• International Journal of Computer Science & Network Security
• /
• 제21권12호
• /
• pp.344-348
• /
• 2021

The article examines one of the most important means of visualization of mass information on the Internet - information graphics in the broadest sense of the term as a visual technology for presenting mass information. The main objectives of the article are to determine the genre-typological features of infographics and basic technological principles; identification of features of creation and use of information graphics in modern network. Certain benefits of online infographic editors include savings in resources and time. They allow the user, who has basic PC skills, to create standardized infographics based on their own data. In addition, the use of online services develops visual thinking, allows you to get an idea of quality criteria and current trends in infographics, as well as to gain initial experience in the visual presentation of data.

• International Journal of Advanced Culture Technology
• /
• 제10권1호
• /
• pp.47-54
• /
• 2022

We analyze and compare the structure of the networks of Netflix, Disney+, and OCN, which are forerunners in OTT market, on Twitter. This study employs NodeXL pro as a visualization software package for social network analysis. As a result of the comparison with values of Vertices, Connected Components, Average Geodesic Distance, Average Betweenness Centrality, and Average Closeness Centrality. Netflix has comparative advantages at Vertices, Connected Components, and Average Closeness Centrality, OCN at Average Geodesic Distance, and Disney+ at Average Betweenness Centrality. Netflix has a more appropriate social network for influencer marketing than Disney+ and OCN. Based on the analysis results, the purpose of this study is to explain the structural differences in the social networks of Netflix, Disney+, and OCN in terms of influencer marketing.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
• /
• pp.835-841
• /
• 2005

실시간 가시화/시각화(Visualization)을 위한 지형 가시화 분야에서의 렌더링 속도 향상은 사용자의 현실감에 있어 중요한 역할을 한다. 본 연구는 Height Field 데이터를 사용한 블록 단위 지형 렌더링 방법에서 이전 프레임 정보를 사용하여 지형 가시화 속도를 향상시키는 방법을 제안한다. Height Field로 표현된 지형을 실시간에 효과적으로 렌더링 할 수 있는 방법으로CLOD(Continuous leveI Of Detail)가 있으며 대표적인 방법으로 Multiresolution TIN(Triangle Irregular Network)과 Regular Grid Method에 기반한 방법들이 있다. 대개의 경우, 지형 데이터는 매우 방대한 크기를 가지고 있어서 실시간으로 렌더링 하는 것이 불가능할 경우가 많다. 따라서 실시간 지형렌더링 에서는 LOD(Level of Detail)관리와 뷰 프러스텀 컬링이 실시간 렌더링 속도 향상을 위한 핵심 사항이 된다. 본 연구에서는 PC 기반에서 효과적으로 지형을 표현하기 위해 기존 Regular Grid Method에 기반한 방법의 가시영역 추출(View Frustum Culling)을 수정하여 실시간 지형 렌더링의 가시 영역 추출(View Frustum Culling)시 기존의 쿼드트리 방식과 함께 이전 프레임에서 블록 단위로 저장된 컬링 정보를 혼용하여 속도를 향상시키는 방법을 상세히 기술 한다.

• Journal of Multimedia Information System
• /
• 제3권4호
• /
• pp.161-168
• /
• 2016

In this paper, a power flow simulator, which visualizes power flow and system configuration, is proposed and implemented. Generally, it is necessary to prepare a text file with power-system descriptions, which is one of the barriers for power-flow simulations. The proposed simulator has a function of automatic generations of IEEE common data format files from user-drawn power-system diagrams. Therefore, it is possible for users to carry out simulations only by drawing power system on display. In addition, the proposed simulator also has a function that power-system diagram is illustrated automatically from an IEEE common data format file. By using this function, it is possible to visualize amounts and directions of power flows on the bus-system diagram, which helps users to comprehend network dynamics intuitively. Because the proposed simulator allows including renewable-resource generators in power systems, it is useful to evaluate the power distribution system. It is shown in this paper that the proposed simulator can make IEEE common data format files correctly and illustrate intuitive power flow.

