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8th International Conference on Computer science and Application Engineering, CSAE 2024

作者： Hongxing, Hao Ronghuan, Yu Jing, Guo Huaquan, Hu Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Huairou Beijing China

ISBN: (纸本)9798400718090

The Autonomous and controllable of the spacecraft component is of great importance for the development of our space industry. The key step of the spacecraft component is the production. Many researchers focus on the estimation of the autonomous and controllable of the spacecraft component production. This paper model the evaluation method including the construction of the evaluation index system and the estimation method. The proposed estimation method is based on the fuzzy model to synthesize the qualitative, quantitative indicators and the according weights. Compared to mapping the qualitative value to a fixed number, the proposed method avoids the effect of the subjectivity. The experimental results show that the proposed method tend to think highly of the quantitative values when the qualitative values are not very too much so as to avoid the effect of the subjectivity for the qualitative indicators in the evaluation. © 2024 Copyright held by the owner/author(s).

关键词： Aerospace industry

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A Service Mining Scheme Based on Semantic for Internet of Things

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Chinese Journal of electronics 2025年第2期23卷 236-242页

作者： Xinming Li Yan Sun The Science and Technology on Complex Electronic System Simulation Laboratory Academy of Equipment Beijing China The School of Computer Science Beijing University of Posts and Telecommunication Beijing China

As the development of Internet of things (IOT), massive sensors have been deployed as the public infrastructure. With the development of in-depth applications in IOT, service discovery and composition are challenges to the end users. To handle this challenge, we develop a service mining scheme based on semantic for IOT to provide users with interesting composite services. In this scheme, services can be combined and recommended to users actively according to the calculation of service similarity and an updatable semantic database. By the results of service similarity, useless compositions can be filtered out so that energy consumption on service flooding will be reduced. The update strategy of semantic database is also given out, by which the composite services can keep up with time and be more applicative. The benefits of the proposed method are that all operations such as calculating, filtering, and updating are simple enough to be performed in sensor networks.

关键词： Smart buildings Databases Filtering Semantics Public infrastructure Ontologies Sensor systems Internet of Things Floods Intelligent sensors

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Combining Local Electromagnetic Scattering and Global Structure Features for SAR Open Set Recognition

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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 12572-12587页

作者： Lin, Qinjie Sun, Hao Xu, Yanjie Wang, Junyu Ji, Kefeng Kuang, Gangyao National University of Defense Technology State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology Changsha410073 China

Automatic target recognition (ATR) is crucial for synthetic aperture radar (SAR) image interpretation. However, existing SAR ATR primarily rely on algorithms from the field of computer vision, many methods have not adequately considered the imaging sensitivity of SAR images. Moreover, SAR ATR typically follows the closed set assumption, but in dynamic and open real-world environments, SAR systems may encounter target classes that have not been seen during training. To address these issues, this paper proposes a SAR open set recognition (OSR) method that combines local electromagnetic scattering and global structure features. The global structural features focus on the overall relationship between target and background, while the local electromagnetic scattering features can effectively capture the scattering characteristics of target. Hence, we construct a global and local feature guidance (GLGE) network, fuses these complementary features as prior knowledge to guide deep features. Then, a class-anchor-based loss function is constructed by Anchor loss and Tuple loss, which cluster the features of known classes targets around predefined class anchors. Finally, the distance ratio is calculated to identify known classes targets and reject unknown classes targets. The experimental results on the MSTAR and SAR-ACD datasets show that our method outperforms other OSR methods in recall, precision, F1, and accuracy, demonstrating a superior performance in OSR. © 2008-2012 IEEE.

关键词： Automatic target recognition

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Random Coefficient-Moving Product Based Wireless Key Generation

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China Communications 2025年第2期22卷 199-212页

作者： Lu Xinjin Lei Jing Li Wei College of Electronic Science and Technology National University of Defense TechnologyChangsha 410073China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang 471003China China South Industries Group Corporation Zhi Yuan Institute310012China

The physical layer key generation technique provides an efficient method,which utilizes the natural dynamics of wireless ***,there are some extremely challenging security scenarios such as static or quasi-static environment,which lead to the low randomness of generated ***,the coefficients of the static channel may be dropped into the guard space and discarded by the quantization approach,which causes low key generation *** tackle these issues,we propose a random coefficient-moving product based wireless key generation scheme(RCMP-WKG),where new random resources with remarkable fluctuations can be obtained by applying random coefficient and by moving product on the legitimate ***,appropriate quantization approaches are used to increase the key generation ***,the security of our proposed scheme is evaluated by analyzing different attacks and the eavesdropper’s mean square error(MSE).The simulation results reveal that the proposed scheme can achieve better performances in key capacity,key inconsistency rate(KIR)and key generation rate(KGR)compared with the prior works in static ***,the proposed scheme can deteriorate the MSE performance of the eavesdropper and improve the key generation performance of legitimate nodes by controlling the length of the moving product.

