• The Journal of the Acoustical Society of Korea
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• v.43 no.5
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• pp.494-501
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• 2024

The sonar technology based on marine biological sounds can be utilized in various fields, such as underwater covert target detection and communication. To develop sonar technology based on marine biological sounds, it is essential to first conduct research on the acoustic characteristics of the target marine species. Based on the analyzed data, research on signal reproduction algorithms should be carried out. In this study, we conducted research on the acoustic characteristics analysis and signal reproduction algorithms for the brown croaker, one of the species mainly inhabiting the southwestern coast of the Korean Peninsula. From the brown croaker sounds measured for approximately 100 min in a land-based tank, we analyzed the signal length, number of pulses, interval between pulses, peak frequency, and -3 dB bandwidth. Based on these acoustic characteristics, various brown croaker sounds were reproduced using a combination of wavelets and sinusoids. We performed similarity analysis with the actual measured brown croaker sounds by obtaining the maximum value of the normalized 2D cross-correlation in the spectrogram.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2003.06a
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• pp.106-109
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• 2003

This paper presents a hue preserving gamut mapping algorithm for color monitor and printer. The gamuts of monitor and printer are set by the profile of color reproduction media, specified by ICC(International Color Consortium) and provided by vendors, then those gamuts are represented on the CIE xy color space. In case that the color of monitor are located on out-of-gamut of printer, these are clipped on the point of gamut boundary of printer towards a reference white point. On the other hand, colors are in-gamut of printer are unchanged. An image generated by the algorithm keeps a ratio of each pixel of original image. Advantages of the algorithm are easy to implement and fast processing time than other algorithms which involve hue preserving especially in CIELAB color space.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.93-99
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• 2009

The fuzzy control, neural network and genetic algorithm(GA) are algorithms to make the intelligence of system more higher. In this paper, we optimized the fuzzy controller using a genetic algorithm for desire response. Also a compensated fuzzy controller has dual rules. One control rule used to decrease the overshoot and rise time occurring in transient response region and another fuzzy control rule use to decrease the steady state error and rapildy to converge at the convergence region. GA is necessary to optimal the exchange time of the two fuzzy control rule base. Fuzzy-GA controller have a process of reproduction, crossover and mutation and we experimented by hydraulic servo motor control system We could observe that compensated Fuzzy-GA controller have good control performance compare to the fuzzy control technique have two rule base table.