Swarm Intelligence and Snake Model For Automatic Sunspot Tracking

José Manuel Matos Ribeiro da Fonseca; Maria Rita Sarmento de Almeida Ribeiro; DEE Group Author

Swarm Intelligence and Snake Model For Automatic Sunspot Tracking

José Manuel Matos Ribeiro da Fonseca, Maria Rita Sarmento de Almeida Ribeiro, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we discuss the suitability and versatility ofa computer aided approach for identification andautomatic tracking of sunspots with the aim to studysolar evolution of sunspots and contribute to advancesin models for predicting Space Weather and itsinfluence on Earth.Our work crosses the discipline boundaries of AI andSolar Physics by proposing an automatic sunspottracking system based on a combined evolutionarySwarm Intelligence algorithm and Snake model. Anillustrative example of tracking one sunspot evolution ispresented to clarify the potential of the proposedapproach.

Original language	Unknown
Title of host publication	AI in Space: Intelligence beyond planet Earth
Pages	6p.
Publication status	Published - 1 Jan 2011
Event	AI in Space: Intelligence beyond planet Earth Workshop - Duration: 1 Jan 2011 → …

Conference

Conference	AI in Space: Intelligence beyond planet Earth Workshop
Period	1/01/11 → …

Cite this

@inproceedings{063a9e8cd3fb4255928e602b9eda9d8f,

title = "Swarm Intelligence and Snake Model For Automatic Sunspot Tracking",

abstract = "In this paper we discuss the suitability and versatility ofa computer aided approach for identification andautomatic tracking of sunspots with the aim to studysolar evolution of sunspots and contribute to advancesin models for predicting Space Weather and itsinfluence on Earth.Our work crosses the discipline boundaries of AI andSolar Physics by proposing an automatic sunspottracking system based on a combined evolutionarySwarm Intelligence algorithm and Snake model. Anillustrative example of tracking one sunspot evolution ispresented to clarify the potential of the proposedapproach.",

author = "Fonseca, {Jos{\'e} Manuel Matos Ribeiro da} and Ribeiro, {Maria Rita Sarmento de Almeida} and {DEE Group Author}",

year = "2011",

month = jan,

day = "1",

language = "Unknown",

pages = "6p.",

booktitle = "AI in Space: Intelligence beyond planet Earth",

note = "AI in Space: Intelligence beyond planet Earth Workshop ; Conference date: 01-01-2011",

}

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AU - Fonseca, José Manuel Matos Ribeiro da

AU - Ribeiro, Maria Rita Sarmento de Almeida

AU - DEE Group Author

PY - 2011/1/1

Y1 - 2011/1/1

N2 - In this paper we discuss the suitability and versatility ofa computer aided approach for identification andautomatic tracking of sunspots with the aim to studysolar evolution of sunspots and contribute to advancesin models for predicting Space Weather and itsinfluence on Earth.Our work crosses the discipline boundaries of AI andSolar Physics by proposing an automatic sunspottracking system based on a combined evolutionarySwarm Intelligence algorithm and Snake model. Anillustrative example of tracking one sunspot evolution ispresented to clarify the potential of the proposedapproach.

AB - In this paper we discuss the suitability and versatility ofa computer aided approach for identification andautomatic tracking of sunspots with the aim to studysolar evolution of sunspots and contribute to advancesin models for predicting Space Weather and itsinfluence on Earth.Our work crosses the discipline boundaries of AI andSolar Physics by proposing an automatic sunspottracking system based on a combined evolutionarySwarm Intelligence algorithm and Snake model. Anillustrative example of tracking one sunspot evolution ispresented to clarify the potential of the proposedapproach.

M3 - Conference contribution

SP - 6p.

BT - AI in Space: Intelligence beyond planet Earth

T2 - AI in Space: Intelligence beyond planet Earth Workshop

Y2 - 1 January 2011

ER -