• International Journal of Contents
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• v.2 no.3
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• pp.11-17
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• 2006

The Clustering is representative method of components classification. The previous clustering methods that use cohesion and coupling cannot be effective because design pattern has focused on relation between classes. In this paper, we classified design patterns with features of object-oriented relationship. The result is that classification by clustering showed higher precision than classification by facet. It is effective that design patterns are classified by automatic clustering algorithm. When patterns are retrieved in classification of design patterns, we can use to compare them because similar pattern is saved to same category. Also we can manage repository efficiently because of storing patterns with link information.

• Journal of Oriental Neuropsychiatry
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• v.28 no.4
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• pp.349-358
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• 2017

Objectives: To analyze whether a concept similar to Korean 'Hwabyung' exists in China. We investigated the status of clinical studies conducted in China for relevant diseases and trends of the traditional Chinese medicinal (TCM) treatment adopted in clinical studies. Methods: To explore the concept of a condition similar to Korean Hwabyung in China, we searched for the existence of concept and pattern that were parallel or similar to those of Hwabyung in TCM text-books and diagnostic guidelines. We searched and analyzed clinical studies of TCM treatment for depression syndrome similar to Hwabyung from CNKI using terms 'depression' and 'qi stagnation transforming into fire'. Using extracted data, characteristics of clinical research, herbal medicine, and acupuncture treatment used in the clinical research and their effects were systematically reviewed. Results: Symptoms of 'qi stagnation transforming into fire' were most similar to those of Hwabyung. Nine articles were selected from a total 258 articles. Most of them used DSM-IV or CCMD-3 for depression diagnosis. They applied 'diagnostic and efficacy guidelines for TCM diseases and syndromes' for pattern diagnosis of 'qi stagnation transforming into fire'. Danzhixiaoyao-san and Jiaweixiaoyao-san were found to be effective when they were used alone or in combination with antidepressants. Acupuncture treatment also showed remarkable effect on LR3, HT7, LI4, PC6, GV20 when it was used alone or in combination with antidepressants. However, careful interpretation is required because a small number of studies are included.Conclusions: 'Qi stagnation transforming into fire' seemed to have symptoms similar to Hwabyung. However, further research is needed to determine its diseases and pattern types compared to Hwabyung. According to included studies of 'depression with Qi stagnation transforming into fire', herbal medicine and acupuncture treatment tended to be effective in relieving depressive symptoms. However, more discussion is required for future application of herbal medicine and acupuncture for treating Hwabyung.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.11
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• pp.596-603
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• 2004

This paper proposes an expert system based on the pattern recognition method which can enhance the accuracy and effectiveness of real-time bus reconfiguration strategy for the transfer of faulted load when a main transformer fault occurs in the automated substation. The minimum distance classification method is adopted as the pattern recognition method of expert system. The training pattern set is designed MTr by MTr to minimize the searching time for target load pattern which is similar to the real-time load pattern. But the control pattern set, which is required to determine the corresponding bus reconfiguration strategy to these trained load pattern set is designed as one table by considering the efficiency of knowledge base design because its size is small. The training load pattern generator based on load level and the training load pattern generator based on load profile are designed, which are can reduce the size of each training pattern set from max L/sup (m+f)/ to the size of effective level. Here, L is the number of load level, m and f are the number of main transformers and the number of feeders. The one reduces the number of trained load pattern by setting the sawmiller patterns to a same pattern, the other reduces by considering only load pattern while the given period. And control pattern generator based on exhaustive search method with breadth-limit is designed, which generates the corresponding bus reconfiguration strategy to these trained load pattern set. The inference engine of the expert system and the substation database and knowledge base is implemented in MFC function of Visual C++ Finally, the performance and effectiveness of the proposed expert system is verified by comparing the best-first search solution and pattern recognition solution based on diversity event simulations for typical distribution substation.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.1
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• pp.112-127
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• 2002

A useful pattern is a pattern that contributes much to learning. For a classification problem those patterns near the class boundary surfaces carry more information to the classifier. For a regression problem the ones near the estimated surface carry more information. In both cases, the usefulness is defined only for those patterns either without error or with negligible error. Using only the useful patterns gives several benefits. First, computational complexity in memory and time for learning is decreased. Second, overfitting is avoided even when the learner is over-sized. Third, learning results in more stable learners. In this paper, we propose a pattern 'utility index' that measures the utility of an individual pattern. The utility index is based on the bias and variance of a pattern trained by a network ensemble. In classification, the pattern with a low bias and a high variance gets a high score. In regression, on the other hand, the one with a low bias and a low variance gets a high score. Based on the distribution of the utility index, the original training set is divided into a high-score group and a low-score group. Only the high-score group is then used for training. The proposed method is tested on synthetic and real-world benchmark datasets. The proposed approach gives a better or at least similar performance.

• The Research Journal of the Costume Culture
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• v.21 no.1
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• pp.93-116
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• 2013

This paper explored and compared the textile pattern and motive design of fashion designers' brands and H&M collaboration collections. In particular, this study put it focus on textile pattern design of seven fashion design brands such as Roverto Cavalli and Versace, etc., which were collaborated with H&M. The color, motive type, motive layout, motive expression, and pattern drawing technique were collected from fashion internet sites over the five year period, and then were cross-sectionally examined and compared based on their color, motive type, motive layout, motive expression, and pattern drawing technique of products between fashion designers' brands and H&M collaboration collections. The analyses showed the following results: First, the similar color, motive type, motive layout, motive expression, and pattern were found between fashion designers' brands and H&M collaboration collections, in order to show the perspective texture of products to consumers. Second, H&M collaboration brands demonstrated unique textile design of H&M rather than the trendy design patterns. Finally, the textile design pattern used in H&M collection was more restricted in terms of motive expression technique and chromaticity than that used in fashion designers' brands.

