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  • Open Access

    ARTICLE

    Modeling and Prediction of Inter-System Bias for GPS/BDS-2/BDS-3 Combined Precision Point Positioning

    Zejie Wang1, Qianxin Wang1,*, Sanxi Li2

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 823-843, 2022, DOI:10.32604/cmes.2022.020106 - 27 June 2022

    Abstract The combination of Precision Point Positioning (PPP) with Multi-Global Navigation Satellite System (MultiGNSS), called MGPPP, can improve the positioning precision and shorten the convergence time more effectively than the combination of PPP with only the BeiDou Navigation Satellite System (BDS). However, the Inter-System Bias (ISB) measurement of Multi-GNSS, including the time system offset, the coordinate system difference, and the inter-system hardware delay bias, must be considered for Multi-GNSS data fusion processing. The detected ISB can be well modeled and predicted by using a quadratic model (QM), an autoregressive integrated moving average model (ARIMA), as well… More >

  • Open Access

    ARTICLE

    Skeleton Keypoints Extraction Method Combined with Object Detection

    Jiabao Shi1, Zhao Qiu1,*, Tao Chen1, Jiale Lin1, Hancheng Huang2, Yunlong He3, Yu Yang3

    Journal of New Media, Vol.4, No.2, pp. 97-106, 2022, DOI:10.32604/jnm.2022.027176 - 13 June 2022

    Abstract Big data is a comprehensive result of the development of the Internet of Things and information systems. Computer vision requires a lot of data as the basis for research. Because skeleton data can adapt well to dynamic environment and complex background, it is used in action recognition tasks. In recent years, skeleton-based action recognition has received more and more attention in the field of computer vision. Therefore, the keypoints of human skeletons are essential for describing the pose estimation of human and predicting the action recognition of the human. This paper proposes a skeleton point More >

  • Open Access

    ARTICLE

    Transcriptome analysis combined with metabolome analysis reveals the significant functions of CesA genes in cotton (Gossypium hirsutum) fiber length development

    ZHENKUI CUI1,#,*, GUIQIN SUN2,#,*, QUANZHI ZHAO1

    BIOCELL, Vol.46, No.9, pp. 2133-2144, 2022, DOI:10.32604/biocell.2022.020512 - 18 May 2022

    Abstract Cotton is widely distributed worldwide, and improving the quality of its fiber is one of the most important tasks in cotton breeding. Cotton fibers are primarily composed of cellulose, which is synthesized by CesA complexes (CSCs). However, the functions of CesA genes in cotton fiber development have not been comprehensively analysed. In this study, the cotton transcriptome and metabolome were used to investigate the function of CesA genes in fiber development. Finally, 321 metabolites were obtained, 84 of which were associated with the corresponding genes. Interestingly, a target gene named Gh_A08G144300, one of the CesA gene family members, More >

  • Open Access

    ARTICLE

    Chinese News Text Classification Based on Convolutional Neural Network

    Hanxu Wang, Xin Li*

    Journal on Big Data, Vol.4, No.1, pp. 41-60, 2022, DOI:10.32604/jbd.2022.027717 - 04 May 2022

    Abstract With the explosive growth of Internet text information, the task of text classification is more important. As a part of text classification, Chinese news text classification also plays an important role. In public security work, public opinion news classification is an important topic. Effective and accurate classification of public opinion news is a necessary prerequisite for relevant departments to grasp the situation of public opinion and control the trend of public opinion in time. This paper introduces a combined-convolutional neural network text classification model based on word2vec and improved TF-IDF: firstly, the word vector is… More >

  • Open Access

    ARTICLE

    Combined Echocardiography and Lung Ultrasound for Extubation Outcome Prediction in Children after Cardiac Surgery

    Muzi Li1,4, Hong Meng1,4,*, Liang Zhang2, Yuzi Zhou3, Chao Liang4, Zhiling Luo4, Hao Wang1,*

    Congenital Heart Disease, Vol.17, No.3, pp. 231-244, 2022, DOI:10.32604/chd.2022.019480 - 03 May 2022

    Abstract Background: Children are at risk of extubation failure after congenital heart disease surgery. Such cases should be identified to avoid possible adverse consequences of failed extubation. This study aimed to identify ultrasound predictors of successful extubation in children who underwent cardiac surgery. Methods: Children aged 3 months to 6 years who underwent cardiac surgery (if they were intubated for >6 h and underwent a spontaneous breathing trial) were included in this study. Results: We included 83 children who underwent surgery for congenital heart disease. Transthoracic echocardiography and lung ultrasound were performed immediately before spontaneous breathing trials. Upon… More >

