• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.2
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• pp.85-97
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• 2001

Online games have become the focus of entertainment and multimedia industries as the developments in computer technologies are accelerated and the use of the Internet diffuses broadly. In spite of such growth of online games, academic discussions regarding online games are relatively limited. This research examines several factors that affect player loyalty to online games. In this research, the loyalty is classified into two categories, the behavioral loyalty measured by the intensity, volume, and frequency of use, and the cognitive loyalty measured by the degree of immersion in online games. In this research, an integrated model to explain and predict player loyalty to online games in proposed. Two studies are conducted to test to research model. Throughout analyzing 334 respondents, the first study finds that the impulsive personality of individual players significantly affects both behavioral loyalty and cognitive loyalty. Additionally, it finds that, whereas the behavioral loyalty is influenced by the convenience of online game playing, the cognitive loyalty is influenced by the motive of game playing and the playfulness of games. The second study finds that the behavioral loyalty differs across demographic differences of players (age and occupation), preferred online games of players, and online game playing locations, but the cognitive loyalty differs across only age differences of players. This research has opened a forum for social awareness about the online game culture, provided information to guide online game producers to prepare customer-oriented online games, and created a foundation for academic research on online game industry.

• The Journal of the Korea Contents Association
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• v.7 no.8
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• pp.102-108
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• 2007

Among culture industry that greet digital generation and is observed 21th century the most representative game industry latest is caught what and more interest degree is rising. 2D and 3D animation accomplish continuous growth and development depending action expression along with development of computer technology, and 2D and 3D animation practical use extent are trend that is widening the area in TV, movie, GAME industry etc. through computer hardware and fast change of software technology. The trend of latest game graphic is trend that the weight is changing from 2D to 3D by 3D game and activation of 3D game character that raise player's immersion stuff and Control in 2D's simplicity manufacturing game balance for one side. This treatise that is reality of 3D game character to classify kind of (Motion Capture) and 3D character animation, form model the sense put. Recognize that is overview and reality of 3D game character first for this about example, and is considered to efficiency is high game industry and digital contents industry hereafter by proposing kind model classification of 3D game character animation, form model classification data and character animation manufacture process that application is possible at fast time and effect in 3D character animation application are big.

• Journal of Communications and Networks
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• v.14 no.6
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• pp.614-618
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• 2012

Smart grid is widely considered to be a next generation power grid, which will be integrated with information feedback communications.However, smart grid communication technologies are subject to inefficient spectrum allocation problems. Cognitive radio networks can solve the problemof spectrumscarcity by opening the under-utilized licensed bands to secondary users. In this paper, adaptive cognitive radio spectrum sensing and sharing algorithms are developed for smart grid environments. Simulation results are presented to demonstrate the effectiveness of the proposed scheme in comparison with other existing schemes.

• Journal of Internet Computing and Services
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• v.6 no.4
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• pp.37-46
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• 2005

Computer are being used in an increasingly wide variety of application areas, and their correct operation is often critical for business success and humasn safety. Developing high quality software products is therefore of prime important. The recent game software become popular, so we are interest in the game software testing. According to the kinds of game software, because it has the different characters, so game software testing is very difficult. According to enviroment change, Recently, online game is popular, so online game trade in the world market. In the company, developers try to develop the reliable game software. But we can experience many fault of game software in spite of the beta testing. Especially, Testing is very difficult on the game software because of various environment and functionality. We tried the survey for game user. In this paper, we study the quality testing metric of game software fault basis on the ISO/IEC 9126. Also, we consist of the check list of game software a point of view user. It apply for the reliability testing metrics of ISO/IEC 9126.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.5
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• pp.1554-1566
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• 2014

Cloud Computing allows application providers seamlessly scaling their services and enables users scaling their usage according to their needs. In this paper, using queuing game model, we present service scheduling schemes which are used in software as a service (SaaS). The object is maximizing the Cloud Computing platform's (CCP's) payoff via controlling the service requests whether to join or balk, and controlling the value of CCP's admission fee. Firstly, we treat the CCP as one virtual machine (VM) and analyze the optimal queue length with a fixed admission fee distribution. If the position number of a new service request is bigger than the optimal queue length, it balks. Otherwise, it joins in. Under this scheme, the CCP's payoff can be maximized. Secondly, we extend this achievement to the multiple VMs situation. A big difference between single VM and multiple VMs is that the latter one needs to decide which VM the service requests turn to for service. We use a corresponding algorithm solve it. Simulation results demonstrate the good performance of our schemes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.4177-4190
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• 2015

