• Journal of Biosystems Engineering
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• 제42권1호
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• pp.23-43
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• 2017

Purpose: As application-specific wireless sensor networks are gaining popularity, this paper discusses the development and field performance of the GHAN, a greenhouse area network system to monitor, control, and access greenhouse microenvironments. GHAN, which is an upgraded system, has many new functions. It is an intelligent wireless sensor and actuator network (WSAN) system for next-generation greenhouses, which enhances the state of the art of greenhouse automation systems and helps growers by providing them valuable information not available otherwise. Apart from providing online spatial and temporal monitoring of the greenhouse microclimate, GHAN has a modified vapor pressure deficit (VPD) fuzzy controller with an adaptive-selective mechanism that provides better control of the greenhouse crop VPD with energy optimization. Using the latest soil-matrix potential sensors, the GHAN system also ascertains when, where, and how much to irrigate and spatially manages the irrigation schedule within the greenhouse grids. Further, given the need to understand the microclimate control dynamics of a greenhouse during the crop season or a specific time, a statistical assessment tool to estimate the degree of optimality and spatial variability is proposed and implemented. Methods: Apart from the development work, the system was field-tested in a commercial greenhouse situated in the region of Punjab, India, under different outside weather conditions for a long period of time. Conclusions: Day results of the greenhouse microclimate control dynamics were recorded and analyzed, and they proved the successful operation of the system in keeping the greenhouse climate optimal and uniform most of the time, with high control performance.

• Journal of Ginseng Research
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• 제40권1호
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• pp.90-96
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• 2016

Background: Knowledge on microclimate conditions under artificial shades in a ginseng field would facilitate climate-aware management of ginseng production. Methods: Weather data were measured under the shade and outside the shade at two fields located in Gochang-gun and Jeongeup-si, Korea, in 2011 and 2012 seasons to assess temperature and humidity conditions under the shade. An empirical approach was developed and validated for the estimation of leaf wetness duration (LWD) using weather measurements outside the shade as inputs to the model. Results: Air temperature and relative humidity were similar between under the shade and outside the shade. For example, temperature conditions favorable for ginseng growth, e.g., between $8^{\circ}C$ and $27^{\circ}C$, occurred slightly less frequently in hours during night times under the shade (91%) than outside (92%). Humidity conditions favorable for development of a foliar disease, e.g., relative humidity > 70%, occurred slightly more frequently under the shade (84%) than outside (82%). Effectiveness of correction schemes to an empirical LWD model differed by rainfall conditions for the estimation of LWD under the shade using weather measurements outside the shade as inputs to the model. During dew eligible days, a correction scheme to an empirical LWD model was slightly effective (10%) in reducing estimation errors under the shade. However, another correction approach during rainfall eligible days reduced errors of LWD estimation by 17%. Conclusion: Weather measurements outside the shade and LWD estimates derived from these measurements would be useful as inputs for decision support systems to predict ginseng growth and disease development.

• 인간식물환경학회지
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• 제23권3호
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• pp.347-362
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• 2020

Background and objective: It is difficult to conclusively determine the exact cause of tree defects since multiple causes are involved such as climate change, plantation, tree quality and planting time, construction, planting base, drainage, sunshine conditions, maintenance, and microclimate. The data related to landscaping construction defects are scattered or fragmented by companies and years, but not managed systematically by the defect information management system. Most of the earlier studies associated with tree defects in apartment complexes suggested defect rates after examining tree defects in the completed construction site and proposed fragmentary and subjective conclusions about the causes of defects observed in trees with high defect rates. It is proposed to continue to conduct studies on the establishment and analysis of systematic databases to identify the exact causes of tree defects and measures to improve, and the need to accumulate systematic data in the construction process where many defects arises. This study was conducted to reduce the defects of trees planted in apartment complexes. Methods: Main factors related to tree defects were subdivided based on the results of literature review and a defect investigation at the completion site, and tree history management items were selected and subdivided during the construction stage. Results: The criteria for the preparation of subdivided items were obtained, and the tree history management checklist was written for the site under actual construction and a systematic database was established. Items that are categorized based to the causes of defects include the location of nurseries, date, tree quality, site conditions, planting techniques, microclimates, and maintenance. Conclusion: This study suggested tree history management items based on the tree defects that can be identified at the construction stage and applied them to the selected study site, which differentiates this study from earlier studies. It will be necessary to conduct a comprehensive and objective time series analysis on tree defects that occur over time by continuously monitoring and collecting data after construction.

