• 제목/요약/키워드: Pattern making method

검색결과 359건 처리시간 0.027초

서구문화의 유입에 따른 중국 여성 복식의 변화와 그 유형에 대한 연구 - 20세기 전반기를 중심으로 - (A Study of the Changes and the Types of Chinese Women's Clothing Resulted from the Introduction of European Culture)

  • 조영란;이금희
    • 복식문화연구
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    • 제16권5호
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    • pp.891-909
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    • 2008
  • The purpose of this study was to examines the changes in Chinese women's clothing resulted from the introduction of Western culture in the first hal# of the 20th century in terms of Chinese view of the world and their attitude towards European culture. The clothes are divided into four types according to their characteristics : traditional Chinese type, China-Europe adjustment type, China-Europe blend type and European type. As for the research method, both literature and visual data are examined. The traditional Chinese type showed changes only in the width and length retaining the features of the traditional qipao until the 1910s. The China-Europe adjustment type used the same flat pattern making of traditional Chinese dress while imitating only the appearances of European one-piece, two-piece and three-piece dresses. It also was presented with European accessaries and hair-styles. The China-Europe blend type, starting to appear with the introduction of the three-dimensional pattern making from the Europe in the 1930s, showed a perfect mixture of European and traditional Chinese costumes in the early 1940s when the Chinese learned and adapted the European pattern making. The European type was the most modernized designs using a variety of European-style details and constructions as the traditional clothing started to have unrestricted European-style changes. Great significance can be found in the fact that the Chinese modified their garments by themselves using the pattern mating they learned from the Europe.

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3D 측정치를 이용한 여성용 모자 패턴 개발 - 6면 크라운 중심으로 - (A Study on Development of the Basic Hat Pattern using 3D Scan Data for Korean Women - Focusing on the 6 pieces Crown -)

  • 김차현;김금화
    • 한국의류산업학회지
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    • 제12권3호
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    • pp.354-363
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    • 2010
  • The purpose of this study was to provide some preliminary results on application of 3D scan data of head shapes to the hat design and pattern-making. This paper defined necessary measurement items and concepts in 3-dimensional images of head shapes. And also it presented the methodology to pattern-making of 6-piece crown hat based on 3D data. It used the data of Size Korea to pick up and choose a head shape model with the average head size of Korean women in their twenties. Main results were: 1. The 3D scan data of head shape was better than the 1 dimensional measurement data. Because I could establish a hat pattern-making theory by the 3D scan data of head. 2. The 3D scan data provided the basis for conceptualization of basic measurement points and items for a better fit of hats as well as the definition of the basic hat circumference. 3. This presented a methodology for analyzing out head shape by 3D scan data, and allowed the derivation of the basic hat circumference from the maximum head circumference. 4. As the 6-piece Crown cloche hat made by this method fitted the head shape model perfectly, this methodology could suggest potential applicability to various hat design.

패턴인식을 이용한 수삼 등급판정 알고리즘에 관한 연구 (A Study on a Ginseng Grade Decision Making Algorithm Using a Pattern Recognition Method)

  • 정석훈;고국원;강제용;장수원;이상준
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제5권7호
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    • pp.327-332
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    • 2016
  • 본 연구는 비 정형 농산물 중 6년근 수삼의 자동 등급 분류하기 위한 선행연구로, 이를 위해 4방향에서 이미지 취득이 가능한 수삼 영상 측정기를 제작 하였으며 총 245 수삼 개체에 대해서 영상을 취득하였다. 취득된 영상의 각 수삼 개체마다 12개의 파라미터를 추출하였으며, KGC 인삼공사의 수삼등급 분류 기준과 각 등급별 평균 파라미터의 분포를 조사하여 최종 4개 파라미터를 선정하였다. 패턴인식 분류기는 Support Vector Machine을 사용하였으며 공용 소프트웨어인 OpenCV Library를 사용하여 k-Class 분류기를 설계하였다. 각 등급별 학습 데이터 수를 10, 15, 20으로 조정하여 등급별 인식률, 본인 거부율, 타인 인식율을 조사하였으며, 학습데이터 수가 10개일 때 1등급 인식률 94%, 2등급 인식률 98%, 3등급 인식률 90%로 가장 높은 인식 성능을 보였다.

