• Title/Summary/Keyword: Attribute analysis

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Framing Trend and Style Information in Magazine

  • Kwon, Yoo Jin
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.4
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    • pp.491-505
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    • 2013
  • This study applies framing theory to the presentation of trend or styling information in fashion journalism. A qualitative content analysis was conducted with three lifestyle magazines. The findings include attribute, attitude, and source-based frames. The attribute-based frame was used to increase the versatility and feasibility of design by emphasizing particular attributes of clothes. To increase versatility, an item could be presented either as a basic or trendy design. To increase feasibility, fashion information could be customized by price points (i.e., affordable frame) or body type (i.e., flattering frame). The attitude-based frame includes prescriptive and rule-breaking frames. The source-based frame offers a source of trend or styling information. Expert, celebrity, and consumer frame emerged under the source-based frame. Findings reveal how fashion and style information is defined and crafted.

The Analysis of IDS Alarms based on AOI (AOI에 기반을 둔 침입탐지시스템의 알람 분석)

  • Jung, In-Chul;Kwon, Young-S.
    • IE interfaces
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    • v.21 no.1
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    • pp.33-42
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    • 2008
  • To analyze tens of thousands of alarms triggered by the intrusion detections systems (IDS) a day has been very time-consuming, requiring human administrators to stay alert for all time. But most of the alarms triggered by the IDS prove to be the false positives. If alarms could be correctly classified into the false positive and the false negative, then we could alleviate most of the burden of human administrators and manage the IDS far more efficiently. Therefore, we present a new approach based on attribute-oriented induction (AOI) to classify alarms into the false positive and the false negative. The experimental results show the proposed approach performs very well.

Hangul Recognition using Syntax Analysis and Pattern Classification (구문분석과 패턴분류를 이용한 한글인식)

  • Kang, Hyun-Chul;Choi, Dong-Hyuk;Lee, Wan-Joo;Park, Kyu-Tae
    • Annual Conference on Human and Language Technology
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    • 1989.10a
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    • pp.197-202
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    • 1989
  • 한글에서 발생하는 자소의 접촉에 의한 오인식을 해결하기 위하여, 접촉점을 중심으로 원소를 변환하여, 확장 가능한 구조를 모두 검증하고, 수락된 후보패턴에 대하여 가장 근접한 패턴 클래스로 할당하는 한글 인식방법을 제안한다. 프로그램드 배열운법을 이용하여 화소의 2차원 배열에서 입력패턴을 인식하고, PEACE(Primitive-Extraction and Attribute-Computation Embeded ) 파싱을 이용하여, 원소(primitive)의 추출과 숙성 (attribute)의 계산을 구문분석 과정에 통합하고, 전체 시스템이 동적인 구조를 갖게하여, 1차원 스트링으로의 변환에 따르는 패턴의 변형과 부가적인 노력을 억제한다.

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Medoid Determination in Deterministic Annealing-based Pairwise Clustering

  • Lee, Kyung-Mi;Lee, Keon-Myung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.3
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    • pp.178-183
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    • 2011
  • The deterministic annealing-based clustering algorithm is an EM-based algorithm which behaves like simulated annealing method, yet less sensitive to the initialization of parameters. Pairwise clustering is a kind of clustering technique to perform clustering with inter-entity distance information but not enforcing to have detailed attribute information. The pairwise deterministic annealing-based clustering algorithm repeatedly alternates the steps of estimation of mean-fields and the update of membership degrees of data objects to clusters until termination condition holds. Lacking of attribute value information, pairwise clustering algorithms do not explicitly determine the centroids or medoids of clusters in the course of clustering process or at the end of the process. This paper proposes a method to identify the medoids as the centers of formed clusters for the pairwise deterministic annealing-based clustering algorithm. Experimental results show that the proposed method locate meaningful medoids.

A Data-Mining-based Methodology for Military Occupational Specialty Assignment (데이터 마이닝 기반의 군사특기 분류 방법론 연구)

  • 민규식;정지원;최인찬
    • Journal of the military operations research society of Korea
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    • v.30 no.1
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    • pp.1-14
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    • 2004
  • In this paper, we propose a new data-mining-based methodology for military occupational specialty assignment. The proposed methodology consists of two phases, feature selection and man-power assignment. In the first phase, the k-means partitioning algorithm and the optimal variable weighting algorithm are used to determine attribute weights. We address limitations of the optimal variable weighting algorithm and suggest a quadratic programming model that can handle categorical variables and non-contributory trivial variables. In the second phase, we present an integer programming model to deal with a man-power assignment problem. In the model, constraints on demand-supply requirements and training capacity are considered. Moreover, the attribute weights obtained in the first phase for each specialty are used to measure dissimilarity. Results of a computational experiment using real-world data are provided along with some analysis.