关键词： moving product random coefficient static environment wireless key generation

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Analysis of the SEIR mean-field model in dynamic networks under intervention

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Infectious Disease Modelling 2025年第3期10卷 850-874页

作者： Li, Jiangmin Jin, Zhen Tang, Ming Complex System Research Center Shanxi University Shanxi Taiyuan 030006 China Key Laboratory of Complex Systems and Data Science of Ministry of Education Shanxi University Shanxi Taiyuan 030006 China Shanxi Key Laboratory for Mathematical Technology in Complex Systems Shanxi University Shanxi Taiyuan 030006 China School of Physics and Electronic Science East China Normal University Shanghai 200241 China Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai 200241 China

For emerging respiratory infectious diseases like COVID-19, non-pharmaceutical interventions such as isolation are crucial for controlling the spread. From the perspective of network transmission, non-pharmaceutical interventions like isolation alter the degree distribution and other topological structures of the network, thereby controlling the spread of the infectious disease. In this paper, we establish a SEIR mean-field propagation dynamics model for the synchronous evolution of dynamic networks caused by propagation and tracing isolation. We employ the reducing-dimension method to convert the mean-field model in networks into an equivalent and simpler low-dimension model, and then calculate the exact expression of the final size. In addition, we get the differential equations of the degree distribution over time in dynamic networks under tracing isolation and the relationships between the first and second moment of the dynamic network. While the degree of a node remains constant regardless of its state in many previous studies, this paper takes into account that the degree of each node changes over time whatever its state under the disease spread and intervention measures. © 2025 The Authors

关键词： Degree distribution Dynamic network The final size Tracing isolation

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Enhancing Geolocation Accuracy of High-Altitude Airborne SAR Through Tropospheric Delay Compensation

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Xiang, Yaobing Sun, Yuli Lei, Lin Ji, Kefeng Kuang, Gangyao National University of Defense Technology State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology Changsha410073 China

Geolocation is a crucial step in the processing of synthetic aperture radar (SAR) images. High-altitude airborne SAR systems present unique geolocation challenges due to travelling long distances through the troposphere. However, the impact of tropospheric delay on geolocation is often overlooked in existing airborne SAR studies, which can lead to inaccuracies. To address this issue, we propose a new positioning method, the tropospheric delay-compensated range-Doppler (TDC-RD) model. The TDC-RD model leverages reference atmospheric models to estimate and compensate for the tropospheric delay in SAR images. This model effectively mitigates the impact of tropospheric delay in SAR geolocation. To further optimize the TDC-RD model solution, a digital elevation model (DEM)-assisted dual iteration method is proposed. This method iteratively adjusts the target's plane position and elevation in an alternating manner. The effectiveness of the TDC-RD model has been validated through both simulation experiments and actual flight experiments. The results show a significant improvement in geolocation accuracy compared to existing methods, with a maximum reduction of 11.39 m and 24.33% in the mean absolute error (MAE) of SAR geolocation. The TDC-RD model has a great advantage in long-range SAR geolocation. Our research enhances the accuracy and stability of high-altitude airborne SAR geolocation without requiring ground control points. © 2025 IEEE.

关键词： Troposphere

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Cross-Sensor SAR Image Target Detection Based on Dynamic Feature Discrimination and Center-Aware Calibration

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Zhang, Xianghui Zhang, Siqian Sun, Zhongzhen Liu, Chenfang Sun, Yuli Ji, Kefeng Kuang, Gangyao National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology Changsha410073 China

In practical synthetic aperture radar (SAR) target detection applications, it is often encountered that the training and testing data come from different SAR sensors, leading to a decline in the SAR target detection performance. Although domain adaptation methods can achieve model generalization through feature transfer, the change of scattering characteristics for the same target and the difference in feature distribution, caused by cross sensor, cannot be ignored in SAR images. It is inevitable to lead to the escalation of the offset in the bounding box regression and deviation of the feature alignment. To address these issues, a cross-sensor SAR image target detection method based on the dynamic feature discrimination and center-aware calibration is proposed. Based on the domain adaptation framework, initially, a dynamic feature discrimination module (DFDM) is introduced to address the exacerbated offset in the regression. A bidirectional spatial feature aggregation (BSFA) mechanism is employed to aggregate features in both horizontal and vertical directions, and a multiscale structure is adopted to enhance the scattering and semantic features, which can dynamically constrain the target position while improving target discrimination capability. Then, the center-aware calibration module (CACM) is designed to address the alignment deviation in feature transfer. The target salience relationship is modeled based on the distance between different positions and the target center to suppress the background clutter interference. The perception center of the target is focused by combining the centerness map and classification map, which can calibrate the domain-invariant features and alleviate misalignment. Finally, the proposed method is tested on two datasets, MiniSAR and FARAD, and compared with the latest domain adaption methods. Both mAP and F1 values have improved by more than 6%-20%, verifying the effectiveness of the proposed method. © 1980-2012 IEEE.

