• 제목/요약/키워드: Information Granules

검색결과 68건 처리시간 0.026초

Splenic Mast Cell Tumors in Two Cats

  • Jung, Ji-Youl;Kim, Nak-Hyoung;Yim, So-Jeong;Hong, Kyung-Hwa;Park, Ja-Sil;Kim, Jae-Hoon
    • 한국임상수의학회지
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    • 제38권2호
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    • pp.82-84
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    • 2021
  • Two 11-year-old cats, female Korean shorthair cat and male Siamese cat, with abdominal distention were presented to the local animal hospitals. Radiographic and ultrasonographic examinations revealed moderate to severe splenomegaly in both cats. In Korean shorthair cat, multiple masses were also existed on the anal and facial skin. Surgically excised whole spleens of two cats were requested for histopathologic examination. Histopathologically, numerous neoplastic round cells with cytoplasmic fine granules were widely infiltrated in the splenic parenchyma. The cytoplasmic granules were metachromatic on toluidine blue staining. These splenic masses were diagnosed as splenic mast cell tumors. Among them, Korean shorthair cat was remained healthy for at least 1 year after splenectomy. Because of no visiting of owner, we were only able to know the information for Siamese cat until 10 months after the splenectomy. To our best knowledge, this is the first detail case reports for splenic mast cell tumors in cats in Korea.

입자개념계층구조를 기반으로 하는 데이터 분석 기법 (A Study on Data Analysis Approach based on Granular Concept Hierarchies)

  • 강유경;황석형;김응희;엄태정
    • 한국컴퓨터정보학회논문지
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    • 제17권3호
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    • pp.121-133
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    • 2012
  • 본 논문에서는 형식개념분석기법에 입자의 정밀도를 조절하기 위해 스케일링 정도(Scaling level)를 도입하여 다양한 관점과 추상화 수준을 토대로 데이터를 분류하는 새로운 기법을 제안하였다. 이 기법의 특징은 주어진 데이터를 다양한 기준에 맞춰서 입자화하고, 입자들 사이에 관계를 토대로 분석하여, 입자개념계층구조(Granular Concept Hierarchy)를 구축함으로써, 데이터를 분석하고자 하는 사용자의 의도 또는 목적에 맞추어서 다양한 분류가 가능하다는 것이다. 또한, 본 연구에서 제안한 기법을 지원하는 도구(G-Tool)를 개발하였으며, 본 연구에서 제안한 기법의 유용성을 검토하기위해 실제 데이터를 대상으로 G-Tool을 사용하여 실험을 실시하였으며, 그 결과 사용자의 목적에 맞는 다양한 형태로 데이터를 분류할 수 있음을 확인하였다. 기존의 형식개념분석기법에는 입자의 정밀도를 조절할 수 없어서 특정한 어느 한 관점에 대한 분류만 가능하였으나, 본 연구에서 제안한 기법은 사용자의 의도 또는 목적에 맞추어서 다양한 종류의 스케일 정보를 조합하고 스케일링 정도를 조절함으로써 다양한 관점을 반영한 다양한 분류가 가능하다.

진화론적 정보 입자에 기반한 퍼지 관계 기반 퍼지 추론 시스템의 최적 설계 (Optimal Design of Fuzzy Relation-based Fuzzy Inference Systems Based on Evolutionary Information Granulation)

  • 박건준;김현기;오성권
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.340-342
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    • 2004
  • In this paper, we introduce a new category of fuzzy inference systems baled on information granulation to carry out the model identification of complex and nonlinear systems. Informal speaking, information granules are viewed as linked collections of objects(data, in particular) drawn together by the criteria of proximity, similarity, or functionality. Granulation of information with the aid of Hard C-Means(HCM) clustering algorithm help determine the initial parameters of fuzzy model such as the initial apexes of the membership functions and the initial values of polyminial functions being used in the premise and consequence part of the fuzzy rules. And the initial parameters are tuned effectively with the aid of the genetic algorithms(GAs) and the least square method. The proposed model is contrasted with the performance of the conventional fuzzy models in the literature.

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Information Granulation-based Fuzzy Inference Systems by Means of Genetic Optimization and Polynomial Fuzzy Inference Method

  • Park Keon-Jun;Lee Young-Il;Oh Sung-Kwun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권3호
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    • pp.253-258
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    • 2005
  • In this study, we introduce a new category of fuzzy inference systems based on information granulation to carry out the model identification of complex and nonlinear systems. Informal speaking, information granules are viewed as linked collections of objects (data, in particular) drawn together by the criteria of proximity, similarity, or functionality. To identify the structure of fuzzy rules we use genetic algorithms (GAs). Granulation of information with the aid of Hard C-Means (HCM) clustering algorithm help determine the initial parameters of fuzzy model such as the initial apexes of the membership functions and the initial values of polynomial functions being used in the premise and consequence part of the fuzzy rules. And the initial parameters are tuned effectively with the aid of the genetic algorithms and the least square method (LSM). The proposed model is contrasted with the performance of the conventional fuzzy models in the literature.

