A5062201656- Gear and Bearing Dynamics Analysis
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Medical Imaging Techniques and Applications
- Radiation Detection and Scintillator Technologies
- Electromagnetic Compatibility and Noise Suppression
- Silicon Carbide Semiconductor Technologies
- Nuclear Physics and Applications
- Gas Sensing Nanomaterials and Sensors
- Image and Signal Denoising Methods
- Advanced Sensor and Control Systems
- Electric Motor Design and Analysis
- Engineering Diagnostics and Reliability
- Advanced Decision-Making Techniques
- SARS-CoV-2 and COVID-19 Research
- Advancements in Photolithography Techniques
- Multimodal Machine Learning Applications
- Network Security and Intrusion Detection
- Plasmonic and Surface Plasmon Research
- Digital Media Forensic Detection
- Acoustic Wave Phenomena Research
- Metamaterials and Metasurfaces Applications
- Advanced Antenna and Metasurface Technologies
- Electromagnetic Compatibility and Measurements
- Air Quality Monitoring and Forecasting
Huazhong University of Science and Technology
2022-2025
Anhui University of Science and Technology
2023
NARI Group (China)
2020-2022
Hebei University
2022
Beijing University of Technology
2021
Sichuan University
2020
West China Hospital of Sichuan University
2020
Beijing University of Posts and Telecommunications
2019
Jinan University
2019
Shandong University
2018
With the popularity of online opinion expressing, automatic sentiment analysis images has gained considerable attention. Most methods focus on effectively extracting sentimental features images, such as enhancing local through saliency detection or instance segmentation tools. However, a high-level abstraction, is difficult to accurately capture with visual element because “affective gap”. Previous works have overlooked contribution interaction among objects image sentiment. We aim utilize...
The typical inverse ECG problem is to noninvasively reconstruct the transmembrane potentials (TMPs) from body surface (BSPs). In study, can be treated as a regression with multi-inputs (body potentials) and multi-outputs (transmembrane potentials), which solved by support vector (SVR) method. order obtain an effective SVR model optimal accuracy generalization performance, hyperparameters of must set carefully. Three different optimization methods, that is, genetic algorithm (GA),...
This paper presents the development of a giant magnetostrictive actuator (GMA) with large displacement and fast response. An elliptical flexure hinge lever amplification structure is designed applied in GMA. The finite element method adopted for analyzing optimizing geometry. Furthermore, coil magnetic circuit are studied to improve driving system. Static dynamic performances GMA tested. As result, output ratio can be 2.68 times static test. performance testing indicates that achieve steady...
The core of fault diagnosis rolling bearing is to extract the narrowband sub-components containing feature information from signal. Variational mode extraction (VME), a novel single sub-component separation algorithm originated variational decomposition (VMD), provides promising solution detection. However, its performance closely related hyperparameter selection, including center frequency ω d and penalty factor α. This paper proposes non-recursive adaptive signal termed spectral (SVME)....
In this work, we experimentally confirmed an effective Lamb-wave guiding method, which utilizes a localized phononic cavity mode in 2D crystal. The crystal is created by periodic distribution of solid pillars built on elastic plate, while the induced replacing part hollow pillars. experiments, transmission characteristics Lamb-waves within waveguides are studied comprehensively. Elastic field distributions mapped deep-subwavelength regime. geometrical shapes, both straight waveguide and...
Background: Defect compensation is one of the enabling techniques for high-volume manufacturing using extreme ultraviolet lithography. Aim: The advanced evolution strategy algorithm based on covariance matrix adaption applied to optimization improve convergence efficiency and operability. Approach: optimizes solution population by sampling from self-adapted mutation distribution. Results: Optimization simulations three different masks validated algorithm’s advantage in searching ability...
Abstract Variational mode extraction (VME), inspired by variational decomposition (VMD), is a novel fault diagnosis technique that can efficiently extract narrowband modes from multi-component signals. Compared with VMD, VME more accurate and faster when extracting the component. However, preset center frequency ω c balance factor α seriously affect performance of VME. Therefore, spectral-coherence guided (SCVME), capable determining hyper-parameters automatically, proposed for rolling...
Accurate diagnosis of transformer faults can effectively improve the enduring reliability power grid operation.
The spatial resolutions of preclinical positron emission tomography (PET) imagers are largely determined by the size crystals. This study explores methods to construct PET detectors using crystals with ultrasmall cross Section for ultrahigh resolution. Three <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$16\times 16$ </tex-math></inline-formula> segmented LYSO: Ce crystal arrays were built different...
High frequency oscillations (HFOs) in intracranial electroencephalography (iEEG) recordings are a promising clinical biomarker that can help define the epileptogenic regions brain. The aim of this study is to characterize spatial and temporal distribution HFOs channel-wise instead event-level as usual develop an automated seizure onset zone (SOZ) identification by using support vector machine (SVM) approach on features short-term recording. In work, five consecutive patients with medically...
Abstract Synchrosqueezed wave packet transform (SSWPT) can effectively reconstruct the band-limited components of signal by inputting specific reconstructed boundaries, and it provides an alternative bearing fault diagnosis method. However, selection boundaries significantly affect feature extraction performance SSWPT. Accordingly, this paper presents a boundary division guiding SSWPT (BD-SSWPT) In method, adaptive method is developed to determine Firstly, marginal spectrum SSWPT, more...
Dual-layer-offset or multi-layer-offset design of a PET detector can improve spatial resolution while maintaining high sensitivity. In this study, three dual-layer-offset LYSO detectors with different reflectors (ESR, Toray, and BaSO4) were developed. The top layer consisted 17 × array crystals 1 6.5 mm3 in size the bottom an 18 9.5 size. Neither light guides nor optical glue used between two layers crystals. A custom-designed electronics system, composed 6 SiPM array, FPC cables, data...
In order to effectively identify the bearing running condition, this paper proposed a new method which combines local mean decomposition (LMD) and support vector machine (SVM) together for ball fault identification. Firstly, gathered vibration signals were decomposed into number of product functions (PFs) by LMD, with each PF corresponding an instantaneous amplitude (IA) signal frequency (IF) signal. Then, introduce concept characteristic ratios can be used construct feature vectors;...
An emergency frequency control strategy using demand response based on deep reinforcement learning is proposed. According to the system before and after fault, used predict amount of load shedding by trained prediction model. Firstly, genetic algorithm optimize multi-objective function optimal load-shedding fault target power grid. Q-learning establish action mapping relationship between response, so as obtain sample data. After training data convolutional neural network (CNN), a model...
The American Society of Infectious Diseases (IDSA) published the 2009 guidelines for diagnosis and treatment seasonal influenza, prior to H1N1 influenza pandemic.Since then, new rapid molecular diagnostic assays became available, drugs were approved use, many studies in patients with infection have been conducted.In December 2018, IDSA an update guidelines.This document addresses information regarding testing, chemoprophylaxis antiviral medications, issues related institutional outbreak...