• Archives of Craniofacial Surgery
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• v.23 no.6
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• pp.256-261
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• 2022

Background: Treating panfacial fractures (PFFs) can be extremely difficult even for experienced surgeons. Although several authors have attempted to systemize the surgical approach, performing surgery by applying a unidirectional sequence is much more difficult in practice. The purpose of this study was to review the literature on PFF surgery sequence and to understand how different surgical specialists-plastic reconstructive surgery (PRS) and oral maxillofacial surgery (OMS)-chose sequence and review PFFs fixation sequence in clinical cases. Methods: The PubMed and Google Scholar databases were scoured for publications published up until May 2020. Data extracted from the studies using standard templates included fracture part, fixation sequence, originating specialist, and the countries. Bibliographic details like author and year of publication were also extracted. Also, we reviewed the data for PFFs patients in the Trauma Registry System of Dankook University Hospital from 2011 to 2021. Results: In total, 240 articles were identified. This study comprised 22 studies after screening and full-text analysis. Sixteen studies (12 OMS specialists and 4 PRS specialists) used a "bottom-top" approach, whereas three studies (1 OMS specialist and 2 PRS specialists) used a "top-bottom" method. However, three studies (only OMS specialists) reported on both sequences. In our hospital, there were a total of 124 patients with PFF who were treated during 2011 to 2021; 64 (51.6%) were in upper-middle parts, 52 (41.9%) were in mid-lower parts, and eight (6.5%) were in three parts. Conclusion: Bottom-top sequencing was mainly used in OMS specialists, and top-bottom sequencing was used at a similar rate by two specialists in literature review. In our experience, however, it was hard to consistently implement unidirectional sequence suggested by a literature review. We realigned the reliable and stable buttresses first with tailoring individually for each patient, rather than proceeding in the unidirectional sequence like bottom-top or top-bottom.

• The Research Journal of the Costume Culture
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• v.31 no.2
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• pp.141-160
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• 2023

Controlling fashion waste throughout the entire product lifecycle is critical in a circular economy. This study explored the possibility of establishing a public recycling system for fashion waste. Since consumer interests and participation are essential, theoretical research, social-text analysis, and quantitative research were conducted to identify consumers' perceptions of the public recycling of fashion waste and circular fashion. Data were collected via an online survey among women in their 20-30's living in Korea, and 304 samples were used for data analysis. The results were as follows. First, consumers' perceptions of recycling fashion waste were composed of recycling difficulty, the need for public recycling, and the need for EPR. Circular fashion perception comprised favor, environment protection, attractiveness, economics, quality and hygiene risks, and lack of diversity. Second, the reuse-recycle attitude and need for EPR affected the favor of all types of circular fashion products. Third, environmental concerns impacted attractiveness, and the favor significantly affected the purchase intention of all types of circular fashion products. In particular, quality and hygiene risk negatively affected the purchase intention of used-fashion products, while attractiveness positively impacted the purchase intention of upcycled-fashion products. The results implied that discussing the public recycling system of fashion waste and EPR policy is imperative. The results also showed the need to classify different types of circular fashion products, such as used, upcycled, and regenerated fashion items, to examine consumers' perceptions. In addition, the recycling of the fashion waste scale developed in this study could be used for further research.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.139-156
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• 2019

The purpose of this study was to provide a method to support customized weather and environmental information services for the successful operation of winter sporting events. First, individual in-depth interviews and surveys were conducted with athletes, coaching staffs and experts related to the competition for 10 different winter sports for analysis of their needs. We conducted face-to-face survey and survey considering the training schedule and situation of experts. The recorded voice file was converted into word text, and extracted the weather and environmental information elements embedded in the opinions of the research participants based on literature reviews and data. The findings are expected to provide basic data on the weather conditions required to support specialized weather information for future large winter sports events, including the PyeongChang Winter Olympics.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.

