• International Journal of Automotive Technology
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• v.7 no.1
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• pp.101-107
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• 2006

The force and moment simulation of a steady-state rolling tire taking the effect of tread pattern into account is described using a steady-state transport method with ABAQUS. Tread meshes can not fully consider a tread pattern because detailed tread meshes are not allowed in the steady-state transport method. Therefore, the tread elements are modeled to have orthotropic property instead of isotropic property. The force and moment simulation has been carried out for the cases of both isotropic and orthotropic properties of tread elements. Both cases of simulation results are then compared with the experimental results. It is verified that the orthotropic case is in a better agreement with the experimental result than the isotropic case. Angle effects of tread pattern have been studied by changing the orientation angle of orthotropic property of tread. It is shown that the groove angle in the tread shoulder region has a more effect on force and moment of a tire than that in the tread center region.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1997.11a
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• pp.451-455
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• 1997

The partial discharge has been blown as the chief breakdown of power equipments. The analysis and the recognition is much difficult because the partial discharge signal is very small and has complex aging pattern. Recently, insulation aging diagnosis based on pattern of phase(Ф), partial discharge magnitude(q), number(n) has been very important. Owing to depreciate the reappearance of aging progress at the electrical tree pattern and to be difficult to analyze visually, the study on partial discharge pattern is suggested to normalizing analysis method of partial discharge signals. This parer is purposed on prediction of life-time measurement of cv-cable, on decision of risk degree with normalization and real-time measurement of partial discharge signals for aging diagnosis of cv-cable. As normalizing the aging signals of electrical tree in cv-cable, it is able to confirm risk degree of insulation material with the distribution of Ф-q-n and recognize the process of aging pattern using neural network.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.39-48
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• 2020

Data mining techniques have been suggested to find efficiently meaningful and useful information. Especially, in the big data environments, as data becomes accumulated in several applications, related pattern mining methods have been proposed. Recently, instead of analyzing not only static data stored already in files or databases, mining dynamic data incrementally generated in a real time is considered as more interesting research areas because these dynamic data can be only one time read. With this reason, researches of how these dynamic data are mined efficiently have been studied. Moreover, approaches of mining representative patterns such as maximal pattern mining have been proposed since a huge number of result patterns as mining results are generated. As another issue, to discover more meaningful patterns in real world, weights of items in weighted pattern mining have been used, In real situation, profits, costs, and so on of items can be utilized as weights. In this paper, we analyzed weighted maximal pattern mining approaches for data generated incrementally. Maximal representative pattern mining techniques, and incremental pattern mining methods. And then, the application scenarios for analyzing the required commodity patterns in infants are presented by applying weighting representative pattern mining. Furthermore, the performance of state-of-the-art algorithms have been evaluated. As a result, we show that incremental weighted maximal pattern mining technique has better performance than incremental weighted pattern mining and weighted maximal pattern mining.

• Journal of Information Technology Applications and Management
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• v.17 no.1
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• pp.127-139
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• 2010

Customer behavior pattern discovery is the fundament for conducting customer oriented services and the services management. But, the composition, need, interest and experience of customers may be continuously changing, thereof lead to the difficulty in refining a stable description of their consistent behavior pattern. This paper presented a new method for the behavior pattern discovery from a changing collection of customers. It was originally inspired from the swarm intelligence of ant colony. By the adaptive clustering, some typical behavior patterns which reflect the characteristics of related customer clusters can extracted dynamically and adaptively.

• Journal of the Korea Fashion and Costume Design Association
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• v.1 no.1
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• pp.141-156
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• 1999

This paper is to analyze the classification of textile pattern design focusing on the 19th century in England. The purpose of this study is. firstly to research the thoughts and ideas of these design in the time of mid-Victorian age; Secondly. to classify the textile pattern design from many points of view. We could find such William Morris's thought and ideas of 19th century to reform from textile pattern design. We wish to use these studies for textile pattern designers to develop this tradition onward to modern and future trends.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.4
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• pp.305-312
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• 2014

In this study, in order to quantitatively confirm walking rehabilitation degree, we analyzed EMG pattern simulated abnormal gait and normal gait by applying a curve fitting. We calculated the suitable high-order function for EMG signal, and classified them into 5 groups by using cluster analysis. Depending on the distance from normal pattern group, we listed the pattern group and then the distribution of each variables were confirmed. The amplitude-decreased pattern was the most similar to the normal pattern, but the reversed pattern showed the lowest similarity. Due to the smaller overlapping range, the distribution of the groups were possible to classify using the value of variable. The standard deviation of each term coefficient was compared to indicate the quantitative rehabilitation extent, and the higher value was confirmed as the pattern is close to the normal pattern. Consequently, the representation of quantitative rehabilitation extent is expected to contribute to the more effective rehabilitation method study.

