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TechRxiv 2020年

作者： Zhang, Tingting Lan, Yushi Song, Aiguo Liu, Kun Wang, Nan Computer and military software engineering PLA Army Engineering University Nanjing China National defense key laboratory China Electronics Technology Group Corporation Nanjing China College of Instrument Science and Engineering Southeast University Nanjing China College of Command and Control Engineering PLA Army Engineering University Nanjing China

The network information system is a military information network system with evolution characteristics. Evolution is a process of replacement between disorder and order, chaos and equilibrium. Given that the concept of evolution originates from biological systems, in this article, the evolution of network information architecture is analyzed by genetic algorithms, and the network information architecture is represented by chromosomes. Besides, the genetic algorithm is also applied to find the optimal chromosome in the architecture space. The evolutionary simulation is used to predict the optimal scheme of the network information architecture and provide a reference for system construction. © 2020, CC BY.

关键词： Genetic algorithms

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Application and improvement of capture-recapture model for crowdsourced testing

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Journal of Physics: Conference Series 2021年第1期1738卷

作者： Yi Yao Yuchan Liu Command and Control Engineering College Army Engineering University of PLA Nanjing Jiangsu 210007 China

Crowdsourced testing has become an effective alternative to traditional testing. However, crowdsourced testing is inherently difficult to manage. In this paper, objective information such as defect count is considered to evaluate the task process. We researched how the capture-recapture model estimates the total number of defects in a crowdsourced testing scenario. By comparing the difference between crowdsourced testing and traditional testing, incremental sampling methodology and the best estimator for crowdsourced testing were proposed to estimate the number of defects, so as to improve the ability to evaluate the completion degree of crowdsourced testing task.

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Cross-modal entity resolution based on co-attentional generative adversarial network 19

Cross-modal entity resolution based on co-attentional genera...

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4th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2019

作者： Lv, Guojun Cao, Jianjun Chang, Chen Zheng, Qibin Institute of Command and Control Engineering Army Engineering University Nanjing China Sixty-third Research Institute National University of Defense Technology Nanjing China

ISBN: (纸本)9781450371711

Cross-modal entity resolution aims to find semantically similar items from objects of different modalities(e.g. image and text). The core way to solve the problem is to construct a shared space where multi-modal examples can be represented uniformly. In this paper, we propose a novel Co-Attentional Generative Adversarial Network(CAGAN) method for solving cross-modal entity resolution, which seeks an effective space based on co-attention mechanism and adversarial learning. The generative adversarial network that we design contains two parts, Generator and Discriminator, the generator aims to generate a shared space through intra-modal loss and inter-modal loss, while discriminator is a classifier which tries to discriminate the modalities based on the generated representation. In order to eliminate the imbalance of information between modalities, generate more consistent representation and accelerate the convergence speed of the network, co-attention mechanism is introduced into the network. Experimental results performed on two cross-modal datasets demonstrated the outstanding performance of the proposed method for cross-modal entity resolution. © 2019 Association for Computing Machinery.

关键词： Generative adversarial networks

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Crushing Behaviors of Frac tai Hexagonal Tubular Structures: Experiments and plastic Analysis

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Acta Mechanica Solida Sinica 2019年第6期32卷 713-724页

作者： Weiwei Li Bei Zhang Hualin Fan Research Center of Lightweight Structures and Intelligent Manufacturing State Key Laboratory of Mechanics and Control of Mechanical StructuresNanjing University of Aeronautics and AstronauticsNanjing 210016China State Key Laboratory for Disaster Prevention&Mitigation of Explosion&Impact PLA Army Engineering UniversityNanjing 210007China Department of Civil Engineering Nanyang Institute of TechnologyNanyang 473004China Research Institute for National Defense Engineering of Academy of Military Science PLA Luoyang 471023China

Fractal tubular structures(FTSs)can greatly increase the anti-crushing and energy absorption capacity of the *** reveal this mechanism,fractal hexagonal tubes(FHTs)with self-similar fractal structure were designed and *** experiments were carried out to verify the crushing modes of structures with different scale *** with the single-cell structure,FHTs have much greater mean crushing force(MCF).According to the experiments and the numerical simulations,when the side length of the second-order hexagon is 0.3 times of the length of the first-order primary hexagon,the FTS has the greatest peak force(PF)and MCF as well as the most excellent energy-absorbing *** folding styles were revealed by the experiments and the numerical simulation when changing the scale factor,including the overall folding mode,the local foaling mode and the hybrid folding *** plastic models were built,which consistently predicted the MCF.

