• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.200-203
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• 2009

최근 전 세계적으로 노인 인구가 차지하는 비중이 갈수록 증가하고 있어 세계적으로 고령화는 미래에 우리가 직면하게 될 가장 큰 사회적인 문제로 대두되고 있다. 고령화 사회에 삶의 질을 향상하기 위해서는 고령자가 주체가 되어 생활환경의 설계를 위한 실버 운용 시스템의 구조적 변화의 방향성을 제시 할 필요가 있다. 이 과정에서 요구되는 사회적 커뮤니티는 실버세대에게 자신감과 즐거움을 제공하고, 삶의 질을 높이는데 중요한 역할을 할 것이며 기능성 게임 콘텐츠는 실버세대의 커뮤니티에 중요한 역할을 할 것이다. 본 논문에서는 실버 세대의 여가 활용과 건강 유지를 위해 조작이 용이한 인터페이스 기술을 이용한 기능성 게임 콘텐츠인 두더지 밟기 게임을 제안한다. 제안 방법은 단순한 UI와 무선 인터페이스 기술을 활용함으로써 게임 조작의 용이성을 확보할 수 있고 근력강화, 균형성 및 유연성 기능과 더불어 재미와 흥미를 유발할 수 있도록 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.34-49
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• 2015

Market means of spectrum trading have been utilized as a vital method of spectrum sharing and access in future cognitive radio system. In this paper, we consider the spectrum trading with multiple primary carrier providers (PCP) leasing the spectrum to multiple secondary carrier providers (SCP) for a short period of time. Several factors including the price of the resource, duration of leasing, and the spectrum quality guides the proposed model. We formulate three trading policies based on the game theory for dynamic spectrum access in a LTE based cognitive radio system (CRS). In the first, we consider utility function based resource sharing (UFRS) without any knowledge of past transaction. In the second policy, each SCP deals with PCP using a non-cooperative resource sharing (NCRS) method which employs optimal strategy based on reinforcement learning. In variation of second policy, third policy adopts a Nash bargaining while incorporating a recommendation entity in resource sharing (RERS). The simulation results suggest overall increase in throughput while maintaining higher spectrum efficiency and fairness.

• Industrial Engineering and Management Systems
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• v.12 no.3
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• pp.264-273
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• 2013

Credit option is a policy that has been studied by many researchers in the area of supply chain management. This policy has been applied in practice to improve the profits of supply chain members. Usually, a credit option policy is proposed by the seller, and often under a symmetric information environment where members have complete information on each others' operations. In this paper, we investigate two scenarios: firstly, the seller offers a credit option to the buyer, and secondly, the buyer attempts to stretch the length of the credit period offered by the seller. The proposed model in both scenarios will be investigated under an asymmetric information structure where some information are private and are only known to the individual who has knowledge of this information. The interactions between buyer and seller will be modeled by non-cooperative Stackelberg games where the buyer and seller take turn as leader and follower. Among some of the numerical results obtained, the seller and buyer's profits obtained from symmetric information games are larger than those obtained from an asymmetric information game in both scenarios. Furthermore, both buyer and seller's profit in the second scenario are better than in the first scenario.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.591-593
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• 2016

Device-to-device (D2D) communications underlaid cellular infrastructure is an competitive local area services technology to promote spectrum usage for next generation cellular networks. These potential can only be tap through efficient interference coordination. Previous works only concentrated on interference from D2D pairs whiles interference from CUs to D2D pairs were neglected. This work focus on solving uplink interference problem emanating from multiple CUs sharing its resource with multiple D2D pairs. The base station (BS) acting as a supervisor selfishly institute a pricing scheme to manage the interference it experience from D2D pairs based on its Quality of service (QoS) requirement. D2D pairs following the supervisor make power allocation decisions considering the price from the BS in a non-cooperative game fashion. In order for the D2D pairs to also meet their QoS requirement, they suggest a price to the BS called discount price which reflects the interference they receive from the CUs. Finally, we analyze the proposed approach.

