A5043376642- Military Defense Systems Analysis
- Advanced Measurement and Detection Methods
- Guidance and Control Systems
- Image Processing Techniques and Applications
- Advanced Computational Techniques and Applications
- Fire dynamics and safety research
- Advanced Decision-Making Techniques
- Evacuation and Crowd Dynamics
- Advanced Graph Neural Networks
- Face and Expression Recognition
- Fire effects on ecosystems
- Advanced Neural Network Applications
- Infrared Target Detection Methodologies
- Inertial Sensor and Navigation
- Educational Technology and Assessment
- Domain Adaptation and Few-Shot Learning
- Advanced Differential Equations and Dynamical Systems
- Advanced Image and Video Retrieval Techniques
- Industrial Technology and Control Systems
- Image Retrieval and Classification Techniques
- Military Strategy and Technology
- Fire Detection and Safety Systems
- Machine Learning and Algorithms
- Robotic Path Planning Algorithms
- Metaheuristic Optimization Algorithms Research
Air Force Engineering University
2012-2024
State Grid Corporation of China (China)
2024
Shandong Jianzhu University
2023
U.S. Air Force Space Command
2015
Beihang University
2013
Heze Medical College
2007-2012
The logistics demands of industries represented by e-commerce have experienced explosive growth in recent years. Vehicle path-planning plays a crucial role optimization systems for and distribution. A scheme suitable an actual scenario is the key to reducing costs improving service efficiency industries. In complex application scenarios, however, it difficult conventional heuristic algorithms ensure quality solutions vehicle routing problems. This study proposes joint approach based on...
One important mission of strategic defense is to develop an integrated layered Ballistic Missile Defense System (BMDS). Motivated by the queueing theory, we presented a work for representation, modeling, performance simulation, and channels optimal allocation BMDS M/M/N systems. Firstly, in order simulate process study Effectiveness (DE), modeled simulated system BMDS. Specifically, proposed M/M/N/N M/M/N/C model short depth long depth, respectively; single target channel multiple were...
One important mission of the strategic defense is to develop an integrated, layered ballistic missile system (BMDS). Considering problem assigning limited weapons incoming missiles, we illustrate how weapons, kill probability and effectiveness (ED) are interrelated understand this relationship for achieving best allocation plan. Motivated by queueing theory, in which available resources not sufficient satisfy demands placed upon them at all times, deployed weapon modeled as a shoot Poisson...
In this paper, we are focused on a new ratio-dependent predator–prey system that introduced the diffusive and time delay effect simultaneously. By analyzing characteristic equations distribution of eigenvalues, examine stability boundary positive equilibrium states, existence spatially homogeneous inhomogeneous bifurcating periodic solutions, respectively. Further, prove when [Formula: see text], has Hopf bifurcation at state. using center manifold reduction, simplify so can convert an...
Knowledge graph system is becoming one of the acknowledged approaches for executing transactional works power grid applications. However, due to heterogeneous data structure recent systems in Big environments, traditional machine learning (ML) based knowledge management show limited adoptability. Hence, paper proposed a comprehensive ML framework complex and The mainly involves two which are concept drift detection incremental homogeneous reverse verification transfer among data. tested by...
In this paper, we introduce an agent rescue scheduling approach grounded in proximal policy optimization, coupled with a singularity-free predefined-time control strategy. The primary objective of methodology is to bolster the efficiency and precision missions. Firstly, have designed evaluation function closely related average flying distance agents, which provides quantitative benchmark for assessing different schemes assists optimizing allocation resources. Secondly, developed strategy...
Motivated by insights from the maxout-units-based deep Convolutional Neural Network (CNN) that "non-maximal features are unable to deliver" and "feature mapping subspace pooling is insufficient," we present a novel mixed variant of recently introduced maxout unit called mixout unit. Specifically, do so calculating exponential probabilities feature mappings gained applying different convolutional transformations over same input then expected values according their probabilities. Moreover,...
In this paper, we expanded our computation to obtain a simpler and detailed reduction normal form of delayed reaction–diffusion differential system with Bogdanov–Takens (B–T) singularity. By using the central manifold method, try reduce dimension phase space without changing dynamic behavior system. Next, by theory, simplify equations, then succeeded in obtaining more specific parameterized ordinary on its center manifold. Finally, two examples show that given algorithm is effective.
Abstract:
In this paper, ideas of TBM interception modeling and simulation system design based on Unified Modeling Language (UML) are proposed. Firstly, paper introduces the basic framework for UML modeling. Secondly, static structure model dynamic interactive established. Specifically, description requirements is given by Use Case Diagram, then we Class Diagrams system, give examples target information early warning radar class diagrams, Sequence Diagram Activity describe exchange different objects...
As a core part of battlefield situational awareness, air target intention recognition plays an important role in modern operations. Aiming at the problems insufficient feature extraction and misclassification recognition, this paper designs method (KGTLIR) based on Knowledge Graph Deep Learning. Firstly, model Learning is constructed to mine temporal relationship features using dilated causal convolution spatial graph attention mechanism. Meanwhile, accuracy, recall, F1-score after iteration...