• Title/Summary/Keyword: category pattern

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A study on the characteristics and transformation of the rural dwelling space - In the case of Kwang Duk Village in Imha Dam flooded area - (농촌 주거공간의 특성 및 변용에 관한 연구 - 임하댐 수몰지역 광덕마을을 대상으로 -)

  • 채경희
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 1991.09a
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    • pp.29-40
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    • 1991
  • The purpose of this study is invested, recorded about traditional dwelling space, and there is to find out possibilites on the context of the inheritance of traditional life through analzing about life content and space. The results of this study are as follows: 1) Kwang Duk vililage is the typical traditional town where the confucian view of life still affects on overall housing life. 2) The pattern of layout is mainly 'ㅡ' and 'ㄱ' shaped type. In the plane and structural form, the original form is, though some parts have changed, maintained. 3) According to the analysis of transformation state of dwelling space, the category of transformation is summerized as follow ; changes of room function, increase and decrease of annex, and room size by changes of family structure, life style, farming operation style.

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A Study on Pao, A Caftan type Subculture Garment in China Nationality (중국소수민족 포의 연구)

  • 정은택;박춘순
    • Journal of the Korean Society of Costume
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    • v.50 no.6
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    • pp.155-162
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    • 2000
  • Classifying the diverse and complex clothing category of nationality subcultures in China is not a simple task. However, summing up, it can be largely classified that clothing of the northern area is long trousers and short skirt. Among the clothing of Nationality in China, especially, Pao(robe: 袍) has its diversity and colorfulness. whose elements forming its each characteristic feature has enough value to be investigated fully in the historical point of view. The conclusions of this study reveals that Pao in nationality subculture in China can possibly be divided into the four types as Qipao(旗袍) in Dongpei area, Mongopao(蒙古袍) in Inner Mongolia, Qiapan in Xinjiang area, and Zangpao in Tibet area. The modes of Qipao and Mongopao are mainly similar in that they have diagonally on the right, stand collar in composition, but Qipao shows its diversity in collar and slashes, and Mongopao also shows diversity in its colare and waistband. Since western culture flowed into China along with its open door and reform policy, the splendid color and distinctive pattern, decoration, diversified method of compositions and clothing categories of Nationality cultures are disappearing in its their originality and nationality.

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Topicality and Focality of Contrastive Topic (대조주제의 주제성과 초점성)

  • Wee, Hae-Kyung
    • Language and Information
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    • v.14 no.2
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    • pp.47-70
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    • 2010
  • This study investigates the semantic and prosodic properties of the so-called contrastive topic. We posit two informational primitives, namely, topical feature [+-T] and focal feature [+-F], from which four different informational categories, i.e., [+T, +F], [+T, -F], [-T, +F], and [-T, -F], are yielded. It is proposed that the informational category of contrastive topic has focal property [+F] as well as topical property [+T]. Based on the semantic approach that regards the function of [+F] as identificational predication and that of [+T] as forming a semantic conditional clause, it is shown that the semantic function of contrastive topic, which is specified as [+T, +F], is the combination of these two functions, i.e., identificational predication in a semantic conditional clause. This is supported by a scrutinized exploration of the prosodic pattern of English contrastive topic.

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Comparing Accuracy of Imputation Methods for Incomplete Categorical Data

  • Shin, Hyung-Won;Sohn, So-Young
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.05a
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    • pp.237-242
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    • 2003
  • Various kinds of estimation methods have been developed for imputation of categorical missing data. They include modal category method, logistic regression, and association rule. In this study, we propose two imputation methods (neural network fusion and voting fusion) that combine the results of individual imputation methods. A Monte-Carlo simulation is used to compare the performance of these methods. Five factors used to simulate the missing data are (1) true model for the data, (2) data size, (3) noise size (4) percentage of missing data, and (5) missing pattern. Overall, neural network fusion performed the best while voting fusion is better than the individual imputation methods, although it was inferior to the neural network fusion. Result of an additional real data analysis confirms the simulation result.

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Experiences of the Elderly with Chronic Diseases in a Health Management Program (만성질환 노인의 건강관리 프로그램 참여 경험)

  • Kim, Jeong-Soo
    • Korean Journal of Health Education and Promotion
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    • v.28 no.3
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    • pp.17-29
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    • 2011
  • Objectives: This study was to explore how elderly with chronic disease in a health management program managed their health and to describe their health management strategies. Methods: The data were collected through in-depth interviews, with a purposeful sample of twelve in an urban community. The collected information was analyzed through grounded theory approaches by Strauss and Corbin. Results: Though open coding process, 35 concepts, 17 subcategories, 8 categories were identified. As for the participation experience process, four stages had surfaced, namely, 'Perception of chronic disease', 'Concerned about health', 'Developing life pattern', 'Restoring health'. These processes were within 'Restoring Health Equilibrium', core category. Consequently, the participants revealed in restoring relationship-oriented life and settling in family-focused life. Conclusions: These findings have implications for the understanding of health promotion for the elderly with chronic diseases and contributing to make a basic data for developing elderly health management program.

