• Journal of Digital Convergence
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• v.18 no.12
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• pp.507-512
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• 2020

In recent years, various virtual reality games are becoming commercialized. A variety of large 3D online games popular with users has begun to transform into VR games. < the Elder Scrolls V: skyrim VR > as a derivative of large-scale 3D online games < the Elder Scrolls V: skyrim special edition >, Since its launch on the steam game platform in April 2018, because of its original UI design, maximizes the user's immersive experience and firmly maintains the leading position of VR games. Although the visual similarities between < the Elder Scrolls V: Skylim VR > and < the Elder Scrolls V: Skylim Special Edition > are high, but the visual elements in the UI are quite different. This paper studies characters, scenes, operating interfaces, colors and fonts five visual UI elements that enhance the immersion in game. It provided a unique interface design reference to immersive experience of new VR games in the future.

• The Research Journal of the Costume Culture
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• v.29 no.3
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• pp.374-387
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• 2021

The purpose of this study is to develop up-cycling fashion design methods centered on discarded denim material for the study of original up-cycling design methods. Up-cycling fashion design work was developed using digital clothing technology. This is a recent hot topic among sustainable fashion design methods. Up-cycling fashion design expression methods (categorized as dismantlement, collages, dépaysement, grafting, weaving, and tearing) were centered on design methods. These methods create various three-dimensional modeling effects in planar forms, whereby five pieces can be applied to the fabric and digitally produced. The results are as follows: First, the use of discarded denim fabric for the development of up-cycling fashion design pieces enabled the recycling of existing resources, provided solutions to environmental pollution problems, and provided expansion opportunities for design processes for sustainable fashion products that expand the design value of denim products and their utility. Second, new eco-friendly fashion designs that attempt to achieve diversity in modern fashion trends could be presented through formative contemporary fashion produced by up-cycling work products. Third, up-cycling fashion design work is expected to provide opportunities for eco-friendly fashion design methods. This will expand the value of sustainable fashion design by recycling simple waste materials through the use of three-dimensional digital clothing technology and further through the presentation of expanded life cycles that extend product planning, production, and life cycles.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.463-471
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• 2020

Humanity faces the fourth industrial revolution, a time of technological revolution by the collaboration of various industries including the fields of artificial intelligence(AI) and big data. Many countries are focused on fostering AI talent to prevail in the coming technological revolution. While Korea also provides some strategies to enhance the cultivation of AI talent, it is still difficult for Korean undergraduate students to get involved in AI studies. Through on the implementation of 'Big data analysis based AI education', which allows an easier approach to AI education, this paper examined the changes in the attitudes of undergraduate students regarding general AI education. 'Big data analysis based AI education' was provided at undergraduate level for 5.5 weeks (15 hours). The attitudes of undergraduate students were analyzed by pre-postmortem. The results showed there was a significant improvement in confidence and self-directed in regard to receiving AI education. With these results, further active research to develop basic AI education that also increases confidence and self-initiative can be expected.

• The Journal of Korean Institute of Information Technology
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• v.17 no.4
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• pp.87-97
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• 2019

SRS was proposed for immediate processing of the meaning of sensor data on mobile devices independent from specific sensor networks and sensor type. However, each time new sensor data is received, sensor data inspection operations are performed repeatedly, and it cause resulting in low performance. App profile-based SRS has been proposed to resolve the problem. The app profile-based SRS has improved the SRS problem through the profile, but has been tested in a virtual simulation environment. After that the test was experimented in a real-time environment, but has not been tested with a variety of dynamic factors. Therefore, this paper experiment considering such as user mobility and sensor density in real-time environment. And this paper also evaluate performance of the App profile-based through analysis of the results of the experiment. As a result, app profile-based SRS is high influence by density and sensor type, and the number of sensor node is not influence.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.424-431
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• 2021

This study explores fire prevention measures for single-person households on the phenomenon of an increase in single-person households due to changes in the family structure due to low birthrate and aging population, full marriage, non-marriage, separation, bereavement, and returning to farming villages, and increased flexibility in the labor market. The factor that affects the fire of single-person households is the residential environment problem at the structural level. In terms of behavior, there is an increase in fire occurrence due to the rearing of companion animals. In order to prevent fires in single-person households, safety regulations without exceptions are needed to improve the residential environment at the structural level. At the behavioral level, it is necessary to expand the prevention and safety guidance of related organizations. In addition, as a measure to prevent fire caused by companion animals, manufacturers of electric ranges should develop safety devices to prevent fires caused by companion animals, such as an automatic power-off device or power supply using a timer. It can also be an important means to create and distribute promotional videos of measures necessary to safely raise companion animals, or to develop and distribute disaster preparedness programs implemented in virtual reality.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.611-622
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• 2020

