• Journal of Korean Biological Nursing Science
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• v.20 no.4
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• pp.221-227
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• 2018

Purpose: This study aimed to evaluate the effect of illness perception on depression and quality of life in patients with hemodialysis. Methods: This is a cross-sectional study using structural equation modeling. Depression, quality of life and cognitive and emotional illness perceptions were measured by the Center for Epidemiologic Studies Depression-10 (CESD-10), Short Form-36 version 2 (SF-36v2), and Brief Illness Perception Questionnaire (BIPQ) in 272 hemodialysis patients. Results: Prevalence of depression was 76.1%, and higher in female patients on hemodialysis. Cognitive illness perception had effect on depression and quality of life, while emotional illness perception had effect only on depression. Quality of life was explained 69.6% through depression (${\beta}=-.74$, t= -8.17) and cognitive illness perceptions (${\beta}=.21$, t= 3.06), while depression was explained 40.5% through cognitive (${\beta}=-.34$, t= -5.99) and emotional (${\beta}=.59$, t= 9.37) illness perceptions. Conclusion: In the inevitable choice of dialysis, illness perception could decrease depression and improve quality of life in hemodialysis patients.

• Journal of Korean Society of Transportation
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• v.23 no.4 s.82
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• pp.37-45
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• 2005

This paper presents a relationship between Nash bargaining game and Wardrop user equilibrium, which has been widely used in transportation modeling for route choice problem. Wardrop user equilibrium assumes that drivers in road network have perfect information on the traffic conditions and they choose their optimal paths without cooperation each other. In this regards, if the bargaining game process is introduced in route choice modeling, we may avoid the strong assumptions to some extent. For such purpose, this paper derives a theorem that Nash bargaining solution is equivalent to Wardrop user equilibrium as the barging process continues and prove it with some numerical examples. The model is formulated based on two-person bargaining game. and n-person game is remained for next work.

• Environmental and Resource Economics Review
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• v.19 no.2
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• pp.303-340
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• 2010

The Demilitarized Zone (DMZ) of Korea has been crucial not only for its buffering role between two Koreas, but also for the conservation of various resources across its premises. The objectives of this study is threefold. The first objective is to identify major resources that determine economic values of the DMZ and its vicinity. The second and third objectives are respectively to estimate conservation values of those resources using Choice Modeling and to test whether or not respondents living in different geographical locations have significantly different willingness to pay for the conservation. In a very conservative estimation, results showed that Korean adults have about 55,000 Won on average for conserving five major resources : the DMZ area, endangered species, cultural heritage items and sites, the Truce Village, and villages in the Civilian Conroal Zone. This equals the aggregate economic value of about 2,07 trillion Won. Moreover, significant regional differences were found in public benefits from conserving these major resources.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.115-123
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• 2018

This study is empirically intended to put forward the modeling and process improvement measures for the SCM capability in small venture firms. The findings are summarized as follows. There were strategic alliance, technological development and centralization in the modeling of strategic planning for supply chain, not the least of which is strategic alliance, followed by centralization and technological development. There were routing scheduling, network integration and third party logistics outsourcing in decision making, not the least of which was network integration. There were customer service management, productivity management and quality management in management control, not the least of which was quality management. And there were order management choice, pricing demand, shipment delivery and customer management in transaction support system, not the least of which was order management choice. As for the above-mentioned findings, to maximize the SCM capability and operate the optimized process in small venture firms, the existing strategic alliances can optimize the quality management and stabilize the transaction support system through the network sharing and integration from the perspective of relevant organizational members' capability and process improvement. And the strategic linkage between firms can maximize the integrated capability of information system beyond the simple exchange relation between electronic data, achieving a differentiated competitive advantage. Consequently, the systematization and centralization for the maximization of SCM capability, including the infrastructure construction based on the system compatibility and reliability for information integration, should be preceded before the modeling of the integrated capability for optimum supply chain and the best process management in the smart era.

• Journal of the Korean Institute of Intelligent Systems
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• v.5 no.4
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• pp.41-55
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• 1995

In this paper, an optimal idenfication method using fuzzy-neural networks is proposed for modeling of nonlinear complex systems. The proposed fuzzy-neural modeling implements system structure and parameter identification using the intelligent schemes together wlth optimization theory, linguistic fuzzy implication rules, and neural networks(NNs) from input and output data of processes. Inference type for this fuzzy-neural modeling is presented as simplified inference. To obtain optimal model, the learning rates and momentum coefficients of fuzzy-neural networks(FNNs) are tuned automatically using improved modified complex method and modified learning algorithm. For the purpose of its application to nonlinear processes, data for route choice of traffic problems and those for activateti sluge process of sewage treatment system are used for the purpose of evaluating the performance of the proposed fuzzy-neural network modeling. The results show that the proposed method can produce the intelligence model with higher accuracy than other works achieved previously.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.257-269
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• 2024

