• Spatial Information Research
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• v.18 no.1
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• pp.69-76
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• 2010

Spatial data streams from sensors are useful in context-awareness for many types of applications. However, an important gap is found between spatial data stream management in real-time and complex computation for spatial context-awareness, and this brings about serious difficulty to integrate spatial data stream processing and context-awareness. In this paper, we present a system called SCONSTREAM(Spatial CONtext STREAm Management) that we have developed to resolve the gap between spatial data stream and context-awareness. The key approach of our system is to filter off unnecessary spatial data streams and convert them to the spatial context streams, which are smaller and more suitable to be processed by the context-awareness module than raw data from sensors. By experimentation, We show that SCONSTREAM resolves the functional gap between spatial stream processing and spatial context-awareness module.

• The KIPS Transactions:PartD
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• v.13D no.6 s.109
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• pp.789-796
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• 2006

Context-aware is the core in ubiquitous environment of sensor network to support intelligent and contextual adaptation service. The new context information model is demanded to support context-aware applications. The model should not depend on a specified application and be shareable between applications in the same environment. Also, it should support various context representation and complex context-aware. In this paper, we define the context information according to context-aware process. Also we design the knowledge of domain as well as applications using ontologies and rules. The domain spatial ontology and application knowledge are represented using the spatial object model and the rules of expanded ontologies, respectively. The expression of abundant spatial ontology represents the context information about distance between objects and adjacent object as well as the location of the object. The proposed context information model which is able to exhibit various spatial context and recognizes complex spatial context through the existing GIS. This model shows that it can adapt to a large scale outdoor context-aware applications such as air pollution and prevention of disasters as well as various context-aware applications.

• International Journal of Contents
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• v.7 no.1
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• pp.29-36
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• 2011

Gestures have been employed for human computer interaction to build more natural interface in new computational environments. In this paper, we describe our approach to develop a gesture interface using spatial context information. The proposed gesture interface recognizes a system action (e.g. commands) by integrating gesture information with spatial context information within a probabilistic framework. Two ontologies of spatial contexts are introduced based on the spatial information of gestures: gesture volume and gesture target. Prototype applications are developed using a smart environment scenario that a user can interact with digital information embedded to physical objects using gestures.

• Journal of the Korean housing association
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• v.18 no.4
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• pp.69-78
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• 2007

This study is to describe the changes of spatial structure of Korean traditional housing in urban context with the following preconditions. Firstly, Chosun Hanyang's urban housing should be classified as it's own type. Secondly, Chosun's traditional housing accomplishes a complete urban housing type in Japanese colonial period through the stream of time. And the purpose of this study is as followings. First is to find out the process of changes of urban housing in urban context from the latter period of Chosun Dynasty to 1960's. Second is to find out the origin of spatial structure of urban house which is being kept throughout the above changes. Third is to find out the unique characteristics of urban house and the fundamental differences with folk houses in province.

• The Journal of Korea Robotics Society
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• v.1 no.1
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• pp.36-45
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• 2006

In this paper, we introduce visual contexts in terms of types and utilization methods for robust object recognition with intelligent mobile robots. One of the core technologies for intelligent robots is visual object recognition. Robust techniques are strongly required since there are many sources of visual variations such as geometric, photometric, and noise. For such requirements, we define spatial context, hierarchical context, and temporal context. According to object recognition domain, we can select such visual contexts. We also propose a unified framework which can utilize the whole contexts and validates it in real working environment. Finally, we also discuss the future research directions of object recognition technologies for intelligent robots.

