• Journal of the Korean Society of Fashion and Beauty
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• v.5 no.1 s.12
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• pp.87-96
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• 2007

Patterns have their own shapes and characteristics as a symbol in accordance with in what environment they are like a language. Especially our ancestor had wished present values as like riches and honors, longevity and health, love and happiness through all kinds of patterns of animals, plants, the sun, the moon, cloud, water and mountain, and expressed an aesthetic consciousness. Pattern design is important in fashion but it is insufficient in terms of the development of modern patterns based on Korean traditional patterns. Therefore, We need to create new senses and thoughts through the understanding and re-analysis about Korean traditional costume and a study on optical patterns could give an extreme effect without any changes of silhouette. Especially, Emilio Pucci and Missoni have been developing a variety of Pattern designs even though there are different tendencies each other. Consequently it could be a good chance to show Korean images and originality that develope the various textile patterns with applying to Korean traditional patterns based on an analysis of their works.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.594-597
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• 2007

We present in this paper a novel mid and long term power load prediction method using temporal pattern mining from AMR (Automatic Meter Reading) data. Since the power load patterns have time-varying characteristic and very different patterns according to the hour, time, day and week and so on, it gives rise to the uninformative results if only traditional data mining is used. Also, research on data mining for analyzing electric load patterns focused on cluster analysis and classification methods. However despite the usefulness of rules that include temporal dimension and the fact that the AMR data has temporal attribute, the above methods were limited in static pattern extraction and did not consider temporal attributes. Therefore, we propose a new classification method for predicting power load patterns. The main tasks include clustering method and temporal classification method. Cluster analysis is used to create load pattern classes and the representative load profiles for each class. Next, the classification method uses representative load profiles to build a classifier able to assign different load patterns to the existing classes. The proposed classification method is the Calendar-based temporal mining and it discovers electric load patterns in multiple time granularities. Lastly, we show that the proposed method used AMR data and discovered more interest patterns.

• Journal of Environmental Impact Assessment
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• v.20 no.3
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• pp.299-311
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• 2011

The objective of this paper is to present a methodology for the classification of spatial patterns considering the parameters of urban form which play a significant role in the formation of the urban climate. The urban morphological parameters, i.e. building coverage, impervious pavement, vegetation, water, farmland and landuse types were used to classify the spatial patterns by a K-means cluster analysis. And the presented methodology was applied on Changwon city, South Korea. According to the results of cluster analysis, the total spatial patterns were classified as 24 patterns. First of all, The spatial patterns(A-1, A-2, A-3, B-1, B-2, B-3, C-1, C-2, C-3, D-1, D-2, D-3, E-1, E-2, E-3, F-1, F-2, F-3, G-1, G-2, G-3), which distributed in the rural area and the suburban area, can have the positive impacts of cold air generation and wind corridor on an urban climate environment, were distributed in the rural area. On the other hand, the spatial patterns of the downtown area including A-4, B-4, C-4 and D-4 are expected to have the negative impacts on urban climate owing to the of artificial heat emission or the wind flow obstruction. Finally, it will require the future research to analysis the climatic properties according to the same spatial patterns by the field survey.

• Journal of Family Relations
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• v.23 no.1
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• pp.25-51
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• 2018

Objectives: The aim of this study is to identify patterns of gender role attitude among older men and women and to investigate the effects of the identified patterns on marital quality for each gender. Method: The Third National Survey of Korean Families was utilized and 981 men and 752 women aged 60 and above, who have been married for over 20 years and have at least one child, were analyzed. Using Mplus 7.3, a latent profile analysis (LPA) identified latent profiles of gender role attitude for each gender. Then, using SPSS 23.0, multiple regression analysis analyzed the effects of the identified patterns on both marital satisfaction and marital conflict. Results: The latent profile analysis identified two patterns of traditional and partially egalitarian gender role attitudes each for the older men and women. Also, means on items relevant to the male breadwinner model and the male-oriented family culture were relatively low for both men and women regardless of the patterns. For the older men, the effects of the gender role attitude patterns on marital satisfaction and marital conflict were both significant; those individuals with the partially egalitarian gender role attitude pattern reported higher levels of marital satisfaction and lower levels of marital conflict than those individuals with the traditional gender role attitude pattern. However, the effects of the gender role attitude patterns on marital satisfaction and marital conflict were both not significant for the older women. Conclusions: The findings from this study suggest that political interventions are required to promote an egalitarian family culture for older adults. Moreover, its findings may be useful in the field of marriage and family therapy to develop educational programs that seek to improve marital quality in later life.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.355-363
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• 2005

The adjectives for represnting emotions is important to evaluate and select the colors or color patterns. In this paper, we perform the MDS analysis, factor analysis, and cluster analysis to the Soen's experimental data obtained from the evaluation of random color patterns with 13 adjective pairs. As a result, those adjectives can be reduced 3 different factors representing emotions of weight, activity and temperature, which is approximately corresponds the results of previous researches on single colors. Also, we show that the adjectives for preference can be approximate4 by other primary adjectives for color patterns using regression analysis. This implies that one can construct a uniform emotion space for evaluating and selecting color patterns regardless of objects such as wall papers, carpets, and so on.

