• Title/Summary/Keyword: Component Map

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Phytosociological Study on the Vegetation of Mt. Mudeung (無等山의 植生에 對한 植物社會學的 硏究)

  • Kim, Chul-Soo;Jang-Geun Oh
    • The Korean Journal of Ecology
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    • v.16 no.1
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    • pp.93-114
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    • 1993
  • The vegetation of Mt. Mudeung was investigated from April, 1991 to September, 1992. The units of vegetation were classified 10 units by the Braun-Blanquet's phytosociological method. The forest vegetation was classified into 10 communities, Pinus densiflora, Pinus vigida, Chamaecyparis obtusa afforestation, Quercus mongolica, Q. variabilis, Q. serrata, Q. acutissima, Miscanthus sinensis var. purpurascens, Hylomecon hylomeconoides and Drosera rotundifolia community. Based on the classification, the actual vegetation map and degree of green naturality were drawn in 1:50,000 scale. The vertical distribution of the main component species was investigated based on the vegetation data of the EN slope and SW slope of Mt. Mudeung from altitude 200m to top.

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Brake Squeal Noise Due to Disk Run-out (디스크 런아웃에 기인한 브레이크 스퀼소음)

  • Lim, Jae-Hoon;Cho, Sung-Jin;Choi, Yeon-Sun
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.595-600
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    • 2004
  • This paper deals with a cause analysis of a squeal noise in a brake system. It has been proved that the squeal noise is influenced by the angular misalignment of a disk, disk run-out, with the previously experimental study. In this study, a cause of the noise is examined by using FE analysis program(SAMCEF) and numerical analyses with a derived analytical equation of the disk based on the experimental results. The FE analyses and numerical results show that the squeal noise is due to the disk run-out as the experimental results and the frequency component of the noise equals to that of a disk's bending mode arising from the Hopf bifurcation.

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A Study on Developing an User Interface for GIS Construction (GIS 구축을 위한 사용자 인터페이스 개발에 관한 연구)

  • 남인길;부기동
    • Journal of Korea Society of Industrial Information Systems
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    • v.4 no.4
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    • pp.25-31
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    • 1999
  • This paper proposes an easy method to develope user interfaces for the GIS using local server automation In the developing stage of user interface the most important thing is to apply effective windows programming techniques and component software supporting techniques. This study shows an user interface developing method using the local server automation and Visual Basic programming. For a case study, the study constructs its user interface which performs map overlaying, referencing attribute tablet, graph analysis, drawing up of thematic amp.

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Component-Based Face Detection using T-type Structure (T형 구조를 이용한 구성요소 기반 얼굴 탐지)

  • Hwang, Dae-Dong;Kim, Gye-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2009.01a
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    • pp.227-230
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    • 2009
  • 본 논문은 눈, 입 등 얼굴의 구성요소를 이용하여 얼굴을 보다 고속으로 탐지하는 방법을 제시한다. 얼굴 탐지 방법의 기본적인 절차는 피부색을 추출하여 SkinMap을 만들고, 그 내부에서 구성요소의 색상 특징을 이용하여 눈과 입을 검출 후, T형 구조 검증방식을 이용하여 추출한 후보요소들이 눈과 입에 해당하는지를 최종적으로 확인한다. 기존의 얼굴탐지 방식에 많이 사용되던 삼각형 구조 검증방식에 비해 보다 연산량이 적은 T형 구조 검증방식을 사용하고, 불필요한 방법을 제거 및 보완하여 보다 고속으로 얼굴을 탐지할 수 있다.

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Realtime Face Recognition by Analysis of Feature Information (특징정보 분석을 통한 실시간 얼굴인식)

  • Chung, Jae-Mo;Bae, Hyun;Kim, Sung-Shin
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.12a
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    • pp.299-302
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    • 2001
  • The statistical analysis of the feature extraction and the neural networks are proposed to recognize a human face. In the preprocessing step, the normalized skin color map with Gaussian functions is employed to extract the region of face candidate. The feature information in the region of the face candidate is used to detect the face region. In the recognition step, as a tested, the 120 images of 10 persons are trained by the backpropagation algorithm. The images of each person are obtained from the various direction, pose, and facial expression. Input variables of the neural networks are the geometrical feature information and the feature information that comes from the eigenface spaces. The simulation results of$.$10 persons show that the proposed method yields high recognition rates.

