• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.44-48
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• 2008

분산 시뮬레이션 환경에서 모의되는 개체의 재사용성과 개체 간 상호운용성을 높이기 위해서 Modeling & Simulation 기법이 적용된 M&S Framework이 제안되었다. 제안된 프레임워크의 미들웨어 통신을 담당하는 시뮬레이션 네트워크 관리자는 계층적 아키텍처 스타일을 적용함으로써 관리성(maintainability), 재사용성(reusability), 확장성(scalability) 등의 요구사항을 지원하도록 설계되었다. 하지만 프레임워크를 구현한 다양한 모의 개체의 생성은 메시지의 인터페이스 코드에 대한 중복을 증가시키고, 인터페이스 변경 요구사항에 대해서 시뮬레이션 네트워크 관리자가 적용된 모든 모의기의 변경 또한 불가피해 진다. 본 논문에서는 인터페이스에 대한 코드의 중복을 없애고, 인터페이스의 변경에 대하여 유연성을 가질 수 있도록 메타프로그래밍 기법을 적용한 분산객체 통신 모듈을 제안한다. 또한 이 기법을 적용할 경우 구현 문제와 관련된 이슈와 장 단점을 기술한다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.673-676
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• 2002

XML은 모든 분야의 데이터를 저장하고 다른 형태의 데이터로 변화될 수 있는 강한 힘을 지니고 있다. 웹에서의 가상 교육에 대한 데이터도 XML로 저장한다면 한번 저장된 데이터는 어떤 사이트에서든 조금의 수정없이 바로 사용할 수 있다. 물론 이 데이터 구조가 미리 정의되어 모든 사이트에서 이 구조대로 XML 데이터를 만들어야 가능하다. 현재 사이버 교육 사이트들의 강좌 데이터는 데이터베이스에, 데이터베이스에서 데이터를 가져오는 것은 ASP, 가져온 데이터를 사용자에게 서비스하는 최종 산출물은 HTML로 구성되어 있어 이 데이터는 더 이상 가공을 할 수 없게 된다. 즉 각각의 사이버 교육 사이트들의 데이터는 서로 공유될 수 없다. 본 논문은 현재 사이버스쿨의 한계를 벗어날 수 있도록 새로운 표준으로 제안되어진 XML을 이용하여 사이버 강좌 관리시스템을 위한 통일된 XML 데이터 구조를 정의하고 웹에서 어떻게 사용해야 하는지 모델을 제시하였다.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.10a
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• pp.141-146
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• 2001

An Information Retrieval System offers the integrated view of SCM(Supply Chain Management) information to the enterprise by making it possible to exchange data between regionally distributed heterogeneous computers and also to enable these computers to access various types of databases. The Information Retrieval System is modeled using Data Registry Model based on X3.285. We only verify the MetaData Registry Manager(MDR Manager) among the core parts using SMV(Symbolic Model Verifier) in order to verify whether our model satisfies the requirements under the given assumptions.

• The Journal of Information Systems
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• v.26 no.4
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• pp.327-353
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• 2017

Purpose Social media such as social network services, online forums, and customer reviews have produced a plethora amount of information online. Yet, the information deluge has created both opportunities and challenges at the same time. This research particularly focuses on the challenges in order to discover and track the service defects over time derived by mining publicly available online customer reviews. Design/methodology/approach Synthesizing the streams of research from text analytics, we apply two stages of methods of sentiment analysis and structural topic model incorporating meta-information buried in review texts into the topics. Findings As a result, our study reveals that the research framework effectively leverages textual information to detect, prioritize, and categorize service defects by considering the moving trend over time. Our approach also highlights several implications theoretically and practically of how methods in computational linguistics can offer enriched insights by leveraging the online medium.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.1136-1141
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• 2003

