• 제목/요약/키워드: Life Weather Index

검색결과 25건 처리시간 0.027초

웨어러블 기반의 스마트 모자를 이용한 생활기상지수 모니터링 시스템 (Life Weather Index Monitoring System using Wearable based Smart Cap)

  • 전인자;정경용
    • 한국콘텐츠학회논문지
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    • 제9권12호
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    • pp.477-484
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    • 2009
  • 스마트 의류가 고객 중심으로 다변화 되어가는 생활환경 속에서 날씨정보를 제공하는 것은 서비스 전략의 중요한 성공요소가 되고 있다. 최근에는 스마트 의류의 다양한 어플리케이션이 연구자와 개발자에 의해 제시되고 있다. 그 중 센서 기반의 스마트 의류는 시장에서 가장 수요가 높을 것으로 기대된다. 본 논문에서는 웨어러블 기반의 스마트 모자를 이용한 생활기상지수 모니터링 시스템을 제안하였다. 제안된 스마트 모자를 착용하여, 기상상태를 수집하고 신호를 UMPC로 무선 전송되어 이를 실시간으로 모니터링 할 수 있도록 고안하였다. 센서에 따른 생활기상지수를 제공하기 위해서, 기상지수를 6가지 요소(열지수, 식중독지수, 불쾌지수, 자외선지수, 체감온도지수, 동파가능지수)에 따라 분석하였다. 생활기상지수 모니터링 시스템을 개발하여 논리적 타당성과 유효성을 검증하기 위해 실험적인 적용을 시도하고자 한다. 따라서 스마트 의류에서 서비스의 만족도와 질을 향상시켰다.

실시간 기상 및 대기 데이터를 활용한 도시안전서비스 시스템 설계 및 구현 (Design and Implementation of an Urban Safety Service System Using Realtime Weather and Atmosphere Data)

  • 황현숙;서영원;전태건;김창수
    • 한국멀티미디어학회논문지
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    • 제21권5호
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    • pp.599-608
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    • 2018
  • As natural disasters are increasing due to the unusual weather and the modern society is getting complicated, the rapid change of the urban environment has increased human disasters. Thus, citizens are becoming more anxious about social safety. The importance of preparation for safety has been suggested by providing the disaster safety services such as regional safety index, life safety map, and disaster safety portal application. In this paper, we propose an application framework to predict the urban safety index based on user's location with realtime weather/atmosphere data after creating a predication model based on the machine learning using number of occurrence cases and weather/atmosphere history data. Also, we implement an application to provide traffic safety index with executing preprocessing occurrence cases of traffic and weather/atmosphere data. The existing regional safety index, which is displayed on the Si-gun-gu area, has been mainly utilized to establish safety plans for districts vulnerable to national policies on safety. The proposed system has an advantage to service useful information to citizens by providing urban safety index based on location of interests and current position with realtime related data.

수문기상가뭄지수 (HCDI) 개발 및 가뭄 예측 효율성 평가 (Development of Hydroclimate Drought Index (HCDI) and Evaluation of Drought Prediction in South Korea)

  • 류재현;김정진;이경도
    • 한국농공학회논문집
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    • 제61권1호
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    • pp.31-44
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    • 2019
  • The main objective of this research is to develop a hydroclimate drought index (HCDI) using the gridded climate data inputs in a Variable Infiltration Capacity (VIC) modeling platform. Typical drought indices, including, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and Self-calibrated Palmer Drought Severity Index (SC-PDSI) in South Korea are also used and compared. Inverse Distance Weighting (IDW) method is applied to create the gridded climate data from 56 ground weather stations using topographic information between weather stations and the respective grid cell ($12km{\times}12km$). R statistical software packages are used to visualize HCDI in Google Earth. Skill score (SS) are computed to evaluate the drought predictability based on water information derived from the observed reservoir storage and the ground weather stations. The study indicates that the proposed HCDI with the gridded climate data input is promising in the sense that it can help us to predict potential drought extents and to mitigate its impacts in a changing climate. The longer term drought prediction (e.g., 9 and 12 month) capability, in particular, shows higher SS so that it can be used for climate-driven future droughts.

