Article
Computer Science, Software Engineering
Chenxi Liu, Pierre Benard, Aaron Hertzmann, Shayan Hoshyari
Summary: This article proposes a method for computing the visible occluding contours of subdivision surfaces by introducing new theory for contour visibility of smooth surfaces and necessary and sufficient conditions for valid sampled occluding contours. It also presents an algorithm to find sampled contours satisfying these conditions and generate a new triangle mesh matching the occluding contours. The method can be applied to any triangle mesh by treating it as the base mesh of a subdivision surface.
ACM TRANSACTIONS ON GRAPHICS
(2023)
Article
Engineering, Electrical & Electronic
Martin Alain, Aljosa Smolic
Summary: This paper studies the spectral properties of re-parameterized light field and introduces more flexible sampling guidelines. The simulations and results show that there are exciting avenues for practical applications of light fields.
SIGNAL PROCESSING-IMAGE COMMUNICATION
(2022)
Article
Computer Science, Software Engineering
Chih-Kuo Yeh, Zhanping Liu, I-Hsuan Lin, Eugene Zhang, Tong-Yee Lee
Summary: This article introduces an interactive system for creating hypnotic line art images by integrating and placing streamlines in tensor fields. With just a few sketches, users can generate professional-level hypnotic line art work.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Geochemistry & Geophysics
Kai Yang, Jianfeng Zhang
Summary: The determination of phase-velocity direction in anisotropic media is crucial for the study of wave phenomena and practical seismic applications. By computing group velocity and slowness vectors, a direction vector for PVD can be directly calculated. This method is applicable for various types of anisotropic media.
Article
Materials Science, Multidisciplinary
M. Domina, M. Cobelli, S. Sanvito
Summary: This paper introduces a method for representing vector fields with translational and rotational invariance, which can be utilized in the construction of machine learning energy models for solids and molecules. The method allows for the description of energy fluctuations due to atomic motion, longitudinal and transverse excitations of the vector field, and their interactions. The method can be applied to physical systems where the total energy is determined by a vector density.
Article
Computer Science, Information Systems
Tingting Huang, Mingwei Zhuang, Jianliang Zhuo, Ronghan Hong, Yuefeng Sun, Qing Huo Liu
Summary: The spectral element method is widely used for analyzing high frequency electromagnetic wave propagation and scattering in complex structures, but at low frequencies the primary fields are usually much larger than the secondary fields caused by scattering, making it more difficult to accurately simulate the secondary fields.
Article
Computer Science, Software Engineering
V. V. Sanzharov, V. A. Frolov, V. A. Galaktionov
Summary: This paper presents an approach to enabling support for vector images in GPU photorealistic rendering systems using signed distance fields and rasterization as base methods. The analysis of the results shows the effectiveness of the distance fields approach for various vector images, but artifacts may appear in some cases, in which case a rasterization-based approach is proposed.
PROGRAMMING AND COMPUTER SOFTWARE
(2023)
Article
Engineering, Civil
Mohanad Elagamy, Cristobal Gallego-Castillo, Alvaro Cuerva-Tejero, Oscar Lopez-Garcia, Sergio Avila-Sanchez
Summary: In this study, a novel approach is proposed to optimize the calibration parameters of a vector autoregressive model for synthetic generation of turbulent wind fields. The approach is based on eigenanalysis of the companion matrix of the vector autoregressive model. The cross-power spectral density matrix for different turbulent wind conditions is considered as targets and compared with existing approaches for calibration of vector autoregressive model parameters, discussing the implications of determining the vector autoregressive model in the frequency or time domain.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2023)
Article
Mechanics
S. Kuznetsov
Summary: A pseudodifferential operator is used to describe the stress field caused by a dislocation with a variable Burgers vector in an anisotropic medium, and analytical expressions for the energy of circular dislocations with variable Burgers vectors in elastic media with general anisotropy are obtained for the first time under certain assumptions. It is found that in an isotropic medium, the energy of formation of edge and slip dislocations is solely determined by the uniform norm of the Burgers vector.
