• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.330-348
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• 2022

The purpose of this study is to derive useful theoretical and practical implications for the prevention and overcoming of burnout of visiting caregivers by conducting a qualitative case study researb on the burnout experience of visiting caregivers. To this end, we analyzed the context in which visiting caregivers experienced relationships with the elderly 65 years of age or older and their family carers for long-term care benefit service, and the dispatched home elderly welfare center. As a result, a total of 12 high-level categories were derived, Which were 'I fell into a suspicious person', 'Fallen self-esteem', 'Visiting caregiver activity I don't want to do anymore', 'Oppressed being', 'In a violent situation Exposure', 'Devaluated care worker', 'Work that is difficult to be recognized as a professional occupation', 'Labor where the boundaries of work are not clear', 'Disappointment with family guardians', 'Social awareness and effort that is not easy to improve', 'Poor treatment of dispatching agencies' and 'Distrust of dispatching agencies'.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.46-54
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• 2021

As the realization of the 4th industrial revolution is approaching, the paradigm of the corporate work environment is changing to digital, from the traditional work environment. In particular, technologies like RPA(robotic process automation) and chatbot reduce the need for human labor or task by automating simple repetitive tasks, enabling humans to focus on more valuable tasks. In this study, corporates operating expense management services in public cloud computing environments develop a cloud module that simplifies expense report management by grafting robotic process automation and chatbot technology. According to the result of the expert evaluation, the developed system marked 80.3% of satisfaction levels and the highest satisfaction level 94% was confirmed in terms of easy of use. Based on the research result, future research can be suggested to expand the works occurring inside and outside the company to a single RPA environment by additionally linking the work system related to expense management.

• Journal of Preventive Medicine and Public Health
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• v.55 no.6
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• pp.520-528
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• 2022

Objectives: Thiamine is thought to modify sleeping patterns, while alcohol use diminishes internal thiamine levels. We investigated the association between thiamine intake and sleep duration and explored possible heterogeneity in the effect according to alcohol use. Methods: In total, 15 384 participants aged 19-64 were obtained from the Korea National Health and Nutrition Examination Survey 2012-2016. Nutrient intake, including thiamine, was measured using a food frequency questionnaire. Sleep duration was measured by a self-reported questionnaire. The highest thiamine intake quartile was set as the reference group. Participants were divided into 3 groups, with 7-8 hours of daily sleep as a reference group and those who slept more or less than that as "oversleeping" and "insufficient sleeping," respectively. Multivariate logistic regression was used, adjusting for socioeconomic, medical, and nutritional factors. Additionally, participants were stratified according to high-risk alcohol use defined by the World Health Organization standards on alcohol use. Results: Low thiamine intake was associated with oversleeping (Q3: odds ratio [OR], 1.06; 95% confidence interval [CI], 0.86 to 1.32; Q2: OR, 1.24; 95% CI, 0.99 to 1.55; Q1: OR, 1.49; 95% CI, 1.16 to 1.91) and showed a significant trend for higher ORs at lower intake levels (p-trend<0.001). The effect was stronger in the high-risk alcohol use group (Q1: OR, 1.78; 95% CI, 1.28 to 2.49). Conclusions: Low thiamine intake was associated with oversleeping, and alcohol use intensified that association. These results were found in a context where overt clinical symptoms due to thiamine deficiency are considered rare. More awareness of the potential relationship of thiamine intake with oversleeping and its related risks should be considered.

• 지역과문화
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• v.7 no.4
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• pp.1-20
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• 2020

The purpose of this study is to find methods for building the community in poor residential environments. We analyze the public art project, "The Rose of Sharon Blooms," in Daejeon. To understand the project we interviewed artists, curators, local residents, and visitors, about three aspects of public art: visuality, speciality, and communication with citizens. These stakeholder interviews yielded valuable knowledge and insights: First, artworks created from the residents' recycled junk effectively harmonizes and unifies the citizens and their environment. Second, managing a gallery in the neighborhood symbolically values and explicates the public art project and thus enhanced the local identity. Third, public workshops in the neighborhood provide a venue for local citizens to communicate with visitors about the public arts, which eventually led to the welcoming atmosphere of the community. However, we found relatively little awareness of the need for partnership aspects among our interviewees, which suggests the importance of ongoing cooperation with other arts institutions and researchers to build vital cultural linkages and introduce varied art forms.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.2
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• pp.101-106
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• 2022

Recently, virtual human has been widely used in various fields such as education, training, information guide. In addition, it is expected to be applied to services that interact with remote users in metaverse. In this paper, we propose a novel method to make a virtual human' interaction to perceive the user's surroundings. We use the editing authoring tool to apply user's interaction for providing the virtual human's response. The virtual human can recognize users' situations based on fuzzy, present optimal response to users. With our interaction method by context awareness to address our paper, the virtual human can provide interaction suitable for the surrounding environment based on automatic adaptation.

• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.33-42
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• 2022

In the existing intelligent command control system study, the analysis results of the commander's battlefield situation questions are provided from knowledge-based situation data. Analysis reporters write these results in various expressions of natural language. However, it is important to analyze situations about information and intelligence according to context. Analyzing the battlefield situation using artificial intelligence is necessary. We propose a virtual dataset generation method based on battlefield simulation scenarios in order to provide a dataset necessary for the battlefield situation analysis based on artificial intelligence. Dataset is generated after identifying battlefield knowledge elements in scenarios. When a candidate hypothesis is created, a unit hypothesis is automatically created. By combining unit hypotheses, similar identification hypothesis combinations are generated. An aggregation hypothesis is generated by grouping candidate hypotheses. Dataset generator SW implementation demonstrates that the proposed method can be generated the virtual battlefield situation dataset.

• Journal of the Korea Society for Simulation
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• v.18 no.1
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• pp.27-34
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• 2009

Currently network users, especially the number of internet users, increase rapidly. Also, high quality of service is required and this requirement results a sudden network traffic increment. As a result, an efficient management system for huge network traffic becomes an important issue. Ontology/data engineering based context awareness using the System Entity Structure (SES) concepts enables network administrators to access traffic data easily and efficiently. The network traffic analysis system, which is studied in this paper, is designed and implemented based on a model and simulation using data engineering methodology to be avaiable in evaluating large network traffic data. Extensible Markup Language (XML) is used for metadata language in this system. The information which is extracted from the network traffic analysis system could be modeled and simulated in Discrete Event Simulation (DEVS) methodology for further works such as post simulation evaluation, web services, and etc.

• Asia Marketing Journal
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• v.17 no.4
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• pp.63-88
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• 2016

K-Pop is hugely promoted offline/online in East Asia, while efforts to promote it elsewhere are kept to a minimum. Whilst addressing the role of digital marketing in the promotion of K-Pop in the Brazilian music industry this study aims to demonstrate that K-pop will provide its audience with a unique and engaging experience if it thinks globally and acts locally in its marketing and communication strategies. A survey of K-Pop's world fan base was carried out online with 1,074 fans to determine the validity of the hypothesis. The results have demonstrated the need to adapt global and intercultural strategies to local markets with increasing brand awareness through utilizing digital marketing. For example, to increase K-Pop's popularity and market share in Brazil, it is not required to sing in Brazilian Portuguese, contrary to what might be perceived but fully singing in English would help breaking into the market dominated by domestic music as songs would have a higher probability to be included in the international soundtrack of a Brazilian telenovela and promote the K-Pop artist not only across Brazil but also give the artist exposure in all the markets the Brazilian telenovela is exported to, opening an entry door to those markets. K-Pop audience segmentation and psychographic profiling is crucial to the understanding of each market's consumer's preferences, likes, dislikes and their buying habits as it was proven through Brazil's digital media, social media, digital music market and K-Pop market analysis within the global context of the study. It should be also considered that brand extensions are not standard everywhere and that there are cultures where different product categories are not directly associated with its main corporate owner which requires extensive local market knowledge to succeed. The primary and secondary data research that we conducted for this study intended to demonstrate that K-Pop can be successful in Brazil and in Latin America and increase their local and regional market share if digital marketing and communication strategies are tailored to each individual market.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1031-1034
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• 2011

헬스케어에서의 상황정보는 사용자와 관련된 정보를 추론하여 질 높은 서비스를 제공하기 위해서 사용자가 필요로 하는 능동적이고 지능적인 서비스를 제공하여야 한다. 본 논문에서는 상황인식을 이용한 보건기상지수 모니터링 방법론을 제안한다. 체온, 기온, 조도, 습도, 자외선에 따른 건강지수를 사용자의 현재 위치에 따라 실시간으로 제공하기 위해서, GPS와 기상청의 RSS로부터 추출한 XML를 활용한다. 보건기상지수는 천식지수, 뇌졸중지수, 피부질환지수, 폐질환지수, 꽃가루농도지수, 도시고온지수의 요소에 따라 분석하여 모니터링한다. 상황정보 수집과 추론 과정을 통해 장치간의 유동성을 보장하는 환경에서 서비스를 지원하기 위한 도메인 상황정보를 구성한다. 이기종 디바이스의 유동성이 보장되는 환경에서 새로운 상황이 존재하면 추가된 상황정보의 서비스를 지원하기 위해서 Naive Bayes 분류자를 이용한다. 상황정보 수집, 상황인식 추론, 상황정보 모델링에 따른 새로운 상황 분류하는 방법론에 대해서 논리적 타당성과 유효성을 검증한다.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.335-343
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• 2019

Healthy living is an essential element of human happiness. Quality eating provides the basis for life, and the health of livestock, which provides meat and dairy products, has a direct impact on human health. In the case of calves, diarrhea is the cause of all diseases.In this paper, we use a sensor to measure calf 's biometric data to diagnose calf diarrhea. The collected biometric data is subjected to a preprocessing process for use as meaningful information. We measure calf birth history and calf biometrics. The ontology is constructed by inputting environmental information of housing and biochemistry, immunity, and measurement information of human body for disease management. We will build a knowledge base for predicting calf diarrhea by predicting calf diarrhea through logical reasoning. Predict diarrhea with the knowledge base on the name of the disease, cause, timing and symptoms of livestock diseases. These knowledge bases can be expressed as domain ontologies for parent ontology and prediction, and as a result, treatment and prevention methods can be suggested.