• 제목/요약/키워드: Type classification

검색결과 3,236건 처리시간 0.025초

복합간세포-담관암종 : 병리와 분류 (Combined Hepatocellular-Cholangiocarcinoma : Recent Progressin Pathology and Classification)

  • 최준혁
    • Journal of Yeungnam Medical Science
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    • 제28권1호
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    • pp.1-12
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    • 2011
  • Primary liver carcinomas have classified classified into hepatocellular carcinoma, cholangiocarcinoma, and combined hepatocellular-cholangiocarcinoma (CHC). CHC is a tumor containing unequivocal, intimately mixed elements of both hepatocellular carcinoma and cholangiocarcinoma. It forms a small but significant proportion of primary liver carcinomas. The origin and pathogenesis of CHC have not been well established. According to the 2010 WHO classification, CHCs are categorized into 2 groups: the classical type and a subtype with stem cell features. This review describes recent progress in pathology and classification of CHC.

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북트레일러의 유형에 대한 연구 (A study on Classification of Book Trailers)

  • 김현희
    • 디자인융복합연구
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    • 제14권2호
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    • pp.67-87
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    • 2015
  • 문화 산업과 다양한 정보 기술의 발달로, 영상을 활용한 디지털 마케팅이 활성화 되면서, 과거 인쇄 광고에 의지해 오던 출판 업계는 영화 트레일러와 유사한 북트레일러(Book Trailer)를 홍보 수단으로 활용하기 시작했다. 본 연구에서는 앞으로 더욱 활성화 될 것이라 예상되는 북트레일러에 대한 연구가 국내외적으로 부족하여, 체계적인 기초 연구를 바탕으로 북트레일러가 발전할 기초 토대를 마련할 필요가 있다고 판단하여 본 연구를 진행하게 되었다. 본 연구에서는 북트레일러에 대한 기초 개념을 확립하는 동시에 북트레일러의 유형을 분류 해 보았다. 유형에 영향을 주는 여러 요인이 있지만, 본 연구에서는 유형 분류에 있어 가장 기본이 되는 내용적 유형과 외형적 유형을 기준으로 유형을 구분하였다. 내용적 유형은 북트레일러의 내용에 따라, 그리고 외형적 유형은 북트레일러의 이미지 조합에 따라 유형을 나누었다. 결과적으로 내용적 유형은 스토리의 구성 요소를 토대로 메시지 활용형, 갈등 활용형, 인물 활용형으로 분류 할 수 있었고, 형식적 유형은 북트레일러를 구성하는 이미지의 조합에 따라 스틸 사진 활용형, 모션 타이포그라피 형, 인터뷰형, 영화 스토리 촬영형, 애니메이션형으로 유형을 분류 할 수 있었다.

독일의 비오톱 유형분류에 대한 고찰 (A Study on the Classification of Biotope Type in Germany)

  • 최일기;이은희
    • 한국조경학회지
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    • 제35권5호
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    • pp.73-81
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    • 2007
  • The purpose of this study is to derive policy suggestions and new orientations for biotope mapping in Korea from a review of case studies on the classification of biotope typesin Germany. This study was conducted in the following manner: First, the related literature and data on biotopes in Germany was collected. Second, the representative examples at the provincial government level and urban and residential areas were selected. Finally, the characteristics of biotope types, biotope classification systems, and biotope classification criteria were reviewed. The results of reviewing the case examples in Germany are as follows: First, the biotope types at the provincial government level were composed of patterns which existed mostly in natural areas and the corresponding areas of their conditions. Those in urban and residential areas were made up of patterns which were distributed in urban areas and their peripheries. Second, the biotope classification systems at the provincial government level consisted of three steps:large, medium and small. Those in urban and residential areas were made up of two steps: medium and small. However, it is strongly recommended to introduce the biotope classification system composed of three steps. Third, the biotope classification criteria at the provincial government level considered ecological factors and anthropogenic factors except land use forms. Those in urban and residential areas reflected mostly anthropogenic factors and ecological factors. In conclusion, this study suggests that future biotope surveys and mapping in Korea should be investigated not only in urban areas but also in natural and semi-natural areas. In addition, a specified biotope type classification system should be established in Korea.

