A bimodal text-guided image inpainting model is proposed to address shortcomings of the existing image restoration algorithms, such as the restored results are poor and uncontrollable when repairing large areas of distortions due to lack of sufficient contextual information. The proposed algorithm i...

At present, temperature stress is not calculated in the design of airfield cement concrete pavement in China. The finite element model is established to simulate the temperature field of the structure and analyze the temperature stress of the slab using the case of an airport in North China, its met...

The time difference of arrival (TDOA) can be used for airport surface multilateration (MLAT). In order to resolve the problems which include large time delay standard deviation, long baseline, poor vertical positioning accuracy, and difficult layout design, etc. A base station cluster layout of mult...

A method based on a reliability truth table for evaluating the importance of jointless track circuit (JTC) compensation capacitor is developed in order to assess the significance of compensation capacitors at various points of JTC. Firstly, an adjustment state model and a shunt state of the JTC are ...

A new double closed loop and prescribed performance control method based on adaptive dynamic-surface frames is proposed for the uncertain quadrotor UAV with unknown external airflow disturbance, air resistance and time-varying load. During the design process, the four-rotor UAV system is decoupled i...

To investigate the effect of active endwall control on reducing the influence of rim seal flow on the mainstream passage, this study analyzed the aerodynamic losses of the interaction between the purge flow and the main flow, and the effect of the endwall profiling on the losses reduction, based on ...

For the 3D point cloud collected by the LiDAR on the intelligent vehicle in the park environment, there exist some problems, for example, the obstacles far away from the LiDAR are easily missed, adjacent obstacles are prone to incompletely or excessively differentiate, and the algorithm is time-cons...

The data-driven remaining useful life (RUL) prediction method does not rely on complicated physical models; instead, it can use current monitoring data as well as historical operational data for the equipment, which is very important for developing a reasonable maintenance strategy and lowering the ...

An optimization method appropriate for the irregular fuel tank inerting system is proposed based on the Entropy-weight improvement TOPSIS method in order to address the issues of uneven oxygen distribution and insufficient inerting when the irregular fuel tank is inserted. When combined with the num...

This paper proposes a deep learning based visual detection and grasping method to solve the problems of the existing robotic grasping systems, including high hardware costs, difficulty in adapting to different objects, and large harmful torques. The channel attention mechanism is used to enhance the...

Ultrasound imaging has become one of the common examination methods in clinical diagnosis due to its advantages of economical, portable, radiation-free, and real-time imaging. Vascular ultrasound imaging can not only reduce intraoperative radiation but also realize the preliminary judgment of vascul...

The optimization of the life reliability of turbine blades is of great significance for the safety and service life improvement of aeroengines. The traditional deterministic optimization method does not consider the influence of uncertain factors, which tends to cause low structural reliability, ser...

The design of an aircraft wing anti-icing system mainly includes the anti-icing heat load calculation, piccolo tube design, anti-icing cavity design, and anti-icing system verification. This paper introduces the first part of a series study in this respect. With an aircraft wing as an example, the h...

With the rise of the physical-informed neural network (PINN) model, the PINN model has been applied to many subjects. With the aid of the missile engineering algorithm, the missile aerodynamic data set is created in order to train the multi-task learning neural network (MTLNN) model and the physical...

Aiming at the problem that it is difficult to infer the attack intention of UAV clusters effectively,in this paper, a UAV cluster motion model is proposed based on cluster coordination rules and a Markov bridging distribution derived from an integrated Ornstein-Uhlenbeck（IOU） motion process with exp...

This paper proposes a novel task for saliency-guided image translation, with the goal of image-to-image translation conditioned on the user specified saliency map. To address this problem, we develop a novel generative adversarial network (GAN) method -based model, called SalG-GAN method. Given the ...

Under the global COVID-19 pandemic, the various international flight policies and the huge decline in international routes and passengers have had a significant impact on the structural characteristics of China’s international air transportation network. It is important to analyze the characteristic...

A clamping force sensorless servo control strategy under strong coupling conditions is proposed for low-floor trams with an electromechanical brake (EMB) system. Firstly, based on the torque characteristic curve of the system, an EMB clearance adjustment strategy is proposed, which does not depend o...

