bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical modeling and verification of reactive projectile impacting plate
Authors: Zhang Jiahao , Zhao Hongwei , Zhou Sheng , Yu Qingbo 
Published: June 2023

Abstract
The penetration of reactive projectile into target is an extremely complex thermomechanical coupling process, and most of the researches reveal this coupling mechanism by means of experiments. In this paper, based on the finite element simulation software ANSYS/LS-DYNA, using IGNITION_ANG_GROWTH state equation and Null constitutive model, the process of reactive projectile penetrating target is numerically modeled, and the numerical simulation model is verified by ballistic impact test. The test results are in good agreement with the simulation results. Further, according to this numerical simulation model, the ballistic limit of reactive projectile penetrating target is studied. The results show that the IGNITION_ANG_GROWTH state equation and Null Constitutive model can be used to calculate the mechanical and chemical coupling responses of the reactive projectile in the process of penetration plate effectively based on the SPH algorithm. This provides a new method to study the reactive projectile penetration-explosion coupling process.
Study on jet formation and penetration behaviour of shaped charge with reactive material composite liner
Authors: He Suo , Xiang Jingan , Cai Yiqiang , Guo Huanguo 
Published: June 2023

Abstract
The shaped charge with reactive material composite liner could not only meet the requirement of the after-effect damage behavior, but also achieve a deeper penetration capability. Based on the platform of AUTODYN-2D code, the jet formation characteristics of the reactive material-titanium liner shaped charge and its penetration behavior to multi-spaced plates were studied. Numerical simulations showed that with increasing of the detonation pressure of explosive, the tip velocity of the composite jet and its penetration capability increased, but the reactive material liner was subjected to the higher pressure and the temperature rise within the elements was larger. In addition, the influence of the standoff and the protective steel block thickness on the penetration behavior of the reactive composite jet was investigated. As the standoff increases from 0.5 CD to 3.0 CD, the penetration capacity of the composite jet increased, but the mass of reactive materials follow-in the spaced plates decreased. With increasing of the steel block thickness, the penetration capability of the reactive material-titanium jet and reactive material follow-in behavior decreased gradually.
A numerical simulation approach for the residual prestress of composite barrel with non-round section of railgun with tension winding
Authors: Yin Dongmei 
Published: June 2023

Abstract
In order to obtain the distributions of residual prestress of the filament wound composite barrel with non-round section for railgun caused by the winding tension, a new numerical approach is provided. Based on the idea of considering the fiber bundles as the main load-bearing material for each winding layer, the loading of the initial winding tension in the winding process can be simulated through loading the initial tensile stress of the fiber bundles in fiber direction of the winding layers’ elements. Firstly, combing with the element birth and death technology, a three dimension finite element model for a hybrid filament wound cylinder with metal liner is established to simulate its residual prestress caused by winding tension. Its results are compared with the ones obtained by the theoretical model, which verifies that this numerical simulation method is reliable to some extent. Then, this numerical simulation method is adopted to analyze the residual prestresses of the filament wound composite barrels with non-round section for railgun, which are under three different winding tension control modes respectively. The results can provide some references to the initial design of the filament wound composite barrel with non-round section for railgun.
Preparation, structure and mechanical properties of SiC particle reinforced titanium-aluminum layered composites
Authors: Yang Lin , Yang Di , Sun Mengyong , Tong He , Wang Shuai , Guo Chunhuan 
Published: June 2023

Abstract
Ductile Ti in Ti/Al3Ti laminated composites only improves the plasticity of Al3Ti, but does not increase the strength of Al3Ti essentially. The silicon carbide particles have excellent properties such as low density, low expansion, high hardness, high stiffness, high elastic modulus and isotropy, which can be used in layered composite Ti/Al3Ti to further improve its strength. In this paper, the SiC particle-reinforced Ti/Al3Ti laminated composites were prepared by ball milling, and its microstructure was characterized by scanning electron microscope(SEM), energy dispersive spectrometer(EDS) and other testing methods, and the phase was calibrated by X-ray diffractometer. The physical and mechanical properties were tested, and the fracture mechanism of SiCp-Ti/Al3Ti laminated composites was analyzed.
Research on the Effect of Modulation Ratio on the Firing Performance of Reactive Bridge Films
Authors: Yu Ke-Xin , Ren Xiao-Ming , Wang Zhuo , Shi Min-Ke , Liu Hong-E , Chu En-Yi 
Published: June 2023

Abstract
In this paper, we mainly design two modulation ratios of Al/Ni reactive films, prepare TaN@(Al/Ni) by MEMS (Micro-Electro-Mechanical Systems) technology, and conduct firing experiments using capacitive firing. The experimental results show that the modulation ratio has a large effect on the firing performance of reactive bridge films, and the action process of the reactive film can be clearly observed by high-speed photography.
An image restoration method for motion-blurred objects
Authors: Ge L , Dou L 
Published: June 2023

