자기공명(magnetic resonance, MR)영상에서 주로 발생하는 Rician 노이즈는 영상의 화질을 저하하는 주요 요소 중의 하나이다. 본 연구에서는 노이즈 제거에 효율적이라고 잘 알려진 총변이(total variation, TV) 알고리즘을 모 델링하여 Rician 노이즈 레벨에 따른 파라미터를 최적화하고자 한다. 시스템은 8채널 기반의 3.0 T 장치를 활용하였 고 물 팬텀 영상을 획득하여 각각 Rician 노이즈를 0.05, 0.10, 0.15, 그리고 0.20 값을 부가하였다. TV 알고리즘 은 Rudin-Osher-Fatemi 모델을 기반으로 모델링하였고 최적화를 수행하기 위하여 반복수 파라미터를 조정하여 획득된 영상에 적용하였다. 결과적으로 Rician 노이즈 레벨을 0.05, 0.10, 0.15, 그리고 0.20을 사용하였을 때 각 각 30, 40, 80, 그리고 120 반복수를 기반으로 한 TV 노이즈 알고리즘에서 가장 우수한 신호 대 잡음비(signal to noise ratio, SNR)와 대조도 대 잡음비(contrast to noise ratio, CNR) 결괏값이 도출되었다. 또한, 최적화된 반복수를 적용한 TV 알고리즘을 사용한 MR 영상에서 기존의 위너 및 중간값 필터를 사용하였을 때 비하여 SNR과 CNR 모두 우수한 값을 획득할 수 있었다. 특히 기본적으로 획득된 MR 영상보다 최적화된 TV 알고리즘을 적용한 영상의 평균 SNR과 CNR은 각각 3.11 및 3.31배 향상됨이 증명되었다. 결론적으로, 노이즈 제거 효율이 우수한 TV 알고리즘의 최적화된 파라미터를 활용한다면 MR 영상에서의 활용 가능성이 클 것으로 기대한다.

PURPOSES : The exposed aggregate concrete pavement (EACP) is adopted to achieve low traffic noise and long-term skid resistance in European countries such as Belgium and Germany. In Korea, it is first introduced at the Myeon Cheon field site in 2010. It reduces 3 dB(A) from tire–pavement noise compared with transverse tining. Recent investigations show that EACP can reduce tire–pavement noise by an additional 5 dB(A) compared with transverse tining. In this study, the tire–pavement interaction noise of EACP is compared with that of conventional pavements such as asphalt pavement, next-generation concrete surfaces (NGCS), and transverse tining. METHODS : EACP is constructed at two field sites on the SOC research center and Yeo-Ju test road to compare the noise level via close proximity noise measurement. In addition, the noise is measured using two vehicle type based on vehicle speeds of 60, 80, and 100 km/h. RESULTS : The results of noise measurement obtained from the SOC research center are as follows: Porous asphalt pavement 92.8 dB(A), HMA 96. dB(A), transverse tining 100.1 dB(A), and 8 mm EACP 97 dB(A) at a driving speed of 80 km/h. For the case of the Yeo-Ju test road. The noise levels at a driving speed of 80 km/h are as follows: 6 mm EACP, 93.6 dB(A); asphalt grooving pavement, 94.72 dB(A); 8 mm EACP, 95.2 dB(A); NGCS, 95.2 dB(A); transverse tining, 104.1 dB(A). CONCLUSIONS : The result of noise measurement of two sites in the SOC research center and test road shows that the noise level of the 6 mm EAC is lower than that of concrete pavement, such as tining and NGCS, and similar to that of asphalt pavement. In addition, the noise level of the 8 mm EAC is similar to that of the NGCS pavement. The noise reduction effect of the EAC is greater when small-sized coarse aggregates with lower flat and elongation ratios are used.

통상적으로 직업소음에 의한 청력손실을 최소화하기 위해서는 작업자가 8시간 동안 85 dBA 이상 소음에 노출되지 않도록 권고하고 있다. 이번 연구에서는 실습선박에서 7종류의 담당업무별 작업자들의 소음노출레벨을 측정하였다. 항해 중, 24시간 동안 작업자의 위치하는 A특성등가소음레벨(LAeq,i)과 소음장소의 지속기간(h) 및 소음기여도(Lex,24h,i)를 고려한 소음노출레벨(Lex,24h)을 측정하였다. 그 결과, 갑판사관 그룹 Lex,24h=56.1 dB, 갑판부원 그룹은 Lex,24h=58.9 dB, 실습항해사들은 Lex,24h=62.0 dB, 취사부원들은 Lex,24h=64.3 dB, 실습기관사그룹 은 Lex,24h=91.1 dB, 기관사관 그룹은 Lex,24h=91.1 dB, 그리고 기관부원 그룹은 Lex,24h=95.1 dB를 나타내고 있다. 따라서 기관 업무를 담당하는 기관사들, 기관부원들 그리고 기관실습생들은 반드시 청력보호구를 착용해야함을 알 수 있었다. 소음이 심한 기관실에서 청력보호구를 착용한다면 기관사관그룹은 Lex,24h=23.1 dB, 기관부원그룹은 Lex,24h=24.4 dB 그리고 기관실습생들은 Lex,24h=21.5 dB의 소음노출레벨을 줄일 수 있을 것으로 추정된다. 또한 실습생들의 거주구역인 제2 강의실 겸 식당구역에 바닥시공을 64 mm, A-60-class 뜬바닥 구조로 개선했다면 실습항해사들의 소음노출도는 Lex,24h=4.3 dB, 실습기관사들은 Lex,24h=1.8 dB 정도 추가적인 감소가 있었을 것이다.

