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미시적 역학을 이용한 복합재료 구조물 수명예측 프로그램 개발
김종범 ( Jong Bum Kim ) 공군사관학교 2012 空士論文集 Vol.63 No.1
In this study, the life prediction tool, DIAMOND/Composite, was developed for the analysis of composite structures and components. The DIAMOND/Composite is one of the various modules of the DIMOND/IPSAP that performs high performance parallel finite element analysis software based on graphical user interface. The DIAMOND/Composite integrates three theories and methods: an accelerated testing method(ATM), unmixing-mixing scheme, and micromechanics of failure(MMF). At a given time t_i, we can obtain the constituent fiber and matrix properties from the stiffness mastercurve and the homogenized ply properties by using mixing scheme. Then the FE analysis is conducted to calculate stress and strain components on all elements. The unmixing scheme is used to amplify the macro stresses into the micro stress components in fiber and matrix constituents of every finite element. These micro stresses are plugged into the strength mastercurves of ATM and the mastercurve will yield the time to failure t_f.
얼굴의 대칭성을 이용하여 조명 변화에 강인한 2차원 얼굴 인식 시스템 설계
김종범(Jong-Bum Kim),오성권(Sung-Kwun Oh) 대한전기학회 2015 전기학회논문지 Vol.64 No.7
In this paper, we propose Two-Dimensional Robust Face Recognition System Realized with the Aid of Facial Symmetry with Illumination Variation. Preprocessing process is carried out to obtain mirror image which means new image rearranged by using difference between light and shade of right and left face based on a vertical axis of original face image. After image preprocessing, high dimensional image data is transformed to low-dimensional feature data through 2-directional and 2-dimensional Principal Component Analysis (2D)2PCA, which is one of dimensional reduction techniques. Polynomial-based Radial Basis Function Neural Network pattern classifier is used for face recognition. While FCM clustering is applied in the hidden layer, connection weights are defined as a linear polynomial function. In addition, the coefficients of linear function are learned through Weighted Least Square Estimation(WLSE). The Structural as well as parametric factors of the proposed classifier are optimized by using Particle Swarm Optimization(PSO). In the experiment, Yale B data is employed in order to confirm the advantage of the proposed methodology designed in the diverse illumination variation
A Note on Evidentiary Scope of Review in WTO Anti-Dumping Disputes
Jong Bum Kim(김종범) 법무부 국제법무정책과 2004 통상법률 Vol.- No.60
A WTO panel reviewing consistency of a national anti-dumping investigation with the WTO Anti-dumping Agreement faces the issue of whether to include in its review confidential information that was not previously available to the WTO member whose exporters had been subject to investigation. The provisions of the WTO Anti-dumping Agreement fail to provide a clear guidance to the panel faced with this issue. On the one hand, admitting all relevant information provided to the panel, including confidential information, enhances a WTO panels ability to make an informed decision. On the other hand, admitting previously undisclosed information is arguably prejudicial to the complainant country that had to make the decision to bring the case to the panel without being completely informed of all available facts. This unsettled question as to the evidentiary scope of a WTO panels review is lately resolved by the Appellate Bodys decision in Thailand - H-Beams. The Appellate Body expanded the authority of a WTO panel to admit evidence, holding that a panel is not prevented from examining analysis and reasoning in documents that had not been disclosed to interested parties during a national anti-dumping investigation.
차 영상을 통한 퍼지 추론 기반 열화 진단 시스템 설계
김종범(Jong-Bum Kim),최우용(Woo-Yong Choi),오성권(Sung-Kwun Oh),김영일(Young-Il Kim) 한국지능시스템학회 2015 한국지능시스템학회논문지 Vol.25 No.1
본 논문에서는 전기설비들의 신속하고 효율적인 진단을 위해 차 영상을 통한 퍼지 추론 기반 열화 진단 시스템을 설계한다. 전기 기기의 열화 진단이 시작 되면 처음 정상 상태의 온도와 비교하여 이상 영역을 검출한다. 검출된 영역은 퍼지 추론 알고리즘을 사용하여 열화를 진단한다. 퍼지 추론 알고리즘에서, 퍼지 규칙은 If-then형식으로 정의되고, look-up 테이블로 규칙을 표현한다. 온도와 온도의 변화량을 입력 변수로 사용한다. 입력변수의 퍼지수를 표현하기 위해 삼각형 멤버쉽 함수를 사용하였으며, 출력변수에는 singleton 멤버쉽 함수를 사용하였다. 최종 출력은 퍼지 추론 방법의 무게 중심법을 사용하여 계산한다. 전기 설비로부터 취득한 실험 데이터는 제안된 시스템의 성능을 평가하기 위하 사용한다. In this paper, we design fuzzy inference-based deterioration diagnosis system through different image for rapid as well as efficient diagnosis of electrical equipments. When the deterioration diagnosis of the electrical equipment starts, abnormal state of assigned area is detected by comparing with the temperature of the first normal state of the area. Deterioration state of detected area is diagnosed by using fuzzy inference algorithm. In the fuzzy inference algorithm, fuzzy rules are defined by If-then form and are described as look-up table. Both temperature and its ensuing variation are used as input variables. While triangular membership function is used for the fuzzy input variables of fuzzy rules, singleton membership function is used for the output variable of fuzzy rules. The final output is calculated by using the center of gravity of fuzzy inference method. Experimental data acquired from individual electrical equipments is used in order to evaluate the output performance of the proposed system