• 대한한의학회지
• /
• 제41권3호
• /
• pp.81-97
• /
• 2020

Objectives: The objective of this study is to review the methods of combining acupoints of HANGYEOK(Cooling Mode) and YEOLGYEOK(Heating Mode) in Saam Acupuncture Method. Methods: We searched and investigated the journals and literatures by OASIS(Korea Institute of Oriental Medicine) and relevant searching engines with the key word "Saam, Hangyeok, Yeolgyeok". Unfortunately there was no relevant articles on this theme except six literatures. Six literatures with the key words relevant to Saam and acupuncture were selected and analyzed according to each composition of acupuncture prescription especially focusing on HANGYEOK and YEOLGYEOK. Results: Analyzing HANGYEOK and YEOLGYEOK of 12 meridians, two different methods emerged. In HANGYEOK to treat Heat Pattern, one method is to tonify Water points and directly sedate Fire points. The other is also to tonify Water point, but sedate Earth points instead of Fire points. It is assumed that Earth sedation method is to eradicate the underlying Fire. In only Heart meridian and Pericardium meridian there is one method to treat Heat Pattern: Water tonification and Fire Sedation. In YEOLGYEOK to treat Cold Pattern, there is one method to tonify Fire points and sedate Water points. In Pericardium meridian and Triple Energizer meridian there are some different combination of acupoints depending on literatures. Conclusions: Considering HANGYEOK and YEOLGYEOK in Saam Acupuncture Method, two methods are mainly discussed in HANGYEOK; Water Tonification Fire Sedation and Water Tonification Earth Sedation. To remove the underlying Fire, it is regarded that Water Tonification Earth Sedation is appropriate and close to Saam's thought.

• 한국의류산업학회지
• /
• 제18권5호
• /
• pp.716-723
• /
• 2016

The purpose of this study was to investigate the change in blood velocity(mm/sec) when compression and/or heat were applied to the knee joint for the elderly who has both normal and painful legs with osteoarthritis(OA). Experimental compression knee band was prepared from the 3D knee data of the average women in 60's. 3D replica of knee was reduced by 7, 10, and 13% from the nude pattern in course direction. Clothing pressure was measured at the front and back of each healthy and painful knee of elderly women for one minute while standing and sitting on the chair. Blood velocity was measured at 13 cm upper from the mid-patella for 15 minutes. Results are as follows: first, compression or heating treatment itself did not change blood velocity of both legs; second, combination treatment with heating and compression was effective to increase blood velocity. In details, for healthy legs, combination treatments with compression by 10% reduced pattern(about 1.3kPa) and heating($43^{\circ}C$) induced the maximal blood velocity, however, for knees with OA, 7% reduced pattern(about 1.0kPa) with simultaneous heating($43^{\circ}C$) was more effective than other cases. These results indicated that pain and spasticity of knee joint with OA could be reduced by applying heat and compression therapy, where the compression level of painful knee should be slightly lower than of healthy leg.

• 한국지능시스템학회논문지
• /
• 제21권4호
• /
• pp.512-517
• /
• 2011

얼굴영상에서 나타나는 정서특징을 분석하기 위하여 본 논문에서는 Active Shape Model (ASM)과 Lucas-Kanade (LK) optical flow 기법을 기반으로 하는 특징검출 및 분석방법을 제안한다. Facial Action Coding System에 근거하여 묘사된 정서적 특징을 고려하여, 특징이 분포하는 영역에 위치한 다수의 landmark로 shape 모델을 구성하고 모델에서 각 Landmark를 중심으로 하는 움직임 벡터 윈도우 내부의 픽셀에 대한 LK 기법을 통해 optical flow 벡터를 추출한다. 추출된 움직임 벡터의 방향성 조합에 근거하여 얼굴정서특징을 shape 모델로 표현할 수 있으며, 베이지안 분류기라는 확률 기반 추론기법을 기반으로 정서적 상태에 대한 추정할 수 있다. 또한, 정서특징분석과정의 연산 효율성과 정확성 향상을 도모하기 위하여 common spatial pattern (CSP) 분석기법을 적용하여 정서상태 별로 상관성이 높은 특징만으로 구성된 최적정서특징을 추출한다.

