000			02139nam a2200253 a 4500
001			vtls000039515
003			KUKTEM
005			20251114204402.0
008			090706t2009 my a f m 000 0 eng|d
020			_aTHE0006075(Local)
039		9	_a201905151415 _baida _c201107132258 _dVLOAD _c200911091628 _dkam _c200911091625 _dkam _y200907061508 _zida84
040			_aUMP
090			_aTJ211 .S93 2009 rs Bc.
100	0		_aMohd Syamil Mohd Salleh
245	1	0	_aMobile audio sensing autonomous robot/ _cMohd Syamil Bin Mohd Salleh
246	3		_aMobile audio sensing autonomous robot _h[electronic resource]
260			_aKuantan, Pahang : _bUMP, _c2009
300			_a56 p. : _bill. ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Electrical Engineering (Electronic)) -- Universiti Malaysia Pahang - 2009
520			_aM.A.S.A.R is an audio sensing robot that detect audio frequency. A beacon of fixed frequency is used as the audio source in this case a buzzer is used as the beacon. M.A.S.A.R detection system consists of 4 electrets condenser microphones are used to detect the sound emitting from the buzzer. The signal is then filter out by using a high-pass filter to make the output consist only of high frequency outputs. These outputs are then compared in the microcontroller. Microchip’s PIC18F4550 is used as the microcontroller for its ease of use and flexibility. By using the analog to digital converter inputs at PORTA, the filtered frequency will be digitize into 8 bits of data that is than compare with the other inputs from the other 3 microphones. The result of this comparison is evaluated by which quadrant the sound make the most noise. By referring to the quadrant the robot will rotate and then moves forward towards the sound while maintaining the primary microphone in front , directly facing the point of origin. The robot will automatically readjust it position by rotating until the primary microphone is in line with the source.
650		0	_aRobotics
650		0	_aRobots _xControl systems
999			_aVIRTUA40 _c1145 _d1151
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6500*6501*9992