• 대한조선학회논문집
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• 제46권1호
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• pp.31-42
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• 2009

Common structural rule (CSR) doesn' t provide any other specific regulations for permanent means of access (PMA) platform structure in a cargo oil tank. The PMA platform is recommended to comply with scantling requirement of local support member. However, it leads to too conservative scantlings compared with actual loads imposed on the platform. This paper proposes a strength assessment procedure for the PMA structure based on a nonlinear ultimate strength. The ultimate strength is evaluated in a sufficiently conservative way. The first linear buckling mode is used as an initial imperfection shape and its magnitude is determined using the definitions of DNV PULS. Since the same imperfection mode as the failure mode of the ultimate limit state is assumed, it can accelerate the failure. Au ultimate strength capacity curve obtained from a series of nonlinear FE analysis is compared with actual stresses calculated by CSR cargo hold analysis.

• 전기학회논문지
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• 제58권2호
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• pp.399-406
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• 2009

In this study, Polynomial Radial Basis Function Neural Network(pRBFNN) based on Fuzzy Inference System is designed and its parameters such as learning rate, momentum coefficient, and distributed weight (width of RBF) are optimized by means of Particle Swarm Optimization. The proposed model can be expressed as three functional module that consists of condition part, conclusion part, and inference part in the viewpoint of fuzzy rule formed in 'If-then'. In the condition part of pRBFNN as a fuzzy rule, input space is partitioned by defining kernel functions (RBFs). Here, the structure of kernel functions, namely, RBF is generated from HCM clustering algorithm. We use Gaussian type and Inverse multiquadratic type as a RBF. Besides these types of RBF, Conic RBF is also proposed and used as a kernel function. Also, in order to reflect the characteristic of dataset when partitioning input space, we consider the width of RBF defined by standard deviation of dataset. In the conclusion part, the connection weights of pRBFNN are represented as a polynomial which is the extended structure of the general RBF neural network with constant as a connection weights. Finally, the output of model is decided by the fuzzy inference of the inference part of pRBFNN. In order to evaluate the proposed model, nonlinear function with 2 inputs, waster water dataset and gas furnace time series dataset are used and the results of pRBFNN are compared with some previous models. Approximation as well as generalization abilities are discussed with these results.

• 대한조선학회논문집
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• 제50권1호
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• pp.41-48
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• 2013

Several fatigue damages have recently been reported which cannot be resolved in the context of the existing fatigue design procedure, and they are suspected to be the cracks induced by the low cycle fatigue mechanism. To tackle the problem, a series of material tests together with fatigue tests have been carried out, and elasto-plastic notch strain analysis using nonlinear kinematic hardening model has been performed. The cyclic stress-strain curves are obtained and the nonlinear kinematic hardening model was calibrated based on the obtained material data. Also, the fatigue test with non-load-carrying cruciform fillet welded joint has been performed in low cycle fatigue regime. Then, the notch strain analyses have been carried out to find the precise elasto-plastic behavior of the material at the notch root of the cruciform joint. The variation of the material property from the base metal via HAZ up to the weld metal was taken into account using spatial variation of the material property. Then the detail elasto-plastic behavior of the welded joint subjected to the repeated cyclic loading has been investigated further through the comparison with the prediction with Neuber's rule. The calibration of the nonlinear kinematic hardening model and nonlinear notch strain analyses have been performed using the commercial FE program ABAQUS.

• 한국지능시스템학회논문지
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• 제6권3호
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• pp.14-24
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• 1996

유전자 알고리즘을 이용한 다양한 특징의 분석이 필요한 퍼지 분류기의 설계방법을 제안한다. 본 논문에서 제안한 퍼지 분류기의 퍼지 논리를 이용한 분류 부분과 우전자 알고리즘을 이용한 규칙생성부분으로 구성된다. 유전자 알고리즘을 이용한 규칙 생성 부분에서는 최적의 퍼지 멤버쉽 함수를 결정하고, 각 특징이 규칙에 포함되는지 포함되지 않는지의 여부도 결정하게 된다. 또한 특정 대상에 대한 인식률을 분석하여 큰 오인식률을 갖는 부분에 세부 특징을 추가하는 방법과 문자열과 population의 최소크기, 인식률 개선을 위한 반복적 분석 방법을 사용한다. 제안된 퍼지 분류기의 적용 예로서, 아이리스 테이터와 갑상선 종양 세포, 그리고 필기된 숫자와 인쇄된 숫자의 인식을 든다. 필기된 숫자와 인쇄된 숫자의 인식을 위해서 각 숫자를 구조적인 정보가 동일한 그룹으로 분류한다. 본 논문에서 제안한 퍼지 분류기는 아이리스 데이터에 대해 98.67%의 인식률을 갑상선 종양 세포에 대해서 98.25%의 인식률을 필기된 숫자와 인쇄된 숫자에 대해서 96.3%의 인신룩을 얻었다.

