A5010314215- Cytomegalovirus and herpesvirus research
- Cellular Automata and Applications
- Chaos-based Image/Signal Encryption
- Iterative Learning Control Systems
- Machine Fault Diagnosis Techniques
- Power Systems and Technologies
- Fractal and DNA sequence analysis
- Adaptive Control of Nonlinear Systems
- Advanced Neural Network Applications
- Industrial Vision Systems and Defect Detection
- Smart Grid and Power Systems
- Muscle activation and electromyography studies
- Power Systems and Renewable Energy
- Vehicle Dynamics and Control Systems
- Technology and Security Systems
- Musculoskeletal pain and rehabilitation
- Medical Imaging and Analysis
- Gear and Bearing Dynamics Analysis
- Advanced Control Systems Optimization
- Energy Load and Power Forecasting
- Tribology and Lubrication Engineering
- Advanced Steganography and Watermarking Techniques
- Fault Detection and Control Systems
- Video Surveillance and Tracking Methods
- Frequency Control in Power Systems
Xinjiang University
2024-2025
Aiming at the problems of target detection models in traffic scenarios including a large number parameters, heavy computational burden, and high application cost, this paper introduces an enhanced lightweight real-time algorithm, which exhibits higher speed accuracy for vehicle detection. This considers YOLOv7 algorithm as benchmark model, designs backbone network, uses MobileNetV3 network to extract features. Inspired by structure SPPF, spatial pyramid pooling module is reconfigured...
Chronic low back pain (CLBP) is a common and refractory musculoskeletal disease, which seriously affects patients' work life. Electroacupuncture (EA) has become popular method for the treatment of CLBP due to its advantages high safety few side effects, but effect still controversial. One important reasons that individual differences make EA therapy not effective everyone. Through machine learning method, therapeutic prediction model was constructed from surface electromyography (sEMG) data...
This paper presents a digital image encryption scheme based on an amnesic super chaotic system. First, the performance of hyperchaotic system with addition memristor is analyzed, such as phase track map, Lyapunov exponential Pongalai cross-section, and other tests. The test results prove that has better hyper-chaotic properties. proposed in this generates initial value through SHA3-256 function to realize 'one one secret.' Chaotic sequences are generated by memristive used encrypt image....
Abstract To enhance the precision of trajectory tracking control in industrial robots, a nonlinear end-to-end sliding mode algorithm for robots based on dung beetle is proposed. By employing terminal to resolve issue inadequate performance and integrating optimizer (DBO) parameter adjustment, significant enhancements are achieved accuracy.
Abstract A layer multiplexing-based encrypted image scheme for DNA color images is proposed. Firstly, a memristor added to the Sprott-B chaotic system make it fourth-order memristorised hyper-chaotic system. The hyperchaotic has better pseudo-randomness. encryption proposed generates initial value of by SHA3-256 function achieve “One image, one secret”. sequence generated memory encrypting image. process includes zero complements, chunking, encryption, multiplexing, decryption, and improved...