• Journal of KIISE
• /
• v.44 no.3
• /
• pp.332-337
• /
• 2017

When using IFC data consisting of STEP schema based on the EXPRESS language, it is not easy for collaborating project stakeholders to share BIM modeling shape information. The IFC viewer application must be installed on the desktop PC to review the BIM modeling shape information defined within the IFC, because the IFC viewer application not only parse STEP structure information model but also process the 3D feature construction for a 3D visualization. Therefore, we propose a lightweight data structure design for web visualization by parsing IFC data and constructing 3D modeling data. Our experimental results show the weight reduction of IFC data is about 40% of original file size and the web visualization is able to see the same quality with all web browsers which support WebGL on PCs and smartphones. If applied research is conducted about the web visualization based on IFC data of the last construction phase, it could be utilized in various fields ranging from the facility maintenance to indoor location-based services.

• The KIPS Transactions:PartA
• /
• v.9A no.4
• /
• pp.581-588
• /
• 2002

In implementing interactive multimedia systems, real-time visualization plays an important role. This paper presents efficient data structures and algorithms for real-time terrain navigation. Terrain data set is usually too huge to display as is. Therefore LOD (levels of detail) methods and view frustum culling are essential tools. This paper describes in detail compact hierarchical data structures, fast view frustum culling, and efficient LOD construction/rendering algorithms. Unlike previous works, we use a precise screen-space error metric for vertex removal and a strict error threshold allowing sub-pixel -sized errors only. Nevertheless, we can achieve 22 fps on average in a PC platform. The methods presented in this paper also satisfy almost all of the requirements for interactive real-time terrain Visualization.

• Archives of design research
• /
• v.17 no.2
• /
• pp.437-450
• /
• 2004

Advancement of the media it will be able to express the development and information of computer system causes a problem, how to get the information from plenty of digital data. It needs to the research that provides efficient interface to the user and presents the information visualization standard to the author Consequently, From this paper it investigated analysis of the dynamic diagram and the computer software it led development process of information visualization and result of development outcome. Important developing forms of Information visualization are include Element, Expression, Interface. For developing information visualization model, First, Find the element from many kind of media, include graphic. Second, Find form of the expression from past the diagram which comes to be used plentifully. Last, To get appropriate result it applies the interface, necessary from the interface component which is various uses from computer program. like this, on this paper presents about important three visualization developing forms with detail examples.

• Journal of Korea Multimedia Society
• /
• v.16 no.12
• /
• pp.1482-1494
• /
• 2013

As the result of this research, the user platform, which reflects the latest interface technology, supports the ideal interface environment in a future city through using the data from social media. The goal of this research is constructing the user interface platform to approach to the data in an easier and practical condition of the interface environment smart space of the future intelligent city for user. It constructs the main module to organize the platform. Interface user platform modules, which were all based on visualization of service, are constructed by visualization agents, visualization social networks, visualization icons, visualization services, visual data, visual maps and visual classes. In this research, by the variety of services including delivering information, to find the interface environment for the proper interface technology, this research suggests "Interface User Platform" as the result.

• Proceedings of the Korean Statistical Society Conference
• /
• 2003.10a
• /
• pp.27-29
• /
• 2003

정보화시대의 발전과 더불어 우리 일상생활에 친숙하게 다가온 기술 중의 하나가 지리정보시스템(Geographical Information System: GIS)이다. GIS는 공간(지표, 지하, 해양 등)상에 분포하고 있는 정보에 대해 여러 종류의 세밀한 지도를 이용하여 효율적으로 사용자에게 제공하여 관리하는 종합정보기술이다. 통계 데이터 중에는 지리정보를 가지고 있는 경우가 상당히 많다. 하지만 지리정보를 갖는 통계 데이터의 탐색적 자료분석(Exploratory Data Analysis)을 위한 Visualization 기법에 대해서는 별로 연구된 바가 없다. 본 논문에서는 GIS를 위한 벡터맵(vector map)의 간단한 제작방법과 GIS의 개발방법, 그리고 탐색적 자료분석을 위한 Visualization기법을 소개한다.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.9 no.1
• /
• pp.36-41
• /
• 2009

Self organizing map(SOM) is one of the unsupervised methods based on the competitive learning. Many clustering works have been performed using SOM. It has offered the data visualization according to its result. The visualized result has been used for decision process of descriptive data mining as exploratory data analysis. In this paper we propose improvement of SOM using stratified sampling of statistics. The stratification leads to improve the performance of SOM. To verify improvement of our study, we make comparative experiments using the data sets form UCI machine learning repository and simulation data.

• Communications for Statistical Applications and Methods
• /
• v.16 no.6
• /
• pp.959-969
• /
• 2009

Decision tree is a typical tool for data classification. This tool is implemented in DAVIS (Huh and Song, 2002). All the visualization tools and statistical clustering tools implemented in DAVIS can communicate with the decision tree. This paper presents methods to apply data visualization techniques to the decision tree using a real data set.

• Korean Journal of Computational Design and Engineering
• /
• v.11 no.6
• /
• pp.455-463
• /
• 2006

Hidden line removal(HLR) algorithms can be devised either in the image space or in the object space. This paper describes a hidden line removal algorithm in the object space specifically for the CAD viewer data. The approach is based on the Appel's 'Quantitative Invisibility' algorithm and fundamental concept of 'back face culling'. Input data considered in this algorithm can be distinguished from those considered for HLR algorithm in general. The original QI algorithm can be applied for the polyhedron models. During preprocessing step of our proposed algorithm, the self intersecting surfaces in the view direction are divided along the silhouette curves so that the QI algorithm can be applied. By this way the algorithm can be used for any triangulated freeform surfaces. A major advantage of this algorithm is the applicability to general CAD models and surface-based visualization data.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2018.06a
• /
• pp.45-46
• /
• 2018

This paper focuses on human activities monitoring problem using onboard smartphone sensors as data generator. Monitoring such activities can be very important to detect anomalies and prevent disease from patients. Machine learning (ML) algorithms appear to be ideal approaches to use for processing data from smartphone to get sense of how to classify human activities. ML algorithms depend on quality, the quantity and even more important, the properties or features, that can be learnt from data. This paper proposes a mobile virtual reality visualization system that helps to view data representation in a very immersive way so that its quality and discriminative characteristics may be evaluated and improved. The proposed system comes as well with a handy data collecting application that can be accessed directly by the VR visualization part.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.12
• /
• pp.2305-2311
• /
• 2017

In recent years, there have been tries to open public data from various government agencies along with publicization of public information for the public interest. In other words, various kinds of electronic data generated and collected by the public institutions as a result of their work are opened in the public portal sites. However, users who use it are limited in their use of big data due to lack of understanding of data format, lack of data processing knowledge, difficulty in accessing and managing data, and lack of visualization data to understand collected and stored data. Therefore, in this study, we propose a big data collection, storing and visualization platform that can collect big data provided by various public sites using data set URL and API regardless of data format, re-process collected data using XML structure.