1/2017 12:00:00 AM This paper proposed a novel computer vision-based framework to recognize the accurate movements of a patient during the Vojta-therapy. Vojta-therapy is a useful technique for the physical and mental impairments in humans. During the therapy, a specific stimulation is given to the patients to cause the patient's body to perform certain reflexive pattern movements. The repetition of this stimulation ultimately makes available the previously blocked connections between the spinal cord and brain, and after a few sessions, patients can perform these movements without any external stimulation. In this paper the authors propose an automatic method for patient detection and recognition of specific movements in his/her various body parts during the therapy process, using Microsoft Kinect camera. The proposed method works in three steps. In the first step, a robust template matching based algorithm is exploited for patient's detection using his/her head location. Second, several features are computed to capture the movements of different body parts during the therapy process. Third, in the classification stage, a multi-class support vector machine (mSVM) is used to classify the accurate movements of patient. The classification results ultimately reveal the correctness of the given treatment. The proposed algorithm is evaluated on the authors' challenging dataset, which was collected in a children hospital. The detection and classification results show that the proposed method is highly useful to recognize the correct movement pattern either in hospital or in-home therapy systems.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Jul 2017 00:00:00 GMT
       
  • An Improved Dynamic Load-Balancing Model
    • Authors: IGI Global
      Abstract:
      Authors : Wenqian Shang (School of Computer Science, Communication University of China, Beijing, China & Beijing Key Laboratory of Big Data in Security & Protection Industry,Beijing, China), Di Liu (Communication University of China, Beijing, China & Beijing Key Laboratory of Big Data in Security & Protection Industry, Beijing, China), Ligu Zhu (Communication University of China, Beijing, China & Beijing Key Laboratory of Big Data in Security & Protection Industry, Beijing, China), Dongyu Feng (Communication University of China, Beijing, China & Beijing Key Laboratory of Big Data in Security & Protection Industry, Beijing, China)
      Volume/Issue: 5/3

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017070103
      Date Posted: 7/1/2017 12:00:00 AM With the rapid development of big data and the national big data strategy is put forward, the Web server cluster facing more complex and severe challenges. The traditional load balancing algorithm has obvious limitations. This paper proposes a dynamic load-balancing model based on the SSAWF (Strong Suspend And Weak Forecast) mechanism. This model uses strong suspend mechanism and cubic exponential smoothing prediction method based on AHP algorithm for dynamic load balancing scheduling. Results of the experiments show that the improved model has more positive influence on read/ write performance of the cluster under abnormal system transient performance, high concurrency and high system load interaction, that's to say the load balancing effect is better than the traditional load balancing.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Jul 2017 00:00:00 GMT
       
  • A Video Recommendation Algorithm Based on Hyperlink-Graph Model
    • Authors: IGI Global
      Abstract:
      Authors : Songtao Shang (School of Computer Science, Communication University of China, Beijing, China), Wenqian Shang (School of Computer Science, Communication University of China, Beijing, China & Beijing Key Laboratory of Big Data in Security & Protection Industry,Beijing, China), Minyong Shi (School of Computer Science, Communication University of China, Beijing, China), Shuchao Feng (School of Science, Communication University of China, Beijing, China), Zhiguo Hong (School of Computer, Faculty of Science and Engineering, Communication University of China, Beijing, China)
      Volume/Issue: 5/3

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017070104
      Date Posted: 7/1/2017 12:00:00 AM The traditional graph-based personal recommendation algorithms mainly depend the user-item model to construct a bipartite graph. However, the traditional algorithms have low efficiency, because the matrix of the algorithms is sparse and it cost lots of time to compute the similarity between users or items. Therefore, this paper proposes an improved video recommendation algorithm based on hyperlink-graph model. This method cannot only improve the accuracy of the recommendation algorithms, but also reduce the running time. Furthermore, the Internet users may have different interests, for example, a user interest in watching news videos, and at the same time he or she also enjoy watching economic and sports videos. This paper proposes a complement algorithm based on hyperlink-graph for video recommendations. This algorithm improves the accuracy of video recommendations by cross clustering in user layers.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Jul 2017 00:00:00 GMT
       