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Classification of rural villages based on Landscape Indices - Focusing on Landscape Ecological Aspects - (경관지수를 활용한 농촌마을 유형분류: 경관생태학적 접근)

  • Kim, Han-Soo;Oh, Choong-Hyeon
    • Journal of Korean Society of Rural Planning
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    • v.17 no.3
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    • pp.1-13
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    • 2011
  • This study aims to analyse the landscape ecological characteristics of 39 rural villages in Korea and classify them according to their characteristics. After producing a land-use map of rural villages, this study quantified the landscape ecological characteristics of the subject sites as 18 landscape indexes using Fragstats. By applying the landscape index as a variable, selecting 4 factor through principal component analysis and conducting a cluster analysis, it classified them into 3 groups. Rural villages of Korea have their unique types of land-use due to the influence of physical environment such as geography, climate and ecology as well as the social and cultural influence, and the characteristics of land-use can be analysed and classified using the landscape index, the quantified landscape ecological characteristics.

A study on localization and compensation of mobile robot using fusion of vision and ultrasound (영상 및 거리정보 융합을 이용한 이동로봇의 위치 인식 및 오차 보정에 관한 연구)

  • Jang, Cheol-Woong;Jung, Ki-Ho;Jung, Dae-Sub;Ryu, Je-Goon;Shim, Jae-Hong;Lee, Eung-Hyuk
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.554-556
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    • 2006
  • A key component for autonomous mobile robot is to localize ifself. In this paper we suggest a vision-based localization and compensation of robot's location using ultrasound. Mobile robot travels along wall and searches each feature in indoor environment and transformed absolute coordinates of actuality environment using these points and builds a map. And we obtain information of the environment because mobile robot travels along wall. Localzation search robot's location candidate point by ultrasound and decide position among candidate point by features matching.

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Influence of Heat-treatment Temperature on Microwave Absorbing Properities of Ni-Zn Ferrite (Zi-Zn Ferrite의 전파흡수특성에 미치는 열처리온도의 영향)

  • 조성백;권경일;최경구;김성수;김재묵
    • Journal of the Korean Ceramic Society
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    • v.29 no.3
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    • pp.177-182
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    • 1992
  • The effect of heat-treatment temperature on the microwave absorbing properties was investigated in Ni0.8Zn0.2Fe2O4 specimens. The composite specimens were prepared by modling and curing the mixture of prereacted ferrite powder and silicone rubber. The measurement of complex permeability and permittivity was made by the reflection/transmission method. The most sensitive material constants with heat-treatment temperature is the imaginary (loss) component of permeability. The higher the heat-treatment temperature, the greater the magnetic loss. The composite specimens with high magnetic loss exhibited superior microwave absorbing properties. The quantitative estimation of microwave absorbing properties were made by plotting the observed material constants on the calculated solution map of impedance-matching.

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A Variational Framework for Single Image Dehazing Based on Restoration

  • Nan, Dong;Bi, Du-Yan;He, Lin-Yuan;Ma, Shi-Ping;Fan, Zun-Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1182-1194
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    • 2016
  • The single image dehazing algorithm in existence can satisfy the demand only for improving either the effectiveness or efficiency. In order to solve the problem, a novel variational framework for single image dehazing based on restoration is proposed. Firstly, the initial atmospheric scattering model is transformed to meet the kimmel's Retinex variational model. Then, the green light component of image is considered as an input of the variational framework, which is generated by the sensitivity of green wavelength. Finally, the atmospheric transmission map is achieved by multi-resolution pyramid reduction to improve the visual effect of the results. Experimental results demonstrate that the proposed method can remove haze effectively with less memory consumption.

Fast Pose-Invariant Detection of Facial Informations Using Color Cues (컬러 정보를 이용한 얼굴 정보의 자세불변 고속 검출)

  • 정의정;김복만;최홍문
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2096-2099
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    • 2003
  • 본 논문에서는 입력 영상의 컬러 정보를 이용함으로써 조명 변화나 얼굴의 자세 변화에 둔감하게 얼굴 정보를 고속 검출하는 알고리듬을 제안하였다 계산복잡도가 작으면서도, 조명의 변화에 민감하지 않은 특성을 가진 NCC (normalized color component) 좌표계에서 정의한 살색에 기반하여 얼굴 후보 영역을 검출하고, 검출된 얼굴 후보 영역 내에서의 눈의 검출에도 색상 분포 특성을 이용함으로써 얼굴의 숙임(nod), 돌림(shake), 기울임(tilt)등에 의한 자세 변화에 대해서도 둔감하게 두 눈의 위치를 고속으로 찾도록 하였다. 특히 집중자(concentrator)를 제안 적용하여 유동적인 눈썹의 영향을 줄이고 눈안의 중심 위치를 찾도록 가중치 눈지도(eye map)를 도입하였다. 제안된 알고리듬이 조명 변화나 얼굴의 다양한 자세 변화가 있는 영상에서 얼굴 후보 영역과 두 눈의 위치를 효과적으로 검출함을 실험을 통해 확인하였다.

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