Accurate short-term traffic state prediction is an important basis for effective traffic management and control. The planned special events (PSEs) generate abnormal traffic demand around the venue in a short time. However, due to the limited number of the special events and the difficulty in data sa...

Maritime search, aviation anti-submarine, and other maritime activities often need to comprehensively search the target sea area. After studying the shortcomings of the expanding square search method, an expanding hexagon search method based on the cellular structure is proposed. A theoretical analy...

Hypersonic boundary-layer transition generates a significant increase in skin friction and heat flux, which leads to severe restrictions on the performance of hypersonic vehicles. Micropore surfaces have a significant deal of potential for application since they can successfully prevent boundary lay...

Ground air conditioners are the main equipment for cooling and dehumidification of airplane cabins, so accurate prediction of their energy consumption in the working process plays an important role in building green airports. The energy consumption of the ground air conditioner is affected by multid...

Aiming at the defect that the fixed-wing aircraft can not always be in the optimal aerodynamic configuration in the complex and changeable flight environment, the wing design concept which can adapt to the deformation according to the flight environment parameters is proposed. A wing is designed in ...

The multi-field coupling modeling and solution of the friction pair of the piston pump is the basis for the study of the failure mechanism of the piston pump and the improvement of its reliability. To resolve the difficulty, in solving the multi-field coupling model of the spherical port pair of the...

In order to solve the problem that traditional performance evaluation methods cannot accurately evaluate the performance of swarm intelligence algorithms, a comprehensive performance evaluation method for swarm intelligence algorithms based on the improved radar graph method was proposed. Six perfor...

An enhanced sparrow search algorithm based on a good point set (GSSA) is developed to address the sparrow search algorithm (SSA) weak starting population quality, instability, and susceptibility to local optimization. Firstly, adding a good point set makes the initial population more uniform and imp...

An adaptive control approach for space inertial sensors based on disturbance observers is proposed to address the issue of ultra-high precision control of inertial sensors inside spacecraft for gravitational wave detection. It will apply to the electrostatic suspension control loop for double test m...

An operation risk assessment method is proposed for aircraft components with multiple wear-out failure modes. A multiple failure model is constructed using the fleet operating failure data samples and the mixed Weibull distribution. And the parameter estimation method of the mixed Weibull distributi...

As a highly complex thermal machinery, the prognosis of the remaining useful life (RUL) of an aero-engine is often used as an important guarantee to improve safety and economy. In order to increase the engine’s remaining usable life prediction accuracy, a strategy based on stacked sparse autoencoder...

The speech recognition system is susceptible to noise. In order to filter noise, traditional speech enhancement methods such as spectral subtraction are often used by researchers, but these methods are troubled by “music noise”. To solve this problem, a speech enhancement algorithm based on cubic sp...

An improved MEMS gyroscope noise reduction approach is suggested based on complete ensemble EMD with adaptive noise (CEEMDAN), combined with back-propagation neural network (BPNN) modeling, and Kalman filtering (KF) method in order to effectively suppress the random error of MEMS gyroscope. The orig...

The accuracy of zero-speed zone recognition in the inertial pedestrian navigation system is directly correlated with the accuracy of pedestrian navigation based on the zero velocity update (ZUPT). This paper designs a zero-speed interval detection algorithm based on the combination of nonlinear spac...

The approach of connecting linear correlations between several sets of multidimensional compositional variables known as canonical correlation analysis (CCA) for compositional data streams is widely applicable to the study of economics, administration, geology, and chemistry. In the context of massi...

To address the problems of unknown covariance of measurement noise and non-Gaussian mutation measurement noise in bearings-only target tracking, a square-root continuous-discrete variational Bayesian maximum correntropy cubature Kalman filter (SRCD-VBMCCKF) algorithm is proposed. Firstly, the target...

The consistency of the applied load with or proximity to the actual load on the wing directly affects the load measurement’s accuracy. Due to local strength restrictions, it is challenging to increase the load level during the load calibration test. Additionally, two-way loading cannot be accomplish...