Tao Zuo

ORCID: 0000-0003-4918-0455
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About
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Research Areas
  • Microwave Engineering and Waveguides
  • Advanced Measurement and Detection Methods
  • Advanced Algorithms and Applications
  • Robotics and Sensor-Based Localization
  • Infrared Target Detection Methodologies
  • Semiconductor Lasers and Optical Devices
  • Advanced Sensor and Control Systems
  • Optical Wireless Communication Technologies
  • Advanced Antenna and Metasurface Technologies
  • Acoustic Wave Resonator Technologies
  • Industrial Technology and Control Systems
  • Embedded Systems and FPGA Design
  • Robotic Path Planning Algorithms
  • Target Tracking and Data Fusion in Sensor Networks
  • Topic Modeling
  • Optical Systems and Laser Technology
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Advanced Computational Techniques and Applications
  • Radio Frequency Integrated Circuit Design
  • Gyrotron and Vacuum Electronics Research
  • Environmental and Agricultural Sciences
  • Aluminum Alloys Composites Properties
  • Photonic and Optical Devices
  • Indoor and Outdoor Localization Technologies

Faculty (United Kingdom)
2025

Engineering (Italy)
2025

China University of Geosciences
2023-2025

Inner Mongolia Agricultural University
2025

Wuhan University of Science and Technology
2010-2024

University of Science and Technology Liaoning
2024

Hefei Cement Research Design Institute
2010-2022

Xi'an Jiaotong University
2021

China Electronics Technology Group Corporation
2008-2019

General Research Institute for Nonferrous Metals (China)
2013-2015

WiFi is widely used for indoor positioning because of its advantages such as long transmission distance and ease use indoors. To improve the accuracy robustness fingerprint localization technology, this paper proposes a system CCPos (CADE-CNN Positioning), which based on convolutional denoising autoencoder (CDAE) neural network (CNN). In offline stage, applies K-means algorithm to extract validation set from all-training set. online RSSI first denoised key features are extracted by CDAE....

10.3390/s21041114 article EN cc-by Sensors 2021-02-05

Most of the current visual Simultaneous Localization and Mapping (SLAM) algorithms are designed based on assumption a static environment, their robustness accuracy in dynamic environment do not behave well. The reason is that moving objects scene will cause mismatch features pose estimation process, which further affects its positioning mapping accuracy. In meantime, three-dimensional semantic map plays key role mobile robot navigation, path planning, other tasks. this paper, we present...

10.1155/2021/5538840 article EN Mathematical Problems in Engineering 2021-04-08

Ecosystem service research is essential to identify the contribution of ecosystem human welfare. As an important ecological barrier zone, Kubuqi Desert supports use a crucial wind erosion prevention (WEPS) improve environment quality. Based on Revised Wind Erosion Equation (RWEQ) model, spatial and temporal changes WEPS in region were simulated from 2000 2022, impacts interactions natural socio-economic factors including numerical typological variables pattern sand control services analyzed...

10.1371/journal.pone.0321260 article EN cc-by PLoS ONE 2025-05-06

In indoor highly dynamic scenes or with missing a priori information, most current schemes cannot effectively avoid the impact of moving objects on performance SLAM (Simultaneous Localization and Mapping) systems. order to solve problem accurate localization map building for mobile robots in environments, we propose RGB-D visual dense method based pyramidal L-K (Lucas-Kanade) optical flow multi-view geometric constraints. Our proposed consists three stages: object culling, camera position...

10.1109/access.2024.3374523 article EN cc-by-nc-nd IEEE Access 2024-01-01

We propose a new SLAM method based on fast simultaneous localization and mapping (FastSLAM). The technique presented uses an improved quantum-behaved particles swarm optimization (QPSO) to improve the proposal distribution of optimize estimated particles. This makes sampled closer true pose robot improves estimation accuracy poses landmarks. In QPSO algorithm, Gaussian disturbance is added increase diversity By using this premature convergence overcome. resample step, threshold value used...

10.1155/2018/1596080 article EN Mathematical Problems in Engineering 2018-01-01

This paper presents the design of a linear phase superconducting filter with quasi-elliptic response. The coupling structure contains two trisections and one quadruplet. are applied to generate independent transmission zeros for high selectivity realized by meandered open-loop microstrip resonators; quadruplet is equalization four novel L-shaped resonators. designed at 1950 MHz bandwidth 20 MHz. It fabricated on LaAlO3 wafer double-coated Tl2Ba2CaCu2O8 films. shows good together flat group...

10.1088/0953-2048/21/6/065018 article EN Superconductor Science and Technology 2008-04-03

In this paper, a 30 dB broadband microstrip directional coupler is designed by using discrete coding type coupling structure with co-simulation technique. Combined the proposed hybrid binary particle swarm genetic optimization algorithm (HBPSGOA) and carefully fitness function, can provide satisfactory flexibility excellent performance. For fixed design space, space firstly be encoded mapped to corresponding matrix, then optimal matrix searched HBPSGOA will used high directivity. The...

10.1002/mmce.23509 article EN International Journal of RF and Microwave Computer-Aided Engineering 2022-10-21

This article is concerned with the prediction of time delays and a control method for networked systems (NCSs). We propose to predict network-induced online least squares support vector machines (LSSVM) optimized by particle swarm optimization (PSO). Then self-tuning proportional–integral–derivative (PID) variable adopted in NCSs. The recursive (RLS) used identify parameters controlled objects, which can adapt changes dynamic models. Simulations verified excellent performance network delay...

10.1177/0142331216636189 article EN Transactions of the Institute of Measurement and Control 2016-03-16

Self-constructing feedback fuzzy neural network controller (SCFFNNC) is designed to aim at the parameter uncertainties for permanent magnet linear synchronous motor (PMLSM) since they cause negative influence dynamic performance of PMLSM servo system. The thought about self-constructing, in which number neurons whole structure can be able increase on line according variety error, introduced based combining non-linear identification control with self-learning network. It reserve abilities,...

10.1109/ccdc.2009.5192880 article EN Chinese Control and Decision Conference 2009-06-01

10.1007/s11432-008-0085-2 article EN Science in China Series F Information Sciences 2008-06-21

A quadruple-mode dual-wideband filter is proposed in this paper. The cavity resonator consists of two symmetrical conductive posts and a pair downward pointing L-shaped coupling probes cylindrical metal cavity, while four resonant modes the are classified as TM11 mode, TM01 mode degenerate TE (TE+ TE− mode). Successful excitation attributed to probes. first wide-passband realized by second achieved TE+ mode. Finally, designed, fabricated measured. measurements good agreement with...

10.1002/mmce.22665 article EN International Journal of RF and Microwave Computer-Aided Engineering 2021-05-07

This paper presents an edge vision SLAM system based on bilateral filtering and adaptive thresholding. is a complete including visual odometry, sliding window optimization, cyclic closure that can be built out of semi-dense maps. At the heart approach use thresholding to retain as much information possible combine images with depth mapping for joint camera pose estimation, further increasing stability in poorly textured environments. The front-end odometry module estimates relative motion...

10.1109/icipca59209.2023.10257928 article EN 2023-08-11
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