• Fashion & Textile Research Journal
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• v.13 no.1
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• pp.116-129
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• 2011

The purpose of this study is to research on changes of body surface according to golf movements in designs of golf slacks pattern and reflect it to designs of golf slacks pattern to enhance adaptability. For the first stage of this study, length of body surface was analyzed by using 3D body shape. In second stage, analysis of wearing test of golf slacks is performed to extract major pattern design factor of golf slacks and then research patterns were designed. In third stage, 4 differently designed 1st, 2nd slacks were used for analysis of 3D Clothing air volume. The results of this research is as follow. The variation rate of body surface length according to golf swing posture resulted the longest on back swing posture and follow through posture. Waist circumference-omphalion, thigh and ankle circumference increased more than 10% of body surface during golf swing. Front waist circumference-omphalion, right waist to hip length, left waist to hip length and right back center length were decreased more than 10%. As a result of analysis on measurements of 1st slacks pattern design, waist front center getting in values, waist front center going down value, front hip width, and front crotch extension had similar industrial pattern design. Back center line angle, back crotch extension, and knee center point~back waist center point had significant differences. The designs and ease proposed for golf slacks pattern in this study are waist circumference 75.5 cm(1.8 cm, 2.38%), hip circumference 95 cm(2 cm, 2.11%), crotch length(front: -0.8 cm, -1.25%; rear: -1.8 cm, -2.83%), slacks length 96c m, gradient of C.B.L $10^{\circ}$, crotch extension (back 9.2~10.4 cm, front 3.2 cm).

• Journal of Digital Convergence
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• v.11 no.7
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• pp.165-171
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• 2013

Coding patterns that appeared frequently in the source code is a typical piece of code. The functionality that difficult to modularize, such as logging or synchronization processing, and the useful sentences in programming is extracted in software as codding pattern. Large-scale software could not be analyzed fully because the number of coding pattern that can be manually investigated is limited. In this paper, the characteristics of coding patterns perform the evaluation. The goal is to extract for codding-pattern to analyzed by developer. We was selected 6 indicators and performed analysis of 4 open-source. Matrix relations between the values and characteristics of the actual pattern analysis, pattern instances, the width of the distribution of instances, the pattern repeating structure of the elements included in the rates should be analyzed for patterns and indicators that help in choosing was confirmed.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.927-934
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• 2021

AI(Artificial intelligence) is gradually taking up a large part of our lives, and the pace of AI development is accelerating. It is called ACT that develop students' computational thinking in the way artificial intelligence learns. Among ACTs, pattern recognition is an essential factor in efficiently solving problems. Pattern analysis is part of the pattern recognition process. In fact, Netflix's personalized movie recommendation service and what it named Covid-19 after repeated symptoms are all the results of pattern analysis. While the importance of ACT, including pattern recognition, is highlighted, software education for kindergarten and elementary school lower grades is much insufficient compared to foreign countries. Therefore, this study aims to design and develop textbooks for the development of artificial intelligence-based computational thinking through pattern analysis for kindergarten students.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.26 no.2
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• pp.121-129
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• 2016

The noise pattern of a household refrigerator is dependent on the characteristics of its operating cycle which is repeated with a specific pattern depending on various parameters, such as room temperature and performance of its mechanical parts. Analysis of noise pattern is essential prior to evaluation of sound quality of a refrigerator. In this study, 14 units of refrigerator were classified into 4 types according to noise pattern and sort of mechanical part, which helps to analyze characteristics of refrigerator noise. Sound quality metrics(loudness, sharpness, roughness, and fluctuation strength) were calculated to compare noise pattern of the 4 types of refrigerator. The results of this study can be useful to decide noise performance of refrigerator.