关键词： Calibration

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3D-printable polyacrylamide/quaternary chitosan-based multifunctional hydrogel flexible sensors

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Reactive and Functional Polymers 2025年 214卷

作者： Wang, Dingxin Mei, Lin Liu, Qian Zou, Xinhao Pan, Shaoshan Xu, Tianyu Zhao, Panfeng Luo, Tianzhi CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics CAS Center for Excellence in Complex System Mechanics University of Science and Technology of China Hefei China State Key Laboratory of Fire Science University of Science and Technology of China Hefei China School of Nuclear Science and Technology University of Science and Technology of China Hefei230026 China School of Materials and Energy University of Electronic Science and Technology of China Chengdu China

Hydrogel-based wearable flexible pressure sensors show great potential for applications in human health and motion monitoring. However, fabricating hydrogel sensors with excellent mechanical properties, sensitivity, and stability remains challenging. In this study, we developed a poloxamer-quaternized chitosan-polyacrylamide (P407/QCS-PAAm) hydrogel with multifunctional capabilities. These hydrogels exhibit high strength, impact resistance, excellent electrical conductivity, hydrophilicity, and outstanding antimicrobial properties. Due to the dynamic hydrogen bonding provided by QCS, the mechanical properties of the hydrogel can be adjusted by regulating the QCS content, achieving tensile strengths ranging from 0.14 to 0.47 MPa and compressive strengths from 2.07 to 5.49 MPa. The quaternary ammonium groups carried by QCS enhance the gel's conductivity (0.29 S/m) and its bacteriostatic effects. Furthermore, the incorporation of P407 improves the hydrogel's hydrophilicity. These properties make the gel an excellent biosafety material for wearable devices. Notably, the hydrogel precursor exhibits rate-tunable sol-gel transition properties, enabling 3D printing. The 3D-printed P407/QCS-PAAm hydrogel sensors demonstrate high sensitivity (GF © 2025 Elsevier B.V.

关键词： Tensile strength

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DiffDual-AD: Diffusion-Based Dual-Stage Adversarial Defense Framework in Remote Sensing with Denoiser Constraint

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Lu, Zihao Sun, Hao Lei, Lin Xu, Yanjie Sun, Yuli Kuang, Gangyao National University of Defense Technology State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System the College of Electronic Science and Technology Changsha410073 China National University of Defense Technology College of Aerospace Science and Engineering Changsha410073 China

Deep neural networks (DNNs), though highly effective in various Earth observation tasks with remote sensing images (RSIs), are vulnerable to adversarial attacks, threatening their reliability. Each maliciously attacked RSI potentially contains unique and critical information, but current defenses lack a unified framework for rapidly detecting adversarial RSIs and accurately restoring them to their natural state. To bridge this research gap, we propose a diffusion-based dual-stage adversarial defense (DiffDual-AD) framework. In the first stage, we propose a novel adversarial detection method based on the score expectation (AD-SE), which is integrated into the forward process of diffusion model with an improved denoiser constrained for adversarial defense. During the reverse process, the second stage introduces the distance and label-guided adversarial purification (DL-GAP) to restore adversarial RSIs to natural ones. With the help of two proposed guidelines and the specific denoiser, the DL-GAP effectively smooths out the adversarial perturbations from the detected adversarial RSIs while preserving semantic information and local key features. Finally, DL-GAP yields nonadversarial purified RSIs based on the results of AD-SE. Both stages are integrated within the diffusion models, complementing each other to form a pipelined operational mode. Extensive experiments across three RSI scene classification datasets have proven its efficacy in resisting adversarial RSIs in both whitebox and black-box scenarios, achieving an average adversarial detection accuracy of 87.02% with AD-SE and an average final classification accuracy of 81.50% with the entire DiffDual-AD. The performances of our proposed AD-SE and DL-GAP have surpassed other advanced adversarial detection and purification methods when applied to RSIs. Therefore, DiffDual-AD provides a unified and universal solution to preserve the utility and security of processing the adversarial RSIs, which advances the adversari

关键词： Deep neural networks

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Multiplexed model predictive attitude control for nadir-pointing satellite using only magnetorquers

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Control Engineering Practice 2025年 162卷

作者： Yang, Sen Ling, Keck Voon Wang, Zhenhua Li, Huiping School of Astronautic Harbin Institute of Technology Harbin150001 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin150001 China School of Marine Science and Technology Northwestern Polytechnical University Xi'an710072 China

Due to the low failure risk of magnetorquers, the control strategy based on magnetic actuators can significantly enhance the reliability of the satellite attitude control system. In light of this advantage, this paper conducts research on model predictive control (MPC) algorithm for nadir-pointing satellites equipped only with magnetorquers. Firstly, to facilitate controller design, the linear time-varying (LTV) model for nadir-pointing satellites is derived by linearizing the nonlinear equations around the operating point. Then, leveraging this linearized representation, an LTV multiplexed MPC (MMPC) method with exponential weighting is proposed. The MMPC scheme allows for faster sampling rates and quicker responses to disturbances, thereby enhancing the overall performance of the satellite attitude control system while retaining the benefits of MPC. Finally, compared with a state-of-the-art SMPC method, the proposed method is particularly advantageous in situations where computational resources are limited, specifically for satellites that rely only on onboard computing capabilities. © 2025

关键词： Nonlinear equations

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