• 제목/요약/키워드: Pattern Analysis

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탐색적 자료 분석 및 연관규칙 분석을 활용한 잔류농약 부적합 농업인 유형 분석 (Pattern Analysis of Nonconforming Farmers in Residual Pesticides using Exploratory Data Analysis and Association Rule Analysis)

  • 김상웅;박은수;조현정;홍성희;손병철;홍지화
    • 품질경영학회지
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    • 제49권1호
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    • pp.81-95
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    • 2021
  • Purpose: The purpose of this study was to analysis pattern of nonconforming farmers who is one of the factors of unconformity in residual pesticides. Methods: Pattern analysis of nonconforming farmers were analyzed through convergence of safety data and farmer's DB data. Exploratory data analysis and association rule analysis were used for extracting factors related to unconformity. Results: The results of this study are as follows; regarding the exploratory data analysis, it was found that factors of farmers influencing unconformity in residual pesticides by total 9 factors; sampling time, gender, age, cultivation region, farming career, agricultural start form, type of agriculture, cultivation area, classification of agricultural products. Regarding the association rule analysis, non-conformity association rules were found over the past three years. There was a difference in the pattern of nonconforming farmers depending on the cultivation period. Conclusion: Exploratory data analysis and association rule analysis will be useful tools to establish more efficient and economical safety management plan for agricultural products.

WIS: Weighted Interesting Sequential Pattern Mining with a Similar Level of Support and/or Weight

  • Yun, Un-Il
    • ETRI Journal
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    • 제29권3호
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    • pp.336-352
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    • 2007
  • Sequential pattern mining has become an essential task with broad applications. Most sequential pattern mining algorithms use a minimum support threshold to prune the combinatorial search space. This strategy provides basic pruning; however, it cannot mine correlated sequential patterns with similar support and/or weight levels. If the minimum support is low, many spurious patterns having items with different support levels are found; if the minimum support is high, meaningful sequential patterns with low support levels may be missed. We present a new algorithm, weighted interesting sequential (WIS) pattern mining based on a pattern growth method in which new measures, sequential s-confidence and w-confidence, are suggested. Using these measures, weighted interesting sequential patterns with similar levels of support and/or weight are mined. The WIS algorithm gives a balance between the measures of support and weight, and considers correlation between items within sequential patterns. A performance analysis shows that WIS is efficient and scalable in weighted sequential pattern mining.

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J2EE 패턴기반의 컴포넌트 개발 프로세스 (J2EE Pattern Based Component Development Process)

  • 최일우;류성열;이남용
    • 한국전자거래학회지
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    • 제7권3호
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    • pp.219-240
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    • 2002
  • The various software engineering techniques have been appeared in order to cope with the software crisis since 1980's. Currently, the research against the techniques likes the Design pattern, Component which improve the software's re-use are spread out. Also S/W Development Process are interested intensively which attempts the quality and a increasing productivity of software development with the basic policy. The design pattern is the solution against the problem which occurs repeat in a specific area. Many design pattern are developed and researched, but the method which accommodates the developed design pattern efficiently in the phase of analysis and design software development process is not good enough, so it is the actual applying technique is difficult. In this paper we suggest and the “UML components+” which is a efficient component development process from customizing EJB based the J2EE using the “UML Components” which is a component development methodology. Applying J2EE pattern efficiently with UML components+, there is a possibility of efficiency in the component development based pattern.

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중년 여성의 자켓패턴 설계 (Jacket Pattern for Middle-Aged Women)

  • 류영숙;이정란
    • 한국의류산업학회지
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    • 제2권4호
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    • pp.353-359
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    • 2000
  • The purpose of this study was to develop the jacket pattern drafting method for Korean middle-aged women. The study was composed as follows : 1. Body measurement and statistical analysis : Two hundreds and forty four middle-aged women between the ages of forty five and fifty nine were measured on 52 items. 2. Development of new jacket pattern drafting method : Measurement items necessary to draft new jacket pattern were back waist length, bust girth, waist girth, hip girth, back interscye breadth, front interscye breadth, neck base girth, nipple length, nipple to nipple breadth, 1/2 posterior shoulder length and sleeve length. Basic jackets constructed from the experimental patterns were examined through the fitting test. 3. Evaluation of the new pattern drafting method : The sensory evaluations for appearance and comfort were applied to evaluate the new jacket pattern by comparing it with one of the conventional jacket patterns (Lee Hyung-Suk's). According to the result of sensory evaluation, the new jacket pattern was more positive.

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GPU를 이용한 DNA 컴퓨팅 기반 패턴 분류기의 효율적 구현 (Efficient Implementing of DNA Computing-inspired Pattern Classifier Using GPU)

  • 최선욱;이종호
    • 전기학회논문지
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    • 제58권7호
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    • pp.1424-1434
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    • 2009
  • DNA computing-inspired pattern classification based on the hypernetwork model is a novel approach to pattern classification problems. The hypernetwork model has been shown to be a powerful tool for multi-class data analysis. However, the ordinary hypernetwork model has limitations, such as operating sequentially only. In this paper, we propose a efficient implementing method of DNA computing-inspired pattern classifier using GPU. We show simulation results of multi-class pattern classification from hand-written digit data, DNA microarray data and 8 category scene data for performance evaluation. and we also compare of operation time of the proposed DNA computing-inspired pattern classifier on each operating environments such as CPU and GPU. Experiment results show competitive diagnosis results over other conventional machine learning algorithms. We could confirm the proposed DNA computing-inspired pattern classifier, designed on GPU using CUDA platform, which is suitable for multi-class data classification. And its operating speed is fast enough to comply point-of-care diagnostic purpose and real-time scene categorization and hand-written digit data classification.

