• 한국산학기술학회논문지
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• 제15권8호
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• pp.5280-5287
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• 2014

본 논문에서는 라만스펙트럼의 효과적인 판별을 위해 계층 트리 구조로 클래스를 그룹화 하는 방식을 제안하였다. 실험데이터로는 28종 화학물질의 라만 스펙트럼을 준비하였고 잡음제거, 정규화 등의 전처리 수행하였다. 다음으로 사전실험을 통해 서로 간에 분류오류를 발생시키는 물질들을 그룹화 하여 계층 구조의 클래스를 구성하였고, 각각의 상위, 하위 클래스에 PCA(principal component analysis) 특징추출과 MAP(maximum a posteriori probability) 방식의 분류실험을 수행하였다. 실험 결과에 의하면 계층 구조의 클래스를 적용한 경우 평균 2.7개의 특징을 사용하여 분류가 100% 이루어짐을 확인할 수 있었다. 계층 구조를 적용하지 않는 기존의 방식에서 6개의 특징을 사용할 때 동일한 분류결과를 보였음을 감안해 보면, 제안한 방식이 전체 계산 복잡도의 측면에서 훨씬 뛰어남을 알 수 있다. 따라서 제안한 방식이 실제 응용에 보다 적합하다고 할 수 있다.

• 보건행정학회지
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• 제20권2호
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• pp.40-52
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• 2010

Health insurance fees are set by relative value scales and conversion factors. Since 2008 the conversion factor has been classified into 7 according to the provider type, and a separate contract has been made respectively. As such classification of the conversion factor reflects only the different characteristics of providers, however, further classification to reflect the different cost structures of providers is proposed. Cost varies according to the type of not only providers but also services each provider supply. In fact different cost structures of providers are the result of their different services. This study analyzed the cost structure of medical services to propose a new approach to the classification of the conversion factor. This study analyzed the cost structure of medical services using cost data constructed in the revision study of relative value scales. The cost data consist of doctor's fee, support staff's fee, cost of medical equipments, cost of medical supplies and indirect cost. The proportion of each cost component to the total cost was analyzed in terms of service department and service type. 72 service groups are defined in terms of the combination of service department and service type. Through cluster analysis, 72 service groups were reduced into 7 clusters each of which has a similar cost structure. Conversion factor is contracted annually to reflect the change in the cost of providing medical services. So the classification of conversion factor has to be based on the cost structures of medical services, not the characteristics of providers. Service clusters derived in this study can be used as a new classification for health insurance fee contract.

• 대한원격탐사학회지
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• 제7권1호
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• pp.69-86
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• 1991

An unsupervised region based image segmentation algorithm implemented with a pyramid structure has been developed. Rather than depending on thraditional local splitting and merging of regions with a similarity test of region statistics, the algorithm identifies the homogenous and boundary regions at each level of pyramid, then the global parameters of esch class are estimated and updated with values of the homogenous regions represented at the level of the pyramid using the mixture distribution estimation. The image is then classified through the pyramid structure. Classification results obtained for both simulated and SPOT imagery are presented.

• 정보처리학회논문지D
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• 제14D권1호
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• pp.89-96
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• 2007

컴포넌트 재사용을 위해 다양한 분류 방법들이 개발되어 왔다. 이러한 분류 방법들은 사용자가 필요로 하는 컴포넌트들을 쉽고 빠르게 접근하는 것을 돕는다. 전통적인 분류 방법들은 분류 구조 생성을 위한 도메인 분석 노력, 컴포넌트 사이의 관계 표현, 도메인 진화에 따른 분류 구조 유지 보수의 어려움, 그리고 한정된 도메인 적용과 같은 문제들을 포함한다. 본 논문은 이러한 문제들을 언급하기 위해 복합 클러스터 분석 기반의 컴포넌트 분류 방법에 대해 묘사한다. 안정적인 분류 구조 자동 생성을 위해 계층 클러스터 분석 방법과 새로운 컴포넌트의 자동 분류에 대해 비계층 클러스터 분석 개념은 결합된다. 제안된 방법에 의해 생성된 클러스터 정보는 관련 컴포넌트들에 대한 도메인 분석 과정을 지원할 수 있다.

• 한국멀티미디어학회논문지
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• 제14권8호
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• pp.1010-1019
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• 2011

This was a preliminary research for the goal of understanding between internal structure of Osteogenesis Imperfecta Murine (OIM) bone and its fragility. 54 hyperspectral bone data sets were captured by using JASCO 2000 Raman spectrometer at UMKC-CRISP (University of Missouri-Kansas City Center for Research on Interfacial Structure and Properties). Each data set consists of 1,091 data points from 9 OIM bones. The original captured hyperspectral data sets were noisy and base-lined ones. We removed the noise and corrected the base-lined data for the final efficient classification. High dimensional Raman hyperspectral data on OIM bones was reduced by Principal Components Analysis (PCA) and Linear Discriminant Analysis (LDA) and efficiently classified for the first time. We confirmed OIM bones could be classified such as strong, middle and weak one by using the coefficients of their PCA or LDA. Through experiment, we investigated the efficiency of classification on the reduced OIM bone data by the Bayesian classifier and K -Nearest Neighbor (K-NN) classifier. As the experimental result, the case of LDA reduction showed higher classification performance than that of PCA reduction in the two classifiers. K-NN classifier represented better classification rate, compared with Bayesian classifier. The classification performance of K-NN was about 92.6% in case of LDA.

