• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.9
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• pp.9-20
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• 2018

There are many large and small spaces in the interior of the building, and these spaces are arranged and connected to form a systematic spatial structure. A structure is a collection of several parts to form a whole. In other words, the spatial structure in architecture can be seen as a whole organized and organized as individual unit spaces are gathered together. Therefore, in order to understand the spatial structure, we first need to define the unit spaces that form part, how they are interconnected and arranged, and then understand how and how these unit spaces are organized to form a whole. The main purpose of this study is to study the structural system of space based on the shape information of space on architectural plane. This means interpreting the process and method of how the unit spaces defined as a certain shape on the architectural plane are organized step by step, integrated into a higher level, and eventually integrated into one whole. In this paper, the shape and layout of the unit space are identified in the architectural plan, the connection relation is defined, and expressed in the network form. And suggests a new methodology for interpreting the organizational process in which the following spaces are integrated as a whole. This new methodology is based on human perceptual characteristics. When people recognize an object, they recognize the object partly and completely. We want to explain the relationship between parts of space and the whole according to their characteristics.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.6
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• pp.809-826
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• 2013

This study considers types of expression and examines aesthetic characteristics by analyzing images expressed through space directing at Chanel Fashion Shows. The conclusions of this study are as follows. The expression types on space directing at Chanel Fashion Shows are what is presented by distributing huge objects associated with Fashion Shows at the center or back of the stage, integrating several detailed decorative elements while maintaining the morphological characteristics of the runway in a linear form, and utilizing an inartificial place or newly forming the whole stage. The symbolism characteristic was first indicated for the aesthetic characteristics on space directing at Chanel Fashion Shows. Symbolism is indicated through the identification of an implicit meaning towards a specific object. The symbolism was highlighted utilizing elements or stories that have a deep association with Chanel. Second, the characteristic of ecology was expressed through the recognition of the importance of the ecological environment by escaping the harmful practices of civilization such as environmental disasters and human alienation. The expression of visual ecology was emphasized utilizing themes related to environmental disasters or reviving the space of primitive nature. Third, the characteristic of fantasy was shown to express thoughts that originated from the human yearning for the ideal world contrary to an incomplete society. Fantasy was created by the inaccessible object in reality and a change in spatial structure. Fourth, the characteristics of amusement expressed pleasure, which is the instinctive desire truly immanent in a human being. It was natural amusement, which was advocated as freedom through the integration of neutrality, integrating either diverse elements (which are naturally recognized in our daily life) into Fashion Shows or amusement, which expressed newness through utilizing unusual objects in Fashion Shows.

• ETRI Journal
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• v.29 no.4
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• pp.411-420
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• 2007

The steady evolution of mapping technology is leading to an increasing availability of multi-sensory geo-spatial datasets, such as data acquired by single-head frame cameras, multi-head frame cameras, line cameras, and light detection and ranging systems, at a reasonable cost. The complementary nature of the data collected by these systems makes their integration to obtain a complete description of the object space. However, such integration is only possible after accurate co-registration of the collected data to a common reference frame. The registration can be carried out reliably through a triangulation procedure which considers the characteristics of the involved data. This paper introduces algorithms for a multi-primitive and multi-sensory triangulation environment, which is geared towards taking advantage of the complementary characteristics of spatial data available from the above mentioned sensors. The triangulation procedure ensures the alignment of involved data to a common reference frame. The devised methodologies are tested and proven efficient through experiments using real multi-sensory data.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.3
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• pp.24-40
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• 2001

The design and implementation of agents is an essential part of the development of immersive types of tutoring systems using virtual reality. This paper proposes several effective mechanisms for the design and implementation of agents. Unlike existing researches we focus on accommodating diversity of agents' behavior in the proposed mechanisms. First, we define the space object based on the field theory. The introduction of the field theory allows us to approach the space objects in a structural manner rather than by their classification. We can also achieve dynamic genesis and extinction of the space objects, and derivation of overall changes in spatio-temporal situations. Second, we classify the behavior of agents into composite behaviors and primitive actions in order to achieve its dynamic planning. Finally, we distribute the knowledge among agents and their associated objects according to their interrelations. By this distribution, we can handle the otherwise prohibitively large amount of knowledge related to agents' behaviors and construct a dynamic environment. By implementing a situation with agent's navigation across a composite space object, we demonstrate the effectiveness of these schemes presented above.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.139-150
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• 2021

