• 대한인간공학회지
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• 제20권1호
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• pp.45-62
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• 2001

This study suggests a genetic algorithm-based partial least squares (GA-based PLS) method to select the design variables for building a usability model. The GA-based PLS uses a genetic algorithm to minimize the root-mean-squared error of a partial least square regression model. A multiple linear regression method is applied to build a usability model that contains the variables seleded by the GA-based PLS. The performance of the usability model turned out to be generally better than that of the previous usability models using other variable selection methods such as expert rating, principal component analysis, cluster analysis, and partial least squares. Furthermore, the model performance was drastically improved by supplementing the category type variables selected by the GA-based PLS in the usability model. It is recommended that the GA-based PLS be applied to the variable selection for developing a usability model.

• 한국시뮬레이션학회논문지
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• 제24권3호
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• pp.55-60
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• 2015

본 논문은 RUP (Relational Unified Process) 모델을 사용한 SBA (simulation-based acquisition)의 효과도를 분석하기 위한 환경을 제시하고 있다. RUP 모델이 갖는 4개의 각 단계는 요구사항 분석, 설계, 개발 및 테스트 모든 단계를 포함할 수 있다. RUP 모델을 적용할 경우 소프트웨어 개발을 각 단계에서 반복되는 개발의 형태로 명시할 수 있다. 이러한 모델의 특성은 국방 영역의 획득에 적절하게 활용할 수 있게 한다. 본 논문에서는 RUP 모델과 V프로세스 모델의 관계를 제시하여 국방획득의 적용성을 제시하였다. 특히, 이러한 이론을 기반으로 하여 어떻게 사용자 인터페이스를 개발 운용할 수 있는지를 제시하였다.

• 한국정보과학회논문지:소프트웨어및응용
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• 제37권4호
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• pp.252-263
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• 2010

임베디드 시스템의 개발에서 저전력을 소모하는 소프트웨어 개발에 대한 요구가 증대하고 있다. 따라서 임베디드 소프트웨어 개발 과정에서 소모 전력에 대한 정량적인 예측을 가능하도록 하는 연구가 늘어나고 있는 추세이다. 기존의 소모 전력 분석은 소스 코드를 중심으로 이루어져왔으나 분석을 위한 노력 및 시간이 많이 요구된다는 단점으로 인하여, 소프트웨어 모델 기반의 소모 전력 분석 기법에 관심을 두는 추세이다. 본 논문은 UML 모델 기반의 임베디드 소프트웨어 모델링 과정에서 설계 모델을 이용한 소모 전력 분석에 주안점을 두었으며, 이를 위하여 OMG가 개발한 MARTE 프로파일을 확장하였다. 이러한 확장은 별도의 분석용 모델을 개발하지 않고, UML 다이어그램을 이용한 소모 전력 분석이 가능하도록 한다.

• Computers and Concrete
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• 제5권3호
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• pp.217-241
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• 2008

In this paper, a total strain-based hysteretic material model based on MCFT is proposed for non-linear finite element analysis of reinforced concrete structures. Although many concrete models have been proposed for simulating behavior of structures under cyclic loading conditions, accurate simulations remain challenging due to uncertainties in materials, pitfalls of crude assumptions of existing models, and limited understanding of failure mechanisms. The proposed model is equipped with a fully generalized hysteresis rule and is formulated for 2D plane stress non-linear finite element analysis. The proposed model has been formulated in a tangent stiffness-based finite element scheme so that it can be used for most general finite element analysis packages. Moreover, it eliminates the need to check that tensile stresses can be transmitted across a crack. The tension stiffening model is a function of the bar orientation and any orientation can be accommodated. The proposed model has been verified with a series of experimental results of 2D RC planar panels. This study also demonstrates how parameters of the proposed model associated with cyclic damage modeling influences the pinched cyclic shear behavior.

• 제어로봇시스템학회논문지
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• 제7권8호
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• pp.689-696
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• 2001

Large-scale Multi-disciplinary Systems(LMS) such as transportation, aerospace, defense etc. are complex systems in which there are many subsystems, interfaces, functions and demanding performance requirements. Because many contractors participate in the development, it is necessary to apply methods of sharing common objectives and communicating design status effectively among all of the stakeholders. The processes and methods of systems engineering which includes system requirement analysis; functional analysis; architecting; system analysis; interface control; and system specification development provide a success-oriented disciplined approach to the project. This paper shows not only the methodology and the results of model-based systems engineering to Automated Guided Transit(AGT) system as one of LMS systems, but also propose the extension of the model-based tool to help manage a project by linking WBS (Work Breakdown Structure), work organization, and PBS (Product Breakdown Structure). In performing the model-based functional analysis, the focus was on the operation concept of an example rail system at the top-level and the propulsion/braking function, a key function of the modern automated rail system. The model-based behavior analysis approach that applies a discrete-event simulation method facilitates the system functional definition and the test and verification activities. The first application of computer-aided tool, RDD-100, in the railway industry demonstrates the capability to model product design knowledge and decisions concerning key issues such as the rationale for architecting the top-level system. The model-based product design knowledge will be essential in integrating the follow-on life-cycle phase activities. production through operation and support, over the life of the AGT system. Additionally, when a new generation train system is required, the reuse of the model-based database can increase the system design productivity and effectiveness significantly.

