• 제목/요약/키워드: comparing region

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다중 관심영역 기반 이미지 검색 방법 (Multiple Region-of-Interest Based Image Retrieval Method)

  • 이종원;낭종호
    • 한국정보과학회논문지:시스템및이론
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    • 제37권5호
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    • pp.314-318
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    • 2010
  • 본 논문에서는 사용자가 관심을 갖는 다중 영역기반(ROI)으로 이미지를 검색하는 방법을 제안한다. 제안한 방법은 이미지를 블록으로 구분한 후 사용자가 선택한 다중 ROI와 겹치는 부분을 선택하고 해당 블록의 MPEG-7 도미넌트 컬러와 블록의 상대적 위치를 고려하여 유사도를 측정한다. 실험결과 제안한 방법은 전역 이미지 검색이나 동일한 위치의 블록만 비교하는 경우보다 높은 성능향상을 나타냈고, 다중 ROI의 경우 상대적 위치를 고려하는 방법이 다른 방법에 비해 우수한 성능을 나타냈다.

사회네트워크 분석을 이용한 광주 전남지역의 공간 구조 변화 및 중심지 분석 (Analysis of Spatial Structures and Central Places of Gwangju and Jeonnam Region using Social Network Analysis)

  • 이지민
    • 농촌계획
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    • 제23권2호
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    • pp.43-54
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    • 2017
  • When an age of low growth and population decline, population migration plays an important role in spatial structure of region. There have been many researches on migration and regional spatial structure. The purpose of this study is to examine the changes of Gwangju and Jeonnam region's spatial structure and central area using social network analysis methods. For analysis it was used that population and migration data and passenger OD(Origin and Destination) travel data released by Statistics Korea and Korea Transport Database(KTDB). Using Gephi 0.8.2, migration and passenger OD networks were visualized, and this describe network flow and density. The results of the network centrality analysis show that the most populated village is not always network center though population mass is an important factor of central places. The average eigenvector centrality of 2010 migration is the lowest during 2005-2015, and it means few regions have high centralities. When comparing migration and travel networks, travel data is more effective than migration data in determining the central location considering spatial functions.

혼합 다채널 사형 유로의 혼합영역이 PEMFC 성능에 미치는 영향 (The Effect of Mixing Region in Mixed Multiple Serpentine Flow-field to PEMFC Performance)

  • 이지홍;이명용;김헌주;이상석;이도형
    • 한국수소및신에너지학회논문집
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    • 제20권4호
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    • pp.265-273
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    • 2009
  • Proton Exchange Membrane Fuel Cell (PEMFC) has low operating temperature and high efficiency. And PEMFC consists of many components as bipolar plate, gas diffusion layer, membrane etc.. Flow-field in bipolar plate roles path for transporting reactants to membrane. Therefore a design of flow-field has an effect on PEMFC's performance. In this study, Computational Fluid Dynamics (CFD) simulations were performed for comparing mixed multiple serpentine (MMS) flow-field and multiple serpentine (MS) flow-field. And we studied an effect according to change mixing region design in MMS flow-field. Finally the applicability of results is verified by performing CFD simulation about fixed MMS flow-field which is combined good designs.

Photometry of MIRIS Paschen-α blobs detected in Cepheus

  • Kim, Il-Joong;Pyo, Jeonghyun;Jeong, Woong-Seob;Park, Won-Kee;Kim, Min Gyu;Lee, Dukhang;Moon, Bongkon;Park, Sung-Joon;Park, Youngsik;Lee, Dae-Hee;Han, Wonyong
    • 천문학회보
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    • 제41권2호
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    • pp.55.3-55.3
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    • 2016
  • By comparing MIRIS Paschen-${\alpha}$ ($Pa{\alpha}$) Galactic Plane Survey (MIPAPS) data with Anderson's H II region catalog (the most complete Galactic H II region catalog up to date), we confirmed $Pa{\alpha}$ detections from ~50% of the H II region candidates in Cepheus (Galactic longitude from $+96^{\circ}$ to $116^{\circ}$). The detection of the hydrogen recombination line identifies these candidates as clear H II regions. If we extend this result to the whole plane, more than 1000 candidates are expected to be identified as H II regions. In this contribution, we present the results of quantitative estimations (brightness, size, etc.) for the $Pa{\alpha}$ blobs detected in Cepheus. To obtain intensity of $Pa{\alpha}$ emission line, we perform background and point spread function (PSF) matching between two filter images (line and continuum filters) as well as flux calibration.

