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The associated factors with subjective oral symptoms experience in obesity adolescent (비만 청소년의 주관적 구강증상경험 관련 요인)

  • Park, Sin-Young
    • Journal of Korean society of Dental Hygiene
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    • v.17 no.5
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    • pp.757-767
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    • 2017
  • Objectives: The purpose of this study is to identify the associated factors with subjective oral symptoms experience of obesity adolescents. Methods: The study subjects were targeting 8,139 obesity adolescents and 55,601 non-Obesity adolescents who completed 2016 Korean Youth Risk Behavior Web-based survey. Dependent variables were subjective oral symptoms experiences of fracture teeth, pain, throbbing pain, periodontal pain & bleeding, mucosal disease and bad breath. Independent variables were demographic characteristics of the subjects, oral health behaviors, health behaviors and eating habits. Results: Obesity adolescents were 12.8% with 61.9% subjective oral symptoms experience. Regarding the related factors of subjective oral symptoms experience of obesity adolescents, the factors were identified to be significantly higher in high school (OR=1.72) compared to middle school, learning achievement was higher in middle (OR=1.09) and lower (OR=1.31) compared to high, economic status was higher in lower (OR=1.09) compared to high, sealant experience (OR=1.10) and scaling experiences (OR=1.12) responded no were higher compared to responded yes, smoking experiences responded yes(OR=1.08) were higher compared to responded no, sweet drink (OR=1.14) and fastfood (OR=1.13) consumption were higher in consumption compared to non-consumption and females (OR=0.46) were higher than males. Oral symptoms experience were lower that father and mother's level of education were under high school graduation (OR=0.86) compared to unknown, economic status was in case of middle (OR=0.93) compared to high, tooth brushing was lower in under 1 time (OR=0.76), 2 times (OR=0.61) compared to more than 3 times, vigorous physical activities responded no (OR=0.75) were lower, compared to yes, vegetable consumption was lower in non-consumption (OR=0.68) compared to consumption. Conclusions: Subjective oral symptoms experiences were identified higher in obesity adolescents than non-obesity adolescents. It would be useful to use the results of this study to reduce oral symptoms and necessary to develop a program system considering characteristics of obesity adolescents.

On the Characteristics of the Colors in the Kitchens and Dining Rooms of the Cyber Model Houses in Korea - Focused on Medium Sized Units(99~165m2) Constructed in Seoul and Gyeonggi Province in the Late 2000s - (아파트 사이버 모델하우스 주방 및 식당의 사용 색채 특성 - 2000년대 후반 수도권 지역에 건설된 중규모 주호(99~165m2)를 대상으로 -)

  • Choi, Jin-Hee;Jeong, Yoo-Na
    • Korean Institute of Interior Design Journal
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    • v.21 no.5
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    • pp.85-97
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    • 2012
  • This study is aimed to identify the color characteristics of the current Korean Brand Apartment, focused on the color of kitchens and dining rooms in the cyber model houses. The Brands which were selected for this study ranked from first to fifth in the contractor ranking and now account for 64 percent of the apartments in sale in Seoul and Gyeonggi Province. In addition, the size between $99m^2$ and $165m^2$ were selected, because it was most preferred at the 2011 survey for user preference on the size of apartment. As this study is for the colors shown on the monintor, colors were extracted from the images of web site with L*, a*, b*. And then, they were converted to Munsell values through computer program, which values were used to identify the color characteristics of hue, tone and to apply the theory of Moon Spencer. The result of the study on the color characteristics of the kitchen and dining room of the five brands' apartments is as follows. Regarding the color use, most of the brands used Y and YR color while as the accent color, P, PB and G were used. This result of main color use for hue was same as the guideline by the literature review, but color for tone showed the difference between brands and the difference between sizes. Next, regarding the color combination, first ambiguity of color harmony was shown the most. And the larger the size was, the more the contrast of color harmony was shown. It means that the color tone had close relation with the sizes of households.

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An Improved Automatic Text Summarization Based on Lexical Chaining Using Semantical Word Relatedness (단어 간 의미적 연관성을 고려한 어휘 체인 기반의 개선된 자동 문서요약 방법)

  • Cha, Jun Seok;Kim, Jeong In;Kim, Jung Min
    • Smart Media Journal
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    • v.6 no.1
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    • pp.22-29
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    • 2017
  • Due to the rapid advancement and distribution of smart devices of late, document data on the Internet is on the sharp increase. The increment of information on the Web including a massive amount of documents makes it increasingly difficult for users to understand corresponding data. In order to efficiently summarize documents in the field of automated summary programs, various researches are under way. This study uses TextRank algorithm to efficiently summarize documents. TextRank algorithm expresses sentences or keywords in the form of a graph and understands the importance of sentences by using its vertices and edges to understand semantic relations between vocabulary and sentence. It extracts high-ranking keywords and based on keywords, it extracts important sentences. To extract important sentences, the algorithm first groups vocabulary. Grouping vocabulary is done using a scale of specific weight. The program sorts out sentences with higher scores on the weight scale, and based on selected sentences, it extracts important sentences to summarize the document. This study proved that this process confirmed an improved performance than summary methods shown in previous researches and that the algorithm can more efficiently summarize documents.

