bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of mechanical properties of cased telescoped ammunitions during firing
Authors: Zhang S M , Liu D , Bai C J , Ma C Y , Wang H J , Wang G B 
Published: December 2024

Abstract
In order to solve the cartridge extraction problem of cased telescoped ammunitions, a study was conducted on the dynamic process of cartridge during launching. The finite element simulation model is established firstly to analyse the mechanical properties of the cartridge during launching. Then the radial residual deformation and cartridge extraction force of the cartridge after chamber pressure unloading were obtained. Meanwhile, the effect of different yield limits of cartridge materials on the extraction performance was studied. The results show that as the yield limit of the cartridge increases, the maximum radial residual deformation first increases and then gradually decreases after unloading the chamber pressure, and the extraction force of the cartridge also shows the same trend. When the yield limit of the cartridge is greater than 1040 MPa, the extraction force goes to zero after pressure unloading, and the cartridge can be easily extracted.
Artillery servo system auto-coupling PID control based on improved dung beetle optimizer
Authors: Shen Kai , Han Chongwei , Liu Ye , Zhang Yue , Hu Xin , Zhao Xin , Dai Pu , Hao Qikai , Zhang Ziluo 
Published: December 2024

Abstract
This paper proposes an auto-coupling PID (ACPID) control strategy based on the improved dung beetle optimizer (IDBO) in light of the complex control problems, including nonlinearity, external interference, and internal uncertainty, encountered in artillery servo systems. First, an artillery servo system mathematical model was created. Second, we modified the dung beetle optimizer (DBO) algorithm by incorporating a Levy flight and mutation mechanism, an adaptive weight-changing spiral search approach, an enhanced boundary convergence factor, and PWLCM chaotic mapping. They made convergence go faster, convergence accuracy go higher, and the algorithm’s capacity to avoid local optima and global search got better. Next, we utilized IDBO to optimize ACPID’s speed factor. Finally, the simulation results demonstrated the potential applicability of IDBO-ACPID control in the field of artillery servo control, as evidenced by its quick response time, high control accuracy, strong anti-disturbance ability and robustness.
Visual Explanations from Deep Convolutional Networks for Aerial Image based on Confidence Enhancement
Authors: Song Xue , Congli Li , Zhe Wei , Yongfeng Liu 
Published: December 2024

Abstract
In recent years, the operational mechanism of decision processes in convolutional neural networks has prompted researchers to conduct in-depth research, and formed a visual interpretation theory method based on saliency map. This paper presents a deep convolutional network vision explanations method for aerial images. In this method, the gradient map of neural network is reconstructed by the “Increase of Confidence”, and the saliency map is obtained by combining the weight parameters. The experimental results show that compared with the classical visual interpretation methods, this paper has good subjective visual effect, achieves the best in the two indicators of Average Drop and Average Increase, and has more accurate positioning ability.
Mission Planning Method of Heterogeneous Reconnaissance System Based on Simulated Annealing Algorithm
Authors: Weidong Huang , Qinqin Wang , Junjie Li , Shiseng Jia , Xiaofeng Xu 
Published: December 2024

Abstract
The current methods of reconnaissance mission planning are studied, and the shortcomings of the current methods of heterogeneous reconnaissance mission planning are analyzed. A task planning method based on simulated annealing algorithm is designed, which has the optimal choice of task completion time and path. After defining the time constraint, the passage restriction, the reconnaissance coverage and the platform steering angle constraint, The problem is abstracted as an optimization mathematical problem. At the same time, the problem that the simulated annealing algorithm is easy to fall into local optimum is solved through the scattering point operator. The results show that the algorithm can achieve the autonomous mission planning capability of eight unmanned platforms.
Video Stabilization based on Sub-pixel Keypoints
Authors: Zhong Bihua , Wang Fangyi , Liu Tao , Liu Chengyi , Bai Hongyang , Wan Gang 
Published: December 2024

Abstract
With the continuous advancement of seeker technology and image processing techniques, the precision of guided weapons has increasingly improved. However, due to the rigidly fixed structure between the seeker and the guided weapon, the weapon is prone to experiencing disturbances and vibrations during flight, which can deteriorate the real-time video quality monitored by the seeker and, consequently reduce the precision of the guided weapon. To enhance the precision of guided weapons, it is necessary to mitigate the adverse effects of vibrations through video stabilization techniques. This paper proposes a video stabilization framework based on sub-pixel keypoints detection. It utilizes a lightweight network to detect keypoints, employs the Lucas-Kanade (LK) optical flow method for motion estimation, and smooths the camera’s motion path with an adaptive filter. Experimental results show that the proposed algorithm has an average processing time of approximately 0.2s per frame, achieving a stability index of 0.9262, a PSNR index of 22.3074, and an SSIM index of 0.7188. This demonstrates a balanced performance in terms of computational efficiency and stabilization, exhibiting excellent comprehensive performance.
A Classification Method for Multichannel MI-EEG Signal with FPCA and DNN
Authors: Hou Yunhui , Shen Na , Lin Yubin 
Published: December 2024

