• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.5
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• pp.67-73
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• 2010

Relatively high density of population and buildings exists in urban area mainly because of broad job opportunities and conveniences available. In other words, if happened, there might be high possibility of disaster which can not be easily recovered. The purpose of this study is to show evaluation approach of the risk degree resulted from the disaster, which considers the attributes of urban area. Cheongju-city in Chungcheongbuk-do is selected as sample district to be estimated. The degree of overall risk including fire risk, building collapse risk, evacuation risk and gas explosion risk etc. is analyzed in the designated area. The analysis suggests the highest risk degree in Bukmun-ro district which also shows CBD decline phenomenon. Therefore, it can be not only predicted that this area as old downtown has not been provided with disaster prevention operation and urban renewal project, but also judged that administrative assistances for the disaster are required possibly soon.

• Journal of The Korean Association of Information Education
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• v.24 no.3
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• pp.243-254
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• 2020

In order to cultivate AI(artificial intelligence) manpower, major countries are making efforts to apply AI education from elementary school. In order to introduce AI education in elementary school, it is necessary to have a curriculum and educational content for elementary school level. This study developed educational contents to experience the principle of AI learning at the unplugged level for the purpose of AI education for elementary school students. The educational content developed was selected as an AI that evaluates the emotion of sentences. In addition, to solve the problem, data attributes were derived and collected, and the process of AI learning was simulated to solve the problem. As a result of the study, the attitude of elementary school students to AI increased post than before. In addition, the task performance rate was averaged at 85%, showing that the proposed AI education content has educational significance.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.67-82
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• 2013

Railway is paid attention as a means of environment-friendly transportation and logistics. Efforts to enhance the competitiveness by IT convergence, for railway vehicle market share of the world, has been promoted. This study proposes a technology development plan of railway IT convergence. We analyzed the results of legacy researches and technology patents related with railway IT convergence and derived the target tasks in accordance with our technologies classification. By adopting the multi-attributes utility theory methodology and using survey of experts, we selected the core research issues. The result of this study could help policy making and R&D planning about railway IT convergence.

• The Research Journal of the Costume Culture
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• v.18 no.3
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• pp.423-435
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• 2010

The purpose of this study was to observe the current consumption of bedding products, purchase behavior, and to compare between purchase criteria and degree of satisfaction after the purchase. Independent variables are age, consumer's knowledge and involvement about the bedding materials. This study can contribute for bedding product marketing strategies and design development. We used questionnaires that were distributed to 500 females aged in 20s to 50s, using stratified sampling method. Only 457 reliable questionnaires were selected for statistical analysis. Data were analyzed statistically through frequencies, paired t-test, ANOVA, Dunnett T3, Chi-test, using SPSS (Version 12.0). The results of this study are as follows. The types of bedroom was significantly associated with age variables. Women in 20's to 30's were using the mixture of Ondol and bed(chimdaie), while 40's to 50's women were using bed for all their rooms. The usage of filling material for the comforter(ibul) was significantly associated with the age group. 20's to 30's age group preferred synthetic fibers for the filling, while 40 to 50's women preferred cotton fibers. Generally, the most of people used quilted comforter and they used cotton material as filling materials of comforters. As to purchase behavior, the most frequent place of purchase was specialty store of bedding products, and the highest percentage of motivation for purchase was "deformation after the use/throwing away". Purchase motivation for bedding was related with the age variable and the clusters based on the knowledge of bedding materials. We analysed the comparison test purchase criteria and satisfaction. In all attributes except brand image, people evaluated lower in satisfaction after purchase than in criteria before purchase.

• Journal of the Korean Society of Tobacco Science
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• v.22 no.2
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• pp.184-189
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• 2000

This study was conducted to develop the objective evaluation method for tobacco smoke. The evaluation was carried out by using the data of cut or blended tobacco components, smoke components, electric nose system (ENS), and sensory test. By using the statistical methods, such as cluster analysis, discriminant analysis, factor analysis, correlation analysis, and multiple regression analysis, the relationship among the data of tobacco, smoke, ENS, and sensory evaluation was studied. By the results of cluster analysis, the data from smoke analysis by GC and ENS were able to select the difference of tobacco leaf characteristics. As the results of discriminant analysis, grouping by the components of tobacco leaves and smoke was possible and the results of GC analysis of smoke could be used for discrimination of tobacco leaves. In the results of factor analysis, nicotine, tar, CO, puff No and pH in the smoke were the factors effecting on the tobacco leaf characteristics. From the correlation analysis, aroma, taste, irritation, and smoke volume of sensory test had high relation to tar, p-cresol threonolatone, levoglucosane, and quinic acid- ${\gamma}$ -lactone of smoke. The ENS data showed high efficiency for discriminant analysis and cluster analysis, but it was not good for factor analysis, and correlation analysis. It was possible to estimate tobacco leaves and their blending characteristics by the analytical data of tobacco leaves, smoke, ENS, and sensory test results. By the multiple regression analysis, some correlation among selected chemical components and sensory evaluation were found. This study strongly indicated that the some chemical analysis data was available for the objective evaluation of tobacco sensory attributes.

