• Journal of information and communication convergence engineering
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• 제19권2호
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• pp.102-107
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• 2021

In this paper, we propose a new three-dimensional (3D) photon-counting integral imaging reconstruction method using a merging reconstruction process and maximum likelihood estimation (MLE). The conventional 3D photon-counting reconstruction method extracts photons from elemental images using a Poisson random process and estimates the scene using statistical methods such as MLE. However, it can reduce the photon levels because of an average overlapping calculation. Thus, it may not visualize 3D objects in severely low light environments. In addition, it may not generate high-quality reconstructed 3D images when the number of elemental images is insufficient. To solve these problems, we propose a new 3D photon-counting merging reconstruction method using MLE. It can visualize 3D objects without photon-level loss through a proposed overlapping calculation during the reconstruction process. We confirmed the image quality of our proposed method by performing optical experiments.

• Journal of information and communication convergence engineering
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• 제21권1호
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• pp.54-61
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• 2023

The family tree is one of the key elements of humanities classics research and is very important for accurately understanding people or families. In this paper, we introduce a method for automatically generating a family tree using information on interpersonal relationships (IIPR) from the Korean Classics Database (KCDB) and visualize interpersonal searches within a family tree using data-driven document JavaScript (d3.js). To date, researchers of humanities classics have wasted considerable time manually drawing family trees to understand people's influence relationships. An automatic family tree builder analyzes a database that visually expresses the desired family tree. Because a family tree contains a large amount of data, we analyze the performance and bottlenecks according to the amount of data for visualization and propose an optimal way to construct a family tree. To this end, we create an n-ary tree with fake data, visualize it, and analyze its performance using simulation results.

• 한국가시화정보학회지
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• 제21권3호
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• pp.65-74
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• 2023

Compared to epifluorescence(EPI) microscopy which captures fluorescence from the entire depth of sample, total internal reflection fluorescence(TIRF) can selectively visualize only a single surface of it. TIRF uses a thin evanescent field generated by the total internal reflection of laser light on surface. However, conventional TIRF system are designed for total internal reflection to occur at the upper surface of sample, making them unsuitable for sessile droplet imaging. We designed a TIRF system suitable for a sessile droplet imaging by utilizing slide glass as a lightguide. We presented the details for constructing the TIRF system using a prism, slide glass, air slit, and optical trap. Then, we compared the TIRF with EPI by imaging the droplet with fluorescent particles during its drying process. As a result, TIRF allows us to distinctly visualize the drying pattern on the bottom surface of droplet.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 12th Asian Congress of Fluid Mechanics
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• pp.56.1-56.1
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• 2008

• 산경연구논집
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• 제11권7호
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• pp.41-49
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• 2020

Purpose: The purpose of this study is to recognize the role and necessity of public data visualization through prior research, investigation, and data verification processes. In addition, this study intends to check what factors should be considered in order to visualize data on the mobile web. Through this process, by identifying the cognitive load affecting information visualization by type, as a result, I would like to propose an effective information visualization method to effectively deliver public data related to government policies. Research design, data and methodology: In this study, we analyzed the case of information visualization according to infographics, which has been widely used in the public field among various visualization methods. For this study, a questionnaire survey was conducted for young people in their 20s and 30s with the highest mobile usage rate. Results: Based on the results, IPA (Importance Performance Analysis) was performed to conduct cognitive load test tools for information visualization of public data and confirmed the implications for each type of infographics. Conclusions: As a result of research, in order to efficiently deliver public data on the mobile web, first, it is necessary to construct a visual screen that can be easily identified through clear data. Appropriate graphic elements can be used according to the type to make it easier for users to acquire and understand information. Second, it is necessary to provide useful content in visualizing information. Third, in order to efficiently transmit information and increase understanding of data, it is necessary to visualize information that can induce interest in data and form metaphors. Fourth, it is necessary to visualize information to reduce cognitive load in terms of physical and mental aspects in order to accommodate users' comfortable information. Fifth, in order to effectively deliver public data, it is necessary to compose contents and information that are easy for users to understand. This study examines effective information visualization methods to increase the communication effect of public data in response to changes in the data-based intelligent information society and suggests implications for each type considering cognitive loads to help future public institutions to communicate and accept information.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권10호
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• pp.421-426
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• 2019

