• Title/Summary/Keyword: Map size

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

  • 송창훈;정용일;차경옥
    • Journal of Energy Engineering
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    • v.11 no.3
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    • pp.203-209
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    • 2002
  • In this study the characteristics of E-EGR valve developed by Unick were analyzed and the feasibility of application to vehicles were evaluated. Smart car (3$\ell$/100 km) and engine which is small-displacement size, 0.8-liter, of diesel passenger car developed from Mercedes-Benz were used for this experiment. It was installed a 3-cylinder turbo-charged light duty diesel engine with an electronic EGR valve. After the analysis and comparison of E-EGR valve performance under test benches, the estimation of vehicle application was executed through the EGR map and CVS-75 test result measured on the chassis dynamometer.

Design of Elevation Data Transmission Method for Mobile Vector GIS

  • Choi, Jin-Oh
    • Journal of information and communication convergence engineering
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    • v.7 no.1
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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.

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

  • Lee, Kang-Min;Lim, Dong-Kyun;Kim, Hyung-Geun;Suh, Byung-Suhl
    • Proceedings of the KIEE Conference
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    • 2005.05a
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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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    • 2005.06a
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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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The Algorithm of Brightness Control Disparity Matching in Stereoscopic (스테레오 스코픽에서 밝기 조정 정합 알고리즘)

  • Song, Eung-Yeol;Kim, Young-Seop
    • Journal of the Semiconductor & Display Technology
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    • v.8 no.4
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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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An EEG Encryption Scheme for Authentication System based on Brain Wave (뇌파 기반의 인증시스템을 위한 EEG 암호화 기법)

  • Kim, Jung-Sook;Chung, Jang-Young
    • Journal of Korea Multimedia Society
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    • v.18 no.3
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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.

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

  • Kim, Ho-Kun;Kwon, Chang-Hee
    • Journal of Advanced Navigation Technology
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    • v.12 no.6
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    • pp.548-553
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    • 2008
  • While in the past map-making process by field survey devices such as MicroStation needs more time relatively, we can make more precise map effectively with airbone LiDAR and GPS devices. Also the data, captured by LiDAR, are very large in size and so it needs to use Relational DBMS to manage and process LiDAR data. In this study we propose how to store and manage LiDAR data using RDBMS.

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모아레 사진 촬영법을 이용한 중년여성 체형파악 및 착의 평가

  • 김순자
    • Journal of the Korean Society of Clothing and Textiles
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    • v.19 no.2
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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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A Study on Theoretical Improvement of Causal Mapping for Dynamic Analysis and Design (동태적 분석 및 설계를 위한 인과지도 작성법의 한계와 개선방안에 관한 연구)

  • Jung, Jae-Un;Kim, Hyun-Soo
    • Korean System Dynamics Review
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    • v.10 no.1
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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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Product Label Detection based on the Local Structure Tensor (구조 텐서 기반의 상품 라벨 검출)

  • Chen, Yan-Juan;Lee, Myung-Eun;Kim, Soo-Hyung
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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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.