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Dual Attribute Adversarial Camouflage toward camouflaged object detection

Defence Technology（防务技术） 2023年第4期22卷 166-175页

作者： Yang Wang Zheng Fang Yun-fei Zheng Zhen Yang Wen Tong Tie-yong Cao Institute of Command and Control Engineering Peoples Liberation Army Engineering UniversityNanjing210007China The Army Artillery and Defense Academy of PLA Nanjing210007China PLA University of Foreign Language Luoyang471000China

The object detectors can precisely detect the camouflaged object beyond human *** investigations reveal that the CNNs-based(Convolution Neural Networks)detectors are vulnerable to adversarial *** works can fool detectors by crafting the adversarial camouflage attached to the object,leading to wrong *** is hard for military operations to utilize the existing adversarial camouflage due to its conspicuous *** by this,this paper proposes the Dual Attribute Adversarial Camouflage(DAAC)for evading the detection by both detectors and *** DAAC includes two steps:(1)Extracting features from a specific type of scene to generate individual soldier digital camouflage;(2)Attaching the adversarial patch with scene features constraint to the individual soldier digital camouflage to generate the adversarial attribute of *** visual effects of the individual soldier digital camouflage and the adversarial patch will be improved after integrating with the scene *** results show that objects camouflaged by DAAC are well integrated with background and achieve visual concealment while remaining effective in fooling object detectors,thus evading the detections by both detectors and humans in the digital *** work can serve as the reference for crafting the adversarial camouflage in the physical world.

关键词： Adversarial camouflage Digital camouflage generation Visual concealment Object detection Adversarial patch

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含夹层钛/铝爆炸焊接复合材料的界面特征及力学性能

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Journal of Central South university 2024年第1期31卷 43-58页

作者：袁嘉欣邵飞白林越张宏伟徐倩高磊谢兴坤潘雨 College of Field Engineering Army Engineering University of PLANanjing 210007China College of Command&Control Engineering Army Engineering University of PLANanjing 210007China

通过爆炸焊接技术制备了含夹层的TC1/AA1060/AA6061复合材料,并对界面形貌和界面元素分布进行了研究。通过电子背散射衍射方法研究界面晶粒分布,并通过数值模拟得到的界面温度来解释晶粒分布。通过力学性能试验得到复合材料的拉伸和剪... 详细信息

通过爆炸焊接技术制备了含夹层的TC1/AA1060/AA6061复合材料,并对界面形貌和界面元素分布进行了研究。通过电子背散射衍射方法研究界面晶粒分布,并通过数值模拟得到的界面温度来解释晶粒分布。通过力学性能试验得到复合材料的拉伸和剪切力学性能。界面微观组织结构和力学性能的测试结果表明:TC1/AA1060/AA6061复合材料具有较好的焊接质量。两个界面形貌与数值模拟结果一致,数值模拟得到的界面温度可以解释界面和涡旋区域的晶粒分布。元素在TC1/AA1060界面的扩散宽度为12.3μm,未检测到金属间化合物。在两个涡流区只检测到Al和O元素。此外,还在界面附近不同区域进行了纳米压痕试验,TC1/AA1060界面的纳米硬度介于两侧材料之间,而AA1060/AA6061界面的纳米硬度小于两侧材料。

关键词：爆炸焊接钛/铝复合材料夹层界面涡流区

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Deep Hashing Retrieval of Dynamic Corpora 8

Deep Hashing Retrieval of Dynamic Corpora

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8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Zou, Ao Hao, Wenning Shao, Tianhao Zhang, Ke Shen, Qiuhui Army Engineering University of Pla College of Command & Control Engineering Nanjing China

ISBN: (纸本)9798350302455

Knowledge-intensive language applications, like open-domain question answering, call for NLP systems to retrieve related evidence in a document collection. A efficient and scalable retrieval system is an ideal component in these applications. Up-to-data research developed sequence-to-sequence framework on this task, eschewing any format of term-frequency or query-document similarity calculation. This line of work greatly improved the efficient of retrieval but with the sacrifice of scalablity. This work proposes a new framework based on the seq2seq architecture, which can solve scalability issues that exist in such methods. Experimental results on the public dataset Natural Question demonstrate the effectiveness of this approach. © 2023 IEEE.

关键词： Scalability

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SDN-based Connectivity Restoration for Partitioned Flying Ad hoc Networks 9

SDN-based Connectivity Restoration for Partitioned Flying Ad...