关键词： Fractal structure Crushing Energy absorption plastic analysis

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Corrigendum to “Rigdelet Neural Networks-based Maximum Power Point Tracking for a PEMFC connected to the network with Interleaved Boost Converter optimized by Improved Satin Bowerbird Optimization” [Energy Rep. 9 (2023) 4960-4970]

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Energy Reports 2024年 11卷 1318-1318页

作者： Yulong Su Kai Ma Shichuang Zheng Donglin Xue Xinyao Li The Admission and Employment Office Yantai Nanshan University Shandong 265700 China School of command and control engineering Army Engineering University of PLA Tongzhou District Beijing 101100 China Department of Information and Mechanical Engineering Jinshan College of Fujian Agriculture and Forestry University Fuzhou 350002 China School of Civil Engineering and Architecture Zhejiang University of Science and Technology Zhejiang 310023 China School of Information Science and Technology Nantong University Jiangsu 226019 China

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Container Networking Performance Analysis for Large-Scale User Behavior Simulation

Container Networking Performance Analysis for Large-Scale Us...

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作者： Yifang Ji Guomin Zhang Shengxu Xie Xiulei Wang Command & Control Engineering College Army Engineering University of PLA

Accurately simulating large-scale user behavior is important to improve the similarity between the cyber range and the real network *** Linux Container provides a method to simulate the behavior of large-scale users under the constraints of limited physical *** a container-based virtualization environment,container networking is an important *** evaluate the impact of different networking methods between the containers on the simulation performance,the typical container networking methods such as none,bridge,macvlan were analyzed,and the performance of different networking methods was evaluated according to the throughput and latency *** experiments show that under the same physical resource constraints,the macvlan networking method has the best network performance,while the bridge method has the worst *** result provides a reference for selecting the appropriate networking method in the user behavior simulation process.

关键词： Linux Container Networking Mode Network Performance User Behavior Simulation

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Secure transmission in wireless powered cooperative communication network with finite energy storage 8

Secure transmission in wireless powered cooperative communic...

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IET 8th International Conference on Wireless, Mobile and Multimedia Networks

作者： Wang, Yong Zhang, Tao Yang, Weiwei Yu, Yu College of Communication Engineering Army Engineering University of PLA Nanjing China Sixty-third Research Institute National University of Defense Technology Nanjing China 31131 Troops Eastern Theater Command of PLA Nanjing China

ISBN: (纸本)9781839531637

This paper investigates secure transmission in a wireless powered cooperative communication network (WPCCN), where multiple intermediate energy harvesting (EH) nodes are deployed to assist the secure transmission between a source and a destination in the presence of an eavesdropper. Each intermediate EH node has a finite energy storage (battery) to accumulate the energy harvested from the source's radio frequency (RF) signal. In order to exploit the intermediate nodes for secure improvement, a relay-and-jammer selection scheme called energy threshold based best-relay and best-jammer (ETBB) is proposed according to the energy storage status and channel gains. Specifically, one node is selected as relay to forward the source's confidential signal, and another node is selected to jam the eavesdropper. Moreover, for evaluating the secrecy performance, the evolution of the EH nodes' energy storage has to be tracked firstly since the residual energy at each EH node is a critical factor that affects the transmit power. Using finite-state Markov Chain (FSMC), we study the long-term energy evolution at the EH nodes. Based on this, we derive the analytical expression for the hybrid outage probability (HOP) of the considered WPCCN. Finally, simulation results reveal that the ETBB scheme outperforms the existing bR-bJ scheme due to the consideration of the energy accumulation issue and the energy storage status at the EH nodes. And, there is a suitable value of the energy threshold for the ETBB scheme to achieve the optimal secrecy performance. © 2019 Institution of engineering and Technology. All rights reserved.

