• Title/Summary/Keyword: Spatial object

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Matching and Attribute Conflating Method for Linking the Digital Map with the Road Name Address System - Focused on the Road Centerline Layer - (수치지도의 도로명주소 체계 연계를 위한 매칭 및 속성 융합 방안 - 도로중심선 레이어를 중심으로 -)

  • Bang, Yoonsik;Ga, Chillo;Yu, Kiyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.4
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    • pp.379-388
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    • 2012
  • The Road Name Address system has begun to be applied and widely used since 2011. However, the Digital Map, or the national representative basic map, has no reference to the Road Name Address system. It causes some difficulties to use the Digital Map under the Road Name Address system. In this paper, we suggest a method for generating the expanded Digital Map by adding information about Road Name Address system into the objects of the Digital Map. First, object matching pairs between the road section layer from the Road Name Address Map and the road centerline layer from the Digital Map are found. Then attributes to be copied from the Road Name Address map to the Digital Map are extracted by comparing their attribute tables. Finally the extracted attributes are copied from the Road Name Address Map to the Digital Map. The expanded road centerline layer of the Digital Map then has attributes about road name according to the Road Name Address system, so that the georeferencing of the Digital Map according to the Road Name Address system becomes possible.

Usability Evaluation of the Drone LiDAR Data for River Surveying (하천측량을 위한 드론라이다 데이터의 활용성 평가)

  • Park, Joon-Kyu;Um, Dae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.592-597
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    • 2020
  • Currently, river survey data is mainly performed by acquiring longitudinal and cross-sectional data of rivers using total stations or the GNSS(Global Navigation Satellite System). There is not much research that addresses the use of LiDAR(Light Detection and Ranging)systems for surveying rivers. This study evaluates the applicability of using LiDAR data for surveying rivers The Ministry of Land, Infrastructure and Transport recently launched a drone-based river fluctuation survey. Pilot survey projects were conducted in major rivers nationwide. Studies related to river surveying were performed using the ground LiDAR(Light Detection And Ranging)system.Accuracy was ensured by extracting the linearity of the object and comparing it with the total station survey performance. Data on trees and other features were extracted to generate three-dimensional geospatial information for the point-cloud data on the ground.Deviations were 0.008~0.048m. and compared with the results of surveying GNSS and the use of drone LiDAR data. Drone LiDAR provided accurate three-dimensional spatial information on the entire target area. It was able to reduce the shaded area caused by the lack of surveying results of the target area. Analyses such as those of area and slope of the target sites are possible. Uses of drones may therefore be anticipated for terrain analyses in the future.

Design and implementation of a time-based R-tree for indexing moving objects (이동체의 색인을 위한 시간 기반 R-트리의 설계 및 구현)

  • 전봉기;홍봉희
    • Journal of KIISE:Databases
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    • v.30 no.3
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    • pp.320-335
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    • 2003
  • Location-Based Services(LBS) give rise to location-based queries of which results depend on the locations of moving objects. One of important applications of LBS is to examine tracks of continuously moving objects. Moving objects databases need to provide 3-dimensional indexing for efficiently processing range queries on the movement of continuously changing positions. An extension of the 2-dimensional R-tree to include time dimension shows low space utilization and poor search performance, because of high overlap of index nodes and their dead space. To solve these problems, we propose a new R-tree based indexing technique, namely TR-tree. To increase storage utilization, we assign more entries to the past node by using the unbalanced splitting policy. If two nodes are highly overlapped, these nodes are forcibly merged. It is the forced merging policy that reduces the dead space and the overlap of nodes. Since big line segments can also affect the overlap of index nodes to be increased, big line segments should be clipped by the clipping policy when splitting overfull nodes. The TR-tree outperforms the 3DR-tree and TB-tree in all experiments. Particularly, the storage utilization of the TR-tree is higher than the R-tree and R*-tree.

Interactive Motion Retargeting for Humanoid in Constrained Environment (제한된 환경 속에서 휴머노이드를 위한 인터랙티브 모션 리타겟팅)

  • Nam, Ha Jong;Lee, Ji Hye;Choi, Myung Geol
    • Journal of the Korea Computer Graphics Society
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    • v.23 no.3
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    • pp.1-8
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    • 2017
  • In this paper, we introduce a technique to retarget human motion data to the humanoid body in a constrained environment. We assume that the given motion data includes detailed interactions such as holding the object by hand or avoiding obstacles. In addition, we assume that the humanoid joint structure is different from the human joint structure, and the shape of the surrounding environment is different from that at the time of the original motion. Under such a condition, it is also difficult to preserve the context of the interaction shown in the original motion data, if the retargeting technique that considers only the change of the body shape. Our approach is to separate the problem into two smaller problems and solve them independently. One is to retarget motion data to a new skeleton, and the other is to preserve the context of interactions. We first retarget the given human motion data to the target humanoid body ignoring the interaction with the environment. Then, we precisely deform the shape of the environmental model to match with the humanoid motion so that the original interaction is reproduced. Finally, we set spatial constraints between the humanoid body and the environmental model, and restore the environmental model to the original shape. To demonstrate the usefulness of our method, we conducted an experiment by using the Boston Dynamic's Atlas robot. We expected that out method can help the humanoid motion tracking problem in the future.

