• 제목/요약/키워드: Visualization Method

검색결과 1,677건 처리시간 0.026초

인광입자(Sr,Mg)2SiO4:Eu2+를 이용한 액체의 온도장 측정에 관한 연구 (Study on Temperature Field Measurement of Fluid using Phophor Particle (Sr,Mg)2SiO4:Eu2+)

  • 송동진;이현창
    • 한국가시화정보학회지
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    • 제17권3호
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    • pp.59-65
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    • 2019
  • Phosphor particles ((Sr,Mg)2 SiO4:Eu2+ were suspended in deionized water in quartz cuvette and used for measuring liquid temperature field by using two-color-ratio method. In the temperature range of 23~77℃, it showed the relative error from 2.4% to 4% and the temperature sensitivity of 0.65 %/℃ at 30℃ and 0.95 %/℃ at 77 ℃. This performance is comparable to measurement techniques using thermographic liquid crystal or laser induced fluorescence or other thermographic phosphor particle. Among investigated potential error sources, the particle number density affected the intensity ratio and the temperature, but the effect of laser fluence was not evident.

SPH 기법을 이용한 주조공정 용탕 주입 유동 해석 (Molten Metal Flow Analysis of Casting Process Using SPH Method)

  • 박병래;이상욱
    • 한국가시화정보학회지
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    • 제16권1호
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    • pp.54-60
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    • 2018
  • It is important to develop more efficient and productive casting processes for an automated high precision molten-metal casting system. Detailed analysis of molten-metal flow in the casting process by the numerical approach will help to optimize the control of a ladle. In this study, the smoothed particle hydrodynamics method was applied to analyze casting flow characteristics with different tilting angular speed and initial molten-metal level. The smoothed particle hydrodynamics technique has advantages to easily handle non-linear free surface behavior with the absence of a computational mesh. We found that tilting angular speed has relatively greater effect on the casting flowrate and that the effect of the initial molten-metal level is only minor. Further extensive study will be necessary to find an optimal condition for high efficient casting system.

음향미세유체역학적 미세액적 생성 및 부피 제어 (On-demand Acoustofluidic Droplet Generation with Tunable Droplet Volume)

  • 김우혁;박진수
    • 한국가시화정보학회지
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    • 제18권2호
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    • pp.46-50
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    • 2020
  • On-demand droplet generation with tunable droplet volume is fundamental in many droplet microfluidic applications. In this work, we propose an acoustofluidic method to produce water-in-oil droplets with prescribed volume in an on-demand manner. Surface acoustic waves produced from a slanted interdigital transducer are coupled with parallel laminar streams of dispersed and continuous phase fluids. Acoustic radiation force acting on the fluid interface enable generation of droplets in a microfluidic chip. We expect that the proposed acoustofluidic droplet generation method will serve as a promising tool for on-demand droplet generation with on-chip droplet volume control.

광고아이디어 발상을 위한 스프링법에 관한 연구 (A study on the Springmethod for conceiving a good advertising idea)

  • 박용원
    • 디자인학연구
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    • 제15권1호
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    • pp.153-161
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    • 2002
  • There exist various conventional ideas, but few ideas may be used for actual production of advertisements. Moreover, because we tend to obtain ideas primarily from the pictures, we rely more and more on data collections, and eventually, we tend to copy them. If there is an idea which designers and copy writers can share, it will be a very effective idea. On the other hard, we need to depart from the individualistic mannerism or the reset-oriented approach depending on incidental manual works and instead, develop a lecture program which helps students e strike systematic ideas centering around processes. In order tn solve such problems, the researcher attempts to suggest "Spring Method" which has heed verified through the advertisement design practice courses at college for 7 semesters. This method focuses on ′visualization of concept′ through such stages as compression, inference and expansion, and therefore, emphasizes an organic linkage between language-oriented idea process and visualization process for advertisement ideas.

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3D Visualization of Partially Occluded Objects Using Axially Distributed Image Sensing With a Wide-Angle Lens

  • Kim, Nam-Woo;Hong, Seok-Min;Lee, Hoon Jae;Lee, Byung-Gook;Lee, Joon-Jae
    • Journal of the Optical Society of Korea
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    • 제18권5호
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    • pp.517-522
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    • 2014
  • In this paper we propose an axially distributed image-sensing method with a wide-angle lens to capture the wide-area scene of 3D objects. A lot of parallax information can be collected by translating the wide-angle camera along the optical axis. The recorded wide-area elemental images are calibrated using compensation of radial distortion. With these images we generate volumetric slice images using a computational reconstruction algorithm based on ray back-projection. To show the feasibility of the proposed method, we performed optical experiments for visualization of a partially occluded 3D object.

