• 제목/요약/키워드: Quantitative Modeling

검색결과 652건 처리시간 0.022초

Wooden framed structures with semi-rigid connections: Quantitative approach focused on design needs

  • Santana, C.L.O.;Mascia, N.T.
    • Structural Engineering and Mechanics
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    • 제31권3호
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    • pp.315-331
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    • 2009
  • Mechanical connections are recognized as extremely important elements in the aspect of strength and structural safety. However, classical structural model does not consider the connection stiffness properties, and are based on models with pinned or rigid joints only. In fact, mechanical connections are deformable and behave not linearly, affecting the whole structure and inducing nonlinear behavior as well. The quantification of this effect, however, depends on the description of the working of the connectors and the wood response under embedment. The theoretical modeling of wood structures with semi-rigid connections involves not only the structural analysis, but also the modeling of both single and grouped moment resisting connectors and the study of the wood properties under embedment. The proposal of this paper is to approach these aspects, and to quantitatively study the influence of the moment resistant connection in wooden framed structures. Comparisons between rigid and semi-rigid connections and between linear and nonlinear analysis lead to quantitative results.

뇌 PET 영상 정량화 및 파라메터영상 구성을 위한 선형분석기법 (Linearized Methods for Quantitative Analysis and Parametric Mapping of Brain PET)

  • 김수진;이재성
    • Nuclear Medicine and Molecular Imaging
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    • 제41권2호
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    • pp.78-84
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    • 2007
  • Quantitative analysis of dynamic brain PET data using a tracer kinetic modeling has played important roles in the investigation of functional and molecular basis of various brain diseases. Parametric imaging of the kinetic parameters (voxel-wise representation of the estimated parameters) has several advantages over the conventional approaches using region of interest (ROI). Therefore, several strategies have been suggested to generate the parametric images with a minimal bias and variability in the parameter estimation. In this paper, we will review the several approaches for parametric imaging with linearized methods which include graphical analysis and mulilinear regression analysis.

Win-Road Simulation을 활용한 고속도로 중앙분리대 시선유도도장에 대한 경관선호도 분석 (Landscape Preference of the Guide Coating in the Median Barrier on the Expressway by Win-Road Simulation)

  • 김태균;최재영;이문영;금기정
    • 한국도로학회논문집
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    • 제15권3호
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    • pp.117-125
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    • 2013
  • PURPOSES: By conducting the landscape survey that considered landscape factors of the Guide Coating in the Median Barrier that applied of the various level by simulating of the Guide Coating in the Median Barrier on the expressway, they showed the quantitative standard of landscape preference factors that the Guide Coating gives. METHODS: The shape of the Structural Equation Modeling used AMOS program and made a shape that is made of landscape preference for the Guide Coating in the Median Barrier on the expressway a dependent variable. RESULTS: Result in this, they showed that functionality and emotionalism are the factors that affect the landscape preference. CONCLUSIONS: In the main study, not only showing the Guide Coating in the Median Barrier on the expressway landscape valuation but also embodying the Structural Equation Modeling(SEM) of each group, knowing the Guide Coating and unknowing the Guide Coating. By embodying this, they could study that the drivers' quantitative standard is different when the Guide Coating become first applied and being changed after.

EPCIS Event 데이터 모델링과 시뮬레이션 검증 연구 (A Study on the EPCIS Event Data Modeling and Simulation Test)

  • 이종석;이태윤;박설화;다단;이창호
    • 대한안전경영과학회지
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    • 제11권2호
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    • pp.137-144
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    • 2009
  • EPCIS(EPC Information Services) system is a core component of EPCglobal Architecture Framework offering information of the freights, the time of awareness and the location of awareness on the EPCglobal Network. The role of EPCIS is to exchange information based on EPC. There are four kinds of event data which are object event data, aggregation event data, quantity event data, and transaction event data. These EPCIS events data are stored and managed in EPCIS repository. This study suggest the quantitative modeling about total number of EPCIS event data under the assumption to aware the RFID tags of items, cases(boxes), vehicles(carriers, forklifts, auto guided vehicles, rolltainers) at a time on the reading points. We also estimate the number of created EPCIS event data by the suggested quantitative modeling under scenario of process in the integrated logistics center based on RFID system And this study compare the TO-BE model with the AS-IS model about the total sizes of created EPCIS event data using the simulation, in which we suggested the TO-BE model as the development of the repository by skipping the overlapped records.

