• Title/Summary/Keyword: Modeling Framework

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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.

A Framework Development for BIM-based Object-Oriented Physical Modeling for Building Thermal Simulation (객체지향 물리적 모델링 기법을 활용한 BIM기반 통합 건물에너지 성능분석 모델 구축 및 활용을 위한 프레임워크 개발 - 건물 열부하 시뮬레이션 중심으로 -)

  • Jeong, WoonSeong
    • KIEAE Journal
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    • v.15 no.5
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    • pp.95-105
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    • 2015
  • Purpose: This paper presents a framework development for BIM (Building Information Modeling)-based OOPM (Object-Oriented Physical Modeling) for Building Thermal Simulation. The framework facilitates decision-making in the design process by integrating two object-oriented modeling approaches (BIM and OOPM) and efficiently providing object-based thermal simulation results into the BIM environment. Method: The framework consists of a system interface between BIM and OOPM-based building energy modeling (BEM) and the visualization of simulation results for building designers. The interface enables a BIM models to be translated into OOPM-based BEM automatically and the thermal simulation from the created BEM model immediately. The visualization module enables the simulation results to be presented in BIM for building designers to comprehend the relationships between design decisions and the building performances. For the framework implementation, we utilized the Modelica Buildings Library developed by the Lawrence Berkeley National Laboratory as a thermal simulation solver. We also conducted an experiment to validate the framework simulation results and demonstrate our framework. Result: This paper demonstrates a new methodology to integrate BIM and OOPM-based BEM for building thermal simulation, which enables an automatic translation BIM into OOPM-based BEM with high efficiency and accuracy.

Framework for Component-based Modeling/Simulation of Discrete Event Systems

  • Cho, Young-Ik;Kim, Jae-Hyun;Kim, Tag-Gon
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.484-484
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    • 2001
  • The sophistication of current software applications results in the increasing cost fur software development time. The component-based software development framework is proposed to overcome the difficulty and time-consuming requirements by modularity and reusability. As is the general software case, a component-based simulation framework encourages the reusability of the real system model based on the modularity of the applied simulation methodology. This paper presents a component-based simulation environment that is based on the DEVS/COM run-time infrastructure. The DEVS (Discrete Event System Specification) formalism provides a formal modeling and simulation framework for the generic dynamic systems [1] and Microsoft's COM (Component Object Model) is one of the strongest competitor fur the component standard. The reusability by the DEVS/COM simulation environment saves model development time remarkably and component technology make simulator itself to be a subparts of real application.

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Development of a Physics-Based Design Framework for Aircraft Design using Parametric Modeling

  • Hong, Danbi;Park, Kook Jin;Kim, Seung Jo
    • International Journal of Aeronautical and Space Sciences
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    • v.16 no.3
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    • pp.370-379
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    • 2015
  • Handling constantly evolving configurations of aircraft can be inefficient and frustrating to design engineers, especially true in the early design phase when many design parameters are changeable throughout trade-off studies. In this paper, a physics-based design framework using parametric modeling is introduced, which is designated as DIAMOND/AIRCRAFT and developed for structural design of transport aircraft in the conceptual and preliminary design phase. DIAMOND/AIRCRAFT can relieve the burden of labor-intensive and time-consuming configuration changes with powerful parametric modeling techniques that can manipulate ever-changing geometric parameters for external layout of design alternatives. Furthermore, the design framework is capable of generating FE model in an automated fashion based on the internal structural layout, basically a set of design parameters describing the structural members in terms of their physical properties such as location, spacing and quantities. The design framework performs structural sizing using the FE model including both primary and secondary structural levels. This physics-based approach improves the accuracy of weight estimation significantly as compared with empirical methods. In this study, combining a physics-based model with parameter modeling techniques delivers a high-fidelity design framework, remarkably expediting otherwise slow and tedious design process of the early design phase.

A hypertext-based integrated modeling environment(HIME)

  • Park, Sung-Joo;Kim, Hyung-Do;kim, Hyung-Do;Lee, Chang-Hee
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1993.04a
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    • pp.237-243
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    • 1993
  • This paper describes the design and implementation of a prototype modeling environment, Hypertext-based Integrated Modeling Environment(HIME). It implements a modeling framework, call Integrated Modeling Framework(IMF), which has been developed to increase model-related productivity and to integrate modeling knowledge and various information resources.

