Zhengcong Du

Simulation and analysis of deformable mirror driven by piezoelectric actuator array

Yixv Zhao, Lianghua Wen, Guochun Liu, Zhengcong Du et autres

Adaptive optics (AO) is the key technology to correct wavefront aberrations. An adaptive optics system is composed of a wavefront sensor, a controller, and a wavefront corrector. Deformable mirror (DM) is the most popular wavefront corrector, which determines the effect of wavefront …

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NA-YOLO: an enhanced anti-UAV detection network for complex scenarios based on YOLO11

Rui Song, Zhengcong Du, Lianghua Wen, Jiahao Ma et autres

The issues about security and privacy caused by the misuse of unmanned aerial vehicles (UAVs) have attracted increasing attention. Rapid and accurate UAV detection in complex scenarios has become critical for anti-UAV missions. This paper proposes an enhanced model for UAV detection …

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Numerical study of bidirectional heat transfer enhancement on an extruded tube with dimples and protrusions

Honggang He, Zhengcong Du, Jiyu Zheng

Bidirectional heat transfer enhancement is of great importance for simultaneously enhancing the heat transfer in the tube side and shell side. In this paper, an extruded tube with dimples and protrusions (EXTDP) is proposed, and the thermo-hydraulic performance is analyzed numerically. The …

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PSO-based imaging restoration method for diffraction imaging systems

Can Li, Lianghua Wen, Guochun Liu, Zhengcong Du et autres

Membrane diffraction imaging is one of the most widely used imaging technologies today, which offers the advantages such as lightweight design, large aperture, foldability, and low cost. However, the system imaging quality degrades because of the multiple order diffraction generated by the …

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Performance Analysis of Explainable Deep Learning-Based Intrusion Detection Systems for IoT Networks: A Systematic Review

Taiwo Blessing Ogunseyi, Gogulakrishan Thiyagarajan, Honggang He, Vinay Bist et autres

The opaque nature of black-box deep learning (DL) models poses significant challenges for intrusion detection systems (IDSs) in Internet of Things (IoT) networks, where transparency, trust, and operational reliability are critical. Although explainable artificial intelligence (XAI) has been increasingly adopted to enhance …

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Hybrid Droop-Enhanced Virtual Impedance Control for Circulating Current Mitigation and Power Balancing in Parallel SiC Three-Phase Inverters

Chaoyang Zhang, Zhengcong Du, Yipu Xu, Yi Shi et autres

Silicon carbide (SiC) three-phase converters are widely adopted in parallel power distribution systems for their high efficiency, yet their performance is challenged by high switching frequency and communication constraints. For the parallel inverter system, problems such as uneven power distribution and circulating …

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Characteristic Frequency Extraction of Mechanical Fault Based on Cyclic Bispectrum Slice Method

Daiqiong Wen, Qing Li, Lianghua Wen, Zhengcong Du

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Enhancing Image Denoising with Eight-Neighborhood Edge Feature Fusion and Gaussian Blur

Guiyu Zhou, Zhengcong Du, Jing He, Qinghao Li et autres

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Capacitive-Load-Oriented Bipolar HV GaN Buck Converter Design with Adaptive Control Implementation

Yipu Xu, Jimmy C. Yu, Yalei Yuan, Zhengcong Du et autres

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Multimodal Fusion Pedestrian Detection Algorithm Based on Improved YOLOv3

Jiatong Deng, Zhengcong Du, Wenjun Chen, Yipu Xu et autres

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Impact of High-Frequency Distributed Parametric Cable Model and Motor Overvoltage with SiC Inverter

Yipu Xu, Junjie Peng, Zhengcong Du, Longfei Wen et autres

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Simulation and Performance Analysis of FZP Diffraction Imaging System

Can Li, Guochun Liu, Zhengcong Du, Jiaxun Li et autres

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