• Proceedings of the KSR Conference
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• 2011.10a
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• pp.1577-1582
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• 2011

Recently rapid construction of bridge is a main interest in construction. A research on rapid construction of pier coping is urgently needed because pier, which is a bridge understructure, directly affect lane reduction and increase of social cost. Precast assembly method and pre-assembly method are the main subjects of rapid construction. But these researches have focused not on reduction of reinforcement amount, but on modifying production method of coping. Reinforcement amount of design specification is as much as that of coping under constructing. So different approach is needed for reduction of reinforcement amount. In this paper, design of pier coping using strut-tie model was proposed for reduction of reinforcement amount and improvement of constructability. Railway bridge pier coping under constructing was analyzed using a finite element method and designed using strut-tie model.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.382-387
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• 2009

Requirement management is an important phase that has a significant influence on the project success. As a risk to a project fail is getting bigger, people adopt Systems Engineering method to the development of the effective requirement management. Accordingly, Railroad Safety Technology R&D Corps. is progressing the plan of the construction of Railway Safety Test Facilities as a part of the Railway Total Safety Project to enhance the railway safety, and carrying out researches on effective requirement management methods with Systems Engineering techniques. To support that, we introduce the Systems Engineering Requirement Management Process and propose the more effectual management method of constructing the Railway Safety Test Facilities applying the model-based systems engineering tool to the research.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1964-1969
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• 2008

A railway is a complex system integrated with a lot of technical elements such as rolling stock, power, signal control, communications, tracks, stations, operation control systems, and so on. As a mass transportation system, a railway could contain potential risks that may result in a high death rate and property losses. Accordingly, Railroad Safety Technology R&D Corps. is adopting the plan of the construction of Railway Safety Test Facilities as a part of the Railway Total Safety Project to enhance the railway safety, and carrying out researches on effective project management methods with Systems Engineering techniques. To support that, we propose the more effectual management method of constructing the Railway Safety Test Facilities applying the model-based systems engineering tool to the research.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.259-265
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• 2018

Compartment models, a type of mathematical model, have been widely applied to characterize the changes in a dynamic system with sequential events or processes, such as the spread of an epidemic disease. A compartment model comprises compartments, and the relations between compartments are depicted as boxes and arrows. This principle is similar to that of the system dynamics (SD) approach to constructing a simulation model with stocks and flows. In addition, both models are structured using differential equations. With this mutual and translatable principle, this study, in terms of SD, translates a reference SEIR model, which was developed in a recent study to characterize the transmission of the Middle East respiratory syndrome (MERS) in South Korea. Compared to the replicated result of the reference SEIR model (Model 1), the translated SEIR model (Model 2) demonstrates the same simulation result (error=0). The results of this study provide insight into the application of SD relative to constructing an epidemic compartment model using schematization and differential equations. The translated SD artifact can be used as a reference model for other epidemic diseases.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.301-304
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• 2002

Recently, database technologies have been used commonly. But, ordinary technologies aren't suitable to construct a complicated database such as a classical literature database or an archaeological relic's database. Because this kinds of data are semi-structured data that doesn't have regular structures, database schema can't be defined before databases. We have proposed DREAM model for semi-structured databases. In this model, a database consists of five elements and the model has operations similar to operation of set theory. And further we have introduced dynamic schema "shape" showing structure of each element. We have already realized a prototype of DBMS adopting DREAM model (DREAM DBMS) and constructing function of shapes. However, shape is imperfect to describe database structures because it can't explain nested structures of elements. In this paper, we will profuse a "shape graph"that is dynamic schema showing database structures more exactly and extend the DREAM DBMS. Further we will evaluate the performance of constructing function of shapes and shape graphs.

• Journal of the Korean Data and Information Science Society
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• v.10 no.2
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• pp.465-472
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• 1999

We considered a bootstrap method for constructing confidenc intervals for a one parameter model using multinomial sampling. The convergence rates or the proposed bootstrap method are calculated for model-based maximum likelihood estimators(MLE) using multinomial sampling. Monte Carlo simulation was used to compare the performance of bootstrap methods with normal approximations in terms of the average coverage probability criterion.

• Journal of the Korean Statistical Society
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• v.29 no.1
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• pp.95-108
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• 2000

Consider the oblique factor model X=Af＋$\varepsilon$, with defining relation $\Sigma$=Λ$\Phi$Λ'＋Ψ. This paper is concerned with suggesting an optimal Bayes criterion for determining the number of factors in the model, i.e. dimension of the vector f. The use of marginal likelihood as a method for calculating posterior probability of each model with given dimension is developed under a generalized conjugate prior. Then based on an appropriate loss function, a Bayes rule is developed by use of the posterior probabilities. It is shown that the approach is straightforward to specify distributionally and to imploement computationally, with output readily adopted for constructing required cirterion.

• Journal of Korean Society for Quality Management
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• v.30 no.2
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• pp.1-10
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• 2002

A performance evaluation model of an R&D module in the quality management system for M Company Is constructed using QFD. The company produces telecommunication devices and employs the performance evaluation model based on ISO 9000 family. However, the model has some problems, one of them is that all check items are regarded as equally important Customer requirements are gathered from internal customers and QFD is utilized to obtain weights for each check item.

• Journal of Korean Society for Quality Management
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• v.25 no.2
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• pp.102-111
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• 1997

In this paper I discuss a method of constructing the confidence region for the logistic response surface model. The construction involves a, pp.ication of a general fitting procedure because the log odds is linear in its parameters. Estimation of parameters of the logistic response surface model can be accomplished by maximum likelihood, although this requires iterative computational method. Using the asymptotic results, asymptotic covariance of the estimators can be obtained. This can be used in the construction of confidence regions for the parameters and for the logistic response surface model.

• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.171-186
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• 2018

Recent research has shown that elementary school students can experience epistemic affect -emotions and feelings experienced within epistemic practices, such as the enjoyment of having a wonderful idea or uncomfortable feeling of at a cognitive dissonance- during modeling process. This study explores how an introverted elementary student could participate in the modeling process by constructing an epistemic affect. Based on the theory of constructed emotion, we analyzed one elementary student's constructed epistemic affect using data resources such as emotion diaries, video recordings, and post interviews. We selected one introverted student (a fifth grader), showing peripheral and full participation during modeling. Specifically, we explored which emotions were constructed when she participated in modeling peripherally -and which epistemic affect was constructed when she participated fully- during the construction, evaluation, and revision processes. The research results showed, first, that the introverted elementary student came to participate in the model construction process by constructing the epistemic affect called aha. Second, the results showed that she came to participate in the model revision process by constructing the epistemic affect called feeling that the reasoning was wrong when confronting the rebuttals of the other student. Finally, she came to participate in the model evaluation process by constructing the epistemic affect called dislike of another student's idea. Through our exploration of the constructed epistemic affect of the introverted elementary student, we deduced that it is important to help each student to construct an epistemic affect that facilitates his or her participation in modeling. Also, we discussed that it is important to understand the impact of the emotional load that can occur for each student, depending on the constructed past, present, and future emotions.