A5008600220- Industrial Technology and Control Systems
- Advanced Algorithms and Applications
- Assembly Line Balancing Optimization
- Optical measurement and interference techniques
- Genetic diversity and population structure
- Music and Audio Processing
- Control Systems and Identification
- Image Processing Techniques and Applications
- Neural Networks Stability and Synchronization
- Nuts composition and effects
- Chromosomal and Genetic Variations
- Stability and Control of Uncertain Systems
- Sentiment Analysis and Opinion Mining
- Industrial Vision Systems and Defect Detection
- HVDC Systems and Fault Protection
- Fault Detection and Control Systems
- Cognitive Abilities and Testing
- Advanced Computational Techniques and Applications
- High-Voltage Power Transmission Systems
- Advanced Sensor and Control Systems
- Advanced Vision and Imaging
- Matrix Theory and Algorithms
- Advanced Manufacturing and Logistics Optimization
- Advanced Control Systems Optimization
- Emotion and Mood Recognition
State Intellectual Property Office
2024
Dalian University
2023
Nantong Science and Technology Bureau
2011
Changsha University of Science and Technology
2009
Nankai University
2004
The high capacity and long-distance transmission ability are the major advantages of voltage DC system using Line Commutated Converter, which makes it one approaches in our country. However, single-time or consecutive commutation failures during AC fault main drawbacks HVDC LCC valve, severely affecting normal operation power transmission. In this case, a new type controllable line commutated converter (CLCC), is embedded with electronics IGBT forcing commutation, applied to avoid failure,...
Motor fault diagnosis is important in industrial and agricultural production. Many methods have been employed to solve this problem. A novel method for motor proposed paper, which adopts the wavelet neural network applies improved genetic algorithm optimize initial parameters of network. The results training testing show that effective available
This paper introduces the Delta Team's submission to Multimodal Emotion Recognition(MER 2023)-MER-NOISE Challenge. emotion recognition aims improve sentiment analysis ability by integrating emotional information from multiple modalities. However, in real applications, various interference such as noise and complex backgrounds significantly degrade model performance, making construction more challenging. In this paper, we propose two simple effective feature enhancement strategies, Hidden...
This paper presents an improved model predictive control (MPC) algorithm for linear systems with input disturbance. Based on the developed extended non-minimum state space disturbance (ENMSS-ID) model, structure is incorporated into MPC framework and objective function of optimization problem to weigh system output increments. enables simultaneously achieve good rejection performance known disturbances reduce controllers’ sensitivity mismatch. An existing optimal estimation method introduced...
The scheme of adaptive control for tape rectification on a robotic assembly line is introduced. algorithm the system split into stage and recognition stage. In stage, discrepancy between desired edges distance actual obtained by vision processing system. A forward multilayer fuzzy neural network performs map from to command signal, which then used actuate rectifying mechanism, according rule inference. model controlled object formed parameters are updated. effectiveness demonstrated...
A position estimation scheme in visual servo system with single camera mounted on a robot is proposed. The combines the techniques of depth-from-motion and depth-from-defocus to satisfy real-time requirement. For long distance moving objects, object obtained by Plucker expression Grassmann-Cayley algebra. close object, multilayer feedforward neural network employed recover from defocused image. criterion used switch between these two methods. improvements accuracy using proposed method are...