A5100711130- Optical Network Technologies
- Advanced Photonic Communication Systems
- RFID technology advancements
- Advanced Fiber Laser Technologies
- Indoor and Outdoor Localization Technologies
- Ecology and Conservation Studies
- Structural Load-Bearing Analysis
- Photonic and Optical Devices
- Vehicle License Plate Recognition
- Neural Networks and Reservoir Computing
- Advanced Computational Techniques and Applications
- Video Surveillance and Tracking Methods
- graph theory and CDMA systems
- Image Processing Techniques and Applications
- Underwater Vehicles and Communication Systems
- Hydraulic Fracturing and Reservoir Analysis
- Radio Wave Propagation Studies
- Mobile Crowdsensing and Crowdsourcing
- Insect behavior and control techniques
- Hydrocarbon exploration and reservoir analysis
- Protein Degradation and Inhibitors
- Energy, Environment, and Transportation Policies
- Seismic Imaging and Inversion Techniques
- Anaerobic Digestion and Biogas Production
- IoT and GPS-based Vehicle Safety Systems
Ministry of Education of the People's Republic of China
2022-2025
Air Force Medical University
2025
Nantong University
2024
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
Hangzhou Children's Hospital
2024
Northwest University
2022-2024
China Railway Construction Corporation (China)
2023
Research Institute of Petroleum Exploration and Development
2023
University of Chinese Academy of Sciences
2019-2023
An intelligent eye-diagram analyzer is proposed to implement both modulation format recognition (MFR) and optical signal-to-noise rate (OSNR) estimation by using a convolution neural network (CNN)-based deep learning technique. With the ability of feature extraction self-learning, CNN can process eye diagram in its raw form (pixel values an image) from perspective image processing, without knowing other parameters or original bit information. The images four commonly-used formats over wide...
A powerful machine learning detector based on the k-nearest neighbors (KNN) algorithm is proposed to overcome system impairments. The zero-dispersion link (ZDL), dispersion managed (DML), and unmanaged (DUL) are considered. Meanwhile, an improved algorithm, distance-weight KNN, introduced, which outperforms conventional maximum likelihood-post compensation approach. numerical results show that KNN feasible for overcoming various impairments, especially non-Gaussian symmetric noise, such as...
Based on structural distribution and fault characteristics of the Luzhou block, southern Sichuan Basin, as well microseismic, logging in-situ stress data, casing deformation behaviors deep shale gas wells are summarized, mechanism influencing factors identified. Then, risk assessment chart is plotted, measures for preventing controlling proposed. Fracturing-activated slip a main factor causing in block. In working area, approximate fracture angle primarily 10°–50°, accounting 65.34%,...
Web scraping, an automated tool for extracting and analyzing large amounts of data from websites social media platforms, has become essential practice researchers policymakers. This paper examines the application web scraping technology to monitor public sentiment towards environmental policies. In age where digital platforms are crucial discourse, governments have increasingly utilised real-time monitoring. approach presents considerable ethical dilemmas, especially with user privacy...
By discussing the difference, stability and classification ability of tumor contour extracted by artificial intelligence doctors, can a more stable method extraction be obtained? We propose novel framework for automatic segmentation lung contours differential diagnosis downstream tasks. This integrates four key modules: segmentation, radiomic features, feature selection, development diagnostic models clinical applications. Using this framework, we conducted study involving cohort 1,429...
Abdominal aortic aneurysm (AAA) is a life-threatening disorder with limited therapeutic options. Neutrophil extracellular traps (NETs) are formed by process known as "NETosis" that has been implicated in AAA pathogenesis, yet the roles and prognostic significance of NET-related genes remain poorly understood. This study aimed to identify key AAA- (AAA-NETs-RGs), elucidate their potential mechanisms contributing AAA, explore compounds for therapy. Through bioinformatics analysis multiomics...
Different conditions, such as occlusions, changes of lighting, shadows and rotations, make vehicle type classification still a challenging task, especially for real-time applications. Most existing methods rely on presumptions certain lighting conditions special camera settings. However, these usually do not work applications in real world. In this paper, we propose robust method based adaptive multi-class Principal Components Analysis (PCA). We treat car images captured at daytime...
An effective bit-based support vector machine (SVM) is proposed as a non-parameter nonlinear mitigation approach in the millimeter-wave radio-over-fiber (RoF) mobile fronthaul (MFH) system for various modulation formats. First, we analyze impairments originated from nonlinearities RoF system. Then introduce operation principle of SVM detector. As classifier, can create decision boundaries by kernel function to mitigate distortions caused both linear and noise. In our design, learn capture...
A scheme for optical encryption/decryption of an eight-phase-shift keying (8PSK) signal is proposed, and this applies modified XOR gates based on four-wave mixing (FWM) in a semiconductor amplifier (SOA). Theoretical analyses simulations are conducted. Both the performance parameter design 40-Gbit/s all-optical system under various key parameters studied. The results useful designing complex modulated signals.
The relationship between fracture calcite veins and shale gas enrichment in the deep Ordovician Wufeng Formation–Silurian Longmaxi Formation (Wufeng–Longmaxi) shales southern Sichuan Basin was investigated through core thin section observations, cathodoluminescence analysis, isotopic geochemistry fluid inclusion testing, basin simulation. Tectonic mainly undulating part of structure non-tectonic are formed gentle structure. latter, induced by hydrocarbon generation, occurred at stage peak...
Packaging appearance is extremely important in cigarette manufacturing. Typically, there are two types of packaging defects: (1) laying defects such as incorrect numbers and irregular layout; (2) tin paper handle folded handles. In this paper, an automated vision-based defect inspection system designed for cigarettes packaged containers. The first type inspected by counting the number a container. First k-means clustering performed to segment regions. After noise filtering, valid regions...
Gastric cancer (GC) remains a major global health threat ranking as the fifth most prevalent cancer. Hypoxia, characteristic feature of solid tumors, significantly contributes to malignant progression GC. Mitochondria are target hypoxic injury that promotes mitochondrial dysfunction during development cancers including However, gene signature and prognostic model based on hypoxia- dysfunction-related genes (HMDRGs) in prediction GC prognosis have not yet been established.
Through FWM in our fabricated QD-SOA and without additional pumps, three 1-to-3 WDM multicasts XOR logic gates are simultaneously realized for 10 Gbps NRZ-DPSK signals. The error-free performance is achieved all of the signals power penalties < 1.3 dB at BER 10−9.
Three-dimensional point cloud data generally contain complex scene information and diversified category structures. Existing semantic segmentation networks tend to learn feature between sampled center points their neighboring points, while ignoring the scale structural of spatial context points. To address these issues, this paper introduces PointNAC (PointNet based on normal vector attention copula enhancement), a network designed for in large-scale scenes, which consists following two main...
Abstract Based on the Timoshenko beam element model in finite theory and lumped mass method, meshing dynamics equation of helical gears was established considering time-varying stiffness gears, tooth side clearance, bearing support other factors, nonlinear gear-rotor-bearing system established. Through analysis model, stiffness, backlash influence for vibration characteristics, studies have shown that purpose this article effect to stability main reducer transmission, noise parameter...
Space manipulators play an important role in the on-orbit services and planetary surface operation. In extreme environment of space, space are susceptible to a variety unknown disturbances. How have resilient guarantee failure or disturbance is core capability its future development. Compared with traditional motion planning, learning-based planning has gradually become hot spot current research. However, no matter what kind research ideas, single robotic manipulator studied as independent...