Presentation 2015-03-06
Management of information resources using the Swarm Intelligence expressing the attraction and repulsion by similarity Guide to the Technical Report and Template
Katsunori ISHIDA, Shun KOIZUMI, Sumiko MIYATA, Tetsuya MORIZUMI, Hirotsugu KINOSHITA,
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Abstract(in English) In recently, the amount of information resources and files has increased by personal information terminal as a smart phone and a large computer as the Cloud Computing and the Big Data. Moreover, their management is ever complicated. Today, treat the multiple attributes because the tree structure has only an attribute. Moreover, it is difficult for us to visually understand. Therefore, the management by directory structure is not suitable to manage enormous information. In this papar, we propose the file management system which enable to manage the multiple attributes. This propose system is realized by using a Swarm Intelligence. Moreover, we show the effectiveness of our method by using simulation.
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Keyword(in English) Big Data / Cloud Computing / Swarm Intelligence / boid
Paper # SITE2014-80,IA2014-112
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Committee IA
Conference Date 2015/2/26(1days)
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Registration To Internet Architecture(IA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Management of information resources using the Swarm Intelligence expressing the attraction and repulsion by similarity Guide to the Technical Report and Template
Sub Title (in English)
Keyword(1) Big Data
Keyword(2) Cloud Computing
Keyword(3) Swarm Intelligence
Keyword(4) boid
1st Author's Name Katsunori ISHIDA
1st Author's Affiliation Faculty of Engineering, Kanagawa University()
2nd Author's Name Shun KOIZUMI
2nd Author's Affiliation /
3rd Author's Name Sumiko MIYATA
3rd Author's Affiliation TOYO COMMUNICATION EQUIPMENT CO., LTD. /
4th Author's Name Tetsuya MORIZUMI
4th Author's Affiliation
5th Author's Name Hirotsugu KINOSHITA
5th Author's Affiliation
Date 2015-03-06
Paper # SITE2014-80,IA2014-112
Volume (vol) vol.114
Number (no) 495
Page pp.pp.-
#Pages 6
Date of Issue