The noise environment was evaluated using the ISO recommended NR evaluation curve and PSIL (Preferred Sound Interference Level) in order to investigate the onboard educational environment according to the noise in the Motor Vessel Saehaerim, a fishing training ship under making way. As a result, NRNs were measured at 37-61 dB in accommodation areas, 44-56 dB in work areas, 37-57 dB in educational and conference areas, 83-103 dB in engine areas and 65.3 dB and 51.2 dB in the work and education areas respectively based on PSIL. The NRNs, which evaluated the cabin of the experimental ship according to the purpose, exceeded all of the indoor standard noise recommended by the ISO, and the PSIL had a generally short conversational distance within 0.25-2.3 m and 0.75-1.3 m for teaching and work areas.

PURPOSES: This study is to predict the Sound Pressure Level(SPL) obtained from the Noble Close ProXimity(NCPX) method by using the Extended Kalman Filter Algorithm employing the taylor series and Linear Regression Analysis based on the least square method. The objective of utilizing EKF Algorithm is to consider stochastically the effect of error because the Regression analysis is not the method for the statical approach. METHODS: For measuring the friction noise between the surface and vehicle’s tire, NCPX method was used. With NCPX method, SPL can be obtained using the frequency analysis such as Discrete Fourier Transform(DFT), Fast Fourier Transform(FFT) and Constant Percentage Bandwidth(CPB) Analysis. In this research, CPB analysis was only conducted for deriving A-weighted SPL from the sound power level in terms of frequencies. EKF Algorithm and Regression analysis were performed for estimating the SPL regarding the vehicle velocities. RESULTS : The study has shown that the results related to the coefficient of determination and RMSE from EKF Algorithm have been improved by comparing to Regression analysis. CONCLUSIONS : The more the vehicle is fast, the more the SPL must be high. But in the results of EKF Algorithm, SPLs are irregular. The reason of that is the EKF algorithm can be reflected by the error covariance from the measurements.

1986년 8월 1일부터 8월 30일까지 완도, 목포, 흑산도 항로와 흑산도에서 제주항 항로상에서 해상이 잔잔한 날을 택하여 실습선 부산403호의 순항시와 표박시의 주기관과 각 갑판의 선수미선상에서의 주요장소에서의 진동과 소음준위를 측정하고 진동분석을 통하여 진동변위, 속도, 가속도를 비교.고찰한 결과를 요약하면 다음과 같다. 1. 진동과 소음압준위. 1) 주갑판상에서 진동과 소음준위가 가장 높은 곳은 주기관의 수직상면이고 가장 낮은 곳은 소음은 선교수직하, 진동은 선수부창고의 수직하면에서이다. 2) 주기관 cylinder head, 기관실 좌측, 축계관상부에서 순항시의 진동준위는 80, 67, 65dB이고, 소음준위는 각각 104, 87, 86dB이다. 3) 선교를 통과하는 수직선상의 진동준위는 최저갑판에서 60dB로 가장 높고, 선교갑판에서 55dB로 가장 낮으며, 소음준위는 compass deck에서 75dB로 가장 높고, 최저갑판에서 53dB로 가장 낮다. 4) 노천갑판에서 진동과 소음준위는 모두 보우트갑판에서 각각 65, 84dB로 가장 높고, 진동준위는 교실 위에서 51dB, 소음준위는 선수누갑판에서 57dB로 가장 낮다. 5)최저갑판의 진동과 소음준위는 모두 기관실에서 가장 높아 각각 65dB, 85dB이고, 선수부창고에서 가장 낮아 각각 54dB, 52dB이다. 진동준위와 소음준위를 비교하면 기관실을 중심으로 하여 선수쪽에서 진동준위가 높고, 선미쪽에서는 소음준위가 높다. 2. 진동분석 1) 진동변위는 주기관 cylinder head에서 100μm로 가장 크고, compass deck에서는 3μm로 가장 작다. 또 진동속도는 주기관 cylinder head에서 11mm/sec로 가장 빠르고, compass deck에서 0.07mm/sec로 가장 느리며, 이들은 모두 100Hz 이상에서는 급격한 감쇄를 보였다. 2) 진동가속도는 주기관 cylinder head에서 중심주파수 1KHz, 1.1mm/sec 상(2) 로 가장 빠르고 compass deck에서 30Hz, 0.05mm/sec 상(2) 로 가장 느리다.

