A self-managing infrastructure for ad-hoc situation determination

G. Thomson, G. Stevenson, S. Terzis, P. Nixon, C. Nugent (Editor), J. Augusto (Editor)

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. The architecture of an accompanying situation determination infrastructure is provided, which autonomously optimises and repairs itself in reaction to changes or failures in the environment.
LanguageEnglish
Title of host publicationSmart Homes and Beyond - ICOST2006 4th International Conference On Smart homes and health Telematics
Pages157-164
Number of pages7
Publication statusPublished - 2006

Publication series

NameAssistive Technology Research Series
PublisherIOS Press

Fingerprint

Ubiquitous computing
Learning systems
Repair
Specifications
Sensors

Keywords

  • situation-awareness
  • pervasive computing
  • agent-based systems

Cite this

Thomson, G., Stevenson, G., Terzis, S., Nixon, P., Nugent, C. (Ed.), & Augusto, J. (Ed.) (2006). A self-managing infrastructure for ad-hoc situation determination. In Smart Homes and Beyond - ICOST2006 4th International Conference On Smart homes and health Telematics (pp. 157-164). (Assistive Technology Research Series).
Thomson, G. ; Stevenson, G. ; Terzis, S. ; Nixon, P. ; Nugent, C. (Editor) ; Augusto, J. (Editor). / A self-managing infrastructure for ad-hoc situation determination. Smart Homes and Beyond - ICOST2006 4th International Conference On Smart homes and health Telematics. 2006. pp. 157-164 (Assistive Technology Research Series).
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Thomson, G, Stevenson, G, Terzis, S, Nixon, P, Nugent, C (ed.) & Augusto, J (ed.) 2006, A self-managing infrastructure for ad-hoc situation determination. in Smart Homes and Beyond - ICOST2006 4th International Conference On Smart homes and health Telematics. Assistive Technology Research Series, pp. 157-164.

A self-managing infrastructure for ad-hoc situation determination. / Thomson, G.; Stevenson, G.; Terzis, S.; Nixon, P.; Nugent, C. (Editor); Augusto, J. (Editor).

Smart Homes and Beyond - ICOST2006 4th International Conference On Smart homes and health Telematics. 2006. p. 157-164 (Assistive Technology Research Series).

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - A self-managing infrastructure for ad-hoc situation determination

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AU - Stevenson, G.

AU - Terzis, S.

AU - Nixon, P.

A2 - Nugent, C.

A2 - Augusto, J.

PY - 2006

Y1 - 2006

N2 - Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. The architecture of an accompanying situation determination infrastructure is provided, which autonomously optimises and repairs itself in reaction to changes or failures in the environment.

AB - Automatically determining the situation of an ad-hoc group of people and devices within a smart environment is a significant challenge in pervasive computing systems. Current approaches often rely on an environment expert to correlate the situations that occur with the available sensor data, while other machine learning based approaches require long training periods before the system can be used. This paper presents a novel approach to situation determination that attempts to overcome these issues by providing a reusable library of general situation specifications that can be easily extended to create new specific situations, and immediately deployed without the need of an environment expert. The architecture of an accompanying situation determination infrastructure is provided, which autonomously optimises and repairs itself in reaction to changes or failures in the environment.

KW - situation-awareness

KW - pervasive computing

KW - agent-based systems

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BT - Smart Homes and Beyond - ICOST2006 4th International Conference On Smart homes and health Telematics

ER -

Thomson G, Stevenson G, Terzis S, Nixon P, Nugent C, (ed.), Augusto J, (ed.). A self-managing infrastructure for ad-hoc situation determination. In Smart Homes and Beyond - ICOST2006 4th International Conference On Smart homes and health Telematics. 2006. p. 157-164. (Assistive Technology Research Series).