• Journal of applied mathematics & informatics
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• 제14권1_2호
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• pp.377-386
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• 2004

A technique that provides prediction intervals based on a model called an empirical linear model is discussed. The technique, high-dimensional empirical linear prediction (HELP), involves principal component analysis, factor analysis and model selection. HELP can be viewed as a technique that provides prediction (and confidence) intervals based on a factor analysis models do not typically have justifiable theory due to nonidentifiability, we show that the intervals are justifiable asymptotically.

• 한국디지털건축인테리어학회논문집
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• 제12권2호
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• pp.61-66
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• 2012

In space syntax, the mathmatical process to get a integration could be restrictive in understanding spatial configuration since it is based on only one behavior model. In this study, As another approach to spatial configuration analysis based on behavioral model, there is the simulation tracking analysis model that simulates the movements of human in the space and analyze them. In this study, the relationship between integration and behavioral model will be defined and the similarities and the differences between space syntax and the simulation tracking analysis model will be demonstrated. Furthermore, these two analysis models will be understood as a variety of tools that can analyze an object in multiple viewpoints.

• 한국환경교육학회지:환경교육
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• 제15권1호
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• pp.18-30
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• 2002

So far, the environmentally responsible behavior(ERB) model has been applied successfully to explain environment behaviors. But the ERB model has several limitations such as underestimation of social factors on environment behaviors. This study planned to point out that the emotional aspects should be considered seriously for explaining human's behaviors to conserve the environment in the ERB model. In this study, the effects of emotional aspects, such as perceived severity or perceived danger, on environment behaviors were investigated and the protective motivation theory(Rogers, 1983) and the ERB-based tentative model were compared Results showed that teenagers in urban areas realized clearly the severity and danger of environmental threats and do environmentally responsible behaviors more than ones in rural areas. Two model's goodness of fit to explain observed environment behaviors were analyzed through the regression analysis and the AMOS analysis. In the regression analysis, self-efficacy, confirmity toward social norm, and knowledge were involved in the regression equation as statistically meaningful variables in the ERB-based tentative model and self-efficacy and perceived severity were involved in the protective motivation theory. Especially, the AMOS analysis showed that the protective motivation theory was more valid model lot explaining environment behaviors than the ERB-based tentative model. In conclusion, it is reasonable that emotional aspects should be considered as meaningful variables for explaining environment behaviors.

• Journal of Ship and Ocean Technology
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• 제10권2호
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• pp.11-23
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• 2006

The model exchange from CAD system to CAE system in valid and effective manner is the major issue of automatic analysis modelling of ship structure. However, model exchange approaches based on the neutral CAD file have resulted in invalid model exchange that could not properly reflect the characteristics of CAD model and CAE model of ship structure. This paper presents the new approach of n-to-n mapping to exchange ship structure model in heterogeneous CAD/CAE environments. In this study, the common model called 'unified ship model for analysis' to directly extract proper information from different CAD systems for ship structural analysis is proposed. Moreover, a command language based model interfacing technique to construct an idealized model for analysis job is also proposed. The proposed approach has been actually implemented in DSME CAD/CAE environment of ship structure such as TRIBON system, PATRAN system and FLUENT system. The applicability and effectiveness of the proposed approach was verified by applying it to the real analysis project for fore-body of ship and block lifting. This application results show that the proposed approach can be effectively used for heterogeneous CAD/CAE environment.

• ETRI Journal
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• 제43권2호
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• pp.272-287
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• 2021

This article presents a multi-dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between various crime categories. In this work, crime prediction is viewed as a classification problem. When predictions for a particular category are made, a binary classification-based model is framed, and when all categories are considered for analysis, a multiclass model is formulated. The proposed crime-prediction model (HotBlock) utilizes spatiotemporal analysis for predicting crime in a fixed spatial region over a period of time. It is robust under variation of model parameters. HotBlock's results are compared with baseline real-world crime datasets. It is found that the proposed model outperforms the standard DeepCrime model in most cases.