위성영상 종류에 따른 분리도 특성 (Class Separability according to the different Type of Satellite Images)

  • 손경숙;최현;김시년;강인준
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 춘계학술발표회논문집
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    • pp.245-250
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    • 2004
  • The classification of the satellite images is basic part in Remote sensing. In classification of the satellite images, class separability feature is very effective accuracy of the images classified. For improving classification accuracy, It is necessary to study classification methode than analysis of class separability feature deciding classification probability. In this study, IKONOS, SPOT 5, Landsat TM, were resampled to sizes 1m grid. Above images were calculated the class separability prior to the step for classification of pixels. The results of the study were valued necessary process in geometric information building. This study help to improve accuracy of classification as feature of class separability in the class through optimizing previous classification steps.

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Filtering Effect in Supervised Classification of Polarimetric Ground Based SAR Images

  • Kang, Moon-Kyung;Kim, Kwang-Eun;Cho, Seong-Jun;Lee, Hoon-Yol;Lee, Jae-Hee
    • 대한원격탐사학회지
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    • 제26권6호
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    • pp.705-719
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    • 2010
  • We investigated the speckle filtering effect in supervised classification of the C-band polarimetric Ground Based SAR image data. Wishart classification method was used for the supervised classification of the polarimetric GB-SAR image data and total of 6 kinds of speckle filters were applied before supervised classification, which are boxcar, Gaussian, Lopez, IDAN, the refined Lee, and the refined Lee sigma filters. For each filters, we changed the filtering kernel size from $3{\times}3$ to $9{\times}9$ to investigate the filtering size effect also. The refined Lee filter with the kernel size of bigger than $5{\times}5$ showed the best result for the Wishart supervised classification of polarimetric GB-SAR image data. The result also showed that the type of trees could be discriminated by Wishart supervised classification of polarimetric GB-SAR image data.

인공지지체 불량 검출을 위한 딥러닝 모델 성능 비교에 관한 연구 (A Comparative Study on Deep Learning Models for Scaffold Defect Detection)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제20권2호
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    • pp.109-114
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    • 2021
  • When we inspect scaffold defect using sight, inspecting performance is decrease and inspecting time is increase. We need for automatically scaffold defect detection method to increase detection accuracy and reduce detection times. In this paper. We produced scaffold defect classification models using densenet, alexnet, vggnet algorithms based on CNN. We photographed scaffold using multi dimension camera. We learned scaffold defect classification model using photographed scaffold images. We evaluated the scaffold defect classification accuracy of each models. As result of evaluation, the defect classification performance using densenet algorithm was at 99.1%. The defect classification performance using VGGnet algorithm was at 98.3%. The defect classification performance using Alexnet algorithm was at 96.8%. We were able to quantitatively compare defect classification performance of three type algorithms based on CNN.

Type III 치내치를 동반한 상악 측절치에 이환된 치근단 병소의 근관 치료 (ENDODONTIC TREATMENT OF A PERIRADICULAR LESION ON AN INVAGINATED TYPE III MAXILLARY LATERAL INCISOR)

  • 김기림;이제호;김성오;송제선;최병재;김승혜;최형준
    • 대한소아치과학회지
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    • 제39권2호
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    • pp.181-185
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    • 2012
  • 치내치는 치아 조직이 석회화되기 전에 법랑기가 치유두 내로 함입되어 형성된 발육성 기형이다. 가장 널리 통용되는 치내치의 분류법은 방사선 사진 상에서 함입(invagination)이 얼마나 치관에서 치근 쪽으로 연장되어 있는지에 따라 분류하는 Oehler's classification system이다. 그 중 Oehler's classification type III는 함입이 치근까지 연장되어 치주인대와 직접적으로 'pseudo foramen'을 통해 교통하는 경우를 말하며 대체로 치수와는 독립적으로 존재한다. Type III 함입을 통한 감염은 언제나 치주조직의 염증성 반응을 야기할 가능성이 있으며, 이처럼 'pseudo foramen' 주위로 염증성 병변이 발생한 경우 이를 'peri-invagination periodontitis'라 한다. 본 증례는 Oehler's type III 치내치를 갖는 상악 측절치의 'peri-invagination periodontitis'을 주소로 내원한 두 환자에게 각각 다른 치료적 접근을 통하여 양호한 결과를 얻었다. 치내치에 대한 처치 시 조기 진단과 예방적 치료를 통한 치수의 건강 유지가 매우 중요하나, 이미 치수까지 질환에 이환 되었을 경우 환아의 나이, 치근 성숙도, 함입의 종류, 염증의 치수 이환 여부 등을 고려하여 치료계획을 수립해야 한다.

