• 대한원격탐사학회지
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• 제10권1호
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• pp.55-67
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• 1994

The International TOVS(TIROS Oprational Vertical Sounders) Process Package(ITPP-VI)is for a global usage, which needs a surface data to generate atmospheric soundings. If the initial input process in the ITPP-VI is not modified, it takes climatic surface data for producing sounding data in general. Korea Meteorological Administration(KMA) is trying to improve the quality of TOVS sounding data using real-time synoptic observations and make a use weather prediction and analysis in various ways. Serval cases in this study show that TOVS retrieved meteolorogical parameters such as atmopheric temperature, dew point depression and geopotential heights used by synoptic surface observations can delineate more detailed atmospheric feature rather than those used by climate surface data. In addition, the collocated comparisons of TOVS synoptic retrieved parameters with radiosonde observations are performed statistically. TOVS retrieved fields with the synoptic surface analyzed data show smaller bias reatively than those with the climatic data and also reduced root mean square differences below 700 hPa as expected.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2012년도 학술발표회
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• pp.336-339
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• 2012

Accurate forecasting of pan evaporation (PE) is very important for monitoring, survey, and management of water resources. The purpose of this study is to develop and apply Kohonen self-organizing feature maps neural networks model (KSOFM-NNM) to forecast the daily PE for the dry climate region in south western Iran. KSOFM-NNM for Ahwaz station was used to forecast daily PE on the basis of temperature-based, radiation-based, and sunshine duration-based input combinations. The measurements at Ahwaz station in south western Iran, for the period of January 2002 - December 2008, were used for training, cross-validation and testing data of KSOFM-NNM. The results obtained by TEM 1 produced the best results among other combinations for Ahwaz station. Based on the comparisons, it was found that KSOFM-NNM can be employed successfully for forecasting the daily PE from the limited climatic data in south western Iran.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2006년도 한국약용작물학회 공동춘계학술발표회
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• pp.478-479
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• 2006

• 한국농촌건축학회논문집
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• 제2권2호
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• pp.1-10
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• 2000

The traditional farm houses in Yongdong area of Kangwon province have a different spatial structure from those of the other areas because of the characteristics of the climatic, geographic and sociocultural circumstances between the Taebaek mountains and the East Sea. So the purpose of this study is aimed at grasping how the spatial features of traditional farm houses in Yongdong area have been different in each regional circle. The plans of traditional farm houses of this region which are four types - ㅡ typed house without floor, ㅡ typed house with floor, ㄱ typed house without floor, ㄱ typed house with floor - show very similar but different space arrangements.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.305-307
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• 2005

In the cold and temperate regions of Korea the icing and ice coats on 25[kV] electric car line during winter is a very serious problem. This generates shocks at the mechanical interface of the collecting strips of the pantograph and the contact wire and extra electrical resistance, which may affect quality of current collection at the contact wire / collecting strips of pantograph interface. De-icing operations should be performed just before train operation to avoid the formation of another ice layer. This paper presents temperature analysis of the de-icing system which could be applied to the electric car line of railways.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.131-138
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• 2022

Novel Coronavirus (COVID-19) is viewed as one of the main general wellbeing theaters on the worldwide level all over the planet. Because of the abrupt idea of the flare-up and the irresistible force of the infection, it causes individuals tension, melancholy, and other pressure responses. The avoidance and control of the novel Covid pneumonia have moved into an imperative stage. It is fundamental to early foresee and figure of infection episode during this troublesome opportunity to control of its grimness and mortality. The entire world is investing unimaginable amounts of energy to fight against the spread of this lethal infection. In this paper, we utilized machine learning and deep learning techniques for analyzing what is going on utilizing countries shared information and for detecting the climate factors that effect on spreading Covid-19, such as humidity, sunny hours, temperature and wind speed for understanding its regular dramatic way of behaving alongside the forecast of future reachability of the COVID-2019 around the world. We utilized data collected and produced by Kaggle and the Johns Hopkins Center for Systems Science. The dataset has 25 attributes and 9566 objects. Our Experiment consists of two phases. In phase one, we preprocessed dataset for DL model and features were decreased to four features humidity, sunny hours, temperature and wind speed by utilized the Pearson Correlation Coefficient technique (correlation attributes feature selection). In phase two, we utilized the traditional famous six machine learning techniques for numerical datasets, and Dense Net deep learning model to predict and detect the climatic factor that aide to disease outbreak. We validated the model by using confusion matrix (CM) and measured the performance by four different metrics: accuracy, f-measure, recall, and precision.

