• Title/Summary/Keyword: Classified by Pattern

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Study on Mechanistic Pattern Identification of Disease for NaeGyungPyen of DongEuiBoGam ("동의보감(東醫寶鑑)" 내경편(內景編)에 나타난 질병(疾病)의 병기론적(病機論的) 변증(辨證)화 연구 - 정신기혈(精神氣血)을 중심으로 -)

  • Kim, Yeong-Mok
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.24 no.2
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    • pp.177-186
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    • 2010
  • This study is about researching DongEuiBoGam by analysing with pattern identification of modern Traditional Korean medical patholgy as more logical, systematic and standardized theory. Disease pattern mechanisms of essence, spirit, qi and blood in NaeGyungPyeb of DongEuiBoGam are these. In Essence, this explain mechanism of disease patterns those are seminal emission, dream emission, spermatorrhea, white ooze. These disease pattern's mechanisms are kidney yang deficiency, kidney yin deficiency, heart yang deficiency, heart yin deficiency, heart qi deficiency, spleen qi deficiency and so on. On viewpoints of viscera and bowels they are related with heart, kidney, spleen. And most of them are deficiency from deficiency-excess Pattern Identification. Classifying disease pattern of qi is about upward, downward movement and more concentrated deficiency than excess pattern. Fright palpitations can be classified heart deficiency with timidity, heart blood and qi deficiency, heart qi deficiency, heart blood deficiency, heart qi movement stagnation, water qi intimidating the heart, phlegm-fire harassing the heart, phlegm clouding the pericardium, and so on. Palpitations can be classified heart blood deficiency, heart yin deficiency, heart deficiency with timidity, heart spleen blood deficiency, spleen qi deficiency, phlegm-fire harassing the heart, intense heart fire, and so on. Forgetfulness can be classified heart spleen blood deficiency, heart spleen qi deficiency, kidney essence deficiency, heart qi deficiency, non-interaction between the heart and kidney, etc. for deficiency pattern, phlegm clouding the pericardium for excess pattern. In Blood just say inside bleeding pattern's category, there are nose bleeding, flopping syncope, qi counterflow, blood vomiting, hemoptysis, spitting of blood, bloody stool, hematuria, and so on. Like these, this study identify pattern of disease in DongEuiBoGam by mechanism of disease theory.

The Standardization of Graded Sizes through Comparing Bodice Patterns by Draping Method and Studied Flat Pattern Method -Using Replica Body-

  • Shim, Kue-Nam
    • Fashion & Textile Research Journal
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    • v.6 no.3
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    • pp.399-403
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    • 2004
  • Education of clothing and textiles in the university is various according to the purposes. Among that clothing construction and practice is what is needed the most in understanding the process of apparel producing, and is the basic subject of areas from apparel designs to quality management. Producing apparel starts from planning the bodice pattern according to the human body shape. Basic bodice pattern should be highly practical so that production of all items of apparel patterns can be possible. Also, a basic bodice pattern needs to be planned in the way that even beginners can use it by classifying sizes according to each body measurements. Thus in this study. bodice patterns will be produced in way of draping method subjecting university students in early 20s. standardized and classified sizes will be calculated from it and bodice pattern made by studied flat pattern method will be examined and compared so that finally suitability will be compared. As a result of examining and comparing bodice patterns made by draping method and studied flat pattern method on the model of the human body produced by plaster method, sizes were classified into 5 levels. As a result of evaluation of creation. satisfying consequence from various body shape was acquired and it is expected of the beginners who are stating from clothing construction and practice to be educated by using the result of this study.

A Study on Efficient Classification of Pattern Using Object Oriented Relationship between Design Patterns

  • Kim Gui-Jung;Han Jung-Soo
    • International Journal of Contents
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    • v.2 no.3
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    • pp.11-17
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    • 2006
  • The Clustering is representative method of components classification. The previous clustering methods that use cohesion and coupling cannot be effective because design pattern has focused on relation between classes. In this paper, we classified design patterns with features of object-oriented relationship. The result is that classification by clustering showed higher precision than classification by facet. It is effective that design patterns are classified by automatic clustering algorithm. When patterns are retrieved in classification of design patterns, we can use to compare them because similar pattern is saved to same category. Also we can manage repository efficiently because of storing patterns with link information.

