• Smart Structures and Systems
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• 제32권2호
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• pp.83-99
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• 2023

The temperature prediction approaches of three important locations in an operational longitudinal slab track-bridge structure by using three typical neural network methods based on the field measuring platform of four meteorological factors and internal temperature. The measurement experiment of four meteorological factors (e.g., ambient temperature, solar radiation, wind speed, and humidity) temperature in the three locations of the longitudinal slab and base plate of three important locations (e.g., mid-span, beam end, and Wide-Narrow Joint) were conducted, and then their characteristics were analyzed, respectively. Furthermore, temperature prediction effects of three locations under five various meteorological conditions are tested by using three neural network methods, respectively, including the Artificial Neural Network (ANN), the Long Short-Term Memory (LSTM), and the Convolutional Neural Network (CNN). More importantly, the predicted effects of solar radiation in four meteorological factors could be identified with three indicators (e.g., Root Means Square Error, Mean Absolute Error, Correlation Coefficient of R2). In addition, the LSTM method shows the best performance, while the CNN method has the best prediction effect by only considering a single meteorological factor.

• 한국환경과학회지
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• 제25권8호
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• pp.1115-1129
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• 2016

To analyze human thermal environments in protected horticultural houses (plastic houses), human thermal sensations estimated using measured microclimatic data (air temperature, humidity, wind speed, and solar and terrestrial radiation) were compared between an outdoor area and two indoor plastic houses, a polyethylene (PE) house and a polycarbonate (PC) house. Measurements were carried out during the daytime in autumn, a transient season that exhibits human thermal environments ranging from neutral to very hot. The mean air temperature and absolute humidity of the houses were $14.6-16.8^{\circ}C$ (max. 22. $3^{\circ}C$) and $7.0-12.0g{\cdot}m^{-3}$ higher than those of the outdoor area, respectively. Solar (K) and terrestrial (L) radiation were compared directionally from the sky hemisphere (${\downarrow}$) and the ground hemisphere (${\uparrow}$). The mean $K{\downarrow}$ and $K{\uparrow}$ values for the houses were respectively $232.5-367.8W{\cdot}m^{-2}$ and $44.9-55.7W;{\cdot}m^{-2}$ lower than those in the outdoor area; the mean $L{\downarrow}$ and $L{\uparrow}$ values were respectively $150.4-182.3W{\cdot}m^{-2}$ and $30.5-33.9W{\cdot}m^{-2}$ higher than those in the outdoor area. Thus, L was revealed to be more influential on the greenhouse effect in the houses than K. Consequently, mean radiant temperature in the houses was higher than the outdoor area during the daytime from 10:45 to 14:15. As a result, mean human thermal sensation values in the PMV, PET, and UTCI of the houses were respectively $3.2-3.4^{\circ}C$ (max. $4.7^{\circ}C$), $15.2-16.4^{\circ}C$ (max. $23.7^{\circ}C$) and $13.6-15.4^{\circ}C$ (max. $22.3^{\circ}C$) higher than those in the outdoor area. The heat stress levels that were influenced by human thermal sensation were much higher in the houses (between hot and very hot) than in the outdoor (between neutral and warm). Further, the microclimatic component that most affected the human thermal sensation in the houses was air temperature that was primarily influenced by $L{\downarrow}$. Therefore, workers in the plastic houses could experience strong heat stresses, equal to hot or higher, when air temperature rose over $22^{\circ}C$ on clear autumn days.

