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[IWBDC2016]
The First International Workshop on Big Data and IoT Convergence
Important Dates
Important Dates
Paper due: May 31, 2016
Author Notification: June 3, 2016
Camera-ready due: June 6, 2016
Registration due: June 6, 2016
Workshop Date: July 5, 2016
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General Information
Big data & IoT convergence technology has recently emerged as the next frontier for innovation, competition, and productivity of many
fields including science, engineering, industries, society, and public sectors. Big data is a collection of huge data sets that is difficult to process using
traditional computing database technologies. IoT will be the biggest source of big data in the future. Big data technology includes capturing,
curation, storage, search, sharing, transfer, analysis and visualization of big data and becomes the core platform for intelligent management of the IoT services.
This workshop focuses on recent developments and applications of big data and IoT services in various application domains.
Technical Topics
Workshop focus on topics related to the development and applications of big data and IoT convergence, which include, but are not limited to, the following:
 Big Data Platform or Infrastructure
- Cloud computing techniques
- Big data as a service
- Big data platforms
- Big data in mobile or pervasive computing environments. - Big Data Management and Analysis
- Hive and R analysis for big data
- Data Mining for Big Data
- Visualization for big data analysis
- Big data analytics and social media
- Big Data Governance
- Big data quality, big data privacy
- Big data life cycle management
- Organization and systems for big data
- Big Data for Industries, Society, and Government
- Big data for business innovation, competition, and productivity
- Big data for vertical industries (healthcare and medicine, bioinformatics, finance, business,
law, education, transportation, telecommunication, science, engineering, ecosystem, etc.)
- Big data in government or public sectors
- SNS analysis for society
- Applications of Big Data and IoT convergence
- Big data Processing for IoT applications
- Smart manufacturing and logistics with IoT and big data
- Smart healthcare with IoT and big data
- Internet of Things applications
- Big Data and IoT standardization
- Interoperability of big data and IoT systems
- Demonstration and Field Applications of Big Data
All papers must be submitted electronically, in PDF format, and uploaded on EDAS. The direct link for paper submission is
http://edas.info/N21996.
There are two options for the submissions, either a full paper or a short paper. We decided to allow the submission of short papers in order to
accommodate the most recent research outcomes. The submissions should be formatted with single-spaced, double-column pages using at least 10 pt
(or higher) size fonts on A4 or letter pages in IEEE style format. The maximum number of pages is 6 for full papers and 2 for short papers.
Detailed formatting and submission instructions will be available on the conference web site
(http://www.icufn.org).
Submitted papers will be reviewed by the workshop Program Committee and judged on originality, technical correctness, relevance, and quality of
presentation. All accepted papers will appear in the IEEE Xplore Digital library and will be indexed by SCOPUS and EI Compendex only if at least one
of the authors registers at the full registration rate and attends to present the paper. Also, extended versions of selected papers will be published in the
following international journals (SCIE-indexed) as a special section for the ICUFN 2016.
- Wireless Personal Communications (SCIE)
- International Journal of Distributed Sensor Networks (SCIE)
- Journal of Internet Technology (SCIE)
- INFORMATION Journal (Scopus)
Program Committee
- Wan-Sup Cho, Chungbuk National University, Korea (Chair)
Yong-Ik Yoon, Sookmyung Women's University, Korea (Vice Chair)
SeonPhil Jeong, BNU-HKBU United International College, China
YoungJoon Byun, California State University, USA
Sang-Wook Kim, Hanyang University, Korea
Wookey Lee, Inha University, Korea
Young-Ho Park, Sookmyung Women's University, Korea
Kwan-Hee Yoo, Chungbuk National University, Korea
Sang-Hyun Choi, Chungbuk National University, Korea
Su-Young Chi, Electronics and Telecommunications Research Institute, Korea
Yoo-Sung Kim, Inha University, Korea
Young-Sang Lee, Datastreams Corp., Korea
Keun-Hyung Kim, Jeju National University, Korea
Yang-Sae Moon, Kangwon National University, Korea
Yun Jang, Sejong University, Korea
Jae- Gil Lee, KAIST, Korea
Aziz Nasridinov, Chungbuk National University, Korea
Ji Dae Kim, Chungbuk National University, Korea
Woong-Kee Loh, Gachon University, Korea
Young-Chan Kim, Hanbat National University, Korea
Yong-Seok Seo, Chungbuk National University, Korea
Contact
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