A5100460860- Manufacturing Process and Optimization
- Energy Load and Power Forecasting
- Industrial Vision Systems and Defect Detection
- Advanced machining processes and optimization
- Surface Roughness and Optical Measurements
- Advanced Measurement and Metrology Techniques
- Product Development and Customization
- Solar Radiation and Photovoltaics
- Advanced Manufacturing and Logistics Optimization
- Additive Manufacturing and 3D Printing Technologies
- Grey System Theory Applications
- Optimization and Packing Problems
- Vehicle Routing Optimization Methods
- Assembly Line Balancing Optimization
- Electric Power System Optimization
- Advanced Statistical Process Monitoring
- Photovoltaic System Optimization Techniques
- BIM and Construction Integration
- Fault Detection and Control Systems
- Hydraulic and Pneumatic Systems
- Image and Object Detection Techniques
- Smart Grid Energy Management
- Industrial Technology and Control Systems
- Digital Transformation in Industry
- Engineering Technology and Methodologies
Florida A&M University - Florida State University College of Engineering
2018-2025
Hebei University of Technology
2024
Shanghai University of Electric Power
2022-2024
North China Electric Power University
2013-2024
Liaoning Technical University
2011-2024
Shenzhen Institute of Information Technology
2024
Nanjing University of Aeronautics and Astronautics
2024
South China University of Technology
2023
Communication University of China
2023
NARI Group (China)
2023
Accurate short-term load forecasting of distribution transformer in extreme weather will effectively assist power dispatching and enable safe stable operation grid. Therefore, this paper proposes the Bagging–XGBoost algorithm based identification model, which can warn time period detailed value peak advance. Firstly, on Extreme Gradient Boosting (XGBoost) algorithm, idea Bagging is introduced to reduce output variance enhance generalization ability algorithm. Then, mutual information (MI)...
The "factory-in-a-box" concept involves assembling production modules (i.e., factories) in containers and transporting the to different customer locations. Such a could be highly effective during emergencies, when there is an urgent demand for products (e.g., COVID-19 pandemic). planning problem can divided into two sub-problems. first sub-problem deals with assignment of raw materials suppliers, sub-assembly decomposition, manufacturers, tasks manufacturers. second focuses on transport...
Bamboo cell wall exhibits a microscopically graded architecture, and micro-layer distributed cells around individual walls, which leads to the preferred mechanical properties of bamboo for impact loading. This work proposes cellular structure, as called Biomorphic Structure (BBS), is functionally honeycomb structure inspired by microstructure manufactured using fused filament fabrication (FFF). It hypothesized that, introducing biomorphic micro-unit cells, including range thickness step...
Purpose Marine transportation has been faced with an increasing demand for containerized cargo during the past decade. container terminals (MCTs), as facilities connecting seaborne and inland transportation, are expected to handle amount of containers, delivered by vessels. Berth scheduling plays important role total throughput MCTs well overall effectiveness MCT operations. This study aims propose a novel island-based metaheuristic algorithm solve berth problem minimize cost serving...
Short-term household electricity load forecasting is important for utility companies to ensure reliable power supplies. Traditional methods relied on historical records from one single data source and have limitations with insufficient or missing data. Recently, an emerging family of machine learning algorithms, multitask (MTL), has been developed the potential forecasting. By MTL, consumption multiple communities can be fused improve accuracy. However, appropriate modeling relatedness...
The shape of a machined surface significantly impacts its functional performance and exhibits different spatial variation patterns that reflect process conditions. Classification these into interpretable classes can greatly facilitate manufacturing fault detection diagnosis. High-definition metrology (HDM) generate high density data detect small differences workpiece surfaces, which better than traditional measurement methods in In this paper, novel adaptive support vector machine...
Countering the issue of low optimization accuracy and poor stability Elephant Herding Optimization (EHO) algorithm when solving multi-dimensional nonlinear complex problems, putting forward an improved (IEHO) algorithm. The improves EHO by chaosing initial solution, adding dynamic influence factors, Levy flight operators boundary mutation in position update process. Standard functions are used for test experiments, results indicate that introduction strategies can effectively improve...
The vigorous development of wind energy will help to promoting the adjustment structure, control atmospheric smog, and transformation economic mode. However, randomness volatility speed make it difficult predict with high accuracy. High-precision short-term prediction is inseparable from effective variable selection. In order select highly relevant variables for prediction, Multi-Task Lasso applied extract features, so change trend can be expressed exactly, Multilayer Perceptron (MLP) based...
This paper introduces a data-driven algorithm for modeling and compensating shape deviations in additive manufacturing (AM), addressing challenges geometric accuracy batch production. While traditional methods, such as analytical models metrology, laid the groundwork precision, they are often impractical large-scale Recent advancements machine learning (ML) have improved compensation but issues remain generalizing across complex geometries adapting to position-dependent variations. We...
Abstract Accurate measurement of the photoelastic constant glass is basis for accurately obtaining stress. This paper focuses on one method measuring materials. The based relationship between optical path difference, stress, and glass. By discussing working principle, device, steps glass, as well verifying in detail diameter sample fiber, wavelength light source, loading that affects results, finally obtains accurate testing conditions. Since human eyes can distinguish whether extinction...