• Title/Summary/Keyword: 벡터공간

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Development of a Standard Vector Data Model for Interoperability of River-Geospatial Information (하천공간정보의 상호운용성을 위한 표준벡터데이터 모델 개발)

  • Shin, Hyung-Jin;Chae, Hyo-Sok;Lee, Eul-Rae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.2
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    • pp.44-58
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    • 2014
  • In this study, a standard vector data model was developed for interoperability of river-geospatial information and for verification purpose the applicability of the standard vector model was evaluated using a model to RIMGIS vector data at Changnyeong-Hapcheon & Gangjung-Goryeong irrigation watershed. The standards from ISO and OGC were analyzed and the river geospatial data model standard was established by applying the standards. The ERD was designed based on the analysis information on data characteristics and relationship. The verification of RIMGIS vector data included points, lines and polygon to develope GDM was carried out by comparing with the data by layer. This conducting comparison of basic spatial data and attribute data to each record and spatial information vertex. The error in the process of conversion was 0 %, indicating no problem with model. Our Geospatial Data Model presented in this study provides a new and consistent format for the storage and retrieval of river geospatial data from connected database. It is designed to facilitators integrated analysis of large data sets collected by multiple institutes.

Normal Calculation Using GPU in Point Rendering (점 렌더링에서 GPU를 이용한 법선 벡터 계산)

  • 조광현;권구주;신병석
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.634-636
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    • 2004
  • 3차원 공간상에 분포되어 있는 정들로부터 기하정보를 재구성하여 렌더링 할 때 법선 벡터가 필요하다. 이 점들은 서로간의 연결성 정보가 없고 법선 벡터가 없기 때문에 음영 효과를 표현 할 수 없다. 본 논문에서는 점들의 연결성 정보를 추정하여 법선 벡터를 구하는 과정에서 GPU를 사용하는 방법을 제안한다 GPU로 법선 벡터를 계산할 경우 CPU의 부하가 줄게 되고 계산 시간도 감소된다 이 방법을 점 렌더링에 적용하여 법선 벡터를 신속하게 계산하고 가시성 검사와 음영처리를 효과적으로 할 수 있도록 한다.

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Hybrid Polyline Simplification for GIS Vector Map Data Compression (GIS 벡터맵 데이터 압축을 위한 혼합형 폴리라인 단순화)

  • Im, Dae-Yeop;Jang, Bong-Joo;Lee, Suk-Hwan;Kwon, Seong-Geun;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.16 no.4
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    • pp.418-429
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    • 2013
  • This paper presents a GIS vector map data compression scheme based on hybrid polyline simplification method and SEC(spatial energy compaction). The proposed method extracts all layers which contain polylines in the GIS vector map and compress all polylines in extracted layers by the hybrid polyline simplification and SEC based on MAE(minimum area error) for each segment in the line. The proposed simplification and SEC increase the compression ratio while preserving the shape quality. We analyze the visual aspects and compression efficiency between the original GIS vector map and the compressed map. From experimental results, we verify that our method has the higher compression efficiency and visual quality than conventional methods.

Occlusive Face Recognition using the Selective Subspace Projection Method (선택적 부공간 투영 방법을 사용한 가려진 얼굴 인식)

  • Kim, Young-Gil;Song, Young-Jun;Kim, Dong-Woo;Ahn, Jae-Hyeong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.48-52
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    • 2008
  • In this paper, we propose a new selective subspace projection method in order to recognize the occlusive face image effectively. The conventional subspace projection method is project to basis image using a full image of face. The face recognition rate has reduced because the face characteristic is easy to be distorted by occlusion. To overcome this problem, the proposed method first decide to occlusion. If it hasn't an occlusion, we get the feature vectors with total basis projection using the conventional subspace projection method. If it has an occlusion, we get one with partial basis projection. We get better recognition rate than conventional PCA and NMF using AR face database with occlusive face images.

Indoor environment recognition based on depth image (깊이 영상 기반 실내 공간 인식)

  • Kim, Su-Kyung;Choi, Hyung-Il
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.11
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    • pp.53-61
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    • 2014
  • In this paper, we propose a method using an image received by the depth camera in order to separate the wall in a three-dimensional space indoor environment. Results of the paper may be used to provide valuable information on the three-dimensional space. For example, they may be used to recognize the indoor space, to detect adjacent objects, or to project a projector on the wall. The proposed method first detects a normal vector at each point by using the three dimensional coordinates of points. The normal vectors are then clustered into several groups according to similarity. The RANSAC algorithm is applied to separate out planes. The domain knowledge helps to determine the wall among planes in an indoor environment. This paper concludes with experimental results that show performance of the proposed method in various experimental environment.