농가부부의 의사결정 구조 분석 (A Study of Decision-Making Structure of Rural Couples)

  • 조영숙;황대용;이한기
    • 농촌지도와개발
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    • 제14권2호
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    • pp.373-394
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    • 2007
  • The purposes of this study were to explore decision-making patterns of rural couples and to clarify the differences between socio-demographic variables related to the patterns. The data were gathered from 1,870 rural households through interviews with structured questionnaire in the 187 rural communities sampled by multi-staged cluster stratified sampling method in November 2005. A total of 1,106 farm households including householder and spouse participated in the interview. The results of this study were as follows: First, in general, mainly householder made decision-making in the areas of dealing with real estate and selling farm products, while spouse decided in the areas of choosing television channel and deciding living expenses. Second, there were no significant differences of patterns by age, education and income level. Third, decision-making patterns were significantly different by sex and family type. According to the results of the study, in farm household, 'pattern of mainly householder or husband decision-making' was high yet as regarding agricultural decision making. Therefore, researchers suggested that educational program could be helpful for rural couples to participate in practicing gender equity decision- making.

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Using an Adaptive Search Tree to Predict User Location

  • Oh, Se-Chang
    • Journal of Information Processing Systems
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    • 제8권3호
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    • pp.437-444
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    • 2012
  • In this paper, we propose a method for predicting a user's location based on their past movement patterns. There is no restriction on the length of past movement patterns when using this method to predict the current location. For this purpose, a modified search tree has been devised. The search tree is constructed in an effective manner while it additionally learns the movement patterns of a user one by one. In fact, the time complexity of the learning process for a movement pattern is linear. In this process, the search tree expands to take into consideration more details about the movement patterns when a pattern that conflicts with an existing trained pattern is found. In this manner, the search tree is trained to make an exact matching, as needed, for location prediction. In the experiments, the results showed that this method is highly accurate in comparison with more complex and sophisticated methods. Also, the accuracy deviation of users of this method is significantly lower than for any other methods. This means that this method is highly stable for the variations of behavioral patterns as compared to any other method. Finally, 1.47 locations were considered on average for making a prediction with this method. This shows that the prediction process is very efficient.

ATM망에서 퍼지 패턴 추정기를 이용한 신경망 호 수락제어에 관한 연구 (A Study on a neural-Net Based Call admission Control Using Fuzzy Pattern Estimator for ATM Networks)

  • 이진이;이종찬;이종석
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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    • pp.173-179
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    • 1998
  • This paper proposes a new call admission control scheme utilizing an inverse fuzzy vector quantizer(IFVQ) and neural net, which combines benefits of IFVQ and flexibilities of FCM(Fuzzy-C-Menas) arithmatics, to decide whether a requested call that is not trained in learning phase to be connected or not. The system generates the estimated traffic pattern of the cell stream of a new call, using feasible/infeasible patterns in codebook, fuzzy membership values that represent the degree to which each pattern of codebook matches input pattern, and FCM arithmatics. The input to the NN is the vector consisted of traffic parameters which is the means and variances of the number of cells arriving inthe interval. After training(using error back propagation algorithm), when the NN is used for decision making, the decision as to whether to accept or reject a new call depends on whether the output is greater or less then decision threshold(+0.5). This method is a new technique for call admi sion control using the membership values as traffic parameter which declared to CAC at the call set up stage, and is valid for a very general traffic model in which the calls of a stream can belong to an unlimited number of traffic classes. Through the simmulation. it is founded the performance of the suggested method outforms compared to the conventional NN method.

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워싱 가공 종류에 따른 청바지의 패턴 연구 (The Development of Jeans Pattern by Washing Finishing)