  • Line-of-Sight Detection Using Center of Gravity with Pixel Number
           Variation
    • Authors: IGI Global
      Abstract:
      Authors : Takahito Niwa (Aichi Institute of Technology, Toyota, Japan), Ippei Torii (Aichi Institute of Technology, Toyota, Japan), Naohiro Ishii (Aichi Institute of Technology, Toyota, Japan)
      Volume/Issue: 5/3

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017070105
      Date Posted: 7/1/2017 12:00:00 AM This study is developed from the application software, called “Eyetalk” which supports communication for handicapped people studied by Torii laboratory, Aichi Institute of Technology and modified it to be used by the physically handicapped people with involuntary movement (Abnormal movement of the body that occurs independently of the consciousness). Then, the line-of-sight for the detection of the eye movement direction is developed for the communication to determine whether the user is looking left or right, which is based on the computation of the center of gravity with pixel number in the eye image. Further, a newly proposed blink detection method using afterimage is applied to the developed system. This study will be extended to the application that everyone can use easily and quickly to express his/her thoughts and requests.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Jul 2017 00:00:00 GMT
       
  • The Library Big Data Research: Status and Directions
    • Authors: IGI Global
      Abstract:
      Authors : Shaochun Xu (Department of Computer Science, Algoma University, Sault Ste Marie, Canada), Wencai Du (Hainan University, Hainan, China & City University of Macao, Macao, China), Chunning Wang (National Geological Library of China, Beijing, China), Dapeng Liu (Gradient X, Santa Monica, CA, USA)
      Volume/Issue: 5/3

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017070106
      Date Posted: 7/1/2017 12:00:00 AM Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Jul 2017 00:00:00 GMT
       
  • Scaling Up Software Birthmarks Using Fuzzy Hashing
    • Authors: IGI Global
      Abstract:
      Authors : Takehiro Tsuzaki (Graduate School of Kyoto Sangyo University, Kyoto, Japan), Teruaki Yamamoto (Kyoto Sangyo University, Kyoto, Japan), Haruaki Tamada (Kyoto Sangyo University, Kyoto, Japan), Akito Monden (Okayama University, Okayama, Japan)
      Volume/Issue: 5/3

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017070107
      Date Posted: 7/1/2017 12:00:00 AM To detect the software theft, software birthmarks have been proposed. Software birthmark systems extract software birthmarks, which are native characteristics of software, from binary programs, and compare them by computing the similarity between birthmarks. This paper proposes a new procedure for scaling up the birthmark systems. While conventional birthmark systems are composed of the birthmark extraction phase and the birthmark comparison phase, the proposed method adds two new phases between extraction and comparison, namely, compression phase, which employs fuzzy hashing, and pre-comparison phase, which aims to increase distinction property of birthmarks. The proposed method enables us to reduce the required time in the comparison phase, so that it can be applied to detect software theft among many larger scale software products. From an experimental evaluation, the authors found that the proposed method significantly reduces the comparison time, and keeps the distinction performance, which is one of the important properties of the birthmark. Also, the preservation performance is acceptable when the threshold value is properly set.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Jul 2017 00:00:00 GMT
       
  • Probabilistic Background Model by Density Forests for Tracking
    • Authors: IGI Global
      Abstract:
      Authors : Daimu Oiwa (Department of Computer Science, Chubu University, Kasugai, Japan), Shinji Fukui (Department of Computer Science, Aichi University of Education, Kariya, Japan), Yuji Iwahori (Department of Computer Science, Chubu University, Kasugai, Japan), Tsuyoshi Nakamura (Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan), Boonserm Kijsirikul (Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand), M. K. Bhuyan (Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India)
      Volume/Issue: 5/2

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017040101
      Date Posted: 4/1/2017 12:00:00 AM This paper proposes an approach for a robust tracking method to the objects intersection with appearances similar to a target object. The target is image sequences taken by a moving camera in this paper. Tracking methods using color information tend to track mistakenly a background region or an object with color similar to the target object since the proposed method is based on the particle filter. The method constructs the probabilistic background model by the histogram of the optical flow and defines the likelihood function so that the likelihood in the region of the target object may become large. This leads to increasing the accuracy of tracking. The probabilistic background model is made by the density forests. It can infer a probabilistic density fast. The proposed method can process faster than the authors' previous approach by introducing the density forests. Results are demonstrated by experiments using the real videos of outdoor scenes.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Apr 2017 00:00:00 GMT
       
