A5100629869- Bayesian Modeling and Causal Inference
- Fault Detection and Control Systems
- Risk and Safety Analysis
- Distributed and Parallel Computing Systems
- Advanced Computational Techniques and Applications
- Software Reliability and Analysis Research
- Advanced Decision-Making Techniques
- AI-based Problem Solving and Planning
- Rough Sets and Fuzzy Logic
- Cloud Computing and Resource Management
- Multi-Criteria Decision Making
- Scientific Computing and Data Management
- Artificial Intelligence in Healthcare
- High voltage insulation and dielectric phenomena
- Quantum Information and Cryptography
- Parallel Computing and Optimization Techniques
- Industrial Technology and Control Systems
- Advanced Data Processing Techniques
- Electromagnetic Launch and Propulsion Technology
- Advanced Data Storage Technologies
- Pulsed Power Technology Applications
- Peer-to-Peer Network Technologies
- Data Quality and Management
- Caching and Content Delivery
- Smart Agriculture and AI
Sichuan University
2012-2025
Hunan Normal University
2025
Xinxiang University
2024
Shenzhen University
2024
Ministry of Education of the People's Republic of China
2024
Huazhong University of Science and Technology
2011-2023
Tsinghua University
2014-2023
University of Electronic Science and Technology of China
2023
Southwest Jiaotong University
2023
Nanjing University of Aeronautics and Astronautics
2017-2022
This paper addresses the problem of robust bottom following control for a flight-style autonomous underwater vehicle (AUV) subject to system uncertainties, actuator dynamics, and input saturation. First, dynamics that is approximated by first-order differential equation inserted into AUV model, which renders high-order nonlinear analysis design in model-based backstepping controller utilizing guidance errors. Second, overcome shaking behavior resulted derivative calculation, fuzzy...
Graphical models for probabilistic reasoning are now in widespread use. Many approaches have been developed such as Bayesian network. A newly approach named dynamic uncertain causality graph (DUCG) is initially presented a previous paper, which only the inference algorithm terms of individual events and probabilities addressed. In this we first explain statistic basis DUCG. Then, extend to form matrices probabilities. It revealed that representation DUCG can be incomplete exact may still...
A new type application specific light emitting diode (LED) package (ASLP) with freeform polycarbonate lens for street lighting is developed, whose manufacturing processes are compatible a typical LED packaging process. The reliability test methods and failure criterions from different vendors reviewed compared. It found that quite different. rapid assessment standards urgently needed the industry. 85 °C/85 RH 700 mA used to our modules three other 1000 h, showing no visible degradation in...
Probabilistic graphical models (PGMs) such as Bayesian network (BN) have been widely applied in uncertain causality representation and probabilistic reasoning. Dynamic graph (DUCG) is a newly presented model of PGMs, which can be to fault diagnosis large complex industrial systems, disease diagnosis, so on. The basic methodology DUCG has previously presented, only the directed acyclic (DAG) was addressed. However, mathematical meaning not discussed. In this paper, with cyclic graphs (DCGs)...
Intelligent systems for online fault diagnoses can increase the reliability, safety, and availability of large complex systems. As an intelligent system, Dynamic Uncertain Causality Graph (DUCG) is a newly presented approach to graphically compactly represent uncertain causalities, perform probabilistic reasoning, which be applied in other tasks. However, only static evidence was utilized previously. In this paper, methodology DUCG with dynamic presented. propagations among sequential time...
Metallized film capacitors possess characteristics of self-healing, high reliability, and long lifetime. Lifetime reliability are the key factors that ensure stability electromagnetic launch system. In capacitor lifetime test, it is a time-consuming work to get enough capacitance loss (CL) data characterize performance capacitor. Thus, necessary analyze experimental by effective prediction model (LPM). This paper first introduces CL in test. Then, traditional LPMs such as least square method...
Metallized film capacitors (MFCs) enjoy characteristics of high energy density and reliability due to the self-healing capability, thus are commonly used as storage devices in pulsed power systems. With expanding applications, repetition technology has become an essential topic. Research explore application MFC repetitive pulse systems is great importance. This paper focuses on high-energy-density applications a rate less than 100 Hz. A heat transfer model established analyze temperature...
The dynamic uncertain causality graph (DUCG) is a newly presented framework for representation and probabilistic reasoning. It has been successfully applied to online fault diagnoses of large, complex industrial systems, decease diagnoses. This paper extends the DUCG model more cases than what could be previously modeled, e.g., case in which statistical data are different groups with or without overlap, some domain knowledge actions (new variables causalities) introduced. In other words,...
Safety comes first in many real-world applications involving autonomous agents. Despite a large number of reinforcement learning (RL) methods focusing on safety-critical tasks, there is still lack high-quality evaluation those algorithms that adheres to safety constraints at each decision step under complex and unknown dynamics. In this paper, we revisit prior work scope from the perspective state-wise safe RL categorize them as projection-based, recovery-based, optimization-based...
With society progressing toward intelligent systems and the escalating challenges of electromagnetic radiation, demand for advanced wave (EMW)-absorbing materials has intensified. The prevalent methodology combines magnetic components with dielectric matrices to harness interfacial synergy, enabling concurrent optimization impedance matching enhancement in functionality. better understanding absorption mechanisms, there been an increase microscopic studies. Herein, we demonstrate a...
Probabilistic safety assessment (PSA) has been widely applied to large complex industrial systems like nuclear power plants, chemical etc. Event trees (ET) and fault (FT) are the major tools, but dependences logic cycles may exist among within them, not well addressed, leading even optimistic estimates. Repeated representations calculations exist. Causalities assumed deterministic, while sometimes they uncertain. This paper applies dynamic uncertain causality graph (DUCG) in PSA overcome...
A new approach for uncertain causality representation and probabilistic reasoning named as dynamic graph (DUCG) was presented previously, in which only the discrete variables certain evidence were addressed. In this paper, free mixtures of continuous well are The general idea to deal with is transform them into fuzzy along their corresponding causalities, then treat ordinary variables, involves how evidence. It pointed out that either: 1) an observed value a variable falling area across two...
Improved mortality prediction among intensive care unit (ICU) inpatients is a valuable and challenging task. Limited clinical data, especially with appropriate labels, are an important element restricting accurate predictions. Generative adversarial networks (GANs) excellent generative models have shown great potential for data simulation. However, there been no relevant studies using GANs to predict ICU inpatients. In this study, we aim evaluate the predictive performance of variant GAN...
Intelligent systems are desired in dynamic fault diagnoses for large and complex such as nuclear power plants. Dynamic uncertain causality graph (DUCG) is a system presented previously. This paper extends the DUCG methodology to deal with negative feedbacks, which one of most difficult problems diagnosis, predicts development online. Two methods presented. One does not involve propagation across time slices. Another involves through A plant simulator located at Tsinghua University used test...
A two-electrode graphite spark gap switch is used as the main discharge and triggered by a reliable trigger generator in pulsed-power conditioning system. The based on resonant charging of pulse transformer constructed. An appropriate ratio can be obtained when using core-type transformer. time dependent leakage inductance capacitance primary secondary capacitors. stray resistance magnetizing circuit have an impact energy transmission efficiency. dry-type with load 1.08 nF, output voltage...
Surveillance video service (SVS) is one of the most important services provided in a smart city. It very for utilization SVS to provide design efficient surveillance analysis techniques. Key frame extraction simple yet effective technique achieve this goal. In applications, key frames are typically used summarize content. and essential extract accurately efficiently. A novel approach proposed from traffic videos based on GPU (graphics processing units) ensure high efficiency accuracy. For...