检索结果-内蒙古大学图书馆

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

作者： Han, Wei Yang, Guang Luo, Ling Dong, Jingwei Xu, Peng Sun, Xuefei Command and Control Engineering College Army Engineering University of PLA Nanjing210007 China

ISBN: (纸本)9789819624676

Aiming at Unmanned Aerial Vehicle (UAV) target state estimation, a dynamic space model between the electro-optical platform and the target is established, and a target state estimation method by fusing game reasoning is proposed. The payoff matrix is defined according to the game concept. Then, the proposed density distribution function of particle swarm is established, and the particle filter method is improved by fusing the game reasoning. The state of the moving target can be accurately estimated by the retained effective particles. Through simulation experiments, the validity of state estimation results of moving target under different moving trajectories is analyzed and verified. The research in this paper can meet the requirements of the current UAV velocity measurement of maneuvering targets in terms of real-time and reliability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Low-Cost Fine-Grained interpretation method of remote sensing images based on weakly supervised instance segmentation

引用

National Remote Sensing Bulletin 2025年第4期29卷 1002-1016页

作者： Chen, Man Huang, Yongjie Xu, Lei Pan, Zhisong College of Command and Control Engineering Army Engineering University of PLA Nanjing210007 China

Remote sensing image interpretation has essential application values in various fields, such as urban management, maritime monitoring, and resource planning. As an important and challenging task in remote sensing image interpretation, instance segmentation of remote sensing images can achieve target-level localization and pixel-level classification of objects of interest with fine granularity, making it a current research hotspot. However, most existing remote sensing image instance segmentation methods adopt the fully supervised paradigm and require expensive pixel-level labels. Moreover, remote sensing images often have issues such as mixed foreground and background and complex target contours, making segmentation challenging. To overcome these challenges, we propose a prior information-driven system suitable for weakly supervised instance segmentation tasks in remote sensing images and a multiprior driven weakly supervised instance segmentation network (MPD-WSIS-Net) to address these challenges. The prior information of weakly supervised instance segmentation can be divided into task prior and image prior. The task prior mainly comes from the bounding box detection task, which is closely related to instance segmentation. Specifically, the study obtains prior information from three components: box – mask projection consistency constraint, pixel discrimination difficulty representation function, and center position prior constraint. The image prior comes from summarizing or excavating information about the image itself. In this study, we focus on the relationships between neighboring pixels in the image and the gradient information of targets. By integrating these constraints and the pixel discrimination difficulty representation function, we establish a complete prior information driving system to enable MPD-WSIS-Net effectively to perform instance segmentation tasks under weakly supervised conditions in remote sensing images. MPD-WSIS-Net was compared with weakly

关键词： Photointerpretation

来源：评论

学校读者我要写书评

暂无评论

Offline prompt reinforcement learning method based on feature extraction

引用

PeerJ Computer Science 2025年 11卷 e2490-e2490页

作者： Yao, Tianlei Chen, Xiliang Yao, Yi Huang, Weiye Chen, Zhaoyang College of Command and Control Engineering Army Engineering University of PLA Nanjing China

Recent studies have shown that combining Transformer and conditional strategies to deal with offline reinforcement learning can bring better results. However, in a conventional reinforcement learning scenario, the agent can receive a single frame of observations one by one according to its natural chronological sequence, but in Transformer, a series of observations are received at each step. Individual features cannot be extracted efficiently to make more accurate decisions, and it is still difficult to generalize effectively for data outside the distribution. We focus on the characteristic of few-shot learning in pre-trained models, and combine prompt learning to enhance the ability of real-time policy adjustment. By sampling the specific information in the offline dataset as trajectory samples, the task information is encoded to help the pre-trained model quickly understand the task characteristics and the sequence generation paradigm to quickly adapt to the downstream tasks. In order to understand the dependencies in the sequence more accurately, we also divide the fixed-size state information blocks in the input trajectory, extract the features of the segmented sub-blocks respectively, and finally encode the whole sequence into the GPT model to generate decisions more accurately. Experiments show that the proposed method achieves better performance than the baseline method in related tasks, can be generalized to new environments and tasks better, and effectively improves the stability and accuracy of agent decision making. Copyright 2025 Yao et al. Distributed under Creative Commons CC-BY 4.0

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

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

Distributed Consensus Control Research of Unmanned Aerial Ve...

引用

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

来源：评论

学校读者我要写书评

暂无评论

A Study on the Evaluation Method of Software Requirements Satisfaction Based on Multi-task Scene Flow 25

A Study on the Evaluation Method of Software Requirements Sa...

