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  • Open Access

    ARTICLE

    Damage Detection for CFRP Based on Planar Electrical Capacitance Tomography

    Wenru Fan, Chi Wang*

    Structural Durability & Health Monitoring, Vol.14, No.4, pp. 303-314, 2020, DOI:10.32604/sdhm.2020.011009

    Abstract Due to the widespread use of carbon fiber reinforced polymer/plastic (CFRP), the nondestructive structural health monitoring for CFRP is playing an increasingly essential role. As a nonradiative, noninvasive and nondestructive detection technique, planar electrical capacitance tomography (PECT) electrodes array is employed in this paper to reconstruct the damage image according to the calculated dielectric constant changes. The shape and duty ratio of PECT electrodes are optimized according to the relations between sensitivity distribution and the dielectric constant of different anisotropic degrees. The sensitivity matrix of optimized PECT sensor is more uniform as the result shows, because the sensitivity of insensitivity… More >

  • Open Access

    ARTICLE

    3D Reconstruction for Motion Blurred Images Using Deep Learning-Based Intelligent Systems

    Jing Zhang1,2, Keping Yu3,*, Zheng Wen4, Xin Qi3, Anup Kumar Paul5

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2087-2104, 2021, DOI:10.32604/cmc.2020.014220

    Abstract The 3D reconstruction using deep learning-based intelligent systems can provide great help for measuring an individual’s height and shape quickly and accurately through 2D motion-blurred images. Generally, during the acquisition of images in real-time, motion blur, caused by camera shaking or human motion, appears. Deep learning-based intelligent control applied in vision can help us solve the problem. To this end, we propose a 3D reconstruction method for motion-blurred images using deep learning. First, we develop a BF-WGAN algorithm that combines the bilateral filtering (BF) denoising theory with a Wasserstein generative adversarial network (WGAN) to remove motion blur. The bilateral filter… More >

  • Open Access

    ARTICLE

    Two-Dimensional Reconstruction of Heat Transfer in a Flat Flame Furnace through Computer-Based Tomography and Tunable-Diode-Laser Absorption Spectroscopy

    Xiaoyong Wang*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 857-869, 2020, DOI:10.32604/fdmp.2020.09565

    Abstract To explore the inherent characteristics of combustion-induced heat transfer in a flat flame furnace, a sophisticated hybrid method is introduced by combining a computer-based tomography (CT)-algebraic iterative algorithm and Tunable Diode Laser Absorption Spectroscopy (TDLAS). This technique is used to analyze the distribution of vapor concentration and furnace temperature. It is shown that by using this strategy a variety of details can be obtained, which would otherwise be out of reach. More >

  • Open Access

    ARTICLE

    The Application of Sparse Reconstruction Algorithm for Improving Background Dictionary in Visual Saliency Detection

    Lei Feng1,2, Haibin Li1,*, Yakun Gao1, Yakun Zhang1

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 831-839, 2020, DOI:10.32604/iasc.2020.010117

    Abstract In the paper, we apply the sparse reconstruction algorithm of improved background dictionary to saliency detection. Firstly, after super-pixel segmentation, two bottom features are extracted: the color information of LAB and the texture features of the image by Gabor filter. Secondly, the convex hull theory is used to remove object region in boundary region, and K-means clustering algorithm is used to continue to simplify the background dictionary. Finally, the saliency map is obtained by calculating the reconstruction error. Compared with the mainstream algorithms, the accuracy and efficiency of this algorithm are better than those of other algorithms. More >

  • Open Access

    ARTICLE

    Reconstruction of Meaning in Life: Meaning Made during the Pandemic of COVID-19

    Changkai Chen1,*, Yongjing Zhang1, Anran Xu2, Xing Chen1, Jingru Lin3

    International Journal of Mental Health Promotion, Vol.22, No.3, pp. 173-184, 2020, DOI:10.32604/IJMHP.2020.011509

    Abstract Two studies were conducted to compare the differences between the source and significance of the meaning of life amongst Chinese people before and after the pandemic of COVID-19. In study 1, we have developed a scale regarding the Chinese Sources of Meaning in Life. By using this scale, we investigated people under COVID-19, and found six main sources of meaning in life: Autonomy, Family Responsibility, Social Responsibility, Religious Beliefs, Simpler Lifestyle as well as Joy and Wealth. In Study 2, we compared the scores of the source of life’s meaning shown in the two different samples regarding the situations before… More >

  • Open Access

    ARTICLE

    Image Reconstruction Based on Compressed Sensing Measurement Matrix Optimization Method

    Caifeng Cheng1,2, Deshu Lin3,*

    Journal on Internet of Things, Vol.2, No.1, pp. 47-54, 2020, DOI:10.32604/jiot.2020.09117