An Analysis of the Ecology Fabric Trend : 20 Years (1986-2005) of S/S Woven Fabric Trends

  • Kim, Dong-Woon;Park, Chung-Bee
    • International Journal of Costume and Fashion
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    • v.10 no.1
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    • pp.29-45
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    • 2010
  • In order to provide more systematic approach to analyze fabric trends and to develop fabrics accordingly, ecology fabric trend from 1986 to 2005 was analyzed related with fabric trend themes and fabric attributes. The result shows that in the 1980s, natural theme appeared, followed by primitive theme and imitated natural theme until the mid 1990s. From the late 1990s to the early 2000s, new natural theme appeared, followed by eco-friendly theme, and then recycling theme. In the natural theme, 'clean' was the most important fabric attribute and 'textured' and 'worn' were important fabric attributes in the primitive theme. In the imitated natural theme, 'wet' fabric attribute was preferred. In the new natural theme, 'lightweight' were preferred. The results of this study empirically demonstrated that abstract and ambiguous trend terms can be interpreted with a physical, substantial, and feasible attributes that fabric practitioners can easily understand.

Multi-Attribute Robust Parameter Design to Improve White Board Paper Quality (백판지 제조 품질향상을 위한 다요소 강건설계)

  • Baek, Kae-Sung;Sohn, So-Young;Kim, Se-Jin
    • IE interfaces
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    • v.12 no.3
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    • pp.458-467
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    • 1999
  • In this paper, we analyze the calendaring operation in the process of paper manufacturing. Controllable parameters involved in the calendaring operation are the calendar material, temperature and pressure. Main objective of this paper is to find the robust design of these parameters which would provide consistent quality of paper in terms of the thickness, brightness, and roughness. We first use a split-plot design in the context of a central composit design for a preliminary analysis to find the proper calendar material. Next, response surfaces for the mean and variance of each quality attribute are fitted as functions of calender temperature and pressure. Bootstrap resampling approach is used to find the robust parameter design.

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Intelligent Query Analysis using Fuzzy Association Rule (퍼지 연관규칙을 이용한 지능적 질의해석)

  • Kim, Mi-Hye
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.6
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    • pp.2214-2218
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    • 2010
  • Association rule is one of meaning and useful extraction methods from large amounts of data, and furnish useful information to user for data describing a pattern or similarity among attributes in database. Association rule have been studied about existence and nonexistence rule in boolean database. In this paper, we propose an intelligent query system using fuzzy association rule by extraction association rule changing a quantitative attribute data to a nominal attribute value.

AGGREGATION OPERATORS OF CUBIC PICTURE FUZZY QUANTITIES AND THEIR APPLICATION IN DECISION SUPPORT SYSTEMS

  • Ashraf, Shahzaib;Abdullah, Saleem;Mahmood, Tahir
    • Korean Journal of Mathematics
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    • v.28 no.2
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    • pp.343-359
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    • 2020
  • The paper aim is to resolve the issue of ranking to the fuzzy numbers in decision analysis, artificial intelligence and optimization. In the literature lot of ideologies have been established for ranking to the fuzzy numbers, that ideologies have some restrictions and limitations. In this paper, we proposed a method based on cubic picture fuzzy information's, for ranking to defeat the existing restrictions. Further introduced some cubic picture fuzzy algebraic and cubic picture fuzzy algebraic* aggregated operators for aggregated the information. Finally, a multi-attribute decision making problem is assumed as a practical application to establish the appropriateness and suitability of the proposed ranking approach.

Analysis of Classification for Maintenance Management in Urban Transit Facility (도시철도 보선시설물 유지관리를 위한 표준 분류체게 연구)

  • Park, Seo-Young;Shin, Jeong-Rul;Park, Ki-Jun;Kim, Gil-Dong;Han, Seok-Yun
    • Proceedings of the KSR Conference
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    • 2003.10b
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    • pp.448-453
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    • 2003
  • Most urban transit companies recognize the necessity of classification for facility management Classification for urban transit facility is necessary for standardization of maintenance management. The practical application. however. is not easy because of the absence of standardization of classification for urban transit facility and the difficulty in objectification of breakdown structure. This study suggests a proposal of classification for maintenance management in urban transit facility. This study defines standardization of classification as facility, work, maintenance and attribute to manage urban transit facility. And attribute classification consist of material, equipment and document. The suggested classification can be used as a useful maintenance management tool that enables evaluation of urban transit facility by standardization. The results of this study could be used as references for related urban transit companies.

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