• Journal of Digital Convergence
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• v.12 no.1
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• pp.555-561
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• 2014

Artificial intelligence in the game is mainly used to determine patterns of behavior of NPC (Non Player Character) and the enemy, path finding. These artificial intelligence is implemented by FSM (Finite State Machine) or Flocking method. The number of NPC behavior in FSM method is limited by the number of FSM states. If the number of states is too small, then NPC player can know the behavior patterns easily. On the other hand, too many implementation cases make it complicated. The NPC behaviors in Flocking method are determined by the leader's decision. Therefore, players can know easily direction of movement patterns or attack pattern of NPCs. To overcome these problem, this paper proposes agonistic behaviors(attacks, threats, showing courtesy, avoidance, submission)in animals to apply for the NPC, and implements agonistic behaviors using Unity3D engine. This paper can help developing a real sense of the NPC artificial intelligence.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.519-524
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• 2014

This research is the study of raindrop rendering. In case of rendering for raindrop in existing games, it is used on sprites images or roughly raindrops images using texture rendering. These methods are similar to the shape and size of all rendered raindrop. That's why players are limitations to provide a sense of reality. To overcome this limitation, this paper proposes a method for generating raindrop considering surface tension and contac angle, the amount of water, implements the raindrop using Unity3D engine. To demonstrate the usefulness of this paper, this paper shows the generated raindrop in accordance with the change in the area and pulling force in surface tension formula. This paper can help to provide the actuality in game in case of rendering the raindrop.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.187-199
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• 2013

Since the supply of smart phones, a change in mobile environment brought a turning point called a mobile generation. Smart mobile office is a combined form of smart phones' new mobile environment and its social media. A construction of mobile office environment using smart phones brought revitalization of the smart phone market. CRM construction also became new requirements for a customer management. However, based on the current information system audit standard, check fields or check lists are insufficient to apply to audit for CRM construction in a smart mobile office environment. Therefore, this paper proposes a model for auditing CRM system construction in smart mobile office environment. It proposes audit domain and check lists of CRM construction. It also verified whether the proposed model is suitable or not by doing a survey if deduced audit domain and check lists correspond with the purpose of the CRM construction audit during smart mobile office environment. As the result, this study appear to have more than average satisfaction the suitability results were.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.405-410
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• 2013

Due to the enforcement of a law about disability nondiscrimination and rights protection in 2008, the web accessibility has become an obligation. According to a survey targeting public sectors such as central administrative organization, local autonomous entity and etc., the level of compliance with web accessibility appeared to be improved every year. However, such legal mechanism focuses on the improvement of convenience for disabled people only and does not meet the concept of universal design that aims to satisfy every user. Therefore, this study verifies the status of web accessibility on 17 homepages of metropolitan and provincial offices of education. The status survey was carried out with 3 steps: 1) Verification through automated verification tool by National Information Society Agency, 2) Verification through Web Content Accessibility Guidelines(UD-WCAG) that adopts the concept of universal design, 3) Verification by using screen reader. Compared to the verification through automated verification tool, the overall compliance rate verified through UD-WCAG was reported lower.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.497-511
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• 2017

The purpose of this study was to explore players' perception and emotional reaction toward referee's judgment. The participants of this study were six players (three male and three female) in 2016 national team. The results of this study are as follows: First, the differences in referee judgement were dependant on referees' subjective view point, rapid judging capability, qualification and experience. Second, we found that the a referee's judgement less affected match's results. The countermeasures against the adverse referee judgment include excitement, appeal, flow interruption, thought conversion, and concentration. Third, there were many opinions that both the degree of influence of the referee's judgement and the countermeasures was such that athletes were "not affected". In conclusion, the major determinant of players' performance were game strategy and accuracy of skill although the referee's judgement affected player's emotional reaction both in positive and negative ways.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.339-348
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• 2016

