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Journal of Visualization最新文献

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Relationship between fat thickness and current density magnitude in calf muscles compartments under electrical muscle stimulation (EMS) by coupling of electromagnetic simulation and electrical impedance tomography (ES-EIT) 电磁模拟与电阻抗断层扫描(ES-EIT)耦合研究肌肉电刺激(EMS)下小腿肌室脂肪厚度与电流密度大小的关系
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-06-23 DOI: 10.1007/s12650-023-00932-4
Bo Sun, P. N. Darma, Kaname Ikeda, Tomoyuki Shirai, Kosei Narita, M. Takei
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引用次数: 0
Comparing color usage in abstract, oil, and Chinese ink paintings 比较抽象画、油画和中国水墨画的色彩使用
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-06-22 DOI: 10.1007/s12650-023-00929-z
Yu-Feng Li, Zhenbao Fan, Yixuan Zhu, Christine Yan, Kang Zhang
{"title":"Comparing color usage in abstract, oil, and Chinese ink paintings","authors":"Yu-Feng Li, Zhenbao Fan, Yixuan Zhu, Christine Yan, Kang Zhang","doi":"10.1007/s12650-023-00929-z","DOIUrl":"https://doi.org/10.1007/s12650-023-00929-z","url":null,"abstract":"","PeriodicalId":54756,"journal":{"name":"Journal of Visualization","volume":"10 1","pages":"1389 - 1404"},"PeriodicalIF":1.7,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80092960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Visualization and metrics analysis of wind environments of typical high-rise residential building cluster configurations using CFD and image processing 基于CFD和图像处理的典型高层住宅群构型风环境可视化与度量分析
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-06-02 DOI: 10.1007/s12650-023-00931-5
Yiqin He, Ying-hong Chu, Yehao Song, Mengjia Liu, Shaohang Shi, Xinxing Chen, Weizhi Gao
{"title":"Visualization and metrics analysis of wind environments of typical high-rise residential building cluster configurations using CFD and image processing","authors":"Yiqin He, Ying-hong Chu, Yehao Song, Mengjia Liu, Shaohang Shi, Xinxing Chen, Weizhi Gao","doi":"10.1007/s12650-023-00931-5","DOIUrl":"https://doi.org/10.1007/s12650-023-00931-5","url":null,"abstract":"","PeriodicalId":54756,"journal":{"name":"Journal of Visualization","volume":"15 1","pages":"1211 - 1232"},"PeriodicalIF":1.7,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81762905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Visual analysis of the impact of periodic wakes on the pressure side of a turbine blade 周期性尾迹对涡轮叶片压力侧影响的可视化分析
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-06-01 DOI: 10.1007/s12650-023-00930-6
Baldwin Nsonga, J. Ventosa-Molina, D. Koschichow, J. Fröhlich, S. Gumhold, G. Scheuermann
{"title":"Visual analysis of the impact of periodic wakes on the pressure side of a turbine blade","authors":"Baldwin Nsonga, J. Ventosa-Molina, D. Koschichow, J. Fröhlich, S. Gumhold, G. Scheuermann","doi":"10.1007/s12650-023-00930-6","DOIUrl":"https://doi.org/10.1007/s12650-023-00930-6","url":null,"abstract":"","PeriodicalId":54756,"journal":{"name":"Journal of Visualization","volume":"118 1","pages":"1115 - 1137"},"PeriodicalIF":1.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88011955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Super-resolution reconstruction of schlieren images of supersonic free jets based on machine learning with bubble shadowgraphy data 基于气泡影数据的超声速自由射流纹影图像超分辨重建
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-31 DOI: 10.1007/s12650-023-00926-2
M. Ekwonu, Shujun Zhang, Binqi Chen, Xin Peng, Dong Kim
{"title":"Super-resolution reconstruction of schlieren images of supersonic free jets based on machine learning with bubble shadowgraphy data","authors":"M. Ekwonu, Shujun Zhang, Binqi Chen, Xin Peng, Dong Kim","doi":"10.1007/s12650-023-00926-2","DOIUrl":"https://doi.org/10.1007/s12650-023-00926-2","url":null,"abstract":"","PeriodicalId":54756,"journal":{"name":"Journal of Visualization","volume":"90 9 Pt 1 1","pages":"1085 - 1099"},"PeriodicalIF":1.7,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75861803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks. 基于深度卷积神经网络的超声层析成像增强方法。
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-31 DOI: 10.1007/s12650-023-00922-6
Azamatjon Kakhramon Ugli Malikov, Manuel Fernando Flores Cuenca, Beomjin Kim, Younho Cho, Young H Kim

