• International journal of advanced smart convergence
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• 제9권1호
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• pp.209-214
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• 2020

Mental health issues related to depression and individual's patterns of interest impact development. This study is to identify patterns of interest and their effects on depressive symptoms in young adults. This cross-sectional study involved 40 participants. The participants were assessed for depressive symptoms, patterns of interest in daily life, and social participation. The depressive symptoms and patterns of interest were assessed by a well-trained interviewer using a face-to-face method. Descriptive statistics, correlation analysis, and logistic regression analysis were implemented using SPSS 22.0. In terms of depressive symptoms, 32.5% of participants reported no depression, while 67.5% were depressed. When comparing interest patterns from the past, present, and future, the degree of depression was significantly correlated with interests in the past (p<.05). The effect of patterns of interest on depressive symptoms was not statistically significant (p>.05). Participation in a variety of activities can help prevent depressive symptoms. Participation in activities of interest can, therefore, be of great help during middle- and late-adult development.

• 한국의류학회지
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• 제44권6호
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• pp.1053-1069
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• 2020

This study examined the sales pattern relationship with respect to product attributes to propose sales forecasting for fashion products. We analyzed 537 SKU sales data of T-shirts in the domestic sports brand using SAS program. The sales pattern of fashion products fluctuated and were influenced by exogenous factors; therefore, we removed the influence of exogenous factors found to be price discounts and holiday effects as a result of regression analysis. In addition, it was difficult to predict sales using the sales patterns of the same product since fashion products were released as new products every year. Therefore, the forecasting model was proposed using sales patterns of related product attributes when attributes were considered descriptive variables. We classified sales patterns using K-means clustering in order to explain the relationship between sales patterns and product attributes along with creating a decision tree classifier using attributes as input and sales patterns as output. As a result, the sales patterns of T-shirts were clustered into six types that featured the characteristic shape of peak and slope. It was also associated with the combination of product attributes and their values in regards to the proposed sales pattern prediction model.

• 한국의류산업학회지
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• 제6권1호
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• pp.17-22
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• 2004

The purpose of this study was to obtain the basic element of patterns, which is the motif, from the existing art works and use it to create and simulate a variety of patterns to show the practical use of the computer. Natural dyed works of geometric shapes like squares and 1/4 of circles, each dyed with a different natural dyes, were produced and motifs were extracted. Then using the 4D box in Adobe Photoshop v.6.0, the developing pattern change and simulation effects when using different patterns and different repetition settings were examined. Observations were made as the motifs were replicated. Different patterns like a diagonal line, a square and a circle appeared. In order to find out the effects according to the changes, the motifs from work's square portions, circle centre, and the composition of eight motifs were extracted and used. The repeated patterns according to the extracted motifs simply showed that in the case of just repeating and arranging, square patterns appeared. By replicating and arranging, the motif and the allophone were matched and patterns with regular lines were formed, like a twill, pointed twill line. By setting the direction to Y and X in the repetition methodes, a typical half-drop arrangement or a brick pattern arrangement were formed according to 1/4, 2/4, 3/4, 1/3, or 2/3 in changes. Also the steepness of the slope changes quickly or in turn slowly as the rhombus shape appears. However in the case of a composed motif, an ogee pattern appeared. Lastly, by 3-D mapping patterns like a slant line, pointed twill patterns, diamond patterns, and the repeat patterns of a motif with a circle and a line combined, and a circle motif, an optical illusion could be observed.

• 복식
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• 제59권9호
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• pp.1-15
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• 2009

This study aimed to create a new costume design suitable for publicizing our traditional patterns in the world by using the traditional patterns of Northeast Asia region. The result of this study can be summarized as follows. First, China is characterized by a strictly fixed configuration and a realistic description, Japan a simplistic modality and an abstract-geometrical pattern, and Korea a eclectic type, whole-pattern, and part-pattern. This study aimed to make the pattern by using harmoniously these characters. Second, Korea, China, and japan have many similarities concerning a symbolism and a type of pattern. In the modern fashion, they often use dragon patterns, various flower patterns like peony, plum blossom, or mum, and geometrical patterns. This study focused on expressing patterns which contain the ornamental symbolism of Oriental Look, aside from an existing symbolism, and show a traditional sentiment of Northeast Asia. The method for expressing traditional patterns usually included weaving, dyeing, embroidery, or gold foil. Although these methods have been used in all the three nations, even rubbed metal foil and patchwork have been widely used in Japan.

• 복식문화연구
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• 제19권4호
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• pp.661-673
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• 2011

This study aimed to identify the intrinsic characteristics of camouflage patterns by reviewing their origin, transitions and types from a theoretical background and analyzing their forms of expression in contemporary fashion. For a literature review and an empirical analysis of the camouflage patterns used in contemporary fashion, the study referred to domestic and foreign fashion magazines published between 2000 S/S and 2010 S/S, including Gap Press, Fashion News, Vogue and Harper's Bazaar, and other related data available on the internet. The findings of this study show that the forms of camouflage patterns used in contemporary fashion can be divided into four types: abstract patterns, plant patterns of flowers or leaves, animal patterns and dotted patterns. In terms of coloration, the camouflage patterns work to refresh the design, breaking from the image of military uniforms through the use of a wide range of color variation and combinations as well as the traditional camouflage colors based on khaki and beige. In terms of expression, most of them utilize printing. However, other techniques of expression, such as embroidery, beading, knitting, and collages are used to emphasize the beauty of handcrafted decorations along with the aesthetic value of reliefs. Through these tendencies of expression, the characteristics of contemporary fashion using camouflage are explained with an emphasis on feminine beauty, the expression of neutrality, and the use as decorative factors.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.208-212
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• 1998

