A5100649873- Autonomous Vehicle Technology and Safety
- Multilevel Inverters and Converters
- Traffic and Road Safety
- Microgrid Control and Optimization
- Traffic control and management
- Power Systems and Renewable Energy
- Automotive and Human Injury Biomechanics
- Advanced DC-DC Converters
- Transportation Safety and Impact Analysis
- Power System Optimization and Stability
- Electric and Hybrid Vehicle Technologies
- Agriculture and Farm Safety
- Privacy-Preserving Technologies in Data
- Cloud Computing and Resource Management
- Aerodynamics and Fluid Dynamics Research
- Cloud Data Security Solutions
- Terrorism, Counterterrorism, and Political Violence
- Medical Research and Treatments
- Gout, Hyperuricemia, Uric Acid
- Internet Traffic Analysis and Secure E-voting
- Machine Fault Diagnosis Techniques
- Automated Road and Building Extraction
- Text and Document Classification Technologies
- Forest ecology and management
- Frequency Control in Power Systems
Zhejiang Medicine (China)
2025
Shandong University of Technology
2025
Hohai University
2021-2024
Shanghai University of Electric Power
2024
Anhui University
2023
Huazhong University of Science and Technology
2022
Tsinghua University
2018-2021
Southeast University
2020
Fault diagnosis technology is key to the safe and stable operation of wind turbines. An effective fault for turbines can quickly identify types reduce maintenance costs farms improve power generation efficiency. Currently, most obtain data via supervisory control acquisition (SCADA) systems, which contain rich information related characteristics However, few SCADA systems provide functionality. Support vector machines (SVMs) are a popular intelligence method in SVM parameter selection...
This study proposes a short-term traffic flow prediction framework. The vector autoregression (VAR) model based on econometric theory and the CNN-LSTM hybrid neural network deep learning are employed in analysis. An intrinsic association among variables is first evaluated using VAR model, predictable relationship of these determined. Then multi-features speed for one spatial location conducted, results prove that with multi-feature better than single feature. Subsequently, several popular...
Triangle count is a critical parameter in mining relationships among people social networks. However, directly publishing the findings obtained from triangle counts may bring potential privacy concern, which raises great challenges and opportunities for privacy-preserving counting. In this paper, we choose to use differential protect counting large scale graphs. To reduce sensitivity caused graphs, propose novel graph projection method that can be used obtain an upper bound different...
Hyperuricemia has seen a continuous increase in incidence and trend towards younger patients recent years, posing serious threat to human health highlighting the urgency of using technological means for disease risk prediction. Existing prediction models hyperuricemia typically include two major categories indicators: routine blood tests biochemical tests. The potential alone not yet been explored. Therefore, this paper proposes model that integrates Particle Swarm Optimization (PSO) with...
Document clustering is of high importance for many natural language technologies. A wide range computational traditional topic models, such as LDA (Latent Dirichlet Allocation) and its variants, have made great progress. However, LDA-based algorithms might not give good results due to probabilistic models require prior distributions which are always difficult define. In this paper, we propose a model named tpLDA, incorporates different levels popularity information determine the...
An airbag is an effective protective device for vehicle occupant safety, but may cause unexpected injury from the excessive energy of ignition when it deployed. This paper focuses on design a new tubular driver perspective reducing dosage gas generant. Three different dummies were selected computer simulation to investigate stiffness and protection performance airbag. Next, multi-objective optimization 50th percentile dummy was conducted. The results show that static volume only about 1/3...
Objective: Factors related to the driver–vehicle–environment system have a significant influence on driver’s decision perform evasive maneuvers, especially of steering direction (DSD) in critical situations. However, few studies systematically investigated relationships between these factors and DSD. The objective this study is analyze model drivers’ DSD situations.Methods: Data from NASS-CDS 1995 2015 were utilized study. tree (DT) classifier was for both intersection-related...
Threat assessment (TA) method is a crucial part in the decision-making process of intelligent vehicles (IVs). Probabilistic threat (PTA) method, as robust TA has drawn increasing attention. This paper utilized vehicle event data recorder (EDR) to model driver behavior critical situations for PTA. A total 415 valid EDR samples were extracted and processed, multivariate Gaussian distribution (MGD) was employed construct probability density function (PDF) driver's evasive maneuvers. The results...
Discontinuous pulse-width modulation (DPWM) of neutral-point-clamped (NPC)NPC three-level inverter can effectively reduce a large amount switching losses in high-frequency applications by controlling single phase switch to not operate within 1/3 carrier period. However, the traditional over-zero clamped type DPWM (DPWMA) strategy with unchangeable interval has high low-order harmonics output current contains, and poor neutral-point voltage balancing ability redundant small vector. A new...
This paper presents an online economy-oriented controller to improve energy consumption of a two-axel dual-motor 4WD electric bus (E-bus) in car-following maneuver. The nonlinear model-based predictive control (NMPC) method is applied this realize deep fusion adaptive cruise (ACC) and torque distribution strategy (TDS). Some search skills are adopted receding horizon optimization reduce computing burden. proposed reduces compared with ACC+TDS on the condition ensuring tracking capability.
Cloud computing and edge are widely used in various fields, providing users with flexible resources while ensuring low latency. With the complexity of system structures variety deployment methods, reliability cloud applications is difficult to obtain. To tackle this problem, we propose a assessment method based on Monte Carlo Simulation environment hybrid clouds which include public clouds, private clouds. verify our method, have conducted relevant experiments showed its feasibility.