• 한국환경과학회:학술대회논문집
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• 한국환경과학회 2003년도 International Symposium on Clean Environment
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• pp.89-94
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• 2003

The formation of a severe snow storm occurred in the mountainous coastal region near Mt. Taegualyang and Kangnung city in the eastern part of Korea was investigate from 0900LST, December 7 through 9, 2002, using MM5 model. As synoptic scale easterly wind induced a great amount of moisture from the East Sea into the inland coastal region and sea-breeze further induced more moisture from the basin toward the top of the mountain side. The lifted moisture toward the mountain top was cooled down along the eastern slope of the mountain and near the mid of the mountain the moisture was much cooled down with relative humidity of 100％ under the air temperature below $O^{\circ}C$, resulting in the formation of snow. Relative humidity of 100％ generally occurred at the 5km away from the coast toward the inland mountain and the band of 100％ RH was parallel to the coastal line. The 100％ band coincided with minimum air temperature band and line.

• Journal of the Korean Wood Science and Technology
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• 제50권3호
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• pp.167-178
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• 2022

To investigate the influence of manufacturing environment on bonding performance of mixed cross laminated wood (CLT) using polyurethane (PUR) adhesive, a boiling water soak delamination test according to the temperature and relative humidity was conducted. The 5-ply mixed CLT consisted of Japanese Larch for external and middle layer and yellow poplar for internal layer. The PUR adhesives with different opening times of 10 and 30 minutes were used. The mixed CLT was manufactured according to pressing times of PUR and manufacturing environments of summer and winter. In case of summer environment, the delamination rate of the mixed CLT with pressing time of 4 hours using a PUR adhesive with open time of 10 minutes met the requirements of KS F 2081. In case of winter environment, the delamination rate of the mixed CLT didn't meet the requirements of KS standard. However, it was possible to confirm the effect of improving the adhesive performance by adjusting the pressing time according to the open time of the adhesive under the manufacturing conditions. The delamination rate of CLT with open time 30 minutes PUR, manufactured by indirect moisture supply methods was 11.2% better than direct moisture supply methods. As a result of delamination test in the same condition of relative humidity and adhesive, it was found that the temperature of manufacturing environment influences the adhesive performance.

• 한국환경과학회지
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• 제30권11호
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• pp.907-914
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• 2021

In this study, strawberry cultivation environment in a greenhouse located in Jeonju was monitored and internal environmental parameters were analyzed. Temperature, humidity, RAD, and PPF sensors were installed to monitor environmental conditions in the test greenhouse. Data were collected every 10 minutes during four winter months from sensors placed across the greenhouse to assess its permeability and environmental uniformity. Temperature and humidity inside the greenhouse were relatively uniform with negligible deviations among the center, south, and north; however, it was judged that further analysis of gradients of these parameters from the east to the west of the greenhouse would be needed. Both RAD (Total solar radiation) and PPF (Photosynthetic photon flux) had high values on the south and were low on the north and the reduction rate of these parameters was 54% and 61%, respectively, indicating that a significant amount of light could not be transmitted. This implied a significant decrease in the amount of light entering the greenhouse during winter. Therefore, it is concluded that environmental control devices and auxiliary lighting are needed to achieve uniform greenhouse environment for efficient strawberry cultivation.

• Journal of the Korean Wood Science and Technology
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• 제51권4호
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• pp.295-308
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• 2023

This study applied a real-time IoT (Internet of Things) environmental monitoring system to wooden cultural heritages (WCHs) located in suburbs and forests in Korea. It automated the graphs of seasonal Temperature (T) and relative humidity (RH) changes inside the heritage structures and seasonal Performance Index (PI) values. While utilizing line graphs of the existing T and RH change trends and a bar graph expressing the PI values, this study examined the current status of the conservation environment inside the WCHs throughout the year and its diagnosis. Consequently, at higher latitudes, the organic cultural heritage repeatedly experienced large T fluctuations, and the risk of physical and chemical degradation of the materials was greater. However, the RH showed significant seasonal differences, even within the same latitude, indicating that the impact of latitude was not significant. Therefore, the staff in charge must manage RH by considering the surrounding environmental conditions and adjusting the internal environment of the structures. The PI values for the year-round T and RH inside the heritages were confirmed to only be a maximum of approximately 60% of the environmental suitability for conservation throughout the year, depending on the season. The relationship between the germination and growth potential period of xerophilic fungi and the monthly internal temperature and humidity in five heritages located at different latitudes was analyzed. As a result, we could thus determine that four particular months of the year (June-September) represent the periods with the highest risk of damage from xerophilic fungi in the country, regardless of latitude.