Abstract
A new accurate identification method has been proposed to address the lack of interpretability in current deep learning-based feature extraction methods for motor imagery electroencephalogram (MI-EEG) signals. This method combines functional principal component analysis (FPCA) and deep neural networks (DNN) for four classifications of MI-EEG signals. The process involves preprocessing the acquired MI-EEG signals and obtaining power spectral density (PSD) versus frequency curves in the alpha band for multiple channels and samples through FIR filtering. All PSD-frequency curves are then functionally smoothed according to the theory of functional data analysis (FDA). Feature parameters are derived using FPCA, and the parameters of all samples are normalized. Training samples are selected randomly for clustering training with DNNs. Category prediction is carried out on the test data classification samples. This method is applied to 4×120 four-categorized MI-EEG samples, each from six channels obtained from Enobio test, a wireless EEG system from Spain Neuroelectrics, involving left hand, right hand, left foot, and right foot motor imagery at a sampling rate of 500Hz. 80% of the samples were used for training, and the remaining 20% were used for testing. The prediction accuracy ranged from 84.3% to 91.66%. While this multivariate feature parameter extraction method has clear mathematical and physical significance, it does demand a high sampling rate of 500Hz.
Enhancing Artillery Barrel Wear Detection via CRNN-Based Acoustic Analysis and Domain Adaptation
Authors: Qi Wanlong , Liu Jiancheng , Gou Yingdong , Han Zaikun , Li Bo , Wang Kexin 
Published: December 2024

Abstract
The wear of artillery barrels directly impacts the accuracy and firepower of weapon systems, and precise detection of barrel wear is paramount for enhancing military capabilities. This study proposes a sound-based method for detecting artillery barrel wear, aimed at addressing the challenges of invasiveness and inefficiency in traditional methods, as well as the high cost and resource demands of modern approaches. We introduce AcouDAR, an end-to-end adaptive framework designed to elevate information extraction capabilities through the integration of time convolutional networks (TCN) and bidirectional gated recurrent units (Bi-GRU). Additionally, a domain adaptation module comprising domain alignment and domain relevance elimination modules is incorporated to mitigate the model’s reliance on specific historical sound data of artillery barrels and to bolster its adaptability in real-world scenarios. Extensive experimentation validates the superior performance of the AcouDAR model in detecting artillery barrel wear.
Simulation study of aerodynamic ablation characteristics of ballistic missile laser fuzes
Authors: Zha Jipeng , Chen Shuai , Hao Yufeng , Zhang Xiangjin 
Published: December 2024

Abstract
When a ballistic missile re-enters the atmosphere at hypersonic speed, the warhead and the incoming flow have a violent effect, resulting in a rapid increase in the air temperature of the surrounding flow field, and the persistent high temperature will make the optical window of the ballistic laser fuzes appear ablation phenomenon, which seriously affects the ranging accuracy of the laser detection system. In this paper, the optical window of the laser fuze is taken as the research object, quartz glass is chosen as the optical window material, and the thermal response of the optical window of the laser fuze detection system is numerically simulated according to the heat flux density parameter of the ballistic missile when it re-enters the atmosphere. The simulation results show that the quartz glass as the optical window has good ablation resistance and thermal insulation performance.
Effect of Phenolic Resin Pyrolysis on Thermal Properties of SiFRP Composites under High Heating Rates
Authors: Meicong Wang , Xin Yang , Jixiang Shan , Yonggang Lu , Yanru He , Zhiwei Ding , Yupeng Hu 
Published: December 2024

Abstract
During the ablation process of resin-based composite materials, residual carbon generated from pyrolysis of phenolic resin change the thermal performance of the material. Phenolic resin pyrolysis process depends on temperature and heating rate. Based on the mass loss curves of phenolic resin under high heating rates (5K/s, 50K/s, 100K/s), the study analyzes the variations in thermal performance parameters of SiFRP composite materials with temperature assuming phenolic resin and silica fibres are in parallel in heat transferring. As temperature rising, the pyrolysis conversation ratio of phenolic resin increases, thermal conductivity and specific heat capacity of the composites increase accordingly. The greater the heating rates, the smaller the change of thermal conductivity and specific heat capacity of composites at the same temperature. The complete pyrolysis temperature of phenolic resin is positively correlated with the temperature rise rate. When the temperature rise rate is very large (such as 100K/s), the influence of pyrolysis on the thermal properties of composites can be ignored at medium and low temperature.
Research on Thrust and Drag Matching in Modal Transition Segment of Combined Power Aircraft
Authors: Xie Mutian , Liu Demian , Gong Zheng 
Published: December 2024

