• Title/Summary/Keyword: Pre-visualization

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Development of a Pre/Post Processor for a General CFD Code (범용 3차원 유동해석용 전/후처리 장치의 개발)

  • Hur S. B.;Hur N.
    • Proceedings of the KSME Conference
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    • 2002.08a
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    • pp.67-70
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    • 2002
  • In the present study a pre/post-processor program has been developed to be used with a general CFD code. This program is capable of performing the basic functions of the pre/post-processing, which include mesh generation and post processing plots. Also through perspective projection, this program can be used to check the quality of generated mesh by moving around inside the mesh. The smoke visualization can be also performed with the present program to visualize the smoke behavior in the case of fire simulation. The examples of the program execution are given in paper.

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A Development and Application of Data Visualization EducationProgram for 3rd Grade Students in Elementary School (초등학교 3학년 학생들을 위한 데이터 시각화 교육 프로그램 개발 및 적용)

  • Jiseon Woo;Kapsu Kim
    • Journal of The Korean Association of Information Education
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    • v.26 no.6
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    • pp.481-490
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    • 2022
  • With the development of computing technology, the big data era has arrived, and we live with a lot of data around us. Elementary school students are no exception. Therefore, it is very important to learn to process data from elementary school. Since elementary school students have intuitive thinking, data visualization, which expresses data directly in pictures, is an important learning element. In this study, we study how effective elementary school students can visualize data in their daily lives to improve their information processing capabilities. Adata visualization program was developed by organizing and visualizing data using data visualization tools for the 8th class, which can be done by third graders in elementary school, and then experiencing the process of interaction. As a result of applying the developed program to 186 students in 7 classes, knowledge information processing competency factors were evaluated before and after class. As a result of the pre- and post-test, there was a significant difference in knowledge information processing capabilities. Therefore, the data visualization program developed in this study is effective.

Real-time Flow Animation Techniques Using Computational Fluid Dynamics (전산유체역학을 이용한 실시간 유체 애니메이션 기술)

  • Kang Moon Koo
    • Journal of the Korean Society of Visualization
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    • v.2 no.2
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    • pp.8-15
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    • 2004
  • With all the recent progresses in computer hardware and software technology, the animation of fluids in real-time is still among the most challenging issues of computer graphics. The fluid animation is carried out in two steps - the physical simulation of fluids immediately followed by the visual rendering. The physical simulation is usually accomplished by numerical methods utilizing the particle dynamics equations as well as the fluid mechanics based on the Navier-Stokes equations. Particle dynamics method is usually fast in calculation, but the resulting fluid motion is conditionally unrealistic. The methods using Navier-Stokes equation, on the contrary, yield lifelike fluid motion when properly conditioned, yet the complexity of calculation restrains this method from being used in real-time applications. This article presents a rapid fluid animation method by using the continuum-based fluid mechanics and the enhanced particle dynamics equations. For real-time rendering, pre-integrated volume rendering technique was employed. The proposed method can create realistic fluid effects that can interact with the viewer in action, to be used in computer games, performances, installation arts, virtual reality and many similar multimedia applications.

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Design and Implementation of a Pre-processing Method for Image-based Deep Learning of Malware (악성코드의 이미지 기반 딥러닝을 위한 전처리 방법 설계 및 개발)

  • Park, Jihyeon;Kim, Taeok;Shin, Yulim;Kim, Jiyeon;Choi, Eunjung
    • Journal of Korea Multimedia Society
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    • v.23 no.5
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    • pp.650-657
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    • 2020
  • The rapid growth of internet users and faster network speed are driving the new ICT services. ICT Technology has improved our way of thinking and style of life, but it has created security problems such as malware, ransomware, and so on. Therefore, we should research against the increase of malware and the emergence of malicious code. For this, it is necessary to accurately and quickly detect and classify malware family. In this paper, we analyzed and classified visualization technology, which is a preprocessing technology used for deep learning-based malware classification. The first method is to convert each byte into one pixel of the image to produce a grayscale image. The second method is to convert 2bytes of the binary to create a pair of coordinates. The third method is the method using LSH. We proposed improving the technique of using the entire existing malicious code file for visualization, extracting only the areas where important information is expected to exist and then visualizing it. As a result of experimenting in the method we proposed, it shows that selecting and visualizing important information and then classifying it, rather than containing all the information in malicious code, can produce better learning results.

Multi GPU Based Image Registration for Cerebrovascular Extraction and Interactive Visualization (뇌혈관 추출과 대화형 가시화를 위한 다중 GPU기반 영상정합)

  • Park, Seong-Jin;Shin, Yeong-Gil
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.6
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    • pp.445-449
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    • 2009
  • In this paper, we propose a computationally efficient multi GPU accelerated image registration technique to correct the motion difference between the pre-contrast CT image and post-contrast CTA image. Our method consists of two steps: multi GPU based image registration and a cerebrovascular visualization. At first, it computes a similarity measure considering the parallelism between both GPUs as well as the parallelism inside GPU for performing the voxel-based registration. Then, it subtracts a CT image transformed by optimal transformation matrix from CTA image, and visualizes the subtracted volume using GPU based volume rendering technique. In this paper, we compare our proposed method with existing methods using 5 pairs of pre-contrast brain CT image and post-contrast brain CTA image in order to prove the superiority of our method in regard to visual quality and computational time. Experimental results show that our method well visualizes a brain vessel, so it well diagnose a vessel disease. Our multi GPU based approach is 11.6 times faster than CPU based approach and 1.4 times faster than single GPU based approach for total processing.