• 보존과학회지
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• 제33권3호
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• pp.189-201
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• 2017

본 연구는 가야시대 고분인 고령 고아리 벽화고분을 대상으로 하였다. 고분의 보존환경 연구를 위해 고분의 환경(온습도, 표면온도, 결로)과 생물(미생물 분포) 모니터링을 1년간 실시하였다. 그 결과, 고분 내외부의 연평균 온도차는 $11.7^{\circ}C$로 확인되었고 고분 내부의 온도는 외부 온도와 1~2개월 격차로 변화되고 있었다. 고분 내 최고 온도는 9월, 최저 온도는 3월이었고 상대습도는 약 100%로 유지되었다. 결로의 경우 벽화가 그려진 고분 현실의 천장에는 4월부터 12월까지 결로가 발생하였고, 연도 천장에는 1년 내내 결로가 발생하였다. 고분 내부와 벽체 표면에서는 미생물이 분리 배양되어 미생물 생장에 적합한 환경이 조성되면 생장가능 할 것으로 판단된다. 따라서 미생물 생장 온도 조건을 기준으로 미생물 발생 위험 예측도를 작성하였고 8월부터 10월이 위험 기간으로 확인되었다.

• 한국농공학회논문집
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• 제64권6호
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• pp.65-75
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• 2022

Livestock industry in Korea has been growing rapidly and has reached 23 trillion Korean won in 2021. This study focuses on broiler, which is one of the largest sectors in livestock industry. As the effects of climate change get more serious, primary industry such as livestock industry is fragile to climate change since it directly interacts with nature. Therefore, maintaining suitable rearing environment is important. One of the most frequently used ventilation type for controlling the rearing environment of broiler house, tunnel ventilation, causes frequent air velocity fluctuation which makes maintaining the rearing environment important. By measuring the air temperature, relative humidity and air velocity in various points inside the broiler house, the internal thermal environment uniformity was analyzed according to length, width and zone. The experimental house was found to have dead zone with high air temperature, relative humidity and low air velocity near the end of the inlet and at the end of the broiler house. By using heat stress index to analyze quantitatively, zone with highest heat stress index was found to increase by 7.55% compared to the lowest zone. As a result, to maintain uniform rearing environment inside the broiler house, different factors must be measured and analyzed and used to operate the environmental control facilities.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2009년도 추계학술대회 논문집
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• pp.77-79
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• 2009

The paper is to evaluate for reliability of 4W LED Lamp using internal converter by ALTs(Accelerated Life Tests). The recently, some of KS were established by law of LED Modules for Lighting(KS C 7651, 7652, 7653, 7655, 7656, 7657, 7658 and 7659), but reliability assessment methods of LED Lamps had not been established. Therefore, the paper aided companies to perform accelerated life testing(temperature 60 $^{\circ}C$, humidity 90 %) for themselves.

• 동국한의학연구소논문집
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• 제5권
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• pp.273-280
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• 1996

This study is to know the relation between the symptom of Vinyl House disease and seo-byung of oriental medical. The results are summarised as follows, 1. One of the pathogenic factors of Vinyl house disease is the environtal of high temperature and humidity,that is coincident with seo-byung's pathogenic factors. 2. The most common symptoms of Vinyl house disease are heaedache, sweating, dizziness, weightloss, fatigue, nausea, vomiting, numbed limb, breathless etc. that are included in seo-byung's symptoms. 3. Vinyl house disease belong to the category of the seo-byung of oriental medical. In concrete term, Vinyl house disease is come under chronic seo-byung or symptomic seo-byung.

• 한국버섯학회지
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• 제15권1호
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• pp.14-20
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• 2017

버섯의 단위면적당 생산량을 증대시키기 위하여 다단으로 재배되는 버섯재배사는 재배균상이 내부공기의 유동을 막는 장애물로 작용하여 균상의 아래쪽과 위쪽간의 환경차이가 발생한다. 이러한 환경차이 때문에 버섯재배 균상의 위치에 따른 생육차이가 발생한다. 본 연구에서와 같이 버섯재배사 내부에서 버섯이 생육되지 않는 작업통로의 상단에 천장방향으로 대류팬을 설치하여 운용하면 재배사 내부의 공기를 전체적으로 균일하게 유지할 수 있는 것으로 나타났다. 다만, 버섯재배사 내부에 설치된 각종 환경조절장치 즉 유니트쿨러, 입기팬, 배기팬, 대류팬, 가습기 등이 모두 한꺼번에 가동될 때는 버섯재배 균상위의 RMS 값이 속도 23.86%, 온도 6.08%, 습도 2.72%로 나타났다. 하지만 유니트쿨러와 대류팬이 가동될 때는 균상위의 RMS 값이 속도 23.54%, 온도 0.51%, 습도 0.41%로 나타났다. 따라서 버섯재배사의 환경조절을 위한 입기팬, 배기팬과 가습기는 용량이 큰 것을 설치하여 전체적인 가동시간을 줄이고, 유니트쿨러와 대류팬을 조합한 환경관리 방법이 내부 환경의 균일성 향상에 큰 도움이 될 것으로 판단된다.

• 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.