• 제목/요약/키워드: Computational visualization

검색결과 333건 처리시간 0.029초

환형 관출구로부터 방출되는 약한 충격파에 관한 연구 (Study of the Weak Shock Wave Discharged from an Annular Tube)

  • 권용훈;이동훈;김희동
    • 한국가시화정보학회:학술대회논문집
    • /
    • 한국가시화정보학회 2002년도 추계학술대회 논문집
    • /
    • pp.113-116
    • /
    • 2002
  • The shock wave discharged from an annular duct leads to very complicated flow features, such as Mach stem, spherical waves, and vortex rings. In the current study, the merging phenomenon and propagation characteristics of the shock wave are numerically investigated using a CFD method. The Harten-Yee's total variation diminishing (TVD) scheme is used to the unsteady, axisymmetric, two-dimensional, compressible Euler equations. The Mach number of incident shock wave $M_s$ is varied in the range below 2.0. The computational results are visualized to observe the major features of the annular shock waves discharged from the tube. On the symmetric axis, the peak pressure produced by the shock wave and its location depend upon strongly the radius of the annular tubes. A Mach stem is generated along the symmetric axis of the annular tubes.

  • PDF

CNN 모델의 최적 양자화를 위한 웹 서비스 플랫폼 (Web Service Platform for Optimal Quantization of CNN Models)

  • 노재원;임채민;조상영
    • 반도체디스플레이기술학회지
    • /
    • 제20권4호
    • /
    • pp.151-156
    • /
    • 2021
  • Low-end IoT devices do not have enough computation and memory resources for DNN learning and inference. Integer quantization of real-type neural network models can reduce model size, hardware computational burden, and power consumption. This paper describes the design and implementation of a web-based quantization platform for CNN deep learning accelerator chips. In the web service platform, we implemented visualization of the model through a convenient UI, analysis of each step of inference, and detailed editing of the model. Additionally, a data augmentation function and a management function of files that store models and inference intermediate results are provided. The implemented functions were verified using three YOLO models.

Sentiment Analysis Main Tasks and Applications: A Survey

  • Tedmori, Sara;Awajan, Arafat
    • Journal of Information Processing Systems
    • /
    • 제15권3호
    • /
    • pp.500-519
    • /
    • 2019
  • The blooming of social media has simulated interest in sentiment analysis. Sentiment analysis aims to determine from a specific piece of content the overall attitude of its author in relation to a specific item, product, brand, or service. In sentiment analysis, the focus is on the subjective sentences. Hence, in order to discover and extract the subjective information from a given text, researchers have applied various methods in computational linguistics, natural language processing, and text analysis. The aim of this paper is to provide an in-depth up-to-date study of the sentiment analysis algorithms in order to familiarize with other works done in the subject. The paper focuses on the main tasks and applications of sentiment analysis. State-of-the-art algorithms, methodologies and techniques have been categorized and summarized to facilitate future research in this field.

Jungian Character Network in Growing Other Character Archetypes in Films

  • Han, Youngsue
    • International Journal of Contents
    • /
    • 제15권2호
    • /
    • pp.13-19
    • /
    • 2019
  • This research demonstrates a clear visual outline of character influence-relations in creating Jungian character archetypes in films using R computational technology. It contributes to the integration of Jungian analytical psychology into film studies by revealing character network relations in film. This paper handles character archetypes and their influence on developing other character archetypes in films in regards to network analysis drawn from Lynn Schmidt's analysis of 45 master characters in films. Additionally, this paper conducts a character network analysis visualization experiment using R open-source software to create an easily reproducible tutorial for scholars in humanities. This research is a pioneering work that could trigger the academic communities in humanities to actively adopt data science in their research and education.

창호의 개폐조절을 기반으로 한 리스펀시브 뉴메틱 파사드 (Responsive Pneumatic Facade with Adaptive Openings for Natural Ventilation)

  • 이지선;이현수
    • 대한건축학회논문집:계획계
    • /
    • 제33권12호
    • /
    • pp.29-39
    • /
    • 2017
  • The building skins are important architectural elements in both functional and aesthetical aspects. This study focuses on developing a responsive facade with autonomous opening and closing behaviors in accordance with environmental conditions and user requirements for natural ventilation for the office building. The pneumatic ETFE panels are applied as the skin materials taking advantage of the efficiency of the inflatable skin of lightness, architectural performance and sustainable material properties. The biomimetic design methodology is taken for its innovative and visionary concept for the facade design. The interpretation of the building facade in analogy to natural organisms delivers functional and aesthetic characters. By exploring the structural movements of the plant pores, the facade control is developed to be autonomous by the parameter values. The facade opening and closing configurations are derived through parametric modeling and visualization programming. Through the application of this study, expected results are to improve user comfort and energy efficiency.

계산 공간 기반 계층 트리를 이용한 구조화된 격자 상에서의 빠른 스트림라인 가시화 (Fast Streamline Visualization on Structured Grids using Computational Space Based Hierarchical Tree)

  • 이중연;구기범;허영주;금복희
    • 한국정보처리학회:학술대회논문집
    • /
    • 한국정보처리학회 2008년도 추계학술발표대회
    • /
    • pp.207-210
    • /
    • 2008
  • (비)구조화된 격자 상에 정의된 벡터 데이터는 다양한 과학 및 공학 분야에서 매우 중요하게 다루어진다. 이러한 데이터는 데카르트 격자 상의 데이터에 비해 많은 처리시간을 필요로 하는데, 이러한 문제는 계층 트리를 이용해서 빠르게 처리하는 것이 가능하다. 본 논문에서는 구조화된 격자 데이터에 대해 계산 공간을 기반으로한 계층 트리를 생성하고 이 트리를 이용해서 빠르게 데이터 샘플링을 처리하고자 했다. 이러한 방법을 이용해서 스트림라인 생성 시간을 평균 1800배 빨라지게 하는 것이 가능했다.

