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Efficient Algorithms for the Planning of Some Intelligent Vehicles Used for the Detection and Extinction of FireValeriu LUPU |
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Author keywords
fire, extinction, intelligent machines, computer vision, parallel programming
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About this article
Date of Publication: 2005-04-02
Volume 5, Issue 1, Year 2005, On page(s): 75 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
Abstract
This article presents efficient algorithms for the planning of some vehicles that have the mission to detect and extinct a fire. The machines work in a varied land, with hills and valleys, with holes, cliffs, mined land and with other obstacles they may run into their way (this obstacles are from the beginning in the studied land or they can appear instantly), and whom the machine must avoid. The machines can depart all at the same moment or they can leave one at a moment. The machines can meet each other on their way but they must avoid the collisions by communicating with the server. The machines are equipped with complex sensorial systems like video cameras, transducers, proximity sensors (thermics, smoke, gases, etc.), and neuro-fuzzy logic. There are used rapid sequential algorithms of the Strassen and Winograd for the matrices multiplication (using parallel calculus) and the Dijkstras algorithm to compute the optimum way between two points using parallel programming. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