Object orientation has become the predominant paradigm for conceptual modeling (e.g., UML), where the notions of class and object form the primitive building blocks of thought. Classes act as templates for objects that have attributes and methods (actions). The modeled systems are not even necessarily software systems: They can be human and artificial systems of many different kinds (e.g., teaching and learning systems). The UML class diagram is described as a central component of model-driven software development. It is the most common diagram in object-oriented models and used to model the static design view of a system. Objects both carry data and execute actions. According to some authorities in modeling, a certain degree of difficulty exists in understanding the semantics of these notions in UML class diagrams. Some researchers claim class diagrams have limited use for conceptual analysis and that they are best used for logical design. Performing conceptual analysis should not concern the ways facts are grouped into structures. Whether a fact will end up in the design as an attribute is not a conceptual issue. UML leads to drilling down into physical design details (e.g., private/public attributes, encapsulated operations, and navigating direction of an association). This paper is a venture to further the understanding of object-orientated concepts as exemplified in UML with the aim of developing a broad comprehension of conceptual modeling fundamentals. Thinging machine (TM) modeling is a new modeling language employed in such an undertaking. TM modeling interlaces structure (components) and actionality where actions infiltrate the attributes as much as the classes. Although space limitations affect some aspects of the class diagram, the concluding assessment of this study reveals the class description is a kind of shorthand for a richer sematic TM construct.

• Journal of the Korea Computer Graphics Society
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• v.7 no.1
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• pp.1-9
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• 2001

We present a scheme and a data structure that decompose the space into adaptive-sized cells to improve the visualization of soft objects. Soft objects are visualized through the evaluation of the field functions at every point of the space. According to the propsed scheme, the affecting soft objects for a point in the space is searched through the data structure called interval tree based on the bounding volume of the components, which represent a soft object whose defining primitive(skeleton) is a simple geometric object such as point or line segment. The bounding volume of each component is generated with respect to the radius of a local field function of the component, threshold value, and the relations between the components and other neighboring components. The proposed scheme can be used in many applications for soft objects such as modeling and rendering, especially in interactive modeling process.

• Journal of Digital Contents Society
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• v.15 no.4
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• pp.527-532
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• 2014

Recently, due to the proliferation of mobile smart devices, the inovation of bigdata, which analyzes and processes massive data collected from various sensors implaned in smart devices, expands to LBSs. Many location prediction techniques for moving objects have been studied in literature. However, as the majority of studies perform location prediction which depends on specific applications, they hardly reflect the technical requirements of next-generation spatio-temporal information services. Therefore, this paper proposes the design of general-purpose distributed moving object prediction query processing framework that is capable of performing primitive and various types of queries effectively based on massive spatio-temporal data of moving objects in real-world space networks.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.864-867
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• 2007

Recent advancement in ICT and IT infrastructure drives the construction industry towards a IT-based industry. Accordingly, the importance of the planning phase of a project is significantly highlighted due to recent large-scale national development projects such as U-city and multifunctional administration city. various development and studies are conducted on the convergence of 3D CAD and GIS in order to support the decision making by simulation of each phase of construction prior to the actual construction of a building. However there has been limits to the implementation of the IT technology in the planning phase due to its characteristics such as high reliability on the experts knowledge and the compliance of the administration work. In this study, a trendy issue of the convergence of the GIS technology with the 3D CAD design data is suggested to improve the efficiency of a decision support in the planning phase.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.3
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• pp.127-134
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• 2018

Electric transmission towers are facilities to transport electrical power from a plant to an electrical substation. The towers are connected using power lines that are installed with a proper sag by loosening the cable to lower the tension and to secure the sufficient clearance from the ground or nearby objects. The power line sag may extend over the tolerance due to the weather such as strong winds, temperature changes, and a heavy snowfall. Therefore the periodical mapping of the power lines is required but the poor accessibility to the power lines limit the work because most power lines are placed at the mountain area. In addition, the manual mapping of the power lines is also time-consuming either using the terrestrial surveying or the aerial surveying. Therefore we utilized multiple overlapping images acquired from a low-cost drone to automatically reconstruct the power lines in the object space. Two overlapping images are selected for epipolar image resampling, followed by the line extraction for the resampled images and the redundant images. The extracted lines from the epipolar images are matched together and reconstructed for the power lines primitive that are noisy because of the multiple line matches. They are filtered using the extracted line information from the redundant images for final power lines points. The experiment result showed that the proposed method successfully generated parabolic curves of power lines by interpolating the power lines points though the line extraction and reconstruction were not complete in some part due to the lack of the image contrast.