• 한국의류산업학회지
• /
• 제23권5호
• /
• pp.545-558
• /
• 2021

This research analyzed the Chinese style design embodied in the collections of the new generation of fashion designers shown during the Shanghai Fashion Week to improve the understanding of Chinese style and the modernization of Chinese design. The research questions were 1) studying the development of the Chinese fashion industry chronologically and investing young designers' current situation, 2) investigating young designers' awareness of Chinese style and analyzing Chinese style design in collections. A literature and case study were conducted as the research method. The literature study focused on the books about the Chinese fashion industry and history, newspaper, articles, and so on. The case study was conducted among 63 Chinese style collections in 2016-2020 SFW by investigating fashion magazine reviews, articles, and so on. The findings are as follows: 1) Young Chinese fashion designers' awareness of Chinese style has three characteristics; the nonmaterial tendency from decreasing stereotyped images, combination of traditional culture and local youth culture, and commercialization with trends. 2) Chinese elements, including natural, character, and cultural elements were predominantly used in the concept, pattern, and shape. Nonmaterial characteristics were identified in concept, cultural combination characteristics in concept, shape, color, material, and pattern, and trend commercialization in shape, color, and pattern. In conclusion, Chinese young fashion designers had strong national consciousness and new awareness of Chinese style fashion in decreasing the stereotyped images of China. Thus, they used more varied expressions. Meanwhile, they faced difficulties in expressing nonmaterial Chinese elements by balancing them with Chinese style and globalization.

• 한국의류학회지
• /
• 제25권4호
• /
• pp.719-730
• /
• 2001

The purpose of this study is to develop the basic patterns of adult womens brassiere therewith, provide for some basic data useful to the brassiere manufacturing which are both functional and fitting. For this purpose, 220 adults women(aged between 20 and 59) were sampled to be measured for their body sizes and tested for their brassiere wearing. The collected data were statistically processed using the SAS 6.12 for Means, Standard Deviation, etc. The results of this study can be summarized as follows; 1. In order to develop the basic patterns of adult womens brassieres, 75A size was selected out of 12 size combination(3 women per 75A size) and then, their brassiere fitting was tested. As a result, the fronts of the basic patterns were found to have such problems as undone front center, poor levelling of upper cups bottom line or lower cups top line, poor shape of upper cups outside top line and shoulder strip position. On the other hand, n the rear side of the basic patterns, the central part of the wing was slightly lifted, while the wing width and straps interval did not befit the full-cup brassiere. The result of this first brassiere fitting test showed that the functionality and aesthetics of the basic pattern brassieres were more or less satisfactory, and thus, the problems were address for the second test. In the second test, the aesthetics, breast-shaping effect and functionality of the basic pattern brassieres were much improved. 2. The basic patterns of adult womens brassieres were characterized by a round cup wired as well as a full cup embracing the entire breasts. Each basic pattern which consisted of upper and lower cups was shaped \"straight(-)\". The basic sizes adopted at the first design stage (see fig. 1-2) was 75A of which was designed as upper foundation basic pattern. At the second stage, the upper body foundation pattern were used to design lower cup, upper cup, front panel and wing in their order.(see fig. 3-5, fig. 8)5, fig. 8)

• 정보처리학회논문지D
• /
• 제11D권5호
• /
• pp.1031-1040
• /
• 2004

심장의 활동을 기록한 심전도는 심장의 상태에 대한 가치 있는 임상 정보를 제공한다. 지금까지 심전도를 이용한 심장 질환 진단 알고리즘에 대한 많은 연구가 진행되어 왔으나, 심장 질환에 대한 진단 결과의 부 정확성으로 인해 심전계에서는 외국의 진단 알고리즘을 사용하고 있다. 이 논문에서는 심전도 데이터의 수집에서부터 전 처리 과정 그리고 데이터마이닝을 이용한 심장 질환 패턴 분류 기법을 제안한다. 이 패턴 분류기법은 빈발 패턴 베이지안이며 기존의 나이브 베이지안과 빈발 패턴 마이닝의 통합이다. 빈발 패턴 베이지안은 훈련단계에서 탐사된 빈발 패턴들을 사용하여 Product Approximation 구성하므로써 클래스 조건 독립 가정을 가진 나이브 베이지안의 단점을 해결한다.

