A5062848146- Additive Manufacturing and 3D Printing Technologies
- Metaheuristic Optimization Algorithms Research
- Industrial Vision Systems and Defect Detection
- Advanced Multi-Objective Optimization Algorithms
- 3D Printing in Biomedical Research
- Electric Power System Optimization
- Smart Agriculture and AI
- Nanofabrication and Lithography Techniques
- Advanced Text Analysis Techniques
- Nanomaterials and Printing Technologies
- Advanced ceramic materials synthesis
- Stock Market Forecasting Methods
- Scheduling and Optimization Algorithms
- Face and Expression Recognition
- Economic and Technological Innovation
- Energy Load and Power Forecasting
- Vehicle Routing Optimization Methods
- Evolutionary Algorithms and Applications
- Advanced Neural Network Applications
- Advanced Measurement and Detection Methods
- Advanced Clustering Algorithms Research
- Innovation Diffusion and Forecasting
- Advanced Antenna and Metasurface Technologies
- Surface Modification and Superhydrophobicity
- Metamaterials and Metasurfaces Applications
Jiangxi Agricultural University
2023-2025
Shanghai Maritime University
2025
Nanjing Tech University
2024
Beihang University
2021-2023
Beijing University of Technology
2019-2023
University of Southern California
2017-2020
Northwest A&F University
2007
Abstract Additive manufacturing has many advantages in creating highly complex customized structures. In this study, a low‐cost multiscale stereolithography technology that can print macroscale object with microscale surface structures high throughput is demonstrated. The developed realized by dynamic switching of laser spot size and adaptively sliced layer thickness. An optical filter based on subwavelength resonance grating used to modify for lasers different wavelengths achieves maximum...
Ratoon rice, as a high-efficiency rice cultivation mode, is widely applied around the world. Mechanical righting of rolled stubble can significantly improve yield in regeneration season, but lack automation has become an important factor restricting its further promotion. In order to realize automatic navigation machine, method fusing instance segmentation model and monocular depth prediction was used localization rows this study. To achieve prediction, estimation trained on training set we...
The floating liquefied natural gas (FLNG) system is an offshore facility that floats above a field, directly liquefying without the need for subsea pipelines. In recent years, there has been growing interest in exploring technological innovations FLNG systems. As such, advancements could lead to breakthroughs optimizing layout and operations within limited space of these platforms. To address this, we first apply patent mining method cluster FLNG-related texts, identifying key components. We...
Location-routing problems (LRPs) widely exist in logistics activities. For the biomass waste collection, there is a recognized need for novel models to locate collection facilities and plan vehicle routes. So far most location-routing fall into cost-driven-only category. However, comprehensive objectives are required specific context, such as time-dependent pollution speed- load-related emission. Furthermore, LRPs hierarchical by nature, containing facility location (strategic level) routing...
Abstract The development of all-dielectric metasurfaces vigorously prompts the applications optical for visible and near-IR light range. Compared to IR or longer wavelength light, have shorter wavelengths. As a result, surface roughness imperfections larger scattering absorption thereby directly affecting performance an metasurface. In this article, volume-current method is adopted study effect metasurface roughness. Numerical calculations based on finite difference time domain (FDTD) are...
Current stereolithography (SL) can fabricate three-dimensional (3D) objects in a single-scale level, e.g., printing macroscale or microscale objects. However, it is difficult for the SL printers to 3D object with features. In paper, novel SL-based multiscale fabrication method presented address such problem. The developed process features by dynamically changing shape and size of laser beam. Different shaped beams are realized switching apertures different micropatterns. beam without using...
As a highly productive rice, ratoon rice is widely planted worldwide, but the rolling of stubble in mechanical harvesting severely limits its total yield; based on this, some scholars have proposed rolled righting machines. However, limited by uncertainty field environment, machine’s localization accuracy target needs to be improved. To address this problem, real-time detection rows prerequisite. Therefore, paper introduces deep learning method for first time achieve this. end, we presented...
Current Stereolithography (SL) can fabricate three-dimensional (3D) objects in a single scale level, e.g. printing macro-scale or micro-scale objects. However, it is difficult for the SL printers to 3D object with features. In paper novel SL-based multi-scale fabrication method presented address such problem. The developed process features by dynamically changing shape and size of laser beam. Different shaped beams are realized switching apertures different micro-patterns. beam without using...
Ratooning rice is an essential rice-planting method. However, mechanical harvesting of the primary crop, while increasing efficiency, can negatively affect yield ratooning rice. Therefore, it crucial to find ways improve grain after harvest A two-year field experiment was conducted; assessed by stubble righting The study used two popular cultivars, YLiangyou911 and Kenliangyou801, as experimental materials. treatments included three groups: one without rolling (CK), another with mechanized...
Two light beams with different colors indicate there are two lasers of wavelengths in the 3D printer to improve printing efficiency, as presented article number 1800638 by Wei Wu and co-workers. The denticle array being printed is structure this work was inspired shark skin texture fluid drag reduction function.
This paper presents an antigravity-based fuzzy Gravitational Search Algorithm (AFGSA) to solve the economic dispatch problem (EDP) with various constraints. Based on antigravity mechanism combined adaptive parameter controller AFGSA is designed. By doing so, it ensures a proper balance between exploration and exploitation of GSA. Furthermore, simulated annealing (SA) process introduced control application anti-gravitation forces guarantee convergence rate. A optimizing system applied...