• Title/Summary/Keyword: 단계적 판별분석

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Variation in Needle Morphology of Natural Populations of Abies nephrolepis Maxim. and A. Koreana Wilson in Korea (분비·구상나무 천연집단(天然集團)의 침엽특성(針葉特性) 변이(變異))

  • Song, Jeong-Ho;Lee, Jung-Joo;Lee, Kab-Yeon;Lee, Jae-Cheon;Kim, Young-Yul
    • Journal of Korean Society of Forest Science
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    • v.96 no.4
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    • pp.387-392
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    • 2007
  • Characteristics of needle morphology and anatomy were examined in 14 populations of Abies nephrolepis (Trautv.) Maxim. and A. koreana Wilson. Additionally we studied the classification index to distinguish between the species by the method of discriminant analysis. Characteristics of needle for A. nephrolepis could be distinguished from those for A. koreana by flatten arrangement, thin and long length for needle form, many stomata row, and marginal position of resin duct Nested ANOVA showed that there were statistically significant differences among populations as well as among individuals within populations in all 9 needle traits. For the needle indices such as needle thickness, number of stomata row, and the distance between resin duct and vascular for both species, variance components among populations were larger than those among individuals within populations. The characteristics that contributed most to the separation of A. nephrolepis and A. koreana according to the discriminant analysis using stepdisc procedures were needle index and thickness of needle, needle arrangement index, distance between resin duct and vascular, and number of stomata row.

Studies on the Sexing of Bovine Embryo by the Chromosomal Analysis and H-Y Antibody (염색체 분석 및 H-Y 항체처리에 의한 우수정란의 성판별에 관한 연구)

  • 고광두;양부근;정희태;박연수;김정익
    • Journal of Embryo Transfer
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    • v.3 no.1
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    • pp.48-52
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    • 1988
  • 우수정란의 이식전 성판별이 관한 연구를 수행하기 위하여 GTH와 PGF$_2$$\alpha$투여에 대한 난소반응과 회수난자의 발유단계별 동결융해후 생존성을 조사하였으며, 이식전 수정라느이 성판별을 위하여 H-Y항체 처리후 정상발육 난자의 염색체를 분석하여 다음과 같은 결과를 얻었다. 웅성 비장세포(male, spleen cells)를 면역원으로 mouse와 rat에 투여, 항혈청의 항체를 확인한 결과 mouse에서는 C57 BL계통과 rat에서는 DonRyu 계통이 항체생산능력이 우수하였다. 공란우 87두에 hormone(2500IU PMSG, 25mg PGF$_2$alpha)처리하여 평균 57.8%의 채란유과 두당 4.9개의 난자가 회수되었으며, 전체회수란자(427개)중 moula(162개)와 blastocyst(190개)의 정상발육란자는 82.4%였다. 동결융해후 회수된 난자 (312개)중, 형태적으로 정상인 난자(241개)의 비율은 77.2% 발육단계별 성적은 blastocyst(83.4%)가 morula(71.0%)보다 우수하였다. 항체와 보체(Guinea pig serum)로 처리된 82개의 morula중 15개(18.3%)가 blastocyst로 발육되어 이중 5개(33.3%)가 성이 판별되었으며, 모두 xx형 성염색체를 갖는 자성수정란으로 판명되었다.

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cDNA Microarray data Analysis and Management System: cMAMS (cDNA 마이크로어레이 데이터의 분석과 관리 시스템: cMAMS)

  • 김상배;김효미;이은정;김영진;박정선;박윤주;정호열;고인송
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.247-249
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    • 2004
  • 마이크로어레이 기술은 근래에 개발된 신기술로써 동시에 수천-수만 개의 유전자 발현을 측정할 수 있어 다양한 생물학적 연구에 이용되고 있다. 여러 단계의 실험 과정과 이를 통해 얻은 다량의 데이터를 처리하기 위해서는 이를 효율적으로 관리. 저장, 분석할 수 있는 통할 정보 관리 시스템을 필요로 한다. 현재 외국에서는 몇몇 관리시스템이 개발되어 있고. 국내에서도 WEMA 등이 있지만 아직 데이터 관리부분에 기능이 치우쳐 있다. 따라서 우리는 복잡한 자료구조를 가지는 마이크로어레이의 실험 정보와 각 단계별 처리 정보 등을 사용자의 관점에서 효과적이고 체계적으로 관리할 수 있고, 데이터 정규화 및 다양한 통계적 분석 기능을 갖춰 불필요한 시간과 비용을 줄임으로써 마이크로어레이 연구에 도움을 주고자 통합 분석관리 시스템 cMAMS (cDNA Microarray Analysis and Management System)를 개발하였다. 웹 기반으로 구현된 cMAMS는 데이터를 저장, 관리하는 부분과 데이터를 분석하는 부분, 그리고 모든 관련 점보가 저장되는 데이터베이스 부분으로 구성되어 있다 데이터관리부분에서는 WEMA의 계층적 데이터구조론 도입해 관리의 효율성을 높이고 시스템의 이용자를 시스템운영자, 프로젝트관리자, 일반사용자로 구분하여 데이터 접근을 제한함으로써 보안성을 높였다. 통계처리 언어 R로 구현된 데이터분석 부분은 7 단계의 다양한 분석(전처리 정규화, 가시화, 군집분석. 판별분석, 특이적 발현 유전자 선뿐, 마이크로어레이 간의 상판분석)이 가능하도록 구현하였고, 분석결과는 데이터베이스에 저장되어 추후에 검토 및 연구자간의 공유가 가능하도록 하였다. 데이터베이스는 실험정보가 저장된 데이터베이스, 분석결과가 저장된 데이터베이스, 그리고 유전자 정보 탐색을 위한 데이터베이스로 분류해 데이터를 효율적으로 관리할 수 있게 하였다. 본 시스템은 LiNUX를 운영체계로 하고 데이터베이스는 MYSQL로 하여 JSP, Perl. 통계처리 언어인 R로 구현되었다.