수용성(水溶性) 아크릴 수지(樹脂)의 자외선(紫外線) 흡수제(吸收劑)와 HALS 첨가(添加)가 일본잎갈나무의 변색(變色)에 미치는 영향(影響) (Effects of UV Absorber and HALS(Hindered Amine Light Stabilizer) Addition in Water-soluble Acrylic Resin on Discoloration of Larix leptolepis (S. et Z.) Gordon)

  • 강경택;이필우
    • Journal of the Korean Wood Science and Technology
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    • 제24권4호
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    • pp.47-55
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    • 1996
  • UV transmission spectra of water-soluble acrylic resin films containing hydroxybenzophenolic, hydroxyphenylbenzotriazolic UV absorber and HALS(hindered amine light stabilizer) were investigated by exposure time(before exposure weathered for 160 and 320hours) in QUV Weather-Ometer. Also the YID(yellowness index difference), LID(lightness index difference) and CD(color difference) of dried water-soluble acrylic resin films and the coated woods of Larix leptolepis were analyzed by addition level of UV absorber(0, 1, 2 and 3%) and HALS(0, 0.5, 1 and 1.5%) and by exposure time in QUV Weather-Ometer. They showed no significant effects on UV transmission spectra of dried water-soluble acrylic resin films in the range of 300 to 400nm irrespective of exposure time. However, UV transmission decreased as increase of exposure time. UV transmission spectra were lower in dried water-soluble acrylic resin films containing hydroxybenzophenolic UV absorber and HALS than in these containing hydroxyphenylbenzotriazolic UV absorber and HALS in the range of 350 to 400nm. The least YID, LID and CD in the coated woods of Larix leptolepis appeared at the addition level of 3%, based on non-volatile content, in hydroxybenzophenolic and hydroxyphenylbenzotriazolic UV absorber, and of 1.5% in HALS to water-soluble acrylic resin.

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기후변화를 고려한 낙엽송 지위지수 추정 (Analysis of the Effect of Climate Change on the Site Index of Larix leptolepis)

  • 김동현;김의경;박상병;김현근;김형호
    • 한국산림과학회지
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    • 제101권1호
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    • pp.53-61
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    • 2012
  • 이 연구는 기후변화를 고려한 낙엽송의 생장모형을 추정한 후 이에 따른 영향을 분석하는 데 있다. 이를 위해 종속변수는 지위지수, 독립변수는 입지, 기상, 토양인자를 설정하였으며, WLS 모형을 이용하여 잣나무의 생장모형을 추정하였다. 이를 토대로 한반도에 적용된 IPCC의 A1B 기후변화 시나리오 따라 $-3.3^{\circ}C$에서 $+3.3^{\circ}C$까지 시뮬레이션한 결과, $-0.8^{\circ}C$를 정점으로 지위지수는 감소하는 것으로 분석되었다. 이러한 결과를 바탕으로 각 시나리오에 따른 지역별 낙엽송 지위지수의 변화를 분석한 결과, 각 시나리오별 낙엽송의 지위지수는 전반적으로 감소하였으나 일부지역에서는 낙엽송의 지위지수가 증가하는 것으로 나타났다. 하지만 기온이 $3^{\circ}C$ 상승했을 때, 지위지수가 증가한 지역 또한 상대적으로 감소하는 것으로 분석되었다.

