• 제목/요약/키워드: Modeling Methods

검색결과 3,820건 처리시간 0.035초

Study on muscle deformation and human body modeling (근육 변형 및 인체 모델링에 관한 연구)

  • 이환용;김명수;박찬모
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.752-757
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    • 1991
  • Recently, human body modeling with muscle deformation has become an attractive research area in computer animation. There are many modeling tools available for solids such as mechanical part. However, there are many limitations of these conventional methods in modeling flexible objects with delicate motions and shapes such as human bodies. In this paper we present a new modeling technique for human body with muscle deformation. Each muscle is represented as a generalized cylinder and its shape deformation is computed using simple algorithm. The human body is a union of muscles, bones, organs, etc. The modeling data are obtained from the information on the human anatomy. To demonstrate the feasibility of our method, we model several arm muscles and simulate the skin deformation. As a result we have obtained a realistic shape deformation.

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Application of 3-Dimensional Modeling in Mine Feasibility Study and Production (광산개발 타당성 평가 및 생산에 있어서 3차원 모델링 적용 사례)

  • Choi, Yong-Kun;Heo, Seung;Park, Joon-Young;Kim, Jang-Ha;Lee, Sung-Am
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2009년도 특별 심포지엄
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    • pp.89-100
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    • 2009
  • 3-dimensional modeling methods have been used in the every step of resource development; Exploration, reserve estimation, mine feasibility study, mine design and mine production. This report shows seven cases for which 3-dimensional modeling is used in resource development. Six projects deal with resource esimation, mine feasibility study and production. And another deals with mine rehabilitation. These cases show that 3-dimensional modeling method is beneficial to understand the real state of ore deposit and complex underground structures. Moreover, 3-dimensional modeling is the most efficient method for mine planning and management in the every step of resource development.

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Method of MBT Movement Modeling for Performance Analysis of SRMD System (근거리 미사일방어시스템 성능분석을 위한 전차 구동 모델링 기법)

  • Ha, Jong-Soo;Cho, Kyu-Gong
    • Journal of the Korea Institute of Military Science and Technology
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    • 제14권2호
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    • pp.173-180
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    • 2011
  • SRMD system which protects MBT from the threats in a short range is composed of 2 radars, 2 IRTs 1 CCU and 2 countermeasures. To analyze the performance of this system, there is a need to make the model of MBT on which this system is loaded. In this paper, a method of MBT movement modeling is proposed to fulfill the above need. The methods of the coordinate system transformation among the components and the modeling of a hull's traveling and a turret's turning are proposed. The method of the modeling of a pose variation caused by the vibrations is proposed and the results of the modeling are presented.

Sensor Modeling of KOMPSAT-2 Satellite Using Strip Image (스트립 영상을 이용한 KOMPSAT-2 위성 센서모델링)

  • Kim, Sang-Pil;Son, Hong-Gyu;Jo, Gyeong-Hun;Choi, Kang-Jo;Yoo, Son-Han
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 한국측량학회 2010년 춘계학술발표회 논문집
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    • pp.217-219
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    • 2010
  • Sensor modeling is the basic step to extract and to use the information from satellite images. Sensor modeling requires ground control points. If we use a single image, we have limitations on modeling about images captured from regions that we can not approach or take GCPs. In this research, we use strip images to do sensor modeling by two methods. At first, we apply sensor modeiling to single image and apply the results by extrapolation. Next, we consider strip images to single image. As a result, we find the second method is more accurate about whole image.

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Hierarchical Modeling Methodology for Contraint Simulations (제약조건이 있는 시뮬레이션을 위한 계층적 모델링 방법론)

  • 이강선
    • Journal of the Korea Society for Simulation
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    • 제9권4호
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    • pp.41-50
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    • 2000
  • We have many simulation constraints to meet as a modeled system becomes large and complex. Real-time simulations are the examples in that they are constrained by certain non-function constraints (e.g., timing constraints). In this paper, an enhanced hierarchical modeling methodology is proposed to efficiently deal with constraint-simulations. The proposed modeling method enhances hierarchical modeling methods to provide multi-resolution model. A simulation model is composed by determining the optimal level of abstraction that is guaranteed to meet the given simulation constraints. Four modeling activities are defined in the proposed method: 1) Perform the logical architectural design activity to produce a multi-resolution model, 2) Organize abstraction information of the multi-resolution model with AT (Abstraction Tree) structure, 3) Formulate the given constraints based on U (Integer Programming) approach and embrace the constraints to AT, and 4) Compose a model based on the determined level of abstraction with which the multi-resolution model can satisfy all given simulation constraints. By systematically handling simulation constraints while minimizing the modeler's interventions, we provide an efficient modeling environment for constraint-simulations.

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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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    • 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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Effects of numerical modeling simplification on seismic design of buildings

  • Raheem, Shehata E Abdel;Omar, Mohamed;Zaher, Ahmed K Abdel;Taha, Ahmed M
    • Coupled systems mechanics
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    • 제7권6호
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    • pp.731-753
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    • 2018
  • The recent seismic events have led to concerns on safety and vulnerability of Reinforced Concrete Moment Resisting Frame "RC-MRF" buildings. The seismic design demands are greatly dependent on the computational tools, the inherent assumptions and approximations introduced in the modeling process. Thus, it is essential to assess the relative importance of implementing different modeling approaches and investigate the computed response sensitivity to the corresponding modeling assumptions. Many parameters and assumptions are to be justified for generation effective and accurate structural models of RC-MRF buildings to simulate the lateral response and evaluate seismic design demands. So, the present study aims to develop reliable finite element model through many refinements in modeling the various structural components. The effect of finite element modeling assumptions, analysis methods and code provisions on seismic response demands for the structural design of RC-MRF buildings are investigated. where, a series of three-dimensional finite element models were created to study various approaches to quantitatively improve the accuracy of FE models of symmetric buildings located in active seismic zones. It is shown from results of the comparative analyses that the use of a calibrated frame model which was made up of line elements featuring rigid offsets manages to provide estimates that match best with estimates obtained from a much more rigorous modeling approach involving the use of shell elements.