• 대한원격탐사학회지
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• 제37권2호
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• pp.211-220
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• 2021

작물의 생육 상태와 스트레스를 탐지하기 위한 유용한 변수 중 하나인 지표면온도(LST)는 열화상 카메라의 소형화와 무인기(UAV)의 발달로 인해 식생 군락 및 지역적 규모에서 취득할 수 있게 되었다. 무인기에 장착된 열화상 카메라로 관측한 LST(LSTUAV)는 습도, 풍속과 같은 기상인자, 관측기기, 그리고 지표 상태에 따라 영향을 받으나 다양한 기상 조건과 작물의 생육 단계에서 측정된 LSTUAV의 정확도 평가는 부족한 실정이다. 본 연구의 목적은 지상에 고정된 열적외선 센서에서 관측된 LST(LSTGround)를 이용하여 다양한 기상 조건과 작물의 생육 상황에서 LSTUAV의 정확도를 평가하는 것이다. 마늘 작물을 대상으로 LSTUAV 관측을 수행하였으며, 상대습도, 절대습도, 돌풍, 그리고 식생지수에 따른 LSTUAV 정확도를 평가하였다. 센서 간의 편향을 최소화한 경우 상대습도가 60%를 초과하는 조건에서 관측된 LSTUAV의 평균제곱근오차는 2.565℃로 상대습도 60% 이하에서 관측된 LSTUAV의 평균제곱근오차(1.82℃) 보다 정확도가 낮았으며, 절대습도에 대한 결과도 상대습도와 유사했다. 이는 대기 중의 습도가 LSTUAV의 정확도에 영향을 미친다는 것을 의미한다. 따라서 LSTUAV를 관측은 상대습도가 60% 이하의 조건에서 수행되는 것을 권고한다. 반면, 돌풍이나 식생 피복률의 영향은 통계적으로 유의하지 않았다. 이것은 무인기 비행이 안정적으로 가능한 조건에서 LSTUAV는 식생의 상태를 반영한 신뢰성 있는 값을 도출한다는 것을 의미한다. 본 연구의 결과는 농업 분야에서 LSTUAV의 정확도를 이해하고 활용하는데 도움이 될 것이다.

• 해양환경안전학회지
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• 제18권3호
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• pp.287-293
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• 2012

본 연구는 수산 폐기물인 굴패각을 공조시스템의 수분 흡착제로 사용하기 위한 가능성을 실험을 통해 살펴본 기초적인 연구이다. 연구의 주된 목적은 굴패각의 제습성능과 열전소자의 냉각효과를 파악하는 것이며 본 연구를 통해 굴패각은 공조시스템 내에서 사용가능한 수분 흡착제로서의 성능을 충분히 가지고 있으며, 또한 냉각효과를 통해 흡착성능을 크게 향상시킬 수 있다는 것을 알았다. 본 시스템은 신재생에너지인 태양광을 이용하기 때문에 시스템의 구동에 필요한 다른 전원은 필요 없어 환경적으로도 매우 바람직한 연구이다.

• 한국멀티미디어학회논문지
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• 제13권11호
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• pp.1728-1738
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• 2010

국악 타악기 편경은 중국의 흑경(chines stone chimes=Bianqing) 등과 함께 '돌로 만든 타악기군 (Lithophone)'에 속한다. 주재료인 경석(옥돌)의 특성상 온도와 습도의 영향을 받지 않음으로, 편경은 아악의 조율을 담당하는 악기로도 잘 알려져 있어 음악사적 가치 또한 크다 할 수 있다. 이렇듯 고정된 음고를 가진 악기라는 점에서 국악의 기준음고 및 음계체계 연구의 중요한 부분을 차지하고 있으나, 악기로서 편경 음향의 특성 및 가치에 관한 연구는 현재까지 활발히 이루어지지 않고 있다. 본 연구는 편경이라는 타악기의 물리적 모델링 합성(physical modeling synthesis)을 위한 분석 논문으로, 국악 타악기 편경만이 가지고 있는 고유한 음색특성을 밝히고, 과학적 분석에 의한 음향학적 근거를 제시하여 이를 객관적으로 규명하고자 한다. 이 같은 편경의 음색연구는 편경의 물리적 모델링 합성을 위한 중요한 기초자료로 활용되는 것은 물론, 악기로서의 편경 음색에 관한 이해를 높여 다양한 예술창작분야로의 접목을 활성화함으로써, 문화적 활용도를 높이는데 크게 기여할 것이다.

