• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.82-91
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• 2021

The purpose of this study was to explore the prerequisites for securing the convergence validity of qualifications and the development of a lifelong education support system for the disabled. The research method consisted of the procedure of collecting and analyzing previous research literature and conducting expert meetings. The content of this study is based on the limitations and reflection of the current promotion of the qualification system for lifelong education professionals for the disabled, establishing the academic foundation and concept system for lifelong education for the disabled, designing a career development path for the professional competency of developing and operating the lifelong education curriculum for the disabled. Also, Restructuring of related institutions based on the curriculum for lifelong education for the disabled, and enhancement of qualification types for nurturing professionals for lifelong education for the disabled were suggested. As a result of the study, it was analyzed that the value and function of qualifications are very important in the comprehensive category of developing a lifelong education support system for persons with disabilities, and conclusively, the viewpoint of university foundation and the application model for nurturing professionals for lifelong education for persons with disabilities should be reviewed.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.133-146
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• 2021

It is important to conduct an anthropometric study to develop garment patterns to accommodate the changes found in the body size and type of men in their 30s, to effectively address fit dissatisfaction. Thus, this study aims to explore changes in the lower body sizes and body types of men in their 30s, and provide basic measurements for designing pants patterns. For this purpose, key anthropometric dimensions for the lower body of men in their 30s, which were acquired by the 6th (2010) and 7th (2015) survey conducted by Size Korea, were analyzed using SPSS 24.0 for Windows. Independent sample t-tests were conducted on major lower body sizes to track changes over time. Factor and cluster analyses were used to classify lower body types. From the comparison of the 6th (2010) and 7th (2015) surveys, it was found that the overall lower body size of men in their 30s were increasing in the height-related aspects, circumference, thickness, and width-as well as body weight and BMI. The five factors were derived to determine the typical lower body types of men in their 30s and the body types were classified into three categories through cluster analysis: (1) those with the largest body size, body volume, and obesity, (2) those with smallest body size, lower body volume, and obesity degree, visually the most skinny type, (3) those with BMI and weight that are the smallest, like Type 2, but the main circumference of the lower body is lower. In order to visually look at the statistical analysis, results were presented by producing a avatar based on the main lower body values.

• Trans-
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• v.13
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• pp.141-169
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• 2022

Analysis of narrative texts has been regarded as academically and practically important, and has been made from various perspectives and methods. In this paper, the computational narrative analysis methodology from the perspective of information processing was examined. From the point of view of information processing, the creation and acceptance of narrative is a bidirectional coding process mediated by narrative text, and narrative text can be said to be a multi-layered structured code. In this paper, four methodologies that share this point of view - character network analysis, text mining and sentiment analysis, continuity analysis of event composition, and knowledge analysis of narrative agents - were examined together with cases. Through this, the mechanism and possibility of computational methodology in narrative analysis were confirmed. In conclusion, the significance and side effects of computational narrative analysis were examined, and the necessity of designing a human-computer collaboration model based on the consilience of the humanities and science/technology was discussed. Based on this model, it was argued that aesthetically creative, ethically good, politically progressive, and cognitively sophisticated narratives could be made more effectively.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.29-36
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• 2022

Computational thinking in the AI and Big Data era for digital society means a series of problem-solving methods that involve expressing problems and their solutions in ways that computers can execute. Computational thinking is an approach to solving problems, designing systems, and understanding human behavior by deriving basic concepts in computer science, and solving difficult problems and elusive puzzles for students. We recently studied 93 pre-service teachers who are currently a freshman at ◯◯ university. The results of the first semester class, the participants created a satisfactory algorithm of the video level. Also, the proposed model was found to contribute greatly to the understanding of the computational thinking of the students participating in the class.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.277-296
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• 2022

Despite the characteristics of public data with various potentials, few studies have been conducted on general users who lack an understanding of data as well as on expansion of the service uses. This study examined which digital-service-quality factors affect the intention to continue using public data services based on the expectation confirmation theory. As a result of the analysis, satisfaction partially mediated between expectation agreement and continued use intention for understandability and efficiency, which were combined as one factor, and completely mediated the relationship between perceived usefulness expectation agreement and continued use intention. It can be seen that the more the understanding and usefulness of the information provided by the service is satisfied, the higher the willingness to use it. Accordingly, it suggested adding an electronic bookmark function and the provision of online community for users to improve the overall quality of services. This study is significant in that it provided evidence on which part to focus on when designing electronic services from the point of view of general users.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.1-14
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• 2022