• Journal of the Korean Society of Costume
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• v.44
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• pp.201-213
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• 1999

In this study, an attempt was made to classify the new generation by the conciousness of fashion and to make out positioning map, for brands of which each of the classified groups were aware. It's also intended to show a strategy brand marketing strategy by comparing the attribues that they considered important. The subjects of this study were gatheres into stratified sample groups from women whose age were ranged from 18 to 24 in Taejon. The subject brands of this study were Nice Claup. Y'sb. SYSTEM. i.n.v.u. On & On. EnC. ZOOC and Tomboy. which were selected because of high awareness. The results of this study were as below: 1. The new generation was grouped into a individuality-oriented group and an utility-oriented group. 2. As a result of analyzing brand image similarity, it's found that each group perceived the similarity differently. The individuality-oriented group perceived brand differentially more than the utility-oriented group. 3. concerning brand image preference, the individuality-oriented group preferred EnC most in light of self-expression and fashion, and preferred ZOOC most in view of utility. What was most preferred by the utility-oriented group was EnC in view of fashion and quality and ZOOC in the aspect of fashion, quality, price and design. 4. Regarding satisfaction level at brand image attributes, both of the groups showed satisfaction at On & On and Y'sb in light of self-expression. The individuality-oriented group was contented with SYSTEM's price and Nice Claup's utility and quality. 5. As a result of analyzing the groups' demographic variables, age and monthly mean income made a significant difference.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.301-310
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• 2017

The purpose of the study is to examine the effects of acculturative stress, ego-resilience, and gender role attitude of married migrant women on their marital satisfaction. For the study, a pre-survey was conducted in November 2015 and based on the result, the data collected in this survey over January 2016 through March 2016 was used. SPSS Win 21.0 program was utilized to proceed the analysis for the attributes of variables in marital satisfaction, correlation among variables, and hierarchical regression analysis. 274 subjects around the Multicultural Center users in Geonggi-do were selected as research targets and drew a conclusion as the following results. First, it showed that acculturative stress of married migrant women left a negative effect on the marital satisfaction and had the highest effect on it among the independent variables. Second, both ego-resilience and gender role attitudes influenced positively on the marital satisfaction of married migrant women. The need for program development to reduce acculturative stress and enhance ego-resilience was discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.5
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• pp.217-228
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• 2011

In centralize CDN systems, the content server selection is performed by service node for every user request, and the selected node is notified to the user. In this paper, we present distributed CDN architecture and algorithm in which the request from a user is delivered to the content source by a P2P algorithm utilizing DHT(distributed hash table) through the overlay network and the user selects one of the source nodes based on real-time user-centric criteria. For this purpose, we propose a modified Pastry algorithm for contents registration, search and selection, in addition to the distributed architecture. The proposed architecture has the advantages of load balancing, traffic balancing, scalability, fault-tolerance due to the self-configuration, self-healing attributes of distributed architecture. Various simulation shows the feasibility of the proposed architecture and algorithm, and the performance is compared and discussed for the variations of the proposed scheme.

• Journal of the Korean Geographical Society
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• v.43 no.4
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• pp.511-525
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• 2008

Residential segregation is often considered to be one of the social problems that intensify urban inequality This study reviews three different frameworks about the causes of residential segregation and tests their validity in the real world. The review focuses on racial/ethnic residential segregation in U.S. cities since it has been blamed for persistent socio-economic gap among racial/ethnic groups. The three different segregation frameworks include 'spatial assimilation' that attributes segregation to low degree of assimilation and acculturation, 'place stratification' to discriminatory practices in the housing and mortgage markets such as steering, blockbusting, and redlining, and 'resurgent ethnicity' to racial/ethnic preference in residential choice, particularly in-group attraction. As an effort to test their validity, the paper examined residential pattern changes of the four major Asian nationality groups through 1990s and found that their residences got decentralized but re-cluster in some selected suburbs. This supports 'resurgent ethnicity' largely and 'spatial assimilation' only partly.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.1
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• pp.381-385
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• 2015

Background:Hepatocellular carcinoma (HCC) is the second most common malignancy in Egypt. Data mining is a method of predictive analysis which can explore tremendous volumes of information to discover hidden patterns and relationships. Our aim here was to develop a non-invasive algorithm for prediction of HCC. Such an algorithm should be economical, reliable, easy to apply and acceptable by domain experts. Methods: This cross-sectional study enrolled 315 patients with hepatitis C virus (HCV) related chronic liver disease (CLD); 135 HCC, 116 cirrhotic patients without HCC and 64 patients with chronic hepatitis C. Using data mining analysis, we constructed a decision tree learning algorithm to predict HCC. Results: The decision tree algorithm was able to predict HCC with recall (sensitivity) of 83.5% and precession (specificity) of 83.3% using only routine data. The correctly classified instances were 259 (82.2%), and the incorrectly classified instances were 56 (17.8%). Out of 29 attributes, serum alpha fetoprotein (AFP), with an optimal cutoff value of ${\geq}50.3ng/ml$ was selected as the best predictor of HCC. To a lesser extent, male sex, presence of cirrhosis, AST>64U/L, and ascites were variables associated with HCC. Conclusion: Data mining analysis allows discovery of hidden patterns and enables the development of models to predict HCC, utilizing routine data as an alternative to CT and liver biopsy. This study has highlighted a new cutoff for AFP (${\geq}50.3ng/ml$). Presence of a score of >2 risk variables (out of 5) can successfully predict HCC with a sensitivity of 96% and specificity of 82%.