  • Parallel Online Exact Summation of Floating-point Numbers by Applying
           MapReduce of Java8
    • Authors: IGI Global
      Abstract:
      Authors : Naoshi Sakamoto (Tokyo Denki University, Tokyo, Japan)
      Volume/Issue: 5/2

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017040102
      Date Posted: 4/1/2017 12:00:00 AM Java8 introduced the notion of streams that is a new data structure and supports multi-core processors. When the sum method is called for a stream of floating-point numbers, the summation is calculated at high-speed by applying MapReduce, which distributes computations to cores. However, since floating-point calculation causes an error, simple adaptation of this method cannot determine the result uniquely. Then, in this study, the authors develop a summation program that can be applied to a stream with MapReduce. Their method can calculate at high-speed with keeping correctly rounded.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Apr 2017 00:00:00 GMT
       
  • Recovering Polyp Shape from an Endoscope Image Using Two Light Sources
    • Authors: IGI Global
      Abstract:
      Authors : Hiroyasu Usami (Department of Computer Science, Chubu University, Kasugai, Japan), Yuji Iwahori (Department of Computer Science, Chubu University, Kasugai, Japan), Yuki Hanai (Department of Computer Science, Chubu University, Kasugai, Japan), Boonserm Kijsirikul (Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand), Kunio Kasugai (Department of Gastroenterology, Aichi Medical University, Nagakute, Japan)
      Volume/Issue: 5/2

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017040103
      Date Posted: 4/1/2017 12:00:00 AM This paper proposes a new approach to recover the polyp shape from an endoscope image using a photometric constraint equation considering two light sources. The procedures are as follows. First, obtain the initial depth distributions by optimizing photometric equation obtained from two light sources. Next, obtain the surface normal vector from depth using numerical difference at each point. Then the mapping between the obtained normal vector and true normal vector is learned using Radial Basis Function Neural Network for a Lambertian sphere, and learning is generalized to another actual polyp image. Finally, optimize the depth using the obtained surface normal to recover the final 3D shape. The validity is confirmed of this method in comparison with the previous methods via computer simulation and experiments using actual endoscope images.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Apr 2017 00:00:00 GMT
       
  • Collective Relocation for Associative Distributed Collections of Objects
    • Authors: IGI Global
      Abstract:
      Authors : Daisuke Fujishima (Graduate School of System Informatics, Kobe University, Kobe, Japan), Tomio Kamada (Advanced Institute for Computational Science, RIKEN, Wako, Japan)
      Volume/Issue: 5/2

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017040104
      Date Posted: 4/1/2017 12:00:00 AM The field of parallel computing has experienced an increase in the number of computing nodes, allowing broader applications, including computations that have irregular features. Some parallel programming languages handle object data structures and offer marshaling/unmarshaling mechanisms to transpose them. To manage data elements across computing nodes, some research on distributed collections has been conducted. This study proposes a distributed collection library that can handle multiple collections of object elements and change their distributions while maintaining associativity between their elements. This library is implemented on an object-oriented parallel programming language, X10. The authors assume pairs of associative collections such as vehicles and streets in a traffic simulation. When many vehicles are concentrated on streets assigned to certain computing nodes, some of these streets should be moved to other nodes. The authors' library assists the programmer in easily distributing the associative collections over the computing nodes and collectively relocating elements while maintaining the data sharing relationship among associative elements. The programmer can describe the associativity between objects by using both declarative and procedural methods. They show a preliminary performance evaluation of their library on a Linux cluster and the K computer.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Apr 2017 00:00:00 GMT
       
  • Automatic Recognition of Traffic Signs with 3D Distance Estimation for
           Intelligent Vehicles
    • Authors: IGI Global
      Abstract:
      Authors : Nadra Ben Romdhane (MIRACL, University of Sfax, Sfax, Tunisia), Hazar Mliki (MIRACL, University of Sfax, Sfax, Tunisia), Mohamed Hammami (MIRACL, University of Sfax, Sfax, Tunisia)
      Volume/Issue: 5/2