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Gait Pattern Classification using EMG Signal (근전도 신호를 이용한 보행 패턴 분류)

  • 지연주;송신우;홍석교
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.115-115
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    • 2000
  • A gait pattern classification method using electromyography(EMG) signal is presented. The gait pattern with four stages such as stance, heel-off, swing and heel-strike is analyzed and classified using feature parameters such as zero-crossing, integral absolute value and variance of the EMG signal. The EMG signal from Tibialis Anterior and Gastrocnemius muscles was obtained using the surface electrodes, and low-pass filtered at 10kHz. The filtered analog signal was sampled at every 0.5msec and converted to digital signal with 12-bit resolution. The obtained data is analyzed and classified in terms of feature parameters. Analysis results are given to show that the gait patterns classified by the proposed method are feasible.

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Clinical Practice Guideline for Soyangin Disease of Sasang Constitutional Medicine: Chest-Heat congested (Hyunggyeok-yeol) Symptomatology (소양인체질병증 임상진료지침: 흉격열병)

  • Park, Hye-Sun;Hwang, Min-Woo;Lee, Eui-Ju
    • Journal of Sasang Constitutional Medicine
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    • v.26 no.3
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    • pp.262-271
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    • 2014
  • Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Soyangin Disease of Sasang Constitutional Medicine (SCM) ; Chest-Heat congested(Hyunggyeok-yeol) Symptomatology. Methods This CPG was developed by the national-wide experts committee consisting of SCM professors. First, collection and organization of literature related to SCM such as Donguisusebowon, Text book of SCM, Clinical Guidebook of SCM and Fundamental research to standardize diagnosis of Sasang Constitutional Medicine was performed. Secondly, journals related to clinical trial or Human complementary medicine of SCM were searched. Finally, 4 articles were selected and included in CPG for Chest-Heat congested(Hyunggyeok-yeol) Symptomatology of Stomach Heat-based Interior Heat disease in Soyangin disease. Results & Conclusions CPG of Chest-Heat congested(Hyunggyeok-yeol) symptomatology in Soyangin disease includes classification, definition and standard symptoms of each pattern. Chest-Heat congested(Hyunggyeok-yeol) symptomatology is classified into mild and moderate pattern by severity. Chest-Heat(Hyunggyeok-yeol) symptomatology Mild pattern is classified into Chest-Heat congested(Hyunggyeok-yeol) initial pattern and Chest-Heat congested(Hyunggyeok-yeol) advanced pattern. And Chest-Heat congested (Hyunggyeok-yeol) moderate pattern is classified into Clear Yang Failure of Stomach(Weguck-cheongyang Bulsagnseung) pattern (Upper wasting-thirst(Sangso) pattern), Clear Yang Failure of Large Intestine (Daejang-cheongyang Bulsangseung) pattern (Middle wasting-thirst (Jungso) pattern).

CLASSIFIED ELGEN BLOCK: LOCAL FEATURE EXTRACTION AND IMAGE MATCHING ALGORITHM

  • Hochul Shin;Kim, Seong-Dae
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2108-2111
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    • 2003
  • This paper introduces a new local feature extraction method and image matching method for the localization and classification of targets. Proposed method is based on the block-by-block projection associated with directional pattern of blocks. Each pattern has its own eigen-vertors called as CEBs(Classified Eigen-Blocks). Also proposed block-based image matching method is robust to translation and occlusion. Performance of proposed feature extraction and matching method is verified by the face localization and FLIR-vehicle-image classification test.