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9th International Conference on Computer and Communications, ICCC 2023

作者： Liu, Yaqun Xie, Jun Luo, Xijian He, Yuan Army Engineering University of Pla College of Command and Control Engineering Nanjing China

ISBN: (纸本)9798350317251

Due to possible failure of unmanned aerial vehicles (UAVs), a connected flying ad hoc network (FANET) may be divided into multiple sub-networks. In this case, the FANET connectivity should be restored in a short time and at a low cost. In this paper, we investigate the FANET connectivity restoration when a FANET is split. Firstly, in order to restore the FANET connectivity in a centralized manner, we propose a software-defined networking (SDN)-based FANET architecture. The process of FANET connectivity restoration is designed based on this architecture. Secondly, we propose a UAV scheduling algorithm based on greedy idea to calculate the position to which each mission UAV needs to move, so that the FANET connectivity can be restored through mission UAV movement. This algorithm should be invoked by the SDN controller. Numerical results show that our approach can restore the FANET connectivity with a lower total movement distance and a lower maximum movement distance than three other baselines. © 2023 IEEE.

关键词： Software defined networking

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Android-Based Binary Code Function Fast Positioning Technology 3

Android-Based Binary Code Function Fast Positioning Technolo...

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3rd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Guan, Xingyi Zhao, Min Army Engineering University of Pla Command and Control Engineering College Nanjing China

ISBN: (纸本)9781665490788

To solve the problem that the existing Android reverse analysis method is inefficient and the applicable scenario is single. A fast positioning technology for binary code function based on Android is proposed in this paper, which includes preprocessing, behavior analysis combining dynamic and static, and binary code function comparison, which can accurately and quickly locate the location of binary code function. Based on this research, to further broaden the application scenarios of the fast positioning technology proposed in this paper and realize the automatic analysis of large-scale applications, an automated analysis tool AndPosit is designed. The proposed technology has been experimentally verified that it can be widely used in various Android applications, can accurately locate the target function code, and the efficiency is more than dozens of times higher than the original manual analysis method. © 2023 IEEE.

关键词： Binary codes

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Decoupling control of Geometrical Consistency for Formation UAVs Based on Node Importance Identification of Temporal Network

Decoupling Control of Geometrical Consistency for Formation ...

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2024 International Conference on Energy and Electrical engineering, EEE 2024

作者： Zhu, Yi Li, Jiguang Zhang, Kai Tian, Hui Zhou, Kan College of Field Engineering Army Engineering University of Pla Nanjing China School of Aircraft Xi'an Aeronautical Institute Xi'an China College of Command and Control Engineering Army Engineering University of Pla Nanjing China

ISBN: (纸本)9798350341768

To address the issue of geometric consistency in the formation of unmanned aerial vehicles (UAVs) during flight, from the perspective of formation control, an identification method for the core nodes of the temporal network is introduced to analyze and evaluate the geometric position error of the UAV formation. A decoupling controller is designed to improve the geometric consistency of the UAV formation. During the design process, the UAVs' dynamics model is established and a Leader-Follower formation controller is designed based on LMI and virtual Leader. The node importance identification of the UAV formation is determined by constructing a time series network according to the similarity based super adjacency matrix (SSAM) of nodes, and the controller is improved in the light of the results of node importance recognition. In the simulation process, the tracking effect of the dual aircraft formation was first verified and analyzed. Then, taking the 6-aircraft formation as an example, the relationship between node importance and geometric consistency was analyzed, and the controller was improved. The simulation results showed that the improved controller, taking into account the factors affecting node importance, can improve the geometric consistency of the formation, providing meaningful reference value for the study of maintaining and consistency control of Formation organization and formation maintenance formations. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Building extraction from remote sensing images using edge preserving mechanism 23

Building extraction from remote sensing images using edge pr...

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4th International Conference on Computing, Networks and Internet of Things, CNIOT 2023

作者： Gao, Yi Wu, Bo Xia, Yuxiang Liao, Xiangning PLA Troops of 61175 China Command and Control Engineering College Army Engineering University of PLA China

ISBN: (纸本)9798400700705

Remote sensing images of buildings are due to the diversity of the structure of the building itself and the complexity of its surrounding environment, and due to the impact of factors such as lighting and shadows, there are problems with incomplete structures and unclear edges in the extraction of buildings. Therefore, a building segmentation network incorporating Laplace edge preservation mechanism is proposed. Add a Laplace edge preserving layer after each cross fusion layer in HRNet. For each input branch of HRNet, use a 3x3 convolution kernel to implement the Laplace operator. The output is a feature map processed by the edge preserving Laplace operator. This mechanism can smooth the noise and details in the image, maintain the sharpness of the edges, and improve the accuracy of image segmentation. The model was tested on the open source WHU Building Dataset, Satellite Dataset II (East Asia) building dataset, with an accuracy of 92.09, a recall rate of 91.83, an intersection ratio of 84.95, and an F1 score of 93.43. Compared with the mainstream methods DeeplabV3+, PSPNet, and HRNet, the experimental results show that the proposed method effectively improves the accuracy of building segmentation, while making the boundaries of buildings clearer and more complete. This paper proposes a remote sensing image building extraction model based on Laplace edge preservation mechanism. The experimental results show that the network has a good extraction effect on building extraction from remote sensing images, and has certain reference value in engineering applications. © 2023 ACM.

