Abstract
The noise inside a naval vessel is very important in considering the need for hearing protection, improving the working environment and maintaining good communications for crews living on board a naval vessel. The indoor noise of a ship usually is specified by the Aweighted sound pressure level, but other evaluating parameters are required to reflect human senses more effectively. This paper uses additional psychological responses related to room acoustics, such as NR (noise rating), NC (noise criterion), RC (room criterion), PSIL (preferred speech interference level) and loudness to evaluate the noise inside cabins and offices on a naval vessel. Through comparing these psychological responses to the noise against the survey results describing the crew’s degree of satisfaction with the indoor noise aboard the naval vessel, this paper proposes a new evaluation index using a back-propagation neural network algorithm which can represent the sound quality of the indoor noise in a naval vessel.
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This paper was recommended for publication in revised form by Editor Yeon June Kang
Hyun-Soo Hong received a B.S. in Material Engineering from Korea University in 1981. He then went on to receive his M.S. degree in Material Engineering from Pusan National University, Korea, in 1988. Mr. Hong is currently a Principle Researcher at Defense Agency of Technology and Quality, Busan, Korea.
Sang-Ryul Shim received a B.S. from Korea University in 1981. He then went on to receive his M.S. and Ph.D degrees from Seoul National University in 1987 and Hanyang University in 2000, respectively. Dr. Shim is currently a Professor at the Department of Defense Business, Graduate School of, Kwangwoon University in Seoul, Korea.
Hyung-Suk Han received a B.S. in Production and Mechanical Engineering from Pusan National University, Korea, in 1996. He then went on to receive his M.S. and Ph.D degrees in Mechanical Engineering from Pusan National University, Korea, in 1998 and 2007, respectively. Dr. Han is currently a Senior Researcher at Defense Agency of Technology and Quality, Busan, Korea.
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Hong, HS., Shim, SR. & Han, HS. Developing the logic for evaluating the indoor noise of a naval vessel using a back-propagation neural network. J Mech Sci Technol 25, 2755–2762 (2011). https://doi.org/10.1007/s12206-011-0804-2
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DOI: https://doi.org/10.1007/s12206-011-0804-2