Search Results - "Wanang Xiao"

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  1. 1

    EBCache: A novel cache-based mechanism for mitigating the spectre attacks for RISC-V processor by Dehua, Wu, Wan'ang, Xiao, Wanlm, Gao

    Published in China communications (2024)
    “…The cache-based covert channel is one of the common vulnerabilities exploited in the Spectre attacks. Current mitigation strategies focus on blocking the…”
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    Journal Article
  2. 2

    A novel cache based on dynamic mapping against speculative execution attacks by Wu, Dehua, Xiao, Wan’ang, Gao, Shan, Gao, Wanlin

    Published in MATEC Web of Conferences (2022)
    “…The Spectre attacks exploit the speculative execution vulnerabilities to exfiltrate private information by building a leakage channel. Creation of a leakage…”
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    Journal Article Conference Proceeding
  3. 3

    A novel method for on-chip debugging based on RISC-V processor by Gao, Shan, Wu, Dehua, Xiao, Wan’ang, Wang, Zetao, Yang, Zhenghong, Gao, Wanlin

    Published in MATEC web of conferences (2022)
    “…An on-chip debugging method based on the RISC-V processor is introduced, which simplifies the complicated debugging operation into instructions and improves…”
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    Journal Article Conference Proceeding
  4. 4

    The State-of-the-Art Phase-Change Integrated Photonic Devices With Electrically Driven Microheaters by Wen, Jing, Jiang, Jiyuan, Ma, Jinyong, Feng, Shuqing, Gong, Qingkun, Xiao, Wanang, Lian, Xiaojuan, Wang, Lei

    Published in IEEE transactions on electron devices (01-02-2024)
    “…Phase-change integrated photonics devices, evolving from the combinations of phase-change materials (PCMs) and silicon photonics, are subjecting to intensive…”
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    Journal Article
  5. 5

    Architecture Characteristics and Technical Trends of UHF RFID Temperature Sensor Chip by Chu, Qi, Tao, Sha, Xiao, Wan’ang, Cai, Qiang, Gao, Wanlin, Jia, Jingdun, Wu, Dehua, Zhang, Guofeng, Yu, Lina

    Published in Active and passive electronic components (01-01-2018)
    “…The integration of temperature sensor (TS) and UHF RFID technology has attracted wide attention theoretically and experimentally. The architecture, power…”
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    Journal Article
  6. 6

    A Fast and Universal RFID Tag Anti-Collision Algorithm for the Internet of Things by Zhang, Guofeng, Tao, Sha, Xiao, Wan'Ang, Cai, Qiang, Gao, Wanlin, Jia, Jingdun, Wen, Juan

    Published in IEEE access (2019)
    “…To address the problems of high computational complexity, inflexible frame length adjustment, and sub-optimal system efficiency of the RFID tag anti-collision…”
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    Journal Article
  7. 7

    A New Frequency Offset Estimation for OFDM-Based Systems by Zhi Fang, Wanang Xiao, YinShi

    “…A new carrier frequency offset estimation scheme in orthogonal frequency division multiplexing (OFDM) is proposed. The scheme includes coarse frequency offset…”
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    Conference Proceeding
  8. 8

    A Power-saving Scheme for IEEE 802.11 Ad hoc Networks by Xiao Wanang, Fang Zhi, Shi Yin

    “…In the wireless local area networks (WLANs), the terminals are often powered by battery, so the power-saving performance of the wireless network card is a very…”
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    Conference Proceeding
  9. 9

    A two-step backoff scheme for improving the performance of the IEEE 802.11 distributed coordination function by Wanang Xiao, Yin Shi

    “…This paper describes the binary exponential backoff mechanism of 802.11 distributed coordination function (DCF), and introduces some methods of modifying the…”
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    Conference Proceeding
  10. 10

    Optimization and hardware implementation of noise reduction algorithm for low‐power audio chip by Wang, Ang, Yu, Lina, Lan, Yuyan, Zhou, Weixin, Xiao, Wan'ang

    Published in Concurrency and computation (20-01-2022)
    “…In order to improve the voice quality and decrease the power consumption of the audio electronic products, the noise reduction algorithm and its low‐power…”
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    Journal Article
  11. 11

    FPGA Implementation of CNN-LSTM Classifier in Speech Emotion Recognition System by Gao, Zhaogang, Xiao, Wan'ang, Zhou, Weixin, Yang, Zhenghong

    “…Speech emotion recognition is a key technology within the field of human-computer interaction, which equips computers with the ability to recognize and…”
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    Conference Proceeding
  12. 12

    A Low Voltage and Ultra-low Power Reference Circuit for Passive UHF RFID Tag Chip by Hou, Zhiwen, Xiao, Wan'ang, Zhou, Weixin, Wang, Ang

    “…This paper describes a low voltage and ultra-low power reference circuit to generate voltage reference and current reference for passive UHF RFID tag chip…”
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    Conference Proceeding
  13. 13

    A Heart Sound Diagnosis Processing Unit Based on LSTM Neural Network by Zhou, Weixin, Wang, Ang, Yu, Lina, Xiao, Wan'Ang

    “…Cardiovascular disease is the deadliest disease in the world, so prevention and diagnosis of cardiovascular disease are essential. Manual auscultation cannot…”
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    Conference Proceeding
  14. 14

    A Cordic-based Acceleration Method On FPGA For CNN Normalization layer by Cao, Yongxiang, Xiao, Wan'ang, Jia, Jingdun

    “…This paper studies the accelerated method used by FPGA to implement the Alexnet Normalization layer, a classic network of the classical network. This paper…”
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    Conference Proceeding
  15. 15

    Analysis and Low-power Hardware Implementation of a Noise Reduction Algorithm by Wang, Ang, Yu, Lina, Lan, Yuyan, Zhou, Weixin, Xiao, Wan'Ang

    “…In order to reduce noise and power consumption of audio electronic products, audio noise reduction and its low- power hardware implementation is studied…”
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    Conference Proceeding
  16. 16

    Design and Implementation of Feedback Cancellation Algorithm for Hearing Aids by Lan, Yuyan, Wang, Ang, Zhou, Weixin, Xiao, Wan'ang

    “…This paper presents the optimization idea, hardware implementation architecture and low power optimization process of feedback cancellation algorithm applied…”
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    Conference Proceeding
  17. 17

    Cordic-based Softmax Acceleration Method of Convolution Neural Network on FPGA by Cao, Yongxiang, Xiao, Wan'ang, Jia, Jingdun, Wu, Dehua, Zhou, Weixin

    “…With the vigorous development of computing power, Convolutional Neural Network (CNN) is developing rapidly, and new CNN structures with more layers and better…”
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    Conference Proceeding