• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1579-1582
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• 2005

Polishing is cutting process that polished workpiece by relative motion of abrasive grain between polishing tool and workpiece. According to relative motion forms(polishing patterns) of abrasive grain, the surface quality is different. Then, polishing patterns are important essential in polishing process. In work field, polishing patterns are determined by an expert of experience. Therefore, to work effective polishing, it is necessary that evaluate polishing characteristics for polishing patterns. And, polishing machine is made with cartesian coordinate robots, we estimate polishing characteristics by measurement of surface roughness.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.713-716
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• 2005

In this paper, in order to identify and recognize attack patterns, we propose a Bayesian classification using frequent patterns. In theory, Bayesian classifiers guarantee the minimum error rate compared to all other classifiers. However, in practice this is not always the case owing to inaccuracies in the unrealistic assumption{ class conditional independence) made for its use. Our method addresses the problem of attribute dependence by discovering frequent patterns. It generates frequent patterns using an efficient FP-growth approach. Since the volume of patterns produced can be large, we propose a pruning technique for selection only interesting patterns. Also, this method estimates the probability of a new case using different product approximations, where each product approximation assumes different independence of the attributes. Our experiments show that the proposed classifier achieves higher accuracy and is more efficient than other classifiers.

• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.2
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• pp.159-170
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• 2006

This study aims to examine the expressive properties of contemporary corset, and to develop designs and produce patterns for corset look clothes. Through these courses, it develops a pattern that may all meet the exactness, functionality and aesthetic aspects of a pattern and provides materials that may help create a corset look design in the course of actuallymaking a garment. Based on the elements mentioned above, a total of three (3) real works were developed and their patterns were created. The patterns include two (2) flat patterns and one (1) patterns using the draping method. The results found in the course of creating works and patterns are as follows: With new corset look designs, this study was able to artificially highlight the body and express the beauty of costume through revelation of the body In addition, it explored the possibility that the phenomenon that underwear becoming outerwear may be a new idea in dress designing.

• Journal of the Korean Society of Food Culture
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• v.17 no.4
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• pp.446-455
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• 2002

The purpose of this study was to identify the dimensions and patterns of the perception of Korean traditional food and to find the determinants of the patterns between Korean and Yanbian housewives, taking food culture into account. Data were factor and cluster analyzed, and the results revealed two and three different dimensions and patterns for Yanbian and Korean housewives respectively. Descriptive statistics showed that perceptional patterns are likely to vary depending on cultural background of Korean traditional food. Similarities and differences in perceptional patterns between Yanbian and Korean housewives are discussed, and future implications for food as well as nutrition specialists and food marketers are provided.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.5
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• pp.412-421
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• 2013

Motion picture industry is one of the most representative fields in the cultural industry and has experienced constant growth both worldwide and within domestic markets. However, little research has been undertaken for diffusion patterns of motion pictures, whereas various issues such as demand forecasting and success factor analysis have been widely explored. To analyze diffusion patterns, we adopted extended Bass model to reflect the potential demand of movies. Four clusters of selected movies were derived by k-means clustering method with criteria of opening strength and profitability and then compared by their diffusion patterns. Results indicated that movies with high profitability and medium opening strength are most significantly influenced by word of mouth effect, while low profitability movies display nearly monotonic decreasing diffusion patterns with noticeable initial adoption rates and relatively early peak points in their runs.

• 대한상한금궤의학회지
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• v.5 no.1
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• pp.1-17
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• 2013

Objective : The purpose of this study is to help korean medical doctors write case reports based on Shanghanlun six clinical patterns and provisions accurately and effectively. Methods : To achieve the purpose of this study, we reviewed Shanghanlun six clinical patterns and provisions. After this, we formed a case report form according to the importance of Korean medical terms in Shanghanlun. Results : Through this study, we got the consistency and unity of case reports based on Shanghanlun six clinical patterns and provisions. Conclusions : This case report form is designed for gathering clinical data which are organized clearly according to the diagnostic system based on Shanghanlun six clinical patterns and provisions.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.449-451
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• 2006

With the increasing danger of personal information being exposed, a technique to protect personal information by identifying a non-user in case it is exposed. A study to construct a neural network recognizer for developing a economical and effective user protecting system. For this, time variables regarding user typing patterns from a pattern extraction device. With the variations in the standard deviation for the collected time variables, non-user patterns were generated. The recognition performance increased with the increase in the standard deviation and a higher recognition was achieved at 2.5. Also, five types of training data were generated and the recognition performance was examined as a function of the number of non-user patterns. With the increase in non-suer patterns, the recognition error quantified in the root mean square error (RMSE) was reduced. The smallest RMSE was obtained at the type 5 and 90 non-user patterns. In overall, the type 3 model yielded the highest recognition accuracy Particularly, a perfect recognition of 100% was achieved at 45 non-user patterns.

• Journal of Korean Society of Rural Planning
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• v.23 no.2
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• pp.67-74
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• 2017

Migration is defined as the movement of people between residential places, and represents interactions between regions. Changes in migration involve changes in both the number of migrants toward/from regions and migration patterns across regions. However, most migration studies have focused only on the change in migrants, while no empirical study captures changes in migration patterns. In this paper, I present a function using the cosine similarity to measure changes in migration patterns, and apply it to 2001-2016 migration data of Korea. The results show that the migration patterns of Korea shifted in 2007, resulting in two distinct clusters. Local areas experienced various migration pattern changes despite few changes in the number of migrants.

• The Journal of Information Systems
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• v.3
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• pp.147-169
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• 1994

This paper present s a pattern generation scheme from financial charts. The patterns constitute knowledge which consists of patterns as the conditional part and the impact of the pattern as the conclusion part. The patterns in charts are represented in a syntactic approach. If the pattern elements and the impact of patterns are defined, the patterns are synthesized from simple to the more highly credible by evaluating each intermediate pattern from the instances. The overall process is divided into primitive discovery by Genetic Algorithms and pattern synthesis from the discovered primitives by the Syntactic Pattern-based Inductive Learning (SYNPLE) algorithm which we have developed. We have applied the scheme to a chart : the trend lines of stock price in daily base. The scheme can generate very credible patterns from training data sets.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.459-461
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• 1992

This paper presents the new method to recognize the 2D patterns dynamically by rotating the input patterns according to the difference vector. Generally neural network with many patterns leads to various recognition ratio. The dynamic management of input patterns means that we can move pixels to desired locations controlled by the difference vector. We divide dual neural network model into two parts at learning phase, respectively. And then we combine them to construct the total network. Our model has some good results such that it has less number of patterns and reduced learning time. At present, we only discuss the four way movement of input patterns. The research for the complex movement will be fulfilled later.