• Title/Summary/Keyword: 바람 분류

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Flora and Vegetation of Mt. Daedeok (대덕산의 식물상과 식생)

  • Seo Dong-Ju,;Paik Won-Ki;Lee Woo-Tchul;Yoo Ki-Oug
    • Korean Journal of Plant Resources
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    • v.19 no.2
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    • pp.277-295
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    • 2006
  • Vascular plants of Mt. Daedeok were composed of 81 families, 266 genera, 358 species, 1 subspecies, 69 varieties and 14 forma, totaling 442 taxa. Seventeen species among the 442 species were Korean endemic and 15 rare plants such as Anemone koraiensis, Eranthis stellata, Aristolochia manchuriensis, Viola albida, Viola diamantiaca, Acanthopanax senricosus, Acanthopanax chiisanense, Anagaltidium dichotomum, Scrophularia koraiensis, Adenophora grandiflora, Lilium cernuum, Lilium medeoloides, Lloydia triflora, Iris odaesanensis and Cypripedium macranthum were also investigated. The naturalized plants were 6 families, 15 genera, 16 species, totaling 16 taxa. Life form spectra was $H-D_4-R_5-e$ type and the use of plants were composed edible 43.2%, pasture 41.0%, medical 32.8%, ornamental 12.6%, respectively. The forest vegetation of Mt. Daedeok was classified Quercus mongolica community group with Betula emanii-Quercus mongolica community and typical community and Juglans mandshurica community.

An Educational Analysis on Fraction Concept (분수 개념의 의미 분석과 교육적 시사점 탐구)

  • Jeong Eun-Sil
    • School Mathematics
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    • v.8 no.2
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    • pp.123-138
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    • 2006
  • The fraction concept consists of various meanings and is one of the more abstract and difficult in elementary school mathematics. This study intends to analyze the fraction concept from historical and psychological viewpoints, to examine the current elementary mathematics textbooks by these viewpoints and to seek the direction for improvement of it. Basic ideas about fraction are the partitioning - the dividing of a quantity into subparts of equal size - and about the part-whole relation. So these ideas are heavily emphasized in current textbooks. However, from the learner's point of view, situations related to different meanings of fraction concept draw qualitatively different response from students. So all the other meanings of fraction concept should be systematically represented in elementary mathematics textbooks. Especially based on historico-genetic principle, the current textbooks need the emphasis on the fraction as a measure and on constructing fraction concept by unit fraction as a unit.

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Disease Classification System of Oriental Medicine using Enhanced FCM Algorithm (개선된 FCM 알고리즘을 이용한 한방의 질병 분류 시스템)

  • Jang, Su-Jae;Choi, Kyoung-Yeol;Kim, Kwang-Beak
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.93-96
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    • 2011
  • 본 논문에서는 개선된 FCM 알고리즘을 적용하여 통계청에서 제공하는 한국 표준 질병 사인 분류표(K.C.D)를 기초로 질병을 분류한 후, 질병을 도출하고 애매한 증상의 차이의 정도를 퍼지 추론기법을 사용하여 정확한 질병 상세를 도출할 수 있는 한방 질병 분류 시스템을 제시한다. 기존의 FCM 알고리즘은 입력 벡터들과 각 군집 중심과의 거리를 이용하여 측정된 유사도에 기초한 목적 함수의 최적화 방식을 사용한다. 하지만 측정된 패턴과 군집 공간상의 패턴들의 분포에 따라 바람직하지 못한 군집화 결과를 보일 수 있다. 따라서 본 논문에서는 군집들의 대칭성 측도에 퍼지 이론을 적용하여 기존의 FCM 알고리즘으로 군집화 한 결과를 재 군집화 하여 군집화의 정확성을 개선시킨 후, 증상의 차이를 구분하기 위해서 애매한 증상의 정도를 퍼지 추론 방법을 적용하여 정확한 질병 상세를 도출할 수 있는 방법을 제시한다. 본 논문에서는 개선된 FCM 알고리즘을 적용하여 질병을 분류한 후, 퍼지 제어 기법으로 질병을 추출함으로써 기존의 한방 자가진단 시스템 보다 정확하게 질병을 도출한 것을 확인하였다.

