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Journal of Computing and Information Technology
Article . 2016 . Peer-reviewed
Data sources: Crossref
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https://doaj.org/article/14348...
Article . 2016
Data sources: DOAJ
https://dx.doi.org/10.25916/su...
Other literature type . 2024
License: CC BY ND
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https://dx.doi.org/10.25916/su...
Other literature type . 2024
License: CC BY ND
Data sources: Datacite
DBLP
Article . 2022
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Developing Agent-Oriented Video Surveillance System through Agent-Oriented Methodology (AOM)

Authors: Shiang, Cheah Wai; Onn, Bong Tien; Tee, Fu Swee; Bin Khairuddin, Muhammad Asyraf; Mahunnah, Msury;

Developing Agent-Oriented Video Surveillance System through Agent-Oriented Methodology (AOM)

Abstract

Agent-oriented methodology (AOM) is a comprehensive and unified agent methodology for agent-oriented software development. Although AOM is claimed to be able to cope with a complex system development, it is still not yet determined up to what extent this may be true. Therefore, it is vital to conduct an investigation to validate this methodology. This paper presents the adoption of AOM in developing an agent-oriented video surveillance system (VSS). An intruder handling scenario is designed and implemented through AOM. AOM provides an alternative method to engineer a distributed security system in a systematic manner. It presents the security system at a holistic view; provides a better conceptualization of agent-oriented security system and supports rapid prototyping as well as simulation of video surveillance system.

Countries
Australia, Croatia
Keywords

Electronic computers. Computer science, video surveillance, QA75.5-76.95, agent-oriented software engineering

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
Green
gold