• Title/Summary/Keyword: Spatial object

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THE STUDY OF SPATIAL DECISION-MAKING ABOUT AREAS THAT LAND- SPECULATION CAN BE ARISE -In the base of fluctuations in land prices & land trade data (토지 투기 발생 가능 지역에 대한 공간적 의사 결정 지원에 관한 연구 - 지가변동과 토지거래 자료를 바탕으로)

  • 김현숙
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.04a
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    • pp.500-509
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    • 2003
  • A land-speculation is to occur on a space. A purpose of this study interprets land speculation in a viewpoint of spatial, and to carry out effective decision-making about areas that land-speculation can be arise At the time of this, the focus of spatial interpretation Is recognition of a spatial continuity and consideration of a spatial association. In this study, I used fuzzy sets in order to recognize spatial continuity and. therefore a value in 0-1 was granted all area. And in order to consider spatial associations. carried out a local spatial association (Local Moran's I). Also. I introduced the spatial expert support systems (SESS) one of the computer-based decision support systems to dr efficient decision-making about a land-speculation in an object area. After that, as a case study I carried out decision-making about land-speculation's occurrence in the Seoul-Kyeonggi (2/4 quarter in 2001)

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Automated Vinyl Green House Identification Method Using Spatial Pattern in High Spatial Resolution Imagery (공간패턴을 이용한 자동 비닐하우스 추출방법)

  • Lee, Jong-Yeol;Kim, Byoung-Sun
    • Korean Journal of Remote Sensing
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    • v.24 no.2
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    • pp.117-124
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    • 2008
  • This paper introduces a novel approach for automated mapping of a map feature that is vinyl green house in high spatial resolution imagery Some map features have their unique spatial patterns. These patterns are normally detected in high spatial resolution remotely sensed data by human recognition system. When spatial patterns can be applied to map feature identification, it will improve image classification accuracy and will be contributed a lot to feature identification. In this study, an automated feature identification approach using spatial aucorrelation is developed, specifically for the vinyl green house that has distinctive spatial pattern in its array. The algorithm aimed to develop the method without any human intervention such as digitizing. The method can investigate the characteristics of repeated spatial pattern of vinyl green house. The repeated spatial pattern comes from the orderly array of vinyl green house. For this, object-based approaches are essential because the pattern is recognized when the shapes that are consists of the groups of pixels are involved. The experimental result shows very effective vinyl house extraction. The targeted three vinyl green houses were exactly identified in the IKONOS image for a part of Jeju area.

Implementation of Rule Management System for Validating Spatial Object Integrity (공간 객체 무결성 검증을 위한 규칙 관리 시스템의 구현)

  • Go, Goeng-Uk;Yu, Sang-Bong;Kim, Gi-Chang;Cha, Sang-Gyun
    • Journal of KIISE:Software and Applications
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    • v.26 no.12
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    • pp.1393-1403
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    • 1999
  • 공간 데이타베이스 시스템을 통하여 공유되는 공간 데이타는 무결성이 적절하게 유지되지 않는 한 전체 응용 시스템의 행위를 예측할 수 없게 되므로 데이타의 무결성 확인 및 유지는 필수적이다. 특히 공공 GIS에 저장된 공간 데이타는 토지 이용도 평가, 도시 계획, 자원 관리, 시설물 관리, 안전 관리, 국방 등 국가 전체 및 지역의 중요한 정책 결정을 위한 다양한 응용 시스템들에 의해 이용되므로 적절한 공간 객체의 무결성 확인이 더욱 더 필요하다. 본 논문에서는 능동(active) DBMS의 능동 규칙(active rule) 기법을 이용하여 공간 객체의 무결성 확인을 지원하기 위한 규칙 관리 시스템을 제시한다. 능동 규칙을 이용한 공간 객체의 무결성 확인은 응용 프로그래머를 무결성 확인에 대한 부담으로부터 자유롭게 할 수 있다. 본 시스템은 특정 DBMS에 종속되지 않는 독립적인 외부 시스템으로 존재하며, 능동 규칙 관리기, 규칙 베이스, 그리고 활성규칙 생성기의 3 부분으로 구성된다. 사용자가 공간 데이타베이스 응용 프로그램을 통해 공간 객체를 조작하고자 할 때, 본 시스템은 데이타베이스 트랜잭션을 단위로 조작되는 모든 공간 객체의 무결성 확인을 위해 응용 프로그램에 삽입될 무결성 제약조건 규칙들을 효율적으로 관리하는 역할을 한다.Abstract It is necessary that the integrity of spatial data shared through the spatial database system is validated and appropriately maintained, otherwise the activity of whole application system is unpredictable. Specially, the integrity of spatial data stored in public GIS has to be validated, because those data are used by various applications which make a decision on an important policy of the region and/or whole nation such as evaluation of land use, city planning, resource management, facility management, risk management/safety supervision, national defense. In this paper, we propose rule management system to support validating the integrity of spatial object, using the technique of active rule technique from active DBMS. Validating data integrity using active rules allows database application programmer to be free from a burden on validation of the data integrity. This system is an independent, external system that is not subject to specific DBMS and consists of three parts, which are the active rule manager, the rule base, and the triggered rule generator. When an user tries to manipulate spatial objects through a spatial database application program, this system serves to efficiently manage integrity rules to be inserted into the application program to validate the integrity constraints of all the spatial objects manipulated by database transactions.

