- Network Packet Processing and Optimization
- Power Systems and Technologies
- Smart Grid Energy Management
- UAV Applications and Optimization
- Mobile Agent-Based Network Management
- Electric Power System Optimization
- Geophysics and Gravity Measurements
- IoT and Edge/Fog Computing
- Aerospace and Aviation Technology
- Energy Efficient Wireless Sensor Networks
- Inertial Sensor and Navigation
- Optimal Power Flow Distribution
- Mechanical Circulatory Support Devices
- Vehicle License Plate Recognition
- Caching and Content Delivery
- Climate Change Policy and Economics
- Aerospace Engineering and Energy Systems
- Aerosol Filtration and Electrostatic Precipitation
- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Organic Food and Agriculture
- Energy and Environment Impacts
- Vehicular Ad Hoc Networks (VANETs)
- GNSS positioning and interference
- Cyclone Separators and Fluid Dynamics
Guangdong University of Technology
2023-2024
Southwest Minzu University
2023
Radar (United States)
2021
Taizhou University
2021
Universiti Malaysia Kelantan
2021
University of Tennessee at Knoxville
2017-2020
University of Science and Technology Beijing
2018
Harbin Institute of Technology
2018
Beijing University of Technology
2016
PLA Rocket Force University of Engineering
2011
Due to the flexible deployment and availability of line-of-sight (LoS) link, unmanned aerial vehicle (UAV) is able assist roadside unit (RSU) provide timely computing resources covered users in temporary congestion roads. In UAV-assisted vehicular edge networks (VECNs), caching necessary data RSU/UAV reduces task execution delay bandwidth cost significantly. However, for constrained storage computation capacities UAV dynamic requests users, efficient selection replacement schemes are needed....
The increasing adoption of small-scale electricity generation technologies represents a transition from hub-and-spoke system centralized to distributed energy resources (DER). Many utilities understand the benefits DER but are unsure how mitigate associated challenges, including intermittent generation, stranded assets, inability dispatch, and an control when is produced (“must take” energy). Using bottom-up agent-based computational economics approach, this paper studies evolving dynamic...
This paper proposes a simple and cost-effective method named transmission error approximation (TEA) for estimating the distance between two Zigbee devices. The idea is to measure analyze statistically packet loss rates approximate estimation. We have implemented an experimental prototype TEA using protocol. built on FreeScale's MCF5208 evaluation boards that built-in MC13192 ZigBee transceiver chip. Field experiments been carried out at lacrosse field URI campus. Measurement results show way...
With the rapid development of bridges, traditional sensing technology is difficult to meet needs diversified tests. To overcome limitations and further develop health monitoring system a new network concept, namely, Internet things (IOT), which exchanges information creates interconnection communication between bridge system, presented in this paper. The designed achieve real-time cluster status. This introduces wireless acceleration transducer by gateway cloud platform monitor status, can...
The increasing adoption of small-scale technologies for generating power represents a transition from centralized electricity systems to distributed energy resources (DER). This paper develops multi agent-based model (ABM) study the dynamic behaviors that influence DER investment decisions. proposed accounts both local utilities (and load serving entities "LSE") and plants. is introduced into by allowing LSE customers invest in particular photovoltaic systems. Consequently, forecasts market...
An important research of flight control is the aircraft modeling. In this paper, influence environment including gravity, wind, and atmosphere considered when establishing nonlinear dynamic model aircraft. The simulation results obtained here indicate that actual (with environment) different from without environment. And great on control.
To improve the particle transport computational fluid dynamics models of impulse-cyclone airflow drying systems, a Eulerian-Lagrangian discrete model (commercial code ANSYS Fluent 2019 R1) was extended to describe temperature field, velocity and distribution in impulse cyclone dryers. The results showed that considerably changed after wood flour added into system, with an approximate difference between particles 2 m/s. An increased feed rate led backflow area at bottom dryer, which caused...
Underwater wireless communication is the use of acoustic, optical, electromagnetic waves and other technologies to send information underwater. This article reviews existing routing protocols for underwater network design. Particular attention paid their performance in terms efficiency, data rate, latency, packet loss. The different types are discussed detail, highlighting respective strengths weaknesses. also covers issues related security scalability how they affect entire network....
The five-degree-of-freedom air-floating microgravity platform system is complex and computationally intensive, which not only affects the pre-validation of platform, but also puts high demands on performance controller. To address above problems, kinetic model decoupling re-derived in this paper, an efficient equivalent control rate derived based Lyapunov method. Meanwhile, for problem solving overdetermined moment balance equation, paper proposes a heuristic solution method can keep same...
In order to realize excellent flight control system design and simulation, it is indispensable establish a more realistic integrated aircraft model, so scheme for an model which consists of dynamics, propulsion environment proposed in this research. Three parts the are closely connected interacted with each other. Furthermore, aero engine can reflect thrust changes full real envelope gains great parsimoniousness, designed based on K-means clustering algorithm recursive reduced least squared...
Rainfall prediction plays an important role in guiding agricultural development and natural disaster prediction. However, the of rainfall with many influencing factors is extremely complicated, which makes high-precision very difficult. This work verify feasibility using GPS BDS signals to predict rainfall, compare their accuracy.This study proposes a neural network model based on GNSS rainfall.The paper uses precipitable water vapor data retrieved by Global Positioning System (GPS) Beidou...