• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.6
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• pp.1226-1233
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• 2009

Common cold occurs frequently and occupies an important position in medical treatment however obvious treatment is not suggested. There has been no agreement of pattern identification for common cold in oriental medicine. The purpose of this study is to develop a standard instrument of pattern identification for common cold which will be applied to clinical research. The items and structure of the instrument were based on review of published literature. The advisor committee on this study was organized by 9 oriental respiratory internal medicine professors of 11 oriental medical colleges nationwide. The experts attended 3 consultation meetings and discussed developing the instrument, and we also took professional advices by e-mail. The results were as follows; First, we divided the pattern identification of common cold into nine pattern: Wind-cold type, Wind-heat type, Contain summerheat type, Contain dampness type, Qi deficiency type, Blood deficiency type, Yang deficiency type, Yin deficiency type, Influenza. Second, we got the mean weights to each symptom of nine pattern identification which had been scored on a 5-point scale - ranging from 0 to 4 by the 9 experts. Third, we made out the Korean instrument of the pattern identification for common cold. It was composed self reporting questionnaire and researcher reporting questionnaire. Though this study is not proved about validity, reliability, the instrument of pattern identification for common cold is meaningful and expected to be applied to the subsequent research. And also, we hope to improve the instrument and make up for this study through various research and discussion.

• Journal of the Institute of Convergence Signal Processing
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• v.7 no.4
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• pp.161-168
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• 2006

In this paper, we propose a method for the pattern inspection of LCD module using the color compensation and pattern matching. The pattern matching is generally used for the inspection method of LCD module at the industry. LCD module has many defections such as the brightness difference of the back light, the optic feature of liquid crystal, the difference of the light penetrated by driving LCD and the color difference by the lighting. The conventional method without the color compensation can not solve these defections and decreases the efficiency of inspecting LCD module. The method proposed to inspect defective badness through the pattern matching after it compensated color difference of the LCD occurred by the various causes. At first, it revises with setting by standard tone of color with the LCD pattern of the reference image. And It perform the preprocessing and pattern matching algorithm on the compensated image. In experiment, we confirmed that this algorithm is useful to detect some defections of LCD module. The proposed methods was easy to detect the faulty product.

• Korean Journal of Oriental Medicine
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• v.12 no.3 s.18
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• pp.117-130
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• 2006

The purpose of this study was to introduce the differential standard of Mok-Hyaeng Radix species. We established the classificatory standard according to the external and internal morphology and the pattern in 4 kinds of Mok-Hyaeng Radix. The results follow: 1. On the external morphology, Radix of Vladimiria souliei had a sticky material in the head of roots and it was yellowish white in the cut surface. It attached to teeth during chewing. Radix of Aucklandia lappa (=Saussurea lappa) was dark grayish brown and was grayish brown in the cut surface. It had special odor and was not attache to teeth chewing it. On the other hand, Radix of Inula helenium was dark brown. In the cut surface, cortical layer was different from wood layer. Radix of Aristolochia contorta was yellowish brown. In the cut surface, it was not smooth and cortical layer was different from wood layer. 2. On the internal morphology, Radix of Vladimiria souliei had many fascicular fibers and scattered large oil chambers in the bast ray, xylem ray, and parenchyma. On Radix of Aucklandia lappa (=Saussurea lappa), it was difficult to find out the trace when the cork layer was exfoliated. The cambium formed circle and the large oil chambers were scattered in the phloem and xylem. On the other hand, external cortical layer of Radix of Inula helenium was detached and cambium was formed to indistinct circle and large oil chambers were scattered in the phloem and xylem. On Radix of Arustolochia contorta, the large oil chambers were scattered in the surface later, bast part was relatively broad and cambium formed circle. 3. On the TLC pattern, Radix of Aristolochia contorta, Inula helenium, Aucklandia lappa, and Vladimiria souliei were chromogenic to violet and purple according to sulfuric acid colour pattern, especially faint on Aristolochia contorta. 4. On the pattern analysis of HPLC, we compared the content and the pattern of constunolide and dehydrocostus lactone, Radix of Aucklandia lappa was similar to Radix of Vladimiria souliei and Radix of Aristolochia contorta was similar to Radix of Inula helenium. On the total HPLC component pattern, constunolide and dehydrocostus lactone were similar in all four types, but it showed the Rf 5-6 peak was only in Radix of Aristolochia contorta, not in Radix of Inula helenium, Aucklandia lappa, and Vladimiria souliei. It is considered the results of this study will be furnished the basis to succeeding studies and it is needed to extensive comparative study for the same genus-degree of relatedness.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.3
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• pp.318-326
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• 2013

