論文

査読有り
2017年

Lab-forming fields and field-forming labs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Takeshi Kurata
  • ,
  • Ryosuke Ichikari
  • ,
  • Ching-Tzun Chang
  • ,
  • Masakatsu Kourogi
  • ,
  • Masaki Onishi
  • ,
  • Takashi Okuma

10371
開始ページ
144
終了ページ
149
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-319-61240-9_14
出版者・発行元
Springer Verlag

This paper presents the concept of Lab-Forming Fields (LFF) and Field-Forming Labs (FFL). LFF is to transform real service fields into lab-like places for bringing research methodologies in laboratories to real fields with IoT. FFL is to transform laboratories into real-field-like places for getting subjects’ behavior and experimental results closer and closer to the ones which are supposed to be obtained in the real service fields with VR. In addition, this paper provides a summary table of previously conducted researches in AIST on LFF and FFL with geospatial computing.

リンク情報
DOI
https://doi.org/10.1007/978-3-319-61240-9_14
DBLP
https://dblp.uni-trier.de/rec/conf/icserv/KurataICKOO17
URL
http://dblp.uni-trier.de/db/conf/icserv/icserv2017.html#conf/icserv/KurataICKOO17
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85025150049&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85025150049&origin=inward
ID情報
  • DOI : 10.1007/978-3-319-61240-9_14
  • ISSN : 1611-3349
  • ISSN : 0302-9743
  • eISSN : 1611-3349
  • DBLP ID : conf/icserv/KurataICKOO17
  • SCOPUS ID : 85025150049

エクスポート
BibTeX RIS