• Journal of Korea Game Society
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• v.13 no.3
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• pp.141-152
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• 2013

This research aims at suggesting a case of designing theme-based integrated learning for usage smart media. New approach and direction for developing a gaming instructional design was suggested which can encourage learners to participate in. Quest-based learning, the learning environment design where learners conduct various learner-centered activities, plays an important role of reinforcing the motivation, promoting experiential and cooperative learning based on social interaction. The design using QR codes has been proved to be able to offer the learner-centered learning environment which includes social interaction strategy required for learners expanding their cognitive structure, motivation enhancing strategy encouraging their consistent participation in learning, complex problematic situation and scaffolding strategy emphasized by constructivism. And it is expected to contribute to promoting the design of theme-based integrated learning which is being demanded in the educational environment recently by combining systematic design process and strategies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.7
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• pp.543-552
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• 2013

For the safety messages in IEEE 802.11p/WAVE vehicles network environment, strict periodic beacon broadcasting requires status advertisement to assist the driver for safety. In crowded networks where beacon message are broadcasted at a high number of frequencies by many vehicles, which used for beacon sending, will be congested by the wireless medium due to the contention-window based IEEE 802.11p MAC. To resolve the congestion, we consider a MAC scheme based on slotted p-persistent CSMA as a simple non-cooperative Bayesian game which involves payoffs reflecting the attempt probability. Then, we derive Bayesian Nash Equilibrium (BNE) in a closed form. Using the BNE, we propose new congestion control algorithm to improve the performance of the beacon rate under saturation condition in IEEE 802.11p/WAVE vehicular networks. This algorithm explicitly computes packet delivery probability as a function of contention window (CW) size and number of vehicles. The proposed algorithm is validated against numerical simulation results to demonstrate its stability.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.413-414
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• 2011

본 논문에서는 실버세대의 여가활동 및 두뇌훈련 위한 기능성게임콘텐츠를 제안한다. 두뇌훈련 게임은 기억력 훈련, 집중력 훈련, 시공감각 훈련과 판단력 훈련으로 6종의 게임콘텐츠로 구성되어 있으며, 실버세대들이 사용하기 쉬운 인터페이스와 실버세대의 게임에 대한 공감대 형성과 쉬운 접근을 위하여 춘향전을 각색하여 게임 시나리오로 적용하였다. 게임콘텐츠에 대한 평가 및 선호도 조사, 기능성게임콘텐츠 종목 발굴을 위해 401명을 대상으로 게임을 체험한 후 설문조사를 실시하였고, 결과를 토대로 선호도 및 기능성 게임 개발 시 요구 사항을 분석하였다.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.292-297
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• 1999

Evolving in artificial agent is an extremely difficult problem, but on the other hand, a challenging task. At present the studies mainly centered on single agent learning problem. In our case, we use simulated soccer to investigate multi-agent cooperative learning. Consider the fundamental differences in learning mechanism, existing reinforcement learning algorithms can be roughly classified into two types-that based on evaluation functions and that of searching policy space directly. Genetic Programming developed from Genetic Algorithms is one of the most well known approaches belonging to the latter. In this paper, we give detailed algorithm description as well as data construction that are necessary for learning single agent strategies at first. In following step moreover, we will extend developed methods into multiple robot domains. game. We investigate and contrast two different methods-simple team learning and sub-group loaming and conclude the paper with some experimental results.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.48-50
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• 1998

반복적 죄수의 딜레마(Iterated Prisoner's Dilemma, IPD)게임은 사회적, 경제적, 그리고 생물학적 시스템에서 협동의 진화를 연구하기 위한 대상으로 사용되어져 왔다. 이제까지 이기적이며 합리적인 개체들 사이에서의 협동의 진화에 대한 완전한 이해를 위하여 게임자의 수와 협동의 관계, 기계학습의 일환으로서의 전략학습, 그리고 이득함수가 협동에 미치는 영향 등에 관한 많은 연구가 이루어져 왔다. 이 논문에서는 실험을 통해 이득함수에 따른 협동연합의 크기와 지역화가 NIPD(N-player IPD)게임에서 협동의 진화에 미치는 영향에 대해 밝히고자 한다. 시뮬레이션 결과 이득함수와 협동연합의 크기에 대한 실험에서는 협동개체에 대한 이득함수의 기울기가 배반개체에 대한 이득함수의 기울기보다 급하거나 최소 연합의 크기가 작을수록 협동연합의 정도가 높게 나타남을 알 수 있었다. 그리고 지역화 실험에서는 상호작용하는 이웃의 크기가 작을수록 협동연합의 크기가 크게 진화됨을 알 수 있었다.