As the advancement of technologies on indoor positioning systems and measuring devices such as LiDAR (Light Detection And Ranging) and cameras, the demands on analyzing and searching indoor spaces and visualization services via virtual and augmented reality have rapidly increasing. To this end, it is necessary to model 3D objects from measured data from real-world structures. In addition, it is important to store these structured data in standardized formats to improve the applicability and interoperability. In this paper, we propose a method to construct IndoorGML data, which is an international standard for indoor modeling, from point cloud data acquired from LiDAR sensors. After examining considerations that should be addressed in IndoorGML data, we present a construction method, which consists of free space extraction and connectivity detection processes. With experimental results, we demonstrate that the proposed method can effectively reconstruct the 3D model from point cloud.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1031-1041
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• 2020

Cloud computing technology plays an important role in the deep learning industry as deep learning services are deployed frequently on top of cloud infrastructures. In such cloud environment, virtualization technology provides logically independent and isolated computing space for each tenant. However, recent studies demonstrate that by leveraging vulnerabilities of virtualization techniques and shared processor architectures in the cloud system, various side-channels can be established between cloud tenants. In this paper, we propose a novel attack scenario that can steal internal information of deep learning models by exploiting the Meltdown vulnerability in a multi-tenant system environment. On the basis of our experiment, the proposed attack method could extract internal information of a TensorFlow deep-learning service with 92.875% accuracy and 1.325kB/s extraction speed.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1075-1080
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• 2020

The development of computing technology and networking is developing as the fundamental technology of the 4th industrial revolution. AR and VR technologies, which are dual realistic media fields, are developing into many application areas, especially! The potential for development in the medical field is very high. As for the development potential of the health care field, the 4th industrial revolution such as AR/VR to solve problems, such as the increase of various chronic diseases due to the aging of the population, the limitation of infrastructure that can deal with them, and the lack of specialized personnel. It is adopting services in the healthcare field using representative technologies. Accordingly, AR/VR in the healthcare field occupies about 17% of the total industrial market. Therefore, in this study, cognitive judgment technology using AR applies cognitive evaluation through a computing system to the mild cognitive impairment, and based on the results, researches to utilize cognitive rehabilitation contents using augmented reality, and hardware necessary for cognitive judgment technology. Also, software design to help in the field of cognitive judgment technology and healthcare using AR.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.127-140
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• 2021

Recently, sequence data containing time information, such as sensor measurement data and purchase history, has been generated in various applications. So far, many methods for finding sequences that are significantly different from other sequences among given sequences have been proposed. However, most of them have a limitation that they consider only the order of elements in the sequences. Therefore, in this paper, we propose a new anomalous sequence detection method that considers both the order of elements and the time interval between elements. The proposed method uses an extended LSTM autoencoder model, which has an additional layer that converts a sequence into a form that can help effectively learn both the order of elements and the time interval between elements. The proposed method learns the features of the given sequences with the extended LSTM autoencoder model, and then detects sequences that the model does not reconstruct well as anomalous sequences. Using experiments on synthetic data that contains both normal and anomalous sequences, we show that the proposed method achieves an accuracy close to 100% compared to the method that uses only the traditional LSTM autoencoder.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.159-166
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• 2021

The introduction of the communicative approach in the English language education brings in a Korean the English Program in Korea (EPIK), which is a Korean government sponsored program established 1995. by the Korean Ministry of Education improve Korean students' and teachers' communicative competency in English within the public school system in Korea. For this goal, EPIK invites English speakers from 7 major English-speaking countries. However, the effectiveness of this program has been questioned in Korea. Thus, the objective of this paper is to explore the current status, problems, and the directions for the program to be aimed at, and for the effectiveness of EPIK through investigation of the program. Then this paper presents some possible solutions and suggestions including the possibility of VR use in orientation and training programs in order to empower both Korean teachers of English and English native teachers in Korea.