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Modeling and Simulation Framework for Assessing Interference in Multi-Hop Wireless Ad Hoc Networks

  • Woo, Shin-Uk;Hong, Jin-Pyo;Kim, Hwang-Nam
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.3 no.1
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    • pp.26-51
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    • 2009
  • In this paper, we propose an empirical framework for modeling and emulating interference in multi-hop wireless ad-hoc networks. Wireless interference causes wide variation in the frame delivery rate at a link, and thus we cannot represent the state of the link with only two states, connected state and disconnected state, as in wired networks. We first investigate wireless interference in detail, in order to accurately calibrate the interference and identify its underlying attributes, and then we simulate the diverse occurrences and effects of interference, after incorporating the scheme into a simulation tool. Based on these observations, we devise a modeling and simulation framework with several control parameters, and perform an extensive set of simulation studies. The simulation results indicate that the proposed framework enables us to examine various attributes of wireless interferences and their effects on wireless network protocols and systems.

Learning Analytics Framework on Metaverse

  • Sungtae LIM;Eunhee KIM;Hoseung BYUN
    • Educational Technology International
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    • v.24 no.2
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    • pp.295-329
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    • 2023
  • The recent development of metaverse-related technology has led to efforts to overcome the limitations of time and space in education by creating a virtual educational environment. To make use of this platform efficiently, applying learning analytics has been proposed as an optimal instructional and learning decision support approach to address these issues by identifying specific rules and patterns generated from learning data, and providing a systematic framework as a guideline to instructors. To achieve this, we employed an inductive, bottom-up approach for framework modeling. During the modeling process, based on the activity system model, we specifically derived the fundamental components of the learning analytics framework centered on learning activities and their contexts. We developed a prototype of the framework through deduplication, categorization, and proceduralization from the components, and refined the learning analytics framework into a 7-stage framework suitable for application in the metaverse through 3 steps of Delphi surveys. Lastly, through a framework model evaluation consisting of seven items, we validated the metaverse learning analytics framework, ensuring its validity.

Development of an object-oriented model management framework for computer executable algebraic modeling languages (최적화 모델링 언어를 위한 객체 지향 모형 관리 체계의 개발)

  • 허순영
    • Korean Management Science Review
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    • v.11 no.2
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    • pp.43-63
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    • 1994
  • A new model management framework is proposed to accommodate wide-spreading algebraic modeling languages (AMLs), and to facilitate a full range of model manipulation functions. To incorporate different modeling conventions of the leading AMLs (AMPL, GAMS, and SML) homogeneously, generic model concepts are introduced as a conceptual basis and are embodied by the structural and operational constructs of an Object-Oriented Database Management System(ODBMS), enabling the framework to consolidate components of DSSs(database, modelbase, and associated solvers) in a single formalism effectively. Empowered by a database query language, the new model management framework can provide uniform model management commands to models represented in different AMLs, and effectively facilitate integration of the DSS components. A prototype system of the framework has been developed on a commercial ODBMS, ObjectStore, and a C++ programming language.

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″Issues in designing a Knowledge-based system to support process modeling″

  • Suh, Eui-Ho;Kim, Suyeon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.50-54
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    • 2001
  • Information systems development entails planning, analysis, design and construction phases. The analysis phase identifying user requirements is the most important of these phases. Since unidentified defects in the early phase causes increased work and costs as development proceeds, the quality of analysis results affects the quality of the resultant system. Major tasks in the analysis phase are data modeling and process modeling. Research on building a knowledge-based system for data modeling have been conducted much, however, not sufficiently for process modeling. As a system environment with high user interaction increases, research on process modeling methods and knowledge- based systems considering such environment are required. In this research, a process modeling framework for information systems with high user interaction is suggested and a knowledge-based system for supporting the suggested framework is implemented. A proposed model consists of the following tasks: event analysis, process analysis, and event/process interaction analysis. Event analysis identifies business events and their responses. Process analysis break down the processes of an enterprise into progressively increasing details. Decomposition begins at the function level and ends when the elementary process level is reached. Event/process interaction analysis verifies the results of process analysis and event analysis. A knowledge-based system for supporting a proposed process modeling framework is implemented in a web-based environment.

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Information-Based Hybrid Modeling Framework on the Systematic use of Artificial Neural-Networks (구조모델 개선을 위한 정보기반 하이브리드 모델링 기법)

  • Kim, JunHee;Jamshid, Ghaboussi
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.25 no.4
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    • pp.363-372
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    • 2012
  • In this study, a new information-based hybrid modeling framework is proposed. In the hybrid framework, a conventional mathematical model is complemented by the informational methods. The basic premise of the proposed hybrid methodology is that not all features of system response are amenable to mathematical modeling, hence considering informational alternatives. This may be because (i) the underlying theory is not available or not sufficiently developed, or (ii) the existing theory is too complex and therefore not suitable for modeling within building frame analysis. The role of informational methods is to model aspects that the mathematical model leaves out. Autoprogressive algorithm and self-learning simulation extract the missing aspects from a system response. In a hybrid framework, experimental data is an integral part of modeling, rather than being used strictly for validation processes. The potential of the hybrid methodology is illustrated through modeling complex hysteretic behavior of beam-to-column connections.