• Title/Summary/Keyword: Region classification

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A Study on the Spatial Organization of Outpatient departments in the Infectious Disease Hospital by Region (권역별 감염병전문병원의 통원진료부문 공간구성에 관한 연구)

  • Lee, Joo Rang
    • Journal of the Korean Institute of Rural Architecture
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    • v.26 no.2
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    • pp.73-84
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    • 2024
  • This study investigated the outpatient departments of Infectious Disease Hospitals by Region, which play an important role in establishing regional medical networking, to find a spatial structure that can provide a safe environment for efficient diagnosis and treatment, as well as a rational medical procedure in case of crisis. Department layout and adjacencies were derived by considering the access procedures according to patient classification, medical procedures by department, and connectivity with other departments. Based on the results derived by setting up zones according to infection control, activities, and objects, and analyzing the division of zones, the composition of areas by activities, movement flows by objects and treatment units, it can be used as basic data for the architectural plan of the Infectious Disease Hospital. Also, there are implications that can be used as basic data for planning related facilities by analyzing spatial relationships according to user behavior.

Feature Voting for Object Localization via Density Ratio Estimation

  • Wang, Liantao;Deng, Dong;Chen, Chunlei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.12
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    • pp.6009-6027
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    • 2019
  • Support vector machine (SVM) classifiers have been widely used for object detection. These methods usually locate the object by finding the region with maximal score in an image. With bag-of-features representation, the SVM score of an image region can be written as the sum of its inside feature-weights. As a result, the searching process can be executed efficiently by using strategies such as branch-and-bound. However, the feature-weight derived by optimizing region classification cannot really reveal the category knowledge of a feature-point, which could cause bad localization. In this paper, we represent a region in an image by a collection of local feature-points and determine the object by the region with the maximum posterior probability of belonging to the object class. Based on the Bayes' theorem and Naive-Bayes assumptions, the posterior probability is reformulated as the sum of feature-scores. The feature-score is manifested in the form of the logarithm of a probability ratio. Instead of estimating the numerator and denominator probabilities separately, we readily employ the density ratio estimation techniques directly, and overcome the above limitation. Experiments on a car dataset and PASCAL VOC 2007 dataset validated the effectiveness of our method compared to the baselines. In addition, the performance can be further improved by taking advantage of the recently developed deep convolutional neural network features.

Definitions of groove and hollowness of the infraorbital region and clinical treatment using soft-tissue filler

  • Lee, Ji-Hyun;Hong, Giwoong
    • Archives of Plastic Surgery
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    • v.45 no.3
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    • pp.214-221
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    • 2018
  • Clarification is needed regarding the definitions and classification of groove and hollowness of the infraorbital region depending on the cause, anatomical characteristics, and appearance. Grooves in the infraorbital region can be classified as nasojugal grooves (or folds), tear trough deformities, and palpebromalar grooves; these can be differentiated based on anatomical characteristics. They are caused by the herniation of intraorbital fat, atrophy of the skin and subcutaneous fat, contraction of the orbital part of the orbicularis oculi muscle or squinting, and malar bone resorption. Safe and successful treatment requires an optimal choice of filler and treatment method. The choice between a cannula and needle depends on various factors; a needle is better for injections into a subdermal area in a relatively safe plane, while a cannula is recommended for avoiding vascular compromise when injecting filler into a deep fat layer and releasing fibrotic ligamentous structures. The injection of a soft-tissue filler into the subcutaneous fat tissue is recommended for treating mild indentations around the orbital rim and nasojugal region. Reducing the tethering effect of ligamentous structures by undermining using a cannula prior to the filler injection is recommended for treating relatively deep and fine indentations. The treatment of mild prolapse of the intraorbital septal fat or broad flattening of the infraorbital region can be improved by restoring the volume deficiency using a relatively firm filler.

