• The Journal of Internal Korean Medicine
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• v.32 no.2
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• pp.232-242
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• 2011

Objectives : The purpose of this study was to develop the Korean standard pattern identifications for stroke-III (KSPIS-III). KSPIS-III includes 4 major pattern identifications (PIs) and clinical indicators for each. Methods : To extract the indicators for 4 major PIs, we analyzed 1548 clinical data from 15 traditional Korean medicine hospitals. Patients got acute stroke within 30 days from onset. Two physicians independently checked 65 indicators and performed pattern diagnosis. If the PI were diagnosed the same, PI would be confirmed. First we built an assumption model that set up the relationship among pattern identifications. Second, we extracted the indicators for fire-heat pattern and qi deficiency pattern by comparison between excessive and deficiency group, heat and non-heat group. By comparing yin deficiency pattern and 3 other patterns respectively, we extracted the indicators for yin deficiency pattern. Dampness-phlegm pattern indicators were extracted by the same method. Results : After cross tabulation with 65 indicators on the basis of our assumption model, we finally extracted 19 indicators for fire-heat pattern, 11 for qi deficiency pattern, 7 for yin deficiency pattern, and 7 for dampness-phlegm pattern. Conclusions : KSPIS-III was more improved than KSPIS-II because it was based on more clinical data. Further study to establish the PI diagnostic model would be required for practical use in the clinical field.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.35-45
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• 2012

The development of digital media made the change of architectural paradigm from tectonic to the surface and pattern. This means the transition to the new kind of materiality and the resurrection of ornament. This study started as an aim to apply biological pattern to architectural design from the new perception of pattern. Architectural patterns in the early era appeared as ladders, steps, chains, trees, vortices. But since 21st century, we can find patterns in nature like atoms and molecular structures, fluid forms of dynamics and new geometrical pattern like fractal and first of all biological patterns like viruses and micro-organisms, Voronoi cells, DNA structure, rhizomes and various hybrids and permutations of these. Pattern became one of the most important elements and themes of contemporary architecture through the change of materiality and resurrection of ornament with the new perception of surface in architecture. One of the patterns that give new creative availability to the architectural design is biological pattern which is self-organized as an optimum form through interaction with environment. Biological patterns emerge mostly as self-replicating patterns through morphogenesis, certain geometrical patterns(in particular triangles, pentagons, hexagons and spirals). The architectural application methods of biological patterns are direct figural pattern of organism, circle pattern, polygon pattern, energy-material control pattern, differentiation pattern, parametric pattern, growth principle pattern, evolutionary ecologic pattern. These patterns can be utilized as practical architectural patterns through the use of computer programs as morphogenetic programs like L-system, MoSS program and genetic algorithm programs like Grasshoper, Generative Components with the help of computing technology like mapping and scripting.

• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1242-1253
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• 2010

The purpose of this study is to suggest a designing method with excellent body suitability by analyzing clothingwearing porosity, comparing and analyzing patterns, and evaluating outer appearances by designing a prototype of study applied with design measurements for categories that have influence on the outer appearance of clothing through diverse research methods, by comparing and analyzing bunka and new bunka style basic pattern, which are proportional basic patterns most frequently used in schools for educational use to design bodice pattern for elderly women in their late 60s. As for the process of this study, the first stage selected study subjects, measured bodies. The second stage compared patterns of bunka and new bunka style basic pattern and evaluated outer appearances that deduced important pattern designing categories to design upper-torso bodice pattern of elderly women. The results of this study are as following ; As a result of comparing and analyzing bunka and new bunka style basic pattern, overall evaluation of outer appearance was excellent for new bunka style basic pattern, and bunka basic pattern received better reviews for the width and depth of front neck. In terms of waist circumference, waist front length, bust point location and bust point-bust point, bunka and new bunka style basic patterns showed a significant difference. new bunka style basic pattern had 4.5cm larger front armhole depth than bunka basic pattern, so it was evaluated to have more appropriate front armhole length, bust point location, and bust point-bust point. Through observation for primary excellent categories and precedent studies, 7 categories of front neck width, front neck depth, front interscye, back neck width, back neck depth, back interscye, and back armhole depth were deduced to have relations to the extra room around arm holes and waist that affect pattern designing method and porosity and evaluations of outer appearance.

