• Journal of Dental Rehabilitation and Applied Science
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• v.35 no.3
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• pp.123-131
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• 2019

Burning mouth syndrome (BMS) is defined as the xerostomia, burning sensation and various discomfort of tongue and oral mucosa. BMS can occur in both men and women, but is more frequent in middle-aged menopausal women. Because exact cause can't be identified clearly and it is hard to make diagnosis in clinic, the purpose of the treatment have been to relieve symptoms. Etiology of BMS is divided into local, systemic, and psychological factors. ${\alpha}$-lipoic acid, clonazepam, supplemental therapy and cognitive behavior therapy can be prescribed for BMS. Nowdays, many experts focus attention on effect of combination therapy. It is necessary to solve the symptoms of the patients by combination of pharmacological approach and psychotherapy with cognitive behavior therapy considering the factors in various aspects.

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.175-179
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• 2019

1년에도 수십 수백 개씩 스타트업이 생겨나고 있다. 아마도 모두 미래의 구글과 페이스북, 그리고 아마존이 되길 희망하며 하루하루 가열차게 달리고 있다. 하지만 그 많은 스타트업 중 소위 성공했다 불릴 수 있는 기업은 손에 꼽는다. 능력 있는 창업가, 기발한 사업 모델과 아이디어 그리고 이를 뒷받침해 줄 기술력과 자본이 있다고 성공할 수 없다. 스타트업 기업을 굴러가게 하는 힘은 결국 그 조직의 구성원에게서 나오기에 성공한 스타트업에겐 모두 그들 만의 '조직문화'가 있다. 그게 모두에게 좋은 문화일 필요는 없을 것이다. 그 조직에 가장 접합한, 그래서 구성원의 구성원의 공감대를 사 '일하고 싶은 회사'가 될 수 있게 하는 '조직 문화'가 있는 스타트업이 수많은 인재를 모아 성장을 거듭해 올 수 있었고 그것이 결국 스타트업을 성공으로 이끌었던 것이다. 이런 조직 문화는 회사 초창기에 세팅할수록 해당 기업의 성공 확률도 높아진다. 7년 미만의 초기 스타트업 기업을 대상으로 조직문화 유형이 스타트업 구성원의 조직 몰입과 조직성과에 어떠한 영향을 주는지에 대한 실증분석을 목적으로 하였다. 초기 스타트업 기업의 조직문화 차원은 경쟁가치모형의 혁신문화와 위계문화로 구분하였으며, 조직성과는 스타트업의 서비스, 제품을 경험한 이용자들의 서비스 만족도를 활용하였다. 조직문화는 외부환경에 대한 적응과 조직내부 통합의 문제를 해결하기 위하여 구성원들에 의해 창조 발전되어 학습되는 기본가정으로서 스타트업 구성원들에 의해 공유된 가치(values), 신념(beliefs), 규범(norms)의 체계로 정의한다. 따라서 어떠한 조직문화를 갖는냐에 따라 조직 구성원의 몰입, 충성심, 직무동기, 직무성과는 물론 조직성과와 혁신을 포함하는 여러 조직 요인도 직 갑적인 영향을 받는다. 7년 미만의 초기 스타트업 혁신문화가 스타트업 구성원의 조직몰입에 긍정적인 영향을 미치며, 조직몰입이 스타트업 서비스, 제품을 경험한 이용자들의 서비스 만족도에도 긍정적인 효과가 있는 것으로 나타났다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1317-1322
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• 2021

Nonlocal similarity of natural images leads to the fact that a patch matrix whose columns are similar patches of the reference patch has a low rank. Images corrupted by additive white Gaussian noises (AWGN) make their patch matrices to have a higher rank. The noise in the image can be reduced by obtaining low rank approximation of the patch matrices. In this paper, an image denoising algorithm is proposed, which first constructs the patch matrices by combining the similar patches of each reference patch, which is a part of the noisy image. For each patch matrix, the proposed algorithm calculates its low rank approximate, and then recovers the original image by aggregating the low rank estimates. The simulation results using widely accepted test images show that the proposed denoising algorithm outperforms four recent methods.

• Journal of Legislation Research
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• no.54
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• pp.39-69
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• 2018

In $j{\ddot{u}}ngster$ Zeit wird eine Fiktion im Verwaltungsrecht als essentielles Instrument $f{\ddot{u}}r$ Deregulierung sowie Verwaltungsvereinfachung mehr und mehr ins Feld $gef{\ddot{u}}hrt$ und ihre Erweiterung gefordert, weil sie in der Regel auf das Zeitsparen durch Verfahrenswegfall zielt. In Deutschland $erh{\ddot{o}}hte$ sich eine Bedeutung der Genehmigungsfiktion, indem sie durch 4.Novelle des VwVfG, die bei der Umsetzung der Richtlinie 2006/123/EG $ben{\ddot{o}}tigt$ wurde, als ein allgemeines verwaltungsrechtliches Rechtsinstitut eingeordnet wird. In Korea gibt es $vielf{\ddot{a}}ltige$ Fiktionsmethode, $w{\ddot{a}}hrend$ im deutschen Recht die Fiktion lediglich darin besteh, nach Ablauf der festgesetzten Frist die Entscheidung bzw. den Verwaltungsakt anzunehmen. Die systematische und logische Festsetzung der Fiktionslehre in Korea ist erforderlich. Deshalb wird eine allgemeine Regel zur Fiktion durch eine Kodifikation des allgemeinen Verwaltungsgesetzes, wie VwVfG, gefordert.