K-pop stars are an important influence in the era of digital culture based on emotions. The purpose of this study is to visually express the identity and worldview of their music in the virtual and real world, and to promote Korea's current and past culture. The study also intends to appeal to the emotions of the global fans by designing original textile in their music video 'IDOL' on Tiny TAN - a symbol of world pop star BTS. For design development, traditional Korean images shown in the 'IDOL' video were collected, patterns for each member were selected, and a motif was designed on Adobe Illustrator. We selected the dragon as the motif for V, cloud for Suga, chrysanthemums for Jin, mask for Jung Kook, hanok pavilion for RM, fan for Jimin, and Sam Taegeuk for J-Hope. The selected motifs were designed as per the four textile design arrangement methods: square pattern, 1/2 half drop pattern, turn-around pattern, and panel pattern. The design was presented by mapping Kwaeja to Tiny TAN character. The developed textile design can be used not only for character costumes in virtual space, but also for various products such as clothes, accessories, bedding, cosmetics, stationery, and food. By using it to produce goods inspired by K-pop stars, it can be used as basic data for the development of high value-added competitive products in the global market and create synergy effects of K-Design, which would lead a new trend in the design world.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.76-84
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• 2022

In this paper, in order to compose the visual perception cognitive function training content that can be linked with the IPUZZLE image block, an interactive content device that utilizes photos and videos of smartphones. Four areas of visual memory, visual continuity, spatial relationship, and visual discrimination were derived and the content operation, application method, and scenario were written. It was intended to continuously give and induce children's desire to participate in training by designing the content image and developing the existing learning terrain visual and perceptual cognitive function training materials in the form of mobile mini-games. Experiential activities were conducted for general children and their guardians using the developed contents, and the results were found to be significant in terms of concentration, effect, and effect compared to basic puzzle toys. It is expected that this thesis will be a meaningful data for the study of cognitive function improvement activities based on digital toys and contents.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1457-1462
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• 2021

Untact order payment has become a new normal since the COVID-19. BLE beacon is a technology that supports low-power wireless communication within 70 meters without Bluetooth pairing and is specialized for indoor positioning. Therefore, it is suitable for building and providing O2O services beyond B2C and B2B services. However, beacons have a lower utilization rate because they have fewer platforms than wifi that support long-distance wireless communication. Therefore, this paper aims to provide more convenient non-face-to-face related services than before by designing and proposing an O2O service platform using BLE beacons. When scanning beacons, not only does it receive advertising data that beacons have, but it also ensures that the actual distance between the user's terminal and beacons is accurately calculated. Through accurate location, the O2O service platform will be able to provide users with store information, such as coupons and discounts, museum exhibits, and traffic information at the right time.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.769-777
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• 2022

Purpose: This study analyzes and studies the characteristics of the Jeju area and uses them as basic data such as construction method design in the future development project. Method: Based on the ground survey data of the construction conducted in Jeju, the depth, relative density, N value, function state, color tone, groundwater level, and compressive strength were analyzed and studied. Result: Studies show that Jeju has columnar joints consisting of ancient volcanic activity and rapid cooling by nearby seawater, thick sand layers found on the coast, and clinker layers and Seogwipo layers formed by Mercury volcanic activity. Conclusion: It is hoped that it will be used as data for selecting basic design and basic construction method by understanding the special ground form of Jeju area and reflecting its characteristics well when designing construction.

• Imaging Science in Dentistry
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• v.52 no.4
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• pp.383-391
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• 2022

Purpose: Periodontitis, the most prevalent chronic inflammatory condition affecting teeth-supporting tissues, is diagnosed and classified through clinical and radiographic examinations. The staging of periodontitis using panoramic radiographs provides information for designing computer-assisted diagnostic systems. Performing image segmentation in periodontitis is required for image processing in diagnostic applications. This study evaluated image segmentation for periodontitis staging based on deep learning approaches. Materials and Methods: Multi-Label U-Net and Mask R-CNN models were compared for image segmentation to detect periodontitis using 100 digital panoramic radiographs. Normal conditions and 4 stages of periodontitis were annotated on these panoramic radiographs. A total of 1100 original and augmented images were then randomly divided into a training (75%) dataset to produce segmentation models and a testing (25%) dataset to determine the evaluation metrics of the segmentation models. Results: The performance of the segmentation models against the radiographic diagnosis of periodontitis conducted by a dentist was described by evaluation metrics(i.e., dice coefficient and intersection-over-union [IoU] score). MultiLabel U-Net achieved a dice coefficient of 0.96 and an IoU score of 0.97. Meanwhile, Mask R-CNN attained a dice coefficient of 0.87 and an IoU score of 0.74. U-Net showed the characteristic of semantic segmentation, and Mask R-CNN performed instance segmentation with accuracy, precision, recall, and F1-score values of 95%, 85.6%, 88.2%, and 86.6%, respectively. Conclusion: Multi-Label U-Net produced superior image segmentation to that of Mask R-CNN. The authors recommend integrating it with other techniques to develop hybrid models for automatic periodontitis detection.