• Steel and Composite Structures
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• v.25 no.1
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• pp.117-126
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• 2017

The component method is an analytical approach for investigating the moment-rotation relationship of steel connections. In this study, the component method was improved from two aspects: (i) load analysis of mechanical model; and (ii) combination of spring elements. An optimized component method with more reasonable component models, spring arrangement position, and boundary conditions was developed using finite element analysis. An experimental testing program in two major-axis and two minor-axis connections under symmetrically loading was carried out to verify this method. The initial rotational stiffness obtained from the optimized component method was consistent with the experimental results. It can be concluded that (i) The coupling stiffness between column and beam flanges significantly affects the effective height of the tensile-column web. (ii) The mechanical properties of the bending components were obtained using an equivalent t-stub model considering the bending capacity of bolts. (iii) Using the optimized mechanical components, the initial rotational stiffness was accurately calculated using the spring system. (iv) The characteristics of moment-rotation relationship for beam to column connections were effectively expressed by the SPRING element analysis model using ABAQUS. The calculations are simpler, and the results are accurate.

• Korean Journal of Oriental Medicine
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• v.17 no.3
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• pp.77-85
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• 2011

Objectives : The purpose of this study was to develop a simulator which can analyze the anti-inflammatory effects of medical herbs based on e-cell concerning p38 MAPK signal pathway. Methods : We collected data concerning medical herbs with anti-inflammatory effects and the active compounds to provide as a fundamental databse and to validate the newly developed algorithm. At this time, we used the target database as pubmed and gathered the data by data mining tool, pathway studio. Also we have developed the web-based search system for confirming database related to anti-inflammation. We researched the mechanism of actions of proteins in p38 MAPK signal pathway when active compound has been inserted into the network. We reduced total network into TAK-MKK3-p38 and made the two types of mathematical model about active compounds' interaction. Results & Conclusion : We constructed the database which have 69 cases of medical herbs, 71 cases of active compounds, about 8,000 cases of URL(Uniform Resource Locator) related to papers and reports. We designed the ordinary differential equations for response of TAK, MKK3, p38 in e-cell's cytosol and nucleus. We used this formular as measure whether an active compound of medicinal plants which is inputted by an user would have an anti-inflammation effects. We developed the visualization program which could show the change of concentration over time.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.7-20
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• 2010

This study aims to provide a method of extracting the most recent information on US patent documents. An HTML paring technique that can directly connect to the US Patent and Trademark Office (USPTO) Web page is adopted. After obtaining a list of 50 documents through a keyword searching method, this study suggested an algorithm, using HTML parsing techniques, which can extract a patent number, an applicant, and the US patent class information. The study also revealed an algorithm by which we can extract both patents and subsequent patents using their closely connected relationship, that is a very distinctive characteristic of US patent documents. Although the proposed method has several limitations, it can supplement existing databases effectively in terms of timeliness and comprehensiveness.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.