• 제목/요약/키워드: RLS-90

검색결과 16건 처리시간 0.032초

RLS-90 및 CRTN 모델에 의한 도로 인접건물에서의 도로소음 영향 예측 및 고찰 (Prediction and Evaluation of the Road Traffic Noise according to the Conditions of Road-side Building Using RLS-90 and CRTN Model)

  • 이장욱;김명준
    • 한국소음진동공학회논문집
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    • 제19권4호
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    • pp.425-432
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    • 2009
  • Recently, reduction of road traffic noise in residential buildings has become one of the most important subjects. To reduce the road traffic noise, noise impact assessment by the road traffic prediction model is required before building construction. For reasonable road traffic noise prediction, it is required to analysis of various factors in road traffic prediction models. This paper was studied the road traffic noise propagation factors such as distance from road to building, receiver height, alignment angle of building and reflection coefficient of the building facade by two calculation models, RLS-90 and CRTN. The result showed that noise reduction was generally higher at bottom stories by ground absorption effect. The reflection coefficient of the building facade was affect of additional sound pressure level by facade reflecting. And alignment angle of building at $90^{\circ}$ was performed effective noise reduction better than $0^{\circ}$.

Cardiac Activation Associated with Non-Periodic Leg Movements in Comparison to Periodic Leg Movements during Sleep in Patients with Restless Legs Syndrome and Healthy Subjects

  • Kim, Min-Jong;Cha, Kwang Su;Kim, Tae-Joon;Jun, Jin-Sun;Jung, Ki-Young
    • Journal of Sleep Medicine
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    • 제15권2호
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    • pp.68-73
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    • 2018
  • Objectives: Periodic leg movements in sleep (PLMS) are associated with arousals and autonomic activation, which may contribute to higher cardiovascular disease risk in patients with restless legs syndrome (RLS). Non-periodic leg movements in sleep (NPLM) are leg jerks in sleep that does not satisfy standard criteria of PLMS. The aim of this study was to evaluate impact of short-interval leg movements in sleep (SILMS) and isolated leg movements in sleep (ILMS) in comparison to PLMS on heart rate in both patients with RLS and healthy controls. Methods: Seven idiopathic RLS patients and 9 controls were enrolled in this study. Polysomnographic studies were analyzed and leg movements (LM) were automatically detected. NPLM can be classified as SILMS and ILMS. SILMS are LM separated by an inter-movement interval (IMI) shorter than 10 s, and ILMS are LM with IMI longer than 90 s. Frequency and heart rate associated with SILMS, ILMS, and PLMS in RLS patients were compared to those in controls. Heart rate change associated with LM were determined for a fixed time window. Results: Frequencies of SILMS and ILMS of patients with RLS were not significantly different to those of controls. RLS patients presented higher heart rate change associated with SILMS than PLMS before movement onset, while heart rate change associated with SILMS, ILMS, and PLMS were not different in the controls. Conclusions: Although the number of SILMS is not higher than PLMS, SILMS may have closely associated with higher cardiac activation of RLS than PLMS. Therefore, SILMS might be an important treatment target for patients with RLS to reduce long-term cardiovascular risk. Long-term prospective studies are needed to evaluate the relationship between NPLM and cardiovascular disease in patients with RLS.

PAC 및 PAS 첨가에 따른 상업용 액상 종균제의 총균수 변화에 관한 연구 (A study on the total cell count variation of commercial liquid seed by adding PAC and PAS)

  • 박미자;박경식;김승재
    • 환경위생공학
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    • 제16권2호
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    • pp.79-90
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    • 2001
  • Commercial liquid seeds are used for supplying active microbial flora to organic wastewater treatment plants of high feed-to-microorganism ratio and to maintain optimal microbial condition during unsteady state operation of the biological wastewater treatment plant. In addition to bacterial cells, the liquid weeds contain various additives for special purposes as well as organic substrates for energy supply. The additives give physical stability for the maintenance of microbial decomposition activity and ability to control the overgrowth of seed strains. In this work, the effects of addition of two kinds of typical substrate additives, poly aluminum chloride(PAC) and poly aluminum sulfate(PAS) on the consitutional total cell counts(CFU/ml) of four kinds of reorganization liquid seeds(RLS I, RLS II, RLS III and RLS IV) were studied experimentally. The addition of PAC and PAS gave negative effect on TCC constitution for the four seeds studied.