    Abstract In this paper, the observation matrix and reconstruction algorithm of compressed sensing sampling theorem are studied. The advantages and disadvantages of greedy reconstruction algorithm are analyzed. The disadvantages of signal sparsely are preset in this algorithm. The sparsely adaptive estimation algorithm is proposed. The compressed sampling matching tracking algorithm supports the set selection and culling atomic standards to improve. The sparse step size adaptive compressed sampling matching tracking algorithm is proposed. The improved algorithm selects the sparsely as the step size to select the support set atom, and the maximum correlation value. Half of the threshold culling algorithm supports the… More >

  • Open Access

    ARTICLE

    Multi-Directional Reconstruction Algorithm for Panoramic Camera

    Shi Qiu1, Bin Li2, *, Keyang Cheng3, Xiao Zhang2, Guifang Duan4, Feng Li5

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 433-443, 2020, DOI:10.32604/cmc.2020.09708

    Abstract of view. It can be applied in virtual reality, smart homes and other fields as well. A multi-directional reconstruction algorithm for panoramic camera is proposed in this paper according to the imaging principle of dome camera, as the distortion inevitably exists in the captured panorama. First, parameters of a panoramic image are calculated. Then, a weighting operator with location information is introduced to solve the problem of rough edges by taking full advantage of pixels. Six directions of the mapping model are built, which include up, down, left, right, front and back, according to the correspondence between cylinder and spherical… More >

  • Open Access

    ARTICLE

    Midterm outcomes of right ventricular outflow tract reconstruction using the Freestyle xenograft

    James A. Kuo1, Tyler Hamby2, Maham N. Munawar3, Eldad Erez4, Vincent K. H. Tam5

    Congenital Heart Disease, Vol.14, No.4, pp. 651-656, 2019, DOI:10.1111/chd.12765

    Abstract Objective: Various options exist for right ventricular outflow tract (RVOT) recon‐ struction in congenital heart disease. The Freestyle porcine aortic root may be used but its longevity is not well defined.
    Design: We performed a retrospective review of all non‐Ross RVOT reconstructions using the Freestyle root in our institution. Survival and reintervention, either by sur‐ gery, transcatheter valve implantation, balloon valvuloplasty, or bare metal stent placement, were recorded. Factors associated with reintervention were assessed using Cox regression.
    Results: Between January 2002 and December 2015, there were 182 patients identi‐ fied. Sixteen patients were lost to follow‐up and 3 patients died,… More >

  • Open Access

    ARTICLE

    Knowledge-based reconstruction for measurement of right ventricular volumes on cardiovascular magnetic resonance images in a mixed population

    Elise D. Pieterman1,2, Ricardo P. J. Budde2, Danielle Robbers-Visser1,2, Ron T. van Domburg3, Willem A. Helbing1,2

    Congenital Heart Disease, Vol.12, No.5, pp. 561-569, 2017, DOI:10.1111/chd.12484

    Abstract Objective: Follow-up of right ventricular performance is important for patients with congenital heart disease. Cardiac magnetic resonance imaging is optimal for this purpose. However, observerdependency of manual analysis of right ventricular volumes limit its use. Knowledge-based reconstruction is a new semiautomatic analysis tool that uses a database including knowledge of right ventricular shape in various congenital heart diseases. We evaluated whether knowledge-based reconstruction is a good alternative for conventional analysis.
    Design: To assess the inter- and intra-observer variability and agreement of knowledge-based versus conventional analysis of magnetic resonance right ventricular volumes, analysis was done by two observers in a mixed… More >

  • Open Access

    ARTICLE

    The effect of right ventricular function on survival and morbidity following stage 2 palliation: An analysis of the single ventricle reconstruction trial public data set

    Vanessa Marie Hormaza1, Mark Conaway2, Daniel Scott Schneider1, Jeffrey Eric Vergales1

    Congenital Heart Disease, Vol.14, No.2, pp. 274-279, 2019, DOI:10.1111/chd.12722

    Abstract Objective: Limited information is known on how right ventricular function affects outcomes after stage 2 palliation. We evaluated the impact of different right ventricular indices prior to stage 2 palliation on morbidity and mortality.
    Design: Retrospective study design.
    Setting: Pediatric Heart Network Single Ventricle Reconstruction Trial Public Data Set.
    Patient: Any variant of stage 1 palliation and all anatomic hypoplastic left heart syndrome variants in the trial were evaluated. Echocardiograms prior to stage 2 palliation were analyzed and compared between those who failed and those who survived.
    Intervention: None.
    Outcome measures: Mortality was defined as death, listed for transplant, or… More >

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