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  • Open Access

    ARTICLE

    Improved Speech Emotion Recognition Focusing on High-Level Data Representations and Swift Feature Extraction Calculation

    Akmalbek Abdusalomov1, Alpamis Kutlimuratov2, Rashid Nasimov3, Taeg Keun Whangbo1,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2915-2933, 2023, DOI:10.32604/cmc.2023.044466 - 26 December 2023

    Abstract The performance of a speech emotion recognition (SER) system is heavily influenced by the efficacy of its feature extraction techniques. The study was designed to advance the field of SER by optimizing feature extraction techniques, specifically through the incorporation of high-resolution Mel-spectrograms and the expedited calculation of Mel Frequency Cepstral Coefficients (MFCC). This initiative aimed to refine the system’s accuracy by identifying and mitigating the shortcomings commonly found in current approaches. Ultimately, the primary objective was to elevate both the intricacy and effectiveness of our SER model, with a focus on augmenting its proficiency in… More >

  • Open Access

    ARTICLE

    Exploration on the Load Balancing Technique for Platform of Internet of Things

    Donglei Lu1, Dongjie Zhu2,*, Yundong Sun3, Haiwen Du3, Xiaofang Li4, Rongning Qu4, Yansong Wang3, Ning Cao1, Helen Min Zhou5

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 339-350, 2021, DOI:10.32604/csse.2021.016683 - 19 May 2021

    Abstract In recent years, the Internet of Things technology has developed rapidly, and smart Internet of Things devices have also been widely popularized. A large amount of data is generated every moment. Now we are in the era of big data in the Internet of Things. The rapid growth of massive data has brought great challenges to storage technology, which cannot be well coped with by traditional storage technology. The demand for massive data storage has given birth to cloud storage technology. Load balancing technology plays an important role in improving the performance and resource utilization… More >

  • Open Access

    ARTICLE

    Numerical Analysis of Large Strain Simple Shear and Fixed-End Torsion of HCP Polycrystals

    H. Wang1, Y. Wu2, P.D. Wu1, K.W. Neale3

    CMC-Computers, Materials & Continua, Vol.19, No.3, pp. 255-284, 2010, DOI:10.3970/cmc.2010.019.255

    Abstract Large strain homogeneous simple shear of Hexagonal Close Packed (HCP) polycrystals is first studied numerically. The analyses are based on the classical Taylor model and the Visco-Plastic Self-Consistent (VPSC) model with various Self-Consistent Schemes (SCSs). In these polycrystal plasticity models, both slip and twinning contribute to plastic deformations. The simple shear results are then extended to the case of solid circular bars under large strain fixed-end torsion, where it is assumed that the solid bar has the same mechanical properties as the element analyzed for large strain simple shear. It is shown that the predicted More >

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