• Journal of Sasang Constitutional Medicine
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• v.22 no.3
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• pp.18-28
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• 2010

1. Objectives: Purpose of this paper is to study the reinterpretation of Taeyang disease(太陽病) in "Shanghanlun(傷寒論)" based on the pathologic perspective of Sa-sang Constitutional Medicine by comparing factors as pathologic mechanisms, clinical symptoms, and remedies. 2. Methods: The texts referred to pathologic mechanisms, clinical symptoms, and remedies of Taeyang disease(太陽病) described in "Donguisusebowon Gabobon(東醫壽世保元 甲午本)", "Donguisusebowon Sinchookbon(東醫壽世保元 辛丑本)", and Shanghanlun(傷寒論)" in "Donguibogam(東醫寶鑑)" were analysed. 3. Results and Conclusions 1) Early phase of Ulgwang symptomatic pattern(鬱狂證 初證) and of Mangyang symptomatic pattern(亡陽證初證) of Kidney Heat-based Exterior Heat disease(腎受熱表熱病), a category of Soeumin(少陰人) diseases, were described by adopting pathologic models of Taeyang-sangpung symptomatic pattern(太陽傷風證) and Sanghan-hyeol symptomatic pattern(傷寒血證) from "Sanghanlun(傷寒論)". 2) Soyang-sangpung symptomatic pattern(少陽傷風證) of Spleen Cold-based Exterior Cold diseae (脾受寒表寒病) and Hyunggyeok-yeol symptomatic pattern(胸膈熱證) of Stomach Heat-based Interior Heat disease(胃受熱裏熱病), categories of Soyangin(少陽人) diseases, were described by adopting pathologic models of Taeyang-yangsangpunghan symptomatic pattern(太陽兩傷風寒證), Soyang-sangpung symptomatic pattern(少陽傷風證) and Tayangbyong-sahak symptomatic pattern(太陽病似瘧證) from "Sanghanlun(傷寒論)". 3) Baechu-pyo symptomatic pattern(背顀表病輕證) and Hangual symptomatic pattern(寒厥證) of Esophagus Cold-based Exterior Cold disease(胃脘受寒表寒病), a category of Taeeumin(太陰人) diseases, was described by adopting pathologic models of Taeyang-sanghan symptomatic pattern(太陽傷寒證) and Hangual symptomatic pattern(寒厥證) from "Sanghanlun(傷寒論)". 4) Je-Ma Lee reinterpreted various diseases classified as Taeyang disease(太陽病) with the pathologic perspective of Sa-sang Constitutional Medicine. Different from existing medicine, diseases were analysed and treated by the standard, constitution of the patient.

• The Research Journal of the Costume Culture
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• v.18 no.5
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• pp.892-907
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• 2010

The purpose of this study was to compare torso pattern made by draping and flat pattern method in terms of the size of breast. The size of this study was classified as 75A and 75D according to the size of breast. Each torso pattern by the combination of the size and pattern method was compared and analyzed. In order to test the fit of the draping and flat pattern that was developed according to the size of breast, the outer appearance was evaluated. The results of the study were as follows: First, The most striking size difference was difference between the front and the back on bust line level, which decides on position of the side seam in comparison of size between draping and flat pattern of 75A and 75D. In the flat pattern, the difference between the front and the back in the size of breast was consistent regardless of a change in the size of breast. However, in the draping, the bigger breast led to the bigger difference between the front and the back on bustline level. Second, the flat pattern in 75D was evaluated to be the worst in 27 items among total 46 items for the evaluation of outer appearance in the draping and flat pattern of 75A and 75D. Third, regardless of size, the draping was evaluated to be more suitable in the areas related to neck, arm hole, and waist dart than the flat pattern. These results are suggesting that the draping is a method of reflecting characteristic of the body type more accurately than the flat pattern, and that the draping is a more suitable method than the flat pattern for the design of clothing pattern of the body type with big breast like 75D.

• Journal of Korean Home Economics Education Association
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• v.8 no.1
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• pp.51-57
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• 1996

The purpose of this study were to examine the difference of the effect of CAI and students’attitude to Home Economics Class through CAI. 120 girl students of the first year were chosen at B middle school in Daegu. Among them each 30 students were classified into 4 groups； High Intelligence group/Individual learning pattern, High Intelligence group/Small group learning pattern, Low Intelligence group/Individual learning pattern, Low Intelligence group/Small group learning pattern. The task of learning was “management of washing”Unit of the second grade. The data were processed with Cronbach’s ${\alpha}$, t-test, ANOVA by SPSS/PC(sup)+. The research findings are as follows： 1. In the verification of CAI Learning effect according to student group pattern, there is no difference between Individual learning pattern and Small group learning pattern in Achivement and Retention of learning. 2. In the verification of CAI Learning effect according to student intelligence level, there is no difference between High Intelligence group and Low Intelligence group in Achivement and Retention of learning. 3. The result of students’attitude to Home Economics Class verificated is an follows. (1) Individual learning pattern is more attensive than Small group learning pattern, but there is no difference in Intelligence level. (2) Low Intelligence group is more positive than High Intelligence group, and Small group learning pattern is more positive than Individual learning pattern in a view of Home Economics Class after using CAI.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.3
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• pp.35-42
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• 2012

The database for driving patterns can be utilized in various system such as automatic driving system, driver safety system, and it can be helpful to monitor driving style. Therefore, we propose a driving pattern recognition system in which the sensor streams from a smartphone are recorded and used for recognizing driving events. In this paper we focus on the driving pattern recognition that is an essential and preliminary step of driving style recognition. We divide input sensor streams into 7 driving patterns such as, Left-turn(L), U-turn(U), Right-turn(R), Rapid-Braking(RB), Quick-Start(QS), Rapid-Acceleration (RA), Speed-Bump(SB). To classify driving patterns, first, a preprocessing step for data smoothing is followed by an event detection step. Last the detected events are classified by DTW(Dynamic Time Warping) algorithm. For assisting drivers we provide the classified pattern with the corresponding video stream which is recorded with its sensor stream. The proposed system will play an essential role in the safety driving system or driving monitoring system.

