• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.475-478
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• 2007

In this study, we estimated the effect of the traffic noise in urban area using the LiDAR data. The propagation of noise has a strong relationship between distance and shape of surface. Therefore, it is necessary to consider the distribution of buildings for estimating noise assessment in urban area because noise propagations will be affected by buildings. For this, we were developed DEM and DBM using the LiDAR data in order to analyze the propagation of traffic noise precisely in urban area. The level of traffic noise were calculated by investigating the real volume of traffic in study area. The SoundPLAN S/W and RLS90 algorithm was used for traffic noise assessment.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.12
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• pp.2368-2373
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• 2011

Traffic noise annoyance in dwelling area like private houses and apartment is becoming very important issue nowadays in South Korea. In this paper frequency analysis of the traffic noise was performed. Based on sound pressure levels analyses and its frequency content specific requirements for component of active noise control systems are formulated. Active compensational loudspeaker, microphone front end and DSP design were analysed, considered and proposed. Components specifications and design solutions are verified using modelling and experimental technique.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.427-432
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• 1999

When a high-speed train enters a tunnel, a compression wave is generated. This wave subsequently emerges from the exit portal of the tunnel, which causes an impulsive noise called 'Sonic boom' or 'micro-pressure wave'. In the present study, new method is presented for prediction of sonic boom noise, especially focusing on the effect of the nose shape of the train on the resultant noise. Acoustic theory for monopole source is used to represent a nose shape of the train in wave equation. Compression wave propagation in tunnel considering tunnel track condition and emission of sonic boom was calculated. The predicted compression waves and impulsive sound waves are compared with recent measurements, and show reasonable agreements.

• Journal of the Korean Chemical Society
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• v.61 no.4
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• pp.139-142
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• 2017

Ethene ($C_2H_4$), which is produced in plants as they mature, was used to study its photoacoustic properties using photoacoustic spectroscopy. Detection of trace amounts, with $N_2$ gas, of $C_2H_4$ gas was also applied. The gas was tested in various conditions-temperature, concentration of the gas, gas cell length, and power of the laser- to determine their effect on the photoacoustic signal, the ideal conditions to detect trace gas amounts, and concentration of $C_2H_4$ produced by an avocado and a banana. A detection limit of 10 ppm was determined for pure $C_2H_4$. A detection of 5% and 13% (by volume) concentration of $C_2H_4$ was produced for a ripening avocado and banana, respectively, in closed space.

• Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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• 1995.10a
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• pp.157-159
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• 1995

지난 1995년 7월 30일 칠리 북측해안(23.4$^{\circ}$S, 70.2$^{\circ}$W)에서 발생한 진도 8.2(Mw = 8.2 $\pm$ 0.16)의 지진에 의한 쓰나미는 태평양을 가로질러 일본해안까지 전파되어 다시 한번 일본에서 원지 쓰나미의 내습에 따른 해안재해의 경각심을 일으켰다. 본 연구에서는 역사적으로 큰 피해를 유발시킨 1883년의 크라카토아 화산 폭발에 의한 쓰나미, 1960년 칠리 발파라이소 해역의 쓰나미, 1964년 알라스카 Prince William Sound에서의 쓰나미의 외양전파(trans-oceanic propagation)를 쓰나미 수치 시뮬레이션 모형에 의해 산정하고, 그 결과를 과학가시화 기법에 의해 정연한 컴퓨터 그래픽 비디오 애니메이션으로서 작성하였다. (중략)

• Journal of Environmental Impact Assessment
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• v.1 no.1
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• pp.21-30
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• 1992

Environmental Impact Assessment(EIA) is developing as a tool for environmentally sound and sustainable development in Korea. For more effective implementation of it, we try to apply Environmental Information System (EIS) to EIA process. EIS is composed of geographic and attribute data related to environment and Geographic Information System(GIS), and it will be applied to scoping, prediction, and alternative assessment, etc. in EIA. This study focuses on application of geographic data using GIS in suitability analysis of alternative assessment. We use TIN, buffering, and overlaying in GIS functions.

• Journal of Biosystems Engineering
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• v.26 no.2
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• pp.169-176
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• 2001

Defect of apple was depreciated the product value and causes storage disease seriously. To detect the defect of ‘Fuji’apple with machine vision system, the optical characteristics of defect should be investigated. In this research, absorbance spectra of defect were acquired by spectrophotometer in the range of visible and NIR region(400∼1,100nm) and L*a*b* color values were also acquired by colorimeter. NIR machine vision system was constructed with B&W camera, frame grabber, 16 tungsten-halogen lamps, variable focal length lens and NIR bandpass filter which was mounted to lens outward. Average gray values of defect at 15 NIR wavelength were acquired and the significant NIR wavelength was selected by comparing Mahalanobis distance between sound and defective apple. As the result of Mahalanobis distance analysis, the significant wavelength to discriminate the defectives in ‘Fuji’apple were found to be 720nm for scab and 970nm for bruise and cuts and 920nm was also effective regardless of defective types.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.690-693
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• 2006

As the silence of vehicle is more important, noise reduction of tire is more required. Noise of tire is divided into structure home noise and air borne noise. Tire tread has the property such as Hardness. Pattern Noise is caused by changing of tread hardness. This property has influence on the mechanisms which are Block Impact & Stick-slip sound. In the study, we found that the effect of Hardness is related to more Stick-Slip than Impact.

• Journal of Biosystems Engineering
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• v.24 no.4
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• pp.325-334
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• 1999

The aim of this study was to present a groundwork for development of a sorting system of peeled garlics using machine vision. Images of various garlic samples such as sound, partially defective, discolored, rotten and un-peeled were obtained with a B/W machine vision system. Sorting factors which were based on normalized histogram and statistical analysis(STEPDISC Method) had good separability for various garlic samples. Bayes discriminant function and neural network sorting algorithms were developed with the sample images and were experimented on various garlic samples. It was showed that garlic samples could be classified by sorting algorithm with average sorting accuracies of 88.4% by Bayes discriminant function and 93.2% by neural network.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.05a
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• pp.56-60
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• 2007

Nowadays shear wall structural system is gradually changing to framed structure. For this reason, lightweight panel is increasingly being used as separating walls. One of design methods to obtain high transmission loss is double panel. To predict the acoustic performance of double panel, prediction of transmission loss of single panel must be performed, previously. In this study, the predicted values for four single panels were compared with the measured values. The result shows the arithmetical average deviations(100Hz to 3150Hz) between the predicted and measured transmission loss were in range between 1.1dB and 3.9dB. The predicted values were generally lower than measured values above critical frequency. The single-number quantities, $R_W+C$, were predicted in range between 36dB to 38dB, and the differences of single-number quantities between the predicted and measured value were within 1dB.