• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.25 no.3
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• pp.136-141
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• 2014

Objectives : The aim of this study was to examine the relationship between internet game addiction and psychiatric symptoms. Methods : A total of 447 adolescents who were recruited from a child and adolescent psychiatric clinic of university hospital completed a self-report questionnaire consisting of Korean Internet Addiction Self-scale (K-scale), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Korean-Attention-Deficit Hyperactivity Disorder Rating Scale (K-ARS), and Adolescent Happiness Index (AHI). They were classified into three internet user groups, non-addicted group (below or equal to 94), potential risk group (95 to 107) and high risk group (above or equal to 108) according to K-scale total score. Results : Significant mean differences in BDI, BAI, K-ARS, and AHI scores were observed among the three groups. The BDI, BAI and K-ARS scores showed positive correlation with K-score. The AHI score showed negative correlation with K-score. Conclusion : Findings of this study suggest that depression, anxiety, inattention, hyperactivity/impulsivity, and happiness are associated with internet game addiction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.73-86
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• 2012

This study has the purpose to increase the suitability for the introduction and operation of the curriculum utilizing business simulation games from university education. So we investigated about the usage in management education department of domestic and foreign universities, institutions target for enterprise level education, and giant companies such as Samsung and LG. We surveyed about the demand of it from college students at the management and engineering departments and then designed two basic course models. As research methods, literature research, on-site experts and operators interview on domestic enterprises and institutions of representative companies was conducted. We analysed the course syllabi of some domestic and about 50 foreign universities utilizing it with the literature review. Then we analysed the result of usage investigation and demand survey. According to the results, the relatively small number of universities and corporate institutions compared to U.S. were utilizing it for their training courses in short-term and partial Lab. Results are expected to be used in the training courses of business administration in universities and corporate.

• Journal of KIISE
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• v.45 no.1
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• pp.30-35
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• 2018

GuessWhat?! is a game in which two machine players, composed of questioner and answerer, ask and answer yes-no-N/A questions about the object hidden for the answerer in the image, and the questioner chooses the correct object. GuessWhat?! has received much attention in the field of deep learning and artificial intelligence as a testbed for cutting-edge research on the interplay of computer vision and dialogue systems. In this study, we discuss the objective function and characteristics of the GuessWhat?! game. In addition, we propose a simple solver for GuessWhat?! using a simple rule-based algorithm. Although a human needs four or five questions on average to solve this problem, the proposed method outperforms state-of-the-art deep learning methods using only two questions, and exceeds human performance using five questions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.9
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• pp.4166-4182
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• 2018

We consider the Device-to-Device (D2D) communications in cellular networks where each cellular user (CU) shares the same resource with multiple D2D users (DUs). In this paper, we aim to maximize the energy efficiency (EE) of the D2D networks, subject to an interference constraint required by the CU. Since the cellular and D2D communications belong to different networks, we consider to incentivize base station (BS) while assisting the DUs. To this end, we propose a Stackelberg game based interference pricing framework for the considered D2D communications in cellular networks. Unlike most of the existing methods, we use interference pricing framework to jointly address the EE resource allocation problem and the interference management in our networks rather than only improve the EE of the DUs or protect cellular networks. In particular, BS and all the users do not need all channel state information, which is more realistic in practice. In addition, two different pricing strategies are also proposed. Based on the two strategies, we analyze the equilibrium of the game. Moreover, in the first strategy, the upper and lower boundaries of the interference price are obtained. The closed-form expression is gained with a backward induction for the second strategy. Both offer valuable insights to the considered scenarios. Finally, compared with the existing work, the EE of the D2D communications is significantly improved. The advantageous performance of our scheme are demonstrated by the simulation results.

• Journal of Korean Medicine Rehabilitation
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• v.21 no.2
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• pp.227-238
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• 2011

Objectives : This study was to investigate the effects on using Virtual reality exercise program($Wii-Fit^{TM}$) for dynamic balance and walking ability in patients with stroke. Methods : The 22 subjects were randomly selected from the patients of the S hospital who met the study conditions. They were divided into a $Wii-Fit^{TM}$ balance game group of 12 patients and a conventional physical therapy group of 10 patients. The $Wii-Fit^{TM}$ balance game group received $Wii-Fit^{TM}$ balance game group general physiotherapy for 5 days a weeks, 30 minutes a day, for a 4 weeks and the conventional physical therapy group received general physiotherapy for the same period. The subjects were measured and compared for Brunel balance assessment, functional gait assessment, 6 minute walk test, GAITRite system before and after the program. Results : The experimental group tend to improve more than control group in shifting the weight to the affected side(p=0.040) and tap test(p<0.001). The experimental group tend to improve more than control group in FGA(p=0.016). The experimental group improved significantly more than control group in 6MWT(p=0.008). The experimental group improved significantly more than control group in gait speed, cadence, stride length. Conclusions : Virtual Reality program($Wii-Fit^{TM}$) with conventional physical therapy shows the benefits on dynamic balance and gait parameters in patients with stroke.