Improving the Performance of Statistical Automatic Text Categorization by using Phrasal Patterns and Keyword Sets (구문 패턴과 키워드 집합을 이용한 통계적 자동 문서 분류의 성능 향상)

  • Han, Jeong-Gi;Park, Min-Gyu;Jo, Gwang-Je;Kim, Jun-Tae
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.4
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    • pp.1150-1159
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    • 2000
  • This paper presents an automatic text categorization model that improves the accuracy by combining statistical and knowledge-based categorization methods. In our model we apply knowledge-based method first, and then apply statistical method on the text which are not categorized by knowledge-based method. By using this combined method, we can improve the accuracy of categorization while categorize all the texts without failure. For statistical categorization, the vector model with Inverted Category Frequency (ICF) weighting is used. For knowledge-based categorization, Phrasal Patterns and Keyword Sets are introduced to represent sentence patterns, and then pattern matching is performed. Experimental results on new articles show that the accuracy of categorization can be improved by combining the tow different categorization methods.

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Development of Intelligent Monitoring System for Welding Process Faults Detection in Auto Body Assembly (자동차 차체 제조 공정에서 용접 공정 오류 검출을 위한 지능형 모니터링 시스템 개발)

  • Kim, Tae-Hyung;Yu, Ji-Young;Rhee, Se-Hun;Park, Young-Whan
    • Journal of Welding and Joining
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    • v.28 no.4
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    • pp.81-86
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    • 2010
  • In resistance spot welding, regardless of the optimal condition, bad weld quality was still produced due to complicated manufacturing processes such as electrode wear, misalignment between the electrode and workpiece, poor part fit-up, and etc.. Therefore, the goal of this study was to measure the process signal which contains weld quality information, and to develop the process fault monitoring system. Welding force signal obtained through variety experimental conditions was analyzed and divided into three categories: good, shunt, and poor fit-up group. And then a monitoring algorithm made up of an artificial neural network that could estimate the process fault of each different category based on pattern was developed.

A Qualitative Research about the Purchase Behavior of Internet Shoppers (인터넷 쇼핑몰 이용자의 구매행동에 관한 질적연구)

  • 고은주;김성은
    • Journal of the Korean Home Economics Association
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    • v.42 no.1
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    • pp.153-166
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    • 2004
  • The purpose of this study was to examine the internet shoppers' new purchase behavior, to examine the general purchase behavior(i.e., purchase pattern, preference), and to examine the related factors to promotion strategies(i.e., e-mail, event) of internet shopping mall. Focus group interviews were done with 40 internet shopping-mall users on May, 2003 for the data collection. Data were analyzed by content analysis and descriptive statistics(i.e., frequency, percent). The results of this study were as following. First, competitive price, accurate product and service information and convenience were considered as important factors in the new purchase behavior among internet shoppers. Second, the more frequent purchasing time through the internet shopping mall were on weekdays rather than weeekends and the most preferred information search engine were category type, item type, and price type in order. Third, e-mails from internet shopping mall were most likely opened by internet shoppers, that is to say, e-mail can be the efficient communication tool as well as the possible promotion strategies. Specifically, the title of email was considered as an important factor to approach the target consumers.

Intra-Urban Growth and Spatial Patterns in variation of Poupulation Density-The case of Seoul- (인구밀도의 변화로 본 도시내부의 성장과 공간패턴 - 서울의 예)

  • 이진환
    • Journal of the Korean Geographical Society
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    • v.38
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    • pp.61-74
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    • 1988
  • Changing patterns of population densities in urban centers are different between Western countries and non-Western countries. Although Seoul is located in a non-Western country, the result of this study shows that its pattern of population density falls into the category of Western cities. Through the examination of three population density gradient models, it is clear that no model can precisely explain the population distribution of Seoul over time. Some of the models partly indicate the actual population distrisbution. The Clark model is appropriate to denote population distribution in the center of Seoul at an early stage in development. The Sherratt model cannot adequately explain the population distribution of Seoul.

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Risk Analysis Based on Accident-Category for Railway Work Zones (철도건설현장의 사고유형기반 위험도 분석)

  • Park, Mi-Yun;Choi, Eun-Soo;Park, Joo-Nam;Choi, Seung-Sun
    • Journal of the Korean Society for Railway
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    • v.12 no.2
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    • pp.260-266
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    • 2009
  • The theory of risk is applied frequently in analysis of railway accidents. The aim of risk analysis is to search potential causes and contribution factors of accidents by checking the total system of construction field. This paper analyze a pattern and a cause of accident occupied in construction field, calculate risk index considering accident frequency and severity, and then provide the relative risk assessment. Based on this, this paper will provide the methodology of qualitative risk assessment guiding to reach a consistency of risk index with risk assessment.