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  1. Article: Integrated Circuit of a Chua's System Based on the Integral-Differential Nonlinear Resistance with Multi-Path Voltage-Controlled Oscillator.

    Duan, Zhikui / Li, Huosheng / He, Shaobo / Long, Yongxi / Yu, Xinmei / Ke, Qingqing

    Micromachines

    2024  Volume 15, Issue 3

    Abstract: In this paper, we present a fully integrated circuit without inductance implementing Chua's chaotic system. The circuit described in this study utilizes the SMIC 180 nm CMOS process and incorporates a multi-path voltage-controlled oscillator (VCO). The ... ...

    Abstract In this paper, we present a fully integrated circuit without inductance implementing Chua's chaotic system. The circuit described in this study utilizes the SMIC 180 nm CMOS process and incorporates a multi-path voltage-controlled oscillator (VCO). The integral-differential nonlinear resistance is utilized as a variable impedance component in the circuit, constructed using discrete devices from a microelectronics standpoint. Meanwhile, the utilization of a multi-path voltage-controlled oscillator ensures the provision of an adequate oscillation frequency and a stable waveform for the chaotic circuit. The analysis focuses on the intricate and dynamic behaviors exhibited by the chaotic microelectronic circuit. The experimental findings indicate that the oscillation frequency of the VCO can be adjusted within a range of 198 MHz to 320 MHz by manipulating the applied voltage from 0 V to 1.8 V. The circuit operates within a 1.8 V environment, and exhibits power consumption, gain-bandwidth product (GBW), area, and Lyapunov exponent values of 1.0782 mW, 4.43 GHz, 0.0165 mm
    Language English
    Publishing date 2024-03-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi15030401
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Sim-T

    Wei, Guangyong / Duan, Zhikui / Li, Shiren / Yang, Guangguang / Yu, Xinmei / Li, Junhua

    Simplify the Transformer Network by Multiplexing Technique for Speech Recognition

    2023  

    Abstract: In recent years, a great deal of attention has been paid to the Transformer network for speech recognition tasks due to its excellent model performance. However, the Transformer network always involves heavy computation and large number of parameters, ... ...

    Abstract In recent years, a great deal of attention has been paid to the Transformer network for speech recognition tasks due to its excellent model performance. However, the Transformer network always involves heavy computation and large number of parameters, causing serious deployment problems in devices with limited computation sources or storage memory. In this paper, a new lightweight model called Sim-T has been proposed to expand the generality of the Transformer model. Under the help of the newly developed multiplexing technique, the Sim-T can efficiently compress the model with negligible sacrifice on its performance. To be more precise, the proposed technique includes two parts, that are, module weight multiplexing and attention score multiplexing. Moreover, a novel decoder structure has been proposed to facilitate the attention score multiplexing. Extensive experiments have been conducted to validate the effectiveness of Sim-T. In Aishell-1 dataset, when the proposed Sim-T is 48% parameter less than the baseline Transformer, 0.4% CER improvement can be obtained. Alternatively, 69% parameter reduction can be achieved if the Sim-T gives the same performance as the baseline Transformer. With regard to the HKUST and WSJ eval92 datasets, CER and WER will be improved by 0.3% and 0.2%, respectively, when parameters in Sim-T are 40% less than the baseline Transformer.
    Keywords Computer Science - Sound ; Computer Science - Computation and Language ; Electrical Engineering and Systems Science - Audio and Speech Processing
    Subject code 006
    Publishing date 2023-04-11
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  3. Article: Large enhancement of discharge energy density of polymer nanocomposites filled with one-dimension core-shell structured NaNbO3@SiO2 nanowires

    Chen, Jianwen / Ye, Dagui / Wu, Xiaowei / Zhu, Wenbo / Wang, Xiucai / Xiao, Peng / Duan, Zhikui / Yu, Xinmei

    Composites. 2020 June, v. 133

    2020  

    Abstract: Design an architecture with the ability to improve breakdown strength has critical role to play for performance enhancement in energy storage capability. In this work, we report that the composite films with loaded with one dimension (1D) core-shell ... ...

    Abstract Design an architecture with the ability to improve breakdown strength has critical role to play for performance enhancement in energy storage capability. In this work, we report that the composite films with loaded with one dimension (1D) core-shell structured NaNbO3@SiO2 nanowires (NN@SiO2 NWs) are prepared and achieved significantly performance improvement in energy storage capability. The finite element simulation and experiment results both confirm the superiority of the 1D core-shell structured NN@SiO2 NWs in improving the energy density of the nanocomposite films. Especially, the nanocomposite films filled with 3 vol% NN@SiO2 NWs show a large discharged energy density of 12.1 J cm−3, which is ≈ 243% over the bare PVDF (4.98 J cm−3) and ≈ 1008% greater than biaxially oriented polypropylenes (BOPP) (≈ 1.2 J cm−3 at 640 MV m−1). Therefore, this nanocomposite film can be considered as potential high-performance dielectric materials for next-generation pulsed power capacitor applications.
    Keywords capacitors ; composite films ; energy ; energy density ; finite element analysis ; nanowires ; polymer nanocomposites ; polypropylenes ; silica ; thermoplastics
    Language English
    Dates of publication 2020-06
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2012223-8
    ISSN 1359-835X
    ISSN 1359-835X
    DOI 10.1016/j.compositesa.2020.105832
    Database NAL-Catalogue (AGRICOLA)

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