A5101487054- Probabilistic and Robust Engineering Design
- Electromagnetic Simulation and Numerical Methods
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Advanced Numerical Methods in Computational Mathematics
- Image and Signal Denoising Methods
- Structural Health Monitoring Techniques
- Reliability and Maintenance Optimization
- Inertial Sensor and Navigation
- Wireless Signal Modulation Classification
- Advanced Image and Video Retrieval Techniques
- Cognitive Radio Networks and Spectrum Sensing
- Integrated Circuits and Semiconductor Failure Analysis
- 3D Surveying and Cultural Heritage
- Topology Optimization in Engineering
- Hearing Impairment and Communication
- UAV Applications and Optimization
- Hand Gesture Recognition Systems
- Aluminum Alloy Microstructure Properties
- Advanced Decision-Making Techniques
- Gaussian Processes and Bayesian Inference
- Wireless Communication Security Techniques
- Metallurgical Processes and Thermodynamics
- Elevator Systems and Control
- Data Management and Algorithms
Shanghai Lixin University of Accounting and Finance
2020-2025
Henan Agricultural University
2025
Huaihua University
2024
University of Science and Technology of China
2024
Xi'an University of Architecture and Technology
2023
PLA Army Engineering University
2020-2021
Xi'an Aeronautical University
2021
Shandong University
2020
Shu-Te University
2020
Zhejiang University
2015
Severe drought can threaten the structure and function of forest ecosystems by profoundly altering plant growth mortality. Identifying drivers influencing resilience is essential for understanding global warming effect on ecosystem. However, direct indirect impacts multiple climate biological factors remain unquantified, a potential mechanistic pathway remains unexplored. Here, we aimed to quantify resistance, recovery, Pinus tabulaeformis using basal area increment. We showed that Palmer...
In recent years, with the popularity of social media applications, massive digital images are available online, which brings great convenience to image recreation. However, use unauthorized materials in multi-source composite is still inadequately regulated, may cause significant loss and discouragement copyright owners source materials. Ideally, deep watermarking techniques could provide a solution for protecting these copyrights based on their encoder-noise-decoder training strategy. Yet...
Taiwan tea is very famous around the world. This study aims to establish a quantized assessment system increase credibility of current evaluation mechanism. In this study, new procedure using fuzzy analytic hierarchy process integrated with linguistic variables proposed set up measurable indicators and determine their weights for An affinity diagram was used deduce three dimensions (i.e., farm management, tea-making process, organoleptic evaluation) 11 criteria construction system. Sixteen...
Evaluating failure probability for complex engineering systems is a computationally intensive task. While the Monte Carlo method easy to implement, it converges slowly and, hence, requires numerous repeated simulations of system generate sufficient samples. To improve efficiency, methods based on surrogate models are proposed approximate limit state function. In this work, we reframe approximation function as an operator learning problem and utilize DeepONet framework with hybrid approach...
In this paper, based on a new treatment for local base transformation, modified operator marching method is provided to accurately compute optical propagation in the inhomogeneous waveguide terminated by perfectly matched layer. Compared with adjoint (AOM), high-precision results of can be obtained numerical simulations, which demonstrate that much better than AOM. This technique helpful optimize designs waveguides and integrated optics devices.
Accurate and reliable forecast of Photovoltaic (PV) power is crucial for system dispatch control. In this paper, a novel short-term PV generation approach based on ensemble adaptive boosting random forests (EABRF) proposed. The sets the weight distribution training samples bootstrap sampling applied. By means, different sub-training data with weights are generated to train decision trees. output that average value each tree. Further, by calculating error rate assigning corresponding forests,...
A new method of specific emitter extraction based on I/Q imbalance is proposed in this paper. Firstly, the modulated noisy signal processed and fingerprint features related to mismatch parameters are extracted. This feature two parts. One part can be obtained directly by processing signal, other requires SNR estimation signal. The noise ratio(SNR) algorithm wavelet denoising adopted Starting from continuity threshold function its derivative function, improves traditional constructs with...
The implementation of spectral stochastic Galerkin finite element approximation methods for Helmholtz equations with random inputs is considered. corresponding linear systems have matrices represented as Kronecker products. sparsity such analysed and a mean-based preconditioner constructed. Numerical examples show the efficiency preconditioners problems, which are not too close to resonant frequency.
Based on analyzing hierarchical control theory proposed by Saridis, this paper compared the architecture of human-simulated intelligent (HSIC) and electric power automation system (EPAS); it also introduced application sample HSIC in generator excitation process briefly. It points out that there is an interaction a promoting relationship between them will heighten intelligence level EPAS improve studying field.
Markov chain Monte Carlo (MCMC) stands out as an effective method for tackling Bayesian inverse problems. However, when dealing with computationally expensive forward models and high-dimensional parameter spaces, the challenge of repeated sampling becomes pronounced. A common strategy to address this is construct inexpensive surrogate model, which cuts computational cost individual samples. While Gaussian process (GP) widely used a modeling strategy, its applicability can be limited input or...
It is known that standard stochastic Galerkin methods face challenges when solving partial differential equations (PDEs) with random inputs. These are typically attributed to the large number of required physical basis functions and functions. Therefore, it becomes crucial select effective properly reduce dimensionality both approximation spaces. In this study, our focus on associated generalized polynomial chaos (gPC). We delve into low-rank quasimatrix, whose columns represent coefficients...
Disaster management is always an important issue of international studies. A large disaster generates numerous trauma patients in a very short time. Thus, how to ship these appropriate hospitals time so as save their lives issue. This study uses the GIS interface construct medical decision support system for Kaoshung city, which available recourses are dynamically updated by RFID system. The goal this optimizing shipment minimizing transportation and operation dynamic programming. model...