关键词： Energy harvesting

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HASN:A Hierarchical Attack Surface Network for System Security Analysis

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China Communications 2019年第5期16卷 137-157页

作者： Kangyu Huang Lin Yang Renfang Fu Shengli Zhou Zheng Hong College of Command and Control Engineering Army Engineering UniversityNanjing 210007China China Electronic Equipment & System Engineering Corporation Beijing 100141China State Grid Jiangsu Electric Power Company Research Institute Nanjing 210019China Information Department of Zhejiang Police College Hangzhou 310053China

Attack surfaces, as one of the security models, can help people to analyse the security of systems in cyberspace, such as risk assessment by utilizing various security metrics or providing a cost-effective network hardening solution. Numerous attack surface models have been proposed in the past decade,but they are not appropriate for describing complex systems with heterogeneous components. To address this limitation, we propose to use a two-layer Hierarchical Attack Surface Network(HASN) that models the data interactions and resource distribution of the system in a component-oriented view. First, we formally define the HASN by extending the entry point and exit point framework. Second, in order to assess data input risk and output risk on the HASN, we propose two behaviour models and two simulation-based risk metrics. Last, we conduct experiments for three network systems. Our experimental results show that the proposed approach is applicable and effective.

关键词： attack surface security analysis security model risk assessment

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A speech reconstruction algorithm via iteratively reweighted 2 minimization for MFCC codec 27

A speech reconstruction algorithm via iteratively reweighted...

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27th European Signal Processing Conference, EUSIPCO 2019

作者： Min, Gang Zhang, Xiongwei Liu, Xiangyang Zhang, Changqing Chen, Yanpu Institute of Information and Communication National University of Defense Technology Xi'an China Institute of Command and Control Army Engineering University Nanjing China Institute of Information Engineering Xijing University Xi'an China

ISBN: (纸本)9789082797039

This paper presents an effective method to address the inverse problem of Mel-frequency cepstral analysis, and describes how to reconstruct the speech waveforms from Mel-frequency cepstral coefficients (MFCCs) directly. To exploit the sparse characteristics of speech in the frequency domain, an iteratively reweighted 2 minimization method is proposed to cope with the under-determined nature of the reconstruction problem. The lost phase information during Mel-frequency cepstral analysis procedure is recovered by the inverse short-time Fourier transform magnitude algorithm. Experiments are conducted over the TIMIT database and evaluated by several different kinds of measures. Experimental results demonstrate that the proposed method recovers speech with high articulation and intelligibility. Specifically, it sounds very close to the original speech when using the high-resolution MFCCs, the average STOI, PESQ score reaches 93% and 4.0, respectively. This method could be easily used for MFCC codec at low bit rate. © 2019 IEEE

关键词： Inverse problems

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Research on Deep Reinforcement Learning Exploration Strategy in Wargame Deduction 2

Research on Deep Reinforcement Learning Exploration Strategy...

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2nd IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2019

作者： Shang, Tongfei Dong, Haoyang Liu, Jing Yu, Yuan National University of Defense Technology College of Information and Communication Xi'an China School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China Army Engineering University of PLA College of Command and Control Engineering Nanjing China Xi'An Satellite Control Center Xi'an China

ISBN: (纸本)9781728130668

The wargame deduction is the application of wargame. It refers to the use of boards and wargame pieces representing the battlefield and its military power, or based on the virtual battlefield environment and force of the computer, based on military rules and probability theory, simulating war confrontation. The process deduction and evaluation optimization of the combat plan is an activity that uses wargame to simulate war and is a tool for combat simulation. In this paper, the actual or assumed situation is used to simulate the military actions of two or more opposing parties. The deep reinforcement learning and exploration strategy is used to improve the realistic function of the wargame simulation and the deductive pushability function, and systematically study the wargame technology. Advancing operational decision-making and military training has certain practical and strategic significance. © 2019 IEEE.

关键词： Reinforcement learning

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