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017040105
      Date Posted: 4/1/2017 12:00:00 AM Traffic sign recognition (TSR) systems within the Advanced Driving Assistance Systems (ADAS) has attract many researchers as it plays a vital role to ensure road and transportation safety. In this paper, the authors introduce a new method for the automatic recognition and distance estimation of traffic signs using hybrid 2D-3D approach. The proposed method performs on two steps: Traffic signs recognition and distance estimation. The traffic signs recognition step aims to detect, classify and track traffic signs. Regarding the distance estimation step, it seeks to compute the depth distance of the traffic sign so as to estimate the distance between the recognized traffic sign and the vehicle carrying the camera. Many series of experiments were carried out on GTSBD and KITTI Stereo 2015 databases to evaluate the performance of the authors' method. The obtained results have shown that the proposed method achieves good performance in challenging scenarios.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sat, 01 Apr 2017 00:00:00 GMT
       
  • OpenMP-Based Approach for High Level C Loops Synthesis
    • Authors: IGI Global
      Abstract:
      Authors : Emna Kallel (CES Laboratory, ENIS School, University of Sfax, Sfax, Tunisia), Yassine Aoudni (CES Laboratory, ENIS School, University of Sfax, Sfax, Tunisia), Mohamed Abid (CES Laboratory, ENIS School, University of Sfax, Sfax, Tunisia)
      Volume/Issue: 5/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017010101
      Date Posted: 1/1/2017 12:00:00 AM The complexity of embedded systems design is continuously augmented, due to the increasing quantity of components and distinct functionalities incorporated into a single system. To deal with this situation, abstraction level of projects is incessantly raised. In addition, techniques to accelerate the code production process have appeared. In this context, the automatic code generation is an interesting technique for the embedded systems project. This work presents an automatic VHDL code generation method based on the OpenMP parallel programming specification. In order to synthesize C code for loops into hardware, the authors applied the directives of OpenMP, which specifies portable implementations of shared memory parallel programs. A case study focused on the use of embedded systems for the DCT algorithm is presented in this paper to demonstrate the feasibility of the proposed approach.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Jan 2017 00:00:00 GMT
       
  • Gaits Classification of Normal vs. Patients by Wireless Gait Sensor and
           Support Vector Machine (SVM) Classifier
    • Authors: IGI Global
      Abstract:
      Authors : Taro Nakano (Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA & Department of Electrical & Electronic Engineering, Tokushima University, Tokushima, Japan), B.T. Nukala (Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA), J. Tsay (Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA), Steven Zupancic (Texas Tech University Health Sciences Center (TTUHSC), Lubbock, TX, USA), Amanda Rodriguez (Texas Tech University Health Sciences Center (TTUHSC), Lubbock, TX, USA), D.Y.C. Lie (Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA & Texas Tech University Health Sciences Center (TTUHSC), Lubbock, TX, USA), J. Lopez (Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA), Tam Q. Nguyen (Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA & Texas Tech University Health Sciences Center (TTUHSC), Lubbock, TX, USA)
      Volume/Issue: 5/1

      ISSN : 2166-7160
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      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017010102
      Date Posted: 1/1/2017 12:00:00 AM Due to the serious concerns of fall risks for patients with balance disorders, it is desirable to be able to objectively identify these patients in real-time dynamic gait testing using inexpensive wearable sensors. In this work, the authors took a total of 49 gait tests from 7 human subjects (3 normal subjects and 4 patients), where each person performed 7 Dynamic Gait Index (DGI) tests by wearing a wireless gait sensor on the T4 thoracic vertebra. The raw gait data is wirelessly transmitted to a near-by PC for real-time gait data collection. To objectively identify the patients from the gait data, the authors used 4 different types of Support Vector Machine (SVM) classifiers based on the 6 features extracted from the raw gait data: Linear SVM, Quadratic SVM, Cubic SVM, and Gaussian SVM. The Linear SVM, Quadratic SVM and Cubic SVM all achieved impressive 98% classification accuracy, with 95.2% sensitivity and 100% specificity in this work. However, the Gaussian SVM classifier only achieved 87.8% accuracy, 71.7% sensitivity, and 100% specificity. The results obtained with this small number of human subjects indicates that in the near future, the authors should be able to objectively identify balance-disorder patients from normal subjects during real-time dynamic gaits testing using intelligent SVM classifiers.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Jan 2017 00:00:00 GMT
       
