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A branch and price algorithm for the robust WSOS scheduling problem

Journal of Systems engineering and Electronics 2021年第3期32卷 658-667页

作者： LI Ruiyang HE Ming HE Hongyue WANG Zhixue YANG Cheng Institute of Command and Control Engineering Army Engineering University of PLANanjing 210007China

To analyze and optimize the weapon system of systems(WSOS)scheduling process,a new method based on robust capabilities for WSOS scheduling optimization is ***,we present an activity network to represent the military *** member systems need to be reasonably assigned to perform different activities in the *** we express the problem as a set partitioning formulation with novel columns(activity flows).A heuristic branch-and-price algorithm is designed based on the model of the WSOS scheduling problem(WSOSSP).The algorithm uses the shortest resource-constrained path planning to generate robust activity flows that meet the capability ***,we discuss this method in several test *** results show that the solution can reduce the makespan of the mission remarkably.

关键词： weapon system of systems(WSOS) robust optimization scheduling decision branch-and-price column generation

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FaGAN: Frequency-aware Generative Adversarial Network for Infrared and Visible Image Fusion 24

FaGAN: Frequency-aware Generative Adversarial Network for In...

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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Li, Yi Li, Hui Lei, Xiaoyu Li, Yang Wang, Jiabao Miao, Zhuang Command and Control Engineering College Army Engineering University of Pla Nanjing China

ISBN: (纸本)9798350319934

Recently, how to better maintain the frequency information from source images has become a key issue in image fusion. In this article, we first analyze this issue and then propose a frequency-aware generative adversarial network, namely FaGAN, to fuse infrared images and visible images. Specifically, our network is composed of a generator and two discriminators. The generator is used to generate the fused images. The two discriminators are used to distinguish the high-frequency information differences and the low-frequency information differences between the source images and the fused images, respectively. In addition, we propose a specific frequency loss to better constraint the generator, which will better retain the high-frequency information and the low-frequency information in the fused images. Extensive experiments on VIFB (visible and infrared image fusion benchmark) well demonstrate that our network achieves competitive performance in terms of both objective evaluation metrics and visual effect. © 2022 IEEE.

关键词： Generative adversarial networks

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FastDogleg: Acceleration Techniques for Optimization of Visual Simultaneous Localization and Mapping 2

FastDogleg: Acceleration Techniques for Optimization of Visu...

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2nd International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2022

作者： Sun, Haixun Li, Jia Luo, Jianxin College of Command and Control Engineering Army Engineering University of PLA Nanjing China

ISBN: (纸本)9798350345759

Visual Simultaneous Localization and Mapping (VSLAM) is a research hotspot in the fields of autonomous driving, robotics and computer vision. One of the most important factors that affects the running speed is the optimization algorithm. In this paper, we present a fast and efficient algorithm called FastDogleg. This method can improve the system's overall running speed without affecting its accuracy. We improve the step selection strategy of Dogleg algorithm, which eliminates the dependence on the result of the Newton-Gaussian method at each step;Also, we design the iteration Forced to Exit (FE) strategy to eliminate more errors with fewer iterations;In addition, we adopt the parallel computation to accelerate the construction of the Hessian matrix. Compared with the current popular LM and Dogleg algorithms, the efficiency of the proposed algorithm is more than 3 times higher, which validates the effectiveness of the proposed algorithm. © 2022 IEEE.

关键词： Iterative methods

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Jetson NX-oriented Armored Vehicle Fine-grained Recognition 7

Jetson NX-oriented Armored Vehicle Fine-grained Recognition

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7th International Conference on Signal and Image Processing, ICSIP 2022

作者： Wang, Jiabao Pan, Gaojie Li, Yinghong Wu, Yanju He, Yutian Army Engineering University of PLA Command and Control Engineering College Nanjing China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

Armored vehicles are the main combat equipment on the land battlefield. After discovering armored vehicles, the first task is to identify their fine-grained types, so as to provide more accurate intelligence information for commanders and provide auxiliary decision support for subsequent actions. At present, the research of armored vehicles mainly focuses on target discovery, but ignores the accurate recognition and edge application conditions after discovery. Therefore, to classify the fine-grained armored vehicles, a lightweight adaptive enhanced recognition model is proposed for Jetson NX edge computing device. The model adopts the lightweight RepVGG as the backbone, adds an adaptive enhancement mapping module to the linear classifier head, and transforms the linear classifier head into a nonlinear classifier head, which improves the adaptability of the model in cross-domain transfer learning. At the same time, facing the carrying capacity and power consumption limitation of the combat platform, the re-parameterization technology and the TensorRT optimizer are used to realize the compression, transformation and speed-up of the model on Jetson NX. On the armored vehicle fine-grained recognition dataset, the proposed method achieves good accuracy and fast computational speed. © 2022 IEEE.

