• ETRI Journal
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• v.37 no.1
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• pp.197-202
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• 2015

A smart grid is a modernized electrical grid that uses information about the behaviors of suppliers and consumers in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. In the operation of a smart grid, demand side management (DSM) plays an important role in allowing customers to make informed decisions regarding their energy consumption. In addition, it helps energy providers reduce peak load demand and reshapes the load profile. In this paper, we propose a new DSM scheduling scheme that makes use of the day-ahead pricing strategy. Based on the Rubinstein-Stahl bargaining model, our pricing strategy allows consumers to make informed decisions regarding their power consumption, while reducing the peak-to-average ratio. With a simulation study, it is demonstrated that the proposed scheme can increase the sustainability of a smart grid and reduce overall operational costs.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.45-50
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• 2017

This paper proposes a novel resource allocation scheme which allows to guarantee the user-perceived service quality for various high-quality mobile multimedia service such as interactive game, tactile internet service, remote emergency medical service or remote disaster handling robot control to a certain level in the mobile networks. In our proposed scheme, Mean Opinion Score(MOS), which represents the degree of user satisfaction for perceived quality, is determined based on the delay limit allowable to each service. Moreover resources are allocated in consideration of this MOS. Simulation results show that our proposed scheme can decrease the outage probability in comparison with existing schemes Moreover it can increase the total throughput as well.

• The Korean Journal of Applied Statistics
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• v.9 no.2
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• pp.73-82
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• 1996

A multimedia software for introductory education is developed based on computer simulation. Developing tools for educational software are discussed. A developed software can be used interactively in teaching of statistical basic concepts.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.3
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• pp.21-27
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• 1999

This paper introduces the research and development of automatic generation technology to develop the character agent. The R&D of this technology includes three major elements-body model generation, automatic motion generation and synthetic human generation. Main areas of application would by cyber space- 3D game, animation, virtual shopping, on line chatting, virtual education system, simulation and security system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.8
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• pp.1496-1503
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• 2009

The United Nations Framework Convention on Climate Change (UNFCCC) is an international environmental treaty to stabilize greenhouse gas concentrations in the atmosphere. In order to fulfil the commitments of the countries in an economically efficient way, the UNFCCC adapted the emission trading scheme in the Kyoto Protocol. If the UNFCCC's scheme is enforced in the country, considerable changes in electric power industry are expected due to the imposed greenhouse gas emission reduction. This paper proposes a game theoretic model of the case when generation companies participate in both competitive electricity market and emission market simultaneously. The model is designed such that generation companies select strategically between power quantity and greenhouse gas reduction to maximize their profits in both markets. Demand function and Environmental Welfare of emission trading market is proposed in this model. From the simulation results using the proposed model the impact of the emission trading on generation companies seems very severe in case that the emission prices are significantly high.

• Proceedings of the Korea Multimedia Society Conference
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• 2001.11a
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• pp.563-568
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• 2001

본 연구에서는 3차원 그래픽 시뮬레이션 게임 제작 연구를 목적으로 하여 3차원 그래픽 전차모델을 제작하고 이를 이용한 전차전 시뮬레이션 게임 제작을 목표로 한다. 게임 상에는 아군과 대항군의 2대의 전차가 사용되며 대항군 전차는 통계적인 함수 모형을 이용하여 자체적인 전투 수행을 할 수 있도록 하고, 아군 전차는 사용자가 움직임을 통제한다. 본 논문의 결과를 사용자 탱크가 자유자재로 지형 위를 움직이며 상대편 탱크와 전투를 하는 시스템이 개발된다.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.655-658
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• 2010

역량 있는 창업가를 양성하기 위한 체계적인 창업교육의 중요성이 강조되고 있으며, 강의 중심의 창업교육을 보완하거나 대체할 수 있는 수단으로서 창업 시뮬레이션 게임이 제안되고 있다. 이 연구는 창업교육 현장에서 활용될 수 있는 창업 시뮬레이션 게임을 제안하고, 참가자의 창업가적 자기 유능감, 창업에 대한 태도 등 다양한 변수를 시뮬레이션 게임 실시 전과 실시 후에 각각 측정하여 분석함으로써 창업 시뮬레이션 게임의 교육적 효과를 검증한다. 분석 결과, 사업계획 수립과 관련된 자기 유능감과 창업에 대한 태도가 시뮬레이션 게임 실시 후에 변화되었음을 알 수 있었다. 이 연구는 시뮬레이션 게임 방식으로 창업과정을 간접 체험하는 것이 교육적으로 효과가 있다는 점을 밝혔다는 점에서 의의가 있다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.359-363
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• 2008

In recent warfare, importance of counter-fire is increased. New weapon system and counter-fire have critical impact on defeating of the enemy. At an initial battle counter-fire, we need to study about striking plan against the enemy mine artillery. In this paper, we studied, using MANA(agent based model), how much cannon's hit probability and UAV-based target acquisition have influence on striking the mine artillery. We constructed MANA model based on the characteristics of a regional database of Korean peninsula. If we develop detail database of the ROK Army, the proposed MANA model can be used as a war-game model for the regimental level of the Army.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.5B
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• pp.734-740
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• 2010

In this paper, we propose an effective energy management algorithm for wireless networks. The proposed algorithm sets the multiple routing paths and transmits routing packets based on the cooperative game model. This approach can enhance the network performance under different and diversified network situations. The simulation results demonstrate that the proposed algorithm generally exhibits superior performance compared with the other existing scheme under light to heavy traffic loads.

• The Journal of Information Systems
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• v.10 no.2
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• pp.129-150
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• 2001

In this study, we model a decentralized supply chain system which is managed by four types of centers, sequentially located: Retailer, Wholesaler, Distributor, and Factory Each center contributes to enhancing the performance of the supply chain system individually with its own local inventory information. Through experiments which are performed with a programmed simulation (like the MIT beer game), we investigate how the information lead time improvement in each center affects the whole system. And we show that the impact of the lead time improvement in the downstream, like retailers, affects more to the system than the one in the upstream, like factories, in a cost-effective way. Moreover, by using information lead time for each center, we analyze how much the extent of the improvement affects the whole system, especially for the total cost and the order level.