A5070201264- Geophysical and Geoelectrical Methods
- Simulation Techniques and Applications
- Supply Chain and Inventory Management
- Geophysical Methods and Applications
- Scheduling and Optimization Algorithms
- Groundwater flow and contamination studies
- Evacuation and Crowd Dynamics
- Seismic Imaging and Inversion Techniques
- Sustainable Supply Chain Management
- Underwater Vehicles and Communication Systems
- Remote Sensing in Agriculture
- Water Quality Monitoring Technologies
- Industrial Technology and Control Systems
- Consumer Market Behavior and Pricing
- Design Education and Practice
- Advanced Computational Techniques and Applications
- Cloud Computing and Resource Management
- Product Development and Customization
- Software Engineering Techniques and Practices
- Soil and Unsaturated Flow
- Plasma Applications and Diagnostics
- Forecasting Techniques and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Landslides and related hazards
- Technology Assessment and Management
Wuhan University
2004-2025
Huazhong University of Science and Technology
2024
Tongji Hospital
2024
Walmart (United States)
2024
Xiaomi (China)
2024
Hainan University
2023-2024
State Key Laboratory of Digital Medical Engineering
2024
Hainan Medical University
2024
Yanshan University
2012-2023
Wuhan University of Technology
2013-2022
The areca nut is the primary economic source for some farmers in southeast Asia. However, emergence of yellow leaf disease (YLD) has seriously reduced annual production nuts. There an urgent need effective method to monitor severity (SAYD). This study selected orchard with a high incidence YLD as area. An unmanned aerial vehicle (UAV) was used acquire multispectral and thermal infrared data from experimental ReliefF algorithm feature selection ten vegetation indices were variables build six...
Unmanned aerial vehicles (UAVs) and unmanned ground (UGVs) collaboratively play central roles in intelligence gathering control urban/border surveillance crowd control. In this paper, we first propose a comprehensive planning framework based on dynamic-data-driven, adaptive multi-scale simulation (DDDAMS). We then discuss proposed algorithms enabling DDDAMS capability several methods such as 1) Bayesian-based information aggregation/disaggregation, 2) dynamic updating observation/simulation,...
An agent-based hardware-in-the-loop simulation framework is proposed to model the UAV/UGV surveillance and crowd control system. To this end, a planning system architecture discussed first, which includes various modules such as sensory data collection, detection, tracking, motion planning, command generation, strategy evaluation. The that are highly related with modeling (focus of paper) then discussed, considering multi-objectives, via social force model, enhancement environment GIS 3D...
Drought stress is a significant factor affecting soybean growth and yield. A lack of suitable high-throughput phenotyping techniques hinders the drought tolerance evaluation multi-genotype samples. method for evaluating in soybeans proposed based on multimodal remote sensing data from an unmanned aerial vehicle (UAV) machine learning. Hundreds genotypes were repeatedly planted under well water (WW) (DS) different years locations (Jiyang Yazhou, Sanya, China), UAV obtained multiple fertility...
An agent-based hardware-in-the-loop simulation framework is proposed to model the UAV/UGV surveillance and crowd control system. To this end, a planning system architecture discussed first, which includes various modules such as sensory data collection, detection, tracking, motion planning, command generation, strategy evaluation. The that are highly related with modeling (focus of paper) then discussed, considering multi-objectives, via social force model, enhancement environment GIS 3D...
In this paper, a coherent and comprehensive distributed simulation platform is proposed to support hierarchical manufacturing planning control. This enables integration of various hardware software components within across supply chain members, such as equipment, physics-based process simulators, system-dynamic, agent-based discrete-event simulators (DESs), databases via web services technology. At the shop level, DES model may run in stand-alone mode, or conjunction with other (e.g....
The goal of this paper is to study the team formation multiple UAVs and UGVs for collaborative surveillance crowd control under uncertain scenarios (e.g. splitting). A comprehensive coherent dynamic data driven adaptive multi-scale simulation (DDDAMS) framework adopted, with focus on simulation-based planning strategies related problem considered in paper. To enable UGVs, a two stage approach involving 1) clustering 2) UAV/UGV assignment proposed during system operations by considering...