  • VirtualCareGiver: Personalized Smart Elderly Care
    • Authors: IGI Global
      Abstract:
      Authors : Seiki Tokunaga (Graduate School of System Informatics, Kobe University, Kobe, Japan), Kazunari Tamamizu (Graduate School of System Informatics, Kobe University, Kobe, Japan), Sachio Saiki (Graduate School of System Informatics, Kobe University, Kobe, Japan), Masahide Nakamura (Graduate School of System Informatics, Kobe University, Kobe, Japan), Kiyoshi Yasuda (Chiba Rosai Hospital, Ichihara, Japan)
      Volume/Issue: 5/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017010103
      Date Posted: 1/1/2017 12:00:00 AM Many care robots have received a lot of attention to help elderly people, however existing care robots have difficult to adapt personalization. For instance, some programmers have to customize robot program to meet needs of individual. In this paper, the authors' goal is design and develop care robot which provides personalization for an individual elderly people with an efficient and reasonable way. Their proposed service consists of three essential components; VirtualCareGiver (VCG), VirtualCarePersonalizer (VCP) and CareTemplate. VCG is a robot agent, which provides a personalization and integration for each elderly people. The VCG is offered care tasks based on care template which VCP generates. VCP provides adaptation for individual elderly on the cloud. The authors also conduct an experimental evaluation to demonstrate the feasibility with actual 11 subjects in a day care center. As a result, both font size and voice volume are especially contributed for the subjects.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Jan 2017 00:00:00 GMT
       
  • How to Systematically Embed Cycles in Balanced Hypercubes
    • Authors: IGI Global
      Abstract:
      Authors : Hsuan-Han Chang (Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Taiwan), Kuan-Ting Chen (Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Taiwan), Pao-Lien Lai (Department of Computer Science and Information Engineering, National Dong Hwa University, Shoufeng, Taiwan)
      Volume/Issue: 5/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017010104
      Date Posted: 1/1/2017 12:00:00 AM The balanced hypercube is a variant of the hypercube structure and has desirable properties like connectivity, regularity, and symmetry. The cycle is a popular interconnection topology and has been widely used in distributed-memory parallel computers. Moreover, parallel algorithms of cycles have been extensively developed and used. The problem of how to embed cycles into a host graph has attracted a great attention in recent years. However, there is no systematic method proposed to generate the desired cycles in balanced hypercubes. In this paper, the authors develop systematic linear time algorithm to construct cycles and Hamiltonian cycles for the balanced hypercube.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Jan 2017 00:00:00 GMT
       
  • Head Pose Estimation and Motion Analysis of Public Speaking Videos
    • Authors: IGI Global
      Abstract:
      Authors : Rinko Komiya (Kyushu Institute of Technology, Iizuka, Japan), Takeshi Saitoh (Kyushu Institute of Technology, Iizuka, Japan), Miharu Fuyuno (Kyushu University, Fukuoka, Japan), Yuko Yamashita (Shibaura Institute of Technology, Tokyo, Japan), Yoshitaka Nakajima (Kyushu University, Fukuoka, Japan)
      Volume/Issue: 5/1

      ISSN : 2166-7160
      E
      ISSN : 2166-7179

      DOI : 10.4018/IJSI.2017010105
      Date Posted: 1/1/2017 12:00:00 AM Public speaking is an essential skill in a large variety of professions and also in everyday life. However, it can be difficult to master. This paper focuses on the automatic assessment of nonverbal facial behavior during public speaking and proposes simple and efficient methods of head pose estimation and motion analysis. The authors collected nine and six speech videos from a recitation and oration contest, respectively, conducted at a Japanese high school and applied the proposed method to evaluate the contestants' performance. For the estimation of head pose from speech videos, their method produced results with an acceptable level of accuracy. The proposed motion analysis method can be used for calculating frequencies and moving ranges of head motion. The authors found that the proposed parameters and the eye-contact score are strongly correlated and that the proposed frequency and moving range parameters are suitable for evaluating public speaking. Thus, on the basis of these features, a teacher can provide accurate feedback to help a speaker improve.This article is available on IGI Global’s premier research database, InfoSci-Journals. To obtain a copy of this article, click here. For more information about the International Journal of Software Innovation (IJSI) click here.
      PubDate: Sun, 01 Jan 2017 00:00:00 GMT
       
 
 
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