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Advances in Intelligent Networking and Collaborative Systems

The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017)

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Leonard Barolli

    1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

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    You can also search for this editor in PubMed   Google Scholar

  2. Isaac Woungang

    1. Department of Computer Science, Ryerson University, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

  3. Omar Khadeer Hussain

    1. School of Business, UNSW Australia, Canberra, Australia

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    You can also search for this editor in PubMed   Google Scholar

  • Covers the latest advances in intelligent social networks and collaborative systems that lead to competitive advantages in business and academic contexts
  • Includes the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada
  • Stimulates research that leads to the creation of responsive environments for networking and, in the longer-term, the development of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 8)

Included in the following conference series:

Conference proceedings info: INCoS 2017.

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Table of contents (54 papers)

  1. The 9th International Conference on International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017)

    1. An Efficient Scheduling Using Meta Heuristic Algorithms for Home Demand-side Management in Smart Grid

      • Adnan Ishaq, Nasir Ayub, Arje Saba, Asad Ghafar, Basit Amin, Nadeem Javaid
      Pages 214-227

    2. A New Two-Stage Algorithm for Constructing Group Multicast Tree with Bandwidth Constraint

      • Meng Sun, Xinchang Zhang, Jianwei Zhang
      Pages 228-240

    3. Research on the Connotation and Measurement of Uncertainty for Reassembly Dimensions Based on Entropy

      • Conghu Liu, Kang He
      Pages 241-249

    4. Multi-agent Collaborative Planning in Smart Environments

      • Flora Amato, Nicola Mazzocca, Francesco Moscato, Fatos Xhafa
      Pages 250-261

    5. Open Proctor: An Academic Integrity Tool for the Open Learning Environment

      • Alexander Amigud, Joan Arnedo-Moreno, Thanasis Daradoumis, Ana-Elena Guerrero-Roldan
      Pages 262-273

    6. k-core Decomposition on Giraph and GraphChi

      • Xin Hu, Fangming Liu, Venkatesh Srinivasan, Alex Thomo
      Pages 274-284

    7. A Bayesian Network for Improving Organizational Regulations Effectiveness: Concurrent Modeling of Organizational Resilience Engineering and Macro-Ergonomics Indicators

      • A. Azadeh, M. Partovi, M. Saberi, Elizabeth Chang, Omar Hussain
      Pages 285-295

    8. Behavioral Keys in Cryptography and Security Systems

      • Marek R. Ogiela, Lidia Ogiela
      Pages 296-300

    9. Enhancing Ant Brood Clustering with Adaptive Radius of Perception and Non-parametric Estimation on Multi-core Architectures

      • Mohmmed Qasem, Ying Ying Liu, Ziyue Wang, Parimala Thulasiraman, Ruppa K. Thulasiram
      Pages 301-312

    10. Designing an Efficient Self-adaptive Parallel Algorithm Using Math Oracles

      • Gabriel Luque, Enrique Alba
      Pages 313-325

    11. Wind Speed Prediction with Genetic Algorithm

      • Michal Prilepok
      Pages 326-335

    12. Evaluation of Pseudorandom Number Generators Based on Residue Arithmetic in Differential Evolution

      • Pavel Krömer, Jan PlatoÅ¡, Václav Snášel
      Pages 336-348

    13. Research and Realization of News Gathering and Editing System Based on Distributed Search Engine

      • Yamin Han, Kun Liu, Kun Ma
      Pages 349-354

    14. Evacuation Guidance Method by Using Augmented Reality and Digital Signage

      • Kazuyoshi Hikita, Hiroyoshi Miwa
      Pages 355-366

    15. Evaluation of How Methods for Creating People Flow Data Affect Performance of Epidemic Routing

      • Yusuke Sakai, Akihiro Fujihara
      Pages 367-379

    16. IBM Case Analysis by Servitization in IT Industry

      • Lukas Bickel, Natalia Kryvinska
      Pages 380-388

    17. Successful Social Network Integration in an Academic Institution: Case Study of Opportunities

      • Monika Dávideková, Michal GreguÅ¡ ml.
      Pages 389-400

  2. The 9th International Workshop on Information Network Design (WIND-2017)

    1. Front Matter

      Pages 401-401
      Download chapter PDF

    2. Method for Determining Recovery Order Against Intermittent Link Failures

      • Tsuyoshi Yamasaki, Hiroyoshi Miwa
      Pages 403-412

    3. Method for Finding Protected Links to Keep Robust Network Against Link Failure Considering Failure Probability

      • Keyaki Uji, Hiroyoshi Miwa
      Pages 413-422
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  1. Advances in Intelligent Networking and Collaborative Systems

Keywords

About this book

The aim of this book is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., and to reveal synergies among various paradigms in the multi-disciplinary field of intelligent collaborative systems. It presents the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada.

With the rapid evolution of the Internet, we are currently experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm that puts people at the very centre of networks and exploits the value of people’s connections, relations and collaborations. Social networks are also pla

ying a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems.

Virtual campuses, virtual communities and organizations effectively leverage intelligent networking and collaborative systems by tapping into a broad range of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and autonomously. In addition, the latest and powerful technologies based on Grid and wireless infrastructure as well as Cloud computing are now greatly enhancing collaborative and networking applications, but are also facing new issues and challenges. The principal objective of the research and development community is to stimulate research that leads to the creation of responsive environments for networking and, in the longer-term, the developmen

t of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning. 

Editors and Affiliations

  • Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  • Department of Computer Science, Ryerson University, Toronto, Canada

    Isaac Woungang

  • School of Business, UNSW Australia, Canberra, Australia

    Omar Khadeer Hussain

Bibliographic Information

  • Book Title: Advances in Intelligent Networking and Collaborative Systems

  • Book Subtitle: The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017)

  • Editors: Leonard Barolli, Isaac Woungang, Omar Khadeer Hussain

  • Series Title: Lecture Notes on Data Engineering and Communications Technologies

  • DOI: https://doi.org/10.1007/978-3-319-65636-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Softcover ISBN: 978-3-319-65635-9Published: 17 August 2017

  • eBook ISBN: 978-3-319-65636-6Published: 14 August 2017

  • Series ISSN: 2367-4512

  • Series E-ISSN: 2367-4520

  • Edition Number: 1

  • Number of Pages: XLII, 603

  • Number of Illustrations: 267 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Big Data

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