A5061558275- Engineering Diagnostics and Reliability
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Topic Modeling
- Advanced Image Processing Techniques
- Gear and Bearing Dynamics Analysis
- Advanced Malware Detection Techniques
- E-commerce and Technology Innovations
- Advanced Image Fusion Techniques
- Liver Disease Diagnosis and Treatment
- Educational Technology and Assessment
- Innovative Educational Techniques
- Network Security and Intrusion Detection
- Natural Language Processing Techniques
- Education and Learning Interventions
- Mechanical Failure Analysis and Simulation
- Information and Cyber Security
- Birth, Development, and Health
- Remote Sensing and LiDAR Applications
- Multimedia Communication and Technology
- Anomaly Detection Techniques and Applications
- Network Packet Processing and Optimization
- Advanced Vision and Imaging
- Adipose Tissue and Metabolism
- Advanced Graph Neural Networks
Shanghai Electric (China)
2023-2024
Huashan Hospital
2023
Fudan University
2023
National Institute for Communicable Disease Control and Prevention
2023
Zhengzhou University
2017-2020
Academy of Military Transportation
2017-2018
Henan University of Engineering
2017
Zoucheng People's Hospital
2010
The diesel engine is a complex mechanical device, with the characteristics of multi-source, multi moving parts, work. For multi-component signal, it usually necessary to decompose into number single-component AM-FM signals, and each component analyzed extract amplitude frequency information. VMD essentially composed plurality adaptive Wiener filter has good noise robustness. Compared EMD, EEMD, CEEMDAN, LMD ITD, strong mathematical theory basis. At same time, rejects method recursive...
Variational mode decomposition (VMD) is a recently introduced adaptive signal algorithm with solid theoretical foundation and good noise robustness compared empirical (EMD). There lot of background in the vibration diesel engine. To solve problem, denoising based on VMD Euclidean Distance proposed. Firstly, multi-component, non-Gauss, noisy simulation established, decomposed into given number K band-limited intrinsic functions by VMD. Then distance between probability density function each...
The task of relation classification is an important pre-task in natural language processing tasks. Relation can provide a high-quality corpus for tasks such as machine translation, human–computer dialogue, and structured text generation. In the process digitalization standards, identifying entity relationship standard prerequisite formation subsequent knowledge. Only by accurately labeling between entities there be higher efficiency accuracy knowledge bases maps. This study proposes...
Variational mode decomposition (VMD) is a recently introduced adaptive signal algorithm with solid theoretical foundation and good noise robustness compared empirical (EMD). There lot of background in the vibration diesel engine. To solve problem, denoising based on VMD Euclidean Distance proposed. Firstly, multi-component, non-Gauss, noisy simulation established, decomposed into given number K band-limited intrinsic functions by VMD. Then distance between probability density function each...
The vibration signal of the engine contains strong background noise and many kinds modulating components, which is difficult to diagnose. Variational mode decomposition (VMD) a recently introduced adaptive algorithm with solid theoretical foundation good robustness compared empirical (EMD). VMD can effectively avoid endpoint effect modal aliasing. However, cannot eliminate random in signal, so decrement technique solve problem. Based on crankshaft bearing fault simulation experiment, four...
Repackaging applications as the main carrier of Android malware have caused huge losses to users. In addition, third-party application market that rely on is characterized by missing audits and lax supervision, which further encourages distribution repackaged applications. Most traditional repackaging detection approaches need a platform passively determine whether or not repackaged, has high false negative rate. order solve problem, this paper proposes an active approach for code repacking....
Objectives. The rapidly evolving organ failure and high short-run mortality of acute-on-chronic liver (ACLF) are inseparable from the role systemic inflammatory response. S100A8 S100A9 associated with excessive cytokine storm play a decisive part within process inflammation. We aimed to clarify them in predicting prognosis hepatitis B virus-related ACLF (HBV-ACLF). Methods. levels were analyzed plasma 187 transplant-free HBV-ACLF patients, 28 healthy controls 40 chronic (CHB) patients. mRNAs...
Motivated by the nation’s policy of Tri-networks integration, maturity technology platform, and user’s demand, more enterprises start to launch research smart TV. In order offer reference other TV enterprisers, status industry is presented in this thesis. The mode operation profitable Le TV·super TV, also discussed , as well underlying problems during its development.
A method based on order tracking and Variational Mode Decomposition was proposed to solve the problem of non-stationarity background noise in vibration signal engine. For diesel engine crankshaft bearing fault Connecting rod gasoline engine, non-stationary time domain converted into a pseudo stationary angular tracking. Then reconstructed decomposed by several components VMD, component that contains information selected. The three-dimensional spectral array order, speed power spectrum...
In diesel engine fault diagnosis, non-stationary vibration signal is easily disturbed by strong noise. view of the shortcomings empirical mode decomposition (EMD) and wavelet transform in de-noising, a de-noising method proposed, which Empirical Wavelet Transform (EWT) autocorrelation analysis. Taking advantages EMD transform, Fourier spectrum adaptively divided EWT, intrinsic components different frequency are extracted through constructed filter, can effectively eliminate modal aliasing...
Existing satellite remote sensing images are often used to observe the fuzzy phenomenon of transmission line bodies. It is necessary enhance super-resolution, but traditional superresolution technology difficult obtain rich details and edge information towers. This paper proposes a multiscale enhancement method combining multi-map residual convolutional neural network wavelet transform solve these problems. Specifically, we first use directly take low-resolution image as initial input...
Abstract The data point target on the satellite remote sensing image of transmission line is restricted by imaging equipment and conditions, which makes it difficult to guarantee clarity line. Image super-resolution technology aims recover high-resolution images from low-resolution improve detailed information itself, great significance for intelligent inspection hidden danger monitoring. Aiming at problems traditional methods relying multi-frame sequences reconstruction results are too...