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문자인식을 위한 특징벡터의 부분 정보를 이용한 대분류 방법 (A Rough Classification Method for Character Recognition Based on Patial Feature Vectors)

  • 강선미;오근창;황승욱;양윤모;김덕진
    • 한국통신학회논문지
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    • 제18권1호
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    • pp.32-38
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    • 1993
  • 본 논문에서는 문자 인식을 위한 효율적인 대분류 방법을 제안하였다. 기존의 대분류 방법은 입력된 문자를 인식 대상문자마다 미리 작성된 표준 특징벡터와 유사와 계산에 의해 인식 후보문자들을 선정하는 것이었으나, 제안한 대분류 방식은 유사한 문자들을 같은 그룹으로 모아서 그 그룹에 속한 문자들의 평균 값을 대표값으로 사용하는 것이다. 문자의 영역을 몇개의 소영역으로 분할하고, 각 소영역에 해당되는 부분벡터로 ISODATA 알고리즘을 이용하여 적당한 수의 그룹을 형성한다. 입력분자의 부분정보에 해당되는 소영역의 부분특징벡터와 대응되는 그룹들과의 거리를 계산한 후, 부분과의 거리 값을 최종적으로 다시 모아서 전체 거리 정보로 이용한다. 이러한 대분류 방법은 일반적인 방법에 비해 처리속도 면에서의 향상과 분류면에서의 확실성을 갖게 되었다.

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Phylogenetic Analysis of Pines Based on Chloroplast trnT-trnL Intergenic Spacer DNA Sequences

  • Um, Yurry;Park, Won-Kyu;Jo, Nam-Su;Han, Sim-Hee;Lee, Yi
    • Journal of Forest and Environmental Science
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    • 제30권3호
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    • pp.307-313
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    • 2014
  • This study was conducted to distinguish the pines that are too similar to differentiate using conventional methods. Pinus densiflora and Pinus sylvestris have similar anatomical structure. They both have window-like pits and dentate ray tracheids, so it is not easy to distinguish the plants. We tried to find molecular markers by comparing chloroplast DNA sequences to differentiate the pines growing in Korea. We used P. densiflora, P. densiflora for. multicaulis, P. sylvestris, P. rigida, P. rigitaeda, P. koraiensis, and P. bungeana for this study. We found that the non-coding intergenic region of trnT(UGU) and trnL(UAA) genes have differences among the species. We designed a primer set to amplify the region efficiently and compared the PCR product sequences using CLC Workbench programs to find the polymorphism. We could distinguish the species using the sequences of the amplified region and the sequences were reproducible from the pines collected in Korea.

크리깅 모델을 이용한 순차적 근사최적화 (Sequential Approximate Optimization Using Kriging Metamodels)

  • 신용식;이용빈;류제선;최동훈
    • 대한기계학회논문집A
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    • 제29권9호
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    • pp.1199-1208
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    • 2005
  • Nowadays, it is performed actively to optimize by using an approximate model. This is called the approximate optimization. In addition, the sequential approximate optimization (SAO) is the repetitive method to find an optimum by considering the convergence of an approximate optimum. In some recent studies, it is proposed to increase the fidelity of approximate models by applying the sequential sampling. However, because the accuracy and efficiency of an approximate model is directly connected with the design area and the termination criteria are not clear, sequential sampling method has the disadvantages that could support an unreasonable approximate optimum. In this study, the SAO is executed by using trust region, Kriging model and Optimal Latin Hypercube design (OLHD). Trust region is used to guarantee the convergence and Kriging model and OLHD are suitable for computer experiment. finally, this SAO method is applied to various optimization problems of highly nonlinear mathematical functions. As a result, each approximate optimum is acquired and the accuracy and efficiency of this method is verified by comparing with the result by established method.