• 한국컴퓨터정보학회논문지
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• 제28권7호
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• pp.57-65
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• 2023

쌀 생산량 예측의 정확성을 높이기 위한 대다수의 연구는 모델의 정확도 증진에 초점이 맞춰져 있다. 이에 비해, 예측 모델을 적용할 대상 데이터 자체에 관한 연구는 상대적으로 미흡하다. 쌀 생산량 데이터에 동일한 종속변수와 예측 모델을 사용하여 다른 특성들로 구성된 두 부류의 데이터에 적용하면, 결과의 차이가 발생하는데 이때 어느 데이터 셋이 더 우수한지 판단하기는 어려운 일이다. 이러한 문제를 해결하기 위해, 예측 모델 적용 전에 데이터 내에서 예측 결과에 큰 영향을 미칠 가능성이 있는 특성들을 선별하고, 이를 중심으로 모델링을 수행하면, 데이터의 구성이 다르더라도 안정적인 예측 결과를 얻을 수 있을 것이다. 본 연구에서는 기상청의 종관기상관측(ASOS) 데이터를 활용하여, 쌀 생산량의 안정적이고 일관된 예측을 위해 데이터 구성 특성들의 조정을 통해 최적의 기반 변수를 선별하는 방법에 대해 제안한다. 본 연구의 결과는 향후 다른 연구에서 성능평가의 유용성을 높이는 데 기여할 것으로 기대한다.

• 한국약용작물학회지
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• 제15권4호
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• pp.261-265
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• 2007

인삼재배가 가능한 임간의 기후적 특성과 임간재배지내에서의 병해충 발생상황 및 생육상황을 관행재배지와 비교해본 결과는 다음과 같다. 가. 임간재배지의 온도는 관행재배지보다 $1^{\circ}C$ 정도 낮고 습도는 2% 정도 높았으며 토양온도는 $1.9^{\circ}C$ 낮고 토양수분도 11.8%가 낮았다. 임간재배지의 풍속은 관행재배지보다 3배 정도 늦었으며 결로시간은 3.3시간 긴 것으로 나타났다. 특히 일사량은 현저히 부족하였고 강우량도 약간 부족한 것으로 나타났으나 큰 차이는 없었다. 나. 2003년이 2004년과 2005년보다 병해의 발생이 많았고 임간재배지에서의 병해발생이 관행재배지보다 심하였다. 때문에 8월 중순경에 지상부가 거의 다 고사되었다. 임간재배지의 주요 병해충으로는 탄저병, 점무늬병 및 뿌리썩음병이었고, 관행재배지는 위의 병해와 잿빛곰팡이병의 발생이 주를 이루는 것으로 나타났다. 해충으로는 잎별레와 나방류가 가해하는 것으로 조사되었다. 3년근의 생육상황을 비교한 결과 임간재배지에서 자란 인삼의 생육상황이 전반적으로 50% 이상 불량하였고 특히 근중은 87.2% 정도 가벼운 것으로 나타났다.

• KIEAE Journal
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• 제15권6호
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• pp.93-100
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• 2015

Purpose: Ballparks of KBO which were built by local governments and operated for baseball game-centered have been required more sustainable development according to going into low growth phase in Korea recently. MLB ballparks with the teams having 100 year old tradition have been sustainable-developed economically, socially, environmentally and culturally. This research is to study the characteristics of cultural sustainability in architectural design of 30 MLB parks. Method: To begin with comparison analysis of usage rate of 10 ballparks of KBO with 30 ballparks of MLB, and architectural designs of facades, fields, accommodations, sculptures, greens, roof gardens, etc. are analyzed in the MLB ballpark. And finally, the characteristics of cultural sustainability in the architectural design are analyzed. Result: MLB ballparks have played role as core-space of urban community, accumulated space of citizens' memory being originated in natural climatic feature of region, historical image of city and tradition of home-ballpark. A basis of these characteristics could is nature of cultural sustainability, that is to say local community, historical restoration, social solidarity.

• 한국농공학회논문집
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• 제59권3호
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• pp.21-28
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• 2017

The main goal of this paper is to assess application of UAV (Unmanned Aerial Vehicle) remote sensing and GIS based images in detection and measuring of rice field drought area in South Korea. Drought is recurring feature of the climatic events, which often hit South Korea, bringing significant water shortages, local economic losses and adverse social consequences. This paper describes the assesment of the near-realtime drought damage monitoring and reporting system for the agricultural drought region. The system is being developed using drought-related vegetation characteristics, which are derived from UAV remote sensing data. The study area is $3.07km^2$ of Wonbuk-myeon, Taean-gun, Chungnam in South Korea. UAV images were acquired three times from July 4 to October 29, 2015. Three images of the same test site have been analysed by object-based image classification technique. Drought damaged paddy rices reached $754,362m^2$, which is 47.1 %. The NongHyeop Agricultural Damage Insurance accepted agricultural land of 4.6 % ($34,932m^2$). For paddy rices by UAV investigation, the drought monitoring and crop productivity was effective in improving drought assessment method.