• Safety and Health at Work
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• 제6권3호
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• pp.256-262
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• 2015

Background: Heart attack is the most common cause of line-of-duty death in the fire service. Daily aspirin therapy is a preventative measure used to reduce the morbidity of heart attacks but may decrease the ability to dissipate heat by reducing skin blood flow. Methods: In this double-blind, placebo-controlled, crossover study, firefighters were randomized to receive 14 days of therapy (81-mg aspirin or placebo) before performing treadmill exercise in thermal-protective clothing in a hot room [$38.8{\pm}2.1^{\circ}C$, $24.9{\pm}9.1%$ relative humidity (RH)]. Three weeks without therapy was provided before crossing to the other arm. Firefighters completed a baseline skin blood-flow assessment via laser Doppler flowmetry; skin was heated to $44^{\circ}C$ to achieve maximal cutaneous vasodilation. Skin blood flow was measured before and after exercise in a hot room, and at 0 minutes, 10 minutes, 20 minutes, and 30 minutes of recovery under temperature conditions ($25.3{\pm}1.2^{\circ}C$, $40.3{\pm}13.7%\;RH$). Platelet clotting time was assessed before drug administration, and before and after exercise. Results: Fifteen firefighters completed the study. Aspirin increased clotting time before and after exercise compared with placebo (p = 0.003). There were no differences in absolute skin blood flow between groups (p = 0.35). Following exercise, cutaneous vascular conductance (CVC) was $85{\pm}42%$ of maximum in the aspirin and $76{\pm}37%$ in the placebo groups. The percentage of maximal CVC did not differ by treatment before or after recovery. Neither maximal core body temperature nor heart rate responses to exercise differed between trials. Conclusion: There were no differences in skin blood flow during uncompensable heat stress following exercise after aspirin or placebo therapy.

• 산업경영시스템학회지
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• 제39권1호
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• pp.25-30
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• 2016

It is critical to forecast the maximum daily and monthly demand for power with as little error as possible for our industry and national economy. In general, long-term forecasting of power demand has been studied from both the consumer's perspective and an econometrics model in the form of a generalized linear model with predictors. Time series techniques are used for short-term forecasting with no predictors as predictors must be predicted prior to forecasting response variables and containing estimation errors during this process is inevitable. In previous researches, seasonal exponential smoothing method, SARMA (Seasonal Auto Regressive Moving Average) with consideration to weekly pattern Neuron-Fuzzy model, SVR (Support Vector Regression) model with predictors explored through machine learning, and K-means clustering technique in the various approaches have been applied to short-term power supply forecasting. In this paper, SARMA and intervention model are fitted to forecast the maximum power load daily, weekly, and monthly by using the empirical data from 2011 through 2013. $ARMA(2,\;1,\;2)(1,\;1,\;1)_7$ and $ARMA(0,\;1,\;1)(1,\;1,\;0)_{12}$ are fitted respectively to the daily and monthly power demand, but the weekly power demand is not fitted by AREA because of unit root series. In our fitted intervention model, the factors of long holidays, summer and winter are significant in the form of indicator function. The SARMA with MAPE (Mean Absolute Percentage Error) of 2.45% and intervention model with MAPE of 2.44% are more efficient than the present seasonal exponential smoothing with MAPE of about 4%. Although the dynamic repression model with the predictors of humidity, temperature, and seasonal dummies was applied to foretaste the daily power demand, it lead to a high MAPE of 3.5% even though it has estimation error of predictors.