Current research on Internet of Things (IoT) has primarily addressed the means to enhancing smart resource allocation, automatic network operation, and secure service provisioning. In particular, providing satisfactory security service in IoT systems is indispensable to its mission critical applications. However, limited resources prevent full security coverage at all times. Therefore, these limited resources must be deployed intelligently by considering differences in priorities of targets that require security coverage. In this study, we have developed a new application of Cognitive Radio (CR) technology for IoT systems and provide an appropriate security solution that will enable IoT to be more affordable and applicable than it is currently. To resolve the security-related resource allocation problem, game theory is a suitable and effective tool. Based on the Blotto game model, we propose a new strategic power allocation scheme to ensure secure CR communications. A simulation shows that our proposed scheme can effectively respond to current system conditions and perform more effectively than other existing schemes in dynamically changeable IoT environments.

• Journal of Korean Academy of Nursing
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• v.40 no.3
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• pp.378-388
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• 2010

Purpose: This study was designed to build a theoretical frame to provide practical help to prevent and manage adolescent internet game addiction by developing a prediction model through a comprehensive analysis of related factors. Methods: The participants were 1,318 students studying in elementary, middle, and high schools in Seoul and Gyeonggi Province, Korea. Collected data were analyzed using the SPSS program. Decision Tree Analysis using the Clementine program was applied to build an optimum and significant prediction model to predict internet game addiction related to various factors, especially parent related factors. Results: From the data analyses, the prediction model for factors related to internet game addiction presented with 5 pathways. Causative factors included gender, type of school, siblings, economic status, religion, time spent alone, gaming place, payment to Internet cafe$\acute{e}$, frequency, duration, parent's ability to use internet, occupation (mother), trust (father), expectations regarding adolescent's study (mother), supervising (both parents), rearing attitude (both parents). Conclusion: The results suggest preventive and managerial nursing programs for specific groups by path. Use of this predictive model can expand the role of school nurses, not only in counseling addicted adolescents but also, in developing and carrying out programs with parents and approaching adolescents individually through databases and computer programming.

• 한국컴퓨터산업교육학회:학술대회논문집
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• 2003.11a
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• pp.119-126
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• 2003

Computer simulation has used to a area of military training from about several years ago. War game model(or computer simulation) endow a military man with field training such as combat experience without operating combat strength or capabilities. To samely construct simulation environment against actual combat environment is to well construct DB to operate war game model, associate among federates on network. Thus, we construct virtual combat environment enabling to efficiently manage network traffic among federates(or active nodes) on active network that construct virtual military training space such as urgent combat field needed to rapidly transfer combat information including image and video.

• Journal of The Korean Association of Information Education
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• v.14 no.4
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• pp.589-603
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• 2010

Game addiction is the one of side effects from current knowledge-based society, So it is very important to find students with game addiction and treat them as early as possible. In this paper, first of all, a measure scale is developed for diagnosing game addiction. The scale is made based on the literature reviews. Also, a game model is developed based on virtues education. The proposed model has the following characteristics. First, it can induce active participation of students. Second, it helps students find and decide a moral standard related to online game addiction for themselves. Third, students can learn a moral standard naturally through narratives related to various real-life situations. The followings are concluded after applying the proposed game to elementary school students with game addiction. First, game addiction is relieved for those students, specially for "high risk" and "potential" groups. Second, the proposed game can improve respect to others and individual responsibility.

• Journal of Korea Multimedia Society
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• v.20 no.5
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• pp.835-843
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• 2017

Humans have often been used gesture to communicate with each other. The communication between computer and person was also not different. To interact with a computer, we command with gesture, keyboard, mouse and extra devices. Especially, the gesture is very useful in many environments such as gaming and VR(Virtual Reality), which requires high specification and rendering time. In this paper, we propose a gesture recognition method based on CNN model to apply to gaming and real-time applications. Deep learning for gesture recognition is processed in a separated server and the preprocessing for data acquisition is done a client PC. The experimental results show that the proposed method is in accuracy higher than the conventional method in game environment.