• Environmental and Resource Economics Review
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• v.19 no.1
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• pp.23-43
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• 2010

This article compares two different auction designs for $CO_2$ emission allowances, namely uniform pricing and multiple pricing, in view of market efficiency. Experimental economic method of Buckley et al. (2004) is applied in this analysis. As a result of this analysis as expected, multiple pricing method brings out Winner's curse. It means that uniform pricing method is more efficient than multiple pricing method.

• Journal of Energy Engineering
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• v.24 no.4
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• pp.175-182
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• 2015

A methodology to determine the most conservative initial condition based on random sampling of operation parameters is established, in which a best-estimate computer code is adopted to minimize the conservatism in code models. To validate the applicability of the suggested method, safety evaluation for a transient of loss of condenser vacuum in a pressurized water reactor is performed. One-hundred different initial conditions are generated by MOSAIQUE program automatically and the peak pressure for the most conservative case is determined from transient analyses. The safety margin obtained with the new approach is almost equivalent to the values determined with the existing methodologies. It is found that the time and human resources required for the safety evaluation could be reduced with the suggested approach.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.10
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• pp.140-148
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• 1994

In this paepr, the modified neocognitron, which has capability of recognizing multi-patterns in input image in one pass, is proposed. It is the hierarchical neural network composed of S and V layer which are able to extract features and of C layer with little effect from deformation, changes in size, shifts in position. S and V cells extract the features of all patterns in input image by applying DCC(don't care condition) to those cells. S and C cells also have position informations of extracted patterns. Position information is used in extracting good features without extracted features beting interfered one another. The proposed method is shorter in recognition time than the selective attention method with backward connection, because of recognizing multi-patterns in one passe. The modified neocognitron can recognizze attached multi-patterns because of using DCC and position informations.

• Journal of Information Technology Application
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• v.1 no.3_4
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• pp.69-90
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• 1999

본 논문은 시계열자료의 ARMA 모형화를 위해 계층적(Hierarchical) 문제해결 방식인 인공신경망 기초 의상결정트리분류기상의 인공신경망 구조를 개선하여 지역문제(Local Problem)를 해결하는 복수개의 인공신경망 결과를 Dempster's rule of combination을 이용하여 종합하는 병행적인 (Parallel) ARMA 모형활르 위한 방법론을 제시함으로써 의사결정트리분류기에 근거한 방법론의 단점을 보완하였다. 본 논문에서 제시한 ARMA 모형화를 위한 방법론은 세 단계로 구성되어 있다: 1) ESACF 특성 벡터 추출단계; 2) 개별 인공신경망에 의한 부분적 모델링 단계; 3) Conflict Resolution 단계, 제시한 방법론을 검증하기 위해 모의실험용 자료와 실제 시계열자료를 이용하여 제시된 방법론을 검증하였으며 실험결과 기존 연구에 비해 ARMA 모형화와 정확도가 높은 것으로 나타났다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.889-891
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• 2004

본 논문은 약 134 GB에 이르는 시간 가변 해양 볼륨 데이터론 효과적으로 가시화 하기 위한 두 가지 접근 방법을 제시한다. 첫 번째 방법은 고화질의 동영상을 생성하기 위한 오프라인 병렬 볼륨 렌더링 기법으로, 볼륨광선추적법과 등가면 기법을 통합한 렌더링 알고리즘을 적용하여 고해상도의 영상을 생성할 수 있다. 두 번째 방법은, 그래픽스 하드웨어 가속기능을 통해 대화식 가시화가 가능한 멀티 파이프 렌더링을 구현하는 것으로, 복수개의 그래픽스 파이프라인과 3차원 텍스춰 맵핑 가속기능을 이용해 시간의 변화에 따른 해양의 변화를 효과적으로 가시화하고 분석할 수 있다.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.109-131
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• 2008

Ubiquitous Smart Space(USS) like u-City has been expected to create a high added value. However, developing USS has a high risk because it should use future technologies and development methodologies that have been never tried in the past. Hence, it has to be considered thoroughly in the very first stage of development. Moreover, USS usually uses several ubiquitous computing technologies combinationally because of the nature of USS. Despite of this, existing technology selection methodologies or technology evaluation methodologies only focus on a single technology. This leads us to develop a methodology of optimal technology combination for developing a specific USS. The purpose of this paper is to propose the methodology and to apply it to develop a real USS. We use portfolio theory and constraint satisfaction problem to determine an optimal technology combination. We also apply our methodology to the national ubiquitous computing project which carries out at present to validate it.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.394-402
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• 2004

When two or more entities interact with each other as when they collaborate or communicate, the degree of correctness of the interactions is called interoperability. In software, the necessity of interoperability testing arises when we build a software system in which multiple interacting software entities are employed to perform the function or task of the system. These days as software is more and more being used to solve complex problems and through networking functions of software can be distributed to provide abundant services, the more the interoperability testing becomes important. This paper provides the framework and methodology for interoperability testing by discussing the fundamental concepts and principles that underlie interoperability and interoperability testing and the approaches for practicing interoperability testing.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.220-223
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• 2008

본 논문은 소프트웨어 설계 시 향상된 오류 검출방법을 통해서 소프트웨어 설계의 질을 향상시켜 그에 따른 소프트웨어 제품의 질을 향상시키데 목적을 두고 있다. 또한 소프트웨어 설계 방법론인 MOA(Methodology for Object to Agents)를 기초로 하고 있으며, MOA는 보편적인 정보 모델로써 온톨로지 기반 모델인 OSSD( Ontology for Sortware Specification and Desigh)모델을 이용한다. 본 논문은 OSSD 모델, 뷰-간 비일관성 검사기법, 일관성 프레임워크의 온톨로지적 특성과 연관된 규칙의 조합을 이용하여 UML모델에서 OSSD 모델로의 변환과정에서 수행되는 새로운 형식의 오류 검출방법을 정의한다. OSSD 모델로의 변환과정은 OSSD 모델의 인스턴스를 생성하기 위한 알고리즘에서 복수의 사상테이블을 이용하는 소프트웨어 설계의 어휘분석과 의미분석을 포함한다.

• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.3
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• pp.49-56
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• 2011

This paper deals with a methodology for searching optimal route of hazard material (hazmat) vehicles. When we make a decision of hazmat optimal paths, there is a conflict between the public aspect which wants to minimize risk and the private aspect which has a goal of minimizing travel time. This paper presents Efficient Vector Labeling algorithm as a methodology for searching optimal path of hazmat transportation, which is intrinsically one of the multi-criteria decision making problems. The output of the presented algorithm is a set of Pareto optimal paths considering both risk and travel time at a time. Also, the proposed algorithm is able to identify non-dominated paths which are significantly different from each other in terms of links used. The proposed Efficient Vector Labeling algorithm are applied to test bed network and compared with the existing k-shortest path algorithm. Analysis of result shows that the proposed algorithm is more efficient and advantageous in searching reasonable alternative routes than the existing one.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.281-292
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• 2014

As the importance of algorithm trading is getting stronger, researches for artificial intelligence (AI) based trading strategy is also being more important. However, there are not enough studies about using more than two AI methodologies in one trading system. The main aim of this study is development of algorithm trading strategy based on the rough set theory that is one of rule-based AI methodologies. Especially, this study used genetic algorithm for optimizing profit of rough set based strategy rule. The most important contribution of this study is proposing efficient convergence of two different AI methodology in algorithm trading system. Target of purposed trading system is KOPSI200 futures market. In empirical study, we prove that purposed trading system earns significant profit from 2009 to 2012. Moreover, our system is evaluated higher shape ratio than buy-and-hold strategy.