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  • Hindawi Limited  (5)
  • Mathematics  (5)
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  • Hindawi Limited  (5)
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  • Mathematics  (5)
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  • 1
    Online Resource
    Online Resource
    Monitoring, Analyzing, and Modeling for Single Subsidence Basin in Coal Mining Areas Based on SAR Interferometry with L-Band Data
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-2-9), p. 1-10
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-2-9), p. 1-10
    Abstract: Excessive exploitation of underground mine resources has caused serious land subsidence in China. This paper focused on monitoring and modeling the single subsidence basin in coal mining area based on SAR interferometry (InSAR). The optimum InSAR processing strategy to monitor the mining subsidence was built to obtain the land subsidence with large deformation. And a method of three-dimensional mathematical modeling of single subsidence basin based on InSAR measurements was presented. Using Jining Coalfield (China) as the study area, we acquired 7 L-band PALSAR images from January 2008 to February 2010 to monitor the land subsidence in Jining Coalfield. The deformation maps in Jining Coalfield in different periods were obtained. Taking the Geting Coal Mine within the Jining coalfield as an example, we finely analyzed and interpreted the deformation maps. Compared with the simultaneous filed measurements, the precision of deformation measurement using D-InSAR in mining area was analyzed. The root mean square error was 1.37 cm. The method of fine interpretation and analysis for a single subsidence basin was established. The experiments have proved that InSAR technique with L-band InSAR data is suitable for monitoring mining subsidence with large deformation. And the 3D mathematical modeling method could be used for the single subsidence basin in coal mining area.
    Type of Medium: Online Resource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/6662097
    RVK:
    SA 7860
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2070004-0
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Evaluation of Variable Parameter Active Demons Algorithm-Based Diffusion Tensor Imaging on Ventricular Remodeling after Myocardial Infarction and Nursing
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-8-25), p. 1-8
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-8-25), p. 1-8
    Abstract: This study aimed to explore the effect of diffusion tensor imaging (DTI) image registration algorithm in the evaluation of ventricular remodeling in patients with myocardial infarction and the therapeutic effect of cross-theoretical model rehabilitation exercise care. The dynamic balance coefficient k was introduced to construct the DTI image registration algorithm k-AD based on the variable parameter AD algorithm. Then, it was compared with demons algorithm and AD algorithm and was applied in 110 patients with acute myocardial infarction. All patients were divided into the 55 cases of experimental group (cross-theoretical model rehabilitation exercise nursing) and 55 cases of control group (routine nursing). The myocardial tissue was labelled as infarction zone (IZ), infarction border zone (IBZ), and noninfarcted zone (NIZ). Finally, the fractional anisotropy (FA) and mean diffusivity (MD) were calculated. The results showed that the mean square error (MSE) of k-AD algorithm reduced to 0 after 35 iterations. The descent speed was obviously faster than AD and demons algorithms. The overlap of eigenvalue-eigenvector pairs (OVL-EEP) value of k-AD algorithm (0.25) was smaller than demons (0.81) and AD algorithms (0.56) ( P 〈 0.05 ). The FA value in IZ was notably smaller than IBZ and NIZ, while the MD value was greater than those ( P 〈 0.05 ). After nursing intervention, the FA value of myocardial infarction area in the experimental group was notably higher in contrast to control group, but the MD value was notably lower in contrast to it ( P 〈 0.05 ). In short, the DTI image registration algorithm k-AD based on the variable parameter AD algorithm was remarkably better than the demons and AD algorithms in convergence and DTI image registration. FA and MD values obtained by DTI registration image based on k-AD algorithm could clearly indicate the ventricular remodeling after myocardial infarction and the rehabilitation effect of cross-theoretical model rehabilitation exercise nursing intervention.
    Type of Medium: Online Resource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/6419240
    RVK:
    SA 7860
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2070004-0
    Location Call Number Limitation Availability
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Crowd Density Estimation Method Using Deep Learning for Passenger Flow Detection System in Exhibition Center
    Hindawi Limited ; 2022
    In:  Scientific Programming Vol. 2022 ( 2022-2-18), p. 1-9
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2022 ( 2022-2-18), p. 1-9
    Abstract: Aiming at the problems of crowd distribution, scale feature, and crowd feature extraction difficulties in exhibition centers, this paper proposes a crowd density estimation method using deep learning for passenger flow detection systems in exhibition centers. Firstly, based on the pixel difference symbol feature, the difference amplitude feature and gray feature of the central pixel are extracted to form the CLBP feature to obtain more crowd group description information. Secondly, use the LR activation function to add nonlinear factors to the convolution neural network (CNN) and use dense blocks derived from crowd density estimation to train the LR-CNN crowd density estimation model. Finally, experimental results show that the mean absolute error (MAE) and mean square error (MSE) of the proposed method in the UCF_CC_50 dataset are 325.6 and 369.4, respectively. Besides, MAE and MSE in part_A of the Shanghai Tech dataset are 213.5 and 247.1, respectively, and they in part_B are 85.3 and 99.7, respectively. The proposed method effectively improves the accuracy of crowd density estimation in exhibition centers.