Purpose: The purpose of this study is to explain the pivotal role of the travel forecasting process in urban transportation planning. This study emphasizes the use of travel forecasting models to anticipate future traffic. Method: This study examines the methodology used in urban travel demand modeling within transportation planning, specifically focusing on the Urban Transportation Modeling System (UTMS). UTMS is designed to predict various aspects of urban transportation, including quantities, temporal patterns, origin-destination pairs, modal preferences, and optimal routes in metropolitan areas. By analyzing UTMS and its operational framework, this research aims to enhance an understanding of contemporary urban travel demand modeling practices and their implications for transportation planning and urban mobility management. Result: The result of this study provides a nuanced understanding of travel dynamics, emphasizing the influence of variables such as average income, household size, and vehicle ownership on travel patterns. Furthermore, the attraction model highlights specific areas of significance, elucidating the role of retail locations, non-retail areas, and other locales in shaping the observed dynamics of transportation. Conclusion: The study methodically addressed urban travel dynamics in a four-ward area, employing a comprehensive modeling approach involving trip generation, attraction, distribution, modal split, and assignment. The findings, such as the prevalence of motorbikes as the primary mode of transportation and the impact of adjusted traffic patterns on reduced travel times, offer valuable insights for urban planners and policymakers in optimizing transportation networks. These insights can inform strategic decisions to enhance efficiency and sustainability in urban mobility planning.

• Journal of Korean Elementary Science Education
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• v.35 no.3
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• pp.326-335
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• 2016

The purpose of this study is to devise the concept of properties of the light on learning progressions for 3-6 grade students in the elementary school. For the purpose, this study creates a construct map of the properties of the light. Ordered multiple-choice items were developed in view of the construct map and presented to 200, 3~6 grade students in the elementary school. A partial credit model of Rasch model was used to analyze the results of those items, and the learning progressions was devised from the analysis results. The study can be summarized as follows: the construct modeling approach was used to devise the properties of light on learning progressions. As a result, the concept was selected for the core standards of construct map. Based on the construct map, the multiple-choice items were developed for students' conceptual understanding. The items were analyzed using the partial credit model, and the analysis findings showed that they were appropriate to assess students about their level of understanding of the properties of light. Finally, learning progressions were devised with the use of item analysis results.

• Journal of Distribution Science
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• v.18 no.9
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• pp.45-53
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• 2020

Purpose: This study aims at investigating consumers' choice in online food purchasing behavior and the impact on repurchase for fresh food delivery which has recently shown rapid growth in Korea. The study focuses on the user experience factors af fecting satisfaction and intention to continuously use the online food market. Research design, data and methodology: The survey was conducted by 309 people who had purchased fresh food online, and the analysis was conducted using SPSS and AMOS. Structural Equation Modeling was used for the analysis for the verification of hypotheses. The factors that consumers value when ordering fresh food delivery services were defined as system quality, service quality, commodity quality, brand characteristics, and economics from the preceding study and the relationship between satisfaction and willingness to repurchase was verified. Results: When consumers purchase fresh food online, system quality, product quality, brand characteristics, and economics have had a significant impact on satisfaction. Meanwhile, of the five optional attributes of consumers, only economic efficiency has been verified to have a statistically significant impact on repurchase intentions. Conclusions: The results of the study suggested factors that consumers consider important when ordering fresh food online, providing basic data for companies to develop related strategies.

• 한국전산유체공학회:학술대회논문집
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• 2007.04a
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• pp.120-124
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• 2007

Helicopters and rotary-wing vehicles encounter a wide variety of complex aerodynamic phenomena and these phenomena present substantial challenges for computational fluid dynamics(CFD) models. This investigation presents the rotor aerodynamic analysis items for the helicopter development and variety aerodynamic analysis methods to provide the better solution to researchers and helicopter developers between aerodynamic problems and numerical aerodynamic analysis methods. The numerical methods to make an analysis of helicopter rotor are as below - CFD Modelling : actuator disk model, BET model, fully rotor model,... - Grid : sliding mesh, chimera mesh / structure mesh, unstructure mesh,... - etc. : panel method periodic boundary, quasi-steady simulation, incompressible,... The choice of CFD methodology and the numerical resolution for the overall problem have been driven mostly by available computer speed and memory at any point in time. The combination of the knowledge of aerodynamic analysis items, available computing power and choice of CFD methods now allows the solution of a number of important rotorcraft aerodynamics design problems.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.157-167
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• 2020

One of the concerns that have received substantial interest in the accounting field, in particular, in accounting education, is the increasing scarcity and demand for professional accountants around the globe. This study aims to investigate the effects of financial rewards (FR), parents' and peers' influence (PPIF), and benefits and cost (BCE) on students' intention to pursue a career in accounting. A quantitative, convenient random sampling approach was used, and an online survey was conducted to collect data from students studying in China. A total of 311 valid responses were used for model testing based on the theory of reasoned action and the theory of planned behavior. The findings of the study include the positive effects of FR, PPIF, and BCE on accounting career choice (ACC). This study illustrates that FR is the most dominant factor (β=0.479) for influencing ACC. Furthermore, the used factor explained 70% variation in ACC. The results of the study have implications both for accounting firms and universities whether offering or not offering accounting as a major. This study provides a global perspective, which keeps this study unique from other studies. And in this study, the Partial Least Square Structural Equation Modeling (PLS-SEM) has been used which is randomly used in accounting research.