• Journal of Contemporary Eastern Asia
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• v.13 no.2
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• pp.69-85
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• 2014

This paper explores the convergence process by focusing on the massively multiplayer online game(MMOG) industry and the online broadcasting industry in South Korea. In doing so, the paper seeks to establish the concept of Hidden catalysts for the integration process between the two industries and explore the roles of the Hidden catalysts in triggering the industry's transition. Further, the modified multi-level socio-technical model we applied in our research allows us both to understand each industry's development towards convergence in various dimensions and also to focus on the activities of the Hidden catalysts. In assessing the role of Hidden catalysts in industry convergence, we found that Hidden catalysts depend on two essential features: first, appropriate technology leading to the new industry dominance; and second, managerial capabilities to deal with conflicts among other new interest groups, to harmonise with government initiatives for industry development and to create new value in the integrated market to please the demand of mixed customers.

• Korean Management Science Review
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• v.19 no.1
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• pp.29-38
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• 2002

Due to the rapid increase In the Internet traffic volume, ISPs are faced with the definite need of the expansion of server capacity. In order to Provide prompt services for customers and still prevent excessive facility cost, it is critical to determine the optimum level of internet server capacity. The purpose of this Paper is to provide a simple but effective strategy on the expansion of servers capacity according to the increase in internet traffic. We model an internet server as an M/G/m/m queueing system and derive an efficient method to compute the loss probability which, In turn, Is used as a basis to determine proper server capacity. The Process of estimating the traffic parameter values at each server based on log data analysis is also given. All the procedures are numerically demonstrated through the process of analyzing actual log data collected from a game company.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.241-243
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• 2000

컴퓨터 게임에서의 인공지능은 규칙 기반 추론을 기반으로 한 추론 엔진을 사용하고 있다. 이 규칙 기반 추론 엔진은 비교적 간단하고 구현하기 쉽지만 규칙이 몇 가지 되지 않는다는 것과 규칙 변화가 없는 단점으로 게임 플레이어가 그 규칙들을 쉽게 알아버린다는 문제가 있다. 게임 제작자들은 이런 단점을 극복하고자 게임 플러이어끼리 경쟁을 붙이기 위해서 베틀넷 등 네트워크 쪽으로 그 단점을 보안하려고 하고 있다. 하지만 오히려 네트워크론의 발전은 더욱 더 인간에 가까운 게임 캐릭터 인공지능을 요구하게 되었으며 규칙 기반 추론 방법으로는 이러한 요구를 충족할 수 없기 때문에 새로운 방법이 필요하게 된 것이다. 이 논문에서는 그 새로운 방법에 대한 대책으로 신경망 알고리즘과 유전자 알고리즘을 사용한 인공생명 방법론으로 그 해결책을 모색해려 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.6
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• pp.1006-1022
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• 2010

In this paper, a cross-layer resource allocation mechanism is proposed for wireless multimedia service. In particular, a game theory based on quality of service (QoS) for multimedia users is introduced to deal with the fairness of network resource allocation in wireless networks. Moreover, the channel states of wireless users are additionally regarded under the cross-layer design in WiMAX environment. In details, the bargaining solution is adopted to discover the efficient and fair resource allocation strategy for multimedia service in considering QoS in the peak signal-to-noise ratio (PSNR) and the channel states in the carrier-to-interface ratio (CINR). The proposed mechanism is illustrated and evaluated by simulation results of transmitting video sequences in WiMAX environment.

• Korean System Dynamics Review
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• v.2 no.1
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• pp.93-112
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• 2001

Inter-Organizational Cooperation is the most common and important strategy in modern public and privet sectors managerial activities. In this paper the concepts of inter-organizational cooperation means not selfish cooperation as in the game circumstance and theory, but general collaborative action between organizations, they have share same goal. The achievement level of jointed-goal of inter-organization is depended upon the performance of cooperation, which resulted from the conditions and circumstances of cooperation. This paper analyses the effect of inter-organizational cooperation on achievement level of the jointed goal between two organizations with computer simulation model of the system dynamics approach. In the computer simulation model, three factors, goal perception, communication, and control, are considered as a key conditions of cooperation, which impact on the performance of cooperation. Simulation model was constructed with focus on the dynamic interactions between these three factors and the achievement level of jointed-goal. Consequently, the results found in this paper may provide further grounds for reducing the time delay that included in the conditions of cooperation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.1
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• pp.189-202
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• 2013

