• 제목/요약/키워드: using pattern

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A Study on T-shirt Design Using Doggaebi Pattern

  • Kim, Weol-Kye
    • 패션비즈니스
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    • 제13권3호
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    • pp.77-85
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    • 2009
  • The purpose of this study is to design t-shirts by using doggaebi patterns as traditional cultural products. Byuksa has the meaning of keeping away wicked spirits and to receiving good fortune. Most of the pictures of magpies, tigers, dragons, hawks, and roosters contain the meaning of protection and the doggaebi pattern is a typical Byuksa pattern. By way of example of product development, this study will develop designs by using doggaebi patterns and promote beautiful Korean traditional patterns as well as Korean traditional culture. The reason for choosing the T-shirt is because T-shirts are a basic item that all people have and wear, so Koreans and foreigners get interested in them and buy them. This study presents designs for 5 kinds of t-shirts for adults and another five kinds for kids using doggaebi patterns. This study was limited to the doggaebi pattern, so it is expected more studies about patterns and many cultural products will develop.

자연어 처리 및 기계학습을 통한 동의보감 기반 한의변증진단 기술 개발 (Donguibogam-Based Pattern Diagnosis Using Natural Language Processing and Machine Learning)

  • 이승현;장동표;성강경
    • 대한한의학회지
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    • 제41권3호
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    • pp.1-8
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    • 2020
  • Objectives: This paper aims to investigate the Donguibogam-based pattern diagnosis by applying natural language processing and machine learning. Methods: A database has been constructed by gathering symptoms and pattern diagnosis from Donguibogam. The symptom sentences were tokenized with nouns, verbs, and adjectives with natural language processing tool. To apply symptom sentences into machine learning, Word2Vec model has been established for converting words into numeric vectors. Using the pair of symptom's vector and pattern diagnosis, a pattern prediction model has been trained through Logistic Regression. Results: The Word2Vec model's maximum performance was obtained by optimizing Word2Vec's primary parameters -the number of iterations, the vector's dimensions, and window size. The obtained pattern diagnosis regression model showed 75% (chance level 16.7%) accuracy for the prediction of Six-Qi pattern diagnosis. Conclusions: In this study, we developed pattern diagnosis prediction model based on the symptom and pattern diagnosis from Donguibogam. The prediction accuracy could be increased by the collection of data through future expansions of oriental medicine classics.

차량 주행제어를 위한 신경회로망을 사용한 주행패턴 인식 알고리즘 (Driving Pattern Recognition Algorithm using Neural Network for Vehicle Driving Control)

  • 전순일;조성태;박진호;박영일;이장무
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2000년도 춘계학술대회논문집A
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    • pp.505-510
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    • 2000
  • Vehicle performances such as fuel consumption and catalyst-out emissions are affected by a driving pattern, which is defined as a driving cycle with the grade in this study. We developed an algorithm to recognize a current driving pattern by using a neural network. And this algorithm can be used in adapting the driving control strategy to the recognized driving pattern. First, we classified the general driving patterns into 6 representative driving patterns, which are composed of 3 urban driving patterns, 2 suburban driving patterns and 1 expressway driving pattern. A total of 24 parameters such as average cycle velocity, positive acceleration kinetic energy, relative duration spent at stop, average acceleration and average grade are chosen to characterize the driving patterns. Second, we used a neural network (especially the Hamming network) to decide which representative driving pattern is closest to the current driving pattern by comparing the inner products between them. And before calculating inner product, each element of the current and representative driving patterns is transformed into 1 and -1 array as to 4 levels. In the end, we simulated the driving pattern recognition algorithm in a temporary pattern composed of 6 representative driving patterns and, verified the reliable recognition performance.

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A Heuristic Methodology for Fault Diagnosis using Statistical Patterns

  • Kwon, Young-il;Song, Suh-ill
    • 품질경영학회지
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    • 제21권2호
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    • pp.17-26
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    • 1993
  • Process fault diagnosis is a complicated matter because quality control problems can result from a variety of causes. These causes include problems with electrical components, mechanical components, human errors, job justification errors, and air conditioning influences. In order to make the system run smoothly with minimum delay, it is necessary to suggest heuristic remedies for the detected faults. Hence, this paper describes a heuristic methodology of fault diagnosis that is performed using statistical patterns generated by quality characteristics The proposed methodology is described briefly as follows: If a sample pattern generated by random variables is similar to the number of prototype patterns, the sample pattern may be matched by any prototype pattern among them to be resembled. This concept is based on the similarity between a sample pattern and the matched prototype pattern. The similarity is calculated as the weighted average of squared deviation, which is expressed as the difference between the relative values of standard normal distribution to be transformed by the observed values of quality characteristics in a sample pattern and the critical values of the corresponding ones in a matched prototype pattern.