Research on Computer-aided and Robotic-assisted Surgery of Fracture Reduction and Bone Deformity Correction under External fixation (외고정법을 이용한 컴퓨터이용 및 로봇지원 골절수술 및 골변형교 정술에 대한 연구)

  • Kim Y.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.131-134
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    • 2005
  • This paper presents a computer-aided simulation and robotic-assisted execution technology of external fixation method to achieve fracture reduction and deformity correction in long bones. Combining the kinematic analysis with a graphic model of the tibia and the fixator allowed 3D simulation and visualization of the adjustments required to reduce fracture or correct bone deformity as a pre-operative planning tool. The developed robot model provided accurate deformity correction with small residual deformity based on the results of the planning. By incorporating the robot model with image-guided system and computer-aided planning, the integrated system could be useful for computer-aided pre-operative planning and robotic-assisted execution in fracture treatment and bone deformity surgery.

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Effective Risk Level Assessment Using Three-Dimensional Vector Visualization (3차원 벡터 시각화를 활용한 효과적인 위험 수준 평가)

  • Lee, Ju-young;Cho, In-hyun;Lee, Jae-hee;Lee, Kyung-ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1595-1606
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    • 2015
  • Risk analysis is utilized in devising measures to manage information security risk to an acceptable level. In this risk management decision-making, the visualization of risk is important. However, the pre-existing risk visualization method is limited in visualizing risk factors three-dimensionally. In this paper, we propose an improved risk visualization method which can facilitate the identification of risk from the perspective of confidentiality, integrity, and availability respectively or synthetically. The proposed method is applied to an enterprise's risk analysis in order to verify how effective it is. We argue that through the proposed method risk levels can be expressed three-dimensionally, which can be used effectively for information security decision-making process for internal controls.

Effect of data visualization education with using Python on computational thinking of six grade in elementary school (파이썬을 활용한 데이터 시각화 교육이 초등학교 6학년 학생의 컴퓨팅 사고력에 미치는 효과)

  • Kim, Jungah;Kim, Mingyu;Yu, Hyejin;Kim, Yongmin;Kim, Jonghoon
    • Journal of The Korean Association of Information Education
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    • v.23 no.3
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    • pp.197-206
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    • 2019
  • In this study, we analyzed the effects of data visualization education with using Python on the improvement of computing thinking ability of the 6th grade students of elementary school. Based on the results of the needs analysis of 60 elementary school teachers and 120 elementary school students, we developed the data visualization education program. In the developed educational program, 24 elementary school students were trained for 6 days and 36 hours in total. Thereafter, students were subjected to pre- and post-comparison tests. As a result of the analysis, it was found that the data visualization education with using Python is effective in improving the Computational cognition, Fluency, Originality, Elaboration of the 6th grade students in elementary school.

The Effect of Education Data Visualization using Unplugged Program on the Computational Thinking of Third Grade Students (언플러그드 방식을 활용한 데이터 시각화 교육이 초등학교 3학년 학생의 컴퓨팅 사고력에 미치는 효과)

  • Kim, Jungah;Kim, Bomsol;Kim, Taehun;Kim, Yongmin;Kim, Jonghoon
    • Journal of The Korean Association of Information Education
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    • v.23 no.4
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    • pp.283-292
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    • 2019
  • In this study, an unplugged education method which focuses on the data visualization training was applied to third grade students of an elementary school and analyzed its impact on enhancing their computational thinking. The analysis was conducted on 60 elementary school teachers and 124 third grade students and the unplugged education program based on the data visualization procedure was developed. The education program developed was carried out with 24 third grade students for 36 hours over six days. The effect of the program applied was analyzed through the pre-to-post comparison performed with perceptive strength test and creativity test in order to examine the enhancement in computational thinking. According to the analysis result, the unplugged education method which focuses on the data visualization training has significant effect on the 'computational perception' and 'creativity' of third grade students.

Pre-visualization of Interaction on Game Character's Quest Play : Towards of Narrative Structure (내러티브 구조 관점에서 본 게임 캐릭터의 퀘스트 플레이에 대한 인터랙션 사전 시각화)

  • Kim, Mi-Jin;Woo, Kim-Sang
    • Journal of Korea Game Society
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    • v.11 no.2
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    • pp.3-11
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    • 2011
  • A game designer is the initial design of the quest based on narrative. It is important that to predict game character of play experience to establish these static content. This paper deal with player's affective interaction distinguishing among game characters are perform quest-play based on their characteristic status. To achieve this, First of all, previous studies regarding pre-visualization of narrative structure for other visual media are reviewed. Secondly, it is specified that quest-play experience and player's cognitive behavior. At last, these features of status by character were pre-visualized with QUG(Quest Unit Graph), which could be represented differences in precess of quest-play through analysis on world of warcarft game. Previous research is about of numerical balance in terms of character's achievement, whereas this study is meaningful that is proposed that visual model of quest-play interaction focused on narrative structure to predict game designer's architecture of quest experience.