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권1호
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• pp.30-39
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• 2007

기존의 내용기반 스팸메일 분류는 전자메일이 이미지를 많이 가지고 있고 텍스트는 적게 가지고 있을 경우에는 내용을 분석하기 어려우므로 스팸메일을 분류하는 데 한계가 있다. 이와 같은 문제를 해결하기 위하여 본 논문에서는 전자메일의 구조를 분석하는 링크구조분석 스팸메일 분류 알고리즘을 제안한다. 이것은 전자메일 안의 하이퍼링크의 개수와 하이퍼링크가 가리키는 웹 문서들이 다른 웹 문서에 의해 링크된 수를 측정하여 전자메일의 중요도를 계산한 후 의사결정트리를 학습하여 스팸메일과 정상메일을 분류한다. 또한 위의 링크구조분석 알고리즘과 하이퍼링크의 서버 주소만을 이용한 변형된 링크구조 분석 알고리즘, 그리고 SVM(support vector machine)을 이용한 내용기반 방법을 다수결 원칙으로 결합한 통합 스팸메일 분류 시스템을 제안한다. 실험 결과, 제안한 링크구조분석 알고리즘은 기존의 내용기반 방법 보다 스팸메일 분류 정확도가 94.8%로 약간 향상되었으며 또한 통합 스팸메일 분류 시스템도 내용기반 방법과 비교하여 향상된 97.7%를 나타냈다.

• 대한수학회지
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• 제58권4호
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• pp.895-920
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• 2021

In this paper, first we introduce the full expression of the Riemannian curvature tensor of a real hypersurface M in the complex quadric Q^m from the equation of Gauss and some important formulas for the structure Jacobi operator R_ξ and its derivatives ∇R_ξ under the Levi-Civita connection ∇ of M. Next we give a complete classification of Hopf real hypersurfaces with Reeb parallel structure Jacobi operator, ∇_ξR_ξ = 0, in the complex quadric Q^m for m ≥ 3. In addition, we also consider a new notion of 𝒞-parallel structure Jacobi operator of M and give a nonexistence theorem for Hopf real hypersurfaces with 𝒞-parallel structure Jacobi operator in Q^m, for m ≥ 3.

• 동의생리병리학회지
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• 제22권4호
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• pp.718-724
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• 2008

In order to classify diseases of oriental medicine in liaison with International Classification of Diseases, there should be intermediation and sharing concepts between the two in addition to proper classification. Classification units were settled for differentiation of diseases or syndromes first. And second, the standard forms of disease classification system were proposed. Third, this classification system was made of serial groupings of syndrome under the traditional disease name. Fourth, the location of disease and the interrelation between different syndromes were depicted with diagram in order to define more clearly. As the results and conclusion, The classification units were composed of 2 categories; topology, organ, meridian, somatic structure, body fluid units for description and various regulatory unit terms of western and traditional medicine for explanation. The mixed classification model of western diseases and traditional syndromes(證) was adopted as a fundamental classification system containing disease by exterior pathogen, systemic internal diseases, psychoneuronal diseases, metabolic diseases, diseases of sense organs, supportive structure diseases, obstetric-gynecology diseases, child diseases, 4-type constitutional diseases. And those were differentiated with generalized, localized, functional, oncogenic, environmental features in detail. The cause, site, condition, dispositions must be expressed in each disease name too. The types of diagnosis using classification system are principal and final diagnosis, principal procedure, main conditions, and these are applied to this Korean classification system equally. For more clarification of differentiation, a plane topological map and three dimensional coordinates were proposed to manifest the location, features and relation of disease itself or each other.

• International Journal of Knowledge Content Development & Technology
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• 제7권2호
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• pp.85-105
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• 2017

Given the variety of approaches to mapping the universe of knowledge that have been presented and discussed in the literature, the purpose of this paper is to systematize their main principles and their applications in the major general modern library classification schemes. We conducted an analysis of the literature on classification and the main classification systems, namely Dewey/Universal Decimal Classification, Cutter's Expansive Classification, Subject Classification of J.D. Brown, Colon Classification, Library of Congress Classification, Bibliographic Classification, Rider's International Classification, Bibliothecal Bibliographic Klassification (BBK), and Broad System of Ordering (BSO). We conclude that the arrangement of the main classes can be done following four principles that are not mutually exclusive: ideological principle, social purpose principle, scientific order, and division by discipline. The paper provides examples and analysis of each system. We also conclude that as knowledge is ever-changing, classifications also change and present a different structure of knowledge depending upon the society and time of their design.

• 한국도서관정보학회지
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• 제34권2호
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• pp.273-296
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• 2003

미래의 분류체계가 모든 주제를 분류의 대상으로 할 때 열거식 분류체계는 조합식 분류체계로 변화되는 것이 요구된다. 이 연구는 그 가능성을 확인하기 위하여 문학류에 대한 새로운 분류체계를 설계하여 제안하였다. 제안된 분류체계는 기호의 조합방법이 간단하며, 패싯에 따라 기호를 다르게 표현하기 때문에 패싯의 의미는 분명하지만 혼합기호를 사용하여 분류기호가 복잡하다.