• KCID journal
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• v.5 no.1
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• pp.47-62
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• 1998

The purpose of this study is to evaluate storm runoff models of Imjin river basin(8,117.5$km^2$) for the provision of radar rainfall situation. Two lumped models, Storage Function Model(SFM) and HEC-1 model which are now in use broadly and prov

• Journal of the Korean Operations Research and Management Science Society
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• v.11 no.2
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• pp.7-12
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• 1986

The problem of strategic R & D investment is formulate as a differential game model and solved explicity for a special case. It is shown that, at equilibrium, an increase in the intensity of market competition or a decrease in the role of technology transfer results in an increase in the initial rate of investment by competing tfirms. The increased initial investment rate may enhance the rate of technology development. This dynamic model can be used to propose non cooperative R & D investment policies in technologically competitive situation.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.2500-2503
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• 2008

Currently the railway system's operational strategy for developing various scenarios did not establish how the development. This is a realistic time constraints and thus virtually no model for development due to operational activities and functions because of the lack of a clear understanding. Therefore, activities and functions of the definition for how to take advantage of it through the development of the situation is urgent.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.14 no.24
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• pp.1-5
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• 1991

Various linear cost models have been proposed that can be used to determine a sampling plan by attributes. This paper is concerned with this sampling cost model when the probability that the number of nonconforming item is smaller than the break-even quality level is known. In addition to this situation, a constraint by AOQL is considered. Under these conditions, optimal sampling plan which minimize the average cost per lot is suggested.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.2
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• pp.134-139
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• 2021

Currently, the autonomous vehicle market is commercializing a level 3 autonomous vehicle, but it still requires the attention of the driver. After the level 3 autonomous driving, the most notable aspect of level 4 autonomous vehicles is vehicle stability. This is because, unlike Level 3, autonomous vehicles after level 4 must perform autonomous driving, including the driver's carelessness. Therefore, in this paper, we propose the Emergency-notification and Driver-response Confirmation System(EDCS) for an autonomousvehicle safety that notifies the driver of an emergency situation and recognizes the driver's reaction in a situation where the driver is careless. The EDCS uses the emergency situation delivery module to make the emergency situation to text and transmits it to the driver by voice, and the driver response confirmation module recognizes the driver's reaction to the emergency situation and gives the driver permission Decide whether to pass. As a result of the experiment, the HMM of the emergency delivery module learned speech at 25% faster than RNN and 42.86% faster than LSTM. The Tacotron2 of the driver's response confirmation module converted text to speech about 20ms faster than deep voice and 50ms faster than deep mind. Therefore, the emergency notification and driver response confirmation system can efficiently learn the neural network model and check the driver's response in real time.

• The Korean Journal of Financial Management
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• v.12 no.1
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• pp.145-165
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• 1995

This paper studies a partial coordination situation where a set of countries coordinate their monetary policies among themselves;while the rest of the world choose their policies independently. Using a three-country orewlapping generations model, it is shown that nash partial-coordination equilibrium does not exist. This paper also studies the partial coordination under unanticipated productivity shocks.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.05a
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• pp.1303-1304
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• 2005

• Korean Journal of Social Welfare
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• v.41
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• pp.173-200
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• 2000

The purpose of this study is to examine the variables that may influence the level of family adaptation to schizophrenic patients using the Family Resiliency Model. The Family Resiliency Model is the most current extension of family stress Model. According to the Family Resiliency Model, The level of family adaptation in the face of a crisis situation is determined by a number of interacting components. The subjects are 151 family members with schizophrenic patient. The result from the research were as follows: 1) The following variables significantly correlated with the family adaptation: income of the family, educational level of the family, intimacy between family and patient, knowledge on schizophrenia, recognition of prognosis on schizophrenia. 2) The factors that compose the Family Resiliency Model significantly correlated with the level of family adaptation. 3) The result of stepwise multiple regression analysis indicated that factors which predict the level of family adaptation were the family control, the quality of family communication, and the support from the extended family, these findings give us significant practical implications for social work intervention.

• Journal of Korean Society for Atmospheric Environment
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• v.13 no.2
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• pp.137-145
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• 1997

To predict the effects of air pollutant in the coastal region, we have developed the air pollutant model, the reaction model and the deposition of NO, $NO_2, and O_3$. And the numerical model of air pollutant concentration employed the nested technique to calculate with the higher resolution for the area. The nested technique used two grid systems, one for the large scale calculating region with the coarse mesh grid (CMG) and the other for the small scale region with the fine grid (FMG). In other to prove the validity of the simulation model the calculations were conducted for the present situation. The results of them reasonably agree with the observed data and proved the validity of the model.

• Journal of the Korea Institute of Military Science and Technology
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• v.7 no.3 s.18
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• pp.47-58
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• 2004

This paper focuses on the technical information about the development of the submarine operational effectiveness simulation model for the feasibility study stage of the submarine design. The simulation model is classified into simulation control model and system model. Using user input and related performance parameters, it can simulate various scenarios by no change of the program because it includes tactic manager which makes decision about every situation. And the Monte-Carlo simulation mode which provides the stochastic results is available. Through the test simulation, the usefulness of the simulation model was verified. It should be helpful for the analysis of the submarine operational effectiveness by diversified scenarios in the concept design phase..