关键词： Extraction

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Preprocessing High-Definition Images: Interpretable Feature Extraction with Pre-trained StyleGAN 3

Preprocessing High-Definition Images: Interpretable Feature ...

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3rd International Conference on Computer Graphics, Image, and Virtualization, ICCGIV 2023

作者： Zhang, Ke Hao, Wenning Yu, Xiaohan Shao, Tianhao Shen, Qiuhui Command & Control Engineering College Army Engineering University of PLA Nanjing210007 China

ISBN: (纸本)9781510671720

The interpretable image classifier VAE-FNN can extract high-level features for classification from complex image information and provide explanations that are consistent with human intuition. However, due to the insufficient reconstruction ability of VAE, there are still challenges in feature extraction and interpretable classification for high-definition images. An image preprocessing method is proposed in this paper and a model named E2GAN that can extract low-dimensional interpretable features from high-definition images is constructed. The model is based on a pre-trained StyleGAN generator, and two mapping networks are trained, one for extracting the low-dimensional compressed encoding of the input image and the other for restoring it to the matrix representation required by the StyleGAN generator, which effectively improves the quality of feature extraction and image reconstruction. A discriminator is introduced to perform adversarial training with the mapping network, further improving the realism of the reconstructed image. The training algorithm of the E2GAN model is designed, and a decoupling loss for the low-dimensional encoding is added to further improve its semantic interpretability. Experiments on the CelebA-HQ dataset show that the E2GAN model can extract low-dimensional, semantically informative features from high-definition images, which can be used to train high-precision and interpretable fuzzy neural network classifiers. © 2023 SPIE.

关键词： Feature extraction

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Aerial Reconfigurable Intelligent Surface-Aided Wireless Communications Against the Moving Jamming 6

Aerial Reconfigurable Intelligent Surface-Aided Wireless Com...

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6th IEEE Information Technology, Networking, Electronic and Automation control Conference, ITNEC 2023

作者： Su, Qiao Li, Guoxuan Huang, Ying Song, Xintong Liu, Chaoran Guo, Mingxi Army Engineering University of PLA College of Communications Engineering Nanjing210007 China Army Engineering University of PLA College of Command and Control Engineering Nanjing210007 China

ISBN: (纸本)9781665460033

This paper discusses the problem of anti-jamming communication for combating the moving aerial malicious jamming, where an aerial reconfigurable intelligent surface (ARIS) is considered to assist the ground communications and suppress the malicious jamming. To avoid the destructive attacks, the ARIS flies with a adjusted trajectory. The hierarchical optimization algorithm, which contains two layers, is proposed to optimize the flight trajectory and reflection matrix of ARIS jointly. The first layer utilizes the modified genetic algorithm (MGA) to optimize the flight trajectory of ARIS, and the second layer takes advantage of the manifold optimization method to derive the optimal reflection matrix of ARIS, where the second layer is embedded in the first layer. Simulation results validate that the proposed algorithm can suppress the moving malicious jamming and improve the quality of the legitimate communications effectively. © 2023 IEEE.

关键词： Antennas

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A Novel Cross-Project Software Defect Prediction Algorithm Based on Transfer Learning

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Tsinghua Science and Technology 2022年第1期27卷 41-57页

作者： Shiqi Tang Song Huang Changyou Zheng Erhu Liu Cheng Zong Yixian Ding Command&Control Engineering College Army Engineering University of PLANanjing 210000China Foreign Language College Liaoning Technical UniversityFuxin 123000China

Software Defect Prediction(SDP) technology is an effective tool for improving software system quality that has attracted much attention in recent ***,the prediction of cross-project data remains a challenge for the traditional SDP method due to the different distributions of the training and testing *** major difficulty is the class imbalance issue that must be addressed in Cross-Project Defect Prediction(CPDP).In this work,we propose a transfer-leaning algorithm(TSboostDF) that considers both knowledge transfer and class imbalance for *** experimental results demonstrate that the performance achieved by TSboostDF is better than those of existing CPDP methods.

关键词： Software Defect Prediction(SDP) transfer learning imbalance class cross-project

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