• Journal of Cadastre & Land InformatiX
• /
• v.52 no.1
• /
• pp.105-118
• /
• 2022

The demand for information related to 3D spatial objects model in metaverse, smart cities, digital twins, autonomous vehicles, urban air mobility will be increased. 3D model construction for spatial objects is possible with various equipments such as satellite-, aerial-, ground platforms and technologies such as modeling, artificial intelligence, image matching. However, it is not easy to quickly detect and convert spatial objects that need updating. In this study, based on spatial information (features) and attributes, using matching elements such as address code, number of floors, building name, and area, the converged building DB and the detected building DB are constructed. Both to support above and to verify the suitability of object selection that needs to be updated, one system prototype was developed. When constructing the converged building DB, the convergence of spatial information and attributes was impossible or failed in some buildings, and the matching rate was low at about 80%. It is believed that this is due to omitting of attributes about many building objects, especially in the pilot test area. This system prototype will support the establishment of an efficient drone shooting plan for the rapid update of 3D spatial objects, thereby preventing duplication and unnecessary construction of spatial objects, thereby greatly contributing to object improvement and cost reduction.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.37 no.1
• /
• pp.187-193
• /
• 2017

Government has established and operated GIS Data Base in such fields as land-use, road, and underground facilities since 1995. Based on these circumstances, the importance of spatial information industry began to emerge and accordingly MLIT (Ministry of Land, Infrastructure and Transport) established "National Spatial Information Policy Master Plan" and "National Spatial Information Policy Action Plan". However, compared to other fields of transportation, the spatial information data base for railway facilities are not established and provided systematically. As shown in 'Korea National Spatial Data Infrastructure System', only 'transportation information' as an related information and 'transportation' field as an administrative information are included in the system. Detailed information for railway and its facilities are not included in the system. The reason why detailed information for railway facilities are not included in the system is that regulations for establishing and utilizing the spatial information of railway and its facilities are imperfect. In this study, trend of establishing spatial information and regulations related to railway and its facilities are reviewed. Through this review, improvement items such as complementing existent laws and establishing organization for managing spatial information data of railway are deduced and suggested. Based on this research 'Korea National Spatial Data Infrastructure System' could set a legal fundament and both integrated maintenance and operation of railway facilities could be possible.

• Language and Information
• /
• v.18 no.2
• /
• pp.141-168
• /
• 2014

Recognizing spatial information associated with events expressed in natural language text is essential not only for the interpretation of such events and but also for the understanding of the relations among them. However, spatial information is rarely mentioned as compared to events and the association between event and spatial expressions is also highly implicit in a text. This would make it difficult to automate the extraction of spatial information associated with events from the text. In this paper, we give a linguistic analysis of how spatial expressions are associated with event expressions in a text. We first present issues in annotating narrative texts with reference relations between event and spatial expressions, and then discuss surface-level linguistic characteristics of such relations based on the annotated corpus to give a helpful insight into developing an automated recognition method.

• International Journal of Internet, Broadcasting and Communication
• /
• v.9 no.3
• /
• pp.1-8
• /
• 2017

Recently, the development of the head mounted display (HMD) device has attracted a great deal of attention to the actual contents. Especially, Augmented Reality (AR), which is a mixture of actual information and virtual world information, is focused on. AR HMD is able to interact by arranging virtual objects in real space through spatial recognition using depth camera. In order to naturally mix virtual space with real space, it is necessary to develop a technology for realizing spatial mapping information with high accuracy. The purpose of this paper is to evaluate the optimal configuration of augmented reality application program by realizing accurate spatial mapping information when mapping a real space and an object placement environment using HoloLens. To do this, we changed the spatial mapping information in real space to three levels, which are the number of meshes used in cubic meters to scan step by step. After that, it was compared with the 3D model obtained by changing the actual space and mesh number. Experimental result shows that the higher the number of meshes used in cubic meters, the higher the accuracy between real space and spatial mapping. This paper is expected to be applied to augmented reality application programs that require scanning of highly mapped spatial mapping information.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.3
• /
• pp.167-177
• /
• 2021

Facilities located in the underground space are closely related to the sanitation and safety of the city, and the underground spatial information is precisely constructed and used as important information for facility maintenance, safety, and underground space development. In this study, a method was studied to increase the field usability by increasing the reliability of underground spatial information constructed in Korea and used in the field. For this study, the current status of the construction of underground spatial information in Korea was summarized, and cases of the underground spatial information quality grading system applied in the US, UK, Canada, France, and Australia, which are advanced geospatial information countries, were investigated. In terms of field usability, a questionnaire was conducted on the systems, standards, and management methods related to underground spatial information of field experts and consumers working in related fields in Korea, and statistical analysis was conducted to analyze the relevance of the introduction. Through this study, it was concluded that it is necessary to introduce a quality grading system according to the construction method of underground spatial information, accuracy and reliability, and to improve related systems and regulations.