Attack Modeling for an Internet Security Simulation (인터넷 보안 시뮬레이션을 위한 공격 모델링)

  • Seo, Jung-Kuk;Choi, Kyung-Hee;Jung, Gi-Hyun;Park, Seung-Kyu;Sim, Jae-Hong
    • The KIPS Transactions:PartC
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    • 제11C권2호
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    • pp.183-192
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    • 2004
  • As the use of the Internet has explosively increased, it is likely for the Internet to be exposed to various attacks. Modeling the Internet attacks is essential to simulate the attacks. However, the existing studies on attack modeling have mainly focused on classifying and categorizing the attacks and consequently they are not suitable to representing attack scenarios in the Internet security simulation. In this paper, we introduce the existing methods of attack modeling, and propose an adapted attack modeling to properly express the properties for the Internet security simulator. The adapted attack modeling suggests a solution to the problems of the existing attack tree modelings, such as difficulty of composing complex scenarios ambiguity of attack sequence, lack of system state information. And it can represent simultaneous, precise time-dependent attack, and attack period, which are nearly impossible to be represented in many other existing methods.

Efficient parameters to predict the nonlinear behavior of FRP retrofitted RC columns

  • Mahdavi, Navideh;Ahmadi, Hamid Reza;Bayat, Mahmoud
    • Structural Engineering and Mechanics
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    • 제70권6호
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    • pp.703-710
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    • 2019
  • While fiber-reinforced plastic (FRP) materials have been largely used in the retrofitting of concrete buildings, its application has been limited because of some problems such as de-bonding of FRP layers from the concrete surface. This paper is the part of a wide experimental and analytical investigation about flexural retrofitting of reinforced concrete (RC) columns using FRP and mechanical fasteners (MF). A new generation of MF is proposed, which is applicable for retrofitting of RC columns. Furthermore, generally, to evaluate a retrofitted structure the nonlinear static and dynamic analyses are the most accurate methods to estimate the performance of a structure. In the nonlinear analysis of a structure, accurate modeling of structural elements is necessary for estimation the reasonable results. So for nonlinear analysis of a structure, modeling parameters for beams, columns, and beam-column joints are essential. According to the concentrated hinge method, which is one of the most popular nonlinear modeling methods, structural members shall be modeled using concentrated or distributed plastic hinge models using modeling parameters. The nonlinear models of members should be capable of representing the inelastic response of the component. On the other hand, in performance based design to make a decision about a structure or design a new one, numerical acceptance should be determined. Modeling parameters and numerical acceptance criteria are different for buildings of different types and for different performance levels. In this paper, a new method was proposed for FRP retrofitted columns to avoid FRP debonding. For this purpose, mechanical fasteners were used to achieve the composite behavior of FRP and concrete columns. The experimental results showed that the use of the new method proposed in this paper increased the flexural strength and lateral load capacity of the columns significantly, and a good composition of FRP and RC column was achieved. Moreover, the modeling parameters and acceptance criteria were presented, which were derived from the experimental study in order to use in nonlinear analysis and performance-based design approach.

Bayesian methods in clinical trials with applications to medical devices

  • Campbell, Gregory
    • Communications for Statistical Applications and Methods
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    • 제24권6호
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    • pp.561-581
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    • 2017
  • Bayesian statistics can play a key role in the design and analysis of clinical trials and this has been demonstrated for medical device trials. By 1995 Bayesian statistics had been well developed and the revolution in computing powers and Markov chain Monte Carlo development made calculation of posterior distributions within computational reach. The Food and Drug Administration (FDA) initiative of Bayesian statistics in medical device clinical trials, which began almost 20 years ago, is reviewed in detail along with some of the key decisions that were made along the way. Both Bayesian hierarchical modeling using data from previous studies and Bayesian adaptive designs, usually with a non-informative prior, are discussed. The leveraging of prior study data has been accomplished through Bayesian hierarchical modeling. An enormous advantage of Bayesian adaptive designs is achieved when it is accompanied by modeling of the primary endpoint to produce the predictive posterior distribution. Simulations are crucial to providing the operating characteristics of the Bayesian design, especially for a complex adaptive design. The 2010 FDA Bayesian guidance for medical device trials addressed both approaches as well as exchangeability, Type I error, and sample size. Treatment response adaptive randomization using the famous extracorporeal membrane oxygenation example is discussed. An interesting real example of a Bayesian analysis using a failed trial with an interesting subgroup as prior information is presented. The implications of the likelihood principle are considered. A recent exciting area using Bayesian hierarchical modeling has been the pediatric extrapolation using adult data in clinical trials. Historical control information from previous trials is an underused area that lends itself easily to Bayesian methods. The future including recent trends, decision theoretic trials, Bayesian benefit-risk, virtual patients, and the appalling lack of penetration of Bayesian clinical trials in the medical literature are discussed.