• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1465-1479
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• 2007

This study set up a hypothesis that the main variables (business environment, business strategy, business policy, logistics information system) of logistics information system utilization under ubiquitous environment would contribute to business performance, and then verified the relation between each variables that have an effect on business performance. The analysis results between each main variable can be summarized as follows. First, among main variables under ubiquitous environment, business environment closely made influence on business performance. Second, business environment, business strategy, and business policy were meaningful among other variables, whereas logistics information system was not meaningful. But, it is known that corporate performance is only meaningful to business environment and business policy. In conclusion, business performance is not achieved by each variable of business strategy, business policy and logistics information system. It is recognized that business performance is influenced by business environment that combines a given condition of business strategy, business policy and logistics information system.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.104-116
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• 2017

This study was conducted in order to test a model in relation to active coping strategy, academic resilience, and subjective happiness in college students. Also, sought to test the mediating effects of academic resilience in the relationship between active coping strategy and subjective happiness. Data was collected through a self-report questionnaire which was administered to 400 college students. Correlational analysis and structure equation modeling analysis were conducted to test the research models. The results were as follows: First, as the level of active coping strategy increased, the level of academic resilience and subjective happiness increased. Second, as the level of academic resilience increased, the level of subjective happiness increased. Third, the model with active coping strategy as a prophetic variable, academic resilience as a mediating variable, and subjective happiness as a result variable showed a full mediating effect. Thus, although active coping strategy has no direct influence on subjective happiness, it has an indirect effect on subjective happiness by enhancing academic resilience. The results of this study are expected to provide basic data on research and education for the improvement of happiness in college students and to help them develop educational counseling and training programs for improving their happiness and adapting to college life.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.65-79
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• 2006

The ATIS(Advance Traveler Information System), as one part of ITS, is a system aiming to disperse traffic volume on transportation networks by providing traffic information to transportation users on pre-trip and en-route trips. One of tools in ATIS is usage of VMS(Variable Message Signs). It provides to the drivers with direct information about state of processing direction. which is considered as the most effective method in ATIS. The purposes of providing VMS information are classified two categories. One is to provide simple information to drivers for their convenience. The other is to manage traffic demand to improve transportation network performance. However, for more effective and reliable VMS information, several strategies should be taken into account. The main VMS management strategy is "Traffic Diversion Strategy for minimum delay" when traffic congestion or incident are occurred. For effective operation. firstly. reasonable diversion traffic volume is determined by network traffic condition Secondly, it is necessary to make providing information strategy which reflects driver response behavior for controling diversion traffic volume. This paper focuses on the providing real-time route guidance information by VMS when congestion is occurred by the incidents. This sturdy estimates time-dependent system optimal diversion rate that inflects travel time and queue lengths using traffic flow simulation model on base Cellular Automata. In addition, route choice behavior models are developed using binary logit model for traffic information variable by traffic system controller. Finally, this study provides time-dependent VMS massage contents and degree of providing information in order to optimize the traffic flow.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.191-197
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• 2009

In this paper, multi-variable fuzzy model for efficient combustion control of refuse incineration plant is obtained. First, to obtain model of incineration plant which is complex and nonlinear multi-variable fuzzy modeling is performed. Obtained multi-variable fuzzy model predicts outputs of incinerator almost exactly. Then using multi-variable fuzzy model we can build simulator which is used as operation simulator for building of control strategy and training of operator.

• Transactions of the Korean Society of Automotive Engineers
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• v.10 no.1
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• pp.115-124
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• 2002

The optimum design of auto-catalyst needs a good compromise between the pressure drop and flow distribution in the monolith. One of the effective methods to achieve this goal is to use the concept of radially variable cell density. However, there has been no study of evaluating the usefulness of this method on light-off catalyst. We have computationally investigated the effectiveness of variable cell density technique applied to the light-off catalyst using a three-dimensional integrated CFD model. in which transient chemical reacting calculations are involved. Computed results show that variable cell density technique can reduce the accumulated emissions of CO and HC during the early 100sec of FTP cycle by 86.78 and 80.87%, respectively, The effect of air-gap between the monoliths has been also examined. It is found that air-gap has a beneficial effect on reducing pressure drop and cold-start emissions.

• Journal of Information Technology Applications and Management
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• v.25 no.3
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• pp.1-15
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• 2018

This study is to find effects between the level of preparation of factors and the satisfaction of successors. Independent variables are the level of preparations of successors and divided by three detailed type, the level of preparation of management ability, the level preparation of positive succession attitude and the level of preparation of ownership succession. A dependent variable is the satisfaction of successors and a moderating variable is the level of communication between successees and successors. This study was undertaken in South Korea among 59 successors in 59 family firms. A total of 53 samples were available to use for the research. The empirical results indicate that the level of preparation of successors, management ability, positive succession attitude and ownership succession, is associated to the satisfactions of successors. Additionally, the moderating variable has not the relationship to the dependent variable as a moderating variable, but the result showed a strong relationship between the level of communication and the satisfaction of successors.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.1
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• pp.67-81
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• 2010

In Schumpeterian competition, superior profit arises from successful innovation created by firm's R&D strategy. Such R&D strategy diverges as time passes. This study examines empirically the effects of diverged forms of R&D strategy such as technological assets, technological diversity, and technological similarity on firm performance in Korean pharmaceutical industry. With the financial and patent data of 96 firms for 14 years from 1994 to 2007, we measured variables. And then we performed panel analysis with 3 years lag between dependent variable and other variables. The result shows that firm performance increases as technological asset and technological diversification increase. But technological similarity positively affects on firm performance in opposition to our hypothesis. We interpret and discuss these results and highlight the theoretical and practical implications of our findings.

• Fashion & Textile Research Journal
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• v.12 no.2
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• pp.172-178
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• 2010

The purpose of this study was to explore relationships among technology development strategy, marketing competence, knowledge management competence, and company performance of textile and clothing companies. Survey data collected from 187 employees in the textile and clothing companies were analyzed by descriptive statistics, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis. In results, certain levels of correlations were found among technological development strategy, marketing competence, knowledge management competence, and company performance. Specifically, technological gap which was one of the technology development strategy factors was a variable significantly affecting innovation performance and financial performance of textile and clothing companies. Knowledge management competence affected innovation performance whereas marketing competence affected financial competence of textile and clothing companies.

• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.591-595
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• 1989

The application of Variable Structure System (VSS) to the position control of a Permanent Magnet Synchronus Motor is discussed. VSS is expected to be a powerful and potential tool to construct new control strategy for ac machines, since the resulting system shows robust performance to parametic variations and disturbances. An adaptive VSS which can make corrections or adjustments in the parameters of the control device of the VSS in accordance with the current values of the plant parameters and the constraints on the control is preposed. Various simulation results are reported to show the validity of the proposed control method.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.41-53
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• 2016

Static repositioning is a well-known and commonly used strategy to maximize customer satisfaction in public bike-sharing systems. Repositioning is performed by trucks at night when no customers are in the system. In models that represent the static repositioning problem, the decision variables are truck routes and the number of bikes to pick up and deliver at each rental station. To simplify the problem, the decision on the number of bikes to pick up and deliver is implicitly included in the truck routes. Two relocation-based local search algorithms (1-relocate and 2-relocate) with the best-accept strategy are incorporated into a variable neighborhood search (VNS) to obtain high-quality solutions for the problem. The performances of the VNS algorithm with the effect of local search algorithms and shaking strength are evaluated with data on Tashu public bike-sharing system operating in Daejeon, Korea. Experiments show that VNS based on the sequential execution of two local search algorithms generates good, reliable solutions.