Abstract: Detecting and tracking an incident is a complex task that requires high communication between involved parties and powerful broadcasting methods. The process of detecting and tracking an incident has been suffering from the lack of identifying the location of incident, type of incident, severity level, number of injuries if there are any. This Incident Detection and Tracking System (IDTS) eases the process of detecting and tracking incidents. It runs on two platforms: web server and mobile phone which eliminates lost or incorrect Incident reporting, increases accuracy of information, and improve user satisfaction. Governmental institutions can run IDTS on their servers to collect data on each incident occurrence. The incident data regarding fires, earthquake damages, accidents, floods, and water leaks come from users' mobile phone. These data can help government in detecting and tracking the location of the incident on the map and also get detailed information about incidents such as t

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-152
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Abstract: Two types of acoustic noise exist in the environment. One is random noise caused by turbulence and having its energy evenly across the frequency bands so referred as broadband noise, and examples are the low-frequency sounds of jet planes and the impulse noise of an explosion. Another type of noise, called narrowband noise, concentrates most of its energy at specific frequencies this is produced due to rotating or repetitive machines, so it is periodic or nearly periodic. This paper explain the feed forward Fxlms algorithm for active noise control and the noise worked here are sinusoidal tones bellow 200 Hz ,computer fan noise and ceiling fan noise .Mat lab implementation of Feed forwad FXLMS algorithm is done and result is compared for different convergence factor and different filter length of control filter

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-203
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