Development of Web UX Pattern System for Wordpress Service, and Design Suggestion for Wordpress Theme Filtering Service

  • Lee, Hyun Jhin
    • International Journal of Contents
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    • 제13권1호
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    • pp.9-21
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    • 2017
  • This study focused on realizing the UX pattern elements for Wordpress service, and applying the UX pattern approach to enhance UX consideration in Wordpress theme service. The Wordpress UX pattern system was developed based on web UX pattern analysis, and on characteristics of Wordpress components and theme filtering tags. The Wordpress UX pattern system was further analyzed in 22 popular Wordpress themes and 20 web UX scenarios, to evaluate its working by defining theme UX as a case study. The Wordpress theme filtering service GUI was designed based on the Wordpress UX pattern system as a design suggestion. Web technology is evolving rapidly, and web design has become a ready-made service with less user experience consideration, or design creativity. This study directs to keep track of UX value in an emerging web service paradigm.

Pattern Discovery by Genetic Algorithm in Syntactic Pattern Based Chart Analysis for Stock Market

  • Kim, Hyun-Soo
    • 한국정보시스템학회지:정보시스템연구
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    • 제3권
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    • pp.147-169
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    • 1994
  • This paper present s a pattern generation scheme from financial charts. The patterns constitute knowledge which consists of patterns as the conditional part and the impact of the pattern as the conclusion part. The patterns in charts are represented in a syntactic approach. If the pattern elements and the impact of patterns are defined, the patterns are synthesized from simple to the more highly credible by evaluating each intermediate pattern from the instances. The overall process is divided into primitive discovery by Genetic Algorithms and pattern synthesis from the discovered primitives by the Syntactic Pattern-based Inductive Learning (SYNPLE) algorithm which we have developed. We have applied the scheme to a chart : the trend lines of stock price in daily base. The scheme can generate very credible patterns from training data sets.

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VP-ellipsis, Stripping, and the Functions of the Delimiter -to in Korean

  • Kim, So-Jee;Cho, Sae-Youn
    • 한국언어정보학회지:언어와정보
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    • 제20권1호
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    • pp.93-110
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    • 2016
  • VP-ellipsis constructions in English can be schematized as S + [NP finite-AUX __ ] where the underlined part is understood to be a VP. Similarly, the pattern S + NP[-to] can be observed in Korean colloquial contexts. Though the English VP-ellipsis sentence pattern and the Korean pattern superficially seem to be similar, the Korean pattern exhibits peculiar properties: Syntactically, the NP of the pattern should have the delimiter -to. Semantically, it may convey ambiguous readings: VP-ellipsis-like and/or Stripping-like interpretation. To account for the pattern at issue, we propose a base-generated analysis driven by the delimiter -to within a construction grammar. We claim that the mother of the NP[-to] in this pattern is an S whose meaning is ambiguous between a VP-ellipsis-like and a Stripping-like reading. Consequently, the code of the VP-ellipsis in English is finite auxiliary verbs while that of the pattern S + NP[-to] in Korean is the delimiter -to.

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팬츠패턴의 설계요인 분석 - 밑위관련 항목을 중심으로 - (An Analysis on the Design Factors for Pants Pattern - Focused on Crotch Region -)

  • 문지현;전은경
    • 한국의류산업학회지
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    • 제13권3호
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    • pp.382-389
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    • 2011
  • Pants is an item of clothes of which physical suitability for improvement of appearance and movement is greatly emphasized. The pattern design of pants is very important because the fitness of crotch region, which is difficult to measure, is structurally essential in pants. This study gives detailed pattern development data for the future pattern design by considering design factors related with crotch region of pants and by suggesting related data. For this study, we measured and analyzed the measuring size of each parts of pattern and the design methods related with crotch region selecting 20 textbooks used in universities and institutes of higher education. Through this study, crotch region of pants pattern related design data were obtained and this result could be a primary information in development and education of pants pattern.

가상 착의 시뮬레이션을 이용한 래글런 소매 패턴 변화에 따른 착의 시 정량적 분석 가능성 모색 (A Study on Based on the Possibility of Quantitative Analysis using Virtual Clothing Simulation according to Raglan Sleeve Pattern Types)

  • 이예진;이병철
    • 한국생활과학회지
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    • 제21권2호
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    • pp.299-314
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    • 2012
  • The purpose of this study was to explore effects of pattern alteration using a virtual clothing simulation approach in combination with 3D analysis software. Three raglan sleeves of different patterns were worn by an avatar using virtual clothing simulation with silk and cotton as the test fabrics. It was observed that the silhouette and hemline shape were affected differently based on raglan sleeve pattern and fabric type. By examining clothing pressure distribution, the cotton fabric designs and pattern shapes provided for a variety of influences on armhole and bust regions as well as the back sleeve area. For representative locations, cross section circumstance, cross section area, and volume were measured by using 3D analysis and the resulting correlation between the 2D and 3D data were investigated. Among different fabrics, there was little difference between the 2D and 3D clothing surface area. However, when using 3D analysis, clothing volume was significantly affected by different fabrics and pattern types. By simultaneously adopting the virtual simulator and 3D analysis, quantitative assessment of virtual clothing simulation was successfully conducted. In light of the results of this study, the resulting methodology is expected to be used as a comprehensive evaluation tool for virtual clothing simulation wear testing.