    Type of Medium: Online Resource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2022/1990951
    RVK:
    SA 7860
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2070004-0
    Location Call Number Limitation Availability
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Local Gaussian Distribution Fitting Boundary Image Segmentation Algorithm for Ultrasound Images in Avoiding Recurrent Laryngeal Nerve Injury during Thyroid Nodules Treatment
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-8-31), p. 1-7
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-8-31), p. 1-7
    Abstract: This work aimed to analyze the effect of the boundary segmentation algorithm in thyroid nodules image segmentation and the influence of its adoption in avoiding recurrent laryngeal nerve (RLN) injury during treatment of thyroid nodules. The nodule boundary was extracted aided by the local Gaussian distribution fitting energy (LGDF) segmentation algorithm, which was compared with the normalized cut (Ncut) algorithm and the Canny algorithm. Then, 51 patients treated with microwave ablation for thyroid nodules were taken as a test group, and 51 patients treated with surgical resection were taken as a control group. The incidence of RLN injury and the levels of free triiodothyronine (FT3), free thyroid hormone (FT4), and thyroid-stimulating hormone (TSH) were compared between the two groups before and after treatment. The results showed that the true positive fraction (TPF) of the LGDF segmentation algorithm was 69.45%, the TPF of the Ncut algorithm and the Canny algorithm were 58.65% and 52.37%, respectively. The TPF of LGDF algorithm was higher than that of the Ncut algorithm and Canny algorithm, with notable differences ( P 〈 0.05 ). In the control group, there were 10 cases of temporary and permanent damage to the RLN after operation, and the total incidence was 19.61%. In the test group, there were 3 cases of temporary and permanent damage to the RLN after operation, and the total incidence was 5.88%, which was lower than that of the control group ( P 〈 0.05 ). No evident differences were shown in the levels of FT3, FT4, and TSH between the two groups before treatment ( P 〉 0.05 ). However, after treatment, the TSH level of the test group (4.58 ± 0.79) was higher than that of the control group (3.19 ± 0.17), and the levels of FT3 and FT4 in the test group were lower than those in the control group, and the differences were remarkable ( P 〈 0.05 ). In short, the LGDF algorithm had more ideal segmentation effect. In addition, ultrasound-guided microwave ablation was effective in treating benign thyroid nodules, which could reduce damage to the RLN and maintain normal thyroid function.
    Type of Medium: Online Resource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/6115040
    RVK:
    SA 7860
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2070004-0
    Location Call Number Limitation Availability
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    Online Resource
  • 5
    Online Resource
    Online Resource
    Application of 3D Image Technology in Motor and Sensory Nerve Classification
    Hindawi Limited ; 2021
    In:  Scientific Programming Vol. 2021 ( 2021-9-28), p. 1-6
    Details
    In: Scientific Programming, Hindawi Limited, Vol. 2021 ( 2021-9-28), p. 1-6
    Abstract: Objective. To explore the application of 3D image technology in motor and sensory nerve classification. Methods. A total of 200 sections of the 5cm-long popliteal fossa peroneal nerve from adult volunteers were cut and frozen. The slices were 10 m thick, and the interval between the slices was 0.25 mm. Acetylcholinesterase histochemical staining was used to observe the changes of nerve bundles under the microscope. The stained sections were transformed into digital images by the digital camera system, and the images were stitched to obtain a two-dimensional panoramic image 100 times magnified. The properties of the functional bundles were manually judged. Using Amira 3.1 three‐dimensional reconstruction software to realize the three-dimensional reconstruction and visualization of nerve can not only accurately perceive the complex three-dimensional surface structure of nerve, but also arbitrarily display, rotate, scale, and segment the three-dimensional structure inside nerve, and carry out three-dimensional measurement in time. It has made preliminary achievements in brachial plexus, lumbosacral plexus, neural stem functional bundle (group), and intramuscular nerve routing and distribution, including the regeneration process of sensory nerve and three-dimensional reconstruction and visualization of composite tissue containing sensory nerve. Conclusion. Based on histology and computer technology, the functional band of short peroneal nerve can be reconstructed in 3D, which provides a feasible basis for the three-dimensional reconstruction of the functional band of the long peripheral nerve.
    Type of Medium: Online Resource
    ISSN: 1875-919X , 1058-9244
    URL: Article
    DOI: 10.1155/2021/2219110
    RVK:
    SA 7860
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2070004-0
    Location Call Number Limitation Availability
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    Online Resource
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