• Journal of the Korean housing association
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• v.22 no.1
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• pp.35-42
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• 2011

The objective of this study is to investigate the functional conformity based on the analysis of the spatial connectivity of block housing using space syntax. Three cases were selected which have important meanings in 1920s. The properties of spatial configuration were derived from an urban-context approach and without urban context analysis, and spatial connectivity and functional conformity were analyzed using references. The results of the study revealed that the arrangement of block housing were different from one another notwithstanding their similar layout characteristics. The relationships between urban streets and housing complexes were identified, and the public spaces were being arranged as semi-public spaces, whereas blocks as private spaces by separating functions. This study provides the implications for the planning of low rise-high density housings by means of analyzing the spatial connectivity of the spatial layout characteristics of European block housing, recognizing the relationships between urban communities and housing complexes.

• Korean Institute of Interior Design Journal
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• v.21 no.6
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• pp.252-259
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• 2012

The aim of this study is in emphasizing the importance of the use of material and the tectonic and their influence on the spatial quality by analyzing Peter Zumthor's projects as case studies. In the research, Zumthor's choice of material, construction method (detail and structure) and the relationship with the context were analyzed in order to illustrate Zumthor's approach in making a strong tie with the locality. Three of Zumthor's projects of different sizes and programs were chosen to heighten the sensitivity of Zumthor's unique working method for each project. Peter Zumthor's architecture is neither superficial nor visually complex. On the contrary, he aims to express through the use of material and construction method, a unique relationship with the physical context, social context and most importantly the actual experience of the space itself. This study aims to contribute towards increasing the awareness and the interest in the materiality and the tectonics which are the fundamentals in spatial experience and spatial identity.

• Spatial Information Research
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• v.18 no.1
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• pp.101-107
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• 2010

Context-aware technologies have become the one of core technologies for intelligent urban geospatial services in ubiquitous computing environment. To provide context-aware intelligent services, various technologies including for context-aware modelling, context-aware sensing and context-aware service middleware are required. Among them, especially, ontologies are very useful for modelling, interpreting and reasoning context informations across various domains. In this research, the recent trends of context-awareness technologies and ontologies are reviewed to build a conceptual architecture for intelligent urban geospatial services. Considering it, the strategies of intelligent urban geospatial services are proposed.

• Journal of architectural history
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• v.13 no.1 s.37
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• pp.35-51
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• 2004

The object of this study is upper class house in Yang-dong village with the purpose of spatial-sociological study of traditional Korean architecture. Space is the basic element of architecture and is fundamental for understanding architecture. Space, however, can be better understood through its social context rather than through its physical or psychological attributes. Space exists in a society, providing the physical environment which frames it Social environment affects the thoght of people who are members of that society. Space is built by the people in a society and is affected by their thought. Spatial-sociological study can explain a mutual relation between people and space through context. It defines characteristics of space based on mutual relations which exist among the people, the culture of society and the environment of society but also having a sociological component, study of architectural space should consider the social context. Since architectural space is built on social and cultural bases, to understand it requires various methods of study Spatial-sociological analysis is one alternative. Using space syntax, this study analyzes houses in Yang-dong village by not only defining attributes of individual houses, but also common attributes of houses in the village. Based on common attributes of houses in the village, the attributes of Yang-dong village houses can be re-defined within the social context. the results from a spatial-sociological analysis of upper class housing of the Yang-dong village are as follows; (1) Related to confucian ideas in Chosun Dynasty : A house has a dualistic center organized with 'an-chae' and 'sarang-chae'. 'an-chae' space is organized unsociably from outside. (2) Related to various space pattern of Yang-dong village House in the Chosun Dynasty period :As variations in the types of space pattern, the village house exhibit different attributes.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.141-145
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• 2009

In this paper, we propose an efficient lossless compression algorithm using spatial and temporal information. The proposed method obtains higher lossless compression of images than other lossless compression techniques. It is divided into two parts, a motion adaptation based predictor part and a residual error coding part. The proposed nonlinear predictor can reduce prediction error by learning from its past prediction errors. The predictor decides the proper selection of the spatial and temporal prediction values according to each past prediction error. The reduced error is coded by existing context coding method. Experimental results show that the proposed algorithm has better performance than those of existing context modeling methods.