농작물의 기상재해 발생위험 판정기준 설정 및 지구 온난화에 따른 기준기상위험의 변화 전망 (An Agrometeorological Reference Index for Projecting Weather-Related Crop Risk under Climate Change Scenario)

  • 김대준;김진희;윤진일
    • 한국농림기상학회지
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    • 제18권3호
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    • pp.162-169
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    • 2016
  • 기준기상위험이란 한 지역의 평년기후조건이 작물재배에 미칠 수 있는 '농업기상학적 피해가능성'으로서, 동일 작물 재배 시 지역에 따른 재해위험을 비교하는 기준이 된다. 지구온난화로 인하여 겨울 온도는 상승할 것으로 예상되지만, 기상이변의 빈도 또한 늘어날 것으로 전망되기 때문에 미래 기후조건에서 과수의 동해, 상해 등 저온에 의한 재해위험이 주목 받고 있다. 그러나 기후의 변화는 과수 생물계절도 변화시키므로 기상조건에 근거한 단순한 재해위험 전망은 기후변화적응의 실용측면에서 별 도움이 되지 못한다. 본 연구에서는 전국 주요 지역의 과거 및 기후변화시나리오를 이용하여 배, 복숭아, 사과의 생물계절을 예측하고 생육단계별 기온과의 상호작용에 근거하여 저온 유래 기준기상위험을 계산함으로써 미래의 재해가능성을 전망하였다. 휴면해제일은 미래로 갈수록 늦어질 것으로 전망되었으며, 발아일과 개화일의 경우 빨라질 것으로 예상되었다. 대구, 전주, 목포의 경우 휴면해제일의 지연 정도가 미래로 갈수록 커졌으며 발아일과 개화일의 경우 서울, 인천 지역이 다른 지역에 비해 늦게 나타났다. 서울과 인천, 대구와 전주, 부산과 목포가 서로 비슷한 양상을 나타내었다. 휴면기 동안에는 전 지역이 동해에 안전하였으나 휴면해제-발아기 동안에는 전 지역이 동해에 취약하였고, 발아기-개화기의 위험은 미래로 갈수록 대체로 낮아졌지만 지역에 따라 위험이 커지는 곳도 있었다.

Negative association between high temperature-humidity index and milk performance and quality in Korean dairy system: big data analysis

  • Dongseok Lee;Daekyum Yoo;Hyeran Kim;Jakyeom Seo
    • Journal of Animal Science and Technology
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    • 제65권3호
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    • pp.588-595
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    • 2023
  • The aim of this study was to investigate the effects of heat stress on milk traits in South Korea using comprehensive data (dairy production and climate). The dataset for this study comprised 1,498,232 test-day records for milk yield, fat- and protein-corrected milk, fat yield, protein yield, milk urea nitrogen (MUN), and somatic cell score (SCS) from 215,276 Holstein cows (primiparous: n = 122,087; multiparous: n = 93,189) in 2,419 South Korean dairy herds. Data were collected from July 2017 to April 2020 through the Dairy Cattle Improvement Program, and merged with meteorological data from 600 automatic weather stations through the Korea Meteorological Administration. The segmented regression model was used to estimate the effects of the temperature-humidity index (THI) on milk traits and elucidate the break point (BP) of the THI. To acquire the least-squares mean of milk traits, the generalized linear model was applied using fixed effects (region, calving year, calving month, parity, days in milk, and THI). For all parameters, the BP of THI was observed; in particular, milk production parameters dramatically decreased after a specific BP of THI (p < 0.05). In contrast, MUN and SCS drastically increased when THI exceeded BP in all cows (p < 0.05) and primiparous cows (p < 0.05), respectively. Dairy cows in South Korea exhibited negative effects on milk traits (decrease in milk performance, increase in MUN, and SCS) when the THI exceeded 70; therefore, detailed feeding management is required to prevent heat stress in dairy cows.