Correlation of toothbrushing and washing hands according to obesity in adolescents (청소년의 비만도에 따른 칫솔질 실천과 손씻기의 연관성 분석)

  • Kim, Sun-IL;NamKoong, Eun-Jung;Kim, Hye-Jin
    • The Journal of Korean Society for School & Community Health Education
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    • v.19 no.2
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    • pp.65-76
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    • 2018
  • Objectives: The purpose of this study was to investigate the hygiene behaviors according to obesity in adolescents and to provide basic data for school health project. Methods: The data from the 10th Korea Youth Risk Behavior Web-based Survey(KYRBWS) were analyzed by STATA 13.0 statistical packages. The demographic characteristics were analyzed by frequency analysis. The relationship between obesity and hygiene behaviors according to demographic characteristics were analyzed by chi-square test. Pearson's correlation coefficient was used for the correlation among the variables. Multivariate logistic regression analysis was performed to examine the effect of obesity on the hand washing and oral hygiene behaviors. The significance level for significance was set at 0.05. Results: Obesity, hand washing before eating and hand washing after using the bathroom were significant negative correlation. Hand washing before eating and hand washing after using the bathroom were significant positive correlation. Hand washing after using the bathroom were positive correlation with toothbrushing after lunch. Washing before eating was 1.079 times higher than that of obese people(p<0.05), and toothbrushing after lunch was higher by 1.298 times in Odds ratio than normal weight(p<0.001). Conclusions: There is a need to develop a school dental health program by collecting hygiene behaviors such as obesity, hand washing, and brushing after lunch.

An exploratory analysis of the web-based keywords of fashion brands using big-data - Focusing on their links to the brand's key marketing strategies - (패션 브랜드 연관 키워드 변화 추이에 관한 빅데이터 기반 탐색적 연구 - 브랜드별 주요 마케팅 전략과의 연계성을 중심으로 -)

  • Heo, Junseok;Lee, Eun-Jung
    • The Research Journal of the Costume Culture
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    • v.27 no.4
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    • pp.398-413
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    • 2019
  • This study empirically analyzed the influence of fashion brands' marketing issues on actual sales and consumer preference-focusing on evaluation trends of brands over time by using the theoretical background and big data provided through literature. This study examined the influence of three fashion brands (Balenciaga, Vetements, and Off-White) that have recently seen a drastic increase in the number of searched volumes through social networks. To identify the consumer-brand evaluations and trends and the marketing issues, the time period was divided into Groups A and B, which are from 2014 to 2015 and from 2016 to 2017, respectively. This study analyzed the frequency of overlapping keywords by using the R program to graphically visualize the changes over the timeline. Specifically, this analysis extracted data mainly related to bags, wallets and accessories for 2014-2015, but in 2016-2017, all four brands saw a vast increase in the frequency of searching product keywords related to clothing and footwear, and newly extracted ones were the top keywords. When analyzing the big data with these keywords as indicators, I confirmed that the products related to bags, wallets, and accessories were shifted to those related to apparel and footwear. Consumers previously recognized luxury brands such as Balenciaga as accessories-oriented brands that were focused on handbags and sunglasses, but now they are gaining popularity and recognition among consumers as a fashion brand.

Topic Modeling on Research Trends of Industry 4.0 Using Text Mining (텍스트 마이닝을 이용한 4차 산업 연구 동향 토픽 모델링)

  • Cho, Kyoung Won;Woo, Young Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.7
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    • pp.764-770
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    • 2019
  • In this research, text mining techniques were used to analyze the papers related to the "4th Industry". In order to analyze the papers, total of 685 papers were collected by searching with the keyword "4th industry" in Korea Journal Index(KCI) from 2016 to 2019. We used Python-based web scraping program to collect papers and use topic modeling techniques based on LDA algorithm implemented in R language for data analysis. As a result of perplexity analysis on the collected papers, nine topics were determined optimally and nine representative topics of the collected papers were extracted using the Gibbs sampling method. As a result, it was confirmed that artificial intelligence, big data, Internet of things(IoT), digital, network and so on have emerged as the major technologies, and it was confirmed that research has been conducted on the changes due to the major technologies in various fields related to the 4th industry such as industry, government, education field, and job.