• Advances in Computational Design
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• 제3권4호
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• pp.319-338
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• 2018

High-performing architecture should be designed by taking into account the mutual dependency between the new building and the local context. The performative architecture plays an important role to avert any unforeseen failures after the building has been built; particularly ones related to the microclimate impacts that affect the human comfort. The use of the concept of solar envelopes helps designers to construct the developable mass of the building design considering the solar access and the site obstruction. However, the current analysis method using solar envelopes lack in terms of integrating the detailed information of the existing context during the simulation process. In architectural design, often the current site modelling not only absent in preserving the complex geometry but also information on the surface characteristics. Currently, the emerging applications of point clouds offer a great possibility to overcome these limitations, since they include the attribute information such as XYZ as the position information and RGB as the color information. This study particularly presents a comparative analysis between the manually built 3D models and the models generated from the point cloud data. The modelling comparisons focus on the relevant factors of solar radiation and a set of simulation to calculate the performance indicators regarding selected portions of the models. The experimental results emphasize an introduction of the design approach and the dataset visibility of the 3D existing environments. This paper ultimately aims at improving the current architectural decision of support environment means, by increasing the correspondence between the digital models for performance analysis and the real environments (context of design) during the conceptual design phase.

• Ecology and Resilient Infrastructure
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• 제7권1호
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• pp.43-52
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• 2020

본 연구는 컴퓨터 모델링의 결과를 실측자료 보정없이 이용하였을 때의 문제점을 조사하기 위해, 작은 도시공원을 대상으로 실측자료와 컴퓨터 모델링 결과를 비교 분석하여 보았다. 컴퓨터 모델링 결과는 실측자료에 비해 미기후 요소인 기온과 풍속에서는 과소예측을 보였으며, 상대습도와 평균복사온도에서는 과대예측을 하는 것으로 나타났다. 그 차이는 인간 열환경지수인 PMV와 UTCI에서 최대 2.3 PMV와 4℃ UTCI의 차이를 보였다. 그러므로, 인간 열환경지수 (열쾌적성) 연구에서 컴퓨터 모델링을 이용할 때는 반드시 실측자료를 이용한 결과보정 과정을 거쳐 도시와 조경계획 및 디자인에 적용되어야 할 것이다.

• 고려인삼학회:학술대회논문집
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• 고려인삼학회 1988년도 학술대회지
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• pp.129-132
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• 1988

인삼은 한국, 일본, 소련, 북미에서 재배되고 있다. 이들 생산지역의 미세기상을 각각 조사해 보면, 인삼의 생육에 필요한 필수조건을 갖고 잇으며 각 지역에 따라 미세기상은 다른 방법으로 조절되고 있다, 한국, 중국에서의 최근연구자료를 비교해 보면 인삼생산에 맞는 여러가지 미세기상 조건들을 구명 할 수 있을 것이며, 여러가지 해가림 재료에 따른 일광차단에 관한 연구도 미세기상 조건구명의 한가지 방법이 되고 있다. 북미에서는 나무와 polypropylene 해가림 재료가 사용되지만, 중국에서는 마른 풀을 엮은 이엉사이에 polyvinylchloride film을 넣어 해가림을 한다. 이러한 해가림 재료들이 인삼생육과 수량에 미치는 효과는 뿌리생육에 있는 것 같으며, 생육기간 중 대부분 뿌리의 생육 적온에 미치지 못하고 있다. 년근별 생육자료를 분석해 보면, 근권의 토양온도가 지상부와 뿌리의 건물 분배에 미치는 효과를 구명하는데 유용할 것이다.

• 한국환경생태학회지
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• 제34권4호
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• pp.294-303
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• 2020

본 연구는 경남지역 내 소나무 장령림이 안정적으로 생육하고 있는 사찰 소나무림을 대상으로 온도 및 습도의 미기상 변화 특성과 식생분포특성을 비교하여 소나무장령림의 미기후 조절정도를 살펴보고자 하였다. 연구는 국내에서 소나무 장령림의 안정적 생육지로 알려진 합천 해인사, 부산 범어사, 양산 통도사 및 경주 불국사 일대 소나무림을 대상으로 하였다. 식생분포 현황 분석결과 이들 소나무림은 알려진 바와는 달리 소나무림의 면적비율이 월등히 높지는 않았는데, 통도사 주변을 제외하면 소나무림보다 낙엽활엽수림 및 혼효림의 우점비율이 훨씬 높게 나타나고 있었다. 미기상데이터 측정 결과 통도사는 다른 세 지역과는 달리 미기후 특성이 크게 차이가 있었는데, 다른 세 지역의 경우 온도 및 습도의 일교차가 상대적으로 적은 반면 통도사는 일교차가 크게 나타나는 현상을 보였다. 이는 통도사 주변 숲이 개발지를 제외하면 대부분 소나무림인 반면, 다른 세 지역은 낙엽활엽수림의 우점비율이 높은데 기인하는 것으로 판단된다. 소나무림의 적극적 관리는 온도상승과 공중습도의 감소에 효과적이지 않은 만큼 현재 양산 통도사 주변 소나무림과 같이 소나무 단순림으로의 적극적인 관리는 오히려 온도와 습도 스트레스 측면에서 부정적 영향이 더욱 큰 것을 확인할 수 있었다. 소나무림의 미기후 완화 효과 증대를 위해서는 숲 관리의 새로운 전환이 필요한 것으로 판단된다.