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12 Months Follow-Up Study of Group Cognitive Behavioral Therapy for Panic Disorder (공황장애 집단인지행동치료의 12개월 추적 연구)

  • Choi, Young-Hee;Park, Kee-Hwan;Woo, Young-Jae;Yoon, Haye-Young
    • Korean Journal of Psychosomatic Medicine
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    • v.11 no.2
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    • pp.205-213
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    • 2003
  • Objectives: The authors intended to evaluate long-term outcome of group cognitive behavioral therapy(GCBT) for panic disorder and examined the variables to predict high end-state functioning in 12 months follow-up. Methods: 236 patients meeting DSM-IV criteria for panic disorder were assessed by STAI, ASI, BDI, BSQ, PBQ, ACQ at pre & post treatment, and were asked about the frequency of panic attacks during recent one month. We executed stepwise discriminant analysis on the clinical variables at pre treatment assessment to find the variables for discriminating between high end-state function(HES) and low end-state function(LES). Results: After GCBT, 82.6% of panic patients maintained high end-state functioning at 12 months follow-up. The results of discriminant analysis showed that BDI and BSQ at pre treatment assessment were significant variables to predict end-state functioning at 12 months follow-up. The hit ratio of discriminant analysis was 69.2%. Conclusion: These results suggest that the therapeutic effect of GCBT can be maintained through 12 months. Especially, it is likely that patients who were less depressed and who had less experienced the fear of physical symptoms at pre-treatment can maintain HES.

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Discrimination of Kochujang by Physicochemical and Sensory Characteristics (이화학적 및 관능적 특성에 의한 고추장의 판별)

  • Kim, Young-Soo;Oh, Hoon-Il
    • Korean Journal of Food Science and Technology
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    • v.26 no.5
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    • pp.561-566
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    • 1994
  • The kinds of kochujang were discriminated by using their organic acid compositions, GC peak areas of volatile concentrates and flavor intensity determined by sensory evaluation. Tested kochujang were 51 kinds of traditional kochujang and 10 kinds of industry-produced kochujang in the market. The traditional kochujang included 20 kinds of Sunchang kochujang prepared with glutinous rice, 11 kinds of Boeun kochujang prepared with barley and 20 kinds of Sachun kochujang prepared with wheat. Boeun kochujang was distinguished from other kinds of traditional and industry-produced kochujang by using canonical discriminant analysis for the compositions of organic acids. Among organic acids, lactic acid was the most contributing variable for the discrimination of various kochujang. Traditional and industry-produced kochujang could be classified into 4 groups by using discriminant analysis for GC peak areas. The peak number 2, 4, 8 and 11 were found to be highly contributing variables for the discrimination of kochujang by using stepwise discriminant analysis. Industry-produced kochujang was discriminated from traditional kochujang by using canonical discriminant analysis for the intensity of 8 kinds of flavor property. The taste 'umami' was found to be the most contributing variable for the discrimination of kochujang.

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A Study on the Development of a Test for the Identification Gifted Children, based on the Characters of the Creativity and the Information Science (창의성 및 정보과학적 특성을 기반으로 한 정보영재 판별도구 개발연구)

  • Shin, Seung-Yong;Shin, Soo-Bum;Bae, Young-Kwon;Lee, Tae-Wuk
    • The Journal of Korean Association of Computer Education
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    • v.7 no.4
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    • pp.7-14
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    • 2004
  • Since the science of information is appearing no less important than mathematics and natural science as our society is rapidly becoming information-oriented, the necessity to distinguish prodigies of this field and to educate them as early as possible is also being emphasized. Unfortunately, however, the pertinent study is still in its beginning stage. In this study, I have reviewed the character, definition and method to distinguish prodigies and the procedure of developing a test, as well as researching and analyzing the proper process of distinguishing prodigies, through theoretical contemplation on the method of distinguishing the gifted children. Also, I have characterized and defined the information prodigies after clarifying the character of 'Discrete Mathematics' which becomes the basis of the science of information, paving the way to make a test method that can distinguish those information prodigies. As a result of our applying the system by using the distinction test, it turned out that the distinction test was pretty reliable. Accordingly, it can be utilized as a significant distinction test for information prodigies in the forthcoming future.

