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  • Open Access

    ARTICLE

    Implementation of High-Q Embedded Band Pass Filter in Wireless Communication

    V. Satheesh Kumar1,*, S. Ramesh2

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2191-2200, 2023, DOI:10.32604/iasc.2023.021188 - 05 January 2023

    Abstract At 12.8 MHz center frequency, the advanced miniaturized polymer-based planar high quality factor (Q) passive elements embedded bandpass filter works in the L-band. Because most of the demands operate inside the spectrum, the wideband or high-speed operation necessary to enhance must be acquired in microwave frequency ranges. The channel has a quiet, high-performance microfilter with wideband rejection. Capacitors and inductors are used in the high quality factor (Q) passive components, and related networks are incorporated in the filter. Embedded layers are concatenated using Three-Dimensional Integrated Circuit (3D-IC) integration, parasitics are removed, and interconnection losses are More >

  • Open Access

    ARTICLE

    Key Frame Extraction of Surveillance Video Based on Frequency Domain Analysis

    Yunzuo Zhang1,*, Shasha Zhang1, Jiayu Zhang1, Kaina Guo1, Zhaoquan Cai2

    Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 259-272, 2021, DOI:10.32604/iasc.2021.017200 - 12 May 2021

    Abstract Video key frame extraction, reputed as an essential step in video analysis and content-based video retrieval, and meanwhile, also serves as the basis and premise of generating video synopsis. Video key frame extraction means extracting the meaningful parts of the video by analyzing their content and structure to form a concise and semantically expressive summary. Up to now, people have achieved many research results in key frame extraction. Nevertheless, because the surveillance video has no specific structure, such as news, sports games, and other videos, it is not accurate enough to directly extract the key… More >

  • Open Access

    ARTICLE

    Intelligent Spectrum Detection Model Based on Compressed Sensing in Cognitive Radio Network

    Yanli Ji1, *, Weidong Wang2, Yinghai Zhang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 691-701, 2020, DOI:10.32604/cmes.2020.07861 - 01 February 2020

    Abstract In view of the uncertainty of the status of primary users in cognitive networks and the fact that the random detection strategy cannot guarantee cognitive users to accurately find available channels, this paper proposes a joint random detection strategy using the idle cognitive users in cognitive wireless networks. After adding idle cognitive users for detection, the compressed sensing model is employed to describe the number of available channels obtained by the cognitive base station to derive the detection performance of the cognitive network at this time. Both theoretical analysis and simulation results show that using More >

  • Open Access

    ARTICLE

    Velocity Fluctuations in a Particle-Laden Turbulent Flow over a Backward-Facing Step

    B. Wang1, H.Q. Zhang1, C.K. Chan2, X.L. Wang1

    CMC-Computers, Materials & Continua, Vol.1, No.3, pp. 275-288, 2004, DOI:10.3970/cmc.2004.001.275

    Abstract Dilute gas-particle turbulent flow over a backward-facing step is numerically simulated. Large Eddy Simulation (LES) is used for the continuous phase and a Lagrangian trajectory method is adopted for the particle phase. Four typical locations in the flow field are chosen to investigate the two-phase velocity fluctuations. Time-series velocities of the gas phase with particles of different sizes are obtained. Velocity of the small particles is found to be similar to that of the gas phase, while high frequency noise exists in the velocity of the large particles. While the mean and rms velocities of More >

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