The purpose of this study was to identify the Kolb's learning style and preference for instructional methods of undergraduate nursing students. Data were collected from 174 students at a university in D city using a structured questionnaire from October 19 to October 21 2015. Learning style ratio of nursing students was accommodator 34.5%, converger 33.9%, assimilator 16.1%, diverger 15.5% and preference scores for instructional methods were discussion 7.27, direct instruction 7.26, peer teaching 7.22, independent study 6.54, project 6.25, instruction through technology 5.77, game 5.45, simulation 4.23. A significant difference was found in experience of flipped learning between four learning styles groups of nursing students. However, there was no significant difference in the preference of instructional methods between the four learning styles groups. Most of the students were in the middle range of the learning styles. The assessment of nursing students' learning styles is expected to help educator to plan teaching strategies.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.94-102
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• 2009

As an advance in medical technology development is being made, and people are increasingly aware of the importance of health, related investments and people's average life expectancy rise, which in turn leads to an increase in elderly people. Also, with a growing number of elderly people enjoying their leisure activities, the utilization of multimedia contents using computers is on the increase, leading to an activated research into the establishment of digital culture for the elderly people. This paper proposes a Korean text input system to enable the elderly to utilize digital contents. Text input interface has conventionally depended on keyboards. However, the keyboard wherein many keys are dispersed creates problems for the elderly, such as a protracted recognition of keys and a lowered concentration when they use the keyboard. To address these problems, in this paper, the grip type controller interface for console games was used and a corresponding alphabet location algorithm was developed. To verify these efforts, a simulator was developed to test 20 elderly people; as a result, their satisfaction over and convenience of using the grip type interface increased.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.157-164
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• 2015

An efficient retrieval of useful information is a prerequisite of an optimal decision making system. Hence, A research of data mining techniques finding useful patterns from the various forms of data has been progressed with the increase of the application of Big Data for convergence and integration with other industries. Each technique is more likely to have its drawback so that the generalization of retrieving useful information is weak. Another integrated technique is essential for retrieving useful information. In this paper, a uncertainty measure of information is calculated such that algebraic probability is measured by Bayesian theory and then information entropy of the probability is measured. The proposed measure generates the effective reduct set (i.e., reduced set of necessary attributes) and formulating the core of the attribute set. Hence, the optimal decision rules are induced. Through simulation deciding contact lenses, the proposed approach is compared with the equivalence and value-reduct theories. As the result, the proposed is more general than the previous theories in useful decision-making.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.123-132
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• 2007

This study explored the characteristics of media contents in the past, present and future. Also, it investigated the problems in terms of production of contents and circulation in order to find an effective way of providing contents that can keep pace with ubiquitous environment as well as one source multi use in various platforms and channels. In conclusion, it is viewed easy to expect that content would be the most valuable assets in ubiquitous media environments and the importance of contents will be more growing. Rather than game and enjoyment-related contents, more informative and cultural programs will be more valuable so policy-makers as well as industry need to more cultivate this area. In addition, this study presented the method for copyright protection and suggested that governmental policy fostering independent production should also be followed.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.229-236
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• 2017

An efficient frequent pattern algorithm is essential for mining association rules as well as many other mining tasks for convergence with its application spread over a very broad spectrum. Models for mining pattern have been proposed using a FP-tree for storing compressed information about frequent patterns. In this paper, we propose a centroid frequent pattern growth algorithm which we called "CAWFP-Growth" that enhances he FP-Growth algorithm by making the center of weights and frequencies for the itemsets. Because the conventional constraint of maximum weighted support is not necessary to maintain the downward closure property, it is more likely to reduce the search time and the information loss of the frequent patterns. The experimental results show that the proposed algorithm achieves better performance than other algorithms without scarifying the accuracy and increasing the processing time via the centroid of the items. The MapReduce framework model is provided to handle large amounts of data via a pseudo-distributed computing environment. In addition, the modeling of the proposed algorithm is required in the fully distributed mode.