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도로교통 소음지도 작성을 위한 소음예측식 비교 연구 (A Comparative Study of Noise Prediction Method of Road Traffic Noise Map)

  • 정우홍;박인선;김지윤;박상규;강대준
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 춘계학술대회논문집
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    • pp.877-881
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    • 2007
  • Recently, noise map is used widely by synthetic estimation method for noise reduction. For correct manufacture of noise map, selection of suitable noise prediction method is important. This study compares XPS31-133 with CRTN, RLS90 which are widely used by foreign commercial noise maps.

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공동주택 소음예측 방법에 관한 연구 (Study on the efficient noise prediction for an apartment house)

  • 고준희;김동준;박수진;장서일;조만희
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 춘계학술대회논문집
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    • pp.505-509
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    • 2008
  • This paper studied the efficient noise prediction method for new apartment house near the road traffic noise. Three noise prediction software were compared by each prediction noise level using the simple model which is included the road, soundproofing wall and building. Two foreign national calculation models(RLS-90 and NMPB) were verified by comparison of measured sound level. Frequency of sound level was predicted by NMPB and compared by measured data. The sphere of noise source and facade reflection were proposed to accurate predict the road traffic noise in new apartment house.

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도로소음 예측모델(2D, 3D)이용 방안 (Application of road noise prediction model(2D, 3D))

  • 정태량;조재창;강영식;서충열;박영민
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 추계학술대회 논문집
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    • pp.856-857
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    • 2014
  • 국내에서 이용되는 예측모델은 국립환경과학원식, 도로공사의 HW-NOISE, KHTN, 소음지도에 이용되는 외국의 RLS90, NMPB 등이 있다. 이러한 예측모델은 예측 방법 및 표현에 따라 예측식 2D(국립환경과학원식, HW-NOISE)와 3D로 예측(KHTN, RLS90, NMPB 등)으로 구분할 수 있다. 본 연구는 도로 주변 공동주택에서의 소음실측 및 예측식별 예측값을 통하여 예측식의 오차 및 오차의 원인을 분석하고 예측식의 적용방법에 대하여 고찰하였다.

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교통환경 및 도로기하구조를 고려한 도로교통소음 예측모형 개발에 관한 연구 (Development of Prediction Models for Traffic Noise Considering Traffic Environment and Road Geometry)

  • 오석진;박제진;최건;하태준
    • 대한토목학회논문집
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    • 제38권4호
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    • pp.587-593
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    • 2018
  • 현재 널리 사용되고 있는 도로교통소음 예측프로그램들은 국외 예측모형을 바탕으로 제작된 것이 대부분이다. 이에 본 연구에서는 국내 도로교통환경에 적합한지를 알아보기 위해 국외 예측모형에 대한 검증을 수행하였다. 또한, 예측모형마다 도로교통소음 발생에 대한 영향요인이 다르기 때문에 주요 요인들에 대한 분석 및 고찰을 선행하였다. 본 연구에서는 도로교통소음 예측 시 사용되고 있는 영향인자와 기존 예측모형에 대하여 고찰하고, 교통환경 및 도로기하구조를 고려하여 주행차량의 발생 소음에 영향을 미치는 영향인자와의 관계를 다중회귀분석을 통한 예측모형으로 도출하였다. 나아가 기존의 도로교통소음 예측모형(국립환경과학원(NIER), 독일의 RLS-90)과 도출된 도로교통소음 예측모형의 실측값을 적용하여 비교 검증 결과, 오차의 절대값 합은 NIER, RLS-90, 모형값 순으로 나타났다. 따라서 본 모형식이 향후 도로교통소음 예측 모델링에 대한 연구의 참고자료로 활용할 수 있는 기틀을 제공하고자 한다.

울산시 소음예측지도 작성에 관한 연구 (A Study on the Construction of 3D Noise Map for Ulsan-City)

  • 이장명;송창섭
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2010년도 추계학술대회 논문집
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    • pp.144-145
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    • 2010
  • 3-D noise map of Mugue Dong of the Ulsan City has been constructed. Comparing with the measured noise level, the predicted noise level has been confirmed for its accuracy. Correction factors for better prediction result using the constructed noise map have been investigated proving that its method is useful. The procedure of noise map construction method has also been introduced using RLS-90, Cadna A.

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LiDAR 자료를 이용한 도심지의 도로 교통소음 영향평가 (Road Traffic Noise Assessment of the Urban Area using LiDAR Data)

  • 이동하;이승헌;윤홍식;조재명;위광재
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2007년도 춘계학술발표회 논문집
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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.

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