• 한국태양에너지학회 논문집
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• 제29권3호
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• pp.19-27
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• 2009

In this study, Urban Climate Simulation was performed by 3-Dimensional Urban Canopy Model. The characteristics of urban climate were analyzed combining artificial land coverage, building size, heat production from the air conditioning and topographic conditions as physical variables which affects urban climate characteristics. The results are as follows. (1) The aspects of the urban climatal change is derived to be related to the combination of the building coverage ratio, building height and shading area. According to the building height, the highest temperature was increased by $2.1^{\circ}C$ from 2-story to 5-story building and the absolute humidity by 2.1g/kg maximum and the wind velocity by 1.0m/s was decreased from 2-story to 20-story building. (2) Whole heat generation was influenced by the convective sensible heat at the lower building height and by the artificial heat generation at the higher one over 20-story building influence to some extent of the building coverage ratio. The effect of the altitude is not more considerable than the other variables as below $1^{\circ}C$ of the air temperature. In the last, deriving the combination of building coverage and building height is needed to obtain effectiveness of the urban built environment planning at the point of the urban climate. These simulation results need to be constructed as DB which shows urban quantitative thermal characters by the urban physical structure. These can be quantitative base for suggesting combinations of the building and urban planning features at the point of the desirable urban thermal environment as well as analyzing urban climate phenomenon.

• 대기
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• 제24권2호
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• pp.197-206
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• 2014

The effects of different averaging operators and atmospheric stability on the turbulent fluxes are investigated using the vertical velocity, air temperature, carbon dioxide concentration, and absolute humidity data measured at 10 Hz by a 3-dimensional sonic anemometer and an open-path $CO_2/H_2O$ infrared gas analyzer installed at a height of 18.5 m on the rooftop of the Jungnang KT building located at a typical residential area in Seoul, Korea. For this purpose, 7 different averaging operators including block average, linear regression, and moving averages during 100 s, 300 s, 600 s, 900 s, and 1800 s are considered and the data quality control procedure such as physical limit check and spike removal is also applied. It is found that as the averaging interval becomes shorter, turbulent fluxes computed by the moving average become smaller and the ratios of turbulent fluxes computed by the 100 s moving average to the fluxes by the 1800 s moving average under unstable stability are smaller than those under neutral stability. The turbulent fluxes computed by the linear regression are 85~92% of those computed by the 1800 s moving average and nearly the same as those computed by 900 s moving average, implying that the adequate selection of an averaging operator and its interval will be very important to estimate more accurate turbulent fluxes at urban area.

• 혜화의학회지
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• 제4권2호
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• pp.337-353
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• 1996

The following results are obtained through study on the Three Eum and Three Yang. 1. Up to nowadays, many people confuse the Great Yang, the lesser Eum, the Great Eum, and the lesser Yang of the Sasang with the Great Yang, the lesser Yang, the Sunlight, the Great Eum, the lesser Eum, and the absolute Eum of the Three Eum and Three Yang becuase they are expressed with the same letters. But the former is the second specialization of the Eum and Yang, and the latter is the transformation of the six climate, so they cannot be the same thing, and there is no connection between them. 2. Three Eum and Three Yang is the outer expression of the six climate, which is coldness, heat, dryness, humidity, wind, and the fire, and it is the conception of the formation of objects which possess SI-JUNG-JONG & BON-JUNG-MAL, and it represents one term of the status of transformation in which the life and the Yang Qi are born, grown, united, and completed. 3. The Three Eum and Three Yang is not only applyed to the outer expression of the six climate, but also to the twelve channels which correspond with the twelve viscera, six differentiation of the disease of the cold, various illness, and the form of pulse. 4. The combination of the Three Eum and Three Yang and the twelve channels is divided into the channel of Sahwa and the channel of Jonghwa, and it also has important relationship with the physiology of the viscera. 5. The division of the six channels of disease of the cold suggested by Junggyung originates from the heat theory in Neagyung, but the six channels in the heat theory are of pathological conception, so the six channels of Junggyung includes the disease of the channels and the viscera. 6. The difference of the Pyo, Bon, Jung Qi of the Three Eum and Three Yang makes the syndrom of the disease diverse so it can be used in the diagnosis and the treatment of disease, and further studies are necessary on this part.