The Design of Geographic Information System based on Object Grouping (객체그룹화에 기반한 지리정보시스템의 설계)

  • Kang, Shin-Bong;Joo, In-Hak;Choy, Yoon-Chul
    • Journal of Korean Society for Geospatial Information Science
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    • v.3 no.1 s.5
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    • pp.45-54
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    • 1995
  • The relational data model is based on mathematical concept of relations and is well formulated, and so there have been numerous practical applications and studies. However, it is not suitable for representing a complex hierarchical structure, which is the characteristic of most geographical objects. On the other hand, the object-oriented data model can naturally represent a complex hierarchical structure, but there is a difficulty in sharing data with the relational data model which is currently used by most commercial GIS users. Also it has no standard query language with standardized format. In this paper, we propose an Object Grouping based on RDBMS to use data from a traditional relational data model while supporting various concepts of the object-oriented data model, and we applied this data model to design a GIS.

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Depaysement expressed in Fashion Window Display - Focused on Department stores in US, France and Japan - (패션윈도우 디스플레이에 나타난 데페이즈망(Depaysement) - 미국, 프랑스, 일본 백화점을 중심으로 -)

  • Heo, Seungyeun;Lee, Younhee
    • Journal of the Korean Society of Costume
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    • v.64 no.3
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    • pp.1-12
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    • 2014
  • The purpose of this study is to investigate the Depaysement techniques in a new perspective, which are applicable to fashion window display. It was investigated by studying the case of Depaysement expressed in contemporary fashion window display. The analysis object of this study was limited to window displays shown at the world's most famous department stores in the last five years. The data was collected through related specialty publications and each department store's websites. The framework for analysis of this study is established by relevant precedent studies. The results of this study were drawn form comparative quantitative analysis from an expert group. Through the study, the characteristics of Depaysement in the contemporary fashion window display were classified into 'Change of forms and materials', 'Heterogeneous combination of objects', 'Location change of an object', 'Conversion of recognition on an object' and 'Change of spatial awareness'. The expression approaches were 'Change of scale', 'Change of materials', 'Combination of heterogeneous objects', 'Heterogeneous combination', 'Arrangement of object in a strange space', 'Change of display method', 'Overlapped object', 'Paradoxical image', 'Variable awareness of boundary' and 'Reorganization of interior space and change of materials'.

Dynamic Load Shedding Scheme based on Input Rate of Spatial Data Stream and Data Density (공간 데이터스트림의 입력 빈도와 데이터 밀집도 기반의 동적 부하제한 기법)

  • Jeong, Weonil
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.2158-2164
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    • 2015
  • In u-GIS environments, various load shedding techniques have been researched in order to balance loads caused by input spatial data streams. However, typical load shedding methods on aspatial data lack regard for characteristics of spatial data, also previous load shedding approaches on spatial, which still lack regard for spatial data density or dynamic input data stream, give rise to troubles on spatial query processing performance and accuracy. Therefore, dynamic load shedding scheme over spatial data stream is proposed through stored spatial data deviation and load ratio of input data stream in order to improve spatial continuous query accuracy and performance in u-GIS environment. In proposed scheme, input data which are a big probability related to spatial continuous query may be a strong chance to be dropped relatively.