적응적 얼굴 검출기와 칼만 필터를 이용한 실시간 얼굴 추적 시스템 (Real-Time Face Tracking System using Adaptive Face Detector and Kalman Filter)

  • 김종호;김상균;신범주
    • 한국IT서비스학회지
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    • 제6권3호
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    • pp.241-249
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    • 2007
  • This paper describes a real-time face tracking system using effective detector and Kalman filter. In the proposed system, an image is separated into a background and an object using a real-time updated face color for effective face detection. The face features are extracted using the five types of simple Haar-like features. The extracted features are reinterpreted using Principal Component Analysis (PCA), and interpreted principal components are used for Support Vector Machine (SVM) that classifies the faces and non-faces. The moving face is traced with Kalman filter, which uses the static information of the detected faces and the dynamic information of changes between previous and current frames. The proposed system sets up an initial skin color and updates a region of a skin color through a moving skin color in a real time. It is possible to remove a background which has a similar color with a skin through updating a skin color in a real time. Also, as reducing a potential-face region using a skin color, the performance is increased up to 50% when comparing to the case of extracting features from a whole region.

농촌용 수로의 유형에 따른 토사 퇴적량 예측 (Prediction of Sediment according to Type of Rural Canal)

  • 송창섭;임성윤
    • 한국농공학회논문집
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    • 제56권6호
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    • pp.121-128
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    • 2014
  • Development of the economic methods and the design of the standard sections needs the more project fund and land than ever leads to the objection of enlarging canal arrangement to need economic construction method development and standard design for supporting it. The objective of this study was to evaluate the performance of selected sediment reduction methods to reduce sediment discharges from drain and irrigation of different land types (Mountain, Flatten, Reclaimed land). This study was carried out to analysis for the soil loss and sediment of drain and irrigation by comparing RUSLE method and amount of sediment from amount of dredging data of Korea Rural Corporation. The results of study were analyzed and summarized as follow. Size of soil sediment from the upper region of drain and irrigation of mountains bigger than lower region. But in case of flatten and reclaimed land, size of soil sediment from the upper and lower region of drain and irrigation did not classified. In case of comparison drain and irrigation without classifying of land type, size of soil sediment from irrigation is bigger than drain.

Probabilistic Location Choice and Markovian Industrial Migration a Micro-Macro Composition Approach

  • Jeong, Jin-Ho
    • 지역연구
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    • 제11권1호
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    • pp.31-60
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    • 1995
  • The distribution of economic activity over a mutually exclusive and exhaustive categorical industry-region matrix is modeled as a composition of two random components: the probability-like share distribution of jobs and the dynamic evolution of absolute aggregates. The former describes the individual activity location choice by comparing the predicted profitability of the current industry-region pair against that of all other alternatives based on the available information on industry-specific, region specific, or activity specific attributes. The latter describes the time evolution of macro-level aggregates using a dynamic reduced from model. With the seperation of micro choice behavior and macro dynamic aggregate constraint, the usual independence and identicality assumptions become consistent with the activity share distribution, hence multi-regional industrial migration can be represented by a set of probability evolution equations in a conservative Markovian from. We call this a Micro-Macro Composition Approach since the product of the aggregate prediction and the predicted activity share distribution gives the predicted activity distribution gives the predicted activity distribution which explicitly considers the underlying individual choice behavior. The model can be applied to interesting practical problems such as the plant location choice of multinational enterprise, the government industrial ploicy to attract international firms, and the optimal tax-transfer mix to influence activity location choice. We consider the latter as an example.

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