• 제목/요약/키워드: Map Size

검색결과 767건 처리시간 0.025초

소형디젤엔진용 E-EGR 밸브의 개발 및 차량적용에 관한 실험적 연구 (An Experimental Study on the Development & Application of E-EGR Valve for Light Duty Diesel Vehicle)

  • 송창훈;정용일;차경옥
    • 에너지공학
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    • 제11권3호
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    • pp.203-209
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    • 2002
  • 본 연구에서는 유니크에서 개발된 E-EGR 밸브의 특성을 분석하였으며, 차량적용의 가능성을 평가하였다. 메르세데스 벤츠에서 개발된 배기량 0.8리터급 소형디젤 승용차인 Smart cat가 본 실험에 사용되어졌다. 실험용 차량은 전자식 EGR 밸브가 장착된 3기통의 터보 과급식 차량이다. 테스트벤치에서 EGR 밸브의 성능을 비교 및 분석한 후 차대동력계상에서 EGR map과 CVS-75 시험결과를 통하여 전자식 EGR 밸브의 차량적용 가능성을 여부를 수행하였다.

Design of Elevation Data Transmission Method for Mobile Vector GIS

  • Choi, Jin-Oh
    • Journal of information and communication convergence engineering
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    • 제7권1호
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    • pp.41-45
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    • 2009
  • In mobile GIS environments, a client needs to receive the isogram data with a topographical map from a server, if the mobile client wants to display map with elevation information. Because the elevation data size is normally quite large, the client will suffer some problems to receive the elevation data from server. The main reason is a resource limitation of the mobile devices. To overcome these problems, this paper proposes new data structures and algorithms. They are designed for efficient transmission of contour data to a client. Because of the contour data are generated as a vector style from elevation information stored at a server, the proposed algorithms are focused to minimize the transmission data volume and time.

Mapping을 위한 자율이동로붓의 Wall Following 기법 (A Wall-Following Method of Mobile Robot for Mapping)

  • 이강민;임동균;김경근;서병설
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 심포지엄 논문집 정보 및 제어부문
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    • pp.102-105
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    • 2005
  • A Effective wall following plays important role for the mapping behaviors which determine the entire memory size and the shape of map before building a map. In case of wall following, attacking those cause by curved wall or obstacles brings a bad stuff that makes ripples on the moving trajectory. These types of ripples come to an end with problems that increase the load of calculation and sensing errors. In this paper, a new sensing method and its corresponding controller are suggested for problems. It minimizes the occurrence of the trajectory ripples.

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Object Recognition using Smart Tag and Stereo Vision System on Pan-Tilt Mechanism

  • Kim, Jin-Young;Im, Chang-Jun;Lee, Sang-Won;Lee, Ho-Gil
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2379-2384
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    • 2005
  • We propose a novel method for object recognition using the smart tag system with a stereo vision on a pan-tilt mechanism. We developed a smart tag which included IRED device. The smart tag is attached onto the object. We also developed a stereo vision system which pans and tilts for the object image to be the centered on each whole image view. A Stereo vision system on the pan-tilt mechanism can map the position of IRED to the robot coordinate system by using pan-tilt angles. And then, to map the size and pose of the object for the robot to coordinate the system, we used a simple model-based vision algorithm. To increase the possibility of tag-based object recognition, we implemented our approach by using as easy and simple techniques as possible.

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스테레오 스코픽에서 밝기 조정 정합 알고리즘 (The Algorithm of Brightness Control Disparity Matching in Stereoscopic)

  • 송응열;김영섭
    • 반도체디스플레이기술학회지
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    • 제8권4호
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    • pp.95-100
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    • 2009
  • This paper presents an efficient disparity matching, using sum of absolute difference (SAD) and dynamic programming (DP) algorithm. This algorithm makes use of one of area-based algorithm which is the absolute sum of the pixel difference corresponding to the window size. We use the information of the right eye brightness (B) and the left eye brightness to get an best matching results and apply the results to the left eye image using the window go by the brightness of the right eye image. This is that we can control the brightness. The major feature of this algorithm called SAD+DP+B is that although Root Mean Square (RMS) performance is slightly less than SAD+DP, due to comparing original image, its visual performance is increased drastically for matching the disparity map on account of its matching compared to SAD+DP. The simulation results demonstrate that the visual performance can be increased and the RMS is competitive with or slightly higher than SAD+DP.