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Pattern Classification Methods for Keystroke Identification (키스트로크 인식을 위한 패턴분류 방법)

  • Cho Tai-Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.5
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    • pp.956-961
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    • 2006
  • Keystroke time intervals can be a discriminating feature in the verification and identification of computer users. This paper presents a comparison result obtained using several classification methods including k-NN (k-Nearest Neighbor), back-propagation neural networks, and Bayesian classification for keystroke identification. Performance of k-NN classification was best with small data samples available per user, while Bayesian classification was the most superior to others with large data samples per user. Thus, for web-based on-line identification of users, it seems to be appropriate to selectively use either k-NN or Bayesian method according to the number of keystroke samples accumulated by each user.

Competition - Ecological Classification of the Prominent Paddy Weed Species around Bulrush(Scirpus juncoides) (올챙고랭이(Scirpus juncoides)를 중심으로 한 주요(主要) 논 잡초종(雜草種)의 벼 경합생태적(競合生態的) 분류(分類))

  • Guh, J.O.;Heo, S.M.
    • Korean Journal of Weed Science
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    • v.5 no.2
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    • pp.96-102
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    • 1985
  • A study on the competition-ecological classification of the 10 prominent paddy weed species around bulrush (Scirpus juneoides) to simplify the weed problem concept for the rice production. A serial assessments on the competition ability in space and dry matter production(nutrient depletion) of respective weed species and paddy rice, and the data were used to compute the phenotypic similarity by Single Link Clustering method. Both growth response of weed species in mono- and under the paddy rice standing was very similar (r = 0.969), but the reduction rate as affected by paddy rice standing was negatively correlated with the ability in space-competition(r=-0.513). Dendrogram of 10 weed species based on the phenotypic similarity computed in 4 characters in mono- and under the paddy rice standing was also similar, as Echinochloa c., Ludwigia p., Cyperus s., and Scirpus m. in I-group, Eleocharis k., Scirpus j, in II-group, and Juncus e., Potamogeton d. in III-group, respectively. Also, that of paddy rice to 10 weed species showed Fimbristylis m., Scirpus j., Eleocharis k., Scirpus m., Juncus e. in I-group, and Ludwigia p., Potamogeton d., Monochoria v. in II-group, respectively. The integrated dendrogram by the above two data indicate the I-group with Fimbristylis m., Scirpus j., Eleocharis k. and Juncus e., as higher growth response with relatively lower competition ability to paddy rice, II-group with Cyperus s., Echinochloa c., Potamogeton d., and Ludwigia p., as higher both in growth and competition, and the last, III-group with Monochoria v., and Scirpus m., as lower growth but higher competition, respectively.

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A Sliding Window-based Multivariate Stream Data Classification (슬라이딩 윈도우 기반 다변량 스트림 데이타 분류 기법)

  • Seo, Sung-Bo;Kang, Jae-Woo;Nam, Kwang-Woo;Ryu, Keun-Ho
    • Journal of KIISE:Databases
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    • v.33 no.2
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    • pp.163-174
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    • 2006
  • In distributed wireless sensor network, it is difficult to transmit and analyze the entire stream data depending on limited networks, power and processor. Therefore it is suitable to use alternative stream data processing after classifying the continuous stream data. We propose a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes input as a sliding window of multivariate stream data and discretizes the data in the window into a string of symbols that characterize the signal changes. In the classification step, it uses a standard text classification algorithm to classify the discretized data in the window. We evaluated both supervised and unsupervised classification algorithms. For supervised, we tested Bayesian classifier and SVM, and for unsupervised, we tested Jaccard, TFIDF Jaro and Jaro Winkler. In our experiments, SVM and TFIDF outperformed other classification methods. In particular, we observed that classification accuracy is improved when the correlation of attributes is also considered along with the n-gram tokens of symbols.

A Study of Classification of Triangles by Angles in Elementary School Mathematics (초등학교 교과서의 각의 크기에 따른 삼각형 분류에 관한 고찰)

  • Hong, Gap Ju;Park, Ji Hwan
    • Education of Primary School Mathematics
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    • v.18 no.1
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    • pp.45-59
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    • 2015
  • This study focused on the classification of triangles by angles in elementary school mathematics. We examined Korean national mathematics curriculum from the past to the present. We also examined foreign textbooks and the Euclid's . As a result, it showed that the classification is not indispensable from the mathematical and the perceptual viewpoint. It is rather useful for students to know the names of triangles when studying upper level mathematics in middle and high schools. This study also suggested that the classification be introduced in elementary school mathematics in the context of reasoning and inquiring as shown foreign textbooks, and example topics for the reasoning and inquiring.

