• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.213-217
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• 2020

In this paper, we present that Virtual Reality (VR) is a type of media that has attracted interest in storytelling and media utilization. VR was first discussed as a specific narrative medium with traditional story medium. Via this discussion, The innate difference of VR is that the role of the media users in which the narrative is communicated were active in the development of the narrative unlike that of most classical narrative media. We also discussed specific features related to VR based on the theories of traditional literary criticism, movie reviews, and plays. Through these discussions, we aruged two directions of VR storytelling production as an narrative medium, its specificity, and its expressiveness for VR producers. First, story processing and characters can be introduced as part of continuing a new narrative by altering the interaction history that appears in VR stories to user interest ratings. Second, VR interaction responds intuitively to the idea that it represents a trajectory across the story surface of all possible interactions. More specific theories and controvercials are discussed.

• Journal of Korean Biological Nursing Science
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• v.3 no.2
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• pp.63-68
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• 2001

Increasing interest in computer-mediated learning technologies has prompted educators to incorporate them into many learning environments ; however, there is still little evaluative evidence to support their effectiveness. This report describes the development and evaluation of a web-based instructional program on basic nursing science for nursing students. Researcher-designed questionnaires were used to assess the characteristics of our students, and to solicit their ratings of the instructional program on ease of use, accuracy of content, clarity of content, interest, and convenience of the program, using 5-point Likert scales. The respondents indicated that the package was easy and convenient to use, with high technical quality, and of a level challenging to some but not all of the students. On-line quizzes were most highly rated. Also it was confirmed that frequent users of electronic bulletin board showed much higher achievement score than that of nonfrequent users. It was also found that the effect of cyber education was dependent on the active participation of the students. These data suggest that the use of web-based instructional program as a distance education strategy can be an effective method for nursing students and nurses.

• Proceedings of the KIEE Conference
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• 1994.07a
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• pp.237-239
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• 1994

The MOS-controlled thyristor(MCT) is a new power semi-conductor device that combines four layers thyristor structure presenting regenerative action and MOS-gate providing controlled turn-on and turn-off. The MCT has very fast switching speed owing to voltage controlled MOS-gate, and very low on-state voltage drop resulting from regenerative action of four layers thyristor structure. In addition, because of a higher dv/dt rating and di/dt rating, gate drive circuit and snubber circuit can be simpler comparing to other power switching devices. So recently much interest and endeavor is being applied to develop the performance and ratings of the MCT. This paper describes the switching characteristic of the MCT for its practical applications and presents a model for PSPICE circuit simulation. The model for PSPICE circuit simulation is compared to the experimental result using MCTV75P60F1 made by Harris co..

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.87-93
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• 2019

These days, as interest in the recommendation system with deep learning is increasing, a number of related studies to develop a performance for collaborative filtering through autoencoder, a state-of-the-art deep learning neural network architecture has advanced considerably. The purpose of this study is to propose autoencoder which is used by the recommendation system to predict ratings, and we added more hidden layers to the original architecture of autoencoder so that we implemented deep autoencoder with 3 to 5 hidden layers for much deeper architecture. In this paper, therefore we make a comparison between the performance of them. In this research, we use 2-dimensional arrays and 3-dimensional tensor as the input dataset. As a result, we found a correlation between matrix entry of the 3-dimensional dataset such as item-time and user-time and also figured out that deep autoencoder with extra hidden layers generalized even better performance than autoencoder.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.187-189
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• 2022

As the structure and operation method of MASS(Maritime Autonomous Surface Ship) are discussed accroding to the IMO degree, the interest and necessity for remote operators who manage and supervise the operation of MASS are increasing gradually. The form of MASS operation is clearly accompanied by various changes including new technologies and equipment in comparison with the current operation of ship. In IMO Degree 2 and 3, the capabilities that remote operators who will operate them must differ from those of existing seafarers(navigation officers, engineers and ratings). Regarding this remote operation, the NI(Nautical Institute) is the first in the world to present a syllabus and a curriculum of qualification for remote operator. Based on this, the paper introduces and compares the education model of MASS remote control operation and NI model, and further uses it as basic data for the creation of curriculum for future MASS remote operator.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.9-19
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• 2018

As the recent developments in the game industry and people's interest in game streaming become more popular, non-professional gamers are also interested in games and buying them. However, it is difficult to judge which game is the most enjoyable among the games released in dozens every day. Although the game sales platform is equipped with the game recommendation function, it is not accurate because it is used as a means of increasing their sales and recommending users with a focus on their discount products or new products. For this reason, in this paper, we propose a game recommendation system based on the users ratings, which raises the recommendation satisfaction level of users and appropriately reflect their experience. In the system, we implement the rate prediction function using collaborative filtering and the game recommendation function using Naive Bayesian classifier to provide users with quick and accurate recommendations. As the result, the rate prediction algorithm achieved a throughput of 2.4 seconds and an average of 72.1 percent accuracy. For the game recommendation algorithm, we obtained 75.187 percent accuracy and were able to provide users with fast and accurate recommendations.

