• Journal of Climate Change Research
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• v.3 no.2
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• pp.89-100
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• 2012

This study analyzes spatio-temporal variability of discomfort index for summer the during the past ten years(2001~2010) in the Korean Peninsula, and considers the application possibility of discomfort index as a preliminary data for various phenomenon of society based on the analysis. Discomfort index defined as daily representative value was estimated using hourly temperature and humidity data which are observed 60 weather stations managed by Korea Meteorological Administration. The result indicates that the discomfort index in summer keeps the level at which one feels unpleasant, and the level increased steadily as temperature is rising. And discomfort index in 3 pm and on August are the highest during the day and year. Gangwon-do have shown the lowest discomfort index among the provinces. Variability analysis of discomfort index due to climate changes can be used for making policies in various fields such as industry and public health field.

• Convergence Security Journal
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• v.14 no.6_2
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• pp.89-95
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• 2014

This study analyzed a correlation between crime and meteorological changes and discomfort index of Seoul and p resented a prediction expression through the regression analysis. For data used in this study, crime data from Januar y 2008 to December 2012 of Seoul Metropolitan Police Agency and meteorological records and discomfort index recor ded in the Meteorological Agency through the portal sites were used. Based on this data, SPSS 18.0 was used for the regression analysis and the analysis of correlation between crime and meteorological changes and discomfort index and a prediction expression was derived through the analysis and the risk index was shown in 5 steps depending on predicted values obtained through the prediction expression derived. The risk index of 5 steps classified like this is considered to be used as important data for crime prevention activities.

• Journal of Industrial Convergence
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• v.18 no.4
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• pp.61-66
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• 2020

Recently, attempts have been made to use data to operate games, seasons, and teams in professional baseball. Therefore, in this study, we collected baseball game records and analyzed the relationship between on-base rate and pitching count induction, and this was defined as the third record for non-game factors such as discomfort index, which includes the weather application data. When the discomfort index was over 75, the pitcher's induction of pitching was high, and when the discomfort index was less than 69.9, the on-base rate was high, but when the discomfort index was 70 or more and less than 75, the batter's on-base performance was the lowest. Through the results of the study, it could be inferred that the discomfort index, the batter's on-base rate, and the number of induction pitches are related, and that it is highly likely to be related to the pitcher's performance. Through this study, we could see the possibility of defining a cumulative/ratio record defined as the primary record and a saver metric defined as the secondary record, and a third, tertiary record linking data outside the game.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.39-40
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• 2017

High temperatures and humidity in summer strongly affect conditions of construction workers. These could lead to safety accidents and results in fatal accidents. This study, based on 3 years of weather and fatal accident data, explains the association between fatal accidents in summer and discomfort index and proposes management directions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.978-984
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• 2020

In this study, the correlation between sports records and weather data was analyzed using the big data analysis method. To this end, data was collected by API and crawling, data was processed, statistics were performed, and data visualization was performed. The subject of this study was a player who entered the regular at-bat among outfielders in the 2019 KBO League. In addition, meteorological data were analyzed by using the unpleasant index and above 70 and below 70. As a result of the study, in the various hitting indicators, which are the records that pitchers intervene, the higher the unpleasant index, the better the outfielder's record, but pitchers, walks, pitches, pitching success rates, pitches per turn, pitches per game From the records of the back, it was found that the outfielder made the pitcher difficult. It is expected that this study will help the development of the sports data industry and the performance of baseball players, baseball teams, and coaching staff.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.645-650
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• 2017

It is a system that controls temperature, humidity and fine-dust to make interior environment more comfortable for modern people who spend 90% of the time in indoor. In an experiment of finding which one of temperature and humidity influence more to discomfort index, for a fixed temperature of 21, discomfort index increased by 0.1 with a 1 change of humidity, and for a fixed humidity of 40, discomfort index increased by 1.2 with a 1 change of temperature. As a result, it was found that the temperature is more influential than the humidity to discomfort index. In an experiment of measuring communicational limitation of Bluetooth, the communication was possible for at most 30 meters without obstacles. With high obstacles like walls or steel bars, it was able to penetrate at most 2 obstacles and maximum distance which it can communicate was 10 meters for just one high molecule obstacle.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.237-238
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• 2021

야구는 데이터 스포츠라 불릴 만큼 경기마다 많은 데이터가 생성되며, 이를 바탕으로 경기를 진행한다. 본 연구는 한국 프로야구 구단인 한화 이글스의 승률 및 타자의 성적과 날씨 사이의 상관관계를 분석하였다. 이를 위하여 한화 이글스의 승률과 타자의 성적을 한국프로야구(KBO) 공식 홈페이지 및 야구 기록 통계사이트 스탯티즈(statiz)에서 수집하였으며, 날씨 데이터는 온도와 습도를 고려한 불쾌지수 데이터를 기상청으로 부터 수집하였다. 파이선의 pandas 라이브러리를 사용하여 데이터 전처리를 실행하였다. 이후 파이선의 matplotlib 라이브러리를 이용하여 데이터 분석 및 시각화를 진행하였다. 본 연구의 분석 결과로는 불쾌지수가 보통일 때 승률이 가장 크고 높음일 때 가장 낮음을 확인할 수 있었다. 또한, 타자들의 평균 성적을 분석한 결과 보통과 매우 높음은 전체적인 타격 지수가 비슷하나 높음일 때 부진한 것으로 나왔다.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1601-1607
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• 2016

Recently, weather information has been increasingly used in various area. This study presents the necessity of hourly weather information for electricity demand forecasting through correlation analysis and multivariate regression model. Hourly weather data were collected by Meteorological Administration. Using electricity demand data, we considered TBATS exponential smoothing model with a sliding window method in order to forecast electricity demand. In this paper, we have shown that the incorporation of weather infromation into electrocity demand models can significantly enhance a forecasting capability.

• 건강소식
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• v.38 no.8
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• pp.8-9
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• 2014

무더위에 높은 습도까지 겹친 날씨가 지속되면 쉽게 짜증이 날 뿐만 아니라 우리 몸에 부정적인 증상들이 나타나기 시작한다. 몸이 나른해지고 입맛이 떨어지며 심한 경우 대사기능에 불균형이 발생하기도 한다. 폭염과 불쾌한 습도에 현명하게 대처하고 건강까지 지켜내는 방법에는 무엇이 있을까?

• Proceedings of the KGS Conference
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• 2003.11a
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• pp.49-53
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• 2003

기후에 대한 인간의 체감 정도는 "춥다", "덥다"의 정도를 구분하지만 이것이 반드시 기온과 일치하는 것은 아니다. 즉, 습도가 높을 때는 기온이 높지 않아도 더위를 느끼고, 강한 바람이 불 때는 기온이 낮지 않아도 추위를 느낄 수 있다. 국내의 생리기후에 대한 연구는 불쾌지수, apparent temperature, heat index, 윈드칠 지수 등과 같이 지역의 특성을 고려하지 않은 절대적 기준에 의한 지수가 대부분이다.(이와 전, 1982; 윤과 봉, 1987; 최광용 외, 2002.). (중략)