• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.382-384
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• 2001

잘 정의된 소프트웨어 아키텍쳐는 복잡성과 무형성으로 인한 소프트웨어의 개발과 진화의 어려움을 상당히 해소할 수 있다. 소프트웨어 시스템을 아키텍쳐 수준에서 효과적으로 설계, 분석하기 위해서는 아키텍쳐 기술 언어 (ADL)와 이를 지원하는 도구의 사용이 필요하다. 본 논문은 컴포넌트 기반의 도메인 아키덱쳐 모델링 시C2스타일의 아키덱쳐 기술을 지원할 수 있도록 본 연구팀이 정의한ADL로 기술된 아키텍쳐 모델의 편집과 구문 및 의미상의 오류검사를 지원하는 ADL 처리기의 설계와 구현방법을 기술한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.397-399
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• 2001

Unified Modeling Language(UML)은 개발하고자 하는 시스템을 Visualizing, Specifying, Constructing, Documenting 화 해주는 graphical language 이다. 우리는 이러한 모델링 언어를 통하여, 객체지향 분석/설계 과정에 이용하고 있다. 그러나, EJB 로 Mapping 하기 위한 충분한 연구가 이루어지지 않아 개발자들이 EJB 로 UML 을 설계 및 구현을 명확하게 옮기지 못하였다. 본 논문에서는 이 점에 중점을 두고 UML Modeling 을 통해 설계 및 구현된 내용중 UML 의 Sequence Diagram 의 요소들을 EJB Bean으로의 구현시 Mapping 지침을 제시한다

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.373-375
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• 2001

소프트웨어를 아키텍쳐 수준에서 정확하고 엄밀하게 설계, 분석하는 것이 점차 중요해짐에 따라 사용이 쉬우면서 기술적으로 성숙된 아키텍쳐 기술언어(ADL Architecture Description Language)의 필요성이 커지고 있다. 본 논문에서는 컴포넌트 기반의 도메인 아키텍쳐 모델링 시 C2 스타일의 아키텍쳐 기술을 지원하는 ADL을 정의한다. 본 논문에서 정의한 ADL은 자바(Java)와 유사한 구문으로 컴포넌트 명세와 아키텍쳐 명세를 분리하여 기술할 수 있는 표기 형식을 제공한다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.528-530
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• 1999

컴퓨터가 인식할 수 있는 지식의 표현방식에 대한 연구는 오래전부터 인공지능 분야에서 이루어져 왔다. 현재는 대규모의 지식베이스를 구축하고 공유하기 위한 Knowledge Sharing Effort(KSE) 프로젝트가 진행중인데, 여기에서는 도메인별로 어휘와 개념을 체계적으로 정의하여 Ontology로 구축하고 있다. 이 논문에서는 객체지향 소프트웨어 개발 방법론에서 모델링언어로서 널리 받아들여지고 있는 UML을, KSE에서 표준으로 제시하고 있는 컴퓨터가 인식할 수 있는 지식의 형태인 Knowledge Interchange Format 형태로 변환하는 방법을 제시하고 이를 통해 추론과 같은 보다 유연한 지식의 처리가 가능함을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.47-49
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• 2010

객체지향 설계에 사용하는 모델링 언어인 UML을 이용하여 유스 케이스 다이어그램을 도출합니다. 도출된 유스 케이스 다이어그램을 바탕으로 생성되는 클래스 다이어그램을 관계형 데이터베이스 스키마로 변환 방법을 소개 합니다.

• KIISE Transactions on Computing Practices
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• v.23 no.12
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• pp.698-702
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• 2017

Since the introduction of Deep Neural Networks to the Natural Language Processing field, two major approaches have been considered for modeling text. One method involved learning embeddings, i.e. the distributed representations containing abstract semantics of words or sentences, with the textual context. The other strategy consisted of composing the embeddings trained by the above to get embeddings of longer texts. However, most studies of the composition methods just adopt word embeddings without consideration of the optimal embedding unit and the optimal method of composition. In this paper, we conducted experiments to analyze the optimal embedding unit and the optimal composition method for modeling longer texts, such as documents. In addition, we suggest a new discourse-based composition to overcome the limitation of the sequential composition method on composing sentence embeddings.

• The KIPS Transactions:PartD
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• v.10D no.3
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• pp.489-500
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• 2003

Due to the rapid growth of Internet, modern software applications must support many web-based functionalities than traditional software applications. These web-based functional supports increase the complexity of software architecture and the cost of software development. Therefore, the development of an efficient environment that web characteristics are well reflected is the most important. In this thesis, we have presented an efficient environment for development of web applications. For the presented environment, after considering the web characteristics, we defined a Process for web applications and modeling environment. The Presented environment has three main functions : $\circled1$ it Provides a modeling environment for design of web-based applications, $\circled2$ it has a modeling language called WML(web-application modeling language), $\circled3$ it automatically extracts web pages from diagrams. As a result, using the three main functions of the presented environment, we can easily design, develop, and maintain the web applications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11B
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• pp.1363-1372
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• 2011

Flooding based routing protocols are usually used to disseminate information in wireless sensor networks. Those approaches, however, require message retransmissions to all nodes and induce huge collision rate and high energy consumption. In this paper, HoGoP (Hop based Gossiping Protocol) in which all nodes consider the number of hops from sink node to them, and decide own gossiping probabilities, is introduced. A node can decide its gossiping probability according to the required average reception percentage and the number of parent nodes which is counted with the difference between its hop and neighbors' ones. Therefore the decision of gossiping probability for network topology is adaptive and this approach achieves higher message reception percentage with low message retransmission than the flooding scheme. Through simulation, we compare the proposed protocol with some previous ones and evaluate its performance in terms of average reception percentage, average forwarding percentage, and forwarding efficiency. In addition, average reception percentage is analyzed according to the application requirement.

• Journal of the Korean Institute of Intelligent Systems
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• v.5 no.4
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• pp.41-55
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• 1995

In this paper, an optimal idenfication method using fuzzy-neural networks is proposed for modeling of nonlinear complex systems. The proposed fuzzy-neural modeling implements system structure and parameter identification using the intelligent schemes together wlth optimization theory, linguistic fuzzy implication rules, and neural networks(NNs) from input and output data of processes. Inference type for this fuzzy-neural modeling is presented as simplified inference. To obtain optimal model, the learning rates and momentum coefficients of fuzzy-neural networks(FNNs) are tuned automatically using improved modified complex method and modified learning algorithm. For the purpose of its application to nonlinear processes, data for route choice of traffic problems and those for activateti sluge process of sewage treatment system are used for the purpose of evaluating the performance of the proposed fuzzy-neural network modeling. The results show that the proposed method can produce the intelligence model with higher accuracy than other works achieved previously.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.209-218
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• 2008

The Unified Modeling Language becomes popular to specify, visualize, construct, and document software-intensive systems, especially in supporting the design phase of software engineering. Most of designs in UML have focused on firm designing of software system structure. Recently, some researches have raised additional demands in many emerging complex software systems, such as aspect-oriented design. In this paper, we work on the dynamic aspect of policy-driven architecture. We present a UML-based high-level modeling of policy-driven management which is applicable in various application domains. In order to manage a number of activities of applications, dynamics and flexibility should be supported with policies consistently on different resources in the same context. Thus, a methodology of meta-modeling to represent dynamic aspects of policy-driven architecture is studied. Based on our methodology, we could achieve meta-modeling to develop a number of policy-driven management applications.