A5059776355- Air Traffic Management and Optimization
- Aerospace and Aviation Technology
- Complex Network Analysis Techniques
- Military Defense Systems Analysis
- Opinion Dynamics and Social Influence
- Advanced Decision-Making Techniques
- Human-Automation Interaction and Safety
- Aviation Industry Analysis and Trends
- Target Tracking and Data Fusion in Sensor Networks
- Simulation and Modeling Applications
- Robotic Path Planning Algorithms
- UAV Applications and Optimization
- Autonomous Vehicle Technology and Safety
- Risk and Safety Analysis
- Guidance and Control Systems
- Anomaly Detection Techniques and Applications
- Microwave Engineering and Waveguides
- Indoor and Outdoor Localization Technologies
- Maritime Navigation and Safety
- Traffic and Road Safety
- Antenna Design and Analysis
- Network Traffic and Congestion Control
- Photonic and Optical Devices
- Traffic Prediction and Management Techniques
- Distributed Control Multi-Agent Systems
Air Force Engineering University
2016-2025
Qufu Normal University
2019
Xihua University
2015
Beijing Jiaotong University
2010-2011
To investigate the propagation mechanism of delays during flight phase aircraft operations, this paper proposes an improved Susceptible-Infected-Recovered (SIR) model-based method for delay analysis. Firstly, correlation between segments is calculated using information flights that pass through to determine probability segments. Then, adjustments made by air traffic controllers after occurrence are simulated, and recovery rate dynamically adjusted based on relationship mitigation level...
A photonic approach to generate triangular waveform signals is proposed and analyzed. With active bias control, two sub-MZMs (MZ-a MZ-b) of a dual-parallel Mach-Zehnder modulator (DP-MZM) operate at minimum transmission point, leaving the main MZM (MZ-c) quadrature point. Triangular can be observed by parameter setting modulation index. The proposal first analyzed then validated simulation. key significance scheme that it capable generating via sinusoid local oscillator.
We theoretically report a novel graphene-based hybrid plasmonic waveguide (GHPW) by integrating GaAs micro-tube on silica spacer that is supported graphene-coated substrate. In comprehensive numerical simulations guiding properties of the GHPW, it was found size mode (TM) can be reduced significantly to ~10-4(λ2/4), in conjunction with long propagation distances up tens micrometers tuning waveguide's key structure parameters and graphene's chemical potential. Moreover, crosstalk between two...
With the development of aviation, air traffic density in terminal area is high and situation relatively complex, which brings challenges to flight deployment. In order fully understand provide decision-making basis for controllers, this paper proposes a key conflict aircraft identification method based on complex network theory node deletion method. First, an state constructed with as nodes airborne collision avoidance system (ACAS) communication relations edges. Network efficiency,...
Probabilistic conflict detection methods typically require high computational burden to deal with complex multiaircraft detection. In this article, aircraft is considered as a binary classification problem; therefore, it can be solved by pattern recognition method. A potential would identified, long its flight data features are extracted and fed classifier which has been trained large number of datasets. Based on this, new method based support vector machine (SVM) employed detect in “Free...
The air traffic density in the terminal area is high and situation relatively complex by development of aviation, which brings great challenges to controller. In order understand flight provide decision basis for controllers, this paper proposes a key conflict nodes identification method based on network theory Analytic Hierarchy Process (AHP)-entropy weight method. Firstly, an aircraft state established with as Airborne Collision Avoidance System (ACAS) communication relations connecting...
Aiming at the problem that air traffic flow is increasing year by and flight conflicts are difficult to be deployed, we take aircraft as node established a conflict network based on relationship between aircrafts. After that, define concept of an optimal dominating set. By removing set nodes network, in can quickly resolved complexity reduced. In process solving introduce immune mechanism particle swarm algorithm (PSO) ensure priority deployment critical high-risk setting two types antigens,...
The study of airspace sector demarcation can help controllers to deal with complex air situations, provide reference for traffic control services, reduce the workload controllers, and ensure safe efficient operation. Based on network theory, this paper proposes a division method based mean shift clustering algorithm Voronoi diagram. Firstly, flight conflict is constructed structural characteristics airborne situation, combined three-dimensional velocity barrier aircraft protected area model....
A novel compact electromagnetic bandgap structure is presented for size reduction. The proposed can be considered as an ameliorated high-impedance surface integrated with a rhombic interdigital structure. This significantly enlarges the fringe capacitance between neighbouring elements to compress overall of measured results show that even more obtained.
Aiming at the problems of difficult handling three-dimensional flight conflicts and unfair distribution resolution costs, we propose a multi-aircraft conflict method based on network cooperative game. Firstly, establish model with aircraft as nodes relationship between node pairs edges. After that, comprehensive index that can evaluate effect strategy. Based concept “nucleolus solution”, alliance all participants, balance interests participants through cost function. In order to improve...
A novel compact electromagnetic bandgap structure is presented. The coplanar meander line inductance adopted to increase the surface equivalent in order improve bandwidth of and reduce unit cell size. measured results show that 54.1% relative 25.2% reduction resonant frequency could be obtained.
This study aims to address the issue of redundancy and interference in data-collection systems by proposing a novel feature-selection method based on maximum information coefficient (MIC) graph symmetry structure complex-network theory. The involves establishing weighted feature network, identifying key features using dominance set node strength, employing binary particle-swarm algorithm LS-SVM for solving validation. model is implemented UNSW-NB15 UCI datasets, demonstrating noteworthy...
In order to objectively and accurately assess the airborne flight posture in trajectory-based operation (TBO) mode, a assessment method based on complex network MFIM-TOPSIS is proposed. Firstly, precise protection zone of different aircraft types established by analyzing risk lateral collision between aircraft, conflict constructed using three-dimensional velocity barrier method, which close TBO air environment, six topology indexes, such as total node degree, average point strength density,...
In response to the challenges associated with forecasting trajectory of flight delay propagation, pinpointing pivotal nodes within route network, and substantial costs involved in enhancing operational efficiency, this study introduces an innovative approach identifying critical that influence propagation across networks. The methodology commences by establishing a network model for East China, leveraging principles complex theory. It then incorporates SEIR...
Flight delays are an important concern in air traffic operation planning and management, rerouting is countermeasure to provide new flight path trajectories for failed flights, reduce delay losses improve airspace utilization. This paper proposes a strategy based on the elastic routing layer of computer network, completed after aircraft identifies failure point bypass flight. The simulation conclusions show that occurrence fault segments, able switch paths achieve operation, which provides...
This paper proposes a flight conflict detection method combining the Velocity Obstacle (VO) approach and Support Vector Machine (SVM). In scenario with 1000 aircraft within 1000×1000 km range three altitude layers, ellipsoid models are used as protective zones for aircraft. Positions velocities of randomly generated, potential pairs filtered using VO to train SVM. The Radial Basis Function (RBF) kernel is employed in SVM identify high-probability pairs, which then confirmed by method....