Multi-Parametric Quantitative MRI for Measuring Myelin Loss in Hyperglycemia-Induced Hemichorea

  • Youn, Sung Won;Kwon, Oh Dae;Hwang, Moon Jung
    • Investigative Magnetic Resonance Imaging
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    • 제23권2호
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    • pp.148-156
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    • 2019
  • Hyperglycemia-induced hemichorea (HGHC) is a rare but characteristic hyperkinetic movement disorder involving limbs on one side of the body. In a 75-year-old woman with a left-sided HGHC, conventional brain MR imaging showed very subtle T1-hyperintensity and unique gadolinium enhancement in the basal ganglia contralateral to movements. Multi-parametric MRI was acquired using pulse sequence with quantification of relaxation times and proton density by multi-echo acquisition. Myelin map was reconstructed based on new tissue classification modeling. In this case report of multi-parametric MRI, quantitative measurement of myelin change related to HGHC in brain structures and its possible explanations are presented. This is the first study to demonstrate myelin loss related to hyperglycemic insult in multi-parametric quantitative MR imaging.

정량적 구조-활성 상관 관계와 생리학 기반 약물동태를 사용한 새로운 선도물질 최적화 전략 (Novel Lead Optimization Strategy Using Quantitative Structure-Activity Relationship and Physiologically-Based Pharmacokinetics Modeling)

  • 변진주;박민호;신석호;신영근
    • 약학회지
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    • 제59권4호
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    • pp.151-157
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    • 2015
  • The purpose of this study is to demonstrate how lead compounds are best optimized with the application of in silico QSAR and PBPK modeling at the early drug discovery stage. Several predictive QSAR models such as $IC_{50}$ potency model, intrinsic clearance model and brain penetration model were built and applied to a set of virtually synthesized library of the BACE1 inhibitors. Selected candidate compounds were also applied to the PBPK modeling for comparison between the predicted animal pharmacokinetic parameters and the observed ones in vivo. This novel lead optimization strategy using QSAR and PBPK modelings could be helpful to expedite the drug discovery process.

Assessment of Mathematical Creativity in Mathematical Modeling

  • Jang, Hong-Shick
    • 한국수학교육학회지시리즈D:수학교육연구
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    • 제15권2호
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    • pp.181-196
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    • 2011
  • In mathematical modeling tasks, where students are exposed to model-eliciting for real and open problems, students are supposed to formulate and use a variety of mathematical skills and tools at hand to achieve feasible and meaningful solutions using appropriate problem solving strategies. In contrast to problem solving activities in conventional math classes, math modeling tasks call for varieties of mathematical ability including mathematical creativity. Mathematical creativity encompasses complex and compound traits. Many researchers suggest the exhaustive list of criterions of mathematical creativity. With regard to the research considering the possibility of enhancing creativity via math modeling instruction, a quantitative scheme to scale and calibrate the creativity was investigated and the assessment of math modeling activity was suggested for practical purposes.

취약성 매트릭스를 이용한 사이버 공격 및 방어 모델링 (Cyber Attack and Defense Modeling Using Vulnerability Metrics)

  • 이장세;지승도;최규석
    • 한국시뮬레이션학회논문지
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    • 제13권3호
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    • pp.11-20
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    • 2004
  • The major objective of this paper is to perform modeling of cyber attack and defense using vulnerability metrics. To do this, we have attempted command level modeling for realizing an approach of functional level proposed by Nong Ye, and we have defined vulnerability metrics that are able to apply to DEVS(Discrete Event System Specification) and performed modeling of cyber attack and defense using this. Our approach is to show the difference from others in that (i) it is able to analyze behaviors of systems being emerged by interaction between functional elements of network components, (ii) it is able to analyze vulnerability in quantitative manner, and (iii) it is able to establish defense suitably by using the analyzed vulnerability. We examine an example of vulnerability analysis on the cyber attack and defense through case study.

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취약성 매트릭스를 이용한 사이버 공격 및 방어 모델링 (Cyber Attack and Defense Modeling Using Vulnerability Metrics)

  • 이장세;지승도
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2003년도 춘계학술대회논문집
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    • pp.191-198
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    • 2003
  • The major objective of this paper is to perform modeling of cyber attack and defense using vulnerability metrics. To do this, we have attempted command level modeling for realizing an approach of functional level proposed by Nong Ye, and we have defined vulnerability metrics that are able to apply to DEVS(Discrete Event System Specification) and performed modeling of cyber attack and defense using this. Our approach is to show the difference from others in that (ⅰ) it is able to analyze behaviors of system emerged by interaction with functional elements of components composing network and each other, (ⅱ) it is able to analyze vulnerability in quantitative manner, and (ⅲ) it is able to establish defense suitably by using the analyzed vulnerability. We examine an example of vulnerability analysis on the cyber attack and defense through case study.

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