Baoqing Zeng

A 2.45 GHz Low-Power Microwave Ablation-Assisted Drilling System with Tunable Impedance-Matching Structure

Qiang Yang, Rongjun Liu, Yifeng Jiang, Jianlong Liu et autres

This study proposes a 2.45 GHz low-power microwave drilling system for precise bone drilling near sensitive organs with a tunable parallel metal impedance-matching sleeve. The system is based on a quarter-wavelength coaxial resonant cavity integrated with a movable parallel impedance tuning sleeve, …

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SAD-SNN: Spatial-Activation Distillation for High-Performance Spiking Neural Networks

Chongxiao Qu, Qian Zhang, Chenxiao Dou, Xiaohu Li et autres

A Spiking Neural Network (SNN) is a kind of brain-inspired and event-driven network, which is becoming a promising energy-efficient alternative to Artificial Neural Networks (ANNs). In recent years, SNN methods have been successfully applied in the fields of electromagnetic signal processing and …

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Phase‐Controlled Zoned Microwave Heating in a Dual‐Port Solid‐State‐Driven Cavity System

Qiang Yang, Baoqing Zeng, Rongjun Liu, Jingrui Duan et autres

ABSTRACT Traditional microwave heating systems generally suffer from limited spatial controllability, making selective heating of different regions inside a resonant cavity difficult. To address this limitation, a dual‐port solid‐state microwave heating system based on phase‐controlled phased‐array technology for zoned microwave heating is …

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Frequency-Tunable Magnetron Using Barium Strontium Titanate Ceramics

Zheng Yang, Jun Liu, Zi Kang Tang, Kongyi Hu et autres

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High-efficiency compact millimeter-wave spatial harmonic magnetron with axial diffraction TEM output

Kongyi Hu, Tinghui Zhang, Wangsheng Pang, Jianlong Liu et autres

A compact Millimeter-Wave Spatial Harmonic Magnetron (SPHM) with Axially diffraction output (ADO) of the TEM mode is proposed. In this ADO configuration, a compact coupling structure is used to replace the cylindrical waveguide to decrease its radial dimension, to obtain an efficient …

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Impedance adaptive microwave drilling system based on a tunable cavity and frequency-agile solid-state source

Qiang Yang, Rongjun Liu, ZhiJianMuCuo Dong, Jun Liu et autres

This paper presents an adaptive impedance matching approach for efficient microwave drilling under dynamically varying loads. The proposed system integrates a mechanically tunable cavity with a frequency-agile solid-state source, extending the impedance matching range and improving power coupling efficiency. A dual-control strategy, …

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Nondestructive Automated Testing System for Industrial Thermionic Cathode Emission Based on Miram Curve

Dayang Wang, Jun Liu, He Pan, Wenjie Fu et autres

This article presents an automated, nondestructive characterization system that integrates machine vision and heterogeneous signal fusion to overcome the critical limitation of the conventional Miram curve method—its prohibitive testing time for industrial rapid testing applications. The system enables rapid and precise work …

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A High-Efficiency Microwave Power Combining System Based on a Tuned H–T Waveguide Tee

Dayang Wang, Jianlong Liu, Kongyi Hu, ZhiJianMuCuo Dong et autres

This brief presents a system for high-efficiency S-band magnetron microwave power combining based on the mutual synchronization mechanism (peer-to-peer locking mechanism) between magnetrons, which effectively addresses the issues of low efficiency and complex architecture in the existing magnetron microwave combining systems. The …

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Efficient degradation of tetracycline via iron(II,III) oxide nanoparticle-activated hydrogen peroxide: mechanisms and performance

Xu Cao, Kunlei Wang, Fei Long, Ping Zhang et autres

Abstract Magnetite-enriched mining tailings are a cost-effective and abundant catalytic material with inherent magnetic recyclability. Yet their practical application in catalysis is often constrained by their limited surface area and sluggish reaction kinetics. To address these issues, we developed a facile one-step …

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Development and Field Implementation of a Real-Time Hydraulic Fracturing Simulation and Optimization Platform

Jianfa Wu, Baoqing Zeng, Xuewen Shi, Haoyong Huang et autres

Abstract Hydraulic fracturing remains the primary technology enabling the economic development of unconventional shale and tight reservoirs. However, operational challenges—including sand blockages, fracture hits, casing deformation, and the lack of integrated real-time diagnostics—continue to limit efficiency and reliability, particularly in deep and …

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A crude oil price ensemble forecasting system based on outlier correction and adaptive error-compensation strategy

Wendong Yang, Weicheng Ma, Baoqing Zeng, Hao Yan

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Understanding Shale Gas Hydraulic Fracturing: AI-Powered Automatic Calibration for Fracture Geometries Quantification

Jianfa Wu, Baoqing Zeng, Haoyong Huang, Guanghai Zhong et autres

ABSTRACT: This study presents an integrated approach to optimize hydraulic fracturing and improve reservoir performance in deep shale gas reservoirs in the Sichuan Basin, China. The methodology combines geological modeling, hydraulic fracture simulations, and AI-driven history matching to quantify the effective fracture …

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