• 제목/요약/키워드: modeling, modeling and analysis

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

  • Suh, Eui-Ho;Kim, Suyeon
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2001년도 추계학술대회 논문집
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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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Case Analysis of Modeling Lessons

  • Noh, Jihwa
    • East Asian mathematical journal
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    • 제35권2호
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    • pp.217-237
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    • 2019
  • This Modeling is a cyclical process of creating and modifying models of empirical situations to understand them better and improve decisions. The role of modeling and teaching mathematical modeling in school mathematics has received increasing attention as generating authentic learning and revealing the ways of thinking that produced it. In this paper and interactive lecture session, we will review a subset of the related literature, discuss benefits and challenges in teaching and learning mathematical modeling, and share our attempts to improve traditional textbook problems so that they can become more authentic modeling activities and implications for instruction and assessment as well as for research.

R-function을 이용한 형상의 음함수 모델링 및 해석 (Geometric Implicit Function Modeling and Analysis Using R-functions)

  • 신헌주;신동우;김태완
    • 한국CDE학회논문집
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    • 제12권3호
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    • pp.220-232
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    • 2007
  • Current geometric modeling and analysis are commonly based on B-Rep modeling and a finite elements method respectively. Furthermore, it is difficult to represent an object whose material property is heterogeneous using the B-Rep method because the B-Rep is basically used for homogeneous models. In addition, meshes are required to analyze a property of a model when the finite elements method is applied. However, the process of generating meshes from B-Rep is cumbersome and sometimes difficult especially when the model is deformed as time goes by because the topology of deforming meshes are changed. To overcome those problems in modeling and analysis including homogeneous and heterogeneous materials, we suggest a unified modeling and analysis method based on implicit representation of the model using R-function which is suggested by Rvachev. For implicit modeling of an object a distance field is approximated and blended for a complex object. Using the implicit function mesh-free analysis is possible where meshes are not necessary. Generally mesh-free analysis requires heavy computational cost compared to a finite elements method. To improve the computing time of function evaluation, we utilize GPU programming. Finally, we give an example of a simple pipe design problem and show modeling and analysis process using our unified modeling and analysis method.

공작기계 구조물의 전산 모델링 자동화 (FEM Modeling Automation of Machine Tools Structure)

  • 이찬홍;하태호;이재학
    • 한국정밀공학회지
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    • 제29권10호
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    • pp.1043-1049
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    • 2012
  • The FEM analysis of machine tools is the general analysis process to evaluate machine performance in the industry for a long time. Despite advances in FEM software, because of difficult simplicity of CAD drawing, little experience of joints stiffness modeling and troublesome manual contact area divide for bindings, the industry designers think the FEM analysis is still an area of FEM analysis expert. In this paper, the automation of modeling process with simplicity of drawing, modeling of joints and contact area divide is aimed at easy FEM analysis to enlarge utilization of a virtual machine tools. In order to verify the effects of modeling automation, a slant bed type model with tilting table is analyzed. The results show FEM modeling automation method only needed 45 minutes to complete the whole modeling process, while manual modeling method requires almost one month with 8200 calculations for coordinate transformations and stiffness data input.

위성 PCB 열해석을 위한 고 전력소산 소자의 모델링 연구 (A Study of High-Power Dissipation Parts Modeling for Spacecraft PCB Thermal Analysis)

  • 이미현;장영근;김동운
    • 한국항공우주학회지
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    • 제34권6호
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    • pp.42-50
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    • 2006
  • 본 논문에서는 위성의 전장보드 열해석을 위한 최적의 열모델링 방법을 제안하였다. 플레이트 모델링 방법을 통한 보드 모델링에 고전력 소산 소자의 외부 및 내부 구조를 직접 모델링하는 방법을 새롭게 제안하였다. 이러한 모델링 방법을 다른 모델링과 비교 분석하여 효율성을 검토하였고 열진공 시험을 통해 검증하였다. 제시한 소자 모델링 방법으로 HAUSAT-2의 발열이 큰 통신보드의 열해석을 수행한 결과, 노드 네트워크 모델링 방법과 플레이트 모델링 방법의 단점을 모두 보완할 수 있었다. 또한, 소자 모델링 방법은 열적인 문제에 따른 소자 수준의 해결방안을 모색 후, 그에 따른 열해석을 수행하여 효과를 예측할 수 있으므로 열제어계 설계에도 효율적이다.