• Women's Health Nursing
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• v.26 no.4
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• pp.318-325
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• 2020

Purpose: The purpose of this study was to identify the influence of self-differentiation, psychological discomfort, and marital dyadic adjustment on maternal-fetal attachment in primigravida. Methods: In total, 108 primigravida participated in this descriptive correlational study. The participants answered self-report questionnaires. Data were collected from January to May, 2020, and were analyzed using descriptive statistics, the t-test, analysis of variance, Pearson correlation coefficients, and hierarchical multiple regression with SPSS for Windows ver. 23.0. Results: The mean age of the primigravida was 31.66 years. The mean score for the degree of maternal-fetal attachment was 76.81 out of 96 points. Participants' scores for maternal-fetal attachment differed significantly based on age (t=2.08 p=.039) and marital status (t=2.05, p=.043). Maternal-fetal attachment was significantly negatively correlated with psychological discomfort (r=-.39, p<.001), and significantly positively correlated with self-differentiation (r=.36, p<.001) and marital dyadic adjustment (r=.36, p<.001). Self-differentiation explained 24.1% of variance in participants' maternal-fetal attachment, and its effect was statistically significant (F=7.79, p<.001). Conclusion: In primigravida, more self-differentiation was associated with stronger maternal-fetal attachment. To strengthen maternal-fetal attachment in primigravidae, educational program that increases the level of self-differentiation and minimizes psychological discomfort may be helpful for first time pregnant women. Additionally, it is recommended to provide nursing interventions to encourage couples to work together throughout the gestational period.

• Journal of Korean Public Health Nursing
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• v.35 no.2
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• pp.211-223
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• 2021

Purpose: The purpose of this study was to understand the reconstruction experience of mothers who had recently experienced a late-school age daughter's menarche by utilizing a hermeneutic phenomenological research methodology based on Parse's human becoming theory. Data were collected using purposive and snowball sampling methods to recruit the mothers of elementary fifth- and sixth-grade girls recently experiencing menarche. The data were analyzed using Parse's research methodology. As a result, the mothers' experiences appeared as "the process of reconstructing the menarche-related values created by themselves by facing the child's menarche experiences and related responses along with the change of era." The key concepts of there construction experiences of the mothers were "experiencing an ambivalent feeling of pity and pride," "celebrating her instead of expressing concerns," "giving a traditional lesson of protecting oneself to a new generation," and "feeling empathy as a woman and also alienation due to the generational gap." These findings reveal the important roles and competencies of community and school nurses in terms of achieving a healthy and positive reconstruction experience for mothers and their daughters. Also, it is necessary to develop educational programs for mothers who are about to encounter their daughters' menarche.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.3
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• pp.343-372
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• 2021

The purpose of this study is to select keywords that can recommend books by personality type, and to test whether the chosen keywords can be actually used in the categorization and customized recommendation of books for each personality type. To achieve the research goal, this study chose books that match the level of fifth and sixth grade elementary school students and first grade middle school students and commissioned an expert group to categorize the books into groups that are preferred by each personality type. As a result of the classification, half of the books in which more than five experts agreed showed high consensus. In addition, the results of classifying books by personality type with keywords extracted by the automatic word extraction system by collecting the book review data of the selected books were similar to the results of the final judgement by the expert group, except for a few books. In conclusion, this study proved that it is possible to classify and recommend books that are likely to be preferred by different personality types using review keywords.

• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.37-45
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• 2022

It is very important to measure the displacement of a structure to evaluate the safety of the structure. This study shows a methodology to measure the displacement to determine the stability of a structure when it is damaged by loads. The methodology used Moiré's phenomenon and was verified through experiments. The experiments utilized pipes to simulate the pipe supports in the construction site and measured the vertical displacement of the Moiré interference patterns according to the horizontal displacement of the pipes. Experiments confirmed that the linear relationship between horizontal displacement of pipes and vertical displacement of Moiré patterns and derive a relational expression. In conclusion, the methodology presented in this work allows us to simultaneously measure a number of vertical members' displacements regardless of distance and determine the safety of the structure.

• Smart Media Journal
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• v.11 no.5
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• pp.56-62
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• 2022

Water reservoir is defined as a storage space to hold and supply filtered water and it's significantly important to manage water level in the water reservoir so as to stabilize water supply by controlling water supply depending on demand. Liquid level sensors have been installed in the water reservoir and the pumps in the booster station facilitated management for optimum water level in the water reservoir. But the incident responses including sensor malfunction and communication breakdown actually count on manager's inspection, which involves risk of accidents. To stabilize draining facility management, this study has come up with AI model that predicts changes in the water level in the water reservoir. Going through simulation in the case of missing data in the water level to verify stability in relation to the field application of the prediction model for water level changes in the reservoir, the comparison of actual change value and predicted value allows to test utility of the model.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.73-85
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• 2022

In the era of the 4th industrial revolution, where automation and connectivity are maximized with artificial intelligence, the importance of data collection and utilization for model update is increasing. In order to create a model using artificial intelligence technology, it is usually necessary to gather data in one place so that it can be updated, but this can infringe users' privacy. In this paper, we introduce federated learning, a distributed machine learning method that can update models in cooperation without directly sharing distributed stored data, and introduce a study to optimize distributed consensus among participants without an existing server. In addition, we propose a pattern and group-based distributed consensus optimization algorithm that uses an algorithm for generating patterns and groups based on the Kirkman Triple System, and performs parallel updates and communication. This algorithm guarantees more privacy than the existing distributed consensus optimization algorithm and reduces the communication time until the model converges.