Recently, Smartphone is not only used as a communication medium, but also provide mobile service tool enabling game, internet surfing, DMB, navigation services, and so on. A lot of smartphone's applications are using for our daily lives. The purpose of this study was analyze affecting factors such as innovativeness, Self-Efficacy and Social-Influence on adoption behavior of smartphone application. This survey was carried out with university students. Data were obtained from 293 students who have smartphone. To Find difference among variables, exploratory factor analysis, t-test and multiple regression was carried out with collected data. Result shows that the distinction of sex is significantly difference in innovativeness and self-efficacy. And self-efficacy and social influence are significantly affect to smartpjone adoption. Therefore, self-efficacy and social influence are import consider factors to reconsider marketing strategy for smartphone business.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.85-88
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• 1998

진화이론은 생명체들간의 투쟁과 적자생존의 원칙에 근거를 두고 있다. 그 중 협동으로의 진화는 공생이나 기생관계에 있는 생물들에서 발견되어 사화학, 생물학, 경제학 등의 분야에서 계속적인 관심의 대항이 되어 왔다. 특히 생명체들간에 존재하는 끊임없는 경쟁과 협동의 관계를 시뮬레이션하는 죄수의 딜레마 게임은 지금까지 많은 연구가 진행되어왔다. 죄수의 딜레마 게임이 시작된 근거는 협동으로의 진화에 관한 연구에서 시작되었다고 볼 수 있다. 대부분의 연구가 2명이 하는 죄수의 딜레마 반복게임인 2IPD에 집중되어 있는데 2IPD는 실제 세계에 적용시키는데 한계가 있기 때문에 보다 실세계에 가까운 형태를 모델링하는 N명 죄수의 딜레마 반복 게임(NIPD)에 관한 연구가 진행되고 있다. 이 논문에서는 진화 알고리즘을 이용하여 NIPD게임에서 게임자의 수와 협동으로의 진화와의 관계, 즉 죄수의 수가 증가함에 따라 협동의 정도는 어떻게 나타나는 가에 대해 고찰한다. 여러차례의 반복 시뮬레이션 결과 게임자의 수가 적을때는 대부분이 협동으로 진화하나 게임자의 수가 증가할수록 협동으로의 진화가 어렵다는 사실을 확인할 수 있었다.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1140-1142
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• 1996

In this paper, a fixed-horizon $H_{\infty}$ tracking control (HTC) for continuous time-varying systems is proposed in state-feedback case. The solution is obtained via the dynamic game theory. From HTC, an intervalwise receding horizon $H_{\infty}$ tracking control (IHTC) for continuous periodic systems is obtained using the intervalwise strategy. The conditions under which IHTC stabilizes the closed-loop system are proposed. Under proposed stability conditions, it is shown that IHTC guarantees the $H_{\infty}$-norm bound.

• Journal of agriculture & life science
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• v.46 no.6
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• pp.185-195
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• 2012

The purpose of this paper is to analyze how strategically the bilaterally monopolistic firms, only-one-seller and only-one-buyer, behave in a situation in which each firm has uncertain information on its opponent firm's cost. Even though the two firms know that seeking integrated profit leads to the optimized profit for both firms, each firm has an incentive to opportunistically behave to increase its share of the integrated profit. These opportunistic behaviors of the firms are analyzed through a game theoretic approach especially finding Nash equilibrium mixed strategies for the strategic profiles such as true-report or not and monitoring or not. The comparative statics to the Nash equilibrium mixed strategies shows that as the profit share increases the probability of monitoring an opponent firm is decreased while the probability increases as the size of the overstated production cost increases. This study also shows that high penalty and low monitoring cost lead to high probability to tell the truth of the production cost.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.17-24
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• 2019

In this paper, we propose a new model for predicting effective Win/Loss in professional baseball game in Korea using machine learning technique. we used basic baseball data and Sabermetrics data, which are highly correlated with score to predict and we used the deep learning technique to learn based on supervised learning. The Drop-Out algorithm and the ReLu activation function In the trained neural network, the expected odds was calculated using the predictions of the team's expected scores and expected loss. The team with the higher expected rate of victory was predicted as the winning team. In order to verify the effectiveness of the proposed model, we compared the actual percentage of win, pythagorean expectation, and win percentage of the proposed model.