통계적 공간상세화 기법의 시공간적 강우분포 재현성 비교평가 (Comparative Evaluation of Reproducibility for Spatio-temporal Rainfall Distribution Downscaled Using Different Statistical Methods)

  • 정임국;황세운;조재필
    • 한국농공학회논문집
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    • 제65권1호
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    • pp.1-13
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    • 2023
  • Various techniques for bias correction and statistical downscaling have been developed to overcome the limitations related to the spatial and temporal resolution and error of climate change scenario data required in various applied research fields including agriculture and water resources. In this study, the characteristics of three different statistical dowscaling methods (i.e., SQM, SDQDM, and BCSA) provided by AIMS were summarized, and climate change scenarios produced by applying each method were comparatively evaluated. In order to compare the average rainfall characteristics of the past period, an index representing the average rainfall characteristics was used, and the reproducibility of extreme weather conditions was evaluated through the abnormal climate-related index. The reproducibility comparison of spatial distribution and variability was compared through variogram and pattern identification of spatial distribution using the average value of the index of the past period. For temporal reproducibility comparison, the raw data and each detailing technique were compared using the transition probability. The results of the study are presented by quantitatively evaluating the strengths and weaknesses of each method. Through comparison of statistical techniques, we expect that the strengths and weaknesses of each detailing technique can be represented, and the most appropriate statistical detailing technique can be advised for the relevant research.

송전선로의 이용률 평가 및 합리적 운영에 관한 연구 (A Study on Utilization Ratio and Operation of Transmission Lines)

  • 김동민;배인수;조종만;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제55권10호
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    • pp.426-432
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    • 2006
  • This paper describes the concepts of Static Line Rating (SLR) and Dynamic Line Rating (DLR) and the computational methods to demonstrate them. Calculation of the line capacity needs the heat balance equation which is also used for computing the reduced tension in terms of line aging. SLR is calculated with the data from the worst condition of weather throughout the year. Even now, the utilization ratio is obtained from this SLR data in Korea. DLR is the improved method compared to SLR. A process for DLR reveals not only improved line ratings but also more accurate allowed line ratings based on line aging and real time conditions of weather. In order to reflect overhead transmission line aging in DLR, this paper proposes the method that considers the amount of decreased tension since the lines have been installed. Therefore, the continuous allowed temperature for remaining life time is newly acquired. In order to forecast DLR, this paper uses weather forecast models, and applies the concept of Thermal Overload Risk Probability (TORP). Then, the new concept of Dynamic Utilization Ratio (DUR) is defined, replacing Static Utilization Ratio (SUR). For the case study, the two main transmission lines which are responsible for the north bound power flow in the Seoul metropolitan area are chosen for computing line rating and utilization ratio. And then line rating and utilization ratio are analyzed for each transmission line, so that comparison of the present and estimated utilization ratios becomes available. Finally, this paper proves the validity of predictive DUR as the objective index, with simulations of emergency state caused by system outages, overload and so on.

Generating Complex Klinokinetic Movements of 2-D Migration Circuits Using Chaotic Model of Fish Behavior

  • Kim, Yong-Hae
    • Fisheries and Aquatic Sciences
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    • 제10권3호
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    • pp.159-169
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    • 2007
  • The complex 2-dimensional movements of fish during an annual migration circuit were generated and simulated by a chaotic model of fish movement, which was expanded from a small-scale movement model. Fish migration was modeled as a neural network including stimuli, central decision-making, and output responses as variables. The input stimuli included physical stimuli (temperature, salinity, turbidity, flow), biotic factors (prey, predators, life cycle) and landmarks or navigational aids (sun, moon, weather), values of which were all normalized as ratios. By varying the amplitude and period coefficients of the klinokinesis index using chaotic equations, model results (i.e., spatial orientation patterns of migration through time) were represented as fish feeding, spawning, overwintering, and sheltering. Simulations using this model generated 2-dimesional annual movements of sea bream migration in the southern and western seas of the Korean Peninsula. This model of object-oriented and large-scale fish migration produced complicated and sensitive migratory movements by varying both the klinokinesis coefficients (e.g., the amplitude and period of the physiological month) and the angular variables within chaotic equations.