• Journal of Biomedical Engineering Research
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• v.12 no.4
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• pp.267-276
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• 1991

This paper describes syntactic pattern recognition algorithm for pattern recognition and diagnostic parameter extraction of ECG signal. ECG signal which is represented linguistic string is evaluated by pattern grammar and its interpreter-LALR(1) parser for pattern recognition. The proposed pattern grammar performs syntactic analysis and semantic evaluation simultaneously. The performance of proposed algorithm has been evaluated using CSE database.

• Journal of the Ergonomics Society of Korea
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• v.24 no.2
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• pp.85-91
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• 2005

To understand the basic relationship between 3D curved surface model and 2D pattern, simplified torso model was generated by commercial CAD program (IDEAS). 3D torso model was then divided into different blocks and unfolded into a flat pattern as in ordinary works of clothing item design. As results, 2D pattern development of different part of 3D torso model was attempted and analyzed mathematically. It was found that different height, radius and tangent slope of 3D blocks resulted in different 2D pattern. The relationships between the shape parameters of 3D torso blocks and those of 2D patterns were analyzed using regression equations. Direct way of drawing a 2D pattern of corresponding 3D torso block was also illustrated for the convenience of pattern making using conventional measurements of upper/ lower radii and height of 3D torso block.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.6
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• pp.751-763
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• 2014

The paper is written to determine the optimal search pattern through search effects assessment on underwater targets. 5 types of search patterns are introduced such as, M-type pattern, W-type pattern, rectangular pattern, 4-type pattern and square pattern, In addition, Operational effectiveness analysis model is developed to obtain the optimum search pattern. The algorithms and mathematical models are also suggested to analyze the required search times, AUV's movement patterns, moving distances, overlapping areas and so on.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.9-11
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• 2005

We propose a new content-based image retrieval using a block color co-occurrence matrix (BCCM) and pattern correlogram. In the proposed method, the color feature vectors are extracted by using BCCM that represents the probability of the co-occurrence of two mean colors within blocks. Also the pattern feature vectors are extracted by using pattern correlogram which is combined with spatial correlation of pattern. In the proposed pattern correlogram method. after block-divided image is classified into 48 patterns with respect to the change of the RGB color of the image, joint probability between the same pattern from the surrounding blocks existing at the fixed distance and the center pattern is calculated. Experimental results show that the proposed method can outperform the conventional methods as regards the precision and the size of the feature vector dimension.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.4
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• pp.1-8
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• 1994

In this paper, we propose an efficient two-step pattern matching method which promises shape distortion-tolerant recognition of handwritten of handwritten Hangul syllables. In the first step, nonlinear shape normalization is carried out to compensate for global shape distortions in handwritten characters, then a preliminary classification based on simple pattern matching is performed. In the next step, nonlinear pattern matching which achieves best matching between input and reference pattern is carried out to compensate for local shape distortions, then detailed classification which determines the final result of classification is performed. As the performance of recognition systems based on pattern matching methods is greatly effected by the quality of reference patterns. we construct reference patterns by combining the proposed nonlinear pattern matching method with a well-known averaging techniques. Experimental results reveal that recognition performance is greatly improved by the proposed two-step pattern matching method and the reference pattern construction scheme.

• Journal of Industrial Technology
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• v.19
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• pp.179-187
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• 1999

The computer pattern sewing machine is an automatic sewing machine that is controlled by an input pattern. Even a novice can run this machine for various tasks fast and reliably such as sewing a button, a belt ring and an airbag, etc. The pattern processing software, which is the main software of this machine, is for editing and modifying pattern data by online teaching or off-line editing, setting up parameters, and calculate a moving distance of working area on the x-y axes. In this paper we propose an algorithm to generate pattern data for sewing by simplifying image data. The pattern data are composed of outline data like dot, line, circle, arc, curve, etc. We need converting this data into sewing data which involve sewing parameter, moving distance of working are an the x-y axes, thread, spindle speed.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.2
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• pp.25-32
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• 2003

Molding properties of etched surface pattern are presented. Injection molding has given attention on improving dimensional accuracy and productivity. However, the molding of etched surface pattern on plastic parts is not researched relatively for its additional values, which can meet design function and customer's attraction. Specimens, whose surface patterns are made by print-type etching, are investigated. The molding properties of surface pattern are estimated with roughness deviation of surface pattern on part and mold. The etching properties are related to physical properties of plastic materials and surface roughness of etched pattern. Also, flow mark and gate location can give influence on surface pattern molding. The experimental result can contribute to good molding of surface pattern in injection molding.