Abstract
In military applications, the motion of high-speed objects usually causes motion blur in images, which makes it difficult to detect objects. We propose an image restoration method based on the line features and the degradation process of motion-blurred images. By analysing these features, we can estimate the motion state of the target and restore the images. The images processed by this method can get better performance in tasks like object detection and object tracking.
Acousto-optic Multi-source Information Fusion Algorithm for Outdoor Pedestrian Detection
Authors: Su Zilong , Feng Hengzhen , Zhao Fei , Xuan Weikun 
Published: June 2023

Abstract
The inefficiency of traditional rescue methods is a serious threat to the life and health of outdoor people in distress, so the research on pedestrian identification for outdoor rescue has important theoretical significance and application value. In order to solve the problem of low probability of recognition based on signal information in traditional methods, an outdoor pedestrian recognition model based on acousto-optic information fusion is constructed. Considering the characteristics of the information source, the directional gradient histogram of the infrared image and the Mel Cepstral Coefficients of the acoustic signal are selected as the factors affecting the recognition probability, and the pedestrian recognition probability correlation equation is deduced; Based on the improved D-S evidence theory of fuzzy system, a pedestrian recognition method based on infrared image and sound signal is proposed, and the mapping relationship between two kinds of information sources and detection probability is established to improve the pedestrian recognition probability. The hardware-in-the-loop simulation results show that the pedestrian recognition probability of fusion of infrared image and sound signal is higher than that of single information, which provides an efficient and reliable method for outdoor rescue.
A Detection Technique of Laser Pyrotechnics Sealing Quality Based on 3D Microscope with Super Depth of Field
Authors: Zhao Jia , He Aifeng , Jing Bo , Cao Chunqiang , Diwu Mingjie , Lu Feipeng 
Published: June 2023

Abstract
Glass sealing is one of the key technologies in the assembly of laser pyrotechnics, the sealing quality will significantly affect the action performance of pyrotechnics. Therefore, it is necessary to detect the sealed laser pyrotechnics and eliminate unqualified products to improve the reliability of pyrotechnics. 3D microscope with super depth of field can realize stereoscopic observation, real-time measurement and high-definition imaging. It can be used to observe the microscopic morphological characteristics that cannot be directly seen by naked eye, and can also be used to carry out dimensional measurement. Thus, it has a desirable application prospect in many fields. In this paper, a quality detection technique of laser pyrotechnics sealing based on 3D microscope with super depth of field is explored, and the sealing effect of laser pyrotechnics is tested. This technique can be used to improve the glass sealing technics and enhance the reliability of laser pyrotechnics.
Infrared fiber bundle image super-resolved based on computational imaging
Authors: Wang Bowen 
Published: June 2023

Abstract
As the representative of flexibility in optical imaging media, in recent years, fiber bundles have emerged as a promising architecture in the development of compact visual systems. Dedicated to tackling the problems of universal honeycomb artifacts and low signal-to-noise ratio (SNR) imaging in fiber bundles, the iterative super-resolution reconstruction network based on a physical model is proposed. Under the constraint of solving the two subproblems of data fidelity and prior regular term alternately, the network can efficiently “regenerate” the lost spatial resolution with deep learning. By building and calibrating a dual-path imaging system, the real-world dataset where paired low resolution (LR) - high resolution (HR) images on the same scene can be obtained simultaneously. Numerical results on both USAF target and complex target objects demonstrate that the algorithm can restore high contrast images without pixilated noise. On the basis of super-resolution reconstruction, compound eye image composition based on fiber bundle is also realized in this paper for the actual imaging requirements. The proposed work is the first to apply a physical model-based network structure to fiber bundle imaging in the long-wave infrared band, effectively promoting the engineering application of thermal radiation detection.
Design of the Automatic Gain Control Device in the Laser Seeker
Authors: Lang Bo , Huang Qiang , Mi Changwei , Liang Yuan , Bing Liang , Zhang Xiaoliang , Xue Lu , Wang Ao 
Published: June 2023

Abstract
The change of the laser echo energy received by the laser seeker during detection is too large, it is easy to saturate the input voltage of the signal processing circuit, which resulted the laser guided bombs lost the target. In this paper, an automatic gain control device for the laser seeker based on FPGA control is designed. This device is suitable for low-cost laser guided bomb because of simpleness and applicability.
Sparsely sampled Fourier ptychography in diffuse reflection
Authors: Li Sheng 
Published: June 2023

