- Railway Systems and Energy Efficiency
- Railway Engineering and Dynamics
- Transportation Planning and Optimization
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
- Simulation Techniques and Applications
- Neural Networks and Reservoir Computing
- Neural dynamics and brain function
- Online Learning and Analytics
- Engineering Applied Research
- Advanced Memory and Neural Computing
- Magnetic Bearings and Levitation Dynamics
- Machine Fault Diagnosis Techniques
- Advanced Optical Network Technologies
- Traffic Prediction and Management Techniques
- High-Voltage Power Transmission Systems
- Control Systems and Identification
- Stock Market Forecasting Methods
- Elevator Systems and Control
- Assembly Line Balancing Optimization
- Education and Learning Interventions
- Transport and Logistics Innovations
- HVDC Systems and Fault Protection
- Educational Technology and Pedagogy
- Ideological and Political Education
Hefei University
2014-2025
Jiangsu University
2022-2024
University of Stuttgart
2014-2023
Shanghai Jiao Tong University
2023
Southwest Petroleum University
2020-2022
Tsinghua University
2003-2019
China Three Gorges University
2019
State Administration of Foreign Experts Affairs
2012
As organizations are benefiting from investments in big data analytics capabilities building and education, our study has analyzed the impact of education on business model innovation. It also assessed technological orientation employee creativity as mediating moderating variables. Questionnaire 499 managers at enterprises Jiangsu, China have been using Structural Equation Modeling (SEM) SmartPLS. Big strengthen increase Technology increases innovation plays a role. Employee boosts These...
Abstract The main aim of this research is to study the influence traditional, online, and hybrid teaching modes on student academic performance. For purpose, three determinants perceived satisfaction performance are used compare learning outcomes across different mediums. This first examine their students enrolled in higher education institutions. context a set China’s sector after COVID-19 outbreak. Data were collected model variables through an online questionnaire distributed amongst...
In railway systems, the detection of wheel flats is essential for ensuring safety and reducing maintenance costs. This study compares performance Long Short-Term Memory Transformer models in detecting using data from a 1:10 scale test rig. The findings indicate that model significantly outperforms model, especially when feature-level sensor fusion employed, achieving an average error as low 0.0069 mm with percentage at 5.30%, minimizing maximum to 0.0985 mm. emphasizes potential diagnostics,...
Abstract High‐speed Maglev is a cutting‐edge technology brought back into the focus of research by plans Chinese government for development new 600 km/h train. A Chinese‐German cooperation with industrial and academic partners has been established to pursue this ambitious goal bring together experts from multiple disciplines. This contribution presents joint work achievements CRRC Qingdao Sifang, thyssenkrupp Transrapid, CDFEB, ITM University Stuttgart, regarding in field high‐speed systems....
The purpose of this research is to investigate the associations internal and external support mechanisms with entrepreneurial success, in context China's sector from network theory perspective. role digital technology, as a moderator, has also been analyzed. Data obtained 500 entrepreneurs Jiangsu, province China. All hypotheses were tested using structural equation modeling. It found that family support, business partner community stakeholder relationships have positive effects on success....
Multi-constrained quality-of-service routing (QoSR) is to find a feasible path that satisfies multiple constraints simultaneously, as an NPC problem, which also big challenge for the upcoming next-generation networks. In this paper, we propose SA/spl I.bar/MCP, novel heuristic algorithm, by applying simulated annealing Dijkstra's algorithm. This algorithm first uses nonlinear energy function translate QoS weights into single metric and then seeks annealing. The paper outlines analyzes...
Because of the continuous reduction subsidies for distributed photovoltaic power generation and future participation in bidding, cost per kilowatt hour electricity will become an important economic indicator investment decision-making bidding strategies. In this paper, a cost-benefit model plant (DPPP) has been proposed based on its own characteristics. This paper further presents decision analysis method about through analyzing several parameters, such as whole life cycle installed costs,...
The efficiency and service quality in railway operation can be improved with the support of a partially-automatic dispatching system. Three types automatic system model are prevailing: simulative, analytical, heuristic. However, none them is able to reconcile different preferences between performance solutions individually. A hybrid therefore designed this dissertation. In model, synchronous simulation utilized as basis order generate basic solution. This dissertation focuses on components...