본 논문에서는 단백질 복합체에서 단백질 사이의 접촉 영역이 갖는 기하학적 특징을 가시화하는 방법을 제안한다. 단백질 또는 리간드가 요철이 있는 곡면으로 표현될 때, 두 곡면이 서로 접하면서 교차하지 않는 성질을 형태 상보성이라 한다. 단백질-단백질 또는 단백질-리간드 도킹 연구에서 형태 상보성과 화학적인 성질, 엔트로피 등이 접촉 영역의 발견에 중요한 역할을 한다는 것을 볼 수 있다. 일반적으로 형태 상보성이 높은 영역을 발견한 뒤, 이 영역에 속한 아미노산들의 잔기 극성 및 소수성 등을 이용하여 접촉 영역을 예측한다. 접촉 영역을 예측하기 위한 연구에서는 기존에 알려진 복합체에서 접촉 영역이 갖는 기하학적인 특징을 조사하는 작업이 필요하며, 이를 위해 기하학적인 특징을 가시화하는 작업은 필수적이다. 본 논문에서는 단백질 복합체에서 접촉 영역을 발견하고, 두 개의 단백질 각각의 접촉 면에 속한 근거리의 정점들의 기하학적인 특징을 법선 벡터 및 평균 곡률로써 가시화하는 방법을 제안한다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.611-613
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• 2021

최근, 고전컴퓨터(Classic Computer)의 한계를 뛰어넘는 양자컴퓨터(Quantum Computer)에 대한 연구개발이 다양한 분야에서 활발하게 이루어지고 있다. 고전컴퓨터의 전기적인 신호처리와는 다르게 양자역학적인 원리를 사용한 양자컴퓨터는 양자 중첩(Quantum Superposition), 양자 얽힘(Quantum Entanglement)과 같은 다양한 양자역학의 현상/특성을 활용하여 연산을 수행하기 때문에 고전컴퓨터의 연산에 비해 아주 복잡한 연산과정을 거치게 된다. 또한, 큐비트의 종류, 배치, 연결성 등 실제 양자컴퓨터를 구동시키기 위해 구성되는 많은 요소들에 의한 각각의 영향이 양자컴퓨터의 연산 결과와 연산 과정에서 많은 영향을 끼치기 때문에 각각의 요소를 효율적이고 정확하게 활용하기 위해 실제 양자컴퓨터의 구동 이전에 데이터를 시각화하여 오류검증/최적화/신뢰성검증을 할 필요가 있다. 하지만 양자컴퓨터 내부에 구성된 다양한 요소들의 데이터를 전부 시각화 할 경우 직관적으로 원하는 데이터를 파악하는 것이 어렵기 때문에 선별적으로 데이터를 시각화 할 필요가 있다. 본 논문에서는 양자컴퓨터를 구성하는 다양한 요소들의 데이터를 시각화 하여 직관적으로 데이터를 관측하고 활용할 수 있도록 복잡하게 구성되는 양자컴퓨터 내부 회로 구성요소들을 계층적으로 시각화 하는 방법을 제안한다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2011년도 춘계학술대회
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• pp.23-24
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• 2011

• 한국CDE학회논문집
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• 제15권2호
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• pp.85-93
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• 2010

This paper proposes a CAE data translation and visualization technique that can verify time-varying continuous analysis simulation in a virtual reality (VR) environment. In previous research, the use of CAE analysis data has been problematic because of the lack of any interactive simulation controls for visualizing continuous simulation data. Moreover, the research on post-processing methods for real-time verification of CAE analysis data has not been sufficient. We therefore propose a scene graph based visualization method and a post-processing method for supporting interoperability of continuous CAE analysis data. These methods can continuously visualize static analysis data independently of any timeline; it can also continuously visualize dynamic analysis data that varies in relation to the timeline. The visualization system for continuous simulation data, which includes a CAE middleware that interfaces with various formats of CAE analysis data as well as functions for visualizing continuous simulation data and operational functions, enables users to verify simulation results with more realistic scenes. We also use the system to do a performance evaluation with regard to the visualization of continuous simulation data.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1216-1223
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• 2017

Because of the open data in public domains, it is easy to collect the public data. However, people find difficulty in visualizing the data in material that they actually want. Especially, A map is a difficult material to do the visualization work, without using the specific tools and learning. Therefore, in this paper, we proposed an interface tool for map data visualization that user can easily visualize various national statistics data on the map. We designed the interface by classifying the properties of the map systematically, focusing on the completion and convenience for making the map. After that, we developed a web-based application using D3.js. After user evaluation, we found that our application can visualize the map more quickly and completely than any other web interfaces for map data visualization. Users also found a higher satisfaction in operating convenience.