• Korean journal of communication and information
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• v.41
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• pp.200-231
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• 2008

This study content-analyzed Korean cable television programs aired from Feb. 6 to Feb. 19, 2007, focusing on the contextual variables linked to violent acts. A total of 657 PAT's (perpetrator-action-target) in the 68 programs sampled were analyzed for characters' age, sex, type, relationship, and motivation, humorization, punishment for their violent acts, and finally reality of violence. According to the results, (1) most violence occurred among male characters, who were at their ages between 20 and 39; (2) more than half of the total violent acts happened among acquaintances including family members; (3) anger, retaliation, personal or group interest, and violence for fun were ranked at the top tiers of the motivation list; (4) most violences were overlooked without punishment; (5) and about 80% of the whole violence were realistic. In terms of program types, (1) female perpetrator and victims appealed more often in drama than the other genres; (2) violence among acquaintances and simple fun as motivation were prevalent most in entertainment programs; (3) every violent act in children's programs was done by unrealistic characters. According to the analysis by program ratings, (1) while least violence appeared in '19 and older', all of the violent acts were portrayed as realistic; (2) humorization were most prevalent in the 'everyone' rating; (3) and female perpetrators and victims appealed most in the programs rated as '15 and older'. Generally, various contextualized violences displayed different distributions according to program types and ratings. The qualitative features of the current findings about cable television violence provide a fundamental data for future studies, which will explore the subsequent effects of violent media contents.

• Korean Journal of Construction Engineering and Management
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• v.19 no.4
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• pp.21-33
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• 2018

In 2018, the real estate markets have hardly been transacted according to the government's tight regulations of real estates, and have the high possibility to reach a low hit due to the hike of loan interest rates following the U. S rise of base money rate. The key profits for the large construction companies mainly come from the overseas plant projects and the domestic non-governmental construction projects. They suffered a lot such as the lowering of their credit ratings due to the large losses caused by the frquent design changes and work delay. Even in the domestic non-governmental construction projects, the general business risks are on the rise due to the property marketing moving over to the decreasing phase. The small and medium sized security companies has realized a lot of operaring profits as they participated in the PF market to make up for the losses in the securities trading business. But, now as the housing market is not so good around the nation except Seoul and the financial states of large construction companies are not good enough, they can face the liquidity crisis if there happens the problems in the PF backed securities which they have handled. As Korean economy experienced the crisis in the savings banks before, it is recommended that Financial Supervisory Service proposes the preemptive control method and supervision direction to overcome the crisis.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.11-16
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• 2022

As an interest in the development of artificial intelligence(AI) technology in the water supply sector increases, we have developed an AI algorithm that can predict improvement decision-making ratings through repetitive learning using the data of pipe condition evaluation results, and present the most reliable prediction model through a verification process. We have developed the algorithm that can predict pipe ratings by pre-processing 12 indirect evaluation items based on the 2020 Han River Basin's basic plan and applying the AI algorithm to update weighting factors through backpropagation. This method ensured that the concordance rate between the direct evaluation result value and the calculated result value through repetitive learning and verification was more than 90%. As a result of the algorithm accuracy verification process, it was confirmed that all water pipe type data were evenly distributed, and the more learning data, the higher prediction accuracy. If data from all across the country is collected, the reliability of the prediction technique for pipe ratings using AI algorithm will be improved, and therefore, it is expected that the AI algorithm will play a role in supporting decision-making in the objective evaluation of the condition of aging pipes.

• Journal of Fashion Business
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• v.14 no.1
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• pp.184-197
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• 2010

This study was conducted by the questionnaires to 323 undergraduate students in fashion related departments. Questionnaires were designed to ask total 23 questions including possibility of halfway dropouts, establishment of goals, self-improvement, entrance motives, satisfaction ratings of academic subjects, job prospects and path planning, amelioration of ways to instruct, desires for the integrated lessons and intense academic courses, wishes of field project education carrying out tasks, desired lecturers, and others. Results in this research were summarized as follows. To begin with, it was appeared that respondents with possibility of halfway dropouts showed considerable percentage (25.4%) and the reasons left out were various including joining the army, the poor economic conditions in family, a major not corresponding with one's aptitude. Secondly, in the extent of establishing goals and improving oneself, there was the difference between people with possibility of halfway dropouts and people without that, and it was judged that the extent of establishing goals and improving oneself as good parameters could explain halfway omission. Thirdly, the ways to teach for getting classes interesting were to make instruction according to one's capabilities, to progress systematically, and to take lessons with specific goals. Fourth, many respondents answered to want the integrated lessons, intense academic courses, and field project education carrying out tasks. Fifth, an overwhelming majority of respondents hoped instructors with a outstanding ability in business. For improvement of the ways to instruct and the role of professors, it is suggested as follows. First, students are given intelligible lessons focused on fundamental subjects fitted to their levels and also need gradual intense academic courses classified by their way directions and interests. Second, creative and individualized teaching methods depending on the majors and levels are developed to help students have strong interest in schoolwork. Third, professors are constantly to learn practical techniques and skills related to industries in step with the education goals of college. Fourth, it is desirable to adopt instructors with practical business talents rather than theoretical capabilities.