• Journal of Digital Contents Society
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• v.17 no.3
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• pp.203-210
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• 2016

Korean is free of omission of sentence elements and modifying scope, so managing it on morphological analyzer is better than parser. In this paper, we propose functional expansion methods of the morphological analyzer to ease the burden of parsing. This method is a longest phrase matching method. When the series of several morpheme have one syntax category by processing of Unknown-words, Compound verbs, Compound nouns, Numbers and Symbols, our method combines them into a syntactic unit. And then, it is to treat by giving them a semantic features as syntax unit. The proposed morphological analysis method removes unnecessary morphological ambiguities and deceases results of morphological analysis, so improves accuracy of tagger and parser. By empirical results, we found that our method deceases 73.4% of Parsing tree and 52.4% of parsing time on average.

• Journal of The Korean Association of Information Education
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• v.8 no.3
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• pp.397-402
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• 2004

In this paper, via analysis a education method of chapter for computer basic knowledge, whether educational computer game one of various education methods is able to extend computer basic knowledge, we taught and analyzed applied result, then we wanted to find possibility that educational computer games is possible to be contributed in computer education of elementary school. For extending of computer literacy of student, we did computer class with educational game. As a result, we could got a more effective outcome that student felt a fun and participated in class more active than normal class. Therefore, If we will use educational computer games to aim to raise abilities of computer literacy and problem solving that will be contributed in education which is coincided with knowledge basis society of informational period.

• Journal of Communications and Networks
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• v.18 no.4
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• pp.589-599
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• 2016

Most existing resource management problem models arise from the original desire of allocating resources in either a user-centric or network-centric manner. The difference between their objectives is obvious: user-centric methods attempt to optimize the utility of individual users, whereas network-centric models intend to optimize the collective utilities of the entire network. In this paper, from the above two aspects, we analyze the robust power control problem in device-to-device (D2D) communication underlaying cellular networks, where two types of channel uncertainty set (e.g., ellipsoidal and column-wise) are considered. In the user-centric method, we formulate the problem into the form of a Stackelberg game, where the energy efficiency (EE) of each user is the ingredient of utility function. In order to protect the cellular user equipment's (CUE) uplink transmission, we introduce a price based cost function into the objectives of D2D user equipment (DUE). The existence and uniqueness of the game with the influence of channel uncertainty and price are discussed. In the network-centric method, we aim to maximize the collective EE of CUEs and DUEs. We show that by the appropriate mathematical transformation, the network-centric D2D power control problem has the identical local solution to that of a special case of the user-centric problem, where price plays a key role. Numerical results show the performance of the robust power control algorithms in the user-centric and network-centric models.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.3A
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• pp.221-228
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• 2009

We consider distributed resource allocation among the links in a wireless network to minimize the total transmit power of the network while meeting the target rate required by each link. The problem to be solved is how to change the amount of wireless resource allocated and the number of links sharing the resource according to the interference environment so that the following distributed power control game converges to a stable point. To provide a distributed method with less complexity and lower information exchange than the centralized optimal method, we define the resource sharing level among the links from which the size of resource allocated and the links sharing the resource are determined distributively. It is shown that the performance of the proposed method is better than that of the conventional methods, orthogonal resource allocation only and resource sharing only, as well as it approaches to that of the optimal method.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1128-1141
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• 2009

Graphical expressions are continuously improving, spurred by the astonishing growth of the game technology industry. Despite such improvements, users are still demanding a more natural gaming environment and true reflections of human emotions. In real life, people can read a person's moods from facial color and expression. Hence, interactive facial colors in game characters provide a deeper level of reality. In this paper we propose a facial color adaptive technique, which is a combination of an emotional model based on human emotion theory, emotional expression pattern using colors of animation contents, and emotional reaction speed function based on human personality theory, as opposed to past methods that expressed emotion through blood flow, pulse, or skin temperature. Experiments show this of expression of the Facial Color Model based on facial color adoptive technique and expression of the animation contents is effective in conveying character emotions. Moreover, the proposed Facial Color Adaptive Technique can be applied not only to 2D games, but to 3D games as well.