Study on accessibility of urgent message transmission service in a disaster

Shunichi Yonemura, Kazuo Kamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, the layer model of urgent message transmission service is proposed and the semantic level channels of communication inescapable when considering the accessibility of an urgent message are discussed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages446-450
Number of pages5
Volume6772 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventHuman Interface and the Management of Information: Interacting with Information - Symposium on Human Interface 2011, Held as Part of HCI International 2011 - Orlando, FL
Duration: 2011 Jul 92011 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6772 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherHuman Interface and the Management of Information: Interacting with Information - Symposium on Human Interface 2011, Held as Part of HCI International 2011
CityOrlando, FL
Period11/7/911/7/14

Fingerprint

Disasters
Semantics
Communication

Keywords

  • accessibility
  • sign language
  • urgent message

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yonemura, S., & Kamata, K. (2011). Study on accessibility of urgent message transmission service in a disaster. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6772 LNCS, pp. 446-450). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6772 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-21669-5_53

Study on accessibility of urgent message transmission service in a disaster. / Yonemura, Shunichi; Kamata, Kazuo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6772 LNCS PART 2. ed. 2011. p. 446-450 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6772 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yonemura, S & Kamata, K 2011, Study on accessibility of urgent message transmission service in a disaster. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6772 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6772 LNCS, pp. 446-450, Human Interface and the Management of Information: Interacting with Information - Symposium on Human Interface 2011, Held as Part of HCI International 2011, Orlando, FL, 11/7/9. https://doi.org/10.1007/978-3-642-21669-5_53
Yonemura S, Kamata K. Study on accessibility of urgent message transmission service in a disaster. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6772 LNCS. 2011. p. 446-450. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-21669-5_53
Yonemura, Shunichi ; Kamata, Kazuo. / Study on accessibility of urgent message transmission service in a disaster. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6772 LNCS PART 2. ed. 2011. pp. 446-450 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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