Tingting Yang¹, Shuwen Jia¹, Hao Ma^{2, *}

CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1249-1258, 2020, DOI:10.32604/cmc.2020.05777

Abstract Underwater imaging is widely used in ocean, river and lake exploration, but it is affected by properties of water and the optics. In order to solve the lower-resolution underwater image formed by the influence of water and light, the image super-resolution reconstruction technique is applied to the underwater image processing. This paper addresses the problem of generating super-resolution underwater images by convolutional neural network framework technology. We research the degradation model of underwater images, and analyze the lower-resolution factors of underwater images in different situations, and compare different traditional super-resolution image reconstruction algorithms. We further show that the algorithm of… More >

FRANCISCO CAPANI¹, EZEQUIEL SARACENO¹, VALERIA ROMINA BOTI¹, LAURA AON-BERTOLINO¹, JUAN CARLOS FERNÁNDEZ¹, FERNANDO GATO¹, MARIA SOL KRAUSE², LISANDRO GIRALDEZ³, MARK H. ELLISMAN⁴, HÉCTOR COIRINI^1,2

BIOCELL, Vol.32, No.1, pp. 1-8, 2008, DOI:10.32604/biocell.2008.32.001

Abstract Cellular and subcellular organization and distribution of actin filaments have been studied with various techniques. The use of fluorescence photo-oxidation combined with phalloidin conjugates with eosin has allowed the examination of the precise cellular and subcellular location of F-actin. Correlative fluorescence light microscopy and transmission electron microscopy studies of F-actin distribution are facilitated with this method for morphological and physiological studies. Because phalloidin-eosin is smaller than other markers, this method allows the analysis of the three-dimensional location of F-actin with high-resolution light microscopy, three-d serial sections reconstructions, and electron tomography. The combination of selective staining and three-dimensional reconstructions provide a… More >

R. Cadossi¹, L. Massari², F. Benazzo³, F. Falez⁴, S. Giannini⁵, C. Zorzi⁶, L. Pederzini⁷, S. Setti¹

Molecular & Cellular Biomechanics, Vol.3, No.4, pp. 239-240, 2006, DOI:10.32604/mcb.2006.003.239

Abstract This article has no abstract. More >

Y-Q. Zhang¹, W-J. Zhang¹, X-J. Hu¹, G-D. Zhou¹, L. Cui¹, W. Liu¹, Y-L. Cao¹

Molecular & Cellular Biomechanics, Vol.3, No.4, pp. 141-142, 2006, DOI:10.32604/mcb.2006.003.141

Abstract This article has no abstract. More >

Qian Kong¹, Genshan Jiang^{1, 2, *}, Yuechao Liu¹

Sound & Vibration, Vol.52, No.4, pp. 9-20, 2018, DOI:10.32604/sv.2018.03749

Abstract The temperature field distribution directly reflects the combustion condition in a furnace．In this paper, acoustic thermometry to reconstruct temperature distribution is investigated. A method based on radial basis function approximation with polynomial reproduction (RBF-PR) is proposed in order to improve the accuracy and stability of the method based on RBF approximation. In addition, the refraction effect of sound wave paths is considered in the process of reconstruction. The curved lines with refraction effect are numerically calculated by solving differential equations, which show that sonic waves curve towards the zones of higher temperature. The reconstructed performance is validated via numerical simulation… More >

I-Yao CHAN, Chein-Shan Liu, Weichung Yeih

The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.2, pp. 53-54, 2011, DOI:10.3970/icces.2011.020.053

Abstract In this study, we adopt the fictitious time integration method to treat the image reconstruction problem. The distorted image is considered as a result of diffused data from the initial perfect image by using a nonlinear diffusion equation. The image reconstruction problem then becomes an inverse problem by using the data in the final time to recover the data in the initial time. This inverse problem is known as the backward in time nonlinear diffusion problem which is highly ill-posed. We propose to use the fictitious time integration method to tackle this highly ill-posed image reconstruction problem and it is… More >

Yu.A. Goritskiy¹, V.A. Kazakov²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.14, No.2, pp. 63-64, 2010, DOI:10.3970/icces.2010.014.063

Abstract At the first time the statistical description of the Sampling-Reconstruction Procedure (SRP) of Discrete Markov Processes (Markov chains) with continuous time and with an arbitrary number of states is given. The mathematical models of Markov chains with continuous time are intensively used in the description of some real stochastic processes with jumps (in control systems and radio engineering), for instance, impulse noise [1, 2]. This is the reason that it is necessary to know: how to sample, how to reconstruct and how to calculate the reconstruction errors of such processes. (Jumps can be occurred in continuous time moments.) So, the… More >

Rui Lu¹, Zhanjun Wu¹, Qi Zhou¹, Hao Xu^1,*

Structural Durability & Health Monitoring, Vol.13, No.3, pp. 267-287, 2019, DOI:10.32604/sdhm.2019.06323

Abstract Structural health monitoring (SHM) is a research focus involving a large category of techniques performing in-situ identification of structural damage, stress, external loads, vibration signatures, etc. Among various SHM techniques, those able to monitoring structural deformed shapes are considered as an important category. A novel method of deformed shape reconstruction for thin-walled beam structures was recently proposed by Xu et al. [1], which is capable of decoupling complex beam deformations subject to the combination of different loading cases, including tension/compression, bending and warping torsion, and also able to reconstruct the full-field displacement distributions. However, this method was demonstrated only under… More >

K. Slámečka¹, J.Pokluda¹, P. Ponížil ², P. Šandera¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.4, pp. 153-160, 2007, DOI:10.3970/icces.2007.001.153

Abstract In the paper a procedure for evaluation of the fracture surface morphology is described in detail. It consists of the stereophotogrammetrical 3D surface reconstruction followed by the Delaunay triangulation of obtained set of surface points. The potential of the procedure is demonstrated using fracture surfaces generated under combined bending-torsion fatigue loading of specimens made from high-strength low-alloy Cr-Al-Mo steel. Fracture profiles extracted from calculated 3D meshes are characterized by the root mean square roughness and the Hurst exponent. As a main result of the analysis the critical portion of the torsion loading component after which the character of the crack… More >

Lingjie Yu^1,2, Guanlin Wang¹, Chao Zhi¹, Bugao Xu^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 365-372, 2019, DOI:10.32604/cmes.2019.04494

Abstract A fibrous filtering material is a kind of fiber assembly whose structure exhibits a three-dimensional (3D) network with dense microscopic open channels. The geometrical/morphological attributes, such as orientations, curvatures and compactness, of fibers in the network is the key to the filtration performance of the material. However, most of the previous studies were based on materials’ 2D micro-images, which were unable to accurately measure these important 3D features of a filter’s structure. In this paper, we present an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic images. Firstly, a series of images of… More >