MARC View

000			02054nam a2200241 a 4500
001			vtls000077229
003			KUKTEM
005			20251114204602.0
008			140403t2012 my a f m 000 0 eng d
020			_aTHE0006014(Local)
039		9	_a201905151127 _baida _c201404091152 _dtraining4 _c201404091150 _dtraining4 _c201404071531 _dtraining4 _y201404031559 _ztraining4
040			_aUMP
090			_aTH1725 .A33 2012 rs Bc.
100	0		_aAida Shafina Shofi
245	1	0	_aSound identification in the swiftlet house / _cAida Shafina Shofi
260			_aKuantan, Pahang : _bUMP, _c2012
300			_axi, 58 p. : _bill. ; _c30 cm. + 1 CD-ROM
502			_aProject paper ( Bachelor of Electrical Engineering ( Electronics) ) -- Universiti Malaysia Pahang - 2012
504			_aBibilography : p. 57-58
520	3		_aSwiftlets farming industry has the potential to grow into a multi-million ringgit industry due to the market demanding on using edible birds‟ nests as base materials for producing natural and organic health supplement products. To encourage the Swiftlets making more nests, their cave-like house should have a great sound identity to make them stay convenient and permanently in that building as if they are in caves. Therefore, it is very important to discover the vocalization of the Swiftlet chirps and mating sounds before being played in the cave-like building. The characteristics of recorded sound will be analyzed using the Sound Analysis Pro (SAP 2011) software. The software will display a desired waveform and the sound will be analyzed based on several featured such as Wiener entropy, pitches, frequency modulation and spectral continuity. The final product is the identification of desired sound that may attract more Swiftlets to make nests in the cave-like building. This will encourage more Swiftlets to mate, play and stay permanent in the areas that have a desired quality of sound as they interest.
650		0	_aSound proofing
999			_aVIRTUA40 _c4594 _d4600
999			_aVTLSSORT0080020004000900100024502600300050205040520065009992