Wireless Integrated Network Sensors: Definition: Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or some terrorists entering the border. The border area is divided into number of nodes. Each node is in contact with each other and with the main node. The noise produced by the foot-steps of the stranger are collected using the sensor. This sensed signal
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are offered in MANET’s routing in order to increasing reliability which some of them are offered in this section. Generally‚ multipath routing techniques are used for increasing reliability. The techniques mainly divide into two groups: discrete nodes and discrete edges [5]. When failure happen in a path‚ another paths are available to perform the operation‚ therefore route recovery is not required for disabled path [6]. But multipath routing is weak about packet
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within an office building)."[2] A Campus Area Network (CAN) is a fiber-optic network that physically interconnects entire buildings into one giant network. While each building may have several discrete LANs within it‚ each building represents a single node on the CAN. [3] A Metropolitan Area Network
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EXPERIMENT 5 TRANSVERSE STANDING WAVES A string attached to a turning fork is set vibrating at the same frequency as the tuning fork. The length and tension in the string are adjusted until standing waves are observed on the string. By knowing the tension in the string and the wavelength of the standing waves‚ the frequency of oscillation of the string and thus‚ the tuning fork is found. This value is then compared to a strobelight determination of the frequency. THEORY
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ail (200710779) 3- Omar zuhair 4- Abstract Wireless car notification system; is mainly about having information regarding the car‚ to be updated around the hour and be displayed to the user. By using a number of different types of sensors‚ to get an important information regarding the car‚ which are transmitted using transceivers between the implementation of this project in the car‚ and a remote that has an LCD‚ which displays those updated information. Knowing and getting information
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My expedition in the field of computer science began while studying the similarities and complexities of a human mind and computer where the science of this masterpiece overpowered its creator – the human mind. It is the ubiquitous nature of computer science technology that played a large part in motivating me to pursue graduate studies in the field. The excellent academic environment and the myriad research opportunities that I was fortunate enough to get during my undergraduate years
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ASSUMPTION UNIVERSITY Faculty of Engineering Physics Laboratory I 1. EXPERIMENT : Speed of sound 2. OBJECTIVE: : (1) To determine the wavelength of a sound in resonance air column. (2) To determine the speed of sound in air at room temperature. 3. APPARATUS : Resonance tube (air column) attached with water container and meter stick‚ thermometer‚ function generator‚ speaker. 4. THEORY:
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wave 1/T= f]. V= (λ/T) V= (1/T) λ V= f (λ) If an advancing wave is obstructed it is reflected in exactly opposite direction. The advancing wave and the reflected wave interfere destructively and constructively causing nodes and antinodes. Procedure: The glass tube is filled with water to almost to the top. A tuning fork10211 Hz was excited by hitting it tangentially with a rubber mallet (rubber hammer) and the tuning fork
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ME 362 AUTOMATIC INDUSTRIAL COOLER WITH WIRELESS PC CONTROL AUTHORS Saif Khan Alen (0910077) Md. Arman Hossain Naiem (0910081) Ishtiaq Jamil Siddique (0910090) Group No: B17 Robot name: AICWPC Date of Submission: 18/06/13 Copyright Statement: All images and content contained herein are subject to copyright; All rights reserved. Any usage of these images and content by any person or entity must be preceded by written consent from BUET. Only BUET has the right to use and reproduce
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Monitoring (VSAM) project (1997–1999)‚ the Robotics Institute at Carnegie Mellon University (CMU) and the Sarnoff Corporation developed a system for autonomous Video Surveillance and Monitoring. The technical approach uses multiple‚ cooperative video sensors to provide continuous coverage of people and vehicles in a cluttered environment. This final report presents an overview of the system‚ and of the technical accomplishments that have been achieved. c 2000 Carnegie Mellon University work was funded
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