• Journal of Multimedia Information System
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• 제2권2호
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• pp.207-214
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• 2015

In this paper, we proposed new software for 3D rendering of MR images in the medical domain using C# wrapper of Visualization Toolkit (VTK) and Microsoft .NET framework. Our objective in developing this software was to provide medical image segmentation, 3D rendering and visualization of hippocampus for diagnosis of Alzheimer disease patients using DICOM Images. Such three dimensional visualization can play an important role in the diagnosis of Alzheimer disease. Segmented images can be used to reconstruct the 3D volume of the hippocampus, and it can be used for the feature extraction, measure the surface area and volume of hippocampus to assist the diagnosis process. This software has been designed with interactive user interfaces and graphic kernels based on Microsoft.NET framework to get benefited from C# programming techniques, in particular to design pattern and rapid application development nature, a preliminary interactive window is functioning by invoking C#, and the kernel of VTK is simultaneously embedded in to the window, where the graphics resources are then allocated. Representation of visualization is through an interactive window so that the data could be rendered according to user's preference.

• 한국가시화정보학회:학술대회논문집
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• 한국가시화정보학회 2003년도 추계학술대회 논문집
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• pp.67-70
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• 2003

Hard disk drives (HDD) in computer are used extensively as data storage capacity. The trend in the computer industry to produce smaller disk drives rotating at higher speeds requires an improved understanding of fluid motion in the space between disks. Laser sheet and digital camera was used for 2-dimensional visualization of the unsteady flow between the center pair of two co-rotating disks in air with a cylindrical enclosure (or shroud). Geometric parameters are gap height (H) between disks, and gap distance (G) between disk tip and shroud. The lobe-structured boundary between inner region and outer region was detected by inserted particles, and the number of dominant vortices was determined clearly It is found from flow visualization that the number of vortex cells can be correlated with Reynolds number based on H which is defined as $Re_H={\Omega}RH/v$ ranging from $3.18\times10^3\;to\;1.43\times10^4$, and decreases as the disk speed increases. The lobe pattern by vortex cells is changed to a circular pattern for the wide gap than narrow one.

• Journal of Information Technology Applications and Management
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• 제20권2호
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• pp.1-14
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• 2013

Learning accounting has always been a challenge for non-accounting students and managers. Understanding accounting information requires more than a numerical description of financial and income statements. Current accounting practice presents accounting reports in the form of tables with values or in two or three dimensional graphs generated by a spread sheet program. The present study proposes an alternative visualization with metaphor from nature as a learning device for novice users and managers. After surveying various kinds of plants, the lotus flower was chosen as an attractive analogy because every part of the plant from leaves to roots is usable and can have economic value. Moreover, lotus flowers, whether man-made or natural, can easily be part of a familiar, natural ecology representing both beauty and serenity. Results from online survey respondents (n = 220) showed that there was no significant difference on overall usability of the Lotus visualization between expert users and novice users. However, verbally-oriented users differed Significantly from visually-oriented users in their usability assessment, perceived usefulness, and intention to use the Lotus visualization.

• 한국CDE학회논문집
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• 제22권2호
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• pp.202-214
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• 2017

The augmented visualization of analysis results can play an import role as a post-processing tool for the modeling & simulation (M&S) technology. In particular, it is essential to develop such an M&S tool which can run on various multi-devices. This paper presents an augmented reality (AR) approach to visualizing and interacting with M&S post-processing results through mobile devices. The proposed approach imports M&S data, extracts analysis information, and converts the extracted information into the one used for AR-based visualization. Finally, the result can be displayed on the mobile device through an AR marker tracking and a shader-based realistic rendering. In particular, the proposed method can superimpose AR-based realistic scenes onto physical objects such as 3D printing-based physical prototypes in a seamless manner, which can provide more immersive visualization and natural interaction of M&S results than conventional VR or AR-based approaches. A user study has been performed to analyze the qualitative usability. Implementation results will also be given to show the advantage and effectiveness of the proposed approach.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2010년도 제34회 춘계학술대회논문집
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• pp.206-209
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• 2010

하이브리드 로켓에서의 고체 연료의 연소 현상을 가시화하기 위하여 장치를 제작하였다. 가시화 장치는 평판 하이브리드 연소기 시스템, 점화 시스템, 산화제 공급 시스템, 데이터 획득 및 제어 시스템, 연소 가시화 측정 장비로 구성되었다. GOX 산화제와 HDPE, Paraffin-LDPE Blending, Paraffin 연료를 이용하여 연소 가시화 시험을 수행하였고, 수치적으로만 연구되어 왔던 연소실 내의 연소 현상을 가시화 할 수 있었으며, 화염의 형성 및 용융성 연료의 액적 비산 현상을 관찰 할 수 있었다.

• Current Optics and Photonics
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• 제2권5호
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• pp.453-459
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• 2018

We have developed a high-performance signal-processing and image-rendering heterogeneous computation system for optical coherence tomography (OCT) on mobile processor. In this paper, we reveal it by demonstrating real-time OCT image processing using a Snapdragon 800 mobile processor, with the introduction of a heterogeneous image visualization architecture (HIVA) to accelerate the signal-processing and image-visualization procedures. HIVA has been designed to maximize the computational performances of a mobile processor by using a native language compiler, which targets mobile processor, to directly access mobile-processor computing resources and the open computing language (OpenCL) for heterogeneous computation. The developed mobile image processing platform requires only 25 ms to produce an OCT image from $512{\times}1024$ OCT data. This is 617 times faster than the naïve approach without HIVA, which requires more than 15 s. The developed platform can produce 40 OCT images per second, to facilitate real-time mobile OCT image visualization. We believe this study would facilitate the development of portable diagnostic image visualization with medical imaging modality, which requires computationally expensive procedures, using a mobile processor.