1984년 7월 24일에서 동년 8월 2일까지 동해안과 울릉도를 항해중 정선하여 14개의 관측점에서 수심 5m~200m층을 관측한 해중소음의 음압레벨을 분석한 결과, 해중소음은 연안에서 멀리 떨어진 해역의 표층부근에서는 평균 1dB/16m의 비율로 수심이 깊어짐에 따라 낮아지는 경향을 나타내었으며, 정상적인 소음분포 형태를 이루고 있음을 알 수 있었다. 또한, 항구나 항만입구 부근에서는 육상소음의 영향을 받아, 단속적이고 지역적인 소음분포 형태를 이루고 있음과 해저지형과 해상에 따라서도 크게 변동됨을 알 수 있었다.

This study is carried out to propose an empirical equation which can promptly predict the aircraft noise level at a specific point (a receptor) near Jeju international airport by using the information of the flight path data. For this purpose, Analyses of multiple linear regression with the slant distances (SD) calculated from the gate analyses of the flight path data, aircraft noise certification levels with unit of EPNL(effective perceived noise level) and noise levels measured at receptors are performed by SPSS package. From these regression analyses for approach and departure of aircraft, we can propose empirical equations which is statistically significant. The noise levels predicted by these empirical equations are highly correlated the measured data.

This research helps you understand the road traffic noise levels by using a noise map. We have observed the change of the road traffic noise levels around 07:00～08:30 and 22:00～23:00 using the noise map in the city. The road traffic noise level is very high both at noon and at night around a beltway and an interchange that is linked with a highway. It seems that the main route of so many vehicles, which are at neighboring cities such as N city and D and H districts and which avoid traffic jams in the city, is the beltway and interchange. The road traffic noise level of a nearby express bus terminal, railroad station, and airport is more than 75 dB at noon and 65 dB at night. The road traffic noise level of G city at night is observed to be more than 55 dB. The noise levels of a residence area and a university are higher than a road with high noise levels when the commuters drive to work. The end of the day exceeds 11 o'clock because of a culture level of development that arouses spare time, eating out, adults' drinking culture, nightlife of the youth, etc. Therefore, the road traffic noise level is high during late night hours, and it exceeds regulatory guidelines (55 dB(A)). It also damages the residence area that is located near the road.

The purpose of this paper is to evaluate the noise level and source, reduce the subway lineⅡ noise. As a result of measurement of subway line Ⅱ in Busan the highest value section of uproad line was from Jigegol to Motgol by 89 dB(A). The sections of conversation and listening interference(over 80 dB(A)) were 21 sections(55%) of 38 sections. Among these sections, 15 sections(71%) were produced rolling noise, 3 sections(14%) squeal noise, 2 sections(10%) braking noise and 1 section(5%) fan noise, and then a main noise source was the rolling noise. In case of downroad line, the highest value section was from Busan Metro Art Museum to Centum city, Motgol to Jigelgol by 88 dB(A). The sections of conversation and listening interference(over 80 dB(A)) were 18 sections(47%) of 38 sections. Among these sections, 15 sections(83%) produced rolling noise, 2 sections(11%) squeal noise and 1 section(6%) braking noise were investigated in this study. and then a main noise source was the rolling noise.

We investigated and analysed the actual conditions and characteristics of railroad noise levels for 17 sites in the vicinity of the Seoul-Pusan Line. The results are summarized. as follows : 1) Railroad noise level ranged to 64∼74 L_eq dB(A) at day time and ranged to 60∼72 L_eq dB(A) at night time. 2) Increased night noise level depend on the increase of trains passing at night time. 3) The major factor of increased noise level in the vicinity of stations are using loudspeakers and stream whistle on trains. 4) Decreased effect of noise according to distance is able to be described quantitatively using regression equations of multiplicative model. L_eq=78.59 X^-0.056 n=25, r=-0.994, s.e.=1.007 P_av =105.68X^-0073, n =25, r =-0.997, s.e. = 1.007 Also increased and decreased effect of noise according to floor in apartment is able to be described quantitatively using regression equations of multiplicative model. L_eq = 64.238 X^0.0567, n = 39, r = 0.787, s. e. = 1.004 P_av. = 79.963 X^0.0254 n = 39, r = 0.689, s. e. = 1.056 5) Average noise level in high floor is over 70L_eq dB(A) at day and night time, so more detailed soundproofing countermeasured in high floors apartment is required.