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公开(公告)号:KR1020170134830A
公开(公告)日:2017-12-07
申请号:KR1020160064971
申请日:2016-05-26
Applicant: 경상대학교산학협력단
Abstract: 본발명은혼합분포형을이용한지구기후모델의극치강수자료의오차보정방법에관한것이다. 본발명에따른혼합분포형을이용한지구기후모델의극치강수자료의오차보정방법은, 알고리즘의실행에의해지구기후모델(GCM) 또는지역기후모델(RCM) 산출물들의기후시나리오를설정하는단계; 지구기후모델(GCM) 또는지역기후모델(RCM) 산출물들의편차를보정하기위해, 분위사상(QM)을이용하여관측데이터의확률분포에대해상기지역기후모델(RCM)의변수의확률분포를조정하는단계; 조정된지역기후모델(RCM)의변수의확률분포를바탕으로기후변화영향의평가를위해복수의혼합분포함수의모델들을테스트하는단계; 메타-휴리스틱최우도(MHML) 기법을이용하여상기혼합분포함수모델들의매개변수를추정하는단계; 테스트된복수의혼합분포함수모델들중에서최적성과를보이는혼합분포함수의모델에의해획득된결과데이터와상기추정된매개변수를바탕으로편이보정을수행하는단계; 및편이보정결과를기후모델의극치강수자료에반영함으로써기후모델의극치강수자료의오차를보정하는단계를포함한다.
Abstract translation: 本发明涉及一种使用混合分布类型来校正全球气候模型的极端降水数据中的误差的方法。 根据本发明的利用混合分布类型的全球气候模式的极端降水数据的误差校正方法包括以下步骤:设置全球气候模型(GCM)或局部气候模型(RCM)的气候情景, (QM)将区域气候模式(RCM)变量的概率分布调整为观测数据的概率分布,以校正全球气候模式(GCM)或区域气候模式(RCM)的变化, 该方法包括: 根据调整后区域气候模式(RCM)的变量概率分布测试多种混合分布函数模型,以评估气候变化影响; 使用元启发式最大似然(MHML)技术估计混合分布函数模型的参数; 基于由多个测试混合分布函数模型中显示最优性能的混合分布函数的模型获得的结果数据和估计参数执行偏移校正; 并通过将修正结果反映到气候模式的极端降水资料中来修正气候模式极端降水资料的误差。
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公开(公告)号:KR101856042B1
公开(公告)日:2018-06-26
申请号:KR1020160064971
申请日:2016-05-26
Applicant: 경상대학교산학협력단
CPC classification number: Y02A90/16
Abstract: 본발명은혼합분포형을이용한지구기후모델의극치강수자료의오차보정방법에관한것이다. 본발명에따른혼합분포형을이용한지구기후모델의극치강수자료의오차보정방법은, 알고리즘의실행에의해지구기후모델(GCM) 또는지역기후모델(RCM) 산출물들의기후시나리오를설정하는단계; 지구기후모델(GCM) 또는지역기후모델(RCM) 산출물들의편차를보정하기위해, 분위사상(QM)을이용하여관측데이터의확률분포에대해상기지역기후모델(RCM)의변수의확률분포를조정하는단계; 조정된지역기후모델(RCM)의변수의확률분포를바탕으로기후변화영향의평가를위해복수의혼합분포함수의모델들을테스트하는단계; 메타-휴리스틱최우도(MHML) 기법을이용하여상기혼합분포함수모델들의매개변수를추정하는단계; 테스트된복수의혼합분포함수모델들중에서이상치를생산함없이관측자료가지니고있는분포패턴을가장근접하게양산하는성능이가장우수한혼합분포함수의모델에의해획득된결과데이터와상기추정된매개변수를바탕으로편이보정을수행하는단계; 및편이보정결과를기후모델의극치강수자료에반영함으로써기후모델의극치강수자료의오차를보정하는단계를포함한다.
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公开(公告)号:KR101330181B1
公开(公告)日:2013-11-18
申请号:KR1020120074557
申请日:2012-07-09
Applicant: 경상대학교산학협력단
Inventor: 이태삼
IPC: G01W1/00
CPC classification number: G01W1/02 , G01W2201/00 , G06T2207/30192
Abstract: The present invention relates to a climate factor evaluation method caused by global warming using biased resampling The present invention suggests a bias resampling method which simulates to increase average temperature data at a specific temperature level based on observation data and elevates changes in climate factors in a specific region and in a specific time zone based on a global warming scenario (For example: The average temperature is increased from +0.5°C to +1.0°C) by resampling other climate facts such as hydrologic factors based on a block-wise sampling method related to temperature simulation. [Reference numerals] (AA) Start;(BB) End;(S11) Set a temperature increase value;(S12) Grant a weight according to the size of measurement data which reflects the temperature increase value;(S13) Re-extract temperature data from the measurement data according to the granted weight;(S14) Expand the contracted distribution value of the re-extracted temperature data through the error term of a normal distribution;(S15) Re-extract another weather factor's data, which appears at the same time slot as the re-extracted temperature data, from the measurement data;(S16) Estimate possible changes in the another weather factor according to increases in temperature based on the re-extracted data of the weather factor and display the estimation results
Abstract translation: 本发明涉及使用偏置重采样的全球变暖引起的气候因素评估方法本发明提出了一种偏压重采样方法,其模拟基于观测数据增加特定温度水平下的平均温度数据,并提高特定温度下气候因子的变化 区域和基于全球变暖情景的特定时区(例如:平均温度从+ 0.5℃升至+ 1.0℃),通过重新采样其他气候事实,如基于块状的水文因素 采样方法与温度模拟有关。 (附图标记)(AA)开始;(BB)结束;(S11)设定温度升高值;(S12)根据反映升温值的测定数据的大小赋予重量;(S13)再提取温度 (S14)通过正态分布的误差项扩大重新提取的温度数据的收缩分布值;(S15)重新提取另一个天气因素数据,出现在 (S16)根据天气因素的再提取数据,根据温度升高估算另一个天气因子的可能变化,并显示估计结果
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公开(公告)号:KR102075370B1
公开(公告)日:2020-02-10
申请号:KR1020180052896
申请日:2018-05-09
Applicant: 경상대학교산학협력단
Inventor: 이태삼
IPC: G06F30/00
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公开(公告)号:KR1020160093154A
公开(公告)日:2016-08-08
申请号:KR1020150013468
申请日:2015-01-28
Applicant: 경상대학교산학협력단
Abstract: 본발명은여러갈래로차선(車線)이형성된교차로; 상기교차로내에설치되고, 차량의주행을안내하는다수개의교통신호기; 및, 상기교차로의지면에차량의진행방향을따라일정간격마다설치되는다수개의 LED등;를포함하여구성되되, 상기 LED등은상기교통신호기와연동하여각 신호마다자동으로차량의진행방향을따라점등되어상기차량의운전자에게시인성(視認性)을확보해주는것을특징으로한다.
Abstract translation: 本发明涉及使用LED的交叉路口的行驶引导系统。 用于使用LED的交叉路口的行驶引导系统包括:形成几个行车道的交叉路口; 多个交通信号安装在交叉路口,引导车辆行驶; 以及以均匀间隔安装在交叉路口的移动方向的地面上的多个LED,其中LED与交通信号连接,以根据车辆移动方向上的每个信号自动开启,从而 确保司机的知名度。
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