• 한국컴퓨터그래픽스학회논문지
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• 제24권1호
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• pp.9-16
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• 2018

본 논문에서는 광 회절 단층 촬영 (Optical Diffraction Tomography, ODT) 기법을 사용해 얻어진 세포 영상을 3차원 가상 공간에 시각적으로 표현하고 기존의 세포 영상들과의 일치감을 주는 색상 매핑 기술을 포함한 가시화 프레임 워크를 소개한다. 전체 볼륨을 구성하는 내부 구조에 대한 정보가 잘 알려져 있거나 명확하게 구분 가능한 인체의 장기 또는 산업 기기와 같은 기존의 볼륨 데이터와는 달리 세포 영상 데이터는 세포소기관들 간의 경계가 모호하거나 상황에 따라 형상의 변화가 다양하다는 특징을 가지고 있어, 세포의 형상에 대한 일관적인 시각 표현이 상대적으로 어렵다는 문제가 있다. 본 논문에서는 이를 해소하기 위해 세포의 3차원 형상을 실시간으로 렌더링 할 수 있는 가시화 기법을 제안한다. 제안하는 기법에서는 우선 세포의 3차원 형상을 나타내기 위해 볼륨 데이터의 가시화에서 널리 활용되고 있는 볼륨 렌더링 기법을 ODT 영상에 맞게 적용했으며, 빈 공간 교란 기법을 통한 렌더링 결과의 개선으로 세포내 구조의 연속성을 나타낼 수 있게 했다. 또한 다중 전이 함수에 대해 레이어 기반 독립 렌더링을 적용하는 것을 통해 다수의 세포내 구조를 하나의 화면에 표현하는 복합 가시화 기법을 제안했다. ODT 영상 및 염색 영상을 동시에 촬영 가능한 현미경으로부터 얻어진 세포 영상을 가시화 하는 것을 통해 제시된 가시화 기법의 유용성을 확인했다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.593-596
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• 2018

The speed of vehicles has remained a significant factor that influences the severity of accidents and traffic accident rate in many parts of the world including South Korea. This behavior where drivers drive at speeds which exceed a posted safe threshold is known as 'speeding'. Over the past twenty years, the Korean National Police Agency (NPA) has become aware of an increased frequency of drivers who are speeding. Therefore, fixed-type ASE systems [1] have been installed on hazardous road sections of many highways. These system monitor vehicle speeds using a camera. However, the use of ASE systems has changed the behavior of the drivers. Specifically, drivers reduce speed or avoid the route where the cameras are mounted. It is not practical to install cameras at every possible location. Therefore, it is challenging to thoroughly explore the location where speeding occurs. In view of these problems, the author of this paper designed and implemented a prototype visualization system in which point and color are used to show vehicle location and associated over-speed information. All of this information was used to create a comprehensive visualization application to show information about vehicle driving. In this paper, we present an approach detecting vehicles moving at speeds which exceed a threshold and visualizing the points those violations occur on a map. This was done using vehicle trajectory data collected in Daegu city. We propose steps for exploring the data collected from those sensors. The resulting mapping has two layers. The first layer contains the dynamic vehicle trajectory data. The second underlying layer contains the static road networks. This allows comparing the speed of vehicles on roads with the known maximum safe speed of those roads, and presents the results with a visualization tool. We also compared data about people who drive over threshold safe speeds on each road on days and weekends based on vehicle trajectories. Finally, our study suggests improved times and locations where law enforcement should use monitoring with speed cameras, and where they should be stricter with traffic law enforcement. We learned that people will drive over the speed limit at midnight more than 1.9 times as often when compared with rush hour traffic at 8 o'clock in the morning, and 4.5 times as often when compared with traffic at 7 o'clock in the evening. Our study can benefit the government by helping them select better locations for installation of speed cameras. This would ultimately reduce police labor in traffic speed enforcement, and also has the potential to improve traffic safety in Daegu city.

• 한국컴퓨터정보학회논문지
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• 제21권5호
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• pp.19-29
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• 2016

This paper suggests a method to refine a massive collective intelligence data, and visualize with multilevel sentiment network, in order to understand information in an intuitive and semantic way. For this study, we first calculated a frequency of sentiment words from each movie review. Second, we designed a Heatmap visualization to effectively discover the main emotions on each online movie review. Third, we formed a Sentiment-Movie Network combining the MDS Map and Social Network in order to fix the movie network topology, while creating a network graph to enable the clustering of similar nodes. Finally, we evaluated our progress to verify if it is actually helpful to improve user cognition for multilevel analysis experience compared to the existing network system, thus concluded that our method provides improved user experience in terms of cognition, being appropriate as an alternative method for semantic understanding.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2007년도 추계학술대회 및 제23회 정기총회
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• pp.129-130
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• 2007

해양 분야에서는 현재 해양 생태계 모델이나 수질모델 그리고 해수 유동모델과 같은 다양한 모델들이 사용되어 지고 있으며 이러한 해양 모델들의 결과 값은 사용자가 한눈에 알아보기 어려운 수치 데이터의 나열로서 출력되어 지고 있다. 본 논문에서는 현재의 분석하기 어려운 모델링결과 데이터를 보다 효과적으로 분석하기 위해 GIS 의 기법을 적용하여 이 데이터를 보다 직관적이고 가시적인 형태로 변환하고 표현하는 기술을 개발, 적용하였다.