• Convergence Security Journal
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• v.18 no.5_2
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• pp.53-60
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• 2018

As science and technology develops, it is expected that more precise and various weapons will be used in a much more complicate future battlefield environment. C4I is a system that provides the proper and necessary information to commanders and their staffs to recognize the battlefield situation by connecting and visualizing the complex battlefield environment and various weapon systems together. Commanders and staffs perform battle command training based on a computer or paper map to better utilize the C4I system and Command Post eXercise(CPX) is a process of the training. This is the way for them to improve command control and decision making skills. Analyzing of line of sight(LOS), identifying communication fringe area, deploying troop strength, and determining unit maneuver are highly restricted under the 2D based CPX. In recent years, however, three-dimensional (3D) CPX simulators have been developed to overcome these drawbacks. In response to this trend, this paper proposes a multi-user based CPX simulator using augmented reality (AR) glass, which can be used as a practical war game simulator.

• Journal of Convergence Korean Medicine
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• v.5 no.1
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• pp.25-44
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• 2023

Objectives: Gaming disorder has been viewed as a disease in the DSM-5 and ICD-11. Its essential symptoms are loss of control over gaming, gaming becoming a markedly prioritized activity over other activities of daily living, and continued and excessive use of gaming despite negative problems occurring. Methods: Children and adolescents are especially vulnerable to gaming disorder because the striatal pathways related to reward develop earlier than the control regions of the prefrontal cortex. It is also associated with decreased dopamine D2 receptors. Addiction is related to 'want' and is explained by incentive-sensitization. In addition, allostasis, in which homeostasis is continuously achieved at a new target value, is also related to gaming disorder. In addition, personality causes, unchangeable factors, and external factors can influence on the onset of gaming disorder. Results: Prevention is the best solution for gaming disorder, and the role of parents is important. For gaming disorder, bupropion is used, cognitive-behavioral therapy and family-based therapy are also beneficial. Herbal medicine treatment such as Antler velvet and ginseng can be effective. Electroacupuncture and acupuncture using PC6, SP6, and LR3 has a correlation with relieving Internet craving. Ear-acupuncture was also effective in treating addiction. Conclusion: Psychologically, 'want' is an intense longing for reward and motivation, and is related to addiction. This 'want' may rather be related to avoidance, and game addiction in children and adolescents may be due to wanting to escape from academic stress or avoidance of comparison. Therefore, the importance of 'like', which gives pleasure in itself, increases. It can also be explained with Sasang Constitutional Medicine.

• Journal of the Korea Computer Graphics Society
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• v.24 no.5
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• pp.21-30
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• 2018

In this paper, we use Sound-tracing, a 3D sound technology based on ray-tracing that uses geometric method as auditory technology to enhance realism. The Sound-tracing is costly in the sound propagation stage. In order to reduce the sound propagation cost, we propose a method to calculate the average effective frame number of previous frames using the frame coherence property and to adjust the depth according to the space based on the calculated number. Experimental results show that the path loss rate is 0.72% and the traversal & Intersection test calculation amount is decreased by 85.13% and the frame rate is increased by 4.48% when the sound source is indoors, compared with the result of the case without depth control. When the sound source was outdoors, the path loss was 0% and the traversal & Intersection test calculation amount is decreased by 25.01% and the frame rate increased by 7.85%. This allowed the rendering performance to be increased while minimizing the path loss rate.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.409-420
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• 2012

The decision-making by agents in games is commonly based on reinforcement learning. To improve the quality of agents, it is necessary to solve the problems of the time and state space that are required for learning. Such problems can be solved by Macro-Actions, which are defined and executed by a sequence of primitive actions. In this line of research, the learning time is reduced by cutting down the number of policy decisions by agents. Macro-Actions were originally defined as combinations of the same primitive actions. Based on studies that showed the generation of Macro-Actions by learning, Macro-Actions are now thought to consist of diverse kinds of primitive actions. However an enormous amount of learning time and state space are required to generate Macro-Actions. To resolve these issues, we can apply insights from studies on the learning of tasks through Programming by Demonstration (PbD) to generate Macro-Actions that reduce the learning time and state space. In this paper, we propose a method to define and execute Macro-Actions. Macro-Actions are learned from a human subject via PbD and a policy is learned by reinforcement learning. In an experiment, the proposed method was applied to a car simulation to verify the scalability of the proposed method. Data was collected from the driving control of a human subject, and then the Macro-Actions that are required for running a car were generated. Furthermore, the policy that is necessary for driving on a track was learned. The acquisition of Macro-Actions by PbD reduced the driving time by about 16% compared to the case in which Macro-Actions were directly defined by a human subject. In addition, the learning time was also reduced by a faster convergence of the optimum policies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.7
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• pp.1193-1201
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• 2008

In this paper, we propose a automated techniques for generating the gait animation of humanoid character model required in game applications. The proposed method can generate motion data of various styles with intuitive manipulation, and techniques for editing motion data are also proposed. In addition, we introduce an automated tool for gait animation of character model developed with the proposed method to verify the effectiveness of our method. The proposed method tan be successfully employed in motion authoring tools. In this paper, only the gait animation was considered. However, the proposed method can be applied to various motions and can be utilized as a motion engine that automatically generates proper motion according to the state of the character. The motion engine can express various behavior of the character without requiring motion data base which is usually employed in 3D online games.

• Journal of the Korea Computer Graphics Society
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• v.25 no.3
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• pp.85-92
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• 2019

A 3D virtual character playing a role in a digital story-telling has a unique style in its appearance and motion. Because the style reflects the unique personality of the character, it is very important to preserve the style and keep its consistency. However, when the character's motion is directly controlled by a user's motion who is wearing motion sensors, the unique style can be discarded. We present a novel character motion control method that uses only a small amount of animation data created only for the character to preserve the style of the character motion. Instead of machine learning approaches requiring a large amount of training data, we suggest a search-based method, which directly searches the most similar character pose from the animation data to the current user's pose. To show the usability of our method, we conducted our experiments with a character model and its animation data created by an expert designer for a virtual reality game. To prove that our method preserves well the original motion style of the character, we compared our result with the result obtained by using general human motion capture data. In addition, to show the scalability of our method, we presented experimental results with different numbers of motion sensors.

• Cartoon and Animation Studies
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• s.40
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• pp.397-421
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• 2015

Aristotle's Poetics is the earliest work of dramaturgy. It explains some of the most important narrative notions, for example, Mimesis, Katharsis, Mythos(Plot), Ethos(Character), Anagnorisis and Peripeteia. etc. Aristotle considered the plot which is the arrangement of events, as the most important element of drama. This paper presents an example of a plot configuration as an alternative to the traditional narration used since Aristotle. Dead Island, developed by Techland and published by Deep Silver, is one of the most successful action role-playing survival zombie video games. Its trailer, the Winner of Gold Prize for Internet Film at Cannes Lions International Festival of Creativity in 2011. Since the purpose of the trailer is to attract the audiences/gamers to the film/game, it has generally a similer narrative method from its own works. But Dead Island trailer is different. We treat this trailer as an short animation. It could be a new example of the non-linear narrative by the control of the time for example, temporal arrangement, direction and speed. We analyse all shots of Dead Island's trailer with Poetics' rules and with $G{\acute{e}}rard$ Genette's some narrative notions for example temporal order and duration. Furthermore we look for how to maximize the audiences' curiosity by the adjustment of the time, combined with its shocking images.