Eigenspace-Based Adaptive Array Robust to Steering Errors By Effective Interference Subspace Estimation (효과적인 간섭 부공간 추정을 통한 조향에러에 강인한 고유공간 기반 적응 어레이)

  • Choi, Yang-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.4A
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    • pp.269-277
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    • 2012
  • When there are mismatches between the beamforming steering vector and the array response vector for the desired signal, the performance can be severely degraded as the adaptive array attempts to suppress the desired signal as well as interferences. In this paper, an robust method is proposed for the adaptive array in the presence of both direction errors and random errors in the steering vector. The proposed method first finds a signal-plus-interference subspace (SIS) from the correlation matrix, which in turn is exploited to extract an interference subspace based on the structure of a uniform linear array (ULA), the effect of the desired signal direction vector being reduced as much as possible. Then, the weight vector is attained to be orthogonal to the interference subspace. Simulation shows that the proposed method, in terms of signal-to-interference plus noise ratio (SINR), outperforms existing ones such as the doubly constrained robust Capon beamformer (DCRCB).

Studies on Representative Body Sizes and 3D Body Scan Data of Korean Adolescents (한국 청소년의 대표 인체치수 및 3D 인체형상자료에 관한 연구)

  • Choi, Seung-il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.2
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    • pp.227-232
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    • 2016
  • 3D body scan data are used widely in various fields to make products and living spaces for superior human body fitness. Based on the 3D measurements of human bodies for teens in Size Korea 2013, this research provides a way of finding the representative body sizes and 3D body scan data. First, a multi-dimensional vector space consisting of many measurement items was projected onto a 2D vector space with circumference and length components via factor analysis. The representative body sizes and 3D scan data close to these values were obtained via the Mahalanobis distance in 2D space. Considering the adolescent growth pattern shown on this 2D space, males were divided into 4 age groups and females were divided into 3 age groups. Using the eigenbodies corresponding to the column vectors of the component score coefficient matrix, the representative body sizes of 13 measurement items (male) and 14 measurement items (female) for each age group were calculated. The representative body sizes and 3D scan data are very useful for modeling representative 3D human figures.

A partially occluded object recognition technique using a probabilistic analysis in the feature space (특징 공간상에서 의 확률적 해석에 기반한 부분 인식 기법에 관한 연구)

  • 박보건;이경무;이상욱;이진학
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.11A
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    • pp.1946-1956
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    • 2001
  • In this paper, we propose a novel 2-D partial matching algorithm based on model-based stochastic analysis of feature correspondences in a relation vector space, which is quite robust to shape variations as well as invariant to geometric transformations. We represent an object using the ARG (Attributed Relational Graph) model with features of a set of relation vectors. In addition, we statistically model the partial occlusion or noise as the distortion of the relation vector distribution in the relation vector space. Our partial matching algorithm consists of two-phases. First, a finite number of candidate sets areselected by using logical constraint embedding local and structural consistency Second, the feature loss detection is done iteratively by error detection and voting scheme thorough the error analysis of relation vector space. Experimental results on real images demonstrate that the proposed algorithm is quite robust to noise and localize target objects correctly even inseverely noisy and occluded scenes.

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Current Control for an AFE Rectifier Using Space Vector PWM (공간벡터변조방식에 의한 AFE정류기의 전류제어)

  • Jeon, Cheol-Hwan;Hur, Jae-Jung;Yoon, Kyoung-Kuk;Yoo, Heui-Han;Kim, Sung-Hwan
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.4
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    • pp.498-503
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    • 2019
  • Electric propulsion ships are gaining widespread interest in the marine industry owing to extreme air pollution concerns. Consequently, several studies are actively being conducted for improving the power quality. Various methods have been developed that incorporate passive filters, notch filters, and active filters for reducing the harmonic content in the input current of a conventional diode front end rectifier. Among such filters, the active front end (AFE) rectifier is considered as an excellent technology. In this paper, current control for an AFE rectifier employing space vector PWM (Pulse Width Modulation) is proposed. Conventional current control methods for the AFE rectifier, hysteresis, SPWM (Sinusoidal Pulse Width Modulation), and SVPWM (Space Vector Pulse Width Modulation) were simulated by employing the PSIM software tool for analysis and comparisons. The results corroborate that SVPWM has the simplest structure and provides the best performance.

Alignment between Road Vector and Aerial Image using Template Matching (템플릿 매칭을 이용한 항공사진과 도로 벡터의 Conflation)

  • Yang, Sung-Chul;Yu, Ki-Yun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.15-17
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    • 2010
  • 인터넷이나 모바일 기기를 이용한 지도 서비스를 이용하는 사용자가 많아지고 그에 따라 다양한 형태의 서비스가 제공되고 있어 이를 위한 자료 구축의 필요성이 커지고 있다. 이종의 자료를 Conflation하여 직관적으로 사용자가 공간정보를 얻을 수 있게 하기 위해서는 자료 간에 공간 편이가 없어야 하나 다양한 원인으로 인해 공간 불일치가 발생하고 있어 이를 조정하는 것이 필요하다. 이를 위해서 도로의 교차로에서 템플릿을 형성하고 도로 후보영상과 매칭을 수행하여 자료간 조정을 수행하였다.

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