Illegal insider trading identification presents a challenging task that attracts great interest from researchers due to the serious harm of activities investors’ confidence and sustainable development security markets. In this study, we proposed an approach which integrates XGboost (eXtreme Gradient Boosting) NSGA-II (Non-dominated Sorting Genetic Algorithm II) for regulation. First, cases occurred in Chinese market were automatically derived, their relevant indicators calculated obtained....
Simulation methods are widely used in the field of railway planning and operations. Currently, several commercial software tools available that not only provide functionality for simulation but also enable further evaluation optimisation network scheduling, dispatching, capacity research. However, various all lacking with respect to standards they utilise as well their published interfaces. For an end-user, basic mechanism assumptions built into a tool unknown, which means true potential...
Simulation methods are widely used in railway planning and operation. However, at the moment there no applicable solutions process simulation for a smooth transition among different infrastructure levels on basis of unified structure with consistent algorithm. In this paper, multi-scale model is designed consideration level detail investigated homogeneity processes running model. A comprehensive synthesized view operation therefore obtained. Within model, can be simulated, evaluated...
To reduce maintenance costs, it is important to carry out probabilistic analyses on railway vehicle components. In this work, a data-driven approach based Gaussian process for regression developed determine the probability of axle failure caused by crack growth in axles. For complicated modes, difficult or even impossible build reliable analytical simulation model before using an approach. The main purpose work develop algorithm infer distribution from limited measured data without having...
Heavy and highly dynamic traffic demands in today's data center networks (DCNs) pose great challenges to efficient engineering. With gigabit bandwidth, wireless communication technologies, such as free space optics 60GHz wireless, are promising augment DCNs enable Complementary the emerging reconfigurable architectures, we aim achieve routing effectively balance load with performance guarantee. We derive a general interference model propose decomposition technique proven guarantee solve...
For efficient railway operation and maintenance, the demand for onboard monitoring systems is increasing with technological advances in high-speed trains. Wheel flats, one of common defects, can be monitored real-time through accelerometers mounted on each axle box so that criteria relevant standards are not exceeded. This study aims to identify location height a single wheel flat based non-stationary acceleration (ABA) signals, which generated train dynamics model flexible wheelsets. The...
As wheels are important components of train operation, diagnosing and predicting wheel faults essential to ensure the reliability rail transit. Currently, existing studies always separately deal with two main types faults, namely radius difference flat, even though they both reflected by changes. Moreover, traditional diagnostic methods, such as mechanical methods or a combination data analysis have limited abilities efficiently extract features. Deep learning models become useful tools...
To improve the capacity of metro systems, it is important to evaluate and minimise headway, which defined as time interval calculated from “head head” between two successive trains in this paper. With existing approaches for headway optimisation, moving block systems often based on safe braking distance. However, blocking at movable elements (e.g., switches crossings) stops has special characteristics. Since train separation dominated by a signalling system, distance exceeds In work, theory...
Abstract At present, with the deepening of China’s education system reform, music is facing a rare opportunity to develop, developing students’ quality comprehensively, promoting construction socialist spiritual civilization will play greater role. This article combined large data environment in school, explore big data, and practicality education, some problems try combine innovative ideas solve these problems, order enrich content on college thought positive impact sustainability. Finally,...
Morality and music are the embodiment of people's life thoughts. Pursuing unity virtue is great significance to ideological political (IAP) work college students. The study students 'moral standards behaviors inseparable from understanding students' aesthetic judgment concepts, essence beauty relationship between reality, nature. Moral values moral ideals For young students, only by loving can they realize pursuit consciously create according laws beauty. This article aims role education...
With the continuous development of society, society requires higher and standards talent training. The Party state attach great importance to cultivation talents in colleges universities, have successively issued relevant policies put forward clear requirements for education system universities. This paper mainly studies construction contemporary college students' literacy model based on DQR framework. uses questionnaire survey method sort out status quo data China's university libraries,...