关键词： Military vehicles

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A Sensitive Data Protection Framework Based on TrustZone

A Sensitive Data Protection Framework Based on TrustZone

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2022 International Conference on Cloud Computing, Big Data and Internet of Things, 3CBIT 2022

作者： Wu, Wenchang Zhao, Min Army Engineering University of Pla Command & Control Engineering College Nanjing China

ISBN: (纸本)9781665492256

The development of the Internet has made mobile devices become an indispensable part of work for people to store and process sensitive data. Protecting data through encryption algorithms is one of the best ways to solve data security problems at the current stage. However, traditional solutions only focus on the security of encrypted data, and cannot guarantee the security of data during the encryption process. Therefore, in view of the security problems of traditional data encryption, A sensitive data protection framework is proposed in this paper. The encryption process is security enhanced by implementing the data encryption process in the Trusted Execution Environment (TEE). The uniqueness and security of the keys are guaranteed by generating the keys related to the device and the application. The prototype system is implemented based on Qemu. Finally, experiments show that this framework has good security and feasibility with little increase in overhead. © 2022 IEEE.

关键词： Sensitive data

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Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential 3rd

Distributed Consensus Control Research of Unmanned Aerial Ve...

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3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2024

作者： Xu, Peng Liu, Jintao Sun, Xuefei Chen, Haotian Chen, Yinsheng Command and Control Engineering College Army Engineering University of PLA Houbiaoying Nanjing210007 China Naval Aviation University Yantai China College of Measurement and Control Technology and Telecommunications Engineering Harbin University of Science and Technology Heilongjiang Province Harbin China

ISBN: (纸本)9789819616930

The consensus control is a key issue in the research of unmanned aerial vehicle (UAV) swarm. Molecular dynamics is a method of stimulating complex group emergence behavior through simple interactions between individuals. This article draws inspiration from the principles of molecular dynamics to building a collective dynamics model for UAV swarm. Firstly, using Vicsek model to construct the self-organizing motion computational model. Then, using the Lennard-Jones two-body interaction potential in molecular dynamics as the interaction law of UAV swarm. By analyzing the Newtonian mechanical forces between each UAV in the swarm, consensus control of the UAV swarm can be achieved. Finally, simulation verification was conducted to analyze the effects of different power potential functions, different scales of swarm, and different white noise coefficient on the consensus control of UAV swarm. It is concluded that the 8–4 potential has better results for consensus control of UAV swarm and has good control effects on small, medium, and large scales UAV swarm. However, consensus cannot be fully guaranteed under strong noise conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Lennard-Jones potential

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A Software Security Testing Model for Autonomous Systems 10

A Software Security Testing Model for Autonomous Systems

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10th International Conference on Dependable Systems and Their Applications, DSA 2023

作者： Hu, Jinchang Sun, Kang Yang, Sen Hui, Zhanwei Huang, Song Army Engineering University of Pla College of Command and Control Engineering Nanjing China Avic the First Aircraft Institute Xi'an China Academy of Military Science China

ISBN: (纸本)9798350304770

The autonomous system is an extremely complex and multidisciplinary system, and the overall goal of this paper is to study safety testing methods for autonomous systems to enhance the robustness of autonomous systems. In order to realize an autonomous system with high reliability and robustness, this paper summarizes the security defect detection methods for autonomous systems from the two dimensions of static analysis and dynamic testing and expounds on the syntax-level, semantic, and system-level testing methods for autonomous systems. © 2023 IEEE.