This paper suggests the method to recognize the various defect patterns of cold mill strip using binary decision tree constructed by genetic algorithm automatically. In case of classifying the complex the complex patterns with high similarity like the defect patterns of cold mill strip, the selection of the optimal feature set and the structure of recognizer is important for high recognition rate. In this paper genetic algorithm is used to select a subset of the suitable features at each node in binary decision tree. The feature subset of maximum fitness is chosen and the patterns are classified into two classes by linear decision function. After this process is repeated at each node until all the patterns are classified respectively into individual classes. In this way , binary decision tree classifier is constructed automatically. After construction binary decision tree, the final recognizer is accomplished by the learning process of neural network using a set of standard p tterns at each node. In this paper, binary decision tree classifier is applied to recognition of the defect patterns of cold mill strip and the experimental results are given to show the usefulness of the proposed scheme.

• 대한간호학회지
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• 제23권1호
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• pp.130-141
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• 1993

This study was to find out variables influenced on the medication patterns (voluntary medication, in-voluntary medication) of antipsychotics taken by schizophrenic outpatients. Purposes of this study were to be identified that there was the significant difference between the group of voluntary medication and involuntary, and that which variables had infuence on outpsychotics medication. The sample consisted of 30 patients takeing their pills voluntary (voluntary medication group), and 15 patients involuntary(involuntary medication group) at a psychiatry hospital and a psychiatric unit of a The findings of the study are as follows : university hospital in Daegu. Data were collected from September to October, 1991 through interview using questionare about antipsychotics medication. Data were analyzed by the technique of two group discriminant function analysis using SPSS pc$^{+}$ 1) Discriminant function discriminating between voluntary medication and involuntary medication was significant at the level of 10% significance (sig.=.055, p〈.10) Hit-ratio was very high (91. 1％) 2) One of General variables, SEX, was significant of discriminating between two medication patterns at the level of 10% significance. 3) One of Family Environmental Variables, BROTH(a number of brother), were significant between two medication patterns. (p〈.10) 4) One of Therapeutic Environmental Variables, FAMHX, was significant between two medication patterns at the level of 10% significance. 5) One of Variables Related to Drug and Medication, NECESS, was significant between two medication patterns. (p〈.05) 6) Variables Related to Disease was not significant between two medication patterns.s.

• 한국콘텐츠학회논문지
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• 제2권1호
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• pp.68-76
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• 2002

클러스터링은 부품 분류의 대표적인 방법인데, 클래스나 모듈의 응집도와 결합도를 이용한 기존의 클러스터링 방법은 클래스간의 관계에 중점을 둔 디자인 패턴을 기존의 클러스터링 방법을 이용하는 것은 효과적일 수 있다. 본 논문에서는 디자인 패턴을 분류하기 위해 패턴 구조의 특성을 가지고 분류하였다. 그리고 클러스터링에 의한 분류는 패싯 분류에 의한 방법보다 높은 정확도를 보여주었다. 따라서 자동화된 분류방법인 클러스터링 알고리즘을 사용하여 디자인 패턴을 분류하는 것이 효과적이라 할 수 있다. 디자인 패턴의 분류는 검색 시 유사한 패턴들이 같은 카테고리에 저장이 되므로 유사 패턴을 비교하여 사용할 수 있으며, 패턴 클러스터링에 의해 분류되고, 패턴의 링크정보를 이용하여 저장하므로 저장소를 효율적으로 관리할 수 있다.

• 한국통신학회논문지
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• 제16권12호
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• pp.1357-1365
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• 1991

본 논문은 비주기 주파수 도약 확산 시스템(FH/SSMA)에 있어서 주파수 도약 패턴의 요소간, 치환을 이용한 새로운 주파수 도약 패턴 발생 방법을 제안하고, 종래 방법과 비교 검토한다. 제 1방법은 Latin Square에 의한 발생법을 이용하였다. 제2방법은 유한체의 요소를 이용한 치환방법을 설계하였다. 제 3방법에서는 유한체의 기준 집합 요서의 치환 base를 이용하여 발생법을 설계하였다. 평가를 위하여 주기/비주기성의 시간-주파수 변환에 의한 도약 패턴간의 힛트에 대해서 검토하였다. 검토 결과, 종래의 RS계열을 이용한 패펀보다 비주기성의 시간-주파수에 의한 힛트면에서 제2발생 방법이 좋은 결과를 얻었다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 1999년도 학술대회논문집-국제 전기방전 및 플라즈마 심포지엄 Proceedings of 1999 KIIEE Annual Conference-International Symposium of Electrical Discharge and Plasma
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• pp.132-135
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• 1999

In this work, two approaches were proposed for the recognition of partial discharge patterns. The first approach was neural network with backpropagation algorithm, and the second approach was angle calculation between two operator vectors. PD signal were detected using three electrode systems; IEC(b), needle-plane and CIGRE method II electrode system. Both of neural network and angle comparison method showed good recognition performance for the patte군 similar to the trained patterns. And the number of operators to be used had a great influence on the recognition performance to the untrained patterns.