New Perspectives in Pottery Typology of Korean Archaeology - Related to the Typology of Chungdo-Type Pottery from the Youngdong Region - (토기의 형식분류론에서 제기되는 몇 가지 문제에 대하여 - 영동지역 출토「중도식」토기편년과 관련하여 -)

  • Lee, Jun-Ho
    • Korean Journal of Heritage: History & Science
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    • v.36
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    • pp.87-104
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    • 2003
  • The Chungdo-type Pottery Culture, distributed through the middle part of the Korean peninsula, is chronologically located in the very former stage of the advent of ancient states. It has two different traditions of pottery manufacturing technique which are totally different in choosing raw materials, shaping, fixing and firing. It seems that two different traditions had been selectively applied by pottery type. In order to understand this peculiar cultural aspect, the pottery typology needs to be different from those applied to cultures where pottery was made and used under the single manufacturing tradition. This study tries to find the new pottery typology which best fits for the understanding the chronology of the Chungdo-Type Pottery Culture. For this purpose, I examined existing typologies, recognized their problems, and then build a new typology. As a result, I found that the former typologies misinterpreted the relative frequencies of each pottery type as different function or region. In this article, I propose the new pottery typology as building a primary classification within each function and region, and then synthesizing all of primary classifications. This new typology eliminates the factors of function and region in understanding the chronology of the Chungdo-Type Pottery Culture, and assorts the regional distinction by comparing pottery types in each region.

Regional Development and Regional Geography (지역개발론(地域開發論)과 지역지리학(地域地理學))

  • Kim, Duk-Hyun
    • Journal of the Korean association of regional geographers
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    • v.8 no.2
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    • pp.170-183
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    • 2002
  • Recently it is supposed to be a shift to regional geography. To understand the emergence of the new regional geography, It must be remarked that the progress of capitalist production and consumption change our conceptional apparatus such as representation of space. Region is one of the important mode of representations of space and time. In the Fordist capitalism of 20th century, development is regarded as diffusion of capitalist expansion of western worlds. State must support capitalist growth through regional policies which include constructing of infrastructure and regionalization of spatial division of labour. The regional development theories contributed as ideology and policy tools for state intervention. The region was simply one of the most logical classification tools of organizing geographical informations. In the theories of regional development, the concept of region was reduced to the formal unit of classification. As the transition from Fordism to flexible accumulation, the region is again acquiring its 'identity' and 'authenticity'. In this tendency of the revival of region, it is expected that good achievement could be made in the field of regional geography through relevant research methods. It is also believed one of the available means are historical approaches to the cultural and ecological regions. The historical approaches to cultural and ecological regions are not only correspondent with cultural development strategies of local governments, but also could convey regional identities through both narrativization of place and aestheticization of landscape.

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Classification of Rural Area by AHP Method (AHP법을 이용한 농촌지역유형 구분)

  • YANG, Won-Sik;KIM, Young-Joo;KO, Young-Bae;YOON, Yong-Cheol
    • Journal of agriculture & life science
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    • v.43 no.1
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    • pp.61-71
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    • 2009
  • The objectives of this study were to confirm the necessity of classifying rural areas into several zone, which is being required to carry out vanous regional development projects in rural areas sponsored by govermnent effectively, make the standard for the classification. To summarize the results obtained from this study are as follows Based on the evaluation on the resource amount, the region of eup and myeon in the five gun were classified into five type(A, B, C, D, E). From the classification result, 6 eup and myeon were classified into A type, 13 eup and myeon into B type, 14 eup and myeon into C type, 18 eup and myeon into D type, 11 eup and myeon into E type. This showed that the five belts were distributed evenly in the five gun. The regions of eup and key myeon in each gun were classified into A type(Urbanization). The evaluation on the resource amount of the region that held beautiful view of nature and great tourist attractions was high although the region was close to E type (Mountains) in geographical feature. The regional characteristics of each eup or myeon are different although eup and myeon that were located in the same gun or adjacent each other. Therefore, it is thought that when the project for development of rural areas is planned, the regional characteristic of each eup and myeon should be considered to utilize the potential of each region fully. In summary, it is believed that to get productive results from the development Project in rural areas, strategics should be different based on the regional characteristic of each zone.

