• Journal of Technologic Dentistry
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• v.43 no.4
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• pp.139-144
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• 2021

Purpose: This study aimed to provide basic data to identify the current status of use of maxillofacial prosthesis across the world and discuss its application and research directions in Korea. Methods: Existing literature (study period, 2010 to 2020) from international studies was collected from PsycINFO, CINAHL, and PubMed, whereas domestic studies were searched using KISS and RISS. Maxillofacial prosthesis was used as the search word. A total of three foreign and two domestic articles were searched, and as a result, a total of 12 documents were selected for analysis. Results: A total of 3,311 studies were searched in this study. Among them, 3,253 articles contained in duplicate inspection and exclusion criteria were removed, and 12 articles were selected by removing literature that did not meet the research criteria through title and green and text reviews. Finally, two researchers selected the final 12 articles through handwritten searches. Eleven of them were case studies, and the remaining one was a descriptive study. Conclusion: This study identified the current status of studies that implemented maxillofacial prosthesis, published from January 2010 to January 2020. Facial prosthetics improve the quality of life of patients by restoring defects that appear on different types of mouth and face and promote both function and aesthetics. Therefore, they can be used to treat various conditions and have a positive impact on the future.

• Korean Journal of Head & Neck Oncology
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• v.37 no.2
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• pp.61-65
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• 2021

Epithelial-myoepithelial carcinoma is rare, low-grade malignant neoplasm that compromises approximately 1% of all salivary gland neoplasms. We reported a 68-year-old woman with epithelial-myoepithelial carcinoma in the parotid gland. We analyzed demographic and clinicopathological characteristics of salivary gland epithelial-myoepithelial carcinoma which has been reported in 33 cases in Korea from 1992 to 2017, and compared this result to overseas retrospective cohort studies. There was no significance in terms of mean age at diagnosis, the predominance of females, low frequency in regional lymph nodes, and distant metastasis between the two groups. However, T classification and AJCC stage at diagnosis in domestic cases are more advanced than those of overseas cases. Although the recurrence rate in domestic cases has been reported lower than that of overseas, further study may be needed considering that the follow-up period after treatment is short in domestic cases.

• Journal of Society of Preventive Korean Medicine
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• v.25 no.3
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• pp.73-88
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• 2021

Objectives : The purpose of this study is to explore the experiences of traditional korean medical doctors (TKMD) who have treated victims of sexual violence by collecting their qualitative data that cannot be obtained with statistical data. Methods : In-depth interviews were conducted with semi-structured questionnaires for each of 5 TKMDs who had experiences in treating sexual violence victims. For analysis, the interviews were recorded along with their facial expressions and actions during the interview process, and all collected data were analyzed by colaizzi's method. In each process, a 'phenomenological reduction' was applied. Results : The identity of TKMD's experience of treating sexual violence victims was structured into 25 themes, 9 theme clusters, and 4 categories. The 4 categories included 'Professionalism and sense of efficacy', 'Personal life experiences and mental trauma treatment experiences that are mutually influencing each other', 'Factors needed to increase TKMD's participation in treatment of sexual violence victims', 'Deriving the future strategy of traditional korean medicine'. Conclusions : This study derived the essence and meaning of TKMDs' experiences in treating sexual violence victims, and presented future directions of traditional korean medicine in this field. It is expected that the results of this study would be used as the basis for establishing the traditional korean medical support system for sexual violence victims in the context of the korean medical system.

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.207-215
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• 2020

Studies on aesthetic experience in games mostly focus on engineering approach centered on structural determination of specific target within the game as well as humanistic·social approach in forms of artistic conversation on game play experience. This paper have established a theoretic guideline regarding the progress of aesthetic experience which allows analysis from the perspective of player experience acquired during game play. Based on such guideline, the study classifies cognitive data (Eye-Tracking, Playing Action, Facial Expression) on aesthetic experience and suggests the methods to measure such data. By deducing errors and points to be considered related to measuring methods through pilot tests, this study will contribute to the execution of empirical study focused on player perspective.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.1-5
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• 2023

With recent advancements in artificial intelligence (AI) technology, more products based on AI are being launched and used. However, using AI safely requires an awareness of the potential risks it can pose. These concerns must be evaluated by experts and users must be informed of the results. In response to this need, many countries have implemented certification programs for products based on AI. In this study, we analyze several trends and differences in AI product certification programs across several countries and emphasize the importance of such programs in ensuring the safety and trustworthiness of products that include AI. To this end, we examine four international AI product certification programs and suggest methods for improving and promoting these programs. The certification programs target AI products produced for specific purposes such as autonomous intelligence systems and facial recognition technology, or extend a conventional software quality certification based on the ISO/IEC 25000 standard. The results of our analysis show that companies aim to strategically differentiate their products in the market by ensuring the quality and trustworthiness of AI technologies. Additionally, we propose methods to improve and promote the certification programs based on the results. These findings provide new knowledge and insights that contribute to the development of AI-based product certification programs.