关键词： Static analysis

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Dynamic properties of low-density expandable polystyrene concrete materials

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Defence Technology(防务技术) 2025年第1期43卷 94-108页

作者： Jue Han Hualin Fan Army Engineering University of PLA Nanjing 210007China Research Center of Lightweight Structures and Intelligent Manufacturing State Key Laboratory of Mechanics and Control of Aerospace StructuresNanjing University of Aeronautics and AstronauticsNanjing 210016China Henan International Joint Laboratory of Dynamics of Impact and Disaster of Engineering Structures Department of Civil EngineeringNanyang Institute of TechnologyNanyang 473004China

Expanded polystyrene(EPS)concrete,known for its environmental friendliness,energy absorption capacity,and low impedance,has significant potential application in the fields of wave absorption and vibration *** study designed and prepared EPS concrete materials with four levels of ***-static uniaxial compression and Split Hopkinson Pressure Bar(SHPB)impact tests were conducted to obtain stress-strain curves,elastic moduli,failure modes,energy absorptions,and strain rate effects of the EPS concrete under quasi-static and dynamic loading *** influences of density on various performance indicators were *** combining the Zhu-Wang-Tang(ZWT)constitutive model with a modified elastic-brittle model,a modified dynamic constitutive model was *** accuracy of the model was validated by the experimental *** results indicate that the addition of EPS particles enhances the ductility of the EPS *** EPS concrete has significant strain rate effect,which gets stronger as density *** modifiedconstitutive model accurately characterizes the dynamic stress-strain curves of the EPS concrete.

关键词： EPS concrete Impact behavior Constitutive model SHPB test

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Distortion Evaluation of EMP Sensors Using Associated-Hermite Functions

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Computers, Materials & Continua 2023年第1期74卷 1093-1105页

作者： Rupo Ma Siping Gao College of Command and Control Engineering Army Engineering UniversityNanjing210007China Department of Computer Information and Cyber Security Jiangsu Police InstituteNanjing210031China Department of Electrical and Computer Engineering National University of Singapore119260Singapore

Electromagnetic pulse(EMP)is a kind of transient electromagnetic phenomenon with short rise time of the leading edge and wide spectrum,which usually disrupts communications and damages electronic equipment and *** is challenging for an EMP sensor to measure a wideband electromagnetic pulse without distortion for the whole ***,analyzing the distortion of EMP measurement is crucial to evaluating the sensor distortion characteristics and correcting the measurement *** fidelity is usually employed to evaluate the distortion of an ***,this metric depends on specific signal waveforms,thus is unsuitable for evaluating and analyzing the distortion of EMP *** this paper,an associated-hermite-function based distortion analysis method including system transfer matrices and distortion rates is proposed,which is general and independent from individual *** system transfer matrix and distortion rate can be straightforwardly calculated by the signal orthogonal transformation coefficients using associated-hermite *** of a sensor *** is then visualized via the system transfer matrix,which is convenient in quantitative analysis of the *** of a current probe,a coaxial pulse voltage probe and a B-field sensor were performed,based on which the feasibility and effectiveness of the proposed distortion analysis method is successfully verified.

关键词： Electromagnetic pulse associated-hermite functions system transfer matrix distortion rate

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A Reuse-oriented Clustering Method for Test Cases 9

A Reuse-oriented Clustering Method for Test Cases

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9th International Conference on Dependable Systems and Their Applications, DSA 2022

作者： Shi, Ya-Qing Huang, Song Wan, Jin-Yong Command & Control Engineering College Army Engineering University of Pla Jiangsu Nanjing China

ISBN: (数字)9781665488778

ISBN: (纸本)9781665488778

Different types of data are generated in each stage of software testing. There are a lot of test case data in the historical test asset library, including some case data with high similarity. Clustering test cases can effectively reduce the resource consumption and time cost of reusing test cases and improve the efficiency of test case recommendation. This paper proposes a reuse-oriented clustering method for test cases. Firstly, test case data of historical test projects of command-and-control system are collected, test case corpus is constructed, and word segmentation experiments are carried out using this corpus. Experimental tools are determined by comparing the experimental effects of current mainstream natural language word segmentation tools with self-defining dictionaries. Then, the keywords of test cases are extracted by keyword extraction algorithm, and the test case package is obtained by Spectral Clustering algorithm based on the test case similarity matrix and keyword similarity matrix. Finally, the validity of the proposed method is verified by experimental comparison on the constructed test case corpus. © 2022 IEEE.

关键词： Software testing

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