  • Open Access

    ARTICLE

    Cervical Cancer Classification Using Combined Machine Learning and Deep Learning Approach

    Hiam Alquran1,2, Wan Azani Mustafa3,4,*, Isam Abu Qasmieh2, Yasmeen Mohd Yacob3,4, Mohammed Alsalatie5, Yazan Al-Issa6, Ali Mohammad Alqudah2

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5117-5134, 2022, DOI:10.32604/cmc.2022.025692 - 21 April 2022

    Abstract Cervical cancer is screened by pap smear methodology for detection and classification purposes. Pap smear images of the cervical region are employed to detect and classify the abnormality of cervical tissues. In this paper, we proposed the first system that it ables to classify the pap smear images into a seven classes problem. Pap smear images are exploited to design a computer-aided diagnoses system to classify the abnormality in cervical images cells. Automated features that have been extracted using ResNet101 are employed to discriminate seven classes of images in Support Vector Machine (SVM) classifier. The… More >

  • Open Access

    ARTICLE

    Influence of a Winglet Combined with a Groove Tip on the Performances of a Variable-Pitch Axial Flow Fan

    Fei Zhou, Yu Zhou*, Xuemin Ye

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.4, pp. 1025-1037, 2022, DOI:10.32604/fdmp.2022.020196 - 06 April 2022

    Abstract Taking a two-stage variable-pitch axial fan as the research object, five schemes, including a single counter-flow rib layout grooved tip, are numerically simulated using the fluent software. The results indicate that, compared with the original blade tip, the total pressure rise and efficiency of the four proposed schemes have been improved to various degrees, with Scheme 4 (groove tip with double counterflow ribs) displaying the best performances. The total pressure and efficiency are increased by 113.44 Pa and 0.955%, respectively. The blade tip leakage flow is reduced to varying degrees under different schemes, according to the More >

  • Open Access

    ARTICLE

    Prediction of the Behavior of a Power System Using Root Cause Failure Analysis

    Seyed Mohammad Seyed Hosseini*, Kamran Shahanaghi, Safar Shasfand

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 815-833, 2022, DOI:10.32604/fdmp.2022.019626 - 22 February 2022

    Abstract

    The thermo-economic performance of a gas turbine is simulated using a fish bone technique to characterize the major equipment failure causes. Moreover a fault tree analysis and a Pareto technique are implemented to identify the related failure modes, and the percentage and frequency of failures, respectively. A pump 101 and drier 301 belonging to the Tabriz Petrochemical Company are considered for such analysis, which is complemented with a regression method to determine a behavioral model of this equipment over a twenty-year period. Research findings indicate that 81% of major failure factors in production equipment are related

    More >

  • Open Access

    ARTICLE

    Oil Production Optimization by Means of a Combined “Plugging, Profile Control, and Flooding” Treatment: Analysis of Results Obtained Using Computer Tomography and Nuclear Magnetic Resonance

    Yanyue Li1, Changlong Liu1, Wenbo Bao1,*, Baoqing Xue1, Peng Lv1, Nan Wang1, Hui Li1, Wenguo Ma2

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 737-749, 2022, DOI:10.32604/fdmp.2022.019139 - 22 February 2022

    Abstract

    Due to long-term water injection, often oilfields enter the so-called medium and high water cut stage, and it is difficult to achieve good oil recovery and water reduction through standard methods (single profile control and flooding measures). Therefore, in this study, a novel method based on “plugging, profile control, and flooding” being implemented at the same time is proposed. To assess the performances of this approach, physical simulations, computer tomography, and nuclear magnetic resonance are used. The results show that the combination of a gel plugging agent, a polymer microsphere flooding agent, and a high-efficiency

    More >

  • Open Access

    ARTICLE

    Dynamic Simulation and Performance Analysis on Multi-Energy Coupled CCHP System

    Xueqin Tian1, Jinfei Sun2, Tong Xu1, Mengran Cui2, Xinlei Wang1, Jianxiang Guo2, De-gejirifu1,*, Na Wang1

    Energy Engineering, Vol.119, No.2, pp. 723-737, 2022, DOI:10.32604/ee.2022.015982 - 24 January 2022

    Abstract Although the Combined Cooing, Heating and Power System (hereinafter referred to as “CCHP”) improves the capacity utilization rate and energy utilization efficiency, single use of CCHP system cannot realize dynamic matching between supply and demand loads due to the unbalance features of the user’s cooling and heating loads. On the basis of user convenience and wide applicability of clean air energy, this paper tries to put forward a coupled CCHP system with combustion gas turbine and ASHP ordered power by heat, analyze trends of such parameters as gas consumption and power consumption of heat pump… More >

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