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General Information
    • ISSN: 2010-3751 (Print)
    • Frequency: Semi-annual
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Pascal Lorenz
    • Executive Editor: Ms. Fanny Fang
    • Abstracting/ Indexing: Crossref, Electronic Journals Library, Google Scholar, EBSCO, etc.
    • E-mail:  editor@ijfcc.org
    • Article Processing Charge: 500 USD
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the Editor-in-Chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2014 Vol.3(5): 358-362
doi: 10.7763/IJFCC.2014.V3.327

Monitoring of Green Technology Using GTNet Membership and Published Information in Korea

Dae-Hyun Jeong , Young-Il Kwon , Dohyun Kim

  • Korea Institute of Science and Technology Information, Korea.

Abstract

Green technology refers to an optimal technology that saves energy/ resources overall, and minimizes greenhouse gas/waste output such as greenhouse gas output reduction technology, efficient energy usage technology clean production technology, clean energy technology, resource circulation, and eco-friendly technology. GTNet is a website that provides information about the green technologies to the world non-stop and it is operated under a membership system. GTNet members can select their fields of interest and the provided green technology information are categorized by its field of green technology and labeled by its unique code. We used the membership and published information on GTNet to perform a cluster analysis amongst green technologies and discovered which fields of green technology share a lot of similarity. Also, we have performed a cross analysis on the relationship between high subscribed technological fields and their investment strategies as well. As a result, we have discovered that there are 5 major CNM clusters in green technology and members expressed interest in different clusters based on their affiliations.

Keywords

  • GTNet
  • CNM cluster
  • cross analysis
  • green technology
327-CT008

How to Cite

Copied

Dae-Hyun Jeong, Young-Il Kwon, and Dohyun Kim, "Monitoring of Green Technology Using GTNet Membership and Published Information in Korea," International Journal of Future Computer and Communication, vol. 3, no. 5, pp. 358-362, 2014. https://doi.org/ 10.7763/IJFCC.2014.V3.327

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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