A Study on Method of Automatic Geospatial Feature Extraction through Relative Radiometric Normalization of High-resolution Satellite Images (고해상도 위성영상의 상대방사보정을 통한 자동화 지향 공간객체추출 방안 연구)

  • Lee, Dong-Gook;Lee, Hyun-Jik
    • Korean Journal of Remote Sensing
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    • v.36 no.5_2
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    • pp.917-927
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    • 2020
  • The Ministry of Land, Infrastructure and Transport of Korea is developing a CAS 500-1/2 satellite capable of photographing a GSD 0.5 m level image, and is developing a technology to utilize this. Therefore, this study attempted to develop a geospatial feature extraction technique aimed at automation as a technique for utilizing CAS 500-1/2 satellite images. KOMPSAT-3A satellite images that are expected to be most similar to CAS 500-1/2 were used for research and the possibility of automation of geospatial feature extraction was analyzed through relative radiometric normalization. For this purpose, the parameters and thresholds were applied equally to the reference images and relative radiometric normalized images, and the geospatial feature were extracted. The qualitative analysis was conducted on whether the extracted geospatial feature is extracted in a similar form from the reference image and relative radiometric normalized image. It was also intended to analyze the possibility of automation of geospatial feature extraction by quantitative analysis of whether the classification accuracy satisfies the target accuracy of 90% or more set in this study. As a result, it was confirmed that shape of geospatial feature extracted from reference image and relative radiometric normalized image were similar, and the classification accuracy analysis results showed that both satisfies the target accuracy of 90% or more. Therefore, it is believed that automation will be possible when extracting spatial objects through relative radiometric normalization.

Analysis on Attraction Power and Holding Power of Exhibition Areas at Science Museum(II) - Focused on Analysis on Exhibition Method of Exhibition Spaces - (과학계 박물관 전시공간의 흡입력과 지속력 분석(II) - 전시영역별 연출매체의 분포특성 분석을 중심으로 -)

  • Lim, Che-Zinn;Choo, Sung-Won;Park, Moo-Ho
    • Korean Institute of Interior Design Journal
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    • v.20 no.4
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    • pp.174-182
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    • 2011
  • This study analyzed visitors' behaviors in the viewpoint of Attraction Power and Holding Power of exhibits on the basis of exhibition layout of real science museums. Through the analysis, the study grasped efficiency of analysis index and exhibition environment elements which might have an effect on planning the exhibition space of a large-scale museum and producing detailed ranges of exhibition. The main indicators used are: 1. Attraction Power: it indicates the relative incidence of people who have stopped in front of an object/exhibit during the exhibition tour. It is calculated by dividing the number of people who stop by the total number of people who have visited the museum or gallery. 2. Holding Power: it measures the average time spent in front of an information/communication element. It is calculated by dividing the average time of stay by the time "necessary" to read an element. As a result of analyzing the exhibition areas of National Science Museum (Daejeon) and National Museum of Emerging Science and Innovation(Tokyo), the Holding Power was found to be relatively lower than the Attracting Power. This means that 3.5 out of 10 visitors stop in front of the exhibit in 6 exhibition areas, and among these, only 1/10 is used when compared to the user required time of the exhibits. In other words, like the method of deriving an analysis index, the stage of viewing can be categorized as Attracting Power and Holding Power, and because the stage from Attracting Power to the stage of Holding Power are strongly linked, it shows that it is not easy to display a meaningful result. Except, the general distribution of Attracting Power was shown to be high from the entrance area of the exhibition hall based on the standard of viewing sequence. Also, the Holding Power became sequentially lower according to the sequence of exhibition viewing and displayed a meaningful interrelationship with the distribution ratio of island exhibits. In the case of island exhibition method, it is less influenced by the movement flow of visitors when compared to the wall type method of exhibition and can be understood as an exhibition method that provides spatial chances enabling stopping and viewing.

A Development of Damaged Spread Model of the Pine Needle Gall Midge Using Satellite Image Data (인공위성 화상데이터를 이용한 솔잎혹파리 피해 확산모델의 개발)

  • Ahn, Ki-Won;Lee, Hyo-Sung;Seo, Doo-Chun;Shin, Sok-Hyo
    • Journal of Korean Society for Geospatial Information Science
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    • v.6 no.2 s.12
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    • pp.105-117
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    • 1998
  • The main object of this study was to prove the effectiveness of satellite Image data for extraction of the pine needle gall midge damaged area in the part of Kangwon-do area, and to present the detailed procedure of a digital image processing for extraction of those damaged area. The effectiveness of extraction of damaged area was improved by using the BRCT(Backwards Radiance Correction Transformation) with DEM for the normalization of topographic effects. The topographic surface analysis of the extracted damaged area revealed that the general damaged area was at south-west and south-east aspect with the slope of 31 to 38 degrees, the temperature of 21 to 25, and 23% to 39% of the highest altitude mountains. The new damaged area in which expanded area was at 27 to 30 degree of slope, the aspect of 46 to 180 degrees, the temperature of $11^{\circ}C\;to\;12^{\circ}C$ and 27% to 39% of the highest altitude mountains. The NDI(New Damaged Index) was developed using the environment factor and simple vegetation index.