수문학적 토양군의 분류기준에 따른 SCS CN 및 유출변화특성에 관한 연구 (Study on SCS CN Estimation and Flood Flow Characteristics According to the Classification Criteria of Hydrologic Soil Groups)

  • 안승섭;박노삼;고수현;송인렬
    • 한국환경과학회지
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    • 제15권8호
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    • pp.775-784
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    • 2006
  • In this study, CN value was estimated by using detailed soil map and land cover characteristic against upper basin of Kumho watermark located on the upper basin of Kumho river and the hydrologic morphological characteristic factors were extracted from the basin by using the DEM document. Also the runoff analysis was conducted by the WMS model in order to study how the assumed CN value affects the runoff characteristic. First of all, as a result of studying the soil type in this study area, mostly D type soil was Identified by the application of the 1987 classification criteria. However, by that in 1995, B type soil and C type soil were distributed more widely in that area. When CN value was classified by the 1995 classification criteria, it was estimated lower than in 1987, as a result of comparing the estimated CNs by those standars. Also it was assumed that CN value was underestimated when the plan for Geum-ho river maintenance was drawn up. As a result of the analysis of runoff characteristic, the pattern of generation of the classification criteria of soil groups appeared to be similar, but in the case of the application of the classification criteria in 1995, the peak rate of runoff was found to be smaller on the whole than in the case of the application of the classification criteria in 1987. Also when the statistical data such as the prediction errors, the mean squared errors, the coefficient of determination and other data emerging from the analysis, was looked over in total, it seemed appropriate to apply the 1995 classification criteria when hydrological soil classification group was applied. As the result of this study, however, the difference of the result of the statistical dat was somewhat small. In future study, it is necessary to follow up evidence about soil application On many more watersheds and in heavy rain.

기상레이더를 이용한 최적화된 Type-2 퍼지 RBFNN 에코 패턴분류기 설계 (Design of Optimized Type-2 Fuzzy RBFNN Echo Pattern Classifier Using Meterological Radar Data)

  • 송찬석;이승철;오성권
    • 전기학회논문지
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    • 제64권6호
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    • pp.922-934
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    • 2015
  • In this paper, The classification between precipitation echo(PRE) and non-precipitation echo(N-PRE) (including ground echo and clear echo) is carried out from weather radar data using neuro-fuzzy algorithm. In order to classify between PRE and N-PRE, Input variables are built up through characteristic analysis of radar data. First, the event classifier as the first classification step is designed to classify precipitation event and non-precipitation event using input variables of RBFNNs such as DZ, DZ of Frequency(DZ_FR), SDZ, SDZ of Frequency(SDZ_FR), VGZ, VGZ of Frequency(VGZ_FR). After the event classification, in the precipitation event including non-precipitation echo, the non-precipitation echo is completely removed by the echo classifier of the second classifier step that is built as Type-2 FCM based RBFNNs. Also, parameters of classification system are acquired for effective performance using PSO(Particle Swarm Optimization). The performance results of the proposed echo classifier are compared with CZ. In the sequel, the proposed model architectures which use event classifier as well as the echo classifier of Interval Type-2 FCM based RBFNN show the superiority of output performance when compared with the conventional echo classifier based on RBFNN.

시정계와 위성 관측 자료를 활용한 남한 안개의 객관적인 유형 분류와 특성 분석 (Objective Classification of Fog Type and Analysis of Fog Characteristics Using Visibility Meter and Satellite Observation Data over South Korea)

  • 이현경;서명석
    • 대기
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    • 제29권5호
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    • pp.639-658
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    • 2019
  • The classification of fog type and the characteristics of fog based on fog events over South Korea were investigated using a 3-year (2015~2017) visibility meter data. One-minute visibility meter data were used to identify fog with present weather codes and surface observation data. The concept of fog events was adopted for the better definition of fog properties and more objective classification through the detailed investigation of life cycle of fog. Decision tree method was used to classify the fog types and the final fog types were radiation fog, advection fog, precipitation fog, cloud base lowering fog and morning evaporation fog. We enhanced objectivity in classifying the types of fog by adding the satellite and the buoy observations to the conventional usage of AWS and ceilometer data. Radiation fog, the most common type in South Korea, frequently occurs in inland during autumn. A considerable number of advection fogs occur in island area in summer, especially in July. Precipitation fog accounts for more than a quarter of the total fog events and frequently occurs in islands and coastal areas. Cloud base lowering fog, classified using ceilometer, occurs occasionally for all areas but the occurrence rate is relatively high in east and west coastal area. Morning evaporation fog type is rarely observed in inland. The occurrence rate of thick fog with visibility less than 100 meters is amount to 21% of total fog events. Although advection fog develops into thick fog frequently, radiation fog shows the minimum visibility, in some cases.