• 한국조경학회지
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• 제43권5호
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• pp.55-64
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• 2015

본 연구는 쾌적성을 증진시킬 수 있고, 인간의 건강에 긍정적인 영향을 미칠 수 있는 음이온을 평가인자로 설정하고, 학교별 녹지특성 및 배치, 기상요소를 구분하여 음이온 발생에 효과적인 학교숲 조성모델을 제시하고, 더 나아가 도시녹지 조성에 대한 기초자료로 제공하고자 하였다. 연구결과, 음이온의 경우 식재구조에 따라 차이가 있으며, 단층구조($934ea/cm^3$) > 다층구조($794ea/cm^3$) > 잔디($553ea/cm^3$) > 나지($529ea/cm^3$)의 순으로 분석되었다. 또한 기상요소와의 상관성의 경우, 기온과 부의 상관관계인 것으로 분석되었다. 분산분석 및 사후분석 결과, 식재구조의 차이에 따른 음이온발생량은 통계적으로 차이가 있는 것으로 분석되었다. 녹지구조에 따른 음이온농도의 차이는 다층구조보다 단층구조에서 더 높은 것으로 분석되었다. 이는 다층구조에서 단층구조보다 기온이 더 높게 측정되었는데, 선행연구 고찰결과, 음이온 발생원에서 일정거리 이내에서는 기온이 높을수록 음이온 농도가 낮아지기 때문인 것으로 사료되었다. 또한 풍속이 다층구조 식재구조보다 단층구조 식재구조에서 더 높게 측정되었는데, 음이온의 확산에 있어 단층구조 식재구조가 다층구조 식재구조에 비하여 수목에 의한 바람의 차폐가 상대적으로 덜 이루어져 음이온의 발생과 확산이 더 유리할 것으로 사료되었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.183-183
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• 2021

Deep learning methods and their application have become an essential part of prediction and modeling in water-related research areas, including hydrological processes, climate change, etc. It is known that application of deep learning leads to high availability of data sources in hydrology, which shows its usefulness in analysis of precipitation, runoff, groundwater level, evapotranspiration, and so on. However, there is still a limitation on microclimate analysis and prediction with deep learning methods because of deficiency of gauge-based data and shortcomings of existing technologies. In this study, a real-time rainfall prediction model was developed from a sky image data set with convolutional neural networks (CNNs). These daily image data were collected at Chung-Ang University and Korea University. For high accuracy of the proposed model, it considers data classification, image processing, ratio adjustment of no-rain data. Rainfall prediction data were compared with minutely rainfall data at rain gauge stations close to image sensors. It indicates that the proposed model could offer an interpolation of current rainfall observation system and have large potential to fill an observation gap. Information from small-scaled areas leads to advance in accurate weather forecasting and hydrological modeling at a micro scale.

• 한국의류산업학회지
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• 제2권4호
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• pp.346-352
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• 2000

The purposes of this study are finding out thermophysiological properties throughout wearing experiment with standard cooling vest as well as providing data in order to design and apply more comfortable cooling vest. To do this study, we produced cooling vest newly. 1. Rectal temperature was ascended approximately from $37.2^{\circ}C$ to $38.05^{\circ}C$ in lab, but wearing cooling vest, the temperature was descended 0.2 while wearing developed product compare with existing product. Mean skin temperature which was showed distribution from $32.8{\sim}36.5^{\circ}C$, it was descended $1.0{\sim}1.1^{\circ}C$, while wearing cooling vest and comparing with existing product, wearing developed product was lower $0.5^{\circ}C$. 2. While wearing developed cooling vest, it was found that they had lower tendency than standard cooling vest. Specifically in case of temperature within clothing (chest) $0.2{\sim}2.0^{\circ}C$ in case of humidity within clothing 2~8%RH. Facts from above we confirmed that clothing microclimate had been improved and space was happened between body and garment in order to control. 3. In subjective sensation, standard cooling vest made negative response during experiment period from participants, but new cooling vest was nearing to comfortable area. It was con finned from above conclusions that wearing developed product is more effective in terms of comfort and reduction of heat stress in situation of working in hot environment.