Abstract
Fourier ptychography microscopy combines the idea of aperture synthesis, which enables the synthesis of multiple low-resolution images in the frequency domain to achieve large field-of-view and high-resolution imaging results. The Fourier ptychography imaging technique applied to the field of far-field diffuse reflectance imaging needs to consider the impact of diffuse reflectance speckle formed by the object’s rough surface on the imaging results. Therefore, far-field diffuse reflectance Fourier ptychography often requires more than microscopic imaging of low-resolution images to achieve super-resolution. In response, we design a sparse sampling method that can reduce the number of required low-resolution images to one-fourth of the original sampling, and does not affect the imaging resolution. Experimental results show that our method can significantly improve imaging efficiency and achieve super-resolution far-field imaging with fast sampling.
3D observation instrument for pathology tissues
Authors: Liang Zhongwei , Mu Shuang , Hu Yan 
Published: June 2023

Abstract
Pathology telemedicine uses digital data of pathological samples to acquire technical support from sophisticated remote experts, aiding cancer diagnosis in less developed regions. In this paper, we propose a color 3D observation system composed of three cameras and a digital projector, achieving complete range 3D imaging of pathology tissues. A new phase mapping method for the projector calibration is proposed by locating the geometric centroid of the checkboard’s white squares, avoiding the center positioning error of traditional circular markers introduced by perspective distortion. A denoising method successively using amplitude modulation judge, phase monotonicity check, and phase abruptness constraint is proposed, which facilitates obtaining clean 3D point clouds.
Edge detection algorithm for noisy remote sensing image using directional filter
Authors: Zhang He , Zhang Kaimin , Wang Fan , Qian Weixian 
Published: June 2023

Abstract
Remote sensing image edge detection is the basis of remote sensing image registration and recognition. In view of the noise formed in the process of remote sensing image acquisition, a new edge detection algorithm based on directional filter is proposed to improve the accuracy of remote sensing image registration and recognition. The directional filter is based on wavelet transform denoising, and three main features including scale, direction and shape of wave are introduced. The target edge can be identified more accurately in the noisy image by the directional filter, and the edge detection result image is obtained by binarization segmentation and non-maximum suppression. Through experimental comparison with other denoising detection algorithms, more accurate edge detection results can be obtained, and there are obvious advantages in operation efficiency.
Infrared Small Target Detection Based on Isolation Constraint Under Complex Background
Authors: Wang Fan , Zhang He , Qian Weixian 
Published: June 2023

Abstract
In the development of infrared search and track (IRST) system, small target detection in complex background is a challenging task due to the low signal-to-noise ratio (SNR) of small targets and interference of irregular clutter. In this paper, a detection method based on isolation constraint is presented. Firstly, the suspected region with certain contrast is obtained by multilayer gray difference (MGD). Then we calculate the isolation index of the suspected region using the eigenvalues of Hessian matrix of the raw image to suppress the irregular clutter. In order to get accurate size of the target, a local scale estimation method is proposed. Experiment results demonstrate that the proposed method is accurate and robust, and superior to baseline methods in signal-to-clutter gain (SCRG) and receiver operating characteristic (ROC) curve.
Recent advances for water-stable metal-organic frameworks (MOFs)
Authors: Cao Xin , Li Haijian , Yi Jianhua , Zhao Fengqi , Hao Yucheng 
Published: June 2023

Abstract
Metal-organic framework (MOF) compounds have been widely studied and explored for many years due to their diversity of structure and composition. It is a new kind of framework material because of its high specific surface area, high porosity, and adjustable pore structure and internal environment. It has unlimited development prospects in gas storage, separation, catalysis, chemical sensing, and other related fields. Therefore, MOFs have attracted great and extensive attention. This paper mainly summarizes MOFs materials with good water stability, and stability of MOFs compounds under various harsh environmental conditions was analyzed, and the synthetic method and properties of these MOFs materials were summarized. In conclusion, this paper for the summary of the water-resistant MOFs compounds is helpful to provide a good guide to finding or creating other novel water stability MOFs functional materials.
Ship Classification Based on Density Features in SAR Images
Authors: Yang Longshun , Guo Pengcheng , Wang Jingjing , Feng Chao 
Published: June 2023

Abstract
Ship classification in SAR images has attracted much attention by researchers. In this paper, a SAR target classification method for three commercial ships (container ships, bulk carriers and oil tanker) is proposed by analyzing their scattering features. Firstly, the ship slice is preprocessed to obtain the binary image, from which the density features can be extracted, which describing the ship scattering point distribution. Finally, the support vector machine (SVM) classifier is applied to classify these three types of commercial ships. The experimental results show that the classification accuracy of structure feature and strength feature is low, while the proposed density feature can reach 80% for three types of ships. The combination of structure features and strength features with density features can improve the classification accuracy. Combining the three features has the best classification performance.
Siamese Network with multi-scale fusion attention for Visual Tracking
Authors: Shangjie Xue , Wenjin Yao , Wenjun Yang 
Published: June 2023

