Zhicheng Bao

ORCID: 0000-0002-2605-2007
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About
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Research Areas
  • Toxic Organic Pollutants Impact
  • Cognitive Computing and Networks
  • Advanced Data Compression Techniques
  • Microbial bioremediation and biosurfactants
  • Robotics and Automated Systems
  • Geochemistry and Elemental Analysis
  • Geochemistry and Geologic Mapping
  • Heavy metals in environment
  • Wireless Signal Modulation Classification
  • Reservoir Engineering and Simulation Methods
  • Water Quality Monitoring and Analysis
  • Advanced Steganography and Watermarking Techniques
  • Traffic Prediction and Management Techniques
  • Advanced Wireless Communication Technologies
  • Oil Spill Detection and Mitigation
  • Magnetic Bearings and Levitation Dynamics
  • Wireless Power Transfer Systems
  • Error Correcting Code Techniques
  • Technology and Security Systems
  • Material Properties and Processing
  • PAPR reduction in OFDM
  • Cultural Heritage Materials Analysis
  • Electric Motor Design and Analysis
  • Advanced Wireless Communication Techniques
  • Oil and Gas Production Techniques

Beijing University of Posts and Telecommunications
2024-2025

State Key Laboratory of Networking and Switching Technology
2024

China University of Petroleum, East China
2022

Harbin Institute of Technology
2020

Hunan Normal University
2012-2018

Research Center for Eco-Environmental Sciences
1997-2001

Chinese Academy of Sciences
1997-2001

In the conventional flux reversal permanent magnet (FRPM) machine, half of magnets (PMs) produce leakage at each operation moment, which results in poor utilization magnets. order to improve magnetic FRPM this article proposes a novel consequent-pole machine topology with Halbach array top rotor slot, where slot are employed guide into teeth reduce flux. Therefore, compared proposed counterpart exhibits larger back-electromotive force (back EMF) and torque density. article, structure...

10.1109/tmag.2020.3007861 article EN IEEE Transactions on Magnetics 2020-07-08

10.1109/tvt.2024.3456099 article EN IEEE Transactions on Vehicular Technology 2024-01-01

Nowadays, the need for high-quality image reconstruction and restoration is more urgent. However, most transmission systems may suffer from quality degradation or interruption in face of interference such as channel noise link fading. To solve this problem, a relay communication network semantic based on shared feature extraction hyperprior entropy compression (HEC) proposed, where technology Pearson correlation proposed to eliminate partial extracted latent feature. In addition, HEC used...

10.1109/jiot.2024.3352737 article EN IEEE Internet of Things Journal 2024-01-11

10.1007/s001289900448 article EN Bulletin of Environmental Contamination and Toxicology 1997-07-01

Abstract Enhancement of biodegradability polychlorinated dibenzo-p-dioxins (PCDDs) was studied with new isolated bacterial strains from soil and oxic-sediments contaminated by PCDDs. The results indicated that mono- di-chlorinated could be utilized as a sole carbon source degraded strains, but tri-chlorinated dibenzo-p-dioxin (TrCDD) hardly degraded. TrCDD tetra-chlorinated (TCDD) the strain Pseudomonas sp. EE41, one, enhanced through primary nutrient co-metabolism o-dichlorobenzene (o-DCB)....

10.1081/ese-100106244 article EN Journal of Environmental Science and Health Part A 2001-09-30

Endogenous intelligence has emerged as a crucial aspect of next-generation communication networks. This concept is closely intertwined with artificial (AI), its primary components being data, algorithms, and computility. Data collection remains critical concern that warrants focused attention. To address the challenge data expansion forwarding, intellicise router proposed. It extends local dataset continuously enhances model through specifically crafted algorithm, which AI performance,...

10.1109/tmlcn.2024.3432861 article EN cc-by-nc-nd IEEE Transactions on Machine Learning in Communications and Networking 2024-01-01

10.1109/icccs61882.2024.10603189 article EN 2022 7th International Conference on Computer and Communication Systems (ICCCS) 2024-04-19

10.1109/iccc62609.2024.10942197 article EN 2021 7th International Conference on Computer and Communications (ICCC) 2024-12-13

Multi-source data fusion is widely utilized to enrich the dataset for artificial intelligence methods. However, it also suffers limitation that samples should have same format and can not be applied some tasks where input has a different dimension. In case of dividing coefficients evaluation on water well, number injection layers variable based general plan field. No exiting methods learn with dynamic format. order address this challenge, we propose an intelligent splitting method temporal...

10.1109/cscwd54268.2022.9776107 article EN 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2022-05-04
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