• Journal of Korea Trade
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• 제24권1호
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• pp.59-81
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• 2020

Purpose - This study analyzes the scope of due diligence and risks of banks and K-Sure in trade finance covered by EFF focusing on Moneual case, one of the latest and biggest trade finance fraud cases in Korea. Also, we suggest anti-fraud measures in trade finance on the part of banks and K-Sure in order to give them a desirable way of due diligence and reasonable risk management of export insurance. Design/methodology - Based on Moneual case of trade finance fraud, this study employs the methodology of an extended literature review and analysis of court decisions. Findings - Seoul High Court of Korea failed to decide whether K-Sure was wholly obliged to pay the insurance against the banks' EFF claims, but issued a compulsory mediation order, judging that both the banks and K-Sure were responsible by 50:50. The court may have judged that both the parties had lacked their due diligence in the trade finance. It is quite difficult for trade finance providers to manually investigate whether the transaction is suspected of trade finance fraud, so digitalization of trade finance which can facilitate the prevention and detection of trade fraud needs to be realized quickly. Since there has been no international rule available for open account trade finance up till now, clearly stipulated EFF terms on the exporter's genuine export obligation might have protected K-Sure from the disaster. Originality/value - This study investigates the due diligence of the banks and K-Sure in Moneual case which few researchers have considered, to the best of our knowledge. This study also suggests several practical methods (including block chain) to prevent complicating trade finance fraud amid increasing use of an open account, and further offers reasonable risk management of EFF employing international factoring rule which is also related to problematic open account trade finance.

• Journal of Korea Trade
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• 제23권7호
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• pp.147-155
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• 2019

Purpose - As the U.S.-China trade war has become considerably worse, the Chinese government is considering applying non-tariff barriers to trade, especially local contents rule. The main purpose of this research is to check whether it is suitable for Korean investors to invest in the current Chinese capital market. Design/methodology - In order to check the stability of the recent Chinese capital market, we investigated the behavior of foreign equity investment (including Korean equity investment) in the Chinese capital market after China announced the Shanghai-Hong Kong Stock Connect (SH-HK Connect). In this paper, we researched whether international portfolio investment would or would not contribute to an increase the volatility of an emerging market's stock market (Chinese capital market) when foreign investors make investment decisions based on the objective of short-term gains by rushing into countries whose markets are booming and fleeing from countries whose markets are falling. Findings - The empirical results indicate that foreign investors show strong, negative feedback trading behavior with regard to the stock index of the Shanghai Stock Exchange (SSE), and when the performance of foreign investors in the Chinese stock market was fairly good. Also, we found evidence that the behavior of foreign investors significantly decreased volatility in SSE stock returns. Consequently, the SH-HK Connect brought on a win-win effect for both the Chinese capital market and foreign investors. Originality/value - It appeared that the Chinese capital market was very suitable for Korean investors after the China's declaration of the SH-HK Connect. However, the win-win effect was brought on by the Chinese government's aggressive capital control but the capital controls could possibly cause financial turmoil in the Chinese capital market. Therefore, Chinese reform in industrial structure and the financial sector should keep pace with suitable capital control policies.

• 한국멀티미디어학회논문지
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• 제14권2호
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• pp.318-328
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• 2011

본 논문은 한옥 설계 지원 시스템을 개발함에 있어서 부재의 수를 획기적으로 줄이면서 한옥을 설계할 수 있는 효과적인 부재 표현방식을 제안하고자 한다. 한옥은 규모, 지붕의 모양, 공포의 유무 등에 따라 다양하게 분류할 수 있으며 결구방식 및 연결부재에 따라 부재의 수가 매우 다양하다. 이러한 다양한 부재를 모두 설계하게 되면 설계 시에 부재의 사용과 취급이 어려워진다. 이러한 문제를 해결하기 위해서 전남 표준한옥올 중심으로 한옥의 목구조 방식을 체계적으로 분석하고 특성이 비슷한 부재들을 모아서 하나의 템플릿으로 설계하여 다양한 형태의 유사부재들을 속성 값에 따라 자유롭게 생성할 수 있도록 객체지향 방식의 표현기법을 사용한다. 제안된 방식은 객체지향 방식의 부재를 표현함에 있어서 연결 부재간의 상관관계를 부재와 부재간의 관련 파라미터들 사이의 결합규칙을 적용함으로써 설계의 오류를 최소화 하도록 지원할 수 있다.