Abstract
The existing trackers based on the Siamese network have poor tracking robustness in the face of complex situations such as target occlusion, rapid target movement and scale changes. To address this problem, we propose a new tracking framework based on the Siamese network with multi-scale fusion attention. The algorithm proposed in this paper increases the receptive field of the last two layers of the backbone network, strengthens the ability to capture target information, and outputs the last three layers of the backbone for feature fusion. We add an improved visual attention model, and the multi-scale channel attention model is used for the first time in this work, so as to strengthen the long-range dependence of feature information and the learning of channel attention, so that the network can select better salient features of the target. In this paper, to avoid to generate complex hyper-parameters for the target candidate frame and speeds up the training speed of the network, we introduce an anchor-free classification and regression network model. The experimental evaluation conducted on the OTB100 and VOT2016 datasets shows that the algorithm in this paper has good robustness in the face of challenges such as target occlusion, rapid target movement and scale changes, and effectively improves the accuracy of our algorithm.
Enhance Terahertz Image Resolution via Complex-valued convolutional neural networks
Authors: Hu Nairui , Qi Feng , Li Yufeng 
Published: June 2023

Abstract
Terahertz imaging technology is widely used in nondestructive testing (NDT), human security inspection, far-field imaging systems, and so on. Improving image resolution is always a topic of discussion. For visible image and image super-resolution, the convolutional neural network (CNN) has achieved a better improvement effect than the traditional algorithm. Compared to optics, it is quite feasible to gain both the amplitude and phase information in THz imaging, the Complex-valued convolutional neural network (CV-CNN) is better suited for the field of terahertz imaging than the real-valued neural network. In this paper, A lightweight complex-valued neural network is constructed which enhances terahertz imaging in a vector network analyzer (VNA) imaging system. Compared to CNN, CV-CNN has a better peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), and it is significantly less vulnerable to overfitting. Phase information can be used well at the same time, which is impossible for CNN. The network is trained using the MNIST dataset and verified by using simulated and measured data obtained from a 200Ghz imager.
Numerical study on damage effects of segmented reactive-core penetrator impacting double-layer steel targets
Authors: Qi Y X , Jiang C L , Wang Z C , Hu R , Xu W Y , Mao L 
Published: June 2023

Abstract
Reactive penetrator has stronger damage effects due to the combination of penetration and blasting. In this paper, numerical simulations are carried on by LS-DYNA to understand the penetration mechanism of a new type of segmented reactive-core penetrator. The primary core and secondary core are made of W/Zr reactive alloy and PTFE/Al reactive composite respectively, which are coated by a steel shell. Different from the Penetrator with Enhance Lateral Effect (PELE), the penetrator in this investigation performs a “self-sharpening” behaviour due to its high-density primary core and prefabricated groove. It is shown that the impact velocity of the penetrator has an influence on the fragmentation of targets, and there is a good balance between penetration ability and chemical reaction.
Terahertz near-field imaging of graphene disks
Authors: Xu Xingxing , Zhang Xiaoqiuyan , Zhang Tianyu , Liu Shenggang , Hu Min 
Published: June 2023

Abstract
Due to the weak power of Terahertz sources, metal tips are often used to enhance the signal intensity of the Terahertz scattering scanning near-field optical microscope (THz s-SNOM). However, while enhancing the near-field, metal tips also affect the field distribution on the sample surface. In this paper, a home-built 97.8GHz sub-Terahertz near-field imaging system was used to image graphene disks with dozens of microns in diameter. It was found that the field distribution was significantly different from that without the tip, and was related to the incident direction of the terahertz wave.
Experimental investigation of breakup times of droplet under the action of shock wave
Authors: Zhao Jiaxing , Yue Yajun , Jiang Lin 
Published: June 2023

Abstract
In this paper, the morphological characteristics and breakup time of droplet under the action of shock wave were investigated experimentally. Morphological characteristics of droplet were captured by high-speed photography. By varying the diameter of droplets and taking the influence of the shock wave Mach number into consideration, eight tests were performed in the experiments. The experimental results showed that under the action of the shock wave, the droplet underwent two different stages: the deformation stage and the atomization stage. In the deformation stage, the droplet evolved from spherical shape to pineal shape under the action of accompanying airflow induced by shock wave. In the atomization stage, the growth of unstable wave on the surface of the droplet caused by the Rayleigh–Taylor instability was the main reason for the droplet to be atomized. The effects of initial diameter and shock Mach number on atomization time were analysed. The decrease of initial diameter and the increase of shock Mach number reduced the droplet atomization time. The Mach number played a dominant role in the breakup process of the droplet.