MECHANICS OF SOLIDS
(2021)
Article
Chemistry, Analytical
Qinghai He, Haowen Zhang, Tianhua Li, Xiaojia Zhang, Xiaoli Li, Chunwang Dong
Summary: Soil fertility is crucial for tea plant growth, and the rapid and accurate detection of soil physicochemical properties plays a significant role in precision agriculture in tea plantations. This study utilized spectral data and support vector regression model to predict and optimize the soil physicochemical properties in tea plantation soils. The findings showed that soil particle size and downscaling strategies had an impact on the prediction accuracy.
Article
Engineering, Multidisciplinary
Francesco A. B. Silva, Stefano Lorenzi, Antonio Cammi
Summary: This article presents two extensions of the empirical interpolation method (EIM) designed to deal with vector interpolation problems: EIM-roto and EIM-orto. Testing on a benchmark case shows that EIM-roto interpolation allows reconstruction performances close to the POD ones, while EIM-orto interpolation does not provide reliable reconstructions.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Physics, Applied
K. Namita, Y. Ito, T. Kobayashi
Summary: Research on optically pumped magnetometers with ultrahigh sensitivities has led to a proposed method for estimating magnetic field direction, achieving an estimation accuracy of 0.1 degrees.
JAPANESE JOURNAL OF APPLIED PHYSICS
(2021)
Article
Computer Science, Information Systems
Chao Wang, Meng Yuan
Summary: The underwater glider moves forward by changing its buoyancy and can conduct long-term marine observation with good stealthiness. By controlling the working time of the acoustic system, noise interference from the platform can be avoided.
Article
Computer Science, Theory & Methods
Guangwei Qing, Weiwei Hu
Summary: A novel method is proposed to estimate direction of arrival (DOA) with uniform circular array (UCA) in the presence of phase errors. Inspired by the rank reduction (RARE) theory, this method utilizes a reduction in the radius of UCA to create a rank reduction vector that is only related to the DOA in the UCA mode domain. By decoupling the DOA and the channel phase errors in the steering vector, an optimization function only related to the phase errors is formulated. The proposed method requires no redundant sensors or calibration sources.
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Yun Liu, Hao Wang, Zidong Xu, Jian Li, Tong Wu, Jianxiao Mao
Summary: In this paper, a correlated-turbulence wave number-frequency spectral representation method (CT-WSRM) is proposed for simulating turbulent wind fields. Turbulent spectra that consider the correlation of turbulence are established using wind data measured during Typhoon Yanhua at the Ma'anshan Yangtze River (MYR) Bridge site in China. The proposed method can be utilized to simulate multidimensional multivariate two dimensional-three variate (2D-3V) spatial-temporal turbulent wind fields. This method can be further utilized in the dynamic reliability analysis, providing structural reliability evaluation from the probabilistic view.
JOURNAL OF ENGINEERING MECHANICS
(2023)
Article
Computer Science, Software Engineering
Rodrigo Baravalle, Leonardo Scandolo, Claudio Delrieux, Cristian Garcia Bauza, Elmar Eisemann
COMPUTER ANIMATION AND VIRTUAL WORLDS
(2017)
Article
Computer Science, Software Engineering
Leonardo Scandolo, Pablo Bauszat, Elmar Eisemann
COMPUTER GRAPHICS FORUM
(2016)
Article
Computer Science, Software Engineering
Leonardo Scandolo, Pablo Bauszat, Elmar Eisemann
COMPUTER GRAPHICS FORUM
(2016)
Article
Computer Science, Software Engineering
Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt
COMPUTER GRAPHICS FORUM
(2017)
Article
Computer Science, Software Engineering
Leonardo Scandolo, Sungkil Lee, Elmar Eisemann
COMPUTER GRAPHICS FORUM
(2018)
Article
Computer Science, Software Engineering
Leonardo Scandolo, Pablo Bauszat, Elmar Eisemann
COMPUTER GRAPHICS FORUM
(2019)
Article
Computer Science, Software Engineering
Xuejiao Luo, Leonardo Scandolo, Elmar Eisemann
Summary: This paper presents a system to explore large unlabeled collections of texture images, simplifying navigation by grouping textures sharing similar features. The system uses a pre-trained convolutional neural network to extract high-level semantic image features, which are then mapped to a 2-dimensional location using an adaptation of t-SNE.
COMPUTER GRAPHICS FORUM
(2021)