• Title/Summary/Keyword: system integration framework

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A Multiagent System for Workflow-Based Bioinformatics Tool Integration

  • Sohn, Bong-Ki;Lee, Keon-Myung;Kim, Hak-Joon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.3 no.2
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    • pp.133-137
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    • 2003
  • Various bioinformatics tools for biological data processing have been developed and most of them are available in public. Most bioinformatics works are carried out by a composite application of those tools. Several integration approaches have been proposed for easy use of the tools. This paper proposes a new multi agent system to integrate bioinformatics tools in the perspective of workflow since the composite applications of tools can be regarded as workflows. For the easy integration, the proposed system employs wrapper agents for existing tools, uses XML-based messages in the inter-agent communication, and agents are supposed to extract necessary information from the received messages. This allows new tools to be easily added on the integration framework. The proposed method allows various control structures in workflow definition and provides the progress monitoring capability of the on-going workflows. In particular, agents in this system have the rule-based architecture which allows the defined rule set to be a special role agent. This feature provides fast and flexible agent development to aid in managing the complexity of bioinformatics application. This system has been partially implemented and has been proven to be a viable implementation for workflow-based bioinformatics tool integration.

An Approach to Composing a Structured Model from Validated Submodels

  • Suh, Chang-Kyo;Suh, Eui-Ho
    • Journal of the Korean Operations Research and Management Science Society
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    • v.15 no.2
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    • pp.85-95
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    • 1990
  • Structured modeling provides a formal mathematical framework, language, and computer-based environment for conceiving, representing, and manipulating a wide variety of model. It provides a natural framework for integrated modeling owing to its explicit representation power for computational dependencies among submodles. Nevertheless, it doesn't seem to offer a systematic way of composing a structured model from submodels. In order to develop a systematic way, this paper discusses three key issues : (1) Genus structure for model composition, (2) Storage of structured models, and (3) Integration of structured models. To formalize and visualize the approach, a programming module is developed to implemented the step-by-step integration.

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Composing a structured model from validated submodels for effective model management

  • Suh, Chang-Kyo;Suh, Eui-Ho
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1990.04a
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    • pp.49-60
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    • 1990
  • Structured modeling provides a formal mathematical framework, language, and computer-based environment for conceiving, representing, and manipulating a wide variety of models. It provides a natural framework for integrated modeling owing to its explicit representation power for computational dependencies among submodels. Nevertheless, it doesn't seem to offer a systematic way of composing a structured model from submodels. In order to develop a systematic way, this paper discusses three key issues; (1) Genus structure of validated submodel, (2) Storing method of genus structure, and (3) Integration of genus structures to generate a new genus structure. To visualize the approach, a programming module is developed to implement the step-by-step integration.

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Integrated Design System using MDO and Approximation Technique (MDO 통합 설계 시스템을 위한 근사기법의 활용)

  • 양영순;박창규;장범선;유원선
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.04a
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    • pp.275-283
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    • 2004
  • The paper describes the integrated design system using MDO and approximation technique. In MDO related research, final target is an integrated and automated MDO framework systems. However, in order to construct the integrated design system, the prerequisite condition is how much save computational cost because of iterative process in optimization design and lots of data information in CAD/CAE integration. Therefore, this paper presents that an efficient approximation method, Adaptive Approximation, is a competent strategy via MDO framework systems.

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A Study on National Defense Enterprise Architecture Framework (국방 전군적 아키텍처 프레임워크에 관한 연구)

  • 이태공;김진우
    • Journal of the military operations research society of Korea
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    • v.29 no.2
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    • pp.45-60
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    • 2003
  • As we live in real If era, If become a mandatory component for nations and organizations to survive in severe competition. If is also thought of as strategic asset for effective business operations, yet there is no proved statement on the interoperability and system integration which causes serious problem in terms of requirement engineering among current systems. The National Defense Enterprise Architecture Framework is a strategic information asset base, which define the military operation activities for the mission, the information necessary for military operations, the technologies necessary for implementing new technology in response to changing operational needs. It is an integrated model or representation. Information Systems will be evolved by the National Defense Enterprise Architecture framework. The purpose of this framework is to present overall picture of national defense information system domain so that information systems are interoperated, integrated and information sharing is increased among affiliated organization of Defense Military.

Multi-level Product Information Modeling for Managing Long-term Life-cycle Product Information (수명주기가 긴 제품의 설계정보관리를 위한 다층 제품정보 모델링 방안)

  • Lee, Jae-Hyun;Suh, Hyo-Won
    • Korean Journal of Computational Design and Engineering
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    • v.17 no.4
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    • pp.234-245
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    • 2012
  • This paper proposes a multi-level product modeling framework for long-term lifecycle products. The framework can help engineers to define product models and relate them to physical instances. The framework is defined in three levels; data, design model, modeling language. The data level represents real-world products, The model level describes design models of real-world products. The modeling language level defines concepts and relationships to describe product design models. The concepts and relationships in the modeling language level enable engineers to express the semantics of product models in an engineering-friendly way. The interactions between these three levels are explained to show how the framework can manage long-term lifecycle product information. A prototype system is provided for further understanding of the framework.