This study was performed to investigate relationship between each pattern identification and heart rate variability(HRV) indices. We analyzed 201 subjects who participated in stroke check up. We classified the subjects into four groups of pattern identifications; Fire-Heat pattern(FH), Yin Deficiency pattern(YD), Qi Deficiency pattern(QD) and Dampness-Phlegm pattern(DP) that based on Korean Standard Pattern Identifications for Stroke-III. We investigated significance of HRV indices between each pattern identification and heart rate variability indices. The total number of the subject group was 201, whereas the groups were divided into four groups; Fire-Heat pattern group(n=47), Yin Deficiency pattern(n=65), Qi Deficiency pattern(n=33), and Dampness-Phlegm pattern(n=56). SDNN, TP, Ln(TP), VLF, Ln(VLF), LF, Ln(LF) and HF were significantly higher in the Fire-Heat pattern(FH) group than other groups of pattern identifications, but there was no differences among the Yin Deficiency group, the Qi Deficiency group and the Dampness-Phlegm group. Ln(HF), LF(NORM), HF(NORM) and LF/HF ratio were significantly higher in the Fire-Heat group than in the Qi Deficiency group. However, there was no significant differences among the Dampness-Phlegm group, the Yin Deficiency group, Fire-Heat group and the Qi Deficiency group. Through this study, we found out some significant relationships between each pattern identification group and HRV indices. The result of this study demonstrates that sympathetic nerve was more active in the Fire-Heat group than other groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.13 no.2 s.30
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• pp.146-154
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• 1989

The purpose of this study was to develop a computer program for pattern making of man's Korean traditional trousers (Hanbok Baji). The IBM-PC/AT Computer was used in this study. The procedures of the study were as follows. 1. Basic pattern of Hanbok Baji was selected. 2. Co-ordinate points were instituted for indicate of relative location of all necessary points in drafting. 3. A program for drafting was developed. 4. The pattern of Baji for man's Hanbok was automatically design by inputting individual body measurement (trouser length and hip girth). 5. Grading of standard size was accomplished by using same method.

• Journal of information and communication convergence engineering
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• v.9 no.5
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• pp.607-609
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• 2011

In this work, we present solutions of two problems. First, the representation of pattern recognition problem in the standard $T_{nml}$ table of the algorithm estimate calculation was considered. Second, the problem of finding the model, consisting of the optimal parameters of an algorithm was considered. Such procedure is carried out by the selection optimal values of the parameters of extreme algorithms. This serves to reduce the number of calculations in the algorithms of estimate calculation and to increase the quality of recognition process. The algorithmic data base of the developed system was based on mathematical apparatus of pattern recognition.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.11
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• pp.1536-1541
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• 2018

For effective electricity consumption in urban railway station such as peak load shaving, it is important to know each electrical load pattern by various usage. The total electricity consumption in the urban railway substation is already measured in Korea, but the electricity consumption for each usage is not measured. The author proposed the deep learning method to estimate the electrical load pattern for each usage in the urban railway substation with public data such as weather data. GRU (gated recurrent unit), a variation on the LSTM (long short-term memory), was used, which aims to solve the vanishing gradient problem of standard a RNN (recursive neural networks). The optimal model was found and the estimation results with that were assessed.

• The Journal of the Acoustical Society of Korea
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• v.22 no.2E
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• pp.49-55
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• 2003

The modified neural net pattern recognition equations were attempted to apply to speech recognition. The proposed method has a dynamic process of self-organization that has been proved to be successful in recognizing a depth perception in stereoscopic vision. This study has shown that the process has also been useful in recognizing human speech. In the processing, input vocal signals are first compared with standard models to measure similarities that are then given to a process of self-organization in neural net equations. The competitive and cooperative processes are conducted among neighboring input similarities, so that only one winner neuron is finally detected. In a comparative study, it showed that the proposed neural networks outperformed the conventional HMM speech recognizer under the same conditions.

• Journal of the Korean Home Economics Association
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• v.33 no.3
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• pp.71-84
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• 1995

The purpose of this study is to investigate the effect of wives' demographic variables, the family cohesion and adaptability perceived by dual-career wives on household task performance. The subject of this study were 391 employed professional wives working in seoul. Using the questionnary, the data was obtained and the data was analysed by percentile, frequency, ANOVA, multiple regression. The results were as follows. 1) the family cohesion and adaptability scores showed a little higher than those of previous research. Number of children, age of the youngest child and family pattern were statistically significant in the family cohesion, number of children and family pattern were statistically significantly in the family adaptability. 2) The division of housework by family members was influenced by the family adaptability and family pattern. The family cohesion was a significant determinant of the division of housework by husband. The standard of housework was influenced by wives' age, the family cohesion and a housework time.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.1029-1032
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• 2000

A neuro-fuzzy based circuit to recognize circuit pat-terns is proposed in this paper. The simple algorithm and exemption from the use of template patterns as well as multipliers enable the proposed circuit to implement on the hardware of an economical scale. Furthermore, thanks to the circuit design by using current-mode techniques, the proposed circuit call achieve easy extendability of tile circuit and efficient pattern recognition with high-speed. The validity of the proposed algorithm and tile circuit design is confirmed by computer simulations. The proposed pattern recognition circuit is integrable by a standard CMOS technology.