• PNF and Movement
• /
• 제13권2호
• /
• pp.73-80
• /
• 2015

Purpose: The purpose of this study was to determine the effect of symmetrical-reciprocal pattern of scapula and pelvis exercises using proprioceptive neuromuscular facilitation (PNF) on gait speed and balance in patients with hemiplegia. Methods: Among the adult patients with hemiplegia that were hospitalized at Michuhol Rehabilitation Center after being diagnosed with stroke, 10 that were capable of independent walking for more than five minutes and that understood and cooperated with the therapy and test methods of this research, were selected as subjects. The therapy was implemented based on the concept of PNF, and it was performed on a low mat and a height-adjustable mat, as proscribed by the fundamental procedure for PNF. Symmetrical-reciprocal pattern of scapula and pelvis exercises were applied to the patients in the decubitus position. The therapy scheme included stabilizing reversals, rhythmic stabilization, and a combination of isotonics, rhythmic initiation, and dynamic reversals. To investigate gait speed and body trunk mobility before and after the symmetrical-reciprocal pattern of scapula and pelvis exercises were applied, walking speed for a distance of 10 m was measured and balance was tested based on the Berg-Balance scale test table. The Berg-Balance scale test was performed by one therapist to minimize any error that could occur from the subjective evaluation method used by therapists. Results: Gait speed increased by 8.97 seconds after applying the symmetrical-reciprocal pattern of scapula and pelvis exercises using the concept of PNF, showing a significant difference (p<0.01). However, balance showed no significant difference after the therapy (p>0.14). Conclusion: Exercise therapy that uses the symmetrical-reciprocal pattern of scapula and pelvis with the concept of PNF can be said to be a useful therapeutic technique that can enhance the walking speed of patients with hemiplegia.

• 전기학회논문지
• /
• 제63권4호
• /
• pp.534-540
• /
• 2014

In this paper, we propose a fuzzy combined Polynomial Neural Network(PNN) for pattern classification. The fuzzy combined PNN comes from the generic TSK fuzzy model with several linear polynomial as the consequent part and is the expanded version of the fuzzy model. The proposed pattern classifier has the polynomial neural networks as the consequent part, instead of the general linear polynomial. PNNs are implemented by stacking the simple polynomials dynamically. To implement one layer of PNNs, the various types of simple polynomials are used so that PNNs have flexibility and versatility. Although the structural complexity of the implemented PNNs is high, the PNNs become a high order-multi input polynomial finally. To estimate the coefficients of a polynomial neuron, The weighted linear discriminant analysis. The output of fuzzy rule system with PNNs as the consequent part is the linear combination of the output of several PNNs. To evaluate the classification ability of the proposed pattern classifier, we make some experiments with several machine learning data sets.

• Journal of Electrical Engineering and Technology
• /
• 제12권1호
• /
• pp.363-372
• /
• 2017

This paper presents a novel face recognition algorithm based on the deep convolution neural network and key point detection jointed local binary pattern methodology to enhance the accuracy of face recognition. We firstly propose the modified face key feature point location detection method to enhance the traditional localization algorithm to better pre-process the original face images. We put forward the grey information and the color information with combination of a composite model of local information. Then, we optimize the multi-layer network structure deep learning algorithm using the Fisher criterion as reference to adjust the network structure more accurately. Furthermore, we modify the local binary pattern texture description operator and combine it with the neural network to overcome drawbacks that deep neural network could not learn to face image and the local characteristics. Simulation results demonstrate that the proposed algorithm obtains stronger robustness and feasibility compared with the other state-of-the-art algorithms. The proposed algorithm also provides the novel paradigm for the application of deep learning in the field of face recognition which sets the milestone for further research.

• 복식
• /
• 제53권1호
• /
• pp.67-75
• /
• 2003

From ancient times. lotus pattern had esthetic factor and symbolic factor. Lotus pattern was introduced to China, and it was grafted together with Chinese peculiar culture symbol system, thereafter it has changed and developed. The Chinese taking a serious view meaning that things include, and they frequently use several lucky omen patterns in their everyday life. In this study, I investigated laying stress on symbolism about Lotus patterns of China lucky omen patterns, and I wanted to present possibility that can approach to Chinese culture in new angle. Through result of this study, symbol of Lotus patterns can divide two directions. First, symbol by natural properties of lotus are same as following. 1. Lotus grows in the mud, but it is uncontaminated - clearness and uprightness, 2. Root, branches, loaves and flowers are vegetative together, and all of basis and branches are exuberant. - plenty, 3. Bear fruit simultaneously with blooming, and it is procreant. - fecundity and many descendants. Symbol that use same pronunciation and intention are same as following. 1. 'Lian(연)'-'Lian(연)' : repeatability, continuance, plenty and intercommunicate, 2. 'Lian(연)'-'Lian(염)': integrity, 3. 'He (하)'-'He(화)' : peace, harmony and combination, 4. 'He(하)'-'He(하)' : clear river, 5.'He(하)'-'He(하)' ; all work goes well. When the Chinese use lotus patterns in lucky omen patterns, same pronunciation and pitch of Chinese language more prominent than natural properties or the image of Buddhism. I guess that it cause praying individual's peace and happiness more serious than philosophical meaning or symbol that base in Buddhism for ordinary people.