  • 어미경;김경아;서미아
    • 복식문화연구
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    • 제17권4호
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    • pp.535-547
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    • 2009
  • This study presented a making method of jeans pattern with high fitness after deriving the appropriate shrinkage rate by material and washing process. For this purpose of this study, 6 jeans have been tested after washing finishing and we turned out appropriate shrinkage rate by evaluating the exterior of jeans and usage satisfaction. Then, a making method of jeans pattern was presented after applying the optimized shrinkage rate. According to the result of the exterior evaluation of test jeans, all 6 jeans were rated high with scores close to 3.5. Following the evaluation of satisfaction of usage by physical movement, the highest ranking was in the order of walking with normal steps, back bending $90^{\circ}$, chair sitting, climbing stairs, and squatting. The shrinkage rate by physical area showed the highest score in the order of pants length, waist circumference, thigh circumference, knee circumference, hem circumference, hips circumference. In addition, the shrinkage rate was higher in warp direction than weft direction after washing finishing. As for the result of addition and reduction of pattern measurements by parts of jeans, waist circumference was 2.6${\sim}$5.2cm, hips circumference was 1.3${\sim}$4.2cm, thigh circumference was 0.8${\sim}$3.1cm and knee circumference was 0.7${\sim}$2.5cm. Also, hem circumference was 0.5${\sim}$1.8cm and pants length was 4.0${\sim}$6.2cm. That is, this results showed a wide range of addition and reduction according to material and washing finishing.

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마스크에 대한 기계적 가공을 이용한 단결정 실리콘의 미세 패턴 가공 (Selective Removal of Mask by Mechanical Cutting for Micro-patterning of Silicon)

  • 진원혁;김대은
    • 한국정밀공학회지
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    • 제16권2호통권95호
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    • pp.60-67
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    • 1999
  • Micro-fabrication techniques such as lithography and LIGA processes usually require large investment and are suitable for mass production. Therefore, there is a need for a new micro-fabrication technique that is flexible and more cost effective. In this paper a novel, economical and flexible method of producing micro-pattern on silicon wafer is presented. This method relies on selective removal of mask by mechanical cutting. Then micro-pattern is produced by chemical etching. V-shaped grooved of about 3 ${\mu}m$ wide and 2 ${\mu}m$ deep has been made on ${SiO_2}m$ coated silicon wafer with this method. This method may be utilized for making microstructures in MEMS application at low cost.

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드레스 셔츠 원형 설계 및 그레이딩룰에 관한 연구 (A Study on the Pattern and Grading Rule for Dress Shirts)

  • 황영미;이정란
    • 한국의류학회지
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    • 제27권1호
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    • pp.48-59
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    • 2003
  • The purposes of this research lie in developing dress shirts pattern targeting adult males between 25-34 years of age and presenting the rules of grading according to the real circumstances of dress shirts industry. The findings of this research are as follows: 1. The surveyed companies kept different size systems ranged from 5 to 18. They kept different size systems each other, and the pattern making was conducted by modification of the collar size, chest size, etc of the pattern developed through each company's know-how. All the surveyed companies were using point method of grading. 2. The method of the research pattern was to adopt N/6+1(cm) for the width of the back of the neck. N/6 for the front neck, N/6+2 for the depth of the front neck, B/6+7 for the shoulder width, B/6+5.5 for the breast width, B/4+5 for the whole width (back), B/4+4 for the whole width (front), B/4+3.5 for the depth, AH/2+0.5 for the back arm hole, AH2+1 for the front arm hole. 3. The grading rule was made after classifying the sizes into 14 centered on the standard size 40. Through the wearing test of research grading rule, 1 found the suitability of grading size 36 and 43 satisfiable.

저전력 BIST를 위한 패턴 사상(寫像) 기법에 관한 연구 (Pattern Mapping Method for Low Power BIST)

  • 김유빈;장재원;손현욱;강성호
    • 대한전자공학회논문지SD
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    • 제46권5호
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    • pp.15-24
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    • 2009
  • 본 논문은 유사랜덤 방식의 BIST를 기반으로 하여 스캔 shifting시의 transition을 획기적으로 줄여 주었던 transition freezing 기법과 새롭게 제안하는 고장검출율 100%를 위한 pattern mapping 기법을 결합한 효과적인 저전력 BIST구조에 대해 제안한다. Transition freezing 기법으로 생성된 고연관의 저전력 패턴은 패턴 인가 초기에는 많은 수의 고장을 검출해 내지만, 패턴의 수가 점점 늘어날수록 랜덤 저항 고장의 증가로 인해 추가적인 고장 검출에는 한계가 있었다. 이러한 비검출 고장에 대해 ATPG를 통한 테스트 패턴을 생성하여, 고장을 검출하지 못하는 frozen pattern과 mapping을 함으로써 기 생성된 패턴을 재활용하여 인가되는 패턴의 수와 테스트 시간을 줄임으로써 전력 소모량을 줄일 수 있었다.