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Clinical Practice Guideline for Soyangin Disease of Sasang Constitutional Medicine: Lessor-Yang Wind-Injury (Soyang-sangpung) Symptomatology (소양인체질병증 임상진료지침: 소양상풍병)

  • Jeon, Soo-Hyung;Choi, Ae-Ryun;Lee, Eui-Ju
    • Journal of Sasang Constitutional Medicine
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    • v.26 no.3
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    • pp.241-250
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    • 2014
  • Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Soyangin Disease of Sasang Constitutional Medicine(SCM): Lessor-Yang Wind-Injury (Soyang-sangpung) Symptomatology. This CPG was developed by the national-wide experts committee consisting of SCM professors. Methods First, it was performed that search and collection of literature related SCM such as "Dongeuisusebowon", Textbook of SCM, Clinical Guidebook of SCM and Fundamental research to standardize diagnosis of Sasang Constitutional Medicine. And journal search related to clinical trial or Human complementary medicine of SCM was performed domestic and overseas. Finally, 1 articles were selected and included in CPG for Lessor-Yang Wind-Injury (Soyang-sangpung) Symptomatology of Spleen Cold-based Exterior Cold (Bisuhan-pyohan) disease in Soyangin Disease. Results & Conclusions The CPG of Lessor-Yang Wind-Injury (Soyang-sangpung) Symptomatology in Soyangin Disease include classification, definition and standard symptoms of each pattern. Lessor-Yang Wind-Injury (Soyang-sangpung) Symptomatology is classified into mild and moderate pattern by severity. Lessor-Yang Wind-Injury (Soyang-sangpung) Symptomatology mild pattern is classified into initial pattern and advanced pattern. Lesser-Yang Wind-Injury (Soyang-sangpung) symptomatology moderate pattern is classified into Chest-binding (Gyeolhyoong) pattern and Chest-binding (Gyeolhyoong) advanced pattern.

An Intrusion Detection System Using Pattern Classification (패턴 분류를 이용한 침입탐지 시스템 모델)

  • 윤은준;김현성;부기동
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2002.11a
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    • pp.59-65
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    • 2002
  • Recently, lots of researchers work focused on the intrusion detection system. Pattern matching technique is commonly used to detect the intrusion in the system, However, the method requires a lot of time to match between systems rule and inputted packet data. This paper proposes a new intrusion detection system based on the pattern matching technique. Proposed system reduces the required time for pattern matching by using classified system rule. The classified rule is implemented with a general tree for efficient pattern matching. Thereby, proposed system could perform network intrusion detection efficiently.

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An Intrusion Detection System Using Pattern Classification (패턴 분류를 이용한 침입탐지 시스템 모델)

  • 윤은준;김현성;부기동
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.11a
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    • pp.59-65
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    • 2002
  • Recently, lots of researchers work focused on the intrusion detection system. Pattern matching technique is commonly used to detect the intrusion in the system, However, the method requires a lot of time to match between systems rule and inputted packet data. This paper proposes a new intrusion detection system based on the pattern matching technique. Proposed system reduces the required time for pattern matching by using classified system rule. The classified rule is implemented with a general tree for efficient pattern matching. Thereby, proposed system could perform network intrusion detection efficiently.

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Clinical Practice Guideline for Taeeumin and Taeyangin Disease of Sasang Constitutional Medicine: Diagnosis and Algorithm (태음인·태양인체질병증 임상진료지침: 진단 및 알고리즘)

  • Lee, Jun-Hee;Lee, Eui-Ju
    • Journal of Sasang Constitutional Medicine
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    • v.27 no.1
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    • pp.13-41
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    • 2015
  • Objectives This research was proposed to present Clinical Practice Guideline(CPG) for Taeeumin and Taeyangin 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 Taeeumin and Taeyangin Symptomatology diagnosis and algorithm. For developing diagnosis and algorithm, we searched the classification, ordinary symptom, present symptom of the Taeeumin and Taeyangin Symptomatology Results and Conclusions We classified the Taeeumin Symptomatology by 4 steps: Exterior-Interior disease, favorable-unfavorable pattern, mild-moderate-severe-critical pattern, initial-intermediate-advanced pattern. And we classified the Taeyangin Symptomatology by 3 steps: Exterior-Interior disease, favorable-unfavorable pattern, mild-moderate-severe-critical pattern. At the unfavorable pattern, ordinary symptom is very important. So doctors are considered to need to focus on the symptom of unfavorable's ordinary symptoms.