When high-dimensional texts are adopted as input,images generated by the previously proposed deep convolutional generative adversarial network (DCGAN) model usually suffer from distortions and structure degradation due to the sparsity of texts, which seriously poses a negative impact on the generati...

There are some problems in railway object intrusion detection in infrared weak light environment, such as insufficient target feature extraction, low detection accuracy and real-time performance. Aiming to those problems, an anchor-free object intrusion depth learning model based on CenterNet target...

To solve the accuracy of fault identification of wind turbines under complex working conditions, coupling, and uncertainty, an AE-BN fault diagnosis method based on a auto-encoder (AE) and Bayesian network (BN) is proposed. AE is used to extract the characteristics of the current signal, and the cha...

Currently, the aerospace industry has increasingly strict requirements for flow measuring, and therefore, studying the dynamic characteristics of the flowmeter is of great significant for improving the measurement performance and online measurement performance in various environments. In this paper,...

The calculation of super-cooled droplet impingement characteristics is the basis for the prediction of ice shape and the performance analysis of anti-icing and de-icing systems under icing conditions. Eulerian and Lagrangian methods are the commonly used ones, and their predictions are usually consi...

Combining a method for skiving cylindrical gear with one for machining face gear is suggested in order to increase the processing effectiveness of face gears. First, the principle of the skiving machining is analyzed, and the machining motion model and the skiving coordinate system are established. ...

Embedded systems are widely used in safety-critical industrial fields, but currently the safety of embedded systems lacks a comprehensive analysis. Therefore, a fault evolution chain analysis method for embedded systems has been proposed, which integrates failure probability and failure path. Firstl...

The cavity flow widely exists in aircraft, and the flow in embedded weapon bay is one of the most typical cavity flows. The cavity flow has a complex structure and generates strong pressure fluctuations due to the interaction of shear layers, vortices, and shock waves. Using the unstructured hybrid ...

During the prelaunch phase, the process control combines test models with subjects to enable the design and modification of satellite test and evaluation procedures. Since non-structural words and images are mostly used to describe and build the technical process of the satellite at the launch site,...

To address the problem of multi-aircraft cooperative interception of maneuvering targets, a cooperative guidance method considering interception time constraints is proposed based on the finite-time sliding mode control method and consistency theory. Based on the relative kinematics and dynamics, a ...

The aircraft landing stage poses the highest risk of flight accidents and demands the most rigorous technical skills from pilots. Thus, a scientific assessment system should be established to accurately evaluate pilots’ technical skills of landing control, identify their technical defects, and formu...

Discharge chamber configuration is the foundation and core of ion thruster structure design, which directly influences the working efficiency of the discharge chamber and in-orbit lifetime of the thruster. Aiming at the application requirement of new complex aerospace equipment for ion thruster with...

To explore the main characteristics and energy conversion mechanism of rotational inertia hydraulic converter (RIHC). Using a rotating inertia hydraulic converter configuration powered by an analogous rapid switching valve, the overall theoretical model was developed to investigate the key features ...

The neural stochastic differential equation model (SDE-Net) can quantify epistemic uncertainties of deep neural networks (DNNs) from the perspective of a dynamical system. However, SDE-Net faces two problems. Firstly, when dealing with largescale datasets, performance degrades as network layers incr...

Quadrotor swarms can be used for regional reconnaissance to establish the cognition of the environment and targets. This study offers a distributed cooperative search algorithm and a dynamic target surrounding technique for quadrotor swarm to solve the challenge of locating and monitoring targets in...

The effect of the sizing agent on the surface modification of high-performance carbon fiber (CF) and the modulation effect on the interface performance of its composite is very important. In this paper, the aerospace-grade T800 carbon fibers prepared by the wet method are used, and the changes in th...

Hexagonal thin-walled structures are widely used in the field of energy absorption and protection. To improve the energy absorption performance of hexagonal thin-walled tubes, in this study, a comparative study on the collapse modes and energy absorption performance of the conventional and re-entran...

In the research on the construction of large and medium-sized parking lots in cities, the current focus is mainly on hardware upgrades and simple human-computer interactions. However, neither the low use of big data nor the divergence between digital simulation and actual things has been resolved. B...

