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Authors: Nuno Seca and Fernando Moreira

Affiliation: Universidade Portucalense, Portugal

Keyword(s): Telemenagement, Efficient Management of Public Lighting, PLC, ZigBee, Artificial Intelligence.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Information Systems Analysis and Specification ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering ; Theory and Methods

Abstract: Efficiency of public lighting management is getting relevant. Due to costs reduction “obligation” some entities have been falling in the temptation of power off street lighting. Once that this procedure puts in risk people and goods’ security and considering that there are many lighting flux reduction solutions on the market it will be proposed a new approach. It was developed a prototype to allow managing of public lighting in an integrated way and based on Artificial Intelligence. Major goal is to achieve a higher level in which operational simplification can be made with significant cost reduction and operative optimization. Besides that, proposed approach, recurring to information systems’ supported on neural networks and functional layers can be used on this particular domain contributing to benefit public lighting systems in a remarkable way concerning profitability return of investment and operationality.

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Paper citation in several formats:
Seca, N. and Moreira, F. (2013). IT applied to Public Lighting Management - How IT Can Improve Public Lighting Management?. In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-8565-59-4; ISSN 2184-4992, SciTePress, pages 513-518. DOI: 10.5220/0004554205130518

@conference{iceis13,
author={Nuno Seca. and Fernando Moreira.},
title={IT applied to Public Lighting Management - How IT Can Improve Public Lighting Management?},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2013},
pages={513-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004554205130518},
isbn={978-989-8565-59-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - IT applied to Public Lighting Management - How IT Can Improve Public Lighting Management?
SN - 978-989-8565-59-4
IS - 2184-4992
AU - Seca, N.
AU - Moreira, F.
PY - 2013
SP - 513
EP - 518
DO - 10.5220/0004554205130518
PB - SciTePress