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Induction Motor Diagnosis System by Effective Frequency Selection and Linear Discriminant Analysis (유효 주파수 선택과 선형판별분석기법을 이용한 유도전동기 고장진단 시스템)

  • Lee, Dae-Jong;Cho, Jae-Hoon;Yun, Jong-Hwan;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.3
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    • pp.380-387
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    • 2010
  • For the fault diagnosis of three-phase induction motors, we propose a diagnosis algorithm based on mutual information and linear discriminant analysis (LDA). The experimental unit consists of machinery module for induction motor drive and data acquisition module to obtain the fault signal. As the first step for diagnosis procedure, DFT is performed to transform the acquired current signal into frequency domain. And then, frequency components are selected according to discriminate order calculated by mutual information As the next step, feature extraction is performed by LDA, and then diagnosis is evaluated by k-NN classifier. The results to verify the usability of the proposed algorithm showed better performance than various conventional methods.

A Comparative Analysis on the Mathematical Problem Posing according to the Tasks with Different Degrees of Structure by the Gifted and Non-gifted Elementary Students (과제 구조화 정도에 따른 초등 영재학생과 일반학생의 수학 문제제기 비교분석)

  • Lee, Hyeyoung;Park, Mangoo
    • Journal of Elementary Mathematics Education in Korea
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    • v.22 no.3
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    • pp.309-330
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    • 2018
  • The purpose of this study is to identify possibility of a mathematical problem posing ability by presenting problem posing tasks with different degrees of structure according to the study of Stoyanova and Ellerton(1996). Also, the results of this study suggest the direction of gifted elementary mathematics education to increase mathematical creativity. The research results showed that mathematical problem posing ability is likely to be a factor in identification of gifted students, and suggested directions for problem posing activities in education for mathematically gifted by investigating the characteristics of original problems. Although there are many criteria that distinguish between gifted and ordinary students, it is most desirable to utilize the measurement of fluency through the well-structured problem posing tasks in terms of efficiency, which is consistent with the findings of Jo Seokhee et al. (2007). It is possible to obtain fairly good reliability and validity in the measurement of fluency. On the other hand, the fact that the problem with depth of solving steps of 3 or more is likely to be a unique problem suggests that students should be encouraged to create multi-steps problems when teaching creative problem posing activities for the gifted. This implies that using multi-steps problems is an alternative method to identify gifted elementary students.

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Analysis of Pressure Ulcer Nursing Records with Artificial Intelligence-based Natural Language Processing (인공지능 기반 자연어처리를 적용한 욕창간호기록 분석)

  • Kim, Myoung Soo;Ryu, Jung-Mi
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.365-372
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    • 2021
  • The purpose of this study was to examine the statements characteristics of the pressure ulcer nursing record by natural langage processing and assess the prediction accuracy for each pressure ulcer stage. Nursing records related to pressure ulcer were analyzed using descriptive statistics, and word cloud generators (http://wordcloud.kr) were used to examine the characteristics of words in the pressure ulcer prevention nursing records. The accuracy ratio for the pressure ulcer stage was calculated using deep learning. As a result of the study, the second stage and the deep tissue injury suspected were 23.1% and 23.0%, respectively, and the most frequent key words were erythema, blisters, bark, area, and size. The stages with high prediction accuracy were in the order of stage 0, deep tissue injury suspected, and stage 2. These results suggest that it can be developed as a clinical decision support system available to practice for nurses at the pressure ulcer prevention care.

Efficient Traffic Classifier in Wireless Network (무선네트워크에서의 효율적 트래픽 분류 기법 연구)

  • Lee, Seong-Jin;Song, Jong-Woo;Ahn, Soo-Han;Won, You-Jip;Chang, Jae-Sung
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06d
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    • pp.485-490
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    • 2008
  • 무선 인터넷의 구조적 특성상 한 셀에서 대역폭을 공유하고 그 안에서 각기 다른 QoS를 요구하는 서비스들이 한정된 자원을 사용한다. 트래픽의 변화와 패턴을 예측하기 위한 분석은 실제 서비스를 제공하기 전인 기획단계에서 매우 중요한 도구로 사용이 된다. 무선망의 트래픽을 예측하기 위해서는 유선망의 분석과는 다른 방법이 필요하기 때문에 정확한 분류를 위해서 본 연구에서는 세션의 단위로 분석할 것을 제안한다. 또한 Classification and Regression Tree(CART) 와 Support Vector Machine(SVM) 의 두 개의 판별 분류 기법을 서로 비교하고 그 성능을 평가한다. 두 개의 판별 기법의 오차는 CART의 경우 0.0094 그리고 SVM의 경우 0.0089로 둘 다 우수한 성능을 보였지만 쉬운 결과 해석이 가능한 CART가 사용하기 용이함을 보인다.

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