Under the action of aerodynamic forces, flexible wings undergo large deformations, for which geometric nonlinearity cannot be ignored. By taking advantage of their slenderness, flexible wings can be modeled as beams. This paper developed the dynamic equilibrium equations of nonlinear beams based on ...

A YOLOv5s-based helmet detection improvement method is developed in an effort to address the drawbacks of existing safety helmet recognition algorithms, which include difficulty detecting small targets and dense targets. The DenseBlock module is used to replace the slice structure in the backbone ne...

A dynamic model of the stratospheric aerostat was built with the goal of controlling the aerostat's altitude while taking air temperature into consideration, and a method based on the deep Q-network (DQN) algorithm was developed. Due to the difficulty in predicting the stratospheric wind field and t...

To solve the problems of missing and fast maneuvering non-cooperative space targets during the point cloud registration, this study examines the point cloud registration process of time-of-flight (TOF) cameras. It proposes a point cloud registration strategy based on Hough transform, utilizing the f...

Since most research on competing failure reliability do not take the unpredictability of the failure threshold into account, a competing failure reliability model that takes the randomness of the failure threshold into account is devised. The variation of degradation quantity and degradation rate un...

A signal modulation recognition method is proposed based on AdaBoost.M2 algorithm to address difficult identification of signals from the same family of modulation types and the poor generalization of the deep learning model. An improved method of sample weight is proposed to solve the problem that ...

The area optimization of fixed polarity Reed-Muller (FPRM) circuits is one of the most important research hotspots in the field of integrated circuit design. However, the existing area optimization methods have problems such as low optimization efficiency and poor optimization effect. Since the area...

The existing path planning algorithms seldom consider the problem of security, and the traditional proximal policy optimization(PPO) algorithm has a variance adaptability problem. To solve these problems, the Safe-PPO algorithm combining evolutionary strategy and safety reward function was proposed....

Aiming at the problems of relatively few studies on actuator fault diagnosis of on orbit spacecraft, relatively simple background modeling for attitude control system and weak algorithm autonomy, an autonomous fault diagnosis method for spacecraft flywheel based on kernel principal component analysi...

The flight test is a scientific, practical, dangerous, and complex process, and the current method of determining flight test requirements based on experience is rather unscientific. Combined with the characteristics of flight tests and based on DoD architectural framework 2.0, this paper proposes a...

To address issues such as the need for controller design based on model information in UAV formation and the low level of UVA intelligence, deep reinforcement learning is used to solve formation control problems. In this paper, the corresponding reinforcement learning elements are designed for the f...

The room temperature Curie point ceramic-based positive temperature coefficient material has broad application prospects in the field of thermal control at room temperature, but it currently has the problem of large resistivity in the low-temperature region. Based on this, by using Ba_0.64Sr_0.36TiO₃ ...

Pedestrian tracking across non-overlapping camera views is one of the basic problems of intelligent visual surveillance. A cross-view pedestrian target tracking method based on the gait features of a 2D skeleton diagram and space-time constraints is proposed in order to address the issue that the pe...

In order to address the issue of error correction of the geosynchronous orbit (GEO) targets under the dense track, a real-time correlation algorithm for the GEO targets based on the two-dimensional of radar range and velocity measurement was developed. Firstly, the initial target set is established ...

The aviation static inverter (ASI) is a key part of the airborne power system, and inorder to further improve the efficiency and reliability of the ASI, an efficient and Ihighly reliable circulation-free ASI topology is proposed on the basis of thedual-input dual-Buck inverter technology. The topolo...

Aiming at solving the problems in the original sparrow search algorithm (SSA), such as low search accuracy, weak global search ability, slow convergence speed and easy tendency to fall into local optimum, a hybrid strategy-based sparrow search algorithm (HSSA) is proposed. First, an improved Circle ...

The corrosion and fatigue tests of a certain type of aircraft fuselage panel lap structure were conducted alternatively. Based on the test results and the concept of aircraft structure life envelope, the life envelope of the lap joint structure of the fuselage panel in different service areas and un...