Subjective Health Status, Mental Health and Internet Addiction Tendency of Adolescents in Multi-cultural Families Compared to General Families (일반가정과 다문화가정 청소년의 주관적 건강상태, 정신건강과 인터넷 중독 성향)

  • Chae, Myung-Ock
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.383-393
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    • 2018
  • The purpose of this study was to examine impact of multi-cultural family on subjective health status, mental health and internet addiction tendency compared to general family in Korean adolescent. The data were derived from the 13th Korea youth risk behavior web-based survey 2017 in Korea and analyzed considering complex samples analysis. The subjects were general families 61,320(98.5%) and multi-cultural families 956(1.5%). Multi-cultural youth had higher rates of unhealthy and unhappy and the percentage of depression, suicidal ideation, weekday and weekend smartphone overdependence, experience problems with using smartphone in friend than general youth. In addition, suicidal ideation 1.270 times, weekday and weekend smartphone overdependence 1.359 times and 1.297 times respectively and experience problems with using smartphone in friend 1.603 times was increased in multi-cultural youth compared to general youth. Therefore, it is very meaningful that this study provided basic data of intervention program to improve mental health and internet addiction tendency of multi-cultural youth.

Convergent Relations between Health Factors and Eating Behaviors and Oral Symptoms in Middle school students (중학생의 건강요인·식습관과 구강증상과의 융합적 관련성)

  • Kang, Hyun-Joo
    • Journal of the Korea Convergence Society
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    • v.9 no.12
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    • pp.89-98
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    • 2018
  • The purpose of this study was to analyze the effects of middle school students' health factors and eating behaviors on their oral symptoms using the data from 30,885 students in the 13th Korea Youth Risk Behavior Web-Based Survey in 2017. The logistic regression for the effects of the health factors and eating behaviors on the oral symptoms were analyzed using a logistic regression method. The results showed that the groups of higher levels of achievement, and stress, lower daily frequency of tooth-brushing, and no intake of processing meat led to significantly higher levels for toothache and gingival pain recognition. Also, the higher halitosis recognizers had significantly higher levels of stress and the lower daily frequency of tooth-brushing. In conclusion, adolescents' health factors and eating behaviors affected their oral symptoms. This study is expected to help development of a oral health education program that can prevent these oral symptoms.

A Research for Agentless Monitoring Application of Energy Consumption Analysis in a Data Center (데이터센터의 효율적인 에너지소비분석을 위한 에이전트리스 모니터링 애플리케이션에 관한 연구)

  • Lee, Yunho;Jung, Hyedong;Lim, Hojung;Kang, Jeonghoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.896-899
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    • 2016
  • Server management and power management are important to operate a data center stably and efficiently. By this paper, we introduce an web based application that is able to monitor and visualize energy consumption, help to energy consumption analysis of a data center due to provide server monitoring information such as temperatures for server, status of each device, power status using server management interfaces and power management modules in data center, also suggest the methods to implement them. This application takes advantage of IPMI which is server management standard interfaces and server management technology in manufacturer's individual way so it can do integrated monitoring for heterogeneous severs, and there is little monitoring load inside of server system because it doesn't need to install agent program for monitoring target system, and it can be used successfully to energy consumption analysis, server management in a data center due to realtime provided energy consumption and monitoring information.

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A Review of Open Modeling Platform Towards Integrated Water Environmental Management (통합 물환경 관리를 위한 개방형 모델링 플랫폼 고찰)

  • Lee, Sunghack;Shin, Changmin;Lee, Yongseok;Cho, Jaepil
    • Journal of Korean Society on Water Environment
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    • v.36 no.6
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    • pp.636-650
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    • 2020
  • A modeling system that can consider the overall water environment and be used to integrate hydrology, water quality, and aquatic ecosystem on a watershed scale is essential to support decision-making in integrated water resources management (IWRM). In adapting imported models for evaluating the unique water environment in Korea, a platform perspective is becoming increasingly important. In this study, a modeling platform is defined as an ecosystem that continuously grows and provides sustainable values through voluntary participation- and interaction-of all stakeholders- not only experts related to model development, but also model users and decision-makers. We assessed the conceptual values provided by the IWRM modeling platform in terms of openness, transparency, scalability, and sustainability. I We also reviewed the technical aspects of functional and spatial integrations in terms of socio-economic factors and user-centered multi-scale climate-forecast information. Based on those conceptual and technical aspects, we evaluated potential modeling platforms such as Source, FREEWAT, Object Modeling System (OMS), OpenMI, Community Surface-Dynamics Modeling System (CSDMS), and HydroShare. Among them, CSDMS most closely approached the values suggested in model development and offered a basic standard for easy integration of existing models using different program languages. HydroShare showed potential for sharing modeling results with the transparency expected by model user-s. Therefore, we believe that can be used as a reference in development of a modeling platform appropriate for managing the unique integrated water environment in Korea.