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A Study on Multi-frequency Keyword Visualization based on Co-occurrence (다중빈도 키워드 가시화에 관한 연구)

  • Lee, HyunChang;Shin, SeongYoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.424-425
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    • 2018
  • Recently, interest in data analysis has increased as the importance of big data becomes more important. Particularly, as social media data and academic research communities become more active and important, analysis becomes more important. In this study, co-word analysis was conducted through altmetrics articles collected from 2012 to 2017. In this way, the co-occurrence network map is derived from the keyword and the emphasized keyword is extracted.

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General Housing and Congregate Houses of Rural Elderly Households Residential Satisfaction Comparative Study (농촌 노인가구의 일반주택과 공동생활주택 주거만족도 비교 연구)

  • Lee, Chang-Woo
    • Journal of Korean Society of Rural Planning
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    • v.21 no.1
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    • pp.9-17
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    • 2015
  • The purpose of this study was to analyze the preferences for the physical features of senior congregate housing. The survey was conducted to target the elderly households living in senior congregate housing and general elderly households living in the rural. The results of this study were as follows. Showed that housing conditions are more important than environmental conditions, elderly households living in senior congregate housing. Among them was the most important house prices and rents. Also among the external factors such as environmental conditions is the distance to the workplace were very important. So the elderly households living in congregate housing showed that more important considering the economic aspects. Finally, want to be the foundation of sustainable housing policies for rural elderly households.

The Effects of Recognizing Listeners' Role in Korean Listening Comprehension (청자의 역할 인지가 한국어 듣기 이해에 미치는 영향)

  • Lee, Jeongdeok;Yim, Chaehun
    • Journal of Korean language education
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    • v.29 no.4
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    • pp.113-135
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    • 2018
  • This study is designed to find out how the recognition of the listener's role affects listening in Korean language learning. We assumed that recognizing the role of the listener can focus on important information. To confirm our assumption, we conducted an experiment on 37 Koreans and 32 KSLs. Koreans and KSLs were divided into two groups depending on whether or not they recognize the role of the listener. The results showed that Koreans and KSLs who recognized the role of the listener were better at listening to important information, and Koreans who recognized the role of the listener were better at judging important information. This study suggests that the role of listeners as context apply to Korean listening education.

The Examination of Direct and Indirect Transmission Processes of Intergenerational Marital Instability (결혼불안정성의 세대간의 직, 간접전이에 관한연구)

  • Peter Martin
    • Journal of Families and Better Life
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    • v.15 no.1
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    • pp.191-200
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    • 1997
  • The purpose of this research was to test a model of intergenerational transmission of marital instability. An important aspect of the present study was to test the direct and indiect intergenerational transmission processes of marital instability. This study revealed four very important findings. First the effects of parental divorce on children's marital instability were both direct and indirect through mate selection risk factors marital quality and marital commitment. Second premarital backgrounds such as socioeconomic status of parents and relative heterogeneity between spouse before marriage were important to explain one's marital relationship. Third the higher the barriers the higher the marital commitment. Fourth marital quality and marital commitment were important predictors of marital instability. Taken together this study supports the intergenerational transmission perspective that exposure to conflict marriage in one's own childhood would forecast lower marital sat sfaction higher conflict and higher marital instability in the marital relationship. The findings from this study also underline the importance of predisposing marital characteristics such as parental socioeconomic status and relative heterogeneity in explaining marital relationship.

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Comparison of Customers Perception of Feature and Smart Phone Users Mainly in 20s

  • Kim, Hyun-Jong
    • Journal of Digital Convergence
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    • v.9 no.1
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    • pp.115-124
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    • 2011
  • The property of the mobile phone is taking important role to choose it. In the present situation, exploring, comparing and analyzing the important properties of regular mobile phone(feature phone) and smart phone are very meaningful study. Therefore, the survey was carried out to get the properties of feature phone and smart phone and analyze the difference of those phones. And proposed the important variables for customer satisfaction which must be given priority. The result showed that 'design' and 'Quality' are important to both mobile phone user groups. The problems with mobile phones currently in use were 'poor performance' to feature phone users and 'expensive charge' and 'poor A/S' to smart phone users. Two groups also showed significant difference with the customer satisfactions, and smart phone user group showed higher satisfaction. For smart phone user group, four factors are induced from the properties but 'Hardware Quality' (representing 'call Quality', 'A/S', 'Convenience to use', 'Battery life') and 'Design & Function'(representing 'Internet', 'Convergence Functions', 'Design, 'Color') have significant and positive effects on Customer Satisfaction.