Due to the lack of digitally usable standards, it has been known to be difficult to handle the biological data. For example, the name of genes and proteins changes over time or has several synonyms indicating different entities. To cope with these problems, several communities, including the Gene Ontology Consortium and PubGene are making their efforts to move science toward the semantic web vision. Although some progress has been made, its expressivity is not sufficient for full-fledged ontological modeling and reasoning. This paper suggests a methodology for representing and extracting biological knowledge by using Web Ontology Language (OWL) as an extension of Resource Description Framework Schema (RDFS). Some benefits of our approach are: (1) to ensure extended sharing of biological meta data on the Web, and (2) to enrich additional expressivity and the semantics of RDFS+OWL.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1709-1712
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• 2003

프로덕트 라인은 다양하고 빠르게 변화하는 사용자 요구사항과 시스템 개발을 위한 특정 도메인 영역에서의 프로덕트 재사용에 관한 연구로 관련된 프로덕트들 사이의 공통성과 변화성에 초점을 두고 체계적인 접근을 제공할 수 있다. 본 논문에서는 체계적인 계획과 변화성 관리를 제공하는 효과적인 프로덕트 라인을 위해 프로세스와 모델링을 중심으로 전개하고, 특히 재사용 가능한 아키텍처 구성을 위해 다양한 관점의 프로덕트 라인 메타모델을 정의하고 망관리 도메인에서 프로덕트 변화성의 효율적인 생성을 지원하는 변화성의 모델링과 이들의 계속적인 변화성을 적용한 설계 패턴들을 제시하고자 한다.

• Proceedings of the KSME Conference
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• 2004.04a
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• pp.1035-1040
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• 2004

In the proto design stage of a new car, the performance of an occupant protection system is often evaluated by CAE instead of the real test. CAE predicts and recommends the appropriate design values hence reducing the number of the real tests. However, the existing researches using CAE in predicting the performances do not consider the uncertainties of parameters, in which inconsistency between the actual test results and CAE exists. In this research, the optimization procedure of a protection system such as airbag and load limiter is suggested for the frontal collision. The DACE modeling known as Kriging interpolation is introduced to obtain the meta model of the system followed by the tabu search method to determine a global optimum. Finally, the distribution of a suggested design is determined through the Monte-Carlo Simulation.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.681-683
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• 2003

The response surface method (RSM) became a popular meta modeling technique, but it always contains the approximation error. Instead of the conventional RSM, the moving least squares method (MLSM) was used to get more accurate models. The characteristics of a single-phase induction motor for the reciprocal compressor are analyzed by using the lumped method Program (LMP). The proposed method is applied to a single-phase induction motor for increasing the efficiency.

• Advances in Energy Research
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• v.8 no.3
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• pp.175-184
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• 2022

The dual-fuel technology, which uses gaseous fuel as the main fuel and liquid as the pilot fuel, is an appealing technology for reducing the exhaust emissions. The current study proposes emission models based on ANFIS for a dual-fuel using producer gas (PG)-diesel engine. Emissions measurements were taken at different engine load levels and fuel injection timings. The proposed model predictions were examined using statistical methods. With R2 values in the range of 0.9903 to 0.9951, the established ANFIS model was found to be consistently robust in predicting emission characteristics. The mean absolute percentage deviate in range 1.9 to 4.6%, and mean squared error varies in range 0.0018 to 13.9%. The evaluation of the ANFIS model developed shows a reliable claim of intrinsic sensitivity, strength, and outstanding generalization. The presented meta-model can be used to simulate the engine's operation in order to create an efficient control tool.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.656-657
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• 2015

Recently, Multi-Objective Optimization of design elements is an important issue in building design. Design variables that considering the specificities of the different environments should use the appropriate algorithm on optimization process. The purpose of this study is to compare and analyze the optimal solution using three evolutionary algorithms and energy modeling simulation. This paper consists of three steps: i)Developing three evolutionary algorithm model for optimization of design elements ; ii) Conducting Multi-Objective Optimization based on the developed model ; iii) Conducting comparative analysis of the optimal solution from each of the algorithms. Including Non-dominated Sorted Genetic Algorithm (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO) and Random Search were used for optimization. Each algorithm showed similar range of result data. However, the execution speed of the optimization using the algorithm was shown a difference. NSGA-II showed the fastest execution speed. Moreover, the most optimal solution distribution is derived from NSGA-II.