• Journal of Advanced Marine Engineering and Technology
• /
• 제28권2호
• /
• pp.277-284
• /
• 2004

This paper describes the influence of through-flow on the mixed convection in a parallel plates with the upper part is cooled and the lower part heated. When forced convection is imposed on natural convection, it is found that the flow pattern of mixed convection in the parallel plates can be classified into three patterns which were affected by Reynolds number. In such a mixed convection, the flow pattern plays an important role in the heat transfer process. In this study, thermo-sensitive liquid crystal suspension method is employed, then the visualization image acquired through the above method is processed by the color image processing technique and the two-dimensional velocity vector and temperature configuration are measured simultaneously.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2013년도 춘계학술대회
• /
• pp.699-700
• /
• 2013

본 논문은 소셜 네트워크상의 내부관계와 외부관계를 반영하여 사용자간의 관계를 사용자 중심으로 계층적 시각화하는 새로운 클라우드 기반의 방법을 제안한다. 제안된 방법은 하둡(hadoop)과 하이프(hive)를 이용하여 분산저장 및 병렬로 계산하며, 계산 결과는 D3를 이용하여 계층적 그래프로 시각화한다.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
• /
• pp.317-320
• /
• 2007

This research focuses on a network based data distribution and visualization system of Multi-functional Tran-port SATellite (MTSAT). Institute of Industrial Science (IIS) and Institute of Earthquake Research Institute (ERI) both at University of Tokyo have been receiving, processing, archiving and distributing of MTSAT imagery with a direct receiving of High Rate Information Transmit (HRIT) since October 2006. A software package, mtsatgeo, is developed including radiometric correction, geometric correction and spatial subset, and they are available on a web-based data distribution and processing service accessed at http://webgms.iis.u-tokyo.ac.jp/.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권8호
• /
• pp.3216-3230
• /
• 2015

A hot-issued research topic in the workflow intelligence arena is the emerging topic of "workflow-supported organizational social networks." These specialized social networks have been proposed to primarily represent the process-driven work-sharing and work-collaborating relationships among the workflow-performers fulfilling a series of workflow-related operations in a workflow-supported organization. We can discover those organizational social networks, and visualize its analysis results as organizational knowledge. In this paper, we are particularly interested in how to visualize the degrees of closeness centralities among workflow-performers by proposing a graphical representation schema based on the Graph Markup Language, which is named to ccWSSN-GraphML. Additionally, we expatiate on the functional expansion of the closeness centralization formulas so as for the visualization framework to handle a group of workflow procedures (or a workflow package) with organizational workflow-performers.

• Neurospine
• /
• 제15권4호
• /
• pp.306-322
• /
• 2018

This review introduces the current technique of photoacoustic imaging as it is applied in imaging-guided surgery (IGS), which provides the surgeon with image visualization and analysis capabilities during surgery. Numerous imaging techniques have been developed to help surgeons perform complex operations more safely and quickly. Although surgeons typically use these kinds of images to visualize targets hidden by bone and other tissues, it is nonetheless more difficult to perform surgery with static reference images (e.g., computed tomography scans and magnetic resonance images) of internal structures. Photoacoustic imaging could enable real-time visualization of regions of interest during surgery. Several researchers have shown that photoacoustic imaging has potential for the noninvasive diagnosis of various types of tissues, including bone. Previous studies of the surgical application of photoacoustic imaging have focused on cancer surgery, but photoacoustic imaging has also recently attracted interest for spinal surgery, because it could be useful for avoiding pedicle breaches and for choosing an appropriate starting point before drilling or pedicle probe insertion. This review describes the current instruments and clinical applications of photoacoustic imaging. Its primary objective is to provide a comprehensive overview of photoacoustic IGS in spinal surgery.

• International journal of advanced smart convergence
• /
• 제10권3호
• /
• pp.163-171
• /
• 2021

Recently, Machine Learning-based visualization approaches have been proposed to combat the problem of malware detection. Unfortunately, these techniques are exposed to Adversarial examples. Adversarial examples are noises which can deceive the deep learning based malware detection network such that the malware becomes unrecognizable. To address the shortcomings of these approaches, we present Block-matching and 3D filtering (BM3D) algorithm and deep image prior based denoising technique to defend against adversarial examples on visualization-based malware detection systems. The BM3D based denoising method eliminates most of the adversarial noise. After that the deep image prior based denoising removes the remaining subtle noise. Experimental results on the MS BIG malware dataset and benign samples show that the proposed denoising based defense recovers the performance of the adversarial attacked CNN model for malware detection to some extent.