Feature selection in the semivarying coefficient LS-SVR

  • Hwang, Changha;Shim, Jooyong
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.2
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    • pp.461-471
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    • 2017
  • In this paper we propose a feature selection method identifying important features in the semivarying coefficient model. One important issue in semivarying coefficient model is how to estimate the parametric and nonparametric components. Another issue is how to identify important features in the varying and the constant effects. We propose a feature selection method able to address this issue using generalized cross validation functions of the varying coefficient least squares support vector regression (LS-SVR) and the linear LS-SVR. Numerical studies indicate that the proposed method is quite effective in identifying important features in the varying and the constant effects in the semivarying coefficient model.

A Study on the Eating Out Behavior of Residents in the Seoul Area (서울지역 거주자의 외식행동에 관한 연구)

  • 남궁석
    • Journal of the East Asian Society of Dietary Life
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    • v.5 no.1
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    • pp.75-86
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    • 1995
  • This study was undertaken to provide useful information to restaurant managers by analyzing eating out behavior and the diverse needs and wants of the people residing in the Seoul area. four hundred twenty-seven(427) people were sampled for this study and classified into three groups : housewives, salarymen and college students. The results of this study are as follows : (10 Among the groups, there were significant differences in general eating out behavior such as 'frequency' 'preferred food style' and 'who pays the check' among others. (2) The study showed housewives listing 'special occasion' as 'taking care of meal' (3) All groups considered 'price' as especially important. (4) When selecting a menu item, taste was considered most important by all groups. Housewives showed nutritional value to be important while salarymen chose the same item as companions an college students showed 'portions' and 'price' to be important. (5) degree of satisfaction of restaurants were found to be low with items such as ' price'. 'range of menu choices' and 'courteousness of employees' being relatively low.

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Variable selection in censored kernel regression

  • Choi, Kook-Lyeol;Shim, Jooyong
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.1
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    • pp.201-209
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    • 2013
  • For censored regression, it is often the case that some input variables are not important, while some input variables are more important than others. We propose a novel algorithm for selecting such important input variables for censored kernel regression, which is based on the penalized regression with the weighted quadratic loss function for the censored data, where the weight is computed from the empirical survival function of the censoring variable. We employ the weighted version of ANOVA decomposition kernels to choose optimal subset of important input variables. Experimental results are then presented which indicate the performance of the proposed variable selection method.

A Study on Evaluation Criteria for Infrastructure Importance regarding Earthquake (공공시설물 지진대응을 위한 중요도 평가기준에 관한 연구)

  • Park, Jae-woo;Kim, Seok
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.6
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    • pp.317-327
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    • 2018
  • The perception of earthquake in Korea has changed due to the earthquake that occurred in Gyeongju and Pohang, and the earthquake has become an important factor in infrastructure management. Damage to infrastructures in the event of an earthquake is extensive. In particular, damage to infrastructures that perform public function used to spread to the whole area. From the point of view of earthquake disaster prevention, it is very important for the public to define what infrastructures are important management targets and to prepare a countermeasure. In this study, we propose a method to evaluate the importance of infrastructure to effectively manage infrastructures for earthquakes. For this purpose, important factors for the railway bridges, power generation and electric power facilities, and apartment complexes are suggested. AHP analysis is conducted to suggest priorities. In addition, the evaluation criteria for infrastructure importance are presented.

Introduction of Automation and Control Issues for Hot Rolling Mill Processes

  • Lee, Duk-Man
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.175.1-175
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    • 2001
  • This paper handles main automation facilities and important control issues for hot rolling mill processes. Starting from the general procedures of production cycle, detailed tension control applications are handled based on field experiences and published research papers. Nowadays, quality control and delivery time control for products is becoming more and more important as the client demand is tighter than any other period. In this respect, control technology in steel making process takes very important position. Therefore, the objective of this paper is to share control problems with the people in academic field and by doing so, to get new and striking solution for the problems.

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