• Journal of the Korea Institute of Construction Safety
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• v.5 no.1
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• pp.1-8
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• 2023

The purpose of this study is to suggest a way to solve the excessive paperwork of safety managers in domestic construction sites, and to suggest a work efficiency plan that can shorten the time required to prevent safety accidents. First, a function to automatically generate a safety document and find the necessary data is applied using the RPA program. The second is document creation using mobile devices. After safety training, use the Moleil app to keep the training log. Third, to prevent omission of essential safety and health documents, the automatic warning function is activated according to the RPA submission time and sent to the person in charge by e-mail or text. Fourth, the function to find the latest data with high accuracy and speed through 'Google Cloud Search', a search function, was applied.

• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.55 no.8
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• pp.498-507
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• 2012

Background and Objectives We aimed to develop a Korean version of the velopharyngeal insufficiency (VPI) speech corpus system. Subjects and Method After developing a 3-channel simultaneous speech recording device capable of recording nasal/oral and normal compound speech separately, voice data were collected from VPI patients aged more than 10 years with/without the history of operation or prior speech therapy. This was compared to a control group for which VPI was simulated by using a french-3 nelaton tube inserted via both nostril through nasopharynx and pulling the soft palate anteriorly in varying degrees. The study consisted of three transcriptors: a speech therapist transcribed the voice file into text, a second transcriptor graded speech intelligibility and severity and the third tagged the types and onset times of misarticulation. The database were composed of three main tables regarding (1) speaker's demographics, (2) condition of the recording system and (3) transcripts. All of these were interfaced with the Praat voice analysis program, which enables the user to extract exact transcribed phrases for analysis. Results In the simulated VPI group, the higher the severity of VPI, the higher the nasalance score was obtained. In addition, we could verify the vocal energy that characterizes hypernasality and compensation in nasal/oral and compound sounds spoken by VPI patients as opposed to that characgerizes the normal control group. Conclusion With the Korean version of VPI speech corpus system, patients' common difficulties and speech tendencies in articulation can be objectively evaluated. Comparing these data with those of the normal voice, mispronunciation and dysarticulation of patients with VPI can be corrected.

• Design Convergence Study
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• v.15 no.1
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• pp.233-246
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• 2016

Mobile health industry has been combined with IT technology and is attracting attention. The health application has been developed to provide users a healthy life style. First of all, 5 mobile health applications were selected and reviewed in terms of their service trend. It turned out that none of those applications had any emotional data but physical one. Secondly, to extract users' emotion, technological researches were sorted into different categories. And the result implied that text-based emotion recognition technology is the most suitable for the mobile health service. To implement the service, the application was designed and developed the process of emotion recognition system based on the contents of the research. One-dimension emotion model, which is the standard of classifying emotional data and social network service, was set up as a source. In last, to suggest the usage of health application has been combined with persuasive technology. As a result, this paper prospered a overall service process, concrete service scheme and a guidelines containing 15 services in accordance with the five emotions and time. It is expected to become a direction for indicators considering a psychological individual context.

• Korea Science and Art Forum
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• v.34
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• pp.133-148
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• 2018

Korea's housing structure is predicted that one-person housing will be the most common type of housing in Korea. Therefore, this study intends to derive contents for designing a one-person housing space considering the life of a rapidly increasing one-person householder. For this purpose, this study objectively derives the social, economic and cultural influencing factors of one-person households through big data analysis, and analyzed the correlation between contents using social network analysis methodology. In this paper, 60 core contents related to one person housing space were derived by applying big data analysis methodology. And through social network analysis, the most influential contents were derived from the space editing and space composition categories. This means that the residential space is an important part of the design idea that can flexibly respond to changes in the user's life. Based on this study, future research will focus on the concept and design methodology of one-person housing space.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.69-76
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for thesis analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected thesis, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.5
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• pp.347-354
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• 2023

In this study, virtual reality software was developed to support the generation of an analysis model of a Hanok and to increase the use of the completed analysis model. The structural analysis model of the Hanok was generated using midas Gen, a general-purpose structural analysis software. After converting it into a text-based input file, the developed software stores the data necessary for the examination of the analysis model. Then, in the developed virtual reality software, the three-dimensional analysis model of the Hanok can be visualized in various ways and the related data can be shown by selecting a specific member. Through this process, errors in the analysis model can be identified and corrected to build a complete analysis model. The developed software was applied to three Hanok cases to verify its applicability and effectiveness. The software is expected to be used in other fields besides the structural field.