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Generation of Pattern Classifiers Based on Linear Nongroup CA

  • Choi, Un-Sook;Cho, Sung-Jin;Kim, Han-Doo
    • 한국멀티미디어학회논문지
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    • 제18권11호
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    • pp.1281-1288
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    • 2015
  • Nongroup Cellular Automata(CA) having two trees in the state transition diagram of a CA is suitable for pattern classifier which divides pattern set into two classes. Maji et al. [1] classified patterns by using multiple attractor cellular automata as a pattern classifier with dependency vector. In this paper we propose a method of generation of a pattern classifier using feature vector which is the extension of dependency vector. In addition, we propose methods for finding nonreachable states in the 0-tree of the state transition diagram of TPMACA corresponding to the given feature vector for the analysis of the state transition behavior of the generated pattern classifier.

재킷 디자인의 입체와 평면 패턴분석 및 외관 적합성 분석에 관한 연구 (A Study of Wearing Fitness of Jacket Design and Analysis of Flat Pattern and Draping)

  • 서완석;김숙진
    • 한국의상디자인학회지
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    • 제18권2호
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    • pp.101-113
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    • 2016
  • This study was conducted in order to analyze draping and flat pattern according to jacket design, and provide basic materials for developing a jacket pattern that can enhance fitness, functionality, and aesthetic expression of clothes by reflecting esthetic expression of draping and efficiency of flat pattern at the same time. For the experimental jacket designs of a one-piece sleeve jacket and a two-piece sleeve jacket were selected among the entries of the designer Rubina for 2014 F/W Seoul Fashion Week. Designer brand Rubina usually produced clothes using draping and the designer brand company provided the experimental patterns for the study. We also had flat patterns of the same design and size specifications designed by a flat patternmaker who has 30 year-experience in flat pattern like Rubina. The test apparel jacket was made of 20's cotton yarns. Three models wore the jackets and evaluation on appearance fitness was conducted by 7 members in an expert panel group from August 10, 2015 to September 10, 2015. As a result of appearance fitness analysis on one-piece sleeve jacket, there were significant difference in 4 items among 17 items in terms of overall appearance. The appearance of jackets by draping had higher score than those using flat pattern. As for two-piece sleeve jacket, there were significant differences in 7 items among 17 items related to overall appearance. As for the items related to sleeve, 5 items out of 13 showed significant differences. Except for one item, appearance of jackets using draping had higher score than flat pattern. As for motion fitness, draping was evaluated to be more comfortable. Applying the items with high scores in appearance and motion fitness in draping to flat pattern, The study suggests a new jacket pattern development that would increase the satisfaction of consumers for future research.

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Size Korea 2004의 한국인 인체치수를 이용한 남성용 밀착 팬츠 패턴 개발 (Pattern Development of Tight-fitting Pants for Men Using Measurements of Size Korea 2004)

  • 정연희
    • 한국생활과학회지
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    • 제15권5호
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    • pp.791-802
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    • 2006
  • The construction of athlete's tight-fitting garments by reducing the elastic knit pattern is an interesting subject, which directly influences the performance of the wearer. Therefore, relationships between the reduction rates of the men's pants pattern obtained using measurements of Size Korea 2004 and clothing fitting were explored to improve clothing comfort. Two pattern making methods were developed and the reduction rates were applied to those pants depending on the parts of human body. The four male subjects were university students in the ages of 20 to 24. Subjective wear sensations of the experimental garments were rated using seven Likert scales during 4 consecutive days. While wearing the garments, subjects were kept four various postures including waist flexion and sitting etc by requests of the researchers. Likert type scale was used for the evaluation and 7 point indicates that it gave the best fit as tight-fitting pants. As results, differences in the length and girth between two piece pants pattern(style 1) and one piece pants pattern(style 2) were 0.0$\sim$0.3cm. Between two pattern making methods, one piece pants pattern(the style 2) was superior to two piece pants pattern in terms of subjective sensation and fit. Among eight tight-fitting pants, C, D, G, H pants were superior in terms of fitting and stability of waist and hip part to the others. ill case of tight-fitting pants, the reduction rate of the pattern in the course direction, the reduction rate of T2/3(66%) was better than that of T/2(50%), but the reduction rate of the pattern in the wale direction, that of the part of crotch, which was very sensitive part, should be kept the same as suggested earlier by Ziegert(1988).