수학적 모델링 사례 분석을 통한 초등 수학에서의 지도 방안 연구 (Exploration of Teaching Method through Analysis of Cases of Mathematical Modeling in Elementary Mathematics)

  • 김민경;홍지연;김은경
    • 한국수학교육학회지시리즈A:수학교육
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    • 제48권4호
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    • pp.365-385
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    • 2009
  • Recently, mathematical modeling has been attractive in that it could be one of many efforts to improve students' thinking and problem solving in mathematics education. Mathematical modeling is a non-linear process that involves elements of both a treated-as-real world and a mathematics world and also requires the application of mathematics to unstructured problem situations in real-life situation. This study provides analysis of literature review about modeling perspectives, case studies about mathematical modeling, and textbooks from the United States and Korea with perspective which mathematical modeling could be potential and meaningful to students even in elementary school. Further, teaching method with mathematical modeling was investigated to see the possibility of application to elementary mathematics classroom.

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예비 수학 교사들의 수학적 모델링 및 그 교육적 활용에 대한 인식 (Pre-service mathematics teachers' perceptions on mathematical modeling and its educational use)

  • 한선영
    • 한국수학교육학회지시리즈A:수학교육
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    • 제58권3호
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    • pp.443-458
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    • 2019
  • 본 연구는 예비 수학 교사들의 수학적 모델, 수학적 모델링 및 수학적 모델링의 교육적 활용에 대한 인식을 조사하고 그들 간의 관계에 대하여 탐색하였다. 210명의 예비 수학 교사들의 설문에 대한 응답을 구조방정식 모형을 이용하여 양적 분석하였다. 연구 결과에 따르면, 예비 수학 교사들의 수학적 모델 및 모델링에 대한 인식은 수학적 모델링의 교육적 활용에 대한 인식에 영향을 미치는 것으로 나타났으며, 이에 대한 연구 및 교육적 함의점을 논의하였다.

A Study on Influential Factors in Mathematics Modeling Academic Achievement

  • Li, Mingzhen;Pang, Kun;Yu, Ping
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제13권1호
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    • pp.31-48
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    • 2009
  • Utilizing the path analysis method, the study explores the relationships among the influential factors in mathematics modeling academic achievement. The following conclusions are drawn: 1. Achievement motivation, creative inclination, cognitive style, the mathematical cognitive structure and mathematics modeling self-monitoring ability, those have significant correlation with mathematics modeling academic achievement; 2. Mathematical cognitive structure and mathematics modeling self-monitoring ability have significant and regressive effect on mathematics modeling academic achievement, and two factors can explain 55.8% variations of mathematics modeling academic achievement; 3. Achievement motivation, creative inclination, cognitive style, mathematical cognitive structure have significant and regressive effect on mathematics modeling self-monitoring ability, and four factors can explain 70.1% variations of mathematics modeling self-monitoring ability; 4. Achievement motivation, creative inclination, and cognitive style have significant and regressive effect on mathematical cognitive structure, and three factors can explain 40.9% variations of mathematical cognitive structure.

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플라스틱 자동차 손잡이 구조물의 구조해석에 관한 연구 (A Study on the Structural Analysis for Plastic Door Handle of Automobile)

  • 박서리;심동철;김도;류민영
    • 소성∙가공
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    • 제19권3호
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    • pp.185-190
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    • 2010
  • Application of CAE analyses are wide spread in shaping processes and structural safety verification of plastic products. The importance of CAE analysis and its contributions are getting increase since the processibility and structural safety of product can be predicted. CAE analysis for complex shaped product need a lot of time for modeling and computation compare with simpler one. Therefore careful simulation modeling is required for complex shaped product. Structural analysis for plastic door handle of automobile has been performed and structural safety has been investigated for various load directions and modeling cases. Large stress occurred at the hinge in handle regardless of load direction and modeling case. Consequently hinge is considered structurally very weak among the parts in plastic door handle. It is concluded that simple modeling rather than total modeling with adequate boundary condition equivalent to real situation gives reasonable computational results with saving modeling effort and computation time.

A Survey: application of geometric modeling techniques to ship modeling and design

  • Ko, Kwang-Hee
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제2권4호
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    • pp.177-184
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    • 2010
  • In this study, geometric modeling techniques and their application to ship modeling and design are presented. Traditionally the hull shape is defined by using curves called the lines and various necessary computations are performed based on the discrete points obtained from the lines. However, some applications find difficulty in using the lines such as seakeeping analysis, which requires the computation of wetted part that is changing dynamically over time. To overcome such a problem and increase accuracy and efficiency in computation, two essential geometric modeling techniques, surface modeling and surface-to-surface intersection, are introduced and their application to ship modeling and analysis including hydrostatic computation, slamming and seakeeping analyses is presented.