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Yang Dam Eo,Gyeong Wook Lee,Doo Youl Park,Wan Yong Park,Chang No Lee 大韓遠隔探査學會 2008 大韓遠隔探査學會誌 Vol.24 No.5
In order to classify an satellite imagery into geospatial features of interest, the supervised classification needs to be trained to distinguish these features through training sampling. However, even though an imagery is classified, different results of classification could be generated according to operator`s experience and expertise in training process. Users who practically exploit an classification result to their applications need the research accomplishment for the consistent result as well as the accuracy improvement. The experiment includes the classification results for training process used VITD polygons as a prior probability and training parameter, instead of manual sampling. As results, classification accuracy using VITD polygons as prior probabilities shows the highest results in several methods. The training using unsupervised classification with VITD have produced similar classification results as manual training and/or with prior probability.
Eo, Yang-Dam,Lee, Gyeong-Wook,Park, Doo-Youl,Park, Wang-Yong,Lee, Chang-No The Korean Society of Remote Sensing 2008 大韓遠隔探査學會誌 Vol.24 No.5
In order to classify an satellite imagery into geospatial features of interest, the supervised classification needs to be trained to distinguish these features through training sampling. However, even though an imagery is classified, different results of classification could be generated according to operator's experience and expertise in training process. Users who practically exploit an classification result to their applications need the research accomplishment for the consistent result as well as the accuracy improvement. The experiment includes the classification results for training process used VITD polygons as a prior probability and training parameter, instead of manual sampling. As results, classification accuracy using VITD polygons as prior probabilities shows the highest results in several methods. The training using unsupervised classification with VITD have produced similar classification results as manual training and/or with prior probability.
어양담(Eo Yang Dam),송현승(Song Hyeon Seung),이용웅(Lee Yong Woong),박철근(Park Cheol Geun),황명균(Hwang Myung Kyun) 한국지적정보학회 2007 한국지적정보학회지 Vol.9 No.2
비행궤적을 가지고 날아오는 물체의 출발위치를 정확히 계산하기 위해서는 지형 고도를 고려한 수평위치로의 보정이 필요하다. 그런데 일부 탐지체계의 경우 종이지도에 표시된 위치의 등고선을 육안판독하여 그 고도값을 입력하게 되므로 열악안 판독환경, 판독개인차 및 시간제한 등으로 인해 부정확한 위치 생성 가능성이 있다. 따라서 동일 지점에 대한 등고선 육안판독 고도와 등고선 제작에 활용된 수치고도자료를 계산한 결과를 비교하여 두 결과의 차이가 있는지를 분석하고, 현지측량자료와의 성과를 비교하였다. 또한 현재 군이 보유하고 있는 기준자료와 수치고도자료들을 종류별로 차이를 분석하여 독자적 탐지체계 개발시 적합한 수치고도자료를 제안하였다. Accurate position can be calculated by input height of intial fire position in fire-finding system. In some detection systems, operators read a specific position which lies on contours of the paper map, it is possible to get inaccurate object position due to bad interpretation condition, individual maturity, and time limit. Positional accuracy test performed between interpretation height of paper map and calculation result of digital map. Also, the experiment results calculated from several types of digital elevation data are compared with reference data. Author suggests the proper type of DTED (Digital Terrain Elevation Data)to future domestic fire-finding system.
도로 영역 추출을 위한 무감독 분류에 있어서 적정 클래스 수 결정
어양담(Eo Yang Dam),송현승(Song Hyeon Seung),이용웅(Lee Yong Woong) 한국지적정보학회 2004 한국지적정보학회지 Vol.6 No.2
도로의 형상이 복잡한 시가지 지역에 대한 도로영역의 무감독 분류를 수행함에 있어서, 클래스 수를 변화시키면서 도로화소를 결정하였다. 결정된 도로 화소들의 정확도를 오차행렬(error matrix), edge 성분과의 방향 일치성, 도로 화소들의 밀집성을 통하여 분석하였다. 본 연구에서 시가지 영역을 포함한 QuickBird-2 다중밴드 영상을 대상으로 실험한 결과, 분류 정확도, 화소의 방향성, 화소 밀집도를 기준으로 20~30개 클래스로 분류한 경우가 가장 좋은 결과를 나타내었다. The road pixels which have complex geometry and shape in urban area were determined through changing the number of classes in unsupervised classification. The Error matrix, direction accordance with edges and road pixel tightness were used for analysis of road pixel classification. The result from QuickBird multispectral imagery shows that the cases of 20-30 classes had better classification accuracy, direction accordance and pixel tightness than the case of 50-100 classes.
Antenna Modeling Using Sparse Infinitesimal Dipoles Based on Recursive Convex Optimization
Yang, Sung Jun,Kim, Young Dam,Yun, Dal Jae,Yi, Dong Woo,Myung, Noh Hoon IEEE 2018 IEEE antennas and wireless propagation letters Vol.17 No.4
<P>Infinitesimal dipole modeling (IDM) can model antennas analytically with small amounts of data. Constrained IDM has been proposed to improve the modeling efficiency by fixing the positions and orientations of the dipole elements. The restrictions have a tradeoff of the modeling requiring more dipole elements. Therefore, the modeling technique has the disadvantage of having low practicality. A recursive convex optimization based on reweighted <I>l</I><SUB>1 </SUB>-norm is proposed for sparse IDM. By applying the reweighted <I>l</I><SUB>1</SUB>-norm to the convex optimization, the IDM can represent sparse solutions. Antennas can be modeled with dipole elements less than half of the previous constrained IDM. For verification, a five-patch array antenna and a slot array antenna are modeled by the proposed IDM scheme. About 57% and 45% of the dipole elements can be respectively suppressed using the proposed algorithm, with only 1 dB degradation in modeling accuracy.</P>
조담(Dam Cho),양채열(Chae Yeol Yang) 한국경영학회 2006 經營學硏究 Vol.35 No.3
We start from the observation that the current financial support system for academic researches is plagued with inefficiencies and irregularities. Researchers (mostly professors) are sometimes even indicted on charges of fraud or embezzlement of research funds. One reason may be that the legal and systemic rules in managing and executing research funds are too rigid to accomodate complex realities in the researches. Another reason may be that researchers are private utility maximizer and therefore they are prone to moral hazard in the use and the report of research funds. We model current financial support system and derive some implications. The current financial support system for academic research is modeled in a game theoretic framework, where a fund provider is a principal and a researcher is an agent in the game. The focus of the analysis is the researcher's decision about the true or false reporting of the use of funds. Depending on the parameter values of the model, the researcher may or may not report truthfully. Based on the analysis using incentive compatible approach, we suggest some measures to revamp the current inefficient and humiliating system. The key is to adjust the parameter values so that the researcher may have the right incentive to report truthfully. This can be achieved by changing rules governing the use and the report of research funds. Specifically, the intangible assets - effort of the researcher which is one of the most important assets in the knowledge economy - should be considered as valid inputs in the research. The accounting rules must be changed to consider the use of intangible assets as expenses. This may require the paradigm shift of all the people involved. In addition, a new kind of financial support system for researches based on the menu of contract approach is suggested.