http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 안기범(Ki-Beom A (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
-
In-orbit Stray Light Analysis for Step and Stare observation at Geostationary Orbit
오은송,홍진숙,안기범,조성익,류주형,김석환,Oh, Eunsong,Hong, Jinsuk,Ahn, Ki-Beom,Cho, Seongick,Ryu, Joo-Hyung,Kim, Sug-Whan 한국천문학회 2012 天文學會報 Vol.37 No.2
In the remote sensing researches, the reflected bright source such as snow, cloud have effects on the image quality of wanted signal. Even though those signal from bright source are adjusted in corresponding pixel level with atmospheric correction algorithm or radiometric correction, those can be problem to the nearby signal as one of the stray light source. Especially, in the step and stare observational method which makes one mosaic image with several snap shots, one of target area can affect next to the other snap shot each other. Presented in this paper focused on the stray light analysis from unwanted reflected bright source for geostationary ocean color sensor. The stray light effect for total 16 slot images each other were performed according to 8 band filters. For the realistic simulation, we constructed system modeling with integrated ray tracing technique which realizes the same space time in the remote sensing observation among the Sun, the Earth, and the satellite. Computed stray light effect in the results of paper demonstrates the distinguishable radiance value at the specific time and space.
-
국지적 일사량 산출 정확도 향상을 위한 다중회귀 증강 알고리즘
최지녕 ( Ji Nyeong Choi ),이상희 ( Sanghee Lee ),안기범 ( Ki-beom Ahn ),김석환 ( Sug-whan Kim ),김진호 ( Jinho Kim ) 대한원격탐사학회 2020 大韓遠隔探査學會誌 Vol.36 No.6
국지 지역에 대한 기상변수의 계절적인 변화는 해당 지역의 대기 투과 특성에 크게 영향을 미친다. 본 연구에서는 대기 환경의 국지적 특성이 매우 큰 지역에 대한 대기투과율과 일사량의 정밀 결정을 위해 새로운 다중회귀 증강 알고리즘을 제안한다. 이 방법은 1) 관측된 기상자료를 사용하는 적응형 대기모델 선정 및 2) 통상적인MODTRAN의 대기투과율 계산에 추가하여 다중선형회귀모델을 사용한다. 2018년 청명일에 해당하는 태안 연안의 기상자료에 이 새로운 알고리즘을 적용하여 계산된 일사량을 관측자료와 비교하였다. 측정과 계산 사이의 일사량 차이가 89.27 ± 48.08σ W/m2 (표준 MODTRAN 계산)에서 21.35 ± 16.54σ W/m2 (증강 다중회귀 알고리즘)로 약 70% 이상 개선되었다. 본 연구에서 제안한 이 새로운 방법론은 대기 환경 조건의 변화가 심해 국지적 특성이 매우 큰 지역의 일사량 및 대기 투과 특성을 정확하게 추정하고 이러한 지역에 대한 원격 탐사 자료의 대기 보정 작업에서 유용한 도구가 될 수 있을 것이다. The seasonal variations in weather parameters can significantly affect the atmospheric transmission characteristics. Herein, we propose a novel augmented multiple regression algorithm for the accurate estimation of atmospheric transmittance and solar irradiance over highly localized areas. The algorithm employs 1) adaptive atmospheric model selection using measured meteorological data and 2) multiple linear regression computation augmented with the conventional application of MODerate resolution atmospheric TRANsmission (MODTRAN). In this study, the proposed algorithm was employed to estimate the solar irradiance over Taean coastal area using the 2018 clear days’ meteorological data of the area, and the results were compared with the measurement data. The difference between the measured and computed solar irradiance significantly improved from 89.27 ± 48.08σ W/m2 (with standard MODTRAN) to 21.35 ± 16.54σ W/m2 (with augmented multiple regression algorithm). The novel method proposed herein can be a useful tool for the accurate estimation of solar irradiance and atmospheric transmission characteristics of highly localized areas with various weather conditions; it can also be used to correct remotely sensed atmospheric data of such areas.
-
-
-
송한식,엄홍섭,안기범 東亞大學校 經營問題硏究所 1996 經營論叢 Vol.17 No.-
SUMMARYWe now that system's modeling is to find the functional formulation of system's transformation process from input variables to output value. In this causal relationship, we assume that transformation process has very stable and predictable function and we can only determine parameters of the function.But in this system's modeling process, we bring up two problems. One is, in much cases, we have no conviction that really they have functional relationship. The others is, even if they have functional relationship we can not know the structure of functional equation.To solve this problem, we need a new method which could build functional formulation of itself. It is called self-organizing methods of modeling. GMDH (Group Method of Data Handling) is one of these self-organizing methods.In this paper, the GMDH is used to build a model in some cases.The GMDH algorithm, which was introduced and developed by Ivakhnenko, constructs high-order functional models for complex systems. GMDH self-organized the model from a simple one to one of optimal complexity by a methodology using the process of survival-of-the-fillest principle to determine which new equations to live and which equations to die. This new generation of equations will then be better suited to describe our system then the original this GMDH algorithm has thee steps in detail below. step 1 : constructing new variables Z1, Z2, ......Zm(m-1)/2 step 2 : screening out the less effective variables step 3 : test for optimality We developed this GMDH algorithm to a computer program. We applied GMDH to estimate the function which gives the value of degree of freedom by using Chai square(x2) distribution probability values and time series analysis of stock price estimation. In this trial, we used some previously-known data and the estimation ability of GMDH was good.In conclusion, the GMDH is excellent to build model to estimate dependent variable without specifying functional formulation in system modeling. So, in future study, we can apply this GMDH algorithm to develop the structure of neural network in forecasting and the area of medical science, economic model, etc.
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