Abstract
Combined power aircraft often experience altitude and speed loss during the modal conversion phase due to mismatches in thrust and drag. To address this issue, a thrust-drag matching strategy using the interior-point method was developed, optimizing the objective function with throttle constraints to minimize these losses. A six-degree-of-freedom model was created on the MATLAB/Simulink platform to analyze the aircraft’s dynamics. To resolve longitudinal and lateral instability during conversion, a stabilizing control law using pitch rate, roll rate, and yaw rate was introduced. The reliability of this control law was verified through modal characteristic analysis. Monte Carlo simulations demonstrated that the proposed thrust-drag matching strategy ensures successful modal conversion even under disturbances, validating both the robustness of the control law and the rationality of the strategy.
Low illumination image enhancement based on improved CLAHE algorithm
Authors: Tianyang Zong , Lei Yang 
Published: December 2024

Abstract
In the case of low light, the target features will be weakened or even disappear, thus affecting the target detection effect based on aerial images. In order to improve the image effect, an improved CLAHE algorithm is designed. In the process of image enhancement, the CLAHE algorithm is improved according to image pixel size and histogram characteristics, which can improve the smoothness of CLAHE algorithm for uniform color parts. The experimental results show that the improved CLAHE algorithm is better than other histogram equalization algorithms, and the method has low cost and practical application value.
The simulation of MMV fuze echo characteristics in rainfall based on Monte Carlo
Authors: Yang Bing , Liang Yanbin , Shi Xiaoshan , Liu Chunhua , Huang Zhonghua 
Published: December 2024

Abstract
To enhance the adaptability of millimeter wave (MMV) fuzes in rainy conditions, the attenuation and scattering impacts of rainfall was conducted. Furthermore, a mathematical model was formulated to study the characteristics of MMV fuze echo signals under rainfall environments, and the MMV fuzes echo signals are simulated based on the Monte Carlo method. The results show that rainfall leads to a substantial increase in the bottom noise of the echo signal, and the rainfall backward scattering signal mainly exists in the low-frequency region, but even in the heavy rain and rainstorm environment, the MMV fuze proximity ranging effect is basically unaffected. The results of the study can provide a reference basis for the adaptability of MMV fuze to complex environments.
Design of Anti-Interference Ultra-Wideband Fuze Waveform Based on Chaotic Pulse Position Modulation
Authors: Wu Kaiwei , Hao Shijun , Liu Chunhua , Shi Xiaoshan , Huang Zhonghua 
Published: December 2024

Abstract
In modern warfare, the increasingly complex electromagnetic environment and the enhanced capabilities of intelligent jamming techniques pose a threat to the survival rate of radio fuzes on the battlefield. To improve the anti-jamming performance and thereby enhance the battlefield survivability of radio fuzes, this paper proposes a chaotic pulse position modulation (PPM) method for ultra-wideband (UWB) radio fuzes based on nonlinear mapping. Simulations validate that the proposed method exhibits better autocorrelation characteristics and superior anti-jamming performance compared to unmodulated UWB radio fuzes.
Underdetermined blind source separation method of high-power microwave signals based on parametrically optimal variational modal decomposition
Authors: Zhang Chenyang , He Rong , Wang Shaoxiang , Zhang Xiangjin 
Published: December 2024

Abstract
Reconnaissance and identification of enemy military targets in modern battlefields are becoming increasingly difficult. A high-power microwave signal separation method based on parameter-optimal variational modal decomposition (VMD) is proposed. Firstly, three different electromagnetic signals are mixed with high-power microwave signals and superimposed with additive Gaussian white noise as the mixed signals, and at the same time, a cubic nonlinear function and a limiting threshold function are introduced to process the mixed signals to simulate the complex battlefield electromagnetic signals intercepted by the receiver. Secondly, the Sparrow Search Algorithm (SSA) is used to globally optimize the decomposition parameters of the VMD algorithm, which decomposes the single-channel observation signal into a number of eigenmode functions. The VMD algorithm decomposes the single-channel observation signal into several intrinsic mode functions, then reconstructs the multidimensional observation signals, performs the singular value decomposition of the autocorrelation matrix of the multidimensional observation signals, estimates the number of source signals of the single-channel observation signals and calculates the correlation coefficients of the Intrinsic Mode Functions (IMFs) with the single-channel observation signals, so as to reconstruct the multichannel observation signals. Finally, the Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm is used for blind source separation of the multichannel observation signals. Simulation results show that the correlation coefficient between the separated signal and the high-power microwave source signal obtained by this method is 0.9015, and the method has good effectiveness and feasibility.
Camouflaged target detection based on infrared saliency map and visible image fusion
Authors: Zhang Tianyuan , Peng Ruihui , Sun Dianxing , Lai Jie , Huang Yasheng , Du Yun 
Published: December 2024

