• Proceedings of the Korean Nuclear Society Conference
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• 2003.10a
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• pp.225.1-225.1
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• 2003

• Communications for Statistical Applications and Methods
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• v.27 no.5
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• pp.547-568
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• 2020

Modeling the statistical autocorrelations in spatial data is often achieved through the estimation of the variograms, where the selection of the appropriate valid variogram model, especially for small samples, is crucial for achieving precise spatial prediction results from kriging interpolations. To estimate such a variogram, we traditionally start by computing the empirical variogram (traditional Matheron or robust Cressie-Hawkins or kernel-based nonparametric approaches). In this article, we conduct numerical studies comparing the performance of these empirical variograms. In most situations, the nonparametric empirical variable nearest-neighbor (VNN) showed better performance than its competitors (Matheron, Cressie-Hawkins, and Nadaraya-Watson). The analysis of the spatial groundwater dataset used in this article suggests that the wave variogram model, with hole effect structure, fitted to the empirical VNN variogram is the most appropriate choice. This selected variogram is used with the ordinary kriging model to produce the predicted pollution map of the nitrate concentrations in groundwater dataset.

• The Journal of Information Technology and Database
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• v.8 no.1
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• pp.41-65
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• 2001

This study proposes evaluation dimensions of object-oriented systems modelling tools and activities available in object-oriented systems development practices. The dimensions ale developed based on previous research in cognitive psychology, information systems modeling study, and object-oriented systems analysis arid design areas. The proposed dimension is composed of two dimensions. The one dimension includes abstraction levels of modelling and the other includes process and representation in modeling activities. Experts on object-oriented modeling were selected to evaluate the practical validity of the proposed dimensions and applications of major object-oriented modeling tools during systems development project. Most of the tools were observed to be used for representing objects rather than for modeling the process of related objects. The proposed modeling dimension will be evaluated for acquiring general validity in future empirical research.

• Journal of Astronomy and Space Sciences
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• v.40 no.1
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• pp.11-18
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• 2023

The ionosphere is one of the key components of the near-Earth's space environment and has a practical consequence to the human society as a nearest region of the space environment to the Earth. Therefore, it becomes essential to specify and forecast the state of the ionosphere using both the observations and numerical models. In particular, numerical modeling of the ionosphere is a prerequisite not only for better understanding of the physical processes occurring within the ionosphere but also for the specification and forecast of the space weather. There are several approaches for modeling the ionosphere, including data-based empirical modeling, physics-based theoretical modeling and data assimilation modeling. In this review, these three types of the ionospheric model are briefly introduced with recently available models. And among those approaches, fundamental aspects of the physics-based ionospheric model will be described using the basic equations governing the mid-latitude ionosphere. Then a numerical solution of the equations will be discussed with required boundary conditions.

• Research in Mathematical Education
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• v.27 no.2
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• pp.241-251
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• 2024

Mathematics educators have examined mathematical modeling, where students tackle authentic real-life problems and develop problem-solving strategies with a sense of agency. However, few empirical studies have been conducted to illuminate the developmental process of teachers' competencies in mathematical modeling, particularly for elementary school teachers. Scholars have noted that elementary mathematics teachers can effectively teach mathematical modeling by designing tasks that consider students' abilities and preferences. In this vein, this review paper introduces a study conducted by Jung (2023), which examines the developmental process of an elementary school mathematics teacher's competencies in mathematical modeling and how she overcame related challenges.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.3
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• pp.41-57
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• 2002

In this paper, I investigate the impact of quality management activities on the public sector within the framework of Malcolm Baldrige (MB) national qualify model. The Structural Equation Modeling approach has been employed to investigate the cross influences among the seven MB categories. This empirical study shows that a number of statistical hypotheses are significant. The leadership category is the most important driver among the quality management activities. This, in turn, implies that the main source in quality management is to foster a solid qualify oriented leadership system. Categories such as Information Analysis, Strategic Planning, Human Resource Development and Management, and Process Management are significantly related to the Customer Satisfaction category. In addition, leadership, Information Analysis, and Customer Satisfaction categories ere significantly influential to Management Performance.

• Knowledge Management Research
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• v.11 no.3
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• pp.13-29
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• 2010

This study aims to investigate the effect of mentoring functions (career development, role modeling, and psychosocial function) on the motivation to adopt knowledge and the success of knowledge transfer in formal mentoring relations. There are considerable empirical investigation into the antecedents and consequences of mentoring, such as organizational commitment, organizational citizenship behavior, job satisfaction, In this paper, based on the relevant literatures, hypotheses are established and empirically tested that are about the effect of mentoring functions on the motivation to adopt knowledge, and the effect of motivation to adopt knowledge on the success of knowledge transfer. Using a sample of 287 service industry employees, the empirical results shows that career development and role modeling functions ware positively related to motivation to adopt knowledge, but psychosocial function was not significantly related. In addition, the motivation to adopt knowledge was positively related to the success of knowledge transfer. Based on these findings, implication and future direction are discussed.

• Proceedings of the Korean Nuclear Society Conference
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• 1998.05a
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• pp.833-837
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• 1998

This paper presents preliminary findings regarding a modeling framework under development for use in a multi-attribute decision model for advanced emergency operating procedures(EOPs). This model provides a means for optimal decision making strategy for advanced emergency operating procedures conceptualizing the dynamic coordination of responsibilities and information in the human system interactions with advanced reactor systems. For the purpose of evaluation of the applicability of this modeling framework, an empirical case study for a post-cooldown strategy during an steam generator tube rupture (SGTR) accident was carried out. As a result, it was found empirically that the multi-attribute decision model is a useful tool for establishing advanced EOPs that reduce the operator's cognitive and decision making burden during the accident mitigation process.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.5
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• pp.705-711
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• 2012

The purpose of this study is to develop the model to estimate the penetration rate of metal under a high power continuous wave laser irradiation. To estimate it, an empirical modeling is more practical when the penetration phenomena of metal by laser irradiation is too complex to be analyzed by the numerical simulation. When several methods published earlier were applied to our results, we found out that their methods were not appropriate as the model. Therefore, we suggested the new empirical method considering effective intensity as a key variable. As a result, we confirmed that the new method was effective to model the penetration rate of SUS304 metal and expected that it could be available to other metals.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.407-408
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• 2019

This thesis determines the research framework and scale design of leisure food E-Commerce consumer satisfaction degree by referring to previous theoretical model of customer satisfaction degree, the universal satisfaction evaluation index system, and the characteristics of leisure food E-Commerce in China. In this research, consumers who have bought leisure food online are taken as the research object, data are collected by questionnaires, and exploratory factor method is used to screen valid sample data. Through the Empirical Analysis which includes Descriptive Statistical Analysis, Reliability and Validity Analysis and Structural Equation Modeling, it is concluded that website design, logistics delivery service, commodity quality, and after-sales service are the main service quality on which the Leisure food E-Commerce enterprises should take focus. The service quality has significant positive influences on satisfaction degree. On the other hand consumer satisfaction has a significant positive influence on customer loyalty, which will create more earnings for the Leisure food E-Commerce enterprises.