Implementing and Comparison between Two Algorithms to Make a Decision in a Wireless Sensors Network
The clinical presentation of acute CO poisoning and hydrocarbon gas (Butane CAS 106-97-8) varies depending on terrain, humidity, temperature, duration of exposure and the concentration of gas toxic: From then consciousness disorders (100 ppm or 15%) rapidly limiting miners to ambient air and under o...
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Veröffentlicht in: | International journal of advanced computer science & applications 2016-01, Vol.7 (8) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The clinical presentation of acute CO poisoning and hydrocarbon gas (Butane CAS 106-97-8) varies depending on terrain, humidity, temperature, duration of exposure and the concentration of gas toxic: From then consciousness disorders (100 ppm or 15%) rapidly limiting miners to ambient air and under oxygen until sudden coma (300 ppm or 45%) required hospitalization monitoring unit, if not the result in few minutes it’s death in the poisoning site [1]. Leakage of the filling butane gas in the plant and very close to the latter position at the Faculty and under gas detection project. Has met a set of sensors to warn of possible leak, which can affect students, teachers and staff of the institution. Therefore, this document describes the implementation of two methods: the first is Average filter and the second as Cusum algorithm, to make a warning decision swished a signal given by the wireless sensors [9] [14-15]. Which installed in the inner side of Faculty of Science and Technology in Errachidia. |
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ISSN: | 2158-107X 2156-5570 |
DOI: | 10.14569/IJACSA.2016.070812 |