• Journal of Korea Spatial Information System Society
• /
• v.11 no.2
• /
• pp.162-169
• /
• 2009

The real-time traffic data is generated continuous and unbounded stream data type while intelligent transport system (ITS) needs to provide various and high quality services by combining with spatial information. Traditional database techniques in ITS has shortage for processing dynamic real-time stream data and static spatial data simultaneously. In this paper, we design and implement an advanced traffic monitoring system (ATMS) with the integration of existed data stream management system (DSMS) and spatial DBMS using IntraMap. Besides, the developed ATMS can deal with the stream data of DSMS, the trajectory data of relational DBMS, and the spatial data of SDBMS concurrently. The implemented ATMS supports historical and one time query, continuous query and combined query. Application programmer can develop various intelligent services such as moving trajectory tracking, k-nearest neighbor (KNN) query and dynamic intelligent navigation by using components of the ATMS.

• Journal of Cadastre & Land InformatiX
• /
• v.47 no.2
• /
• pp.121-133
• /
• 2017

Technical regulations in the spatial information domain have been developed by a variety of independent organizations and raised inconsistent and overlapping problems with spatial information standards. Many research projects have been done to solve these problems but due to the difficulty of changing or modifying existing administrative regulations, almost nothing has happened for the harmonization. As a response to the fundamental problem, KATS (Korean Agency for Technology and Standards) recently switched the existing system to "trans- governmental participatory standard operation system" and the administrative change created an independent and consistent standard system in the Ministry of Land, Infrastructure and Transport. The Ministry, as a part of the effort, established its own KSDI(Korean Spatial Data Infrastructure) Standard system. From this context this paper presents a redefinition of technical regulation for the harmonization with spatial information standards, an association model between the standards and regulations, and a maintenance methodology to solve the fore-mentioned problems.

• Journal of Advanced Information Technology and Convergence
• /
• v.9 no.2
• /
• pp.89-97
• /
• 2019

Recently, there is an increasing demand for applications utilizing maps and locations such as autonomous vehicles and location-based services. Since these applications are developed based on spatial data, interest in spatial data processing is increasing and various studies are being conducted. In this paper, I propose a parallel mining algorithm using the CUDA library to efficiently analyze large spatial data. Spatial data includes both geometric (spatial) and non-spatial (aspatial) attributes. The proposed parallel spatial data mining algorithm analyzes both the geometric and non-spatial relationships between two layers. The experiment was performed on graphics cards containing CUDA cores based on TIGER/Line data, which is the actual spatial data for the US census. Experimental results show that the proposed parallel algorithm using CUDA greatly improves spatial data mining performance.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.25 no.6_1
• /
• pp.485-497
• /
• 2007

By the rapid development of Information Communication Technology (ICT) and Geo-spatial Technology (GT) and the increased usage of spatial data for planning and infrastructure management, the National Geographic Information System (NGIS) for more efficient and effective utilization of spatial information has been developed by the central government in Korea since 1995. NGIS is the base of Spatial Data Infrastructure (SDI). SDI is developed as one of National Information Infrastructures (NII). Among the hierarchy of SDI, National Spatial Data Infrastructure (NSDI) has very important role in the success of SDI development. Many research articles show that the USA's NSDI initiatives, development strategy have been strongly influenced all over the world. In these viewpoints, to propose the future directions of Korean NGIS, the development of NSDI strategy of USA is reviewed by literature through published book and internet resources. The conclusions of this study are as follow: 1) top-down and bottom-up approach are needed for integrated data sharing and standardization. 2) the creative and evolutionary vision and strategy has to be suggested. 3) the training program and lecture material has to be developed and diffused to the users and providers of spatial data. 4) governance system has to be built for NSDI evaluation. 5) the formation of geo-spatial forum to discuss the spatial-related problems and make research agenda, etc.

• Spatial Information Research
• /
• v.6 no.2
• /
• pp.125-132
• /
• 1998

The I/O performance for spatial queries is extremely important since the handling of huge amount of multidimensional data is required in spatial databases for geographic information systems. Therefore, we describe representative spatial access methods handling complex spatial objects, z-transform B tree, KDB tree, R tree, MAX tree, to increase I/O performance. In addition, we measure the performance of spatial indexing schemes by testing against various realistic data and query sets. Results from the benchmark test indicates that MAX outperforms other indexing schemes on insertion, range query, spatial join. MAX tree is expected to use as index scheme organizing storage system of GIS in the future.