A5101920273- Cognitive Science and Mapping
- Cognitive Computing and Networks
- Robotic Path Planning Algorithms
- Distributed and Parallel Computing Systems
- Guidance and Control Systems
- Distributed Control Multi-Agent Systems
- Technology and Human Factors in Education and Health
- Military Defense Systems Analysis
- Advanced Decision-Making Techniques
- Multi-Criteria Decision Making
- Transportation Planning and Optimization
- Advanced Computational Techniques and Applications
- Hand Gesture Recognition Systems
- Advanced Vision and Imaging
- UAV Applications and Optimization
- Target Tracking and Data Fusion in Sensor Networks
- Fault Detection and Control Systems
- Visual Attention and Saliency Detection
- Computational Geometry and Mesh Generation
- Robotics and Sensor-Based Localization
- Fuzzy Logic and Control Systems
- Cloud Computing and Resource Management
- Advanced Image and Video Retrieval Techniques
- Surface Roughness and Optical Measurements
- Web Data Mining and Analysis
Southeast University
2024
Northwestern Polytechnical University
2011-2023
Changzhou Institute of Mechatronic Technology
2023
Wuhan University of Technology
2009-2023
Southern Medical University
2022
Naval University of Engineering
2021
Jingdong (China)
2020
Weinan Normal University
2012-2020
Wuhan University
2009-2020
San Diego State University
2020
Abstract Pathological microenvironment of diabetes including hyperglycemia, excessive reactive oxygen species (ROS), and accumulation advanced glycation end products leads to high risk infection persistent inflammatory reaction, retarding biointegration implants. To address this issue, a dual‐catalysis system consisting Na 2 TiO 3 nanotubes with CeO nanodots polydopamine (PDA) cover is constructed on Ti implant manipulate ROS generation scavenging for antibiosis tissue regeneration. form...
An enhanced dynamic Delaunay Triangulation-based (DT) path planning approach is proposed for mobile robots to plan and navigate a successfully in the context of Autonomous Challenge Intelligent Ground Vehicle Competition (www.igvc.org). The course requires application vision techniques since it involves path-based navigation presence tightly clustered obstacle field. Course artifacts such as switchbacks, ramps, dashed lane lines, trap etc. are present which could turn robot around or cause...
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with special emphasis on ground movement operations. Hence, Mamdani FRBS the capability learn from data has been adopted for taxi time estimations at Zurich Airport (ZRH). Linear regression currently dominating technique such an estimation task due its established nature, proven mathematical characteristics and straightforward explanatory...
On-demand broadcast is an effective wireless data dissemination technique to enhance system scalability and capability handle dynamic user access patterns. Traditional on-demand under the assumption that only one item can be retrieved by mobile clients in each time unit. However, above constraint limits bandwidth utilization throughput of systems. In this paper, we consider with network coding real-time environments. We analyze problem transform it into finding maximum clique graph theory....
For the autonomous operations of unmanned aerial vehicles (UAVs), path planning satisfying collision avoidance plays an essential role in navigating through dynamic and uncertain environments. To this end, a probabilistic collision-free method based on Rapidly-exploring Random Tree (RRT) is presented paper. This employs chance constraints to find trajectory desired safety requirement for UAV under location uncertainties both model itself or obstacles. By assuming Gaussian distributions,...
The status of an operator's situation awareness is one the critical factors that influence quality missions.Thus measurement method important topic to research.So far, there are lots methods designed for status, but no model can measure it accurately in real-time, so this work conducted deal with such a gap.Firstly, collect relevant physiological data operators while they performing specific mission, simultaneously, their by using global assessment technique (SAGAT), which known accuracy...
Multiple unmanned aerial vehicle (UAV) team often needs to perform some certain tasks cooperatively. In the process of UAVs performing these tasks, bandwidth communication network will affect task assignment results, then problem allocation for multi-UAV teams under condition limited is considered. For a target, need reconnaissance, attack and assessment in coordination. The Consensus-Based Bundle Algorithm(CBBA) requires each assigned no more than one UAV, so this paper extends CBBA by...
In real-life systems, people cannot get precise data. The data are represented in the forms of interval or multiple intervals many cases. Most intelligent algorithms designed for algorithm research. People always use a real number contained as candidate However, such measure will lose lots information intervals. Fuzzy Cognitive Map (FCM) is one famous algorithms. Grey (FGCM) was proposed to enable FCM do computation. But FGCM can only deal with single interval, intervals, powerless. Thus,...
On-demand broadcast is an effective wireless data dissemination technique to enhance system scalability and capability handle dynamic access patterns. Previous studies on time-critical on-demand were under the assumption that each client requests only one item at a time. With rapid growth of information services in emerging applications, there increasing need for systems support efficient processing real-time multi-item requests. Little work, however, has been done. In this we study behavior...
With the rapid development of intelligent algorithms, it has become an inevitable trend to use algorithm with high intelligence and strong adaptability for robot path planning. Differential evolution (DE) is a typical applied in planning, yet there still exist some disadvantages, such as local optimum computational redundancy. Aiming at these defects, this paper proposed improved differential (IDE) planning problem. In algorithm, chaos initialization population method used improve ergodicity...
This paper deals with the Threat Assessment problem from perspective of Situation Awareness. is a significant aspect intelligence for unmanned aerial vehicles (UAVs) in modern air combat. We divide into three aspects according to framework Based on this model, Fuzzy Grey Cognitive Map battlefield constructed and validated. The which proposed recently kind extensions Map. To make comparison, correspondingly, results show that has remarkable ability process uncertainty data system, thus, it...
With the increasing complexity of today's battlefield environment, workload level pilots greatly affects smooth execution flight tasks. When a pilot's is too high, it can cause his ability to sense surrounding environment be reduced, and even extremely dangerous accidents. Based on experiments statistics, sensitivity EEG (electroencephalography) physiological factors under different tasks analyzed, pilot evaluation model established based SVM (support vector machines) classifier.
This paper studies the formation flight and obstacle avoidance control of UAV clusters based on backbone network. Firstly, distributed flocking algorithm is applied to cluster method can make network have good scalability ensure connectivity when topology switched. It also all UAVs in swarm asymptotically achieve velocity consensus avoid collision between UAVs. Then, for splitting problem during process avoidance, this proposes a leader-follower strategy, which makes subnet only acquire...