Path Prediction of Moving Objects on Road Networks through Analyzing Past Trajectories (도로 네트워크에서 이동 객체의 과거 궤적 분석을 통한 미래 경로 예측)

  • Kim, Jong-Dae;Won, Jung-Im;Kim, Sang-Wook
    • Journal of Korea Spatial Information System Society
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    • v.8 no.2 s.17
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    • pp.109-120
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    • 2006
  • This paper addresses techniques for predicting a future path of an object moving on a road network. Most prior methods for future prediction mainly focus their attention on objects moving in Euclidean space. A variety of applications such as telematics, however, deal with objects that move only over road networks in most cases, thereby requiring an effective method of future prediction of moving objects on road networks. In this paper, we propose a novel method for predicting a future path of an object by analyzing past trajectories whose changing pattern is similar to that of a current trajectory of a query object. We devise a new function that measures a similarity between trajectories by reflecting the characteristics of road networks. By using this function, we predict a future path of a given moving object as follows: First, we search for candidate trajectories that contain subtrajectories similar to a given query trajectory by accessing past trajectories stored in moving object databases. Then, we predict a future path of a query object by analyzing the moving paths along with a current position to a destination of candidate trajectories thus retrieved. Also, we suggest a method that improves the accuracy of path prediction by regarding moving paths that have just small differences as the same group.

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Analysis of Internal Loading for Triple Manipulator Robotics

  • Chung, Jae-Heon;Yi, Byung-Ju;Kim, Whee-Kuk
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1603-1608
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    • 2003
  • Multiple robotics systems with several sub-chains have a characteristic that grasp a common object with internal loading not to loose the grip. The investigation for the internal loading of a triple manipulator has been few as compared to a dual manipulator. In this paper, type of the internal loading for a triple manipulator system is investigated through analysis of the null space of the system. Several types of the internal loading are shown for general planar and spatial type triple robots, which rigidly grasp the common object. The general scheme is applied to analysis of the internal loading for the three-fingered and three-legged robots having a point contact with the grasped object.

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Image Recomposition Using Seam Carving and Insertion Considering the Rule of Thirds

  • Lee, Jon-Ha;Kim, Kyumok;Park, Jinwon;Park, Ji Yeol;Jung, Seung-Won
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.1
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    • pp.1-4
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    • 2016
  • In this paper, we present an algorithm for adjusting the position of a user-specified object considering image aesthetics. Specifically, the user-specified object is positioned according to the rule of thirds by inserting or deleting unimportant seam lines from the image. To find such seam lines, a novel weight map is designed using the spatial and color distances from the object. We also design and analyze two approaches to seam carving and insertion. Experimental results show that the proposed method can be used as an effective semi-automatic image recomposition scheme.

People Detection Algorithm in the Beach (해변에서의 사람 검출 알고리즘)

  • Choi, Yu Jung;Kim, Yoon
    • Journal of Korea Multimedia Society
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    • v.21 no.5
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    • pp.558-570
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    • 2018
  • Recently, object detection is a critical function for any system that uses computer vision and is widely used in various fields such as video surveillance and self-driving cars. However, the conventional methods can not detect the objects clearly because of the dynamic background change in the beach. In this paper, we propose a new technique to detect humans correctly in the dynamic videos like shores. A new background modeling method that combines spatial GMM (Gaussian Mixture Model) and temporal GMM is proposed to make more correct background image. Also, the proposed method improve the accuracy of people detection by using SVM (Support Vector Machine) to classify people from the objects and KCF (Kernelized Correlation Filter) Tracker to track people continuously in the complicated environment. The experimental result shows that our method can work well for detection and tracking of objects in videos containing dynamic factors and situations.