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뇌파 기반의 인증시스템을 위한 EEG 암호화 기법 (An EEG Encryption Scheme for Authentication System based on Brain Wave)

  • 김정숙;정장영
    • 한국멀티미디어학회논문지
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    • 제18권3호
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    • pp.330-338
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    • 2015
  • Gradually increasing the value of the technology, the techniques of the various security systems to protect the core technology have been developed. The proposed security scheme, which uses both a Password and the various devices, is always open by malicious user. In order to solve that problem, the biometric authentication systems are introduced but they have a problem which is the secondary damage to the user. So, the authentication methods using EEG(Electroencephalography) signals were developed. However, the size of EEG signals is big and it cause a lot of problems for the real-time authentication. And the encryption method is necessary. In this paper, we proposed an efficient real-time authentication system applied encryption scheme with junk data using chaos map on the EEG signals.

항공LiDAR 데이터의 관계형 DBMS 저장 및 관리방안 연구 (A Study of Store & Management of Airborne LiDAR Data)

  • 김호근;권창희
    • 한국항행학회논문지
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    • 제12권6호
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    • pp.548-553
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    • 2008
  • GIS기술의 발달로 인하여 과거와 같이 MicroStation과 같은 측량 장비를 이용하여 현지 측량 작업을 수행하지 않고도 항공기에 탑제된 LiDAR(Light Detection and Ranging) 장비와 GPS를 이용하여 보다 더 효율적이고 정밀한 지도를 제작하게 되었다. 이러한 데이터는 그 양이 방대하기 때문에 관계형 데이터베이스를 이용하여 관리해야 할 필요성이 대두되고 있다. 본 연구에서는 취득한 LiDAR데이터를 데이터베이스에 저장하고 관리하기 위한 방안을 모색하고자 한다.

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모아레 사진 촬영법을 이용한 중년여성 체형파악 및 착의 평가

  • 김순자
    • 한국의류학회지
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    • 제19권2호
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    • pp.366-379
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    • 1995
  • This study was performed to provide fundamental data on middle-aged women's upper torso by classifying the upper torso somatotype and analyzing the characteristics of their somatotype. Factor analysis of principal component model was used to 38 directly measured items, and cluster analysis was applied for classification of upper torso forms. Seven factors were extracted from the factor analysis. The first factor represented the items of circumference, breadth, and depth which were related with body size. On the basis of the cluster analysis using factor scores trom factor analysis as being independent variables, the subjects were classified into three groups. Three dress forms were constructed according to the characteristics for each somatotype of subjects, the three-dimensional characteristics of somatotype were analyzied by the moire pattern and horizontal section map of proposed dress forms. Wearing test by moire topography was used to evaluate wearing outline, the ease of clothes and garment space. Moire pattern and horizontal section map were useful to evaluate wearing conditions, and garment space was changed by the characteristics of the body shape.

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동태적 분석 및 설계를 위한 인과지도 작성법의 한계와 개선방안에 관한 연구 (A Study on Theoretical Improvement of Causal Mapping for Dynamic Analysis and Design)

  • 정재운;김현수
    • 한국시스템다이내믹스연구
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    • 제10권1호
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    • pp.33-60
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    • 2009
  • This study explores the limitation in making a causal model through an existing case and proposes an alternative plan to improve a theoretical system of causation modeling. To make a dynamic and actual model, several principles are needed such as reality based analysis of system structures and dynamics, consistent expression of causations, conversion of numerical formulas to causal relations, classification and arrangement of variables by size of concept, etc. However, it is hard to find cases to apply these considerations from existing models in System Dynamics. Therefore, this study verifies errors of derived models from literatures and proposes principles and guides that should be considered to make a sound dynamic model on a causal map. It contributes to making an opportunity for exciting public opinion to improve theory about causal maps, yet it has limitation that the study does not advance forward to the experimental step. For future study, it plans to make up by classifying and leveling causal variables, developing a dynamic BSC model.

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구조 텐서 기반의 상품 라벨 검출 (Product Label Detection based on the Local Structure Tensor)

  • 진연연;이명은;김수형
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(C)
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    • pp.397-400
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    • 2011
  • In this paper, we propose an approach to detect the product label for mobile phone images based on saliency map and the local structure tensor. The object boundary information can be better described by the local structure tensor than other edge detectors, and the saliency map methods can find out the most salient area and shorten the computational time by reducing the size of the orignal image. Therefore, these two methods are considered for our product label detection. The experimental results show an acceptable performance based on our proposed approach.