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Pattern Analysis of Left Ventricular Remodeling Using Cardiac Computed Tomography in Children with Congenital Heart Disease: Preliminary Results

  • Hyun Woo Goo;Sang-Hyub Park
    • Korean Journal of Radiology
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    • 제21권6호
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    • pp.717-725
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    • 2020
  • Objective: To assess left ventricular remodeling patterns using cardiac computed tomography (CT) in children with congenital heart disease and correlate these patterns with their clinical course. Materials and Methods: Left ventricular volume and myocardial mass were quantified in 17 children with congenital heart disease who underwent initial and follow-up end-systolic cardiac CT studies with a mean follow-up duration of 8.4 ± 9.7 months. Based on changes in the indexed left ventricular myocardial mass (LVMi) and left ventricular mass-volume ratio (LVMVR), left ventricular remodeling between the two serial cardiac CT examinations was categorized into one of four patterns: pattern 1, increased LVMi and increased LVMVR; pattern 2, decreased LVMi and decreased LVMVR; pattern 3, increased LVMi and decreased LVMVR; and pattern 4, decreased LVMi and increased LVMVR. Left ventricular remodeling patterns were correlated with unfavorable clinical courses. Results: Baseline LVMi and LVMVR were 65.1 ± 37.9 g/m2 and 4.0 ± 3.2 g/mL, respectively. LVMi increased in 10 patients and decreased in seven patients. LVMVR increased in seven patients and decreased in 10 patients. Pattern 1 was observed in seven patients, pattern 2 in seven, and pattern 3 in three patients. Unfavorable events were observed in 29% (2/7) of patients with pattern 1 and 67% (2/3) of patients with pattern 3, but no such events occurred in pattern 2 during the follow-up period (4.4 ± 2.7 years). Conclusion: Left ventricular remodeling patterns can be characterized using cardiac CT in children with congenital heart disease and may be used to predict their clinical course.

향상된 적응형 유전 알고리즘을 이용한 회전체형 컨포멀 배열 안테나의 패턴 합성 (Pattern Synthesis of Rotated-type Conformal Array Antenna Using Enhanced Adaptive Genetic Algorithm)

  • 성철민;권오혁;박동철
    • 한국전자파학회논문지
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    • 제26권8호
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    • pp.758-764
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    • 2015
  • 본 논문에서는 2차 함수 곡선의 회전체형 도체 곡면 위에 있는 컨포멀 배열 안테나의 패턴을 EAGA(Enhanced Adaptive Genetic Algorithm)를 이용하여 합성한 내용을 보이고 있다. 다양한 곡면의 회전체 도체를 고찰하기 위해 2차 함수의 계수를 바꿔 세 가지 유형의 회전체형 곡면을 형성시켰고, 각 유형의 컨포멀 배열 안테나 패턴을 합성하였다. 패턴 합성에 소요되는 시간의 단축을 위해 3차원 컨포멀 배열 안테나의 능동 소자 패턴 대신에 2차원 평면 배열 안테나의 능동 소자 패턴을 구한 후, 이를 오일러 변환(Euler transform)시켜 이용하였다. EAGA를 이용하여 합성된 패턴의 검증을 위해 MWS(Microwave Studio)를 통해 구한 패턴과 비교하였으며, 두 패턴은 전반적으로 유사하였다.

제주신화 서천꽃밭의 생불꽃을 응용한 텍스타일 패턴디자인 (Textile Pattern Design Using Saengbul Flower in Seo-Cheon Flower Garden of Jeju Myth)

  • 장애란;현명관;김현미
    • 한국생활과학회지
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    • 제22권4호
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    • pp.667-676
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    • 2013
  • The purpose of this study is to establish a new method to develop the textile pattern design using Saengbul flower in Seo-cheon flower garden of Jeju Myth, in other words, to create mythic textile patterns by borrowing effectively from the mythic image of Saengbul flower. Seo-cheon flower garden is an incantation space and Saengbul flower means pregnance. Therefore, we drew Camellia flower motifs from a mythic image based on archetypal symbols about the Saengbul flower, and created mythic patterns. In order to achieve this textile pattern design, Adobe CS5(Photoshop, Illustrator) and Texpro were used to design the motifs of Saengbul flower, and then they were arranged in a square pattern and diamond pattern of Richard M. Proctor' set layout. And to conclude, development of the creative textile pattern design using the mythic contents of the Jeju Myth contribute to invigoration the fashion industry and regional culture contents projects in Jeju, and also become the basis of creating added valued to it.