Computing Semantic Similarity between ECG-Information Concepts Based on an Entropy-Weighted Concept Lattice

  • Wang, Kai;Yang, Shu
    • Journal of Information Processing Systems
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    • 제16권1호
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    • pp.184-200
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    • 2020
  • Similarity searching is a basic issue in information processing because of the large size of formal contexts and their complicated derivation operators. Recently, some researchers have focused on knowledge reduction methods by using granular computing. In this process, suitable information granules are vital to characterizing the quantities of attributes and objects. To address this problem, a novel approach to obtain an entropy-weighted concept lattice with inclusion degree and similarity distance (ECLisd) has been proposed. The approach aims to compute the combined weights by merging the inclusion degree and entropy degree between two concepts. In addition, another method is utilized to measure the hierarchical distance by considering the different degrees of importance of each attribute. Finally, the rationality of the ECLisd is validated via a comparative analysis.

유전자적 최적 정보 입자 기반 퍼지 추론 시스템 (Genetically Optimized Information Granules-based FIS)

  • 박건준;오성권;이영일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.146-148
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    • 2005
  • In this paper, we propose a genetically optimized identification of information granulation(IG)-based fuzzy model. To optimally design the IG-based fuzzy model we exploit a hybrid identification through genetic alrogithms(GAs) and Hard C-Means (HCM) clustering. An initial structure of fuzzy model is identified by determining the number of input, the seleced input variables, the number of membership function, and the conclusion inference type by means of GAs. Granulation of information data with the aid of Hard C-Means(HCM) clustering algorithm help determine the initial paramters of fuzzy model such as the initial apexes of the membership functions and the initial values of polyminial functions being used in the premise and consequence part of the fuzzy rules. And the inital parameters are tuned effectively with the aid of the genetic algorithms and the least square method. And also, we exploite consecutive identification of fuzzy model in case of identification of structure and parameters. Numerical example is included to evaluate the performance of the proposed model.

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수불용성 고분자를 이용한 염산벤라팍신의 서방형 과립 설계 (Formulation of Sustained Release Granule for Venlafaxine-HCl Using Water-Insoluble Polymer)

  • 박지선;서진아;정상영;육순홍;신병철;황성주;조선행
    • Journal of Pharmaceutical Investigation
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    • 제37권2호
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    • pp.101-106
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    • 2007
  • Venlafaxine, 1-[2-(dimethylamino)-1-(4-methoxyphenyl)ethyl] cyclohexanol hydrochloride is a novel, nontricyclic antidepressant. venlafaxine is a unique antidepressant that differs structurally from other currently available. The aim ot the study was to formulate sustained-release venlafaxine granules and assess their formulation variables. It consists of two layers, venlafaxine drug layer and sustained release coating layer and manufactured by fluidized bed process. The sustained release of drug could be increased by double-control rising various components in venlafaxine drug layer and sustained-release layer. The drug-containing granules were coated with cellulose acetate, cetyl alcohol and Eudragit RS along with plastisizer such as dibuthyl sebacate as an nano-pore former The release oi venlafaxine depended on the type of Eudragit such as RS, and RL used in the formulation of controlled release layer. These results obtained clearly suggest that the sustained release oral delivery system for venlafaxine could be designed with satisfying drug release profile approved.

개선된 공간 탐색 알고리즘을 이용한 정보입자 기반 퍼지모델 설계 (Design of IG-based Fuzzy Models Using Improved Space Search Algorithm)

  • 오성권;김현기
    • 한국지능시스템학회논문지
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    • 제21권6호
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    • pp.686-691
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    • 2011
  • This study is concerned with the identification of fuzzy models. To address the optimization of fuzzy model, we proposed an improved space search evolutionary algorithm (ISSA) which is realized with the combination of space search algorithm and Gaussian mutation. The proposed ISSA is exploited here as the optimization vehicle for the design of fuzzy models. Considering the design of fuzzy models, we developed a hybrid identification method using information granulation and the ISSA. Information granules are treated as collections of objects (e.g. data) brought together by the criteria of proximity, similarity, or functionality. The overall hybrid identification comes in the form of two optimization mechanisms: structure identification and parameter identification. The structure identification is supported by the ISSA and C-Means while the parameter estimation is realized via the ISSA and weighted least square error method. A suite of comparative studies show that the proposed model leads to better performance in comparison with some existing models.