• Journal of Korean Society of Rural Planning
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• v.14 no.1
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• pp.1-7
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• 2008

Recently, brick pavement were widely introduced on the pavement in rural area. A variety of vision effects can be created from patterns of brick pavement. However, in most of brick pavement works, human psychological characteristics were not concerned. The purpose of this research was to discover psychological effect on brick pavement pattern. The results of the research can be summarized as follows: 1)Psychological impression on brick pavement pattern is similar among man and woman groups. 2)Stack bond and running bond pattern have a simple, relaxed, organized, and comfortable psychological characteristics. Basket weave & stack bond pattern has a simple and organized psychological characteristic. Herringbone bond pattern has a complex, dislike and uncomfortable psychological characteristic. Pinwheel bond pattern has a highly complex psychological characteristic. Basket weave and Basket weave variation bond pattern have a common psychological characteristic. 3)Employment of brick pavement pattern on this research is not highly preferred, hence it is necessary to develop a brick pavement patterns that have human psychological characteristics be concerned.

• Journal of Korean Medicine Rehabilitation
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• v.20 no.2
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• pp.89-99
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• 2010

Objectives : This study was designed to analyze the pattern of asymmetrical alignment. Methods : This study was carried out with the data from comprehensive medical testing. 91 subjects aged 30-39 were evaluated by full spine AP X-ray. For pelvis, innominate measurement(IM), off centering measurement(OCM), ilium shadow measurement(ISM), major axis of obturator foramen(MaF), minor axis of obturator foramen(MiF) were analyzed. Spinal curvature and height of shoulder girdle were analyzed. Results : 1. In pelvis, It. posterior-inferior and it. inflare combination pattern was 38 cases(42.8%). 2. In spinal curvature, "reverse S" curve was 45 cases(49.4%) and "reverse C" curve was 30 cases(33%). 3. In shoulder girdle, It. superior pattern was 42 cases(46.1 %) and It. superior pattern was 39 cases(42.9%). 4. In whole body analysis, It. posterior-inferior and It. inflare pelvis, "reverse S" spinal curvature and It. superior shoulder girdle combination patten was 11 cases(12.1 %). This pattern is similar to Kendall's right handedness pattern and Zink's common compensatory pattern. Conclusions : Results from this investigation showed asymmetrical alignment in 30-39 years-old adults. This results are expected to contribute to classifying the alignment pattern in clinic and systemic treatment.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.211-223
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• 2018

To understand the meaning of data is a common goal of research on unstructured data. Among these unstructured data, there are difficulties in analyzing the meaning of unstructured data related to corpus and sentences. In the existing researches, the researchers used LSA to select sentences with the most similar meaning to specific words of the sentences. However, it is problematic to examine many sentences continuously. In order to solve unstructured data classification problem, several search sites are available to classify the frequency of words and to serve to users. In this paper, we propose a method of classifying documents by using the frequency of similar words, and the frequency of non-relevant words to be applied as weights, and storing them in terms of a multi-pattern storage. We use Tensorflow's Softmax to the nearby sentences for machine learning, and utilize it for unstructured data analysis and the inference of traffic information.

• International Journal of Highway Engineering
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• v.14 no.4
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• pp.163-173
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• 2012

PURPOSES : The purpose of this study is to check the possibilities of traffic pattern analysis using MatSIM for urban road network operation in incident case. METHODS : One of the stochastic dynamic models is MatSIM. MatSIM is a transportation simulation tool based on stochastic dynamic model and activity based model. It is an open source software developed by IVT, ETH zurich, Switzerland. In MatSIM, various scenario comparison analyses are possible and analyses results are expressed using the visualizer which shows individual vehicle movements and traffic patterns. In this study, trip distribution in 24-hour, traffic volume, and travel speed using MatSIM are similar to those of measured values. Therefore, results of MatSIM are reasonable comparing with measured values. Traffic patterns are changed according to incident from change of individual behavior. RESULTS : The simulation results and the actual measured values are similar. The simulation results show reasonable ranges which can be used for traffic pattern analysis. CONCLUSIONS : The change of traffic pattern including trip distribution, traffic volumes and speeds according to various incident scenarios can be used for traffic control policy decision to provide effective operation of urban road network.

• The Journal of the Korea Contents Association
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• v.2 no.1
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• pp.68-76
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• 2002

Clustering is representative method of components classification. But, previous clustering method that use cohesion and coupling can not be effective, because design pattern has consisted by relation between classes. In this paper, we classified design patterns with special quality of pattern structure. Classification by clustering had expressed higher correctness degree than classification by facet. Therefore, can do that it is effective that classify design patterns using clustering algorithms that is automatic classification method. When we are searching design patterns, classification of design patterns can compare and analyze similar patterns because similar patterns is saved to same category. Also we can manage repository efficiently because of using and storing link information of patterns.