• Journal of Korean Society for Geospatial Information Science
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• v.16 no.2
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• pp.31-40
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• 2008

The indicators of an advanced society include the overall level of life quality and satisfaction among all the members. The overall life quality has close relationships with accessibility to urban space for the social weak. Access to facilities of interest and right of mobility in urban space are very important issues to the weak class in terms of transportation including the visually handicapped. In particular, great significance is endowed upon transfer facilities, which play mediating roles between facilities like passenger facilities, and the convenience facilities inside for the disabled, which are usually the only means for the disabled to access each facility. As they are provided to the visually handicapped as well, it's very important to analyze the concerned spatial distribution and offer the results. The previous studies on the subject, however, merely covered the perceptions of the users and the related statistical analysis. This study set out to analyze non-barrier space to promote the utilization of convenience facilities at passenger facilities by the visually handicapped and to secure their right of mobility by using a GIS for spatial analysis based on spatial data. The results show that it's urgent to supplement the existing space for the handicapped and that it's necessary to expand convenience facilities for the disabled such as paths with Braille points on them to promote their use of diverse convenience facilities inside.

• Journal of the Korean Geographical Society
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• v.44 no.3
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• pp.301-322
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• 2009

This paper is an attempt to explore semiotic representations of subway space as the urban machine space of local mobility in terms of space, time and place. For this, the second section of the paper reviews the contours of the urban space of mobility in terms of 'machine space', 'non-place' and 'cognitive map'. The third section interprets the sings of 'spatial' and 'temporal' representations of subway space in Daegu, and suggests the implications of the semiotic representations. It is uncovered that various sign-scapes which coexist in the subway space in coordinated or contradictory ways product the space into multiple and complex techno-social spaces. That is, the spatio-temporal representations of the subway space form the space of 'non-place' on the one hand and the space of 'place' on the other hand, and involve the spatialization of 'memory' on the one hand and the spatialization of 'forgetting' on the other hand. Thus, the subway space should be regarded to be not only the space of 'mobility' which people move in and through, but also the space of 'identity' which has effects on the ways for them to see the machine space and its urban space.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.4
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• pp.372-378
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• 2009

For effective mobility control of unmanned ground vehicles in outdoor off-road environments, terrain cover classification technology using passive sensors is vital. This paper presents a novel method far terrain classification based on color and texture information of off-road images. It uses a neural network classifier and wavelet features. We exploit the wavelet mean and energy features extracted from multi-channel wavelet transformed images and also utilize the terrain class spatial coordinates of images to include additional features. By comparing the classification performance according to applied features, the experimental results show that the proposed algorithm has a promising result and potential possibilities for autonomous navigation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.5
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• pp.343-350
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• 2019

Map labels are the most recognizable map elements using the human visual system because they are essentially a natural language. In this study, an experiment was conducted using an eye-tracker to objectively record and analyze the response of subjects regarding visual attention to map labels. A primary building object was identified by analyzing visit counts, average visit duration, fixation counts, and the average fixation duration of a subject's gaze for an area of interest acquired using the eye-tracker. The unmarked rate of map labels in Google map, Naver map, and Daum map was calculated. As a result, this rate exceeded fifty-one percent, with the lowest rate recorded for Google map. It is expected that the results of this study will contribute to an increase in the diversity of research in terms of the spatial cognition approach for map labels, which is more helpful to users than the existing body of work on methods of expression for labels.