• Water Engineering Research
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• v.1 no.2
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• pp.107-117
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• 2000

Streamflow patterns at two gauging stations in Korea, An-Dong dam and Chung-Ju dam, are statistically analyzed in relation to EI Nino/Southern Oscillation (ENSO). As a measure of ENSO, the Southern Oscillation Index (SOI) is used on a monthly and seasonal basis. The traditional correlation analysis shows that cross correlations of the SOI with the seasonal streamflow are generally weak. To investigate the relationship between the extreme values of the SOI, which represent the EI Nino and La Nina events, and the corresponding streamflow patterns, the composite analysis is employed in this study. The composite analysis demonstrates that when EI Nino occurs, seasonal streamflows at An-Dong and Chung-Ju dams during the period from September of the EI Nino year to February of the following year appear to be drier than their means.

• KIEAE Journal
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• v.12 no.2
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• pp.77-82
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• 2012

Data mining is to discover problems in the large amounts of data. Also, data mining trying to find the cause of the problem and the structure. Building energy consumption patterns, the amount of data is infinite. Also, the patterns have a lot of direct and indirect effects. Discussion is needed about the correlation. This work looking for the cause of energy consumption. As a result, energy management can find out the issue. Building energy analysis utilizing data mining techniques to predict energy consumption. And the results are as follows: 1) Using data mining technique, We classified complicated data to several patterns and gained meaningful informations from them. 2) Using cluster analysis, We classified building energy consumption data of residents and analyzed characters of patterns.

• Genomics & Informatics
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• v.4 no.4
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• pp.173-181
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• 2006

Pattern finding is one of the important tasks in a protein or DNA sequence analysis. Alignment is the widely used technique for finding patterns in sequence analysis. BLAST (Basic Local Alignment Search Tool) is one of the most popularly used tools in bio-informatics to explore available DNA or protein sequence databases. BLAST may generate a huge output for a large sequence data that contains various sequence patterns. However, BLAST does not provide a tool to summarize and analyze the patterns or matched alignments in the BLAST output file. BLAST lacks of general and robust parsing tools to extract the essential information out from its output. This paper presents a pattern summary system which is a powerful and comprehensive tool for discovering pattern structures in huge amount of sequence data in the BLAST. The pattern summary system can identify clusters of patterns, extract the cluster pattern sequences from the subject database of BLAST, and display the clusters graphically to show the distribution of clusters in the subject database.

• Journal of the Korea Fashion and Costume Design Association
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• v.2 no.1
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• pp.21-35
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• 2000

The purpose of this study was to evaluate the preference of image for modern application of Korean traditional patterns. A survey was conducted using the randomly selected 292 undergraduate women students of Taegu city. The degree of interest and preference in Korean traditional style or something like that had measured by 5 scale method. And then they had two groups which are interest/non-interest group, and preference/non-preference group in Korean traditional style. Also, preference of Korean traditional patterns was measured by 5 scale method. The image of Korean traditional patterns consisted of semantic differential scales. Analysis was by frequency, percentage, and mean. For difference of groups analysis was by t-test. The results were as follows:1. For the survey, 53.8% showed the interest and 40.4% did the preference for the traditional patterns. There was the positive correlation(0.782) between the degree of the interest and preference. 2. Among twenty traditional patterns, the patterns of plants and nature were very preferred, but the patterns of geometrical things was not preferred. 3. For the nature pattern, the image seemed to be elegant and feminine(womanly). For the plant pattern, the image seemed to be feminine, neat, weak, light and mild. For the animal pattern, the image seemed to be heavy, gorgeous, deluxe, virile(manly), strong and active. Last, for the geometrical pattern, the image seemed to be elegant, deluxe, rigid and strong. 4. Between the interest／non­interest groups, there was the significant difference in pattern of cloud, mountain, lotus flower, plum blossoms, orchid, dragon, chinese phoenix and bogy. Especially, for the orchid pattern, the preference difference between these groups was large. 5. For the plant pattern, the image difference between these groups was very large as the elegant-rustic image. Especially, the interest group evaluated as the elegant image. 6. Between the preference／non­preference groups, there was the strongly significant difference in the preference for the orchid pattern. 7. For the geometrical pattern, the image difference between these groups was very large as the mild­cold image. Especially, the preference groups evaluated as the cold image.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.2
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• pp.61-82
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• 2023

This is a study about the patterns depicted on the reliefs at Taq-i Bustan built during the Sasanian Dynasty of Persia. This study aims to understand the costume culture of the Sassanian Dynasty by analyzing the patterns depicted on the reliefs at Taq-i Bustan. As a research method, a literature survey and a comparative analysis of empirical data collected through historical site exploration was synthesized. The results of this study are as follows: Patterns appearing on the reliefs at Taq-i Bustan include pearl patterns, flower patterns, and animal patterns such as ducks, boars, and simurghs. The themes of these patterns appear differently depending on the social status, so it is assumed that the patterns were used as a means of symbolizing social status in the Sasanian Dynasty. The pearl pattern was a typical pattern that appeared in royal iconography, and the flower pattern appeared in multiple variations, and was a pattern commonly observed in the kings and his servants. Among the animal patterns, the Simurgh(Semurv) pattern is a representative pattern, which symbolizes the fertility and fecundity of the earth and this pattern was observed only on the clothes of kings. Therefore, the Simurgh(Semurv) pattern was understood as a pattern symbolizing the king's wish for the well-being of nature and the people. The patterns of other animals were mainly observed on the king's servants. Through the analysis of the patterns depicted on the reliefs at Taq-i Bustan, the life and the social aspects of the Sassanian Dynasty could be examined.