A Study of Influence Factors for Reservoir Evaporation Using Multivariate Statistical Analysis (다변량 통계분석을 이용한 저수지증발량 영향인자에 관한 연구)

  • Lee, Kyungsu;Kwak, Sunghyun;Seo, Yong Jae;Lyu, Siwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.237-240
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    • 2017
  • 지구온난화로 인해 세계 곳곳에서 기온상승이 관측되고 있으며, 이는 전지구적 기후시스템의 변화를 보여주는 대표적인 예이다. 온도를 비롯한 강수량, 풍속, 증발량 등의 기상학적, 수문학적 인자들이 각각 서로에게 영향을 주고 받으며 복잡하게 변화할 것이고, 그 변화폭도 점점 커질 것이다. 증발에 영향을 미치는 인자들은 크게 세 가지로 나뉘는데, 태양복사에너지, 온도, 바람, 기압, 습도와 같은 기상학적인자, 증발표면의 특성인자 그리고 수질인자로 분류할 수 있다. 증발에 영향을 주는 인자들은 예전부터 알려져 있지만 이들 간의 복잡한 상호작용에 대해 정확히 이해하기는 쉽지 않다. 본 연구에서는 댐유역의 증발량에 영향을 미치는 기상인자 파악을 위해 2008부터 2016년까지 관측된 낙동강수계 내 안동댐과 남강댐의 기상자료(기온, 강수량, 풍속, 상대습도, 기압, 일사량, 일조시간, 전운량)를 이용한 변화를 분석하였으며, 다변량 통계기법인요인분석을 통해 증발량과 상관성이 높은 인자들을 분류하였다. 안동댐과 남강댐 공통적으로 증발량과 기온, 기압이 같은 요인으로 분류되고 높은 상관성을 보였으며, 강수량, 일조시간, 일사량, 전운량이 같은 요인으로 분류되었다. 국내의 증발량 측정지점에 대한 추가적인 분석과 영향인자를 이용한 다변량회귀식과 인공신경망 통해 증발량 미측정 지점의 증발량 산정이 가능할 것으로 판단된다.

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A Comparative Analysis on Classification Systems for Children's Materials of Internet Portals and Online Bookstores (인터넷포털과 인터넷서점의 어린이자료 분류시스템의 비교분석)

  • Bae, Yeong-Hwal;Oh, Dong-Geun;Yeo, Ji-Suk
    • Journal of Korean Library and Information Science Society
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    • v.39 no.3
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    • pp.321-344
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    • 2008
  • This study tries to compare the classification systems of major internet portals and their sub-portals specialized for the children and of major online book stores. It compares and analyzes the major directories of them and suggests recommendations not only to improve their own systems but also to apply to the development for the classification systems for children's library. Some of them are: (1) The system should reflect information requests and use behaviors of the children netizen. (2) It should select the terms reflecting the children's viewpoints and expressions and suggest the guidelines by ages. (3) It should maintain the clear hierarchies and grouping for the accessability and convenience of the users. (4) It will be helpful to establish the categories to mix the subject- or concept-based categories and the activities and objects of the children. (5) It will also be helpful to establish the categories based on the curricula added by those creating the imagination and interest and to subdivide by subject.

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A Comparative Study on Statistical Clustering Methods and Kohonen Self-Organizing Maps for Highway Characteristic Classification of National Highway (일반국도 도로특성분류를 위한 통계적 군집분석과 Kohonen Self-Organizing Maps의 비교연구)

  • Cho, Jun Han;Kim, Seong Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3D
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    • pp.347-356
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    • 2009
  • This paper is described clustering analysis of traffic characteristics-based highway classification in order to deviate from methodologies of existing highway functional classification. This research focuses on comparing the clustering techniques performance based on the total within-group errors and deriving the optimal number of cluster. This research analyzed statistical clustering method (Hierarchical Ward's minimum-variance method, Nonhierarchical K-means method) and Kohonen self-organizing maps clustering method for highway characteristic classification. The outcomes of cluster techniques compared for the number of samples and traffic characteristics from subsets derived by the optimal number of cluster. As a comprehensive result, the k-means method is superior result to other methods less than 12. For a cluster of more than 20, Kohonen self-organizing maps is the best result in the cluster method. The main contribution of this research is expected to use important the basic road attribution information that produced the highway characteristic classification.