• The korean journal of orthodontics
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• v.53 no.2
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• pp.99-105
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• 2023

Objective: The study aimed to evaluate the changes in mandibular width after sagittal split ramus osteotomy (SSRO) in patients with mandibular asymmetric prognathism using cone-beam computed tomography (CBCT). Methods: Seventy patients who underwent SSRO for mandibular setback surgery were included in two groups, symmetric (n = 35) and asymmetric (n = 35), which were divided according to the differences in their right and left setback amounts. The mandibular width was evaluated three-dimensionally using CBCT images taken immediately before surgery (T1), 3 days after surgery (T2), and 6 months after surgery (T3). Repeated measures analysis of variance was applied to verify the differences in mandibular width statistically. Results: Both groups showed a significant increase in the mandibular width at T2, followed by a significant decrease at T3. No significant difference was observed between T1 and T3 in any of the measurements. No significant differences were found between the two groups (p > 0.05). Conclusions: After mandibular asymmetric setback surgery using SSRO, the mandibular width increased immediately but returned to its original width 6 months after surgery.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.510-512
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• 2023

In order to enhance a model's capability for detecting facial expressions, this research suggests a pipeline that makes use of the GradCAM component. The patching module and the pseudo-labeling module make up the pipeline. The patching component takes the original face image and divides it into four equal parts. These parts are then each input into a 2Dconvolutional layer to produce a feature vector. Each picture segment is assigned a weight token using GradCAM in the pseudo-labeling module, and this token is then merged with the feature vector using principal component analysis. A convolutional neural network based on transfer learning technique is then utilized to extract the deep features. This technique applied on a public dataset MMI and achieved a validation accuracy of 96.06% which is showing the effectiveness of our method.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.287-293
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• 2023

With the rapid development of domestic and international over-the-top markets, a large amount of video content is being created. As the volume of video content increases, consumers tend to increasingly check data concerning the videos before watching them. To address this demand, video summaries in the form of plot descriptions, thumbnails, posters, and other formats are provided to consumers. This study proposes an approach that automatically generates posters to effectively convey video content while reducing the cost of video summarization. In the automatic generation of posters, face recognition and clustering are used to gather and classify character data, and keyframes from the video are extracted to learn the overall atmosphere of the video. This study used the facial data of the characters and keyframes as training data and employed technologies such as DreamBooth, a text-to-image generation model, to automatically generate video posters. This process significantly reduces the time and cost of video-poster production.

• Journal of Information Processing Systems
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• v.19 no.6
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• pp.767-777
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• 2023

In modern society, user privacy is emerging as an important issue as closed-circuit television (CCTV) systems increase rapidly in various public and private spaces. If CCTV cameras monitor sensitive areas or personal spaces, they can infringe on personal privacy. Someone's behavior patterns, sensitive information, residence, etc. can be exposed, and if the image data collected from CCTV is not properly protected, there can be a risk of data leakage by hackers or illegal accessors. This paper presents an innovative approach to "machine learning based reversible chaotic masking method for user privacy protection in CCTV environment." The proposed method was developed to protect an individual's identity within CCTV images while maintaining the usefulness of the data for surveillance and analysis purposes. This method utilizes a two-step process for user privacy. First, machine learning models are trained to accurately detect and locate human subjects within the CCTV frame. This model is designed to identify individuals accurately and robustly by leveraging state-of-the-art object detection techniques. When an individual is detected, reversible chaos masking technology is applied. This masking technique uses chaos maps to create complex patterns to hide individual facial features and identifiable characteristics. Above all, the generated mask can be reversibly applied and removed, allowing authorized users to access the original unmasking image.

• The Research Journal of the Costume Culture
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• v.32 no.1
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• pp.17-37
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• 2024

This study examines the rise of the Body Positive Movement on TikTok and its role as a form of online content activism influencing the fashion design and industry. Through a combination of literature review and case study methodology, the study explores the expression techniques and thematic types of Body Positive Movement on TikTok. Reviews of literature, previous studies, online articles, fashion journals, and relevant search terms on TikTok informed a definition of Body Positive Movement and an analysis of its formation and rise. The research findings confirm the impact TikTok content on Body Positive Movement has on the fashion industry in addressing external factors (i.e., 'Appearance', 'Race', 'Aging', 'Physical Disability') and intrinsic factors (i.e., 'Acceptance of Diversity', 'Self-Esteem', 'Rejection of Stereotypes', 'Appropriate Representation', 'Information Provision'). The key external factor , 'Appearance', includes subcategories such as 'Body Shape', 'Body Hair', 'Skin', and 'Facial Features'. TikTok content creators on fashion creatively combine music, emojis, and visual storytelling to exhibit positive self-perception concerning these factors. A significant finding of the study is that short clips predominantly manifesting external factors differentiate into informative or enlightening videos associated with intrinsic factors. The study underscores Body Positive Movement's important influence on the fashion industry from design to presentation.