Physical Geography of Sangju, Korea (상주(尙州)의 자연지리)

  • Son, Myoung-Won
    • Journal of the Korean association of regional geographers
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    • v.8 no.3
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    • pp.281-294
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    • 2002
  • Inhabitants make a specific cultural landscape in various ways according to his culture. In this paper, I consider the characteristics of cultural landscapes distributed in Sangju. I divide Sangju-City Area owing to physical criteria(relief and drainage basin}, appreciate them according to human criteria(administrative district of Joseon Period, dialects, periodical market area} and classify into 6 small regions: (1) Nakyang Region is the traditionally central place based on alluvial plain marginal to Byeongseong stream and Dong stream, and on hills of Sabeol. (2) Nakdong Region is the traffic center which the water transport of Nakdong river and the land transport of Yeongnamdaero cross each other. (3) The upstream region of Byungseong stream is the agricultural region connected with Nakyang Region. (4) Jungmo Region is a intermontane basin where grape cultivation using its specific climate flourish. (5) Wharyeong Region is a mountainous sightseeing district based on the beautiful scenery and Gyeonwhueon's remains of Sogni mountains and Yongyu valley. (6) Hamnyeong Region is the district of Goryeonggaya realm where 3 whites(cocoon, dried persimmon, rice) are abundant.

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Development and Evaluation of Image Segmentation Technique for Object-based Analysis of High Resolution Satellite Image (고해상도 위성영상의 객체기반 분석을 위한 영상 분할 기법 개발 및 평가)

  • Byun, Young-Gi;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.6
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    • pp.627-636
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    • 2010
  • Image segmentation technique is becoming increasingly important in the field of remote sensing image analysis in areas such as object oriented image classification to extract object regions of interest within images. This paper presents a new method for image segmentation to consider spectral and spatial information of high resolution satellite image. Firstly, the initial seeds were automatically selected using local variation of multi-spectral edge information. After automatic selection of significant seeds, a segmentation was achieved by applying MSRG which determines the priority of region growing using information drawn from similarity between the extracted each seed and its neighboring points. In order to evaluate the performance of the proposed method, the results obtained using the proposed method were compared with the results obtained using conventional region growing and watershed method. The quantitative comparison was done using the unsupervised objective evaluation method and the object-based classification result. Experimental results demonstrated that the proposed method has good potential for application in the object-based analysis of high resolution satellite images.

Performance Comparison of Blocking Artifact Reduction Using a Block Boundary Region Classification (블록 경계 영역 분류를 이용한 블록화 현상 제거 기법의 성능 비교)

  • 소현주;장익훈;김남철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.10B
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    • pp.1921-1936
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    • 1999
  • In this paper, we analyze the blocking artifact in block transform-coded images and propose a classification algorithm which classifies each horizontal and vertical block boundary into four regions of EQ, BA, EE, and AE according to the characteristics of the blocking artifact. We also compare the performance of several blocking artifact reduction methods which can reduce blocking artifact in block transform-coded images well. As the blocking artifact reduction methods, the LOT, Kim's wavelet transform-based method, Yang's POCS, Paek's POCS, and Jang's CM have been selected. Experimental results show that each horizontal and vertical block boundary classified by using the proposed classification algorithm yields different characteristics of discontinuities due to the blocking artifact according to the classified region. It is also shown that the blocking artifact reduction methods using wavelet transform yield better performance over the other methods.

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Medicine-Bottle Classification Algorithm Based on SIFT (SIFT 기반의 약통 분류 시스템)

  • Park, Kil Houm;Cho, Woong Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.1
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    • pp.77-85
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    • 2014
  • Medicine-bottle classification algorithm to avoid medicine accidents must be robust to a geometric change such as rotation, size variation, location movement of the medicine bottles. In this paper, we propose an algorithm to classify the medicine bottles exactly in real-time by using SIFT(Scale Invariant Feature Transform) which is robust to the geometric change. In first, we classify medicine bottles by size using minimum boundary rectangle(MBR) of medicine bottles as a striking feature in order to classify the medicine bottles. We extract label region in the MBR and the region of interest(ROI) considering rotation. Then, we classify medicine bottles using SIFT for the extracted ROI. We also simplify the number of octave of SIFT in order to improve a process speed of SIFT. We confirm to classify all the medicine bottles exactly as a result of performance evaluation of the proposed algorithm about images of 250 medicine bottles. We also confirm to improve the process time more than twice the processing time by simplifying the number of octave of SIFT.