• 한국전산구조공학회논문집
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• 제22권3호
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• pp.243-250
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• 2009

최근 기업에서는 설계 기간을 단축하기 위하여 기존의 CAD시스템들의 기능을 기업의 목적에 맞게 수정할 수 있는 커스터마이징 기술이 요구되고 있다. 이에 대부분의 상용 CAD시스템 개발회사들은 일련의 반복된 작업을 자동으로 수행할 수 있게 해주는 매크로나 외부 프로그램을 작성할 수 있도록 API를 제공하고 있다. 본 논문은 지식기반의 제품개발 체계를 구축하기 위하여 특정 부품의 정형화된 설계 규칙을 3D CAD 템플릿으로 개발하여 특정 모델링을 보다 편리하게 수행할 수 있도록 하는데 목적이 있다. 냉장고의 부품 설계에 요구되는 관련 수식, 데이터 및 설계지식을 Unigraphics의 UG/Open API를 이용하여 프로그램화하였고 그 개발사례를 제시하였다. 상용 CAD시스템에 연결하여 사용함으로써 설계 검증 및 설계 변경을 제품설계 업무에 효과적으로 적용하였다.

• Journal of Ship and Ocean Technology
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• 제5권3호
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• pp.1-13
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• 2001

Present-day rules and regulations for the design and construction of ships are almost without exemption of a prescriptive and deterministic nature. Often it is argued that this situation is far from ideal; it does no right to the advances, which have been made during the past decades in engineering tools in marine technology, both in methodology and in computational power. Within IMO this has been realized for some time and has resulted in proposals to use Formal Safety Assessment(FSA) as a tool to improve and to modernize the rule making process. The present paper makes use of elements of the FSA methodology, but instead of working towards generic regulations or requirements, a Risk Assessment Approach, not unlike a 'safety case'; valid for a certain ship or type of ship is worked out. Delft University of Technology investigated the application of safely assessment procedures in ship design, in co-operation with Anthony Veder Shipowners and safety experts from Safely Service Center BV. The ship considered is a semi-pressurized-fully refrigerated LPG carrier. On the basis of the assumption that a major accident occurs, various accident, scenarios were considered and assessed, which would impair the safety of the carrier. In a so-called Risk Matrix, in which accident frequencies versus the consequence of the scenarios are depicted, the calculated risks all appeared lo be in the ALARP('as low as reasonable practicable') region. A number of design alternatives were compared, both on safety merits and cost-effectiveness. The experience gained with this scenario-based approach will be used to establish a set of general requirements for safety assessment techniques in ship design. In the view that assessment results will be most probably presented in a quasi-quantified manner, the requirements are concerned with uniformity of both the safety assessment. These requirements make it possible that valid comparison between various assessment studies can be made. Safety assessment, founded on these requirements, provides a validated and helpful source of data during the coming years, and provides naval architects and engineers with tools experience and data for safety assessment procedures in ship design. However a lot of effort has to be spent in order to make the methods applicable in day-to-day practice.

• 한국지능시스템학회논문지
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• 제11권4호
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• pp.359-365
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• 2001

본 논문에서는 바이러스-진화 유전 알고리즘에 기반한 퍼지 기저 함수 확장을 이용한 표적 추적 시스템의 설계 방법을 제안한다. 일반적으로 표적 추적의 목적은 센서로부터 얻어진 표적의 과거 위치에 기반하여, 미래에 대한 표적의 궤적을 추정하는 것이다. 확장 칼만 필터와 같은 전통적이고 수학적인 비선형 필터링 기법에서 강한 비선형성은 시스템의 성능을 저하시킬 수 있다. 이러한 비선형 필터링 기법의 장점을 결합한다. 제안된 방법에서, 확장 칼만 필터의 파라미터로 학습 데이터를 구성하고, 강한 근사화 능력을 가지는 퍼지 기저 함수에 유전 알고리즘의 유전적 다양성 상실로 이한 조기 수렴을 방지하는 바이러스-진화 유전 알고리즘을 결합하여, 파라미터와 규칙 수를 동시에 동정시킴으로써 확장 칼만 필터의 오차를 보정한다. 마지막으로, 제안된 방법은 3차원 상의 모의 실험을 통해 그 성능이 입증된다.