The Architecture of Power system Communication Service UIB based Server Client (서버클라이언트 구조의 전력통신서비스 UIB 설계)

  • Park, Jeong-Jin;Kim, Gun-Joong;Hwang, In-Jun;Yang, Min-Ook;Mungkhpurev, Mungkhpurev;Shin, Man-Cheol;Oh, Sung-Kyun
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.590-591
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    • 2007
  • Legacy utilities can not adapt to changing business conditions without having complete control of operational systems and a flexible infrastructure that supports change. What is needed is a framework that enables data to be coalesced and transformed in to usable knowledge. This framework should be robust enough to that as new situations arise, information can be shared in ways not previously anticipated. Utility Integration Bus (UIB) provides an integration framework which solves many of these issues while controlling complexity. This paper provides UIB's overview and course.

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The Applicability of Avionics Simulation Model Framework by Analyzing the Performance (항공용 시뮬레이션 모델 프레임워크 성능 분석을 통한 적용성 평가)

  • Seo, Min-gi;Cho, Yeon-je;Shin, Ju-chul;Baek, Gyong-hoon;Kim, Seong-woo
    • Journal of Advanced Navigation Technology
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    • v.25 no.5
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    • pp.336-343
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    • 2021
  • Avionics corresponds to the brain, nerves and five senses of an aircraft, and consists of aircraft mounted electronic equipment of communication, identification, navigation, weapon, and display systems to perform flight and missions. It occupies about 50% of the aircraft system, and its importance is increasing as the technology based on the 4th industrial revolution is developed. As the development period of the aircraft is getting shorter, it is definitely necessary to develop a stable avionics SIL in a timely manner for the integration and verification of the avionics system. In this paper, we propose a method to replace the legacy SIL with the avionics simulation model framework based one and evaluate the framework based on the result of alternative application.

Integrating OpenSees with other software - with application to coupling problems in civil engineering

  • Gu, Quan;Ozcelik, Ozgur
    • Structural Engineering and Mechanics
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    • v.40 no.1
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    • pp.85-103
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    • 2011
  • Integration of finite element analysis (FEA) software into various software platforms is commonly used in coupling systems such as systems involving structural control, fluid-structure, wind-structure, soil-structure interactions and substructure method in which FEA is used for simulating the structural responses. Integrating an FEA program into various other software platforms in an efficient and simple way is crucial for the development and performance of the entire coupling system. The lack of simplicity of the existing integration methods makes this integration difficult and therefore entails the motivation of this study. In this paper, a novel practical technique, namely CS technique, is presented for integrating a general FEA software framework OpenSees into other software platforms, e.g., Matlab-$Simulink^{(R)}$ and a soil-structure interaction (SSI) system. The advantage of this integration technique is that it is efficient and relatively easy to implement. Instead of OpenSees, a cheap client handling TCL is integrated into the other software. The integration is achieved by extending the concept of internet based client-server concept, taking advantage of the parameterization framework of OpenSees, and using a command-driven scripting language called tool command language (TCL) on which the OpenSees' interface is based. There is no need for any programming inside OpenSees. The presented CS technique proves as an excellent solution for the coupling problems mentioned above (for both linear and nonlinear problems). Application examples are provided to validate the integration method and illustrate the various uses of the method in the civil engineering.

Development of a Distributed Computing Framework far Implementing Multidisciplinary Design Optimization (다분야통합최적설계를 지원하는 분산환경 기반의 설계 프레임워크 개발)

  • Chu M. S.;Lee S. J.;Choi D.-H.
    • Korean Journal of Computational Design and Engineering
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    • v.10 no.2
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    • pp.143-150
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    • 2005
  • A design framework to employ the multidisciplinary design optimization technologies on a computer system has been developed and is named as the Extensible Multidisciplinary Design Integration and Optimization System (EMDIOS). The framework can not only effectively solve complex system design problems but also conveniently handle MDO problems. Since the EMDIOS exploits both state-of-the-art of computing capabilities and sophisticated optimization techniques, it can overcome many scalability and complexity problems. It can make users who are not even familiar with the optimization technology use EMDIOS easily to solve their design problems. The client of EMDIOS provides a front end for engineers to communicate the EMDIOS engine and the server controls and manages various resources luck as scheduler, analysis codes, and user interfaces. EMDIOS client supports data monitoring, design problem definition, request for analyses and other user tasks. Three main components of the EMDIOS are the Engineering Design Object Model which is a basic idea to construct EMDIOS, EMDIOS Language (EMDIO-L) which is a script language representing design problems, and visual modeling tools which can help engineers define design problems using graphical user interface. Several example problems are solved and EMDIOS has shown various capabilities such as ease of use, process integration, and optimization monitoring.