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

• Journal of the Korean Society of Costume
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• v.56 no.7 s.107
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• pp.85-100
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• 2006

Fashion related with architectural paradigms includes concept of the space utilization beyond fashions field. Such a fashions concept is able to enlarge as a spatial system like architecture. Interface between fashion and architecture is originated in thinking of the rhizome, which understands fashions field within various relationships between environment of the city and fashion. The existing construction systems of fashion is not sufficient in fashions roles as the space that wearing changing body continuously. Consequently, accommodation of architectural paradigms in fashion depends on new recognition about function and space. Architectural paradigms expressed in fashion since 1990s was classified as follows: 1 modular system of Le Corbusier & Archigram, 2 deconstruction, 3 reconstruction, 4 nomadic architecture. Such a paradigms has been easy to combination among fashion and architecture and furniture. Deconstruction and reconstruction fashion revealed process toward completion, and reappeared architectural consideration about process of change toward incompletion. There are acknowledged formative characteristics as follows: mobility, changeability, multi-function, mutual combinative, openness, and fluidity. This study shows that fashion is essential device determined city environment construction in 21C, and revels that fashion has been highlighted as a presage of new spatial economy received architectural construction systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.1909-1928
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• 2020

Predicting human mobility has always been an important task in Location-based Social Network. Previous efforts fail to capture spatial dependence effectively, mainly reflected in weakening the location topology information. In this paper, we propose a neural network-based method which can capture spatial-temporal dependence to predict the next location of a person. Specifically, we involve a graph convolutional network (GCN) based on a seq2seq framework to capture the location topology information and temporal dependence, respectively. The encoder of the seq2seq framework first generates the hidden state and cell state of the historical trajectories. The GCN is then used to generate graph embeddings of the location topology graph. Finally, we predict future trajectories by aggregated temporal dependence and graph embeddings in the decoder. For evaluation, we leverage two real-world datasets, Foursquare and Gowalla. The experimental results demonstrate that our model has a better performance than the compared models.

• Journal of Korea Spatial Information System Society
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• v.5 no.1 s.9
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• pp.13-25
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• 2003

The advent of LBS is caused by mobility advantage of wireless internet. The mobility has the information such as location which is based on LBS(Location based Services). It comes out as a killer application for wireless internet when market of wireless internet is diffused. In this paper, we build up the technical model and survey the requirement of technologies related LBS expanded as wireless internet services rapidly. First, we construct the conceptual model for LBS based on functions of LBS and characteristics of foreign models. This model is consisted of generalized components of LBS and can be used as a basic model to survey the requirement of each technologies. Second, we survey the demand of each technology for LBS. Then we analyze the importance of technologies for LBS to prepare developing various LBS. From this research, we can introduce proper plans and policy for LBS to develop technology stepwise, to promote industry activities and how to make up the foundation for LBS by government.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.126-132
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• 2015

In mobile computing research area, it is highly desirable to understand the characteristics of user movement so that the user friendly location aware services could be rendered effectively. Location based social networks (LBSNs) have flourished recently and are of great potential for movement behavior exploration and datadriven application design. While there have been some efforts on user check-in movement behavior in LBSNs, they lack comprehensive analysis of social influence on them. To this end, the social-spatial influence and social-temporal influence are analyzed synthetically in this paper based on the related information exposed in LBSNs. The check-in movement behaviors of users are found to be affected by their social friendships both from spatial and temporal dimensions. Furthermore, a probabilistic model of user mobile behavior is proposed, incorporating the comprehensive social influence model with extent personal preference model. The experimental results validate that our proposed model can improve prediction accuracy compared to the state-of-the-art social historical model considering temporal information (SHM+T), which mainly studies the temporal cyclic patterns and uses them to model user mobility, while being with affordable complexity.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.334-349
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• 2008

In this study, the network formation process of personal actors in industries for the elderly was analyzed. This process is applied to the knowledge creation model of the SECI (Nonaka-Takeuchi learning cycle), that is socialization, externalization, combination, internalization. There are some kinds of opportunities to interact in these industries in the forms of field survey teams to overseas, some seminars and symposiums, many kinds of meetings, education and training programs, trade fairs and on-line forums. These palces(ba) - originating ba, interacting ba, cyber ba, exercising ba - played great roles in the formation of personal actor networks. Personal actors had opportunities to interconnect with distant actors through those places(ba). In the spatial perspective, personal actors could make face-to-face contact and build trust through temporary geographical proximity or temporary clusters with the help of personal mobility. Relations in the virtual spaces such as the Internet community did much toward building personal networks.