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A Study on the Characteristics and Identity of Public Art in Historical and Cultural Areas - Focused on Taoxichuan in Jingdezhen - (역사문화지구의 퍼블릭 아트에서 나타나는 표현 특성과 아이덴티티 연구 - 징더전 시 도계천을 중심으로 -)

  • Li, JianHua;Yoon, Ji-Young
    • The Journal of the Korea Contents Association
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    • v.20 no.2
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    • pp.82-95
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    • 2020
  • This study takes the identity and characteristics of public art in historical and cultural regions as the research object. Through the theoretical investigation and research on the public art of historical and cultural regions, six evaluation factors that shape spatial identity and characteristics were drawn: Environmental characteristics, public characteristics; Symbolic characteristics; Artistic characteristics;.Historical characteristics; Interactivity. The identity and characteristics of Taoxichuan public art in Jingdezhen was analyzed and evaluated. The results show that the " public art " of seven large chimneys is consistent with the historical structure of the industry. Among them, environmental, public characteristics, symbolic, artistic and historical characteristics of the Industria park have a high degree of preservation value and can be recognized as the historical landmark of the park. In the new public art, the artistic quality of public art, the environment, and the public characteristic of public art, are also at a moderate level, but it is comparatively weak. Public art recreated as an industrial heritage has formed an identity that can communicate spiritual sympathy to the public by forming a time-space communication between the public with historical relics and ceramic elements, and the new public art for local rehabilitation has given new artistic flavor to the city, but the new identity has not been shown.

A Study on the Feasibility Improvement of the Real Estate Development by Using Project Financing Analytical Method in Korea (PF대출 분석기법을 활용한 부동산개발사업 사업성 평가 개선 연구)

  • Seo, Jeong-Jin
    • Journal of Cadastre & Land InformatiX
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    • v.44 no.2
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    • pp.209-230
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    • 2014
  • There are three forms of REITs company in Korea that was first introduced in 2002. Each REITs have been listed on the KRX, its characteristics are different, but it is classified as a REITs company in all events. REITs current methods are applied uniformly manner that does not reflect the characteristics of the individual. REITs some, that is not seen unlike legislative intent, it is delisted, such as generating an investment loss of investors. In this study it is an object of the invention from the point of view of REITs business validity, to draw up operational support aggressive plans of the scheme. By improving the PF assesment system, to improve the relevance of REIT business and presenting policy direction to the activation of REITs. Through the sophistication of real estate finance utilizing REITs, policy for proper investment of general investors REITs funds were listed with the smooth flow must be realized. The results of this study, it can be utilized as basic data for policy to reflect the real estate policy for activation of the indirect financial investments.

Vector Approximation Bitmap Indexing Method for High Dimensional Multimedia Database (고차원 멀티미디어 데이터 검색을 위한 벡터 근사 비트맵 색인 방법)

  • Park Joo-Hyoun;Son Dea-On;Nang Jong-Ho;Joo Bok-Gyu
    • The KIPS Transactions:PartD
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    • v.13D no.4 s.107
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    • pp.455-462
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    • 2006
  • Recently, the filtering approach using vector approximation such as VA-file[1] or LPC-file[2] have been proposed to support similarity search in high dimensional data space. This approach filters out many irrelevant vectors by calculating the approximate distance from a query vector using the compact approximations of vectors in database. Accordingly, the total elapsed time for similarity search is reduced because the disk I/O time is eliminated by reading the compact approximations instead of original vectors. However, the search time of the VA-file or LPC-file is not much lessened compared to the brute-force search because it requires a lot of computations for calculating the approximate distance. This paper proposes a new bitmap index structure in order to minimize the calculating time. To improve the calculating speed, a specific value of an object is saved in a bit pattern that shows a spatial position of the feature vector on a data space, and the calculation for a distance between objects is performed by the XOR bit calculation that is much faster than the real vector calculation. According to the experiment, the method that this paper suggests has shortened the total searching time to the extent of about one fourth of the sequential searching time, and to the utmost two times of the existing methods by shortening the great deal of calculating time, although this method has a longer data reading time compared to the existing vector approximation based approach. Consequently, it can be confirmed that we can improve even more the searching performance by shortening the calculating time for filtering of the existing vector approximation methods when the database speed is fast enough.