CUDA 및 분할-정복 기반의 효율적인 다차원 척도법 (An Efficient Multidimensional Scaling Method based on CUDA and Divide-and-Conquer)

  • 박성인;황규백
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
    • /
    • 제16권4호
    • /
    • pp.427-431
    • /
    • 2010
  • 다차원 척도법(multidimensional scaling)은 고차원의 데이터를 낮은 차원의 공간에 매핑(mapping)하여 데이터 간의 유사성을 표현하는 방법이다. 이는 주로 자질 선정 및 데이터를 시각화하는 데 이용된다. 그러한 다차원 척도법 중, 전통 다차원 척도법(classical multidimensional scaling)은 긴 수행 시간과 큰 공간을 필요로 하기 때문에 객체의 수가 많은 경우에 대해 적용하기 어렵다. 이는 유클리드 거리(Euclidean distance)에 기반한 $n{\times}n$ 상이도 행렬(dissimilarity matrix)에 대해 고유쌍 문제(eigenpair problem)를 풀어야 하기 때문이다(단, n은 객체의 개수). 따라서, n이 커질수록 수행 시간이 길어지며, 메모리 사용량 증가로 인해 적용할 수 있는 데이터 크기에 한계가 있다. 본 논문에서는 이러한 문제를 완화하기 위해 GPGPU 기술 중 하나인 CUDA와 분할-정복(divide-and-conquer)기법을 활용한 효율적인 다차원 척도법을 제안하며, 다양한 실험을 통해 제안하는 기법이 객체의 개수가 많은 경우에 매우 효율적일 수 있음을 보인다.

DBD 플라즈마 구동기를 이용한 원통모델의 공기저항저감 (Aerodynamic Drag Reduction in Cylindrical Model Using DBD Plasma Actuator)

  • 이창욱;심주형;한성현;윤수환;김태규
    • 한국추진공학회지
    • /
    • 제19권1호
    • /
    • pp.25-32
    • /
    • 2015
  • 원통 모델에 공기저항저감 효과를 검증하기 위해서 원통형에 적합한 유연성 플라즈마 구동기를 제작하였다. 다양한 풍속에서 플라즈마 유동제어 풍동시험을 수행하였으며, CFD 해석과 유동가시화를 수행하였다. 풍속이 느린 저속 구간에서는 유동박리가 발생하지 않아 플라즈마 유동제어 효과가 없었다. 풍속 14 m/s 에서 14% 정도 항력이 저감되었으며, 풍속이 증가된 17 m/s 의 경우 항력이 27% 저감되었다. CFD 해석과 유동가시화의 비교를 통해 DBD플라즈마 구동기는 원통 주변의 압력차를 감소시켜 와류의 크기가 줄어든 것으로 확인되었다.

이상 유동 수치해석을 이용한 기포 구동 생물 반응기 내부 최적 구조에 관한 연구 (Study on optimum structure of air-lift bio-reactor using numerical analysis of two-phase flow)

  • 김산;정지홍;이재원;손동기;고한서
    • 한국가시화정보학회지
    • /
    • 제17권3호
    • /
    • pp.24-31
    • /
    • 2019
  • Recently, an air-lift bio-reactor operated by micro bubbles has been utilized to product hydrogen fuel. To enhance the performance, characteristics of hydrodynamics inside the bio-reactor were analyzed using a numerical simulation for two-phase flow. An Eulerian model was employed for both of liquid and gas phases. The standard k-ε model was used for turbulence induced by micro bubbles. A Population Balance Model was employed to consider size distribution of bubbles. A hollow cylinder was introduced at the center of the reactor to reduce a dead area which disturbs circulation of CO bubbles. An appropriate diameter of the draft tube and hollow cylinder were optimized for better performance of the bio-reactor. The optimum model could be obtained when the cross-sectional area ratio of the hollow cylinder to the reactor, and the width ratio of the riser to the downcomer approached 0.4 and 3.5, respectively. Consequently, it is expected that the optimum model could enhance the performance of the bio-reactor with the homogeneous distribution and higher density of CO, and more effective mixing.

풍력 발전 터빈 후류의 동적 분석 (Dynamic analysis of wind turbine wake)

  • 엄용한;김윤구;박성군
    • 한국가시화정보학회지
    • /
    • 제18권2호
    • /
    • pp.59-65
    • /
    • 2020
  • Vertical axis wind energy systems including 3 and 4 blades are numerically investigated in a two-dimensional (2D) computational domain. The power coefficient (Cp) is adopted to measure the efficiency of the system and the effect of the rotating velocity on the power coefficient is analyzed for the two different systems. The rotating velocity varies from 30 rad/s to 90 rad/s, which corresponds to the tip speed ratio (T.S.R) of 0.5 to 1.5. The torque exerted on the blades is mainly determined by the aerodynamic force in the x-direction and maximized when the blade is positioned at around θ = 186°. The efficiency of the 4-blade system is higher than that of the 3-blade system within the tip speed ratio range between 0.5 and 0.67, besides where the 3-blade system shows a better performance. For the 3-blade system, the maximum efficiency is reached to 0.082 at the tip speed ratio of 1.083. The maximum efficiency of the 4-blade system is 0.071 at T.S.R. = 0.92. The velocity fields in the x-direction, pressure fields, and the vorticity magnitude are analyzed in detail for the optimal cases of the 3- and 4-blades systems, respectively.