• Journal of Sasang Constitutional Medicine
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• v.26 no.1
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• pp.11-26
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• 2014

Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Soeumin Disease of Sasang Constitutional Medicine(SCM): Diagnosis and Algorithm. This CPG was developed by the national-wide experts committee consisting of SCM professors. Methods We searched the literature and articles related to Soeumin Symptomatology diagnosis and algorithm. For developin diagnosis and algorithm, we searched the classification, ordinary symptom, present symptom of the Soeumin Symptomatology Results & Conclusions We classified the Soeumin Symptomatology by 4 steps: Exterior-Interior disease, favorable-unfavorable pattern, mild-moderate-severe-critical pattern, initial-intermediate-advanced pattern. And at the unfavorable pattern, ordinary symptom is very important. So Doctors focuss on the symptom of unfavorable's ordinary symptom such as temperament inclined symptom, excessive sweating, diarrhea, and vexation.

• Journal of Family Resource Management and Policy Review
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• v.7 no.1
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• pp.153-167
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• 2003

The purposes of this study were to examine the pattern of housewives’social activity participation and investigate the characteristics of this pattern. The data of this study were collected from 340 housewives living in Seoul area. Statistical methods used were frequency, percentage, oneway ANOVA, DMR-test, and cluster analysis. The results of this study were as follows; 1) 52.6% of respondents participated in social education, only 20.8％ in volunteer work. And a large number of housewives(77.6% of respondents) wanted to get a job. 2) Housewives were classified into job-demand group, job-apathy group and social activity oriented group by the pattern of social activity participation. And these groups were differed by Age, income, degree of satisfaction as a housewife, time constraints, and money constraints.

• Proceedings of the KOSOMBE Conference
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• v.1992 no.11
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• pp.47-50
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• 1992

This paper describes pattern classification algorithm of ECG using back-propagation neural network. We presents new feature extractor using second order approximating function as the input signals of neural network. We use 9 significant parameters which were extracted by feature extractor. 5 most characterized ECG signal pattern is classified accurately by neural network. We use AHA database to evaluate the performance ol the proposed pattern classification algorithm.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.2
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• pp.235-241
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• 2019

The shoe manufacturing process is very low compared to other industries due to the labor-intensive process. As automation and smart factories are becoming more and more automated, changes in the shoe manufacturing process are also needed. In this paper, we want to standardize the fuse manufacturing process by modularizing it. First, we defined the terms of shoeupper and fuse process, the shoe upper fuse process by function and classified it as a modular process. The fuse process can be modularized with pattern supply module, pattern recognition module, pattern laminate module, pattern waiting module, adhesion module, heat pressing module, transmission module, etc.

• Journal of the Korean housing association
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• v.19 no.2
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• pp.43-54
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• 2008

The aim of the research is to find out the direction of unit-plans in multi-dwellings for the future society. Shinonome Canal Court where residents actually live now are the objects in this study, and the residential floor plan of unit-plans were analyzed to find out the typical types. The analysis was focused on the unit-plans of 5 blocks of Shinonome Canal Court. Space Syntax Theory was used as the analysis method. As the first stage of the analysis, justified graphs were made to find out the characters of unit-plans through the classification of the graphs. Contents of the analysis are as follows: Relationship between classified justified graphs and dimension according to node number. Relationship between classified justified graph patterns and unit-plans. Characters of unit-plans in each blocks. Shinonome Canal Court consists of mainly small scale unit-plans and 30unit-plans are classified. 1LDK, 2LDK, 1LDK+S, 1LDK+f are typical unit-plans which are mainly supplied in the complex. It is noted that the results of the analysis by node, justified graph pattern and dimension are the same. It also presents diverse unit-plans which shows a change in nLDK pattern or add f (foyer), AN (annex), S (service room), Fs (free space) to basic nLDK type. In summary, it demonstrates the possibility of creating new residental floor plans in multi-dwellings.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.9 no.1
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• pp.119-127
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• 2000

In this study the classified researches the artificial and natural flaws in welding parts are performed using the pattern recognition technology. For this purpose the signal pattern recognition package including the user defined function was developed and the total procedure including the digital signal processing feature extraction feature selection and classifi-er selection is teated by bulk,. Specially it is composed with and discussed using the statistical classifier such as the linear discriminant function the empirical Bayesian classifier. Also the pattern recognition technology is applied to classifica-tion problem of natural flaw(i.e multiple classification problem-crack lack of penetration lack of fusion porosity and slag inclusion the planar and volumetric flaw classification problem), According to this result it is possible to acquire the recognition rate of 83% above even through it is different a little according to domain extracting the feature and the classifier.