Abstract
In order to effectively improve the detection ability of camouflaged targets and fully utilize the potential of target detection algorithms, this paper proposes a camouflaged target detection method based on the fusion of thermal infrared saliency map and visible image. Firstly, the saliency map of the target’s infrared band is obtained through the instance segmentation network dedicated to the camouflaged target, and then the saliency map is fused with the target’s visible image with pixel-level weighting, thus obtaining the fused image of the same target in two bands, and this fusion method is aimed at the enhancement of specific regions of the camouflaged target. The target detection by YOLOv8, the experimental results show that the method of this paper has a significant improvement in image detection performance, can effectively improve the recognition ability of camouflage targets.
Research on dynamic response behavior of the fuze with a combined fuze-warhead structure under different impact positions of bullets
Authors: Wang Qiang , Niu Lanjie , Fan Chenyang , Qv Zhuojun , Xv Rui 
Published: December 2024

Abstract
Aiming at the problem of unclear fuse detonation response in the process of different positions of the bullet impact detonator, to carry out research on the dynamic response behaviour of the fuse under the difference of the bullet impact position of the fuze-warhead combination structure. Through experiments and LS-DYNA numerical simulation, the influence of different positions of bullet impact booster on fuze reaction level and output pressure is analyzed. The results demonstrate that in the tests where the bullet made contact with the centre of the fuse, transmitting an explosive charge, the velocity of the bullet is 832 m/s, and the fuse exhibits a partial detonation level in response to the impact. The highest fuse response level occurs when the bullet strikes the centre of the pyrotechnic charge - partial detonation, the lowest fuse response level occurs when the bullet strikes the upper side of the pyrotechnic charge - burning, and the fuse response level occurs when the bullet strikes the lower side of the pyrotechnic charge - deflagration or explosion. The maximum fuse output pressure when the bullet strikes the centre of the pyrotechnic charge - 6.09 GPa, the minimum fuse output pressure when the bullet strikes the upper side of the pyrotechnic charge - 0.98 GPa, and the fuse output pressure when the bullet strikes the lower side of the pyrotechnic charge is 2.76 GPa.
Joint radar and communication based on piece-wised LFM signals
Authors: Wang Xin , Du Yingsen , Zhang Xiang , Wu Dan , Zhang Ke 
Published: December 2024

Abstract
Existing joint radar detection and communication(JDC) systems suffer from high peak-to-average power ratio(PAPR) or distance blind spot zones. In this paper, we present a novel JDC system based on piece-wised linear frequency modulation(LFM) signals. Based on the proposed piece-wised LFM modulation signal, the novel JDC system can achieve linear frequency modulation continuous wave(LFMCW) detection, and the PAPR and blind zone issues are solved. Besides, spread spectrum communication can be simultaneously conducted with the same modulation signal. Simulation results show that the proposed JDC system has similar detection performance to the traditional sawtooth LFMCW detection scheme, and the bit-error rate of communication is less than 10−6 when the the bit rate is 500kbps and the signal-to-noise ratio is 10 dB.
A study of effect of temperature and shock coupled loading on the response characteristics of fuze cook-offs
Authors: Huifeng Ban , Chenyang Fan , Zhuojun Qu , Ruifeng Liu , Rui Xu 
Published: December 2024

Abstract
To understand the effects of temperature and shock loading environments on the response characteristics of typical fuzes, temperature loading and combined temperature-impact loading tests were carried out to study the influence of environmental load on typical fuzes. The damage characteristics of the detonator under the coupling of temperature and temperature-impact load were analyzed by SEM, and the response characteristics of the fuze under different loading conditions were studied. The results show that the single high and low temperature storage and drop environments do not have a significant effect on the fuze casing; the temperature-overload coupling loading test intensifies the reaction degree of insensitive fuzes in the slow cook-off test, and the influence of low temperature environment is the most significant.
Design and Implementation of a Fuze Intermediate Frequency Echo Simulator System
Authors: Guo Yao , He Shuhuan , Yu Wenheng , Pan Xi 
Published: December 2024

Abstract
The fuse echo simulator plays a crucial role in fuse testing. This paper introduces a combined hardware and software solution for a fuze intermediate frequency (IF) echo simulation system. The system utilizes Direct Digital Synthesis (DDS) technology to generate controllable IF echo signals. By pre-storing classic target and environmental characteristic information data, the system is capable of incorporating diverse target and environmental parameters during the simulation of projectile-target encounter process, thereby enhancing the fidelity of the simulated echo signals. Experimental simulations and engineering validations have confirmed that the proposed system can accurately simulate various characteristics of echo signals, while exhibiting low temporal complexity and high real-time performance. These attributes render it effective for evaluating the dynamic performance of Frequency Modulated Continuous Wave (FMCW) fuse systems.