K-겹 교차 검증과 서포트 벡터 머신을 이용한 고무 오링결함 검출 시스템 (Rubber O-ring defect detection system using K-fold cross validation and support vector machine)

  • 이용은;최낙준;변영후;김대원;김경천
    • 한국가시화정보학회지
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    • 제19권1호
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    • pp.68-73
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    • 2021
  • In this study, the detection of rubber o-ring defects was carried out using k-fold cross validation and Support Vector Machine (SVM) algorithm. The data process was carried out in 3 steps. First, we proceeded with a frame alignment to eliminate unnecessary regions in the learning and secondly, we applied gray-scale changes for computational reduction. Finally, data processing was carried out using image augmentation to prevent data overfitting. After processing data, SVM algorithm was used to obtain normal and defect detection accuracy. In addition, we applied the SVM algorithm through the k-fold cross validation method to compare the classification accuracy. As a result, we obtain results that show better performance by applying the k-fold cross validation method.

Gated recurrent unit (GRU) 신경망을 이용한 적혈구 침강속도 예측 (Forecasting of erythrocyte sedimentation rate using gated recurrent unit (GRU) neural network)

  • 이재진;홍현지;송재민;염은섭
    • 한국가시화정보학회지
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    • 제19권1호
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    • pp.57-61
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    • 2021
  • In order to determine erythrocyte sedimentation rate (ESR) indicating acute phase inflammation, a Westergren method has been widely used because it is cheap and easy to be implemented. However, the Westergren method requires quite a long time for 1 hour. In this study, a gated recurrent unit (GRU) neural network was used to reduce measurement time of ESR evaluation. The sedimentation sequences of the erythrocytes were acquired by the camera and data processed through image processing were used as an input data into the neural network models. The performance of a proposed models was evaluated based on mean absolute error. The results show that GRU model provides best accurate prediction than others within 30 minutes.

가상화 기반의 SNS 시각화 (Visualization of Social Networks Service based on Virtualization)

  • 박선;김철원
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 춘계학술대회
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    • pp.637-638
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    • 2014
  • 본 논문은 소셜 네트워크상의 내외부 정보를 반영하여 사용자간의 관계를 사용자 중심으로 계층적 시각화하는 새로운 기상화 기반의 방법을 제안한다. 제안된 방법은 오픈스텍의 가상화 머신위에 하둡(hadoop)을 이용하여 분산병렬 처리하여 SNS의 링크노드를 사용자들이 쉽게 분석할 수 있도록 계층적 그래프로 시각화한다.

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온도감응형 인광물질을 이용한 온도장 및 열변형 동시 계측 기법 개발 (Development of a multi-sensing technique for temperature and strain field of high-temperature using thermographic phosphors)

  • 임유진;염은섭
    • 한국가시화정보학회지
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    • 제19권3호
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    • pp.77-83
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    • 2021
  • Solid oxide fuel cell (SOFC) operates at high temperatures in range of 600-800℃. Since layers of SOFC are composed of different substances, different thermal expansion in SOFC can result in defects under high temperature conditions. For understanding relation between temperature field and the thermal deformation in SOFC, temperature and strain field were simultaneously estimated using thermographic phosphors by optical measurement. Temperature fields were obtained by the life-time method, and the temperature differences of one specimen was checked with thermocouple. The thermal deformation was estimated by digital image correlation (DIC) method with extracted phosphorescence images. To investigate the deformation accuracy of DIC measurement, thermographic phosphors were coated with and without grid pattern on aluminum surface. Simultaneous measurement of temperature fields and thermal deformation were carried out for YSZ. This study will be helpful to multi-sensing of temperature field and thermal deformation on SOFC cells.

물리 기반 인공신경망을 이용한 PIV용 합성 입자이미지 생성 (Generation of Synthetic Particle Images for Particle Image Velocimetry using Physics-Informed Neural Network)

  • 최현조;신명현;박종호;박진수
    • 한국가시화정보학회지
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    • 제21권1호
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    • pp.119-126
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    • 2023
  • Acquiring experimental data for PIV verification or machine learning training data is resource-demanding, leading to an increasing interest in synthetic particle images as simulation data. Conventional synthetic particle image generation algorithms do not follow physical laws, and the use of CFD is time-consuming and requires computing resources. In this study, we propose a new method for synthetic particle image generation, based on a Physics-Informed Neural Networks(PINN). The PINN is utilized to infer the flow fields, enabling the generation of synthetic particle images that follow physical laws with reduced computation time and have no constraints on spatial resolution compared to CFD. The proposed method is expected to contribute to the verification of PIV algorithms.