오리 부고환(副睾丸) 및 정관(精管)의 주령별(週齡別) 조직학적(組織學的) 및 조직화학적(組織化學的) 연구(硏究) (Histological and Histochemical Studies on the Epididymal Region and Deferent Ducts of the Drakes by the Age in Weeks)

  • 이재홍;하창수
    • 대한수의학회지
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    • 제23권2호
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    • pp.137-148
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    • 1983
  • This study was made for the better information of the male reproductive system on the meat-type drake, Cherry Belly X White Golden. The epithelium of ductules of epididymal region and deferent duct were observed histologically and histochemically with the progress of their development. India-ink absorbability on the luminal epithelium was also investigated after the administration of India-ink. The results are as follows; 1. Rete testis and various round ductules in immature form appeared in epididymis within 6 weeks after hatching, and simple cuboidal and simple columnar epithelium were found in the epithelia of the ductules within 8 weeks after hatching. Larger ductules were found on epididymal surface which was in the developing stage near to the immature efferent ductule. From 10th to 20th week, various ductules appeared in epididymis, and developing form of efferent ductules were much more increased on epididymal surface. The luminal epithelium of the ductules were composed of ciliated simple columnar and pseudostratified ciliated columnar cells. At the same time, deferent duct appeared. From the 21th week, various ductules in epididymis became abruptly matured. Lumen of rete testis was lined by simple squamous or simple cuboidal epithelium, and that of efferent ductules, having many folds and being larger than any others were lined by pseudostratified ciliated columnar epithelium in which ciliated columnar cells, non-ciliated cells(clear cells) and basal cells were noted. Connecting tubules of star shaped lumen were composed of pseudostratified ciliated columnar epithelium in which ciliated columnar cells, nonciliated cells, and basal cells were observed. The luminal surface of epididymal ducts was smooth and has thick pseudostratified columnar epithelium which was composed of high columnar cells and basal cells. From 26th week after hatching, sperm pooling was started in various ductules. 2. From 4th to 10th week, simple cuboidal epithelium of deferent duct transformed to simple columnar epithelium with the progress of aging. At the basement of epithelium, clear round cells were noted. From 12th to 20th week, high columnar cells with enlongated nucleus were noted on the luminal border of deferent ducts, forming folds of pseuclostratified columnar epithelium. From 20th week, the deferent duct started to have septa in it's lumen and composed mainly of pseudostratified columnar epithelium, and round cells disappeared. From 20th week, the lumen diameter of deferent duct became wider with the progress of aging, but there was no difference among the values of lumen diameter in upper, middle, and lower part of deferent ducts. At 26th week, the pooling period of sperms in deferent ducts, the lumen diameter became rapidly widen, especially in the lower part of deferent ducts. Thickness of muscular layer of ductus deferens showed gradual growth within 24 weeks but did abrupt thickening from 26th week. 3. Saliva resistant PAS granules were dotted on the top of nucleus in efferent ductules epithelium but the amount of the granules were little in the connecting ductules's epithelium. The granules reactive to acid phosphatase were abundant in the some epithelial cells of efferent ductules and connecting ductules, especially above the nucleus of cells. The granules reactive to alkaline phosphatase were noted on the luminal border of efferent ductules. Parts of free border of efferent ductules and middle portion of deferent ducts were stained slightly by alcian blue technique. India ink granules were found mainly in the epithelium of efferent ductules but were few in that of connecting ductules.

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정보 입자 기반 퍼지 모델의 유전자적 최적화 (Genetic Optimization of Information Granules-based Fuzzy Model)

  • 박건준;이동윤;오성권
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
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    • pp.467-470
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    • 2005
  • 퍼지모델은 주로 경험적 방법에 의해 추출되기 때문에 보다 구체적이고 체계적인 방법에 의한 동정 및 최적화 될 필요성이 요구된다. 따라서 본 논문에서는 퍼지 모델의 전반부 및 후반부의 구조 동정과 파라미터 동정에 있어서 최적의 구조 및 파라미터를 찾기 위해 유전자 알고리즘을 이용한다. 초기 퍼지 모델을 설계하기 위해 유전자 알고리즘을 이용하여 입력 변수의 수, 선택될 입력 변수, 멤버쉽함수의 수, 그리고 후반부 형태를 결정한다. 구축된 퍼지 모델은 유전자 알고리즘에 의해 세대를 거듭하면서 전반부 파라미터를 자동 동조함으로써 최적의 퍼지 모델을 설계한다. 또한 구조 동정 및 파라미터 동정을 동시에 시행함으로서 정보 입자 기반 퍼지 모델의 유전자적 최적화를 도모한다. 마지막으로 제안된 퍼지 모델은 표준 모델로서 널리 사용되는 수치적인 예를 통하여 평가한다.

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