Abstract: The containment liner plate (CLP) is a thin layer of carbon steel material applied as a base for concrete structures protecting nuclear material. The structural health monitoring of the CLP is critical to ensure the safety of nuclear power plants. Hidden defects in the CLP can be identified utilizing ultrasonic tomographic imaging techniques such as the reconstruction algorithm for the probabilistic inspection of damage (RAPID) methodology. However, Lamb waves have a multimodal dispersion feature, which makes the selection of a single mode more difficult. Thus, sensitivity analysis was utilized since it allows for the determination of each mode's level of sensitivity as a function of frequency; the S0 mode was chosen after examining the sensitivity. Even though proper Lamb wave mode was selected, the tomographic image had blurred zones. Blurring reduces the precision of an ultrasonic image and makes it more difficult to distinguish the dimensions of the flaw. To enhance the tomographic image of the CLP, deep learning architecture such as U-Net was utilized for the segmentation of the experimental ultrasonic tomographic image, which includes an encoder and decoder part for better visualization of the tomographic image. Nevertheless, collecting enough ultrasonic images to train the U-Net model was not economically feasible, and only a small number of the CLP specimens can be tested. Thus, it was necessary to utilize transfer learning and get the values of the parameters from a pre-trained model with a much larger dataset as a starting point for a new task, rather than training a new model from scratch. Through these deep learning approaches, we were able to eliminate the blurred section of the ultrasonic tomography, leading to images with clear edges of defects and no blurred zones.

Graphical abstract:

摘要:安全壳衬板(CLP)是一层薄的碳钢材料,用作保护核材料的混凝土结构的基础。中电的结构健康监测对确保核电站的安全至关重要。CLP中的隐藏缺陷可以利用超声断层成像技术来识别,例如用于损伤概率检测(RAPID)方法的重建算法。然而,兰姆波具有多模式色散特征,这使得选择单一模式变得更加困难。因此,使用了灵敏度分析,因为它允许将每个模式的灵敏度水平确定为频率的函数;在检查灵敏度之后选择S0模式。即使选择了适当的兰姆波模式,断层图像也有模糊区域。模糊降低了超声波图像的精度,并使区分缺陷的尺寸变得更加困难。为了增强CLP的断层图像,深度学习架构(如U-Net)被用于实验超声断层图像的分割,该架构包括编码器和解码器部分,用于更好地可视化断层图像。然而,收集足够的超声波图像来训练U-Net模型在经济上是不可行的,并且只能测试少量的CLP样本。因此,有必要利用迁移学习,并从预先训练的模型中获得参数值,该模型以更大的数据集作为新任务的起点,而不是从头开始训练新模型。通过这些深度学习方法,我们能够消除超声波断层扫描的模糊部分,从而获得具有清晰缺陷边缘和无模糊区域的图像。图形摘要:
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引用次数: 0
MADDPGViz: a visual analytics approach to understand multi-agent deep reinforcement learning MADDPGViz:一种理解多智能体深度强化学习的可视化分析方法
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-13 DOI: 10.1007/s12650-023-00928-0
Xiaoying Shi, Jiaming Zhang, Z. Liang, D. Seng
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引用次数: 1
Visualization of the rotational and irrotational motions in a temporally evolving turbulent plane jet 随时间变化的湍流平面射流中旋转和无旋转运动的可视化
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-13 DOI: 10.1007/s12650-023-00927-1
Yuanliang Xie, W. Yin, Xinxian Zhang, Yi Zhou
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引用次数: 0
Structural variety of developing and equilibrium horizontal convection confined in a rectangular vessel resulting from different heating plate arrangements 不同加热板布置导致矩形容器内水平对流发展和平衡的结构变化
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-08 DOI: 10.1007/s12650-023-00916-4
Tomomi Terada, D. Noto, Y. Tasaka, T. Miyagoshi, T. Yanagisawa
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引用次数: 1
Effects of a pair of adjacent rods on circular cylinder flow 一对相邻杆对圆柱流动的影响
IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-05-06 DOI: 10.1007/s12650-023-00919-1
Haiyang Yu, Donglai Gao, Wen-li Chen, Z. Deng
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引用次数: 0
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Journal of Visualization
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