• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.635-637
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• 1999

GRASS는 GIS 공개 소프트웨어로서, 이의 효과적인 활용은 비용 면이나 기술 개발 및 축적 면에서 국가적으로 중요하다. 생물, 지질, 환경 등의 과학 기술 분야에서는 방대한 자료를 3차원적으로 표현하고 분석해야만 하는 경우가 많이 있다. 본 논문은 GRASS의 3차원 기능을 이용하여 식물의 서식 분포를 시각적으로 표현하는 방법과 실제 구현 사례를 기술한다. 지역으로는 내장산을 선택하였으며, 환경부에서 제공하는 실제 내장산 DEM 자료를 사용하였다. 식물 분포 표시를 위해 GRASS가 제공하는 컬러-기반 3차원 디스플레이 기능을 사용하였다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.586-588
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• 1999

간소화된 메쉬의 다중해상 표현은 실시간으로 원하는 해상 메쉬의 랜더링이 가능하고 저해상 메쉬에서 고해상 메쉬로의 전환이 시각적인 연속성을 갖는다. 또 메쉬의 공간마다 다른 해상도의 표현이 가능하다. 본 논문에서는 기존의 다중해상모델의 특징과 단점을 알아보고 다중모델링 이슈을 제시한다. 효율적인 가변 LOD를 위한 기존의 다중해상 모델을 일반화시킨 MT(MultiTriangulation)를 제시한다. MT의 구조적 특징, MT에서의 선택적 상세화와 시점과의 거리에 따른 가변 LOD 질의를 알아본다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.853-855
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• 2001

본 논문에서는 웨이브릿 변환과 프랙탈 변환을 함께 적용하여 강인하고 효율적인 워터마킹 방법을 제안하였다. 종래의 방법과 같이 프랙탈 변환만을 이용할 경우 강인함에 비하여 속도가 느리다는 단점이 있다. 크기가 큰 원래 이미지를 프랙탈 변환하지 않고 상대적으로 크기가 적은 워터마크 이미지를 프랙탈 변환함으로서 변환에 걸리는 시간을 줄일 수 있다. 또한 웨이브릿 변환 영역에서 임계치에 의해 삽입에 이용할 계수를 선택적으로 사용함으로써 적절한 대역에 삽입하여 시각적인 왜곡을 최소화 할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.922-923
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• 2015

각 지역마다 많은 시설 및 상점이 존재하고 사용자들은 특정 지역에 자신이 원하고 필요한 곳을 찾기 위해서는 직접 검색을 통해 찾는 일이 필요하다. 본 논문에서는 안드로이드 기반 Google POI 애플리케이션을 구현하여 사용자가 원하는 특정 지역에 시설이나 상점을 검색하여 시각화하여 보여준다.

• Science of Emotion and Sensibility
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• v.9 no.spc3
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• pp.209-224
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• 2006

Hierarchy which is often named as the tree-structure is used to reduce complexity and show primitive structures of complicated information. This paper aims at explaining information-visualization methods using hierarchies in multimedia domains and prospecting the possible applications by examining how they affect the user's tasks involved in information-seeking activities. As a result, four types of information visualization methods named Treemap, Hyperbolic, Cone Tree and DOI Tree employed in multimedia domain, are presented and pros and cons of each method are explained in this paper. Another important part is defining the core tasks and other related-tasks in information-seeking activities, such as, overview, zoom, filter, details-on-demand, relate, history, and extract. Followings are major findings. Treemap uses 'overview' as the core task, which makes user to gain a overall meaning of the whole information cluster. Hyperbolic and DOI Tree apply 'Boom' task through the function of focus+context or by the function of meaningful scaling to magnify or downsize each node. Cone Tree, also, makes the information organizer to classify the patterns of information acquired in the process of users' information-seeking activities by using 'extract' task. Through this study, it is finally found out that the information-visualization methods using hierarchies in multimedia domains should incorporate the wide variety of functional needs related to users' information-seeking behaviors beyond the visual representation of information.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.9
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• pp.377-384
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• 2015

In this paper we propose a visualization tool for distortion-free time-series matching. Supporting distortion-free is a very important factor in time-series matching to get more accurate matching results. In this paper, we visualize the result of time-series matching, which removes various time-series distortions such as noise, offset translation, amplitude scaling, and linear trend by using moving average, normalization, linear detrending transformations, respectively. The proposed visualization tool works as a client-server model. The client sends a user-selected time-series, of which distortions are removed, to the server and visualizes the matching results. The server efficiently performs the distortion-free time-series matching on the multi-dimensional R*-tree index. By visualizing the matching result as five different charts, we can more easily and more intuitively understand the matching result.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.6
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• pp.477-482
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• 2020

The human visual cortex has the characteristic that reacts sensitively to stimuli with special directional or temporal frequency changes while it is insensitive to selective stimuli of spatial phases. In this paper we implemented the model of complex cell using an image estimation iterative algorithm by Gabor wavelet transform. The performance of implemented model evaluated the consistency between the physiological experimental results in related papers. The implemented model is limited in the complete model of the receptive field in the retina where simple cells and complex cells are distributed together. But the implemented model express the reaction of the complex cells from the point of view of the detection of corners and edges.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.225-231
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• 2009

This paper describes a new algorithm to compute and track the deformation of an isosurface component defined in a time-varying volumetric data. Isosurface visualization is one of the most common method for effective visualization of volumetric data. However, most isosurface visualization algorithms have been developed for static volumetric data. As imaging and simulation techniques are developed, large time-varying volumetric data are increasingly generated. Hence, development of time-varying isosurface visualization that utilizes dynamic properties of time-varying data becomes necessary. First, we define temporal correspondence between isosurface components of two consecutive timesteps. Based on the definition, we perform an algorithm that tracks the deformation of an isosurface component that can be selected using the Contour Tree. By repeating this process for entire timesteps, we can effectively visualize the time-varying data by displaying the dynamic deformation of the selected isosurface component.

• Smart Media Journal
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• v.10 no.2
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• pp.61-69
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• 2021

Wayfinding is a 'Process solving problem to find destination', and it is important to select spatial data for optimal way. Recently, due to the complexity of space and the expansion of the medium of the wayfinding service, it is necessary to the approach on the information design for them. Therefore, the purpose of this study is to propose a meta guideline on the information design for the design of orientation sign, which is an important cognitive clue in the wayfinding. It was conducted in 3 stages, First, a design process was proposed and design elements were derived for each step by literature research related to information and sign design, and analysis of manual for signage design. Second, a meta guideline for information organization and visualization in the three-stage design process was proposed by FGI and analysis. Third, the meta guideline was applied to the sign design on an area for user evaluation to inspect the applicability of the meta guideline. Through the user questionnaire, the possibility of applying the guideline for visualization of directions and spaces, information hierarchy according to spatial characteristics and information priority was identified. It is meaningful in that necessary element for signage design are systematized centering on the process and that it presents a macroscopic methodology according to spatial characteristics.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.11
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• pp.1249-1254
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• 2014

Big data based on numerous data made by the people are used in order to obtain useful information. We can obtain more useful information if it can apply machine learning techniques added deformation of human memory on the characteristics of the computer program. And big data is predicted by using these conclusions. Humans are used to remember similar data as an original data, so big data processing technology should reflect these human characteristics. In this study, this algorithm to provide the selectivity of information is proposed. This algorithm is the technology to reflect the above factors. This algorithm is selected the data with high selectivity to determine similar data based on the deformation characteristics of the data.