引用

Proceedings of the 4th International Conference on Computer, Artificial Intelligence and control engineering

作者： Ruiyang Li Weixing Zhu Min Gu Yunquan Xie Command and Control Engineering College of Army Engineering University of PLA Nanjing Jiangsu China

ISBN: (纸本)9798400712647

In the field of test and evaluation of weapon and equipment, capability Evaluation of military software is crucial to meet the mission requirements as much as possible. In order to improve the accuracy and reliability of the evaluation conclusion, a capability requirement satisfaction evaluation method, based on multi-task scenario flow and inspired by software scenario testing, is proposed in this paper. This method combines qualitative analysis with quantitative calculation. Firstly, it analyzes the typical mission scenarios and generates scenario flow diagram. Subsequently, it calculates capability importance scores according to the mapping between events and capability indicators. Then, it uses a capability requirement satisfaction function to calculate the capability value and analyzes the correlation between capability indicators based on the functional dependency network. Finally, the effectiveness of the method is verified by a case. The results show that this method can identify the shortcomings and constraints of the software capability, and expand software evaluation work from "quality assurance" to "capability assurance".

关键词： Capability Evaluation

来源：评论

学校读者我要写书评

暂无评论

Exploring Universal Adversarial Attacks on DNN-Based Automatic Modulation Recognition using Joint Metrics

引用

IEEE Transactions on Wireless Communications 2025年

作者： Zhou, Xingyu Yu, Xiaohan Zhang, Yuming Zeng, Weijun Army Engineering University of PLA Faculty of Communication Engineering College Jiangsu Nanjing China Army Engineering University of PLA Faculty of Control Engineering College Jiangsu Nanjing China

With its remarkable capability for automated feature extraction, deep neural networks (DNNs) have achieved significant breakthroughs in numerous fields. However, recent studies indicate that deep models are vulnerable to adversarial attacks. In the automatic modulation recognition (AMR) task, the attacker injects imperceptible adversarial perturbations into the radio signals, causing the receiver to misidentify the adversarial examples as incorrect modulation patterns. In this article, we propose an input-independent universal adversarial perturbation (UAP) generation method to attack DNN-based AMR. The proposed method, termed Joint Metric-based Universal Adversarial Perturbation (JM-UAP), strives to enhance the aggressiveness of UAPs by minimizing the similarity metric between feature vectors extracted from benign examples and adversarial examples. To achieve this, feature vectors derived from the penultimate layer of the DNN are chosen as the optimization objects. The dissimilarity between these feature vectors is assessed by combining two metrics, the Adjusted cosine similarity and the Pearson correlation. Extensive experiments demonstrate that our approach significantly reduces the accuracy of AMR models, exhibits robust transferability across various deep models and multiple signal-to-noise ratios (SNRs) datasets, and performs well even in asynchronous scenarios. © 2025 IEEE. All rights reserved.

关键词： Signal modulation

来源：评论

学校读者我要写书评

暂无评论

FineBID: Fine-Grained Protocol Reverse engineering for Bit-Level Field IDentification

引用

IEEE Transactions on Dependable and Secure Computing 2025年第3期22卷 2670-2686页

作者： Huang, Tao Gao, Yansong Zheng, Yifeng Wang, Zhanfeng Hu, Chao Fu, Anmin Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China Xidian University State Key Laboratory of Integrated Services Networks Xian710071 China University of Western Australia CrawleyWA6009 Australia Harbin Institute of Technology School of Computer Science and Technology Guangdong Shenzhen518055 China Lexbell Company Ltd. Nanjing210014 China Army Engineering University of PLA College of Command and Control Engineering Nanjing210007 China

Protocol Reverse engineering (PRE) serves as the foundation for numerous security analysis techniques, such as vulnerability mining and intrusion detection, etc. The PRE analysis precision can directly affect the accuracy of these downstream techniques. The network-trace-based PRE technique has become the mainstream PRE technique attributed to its ease of implementation. However, without the prerequisite of additional dedicated devices or knowledge of information, the analysis precision of existing network-trace-based PRE methods is often achievable at only byte or half-byte level but not the fine-grained bit-level, which makes it increasingly challenging to meet the precision requirements of those downstream security applications. In this work, we propose a fine-grained PRE scheme, named FineBID, which makes the identification capability in a fine-grained manner for existing network-trace-based PRE methods into bit-level fields. FineBID follows the global characteristics of protocol fields and constructively models the bit-level field identification problem as a multi-objective decision model, which thus effectively overcomes the insufficient representativeness of bit-level fields’ local characteristics. Then, the multi-objective decision model is solved to obtain the Pareto solution set for different field segmentation levels, and the utility value per bit is further computed. The utility value can be used as the immediate indicator to determine whether each bit is a field boundary or not. Meanwhile, we propose an Actual Ground Truth that is more in line with the actual usage of each bit. With extensive experiments on the Internet, wireless, and industrial protocols, we affirm that FineBID can not only significantly reduce the search space for Ground Truth or Actual Ground Truth with a space reduction of 95.3% compared to exhaustive search, but also identify Ground Truth or Actual Ground Truth more accurately than other similar methods. © 2004-2012 IEEE.

关键词： Reverse engineering

来源：评论

学校读者我要写书评

暂无评论

Evolution Mechanism of Unmanned Cluster Cooperation Oriented Toward Strategy Selection Diversity

引用

Journal of Systems engineering and Electronics 2025年第2期36卷 462-482页

作者： Xie Zhenhai Yu Minggang He Ming Chen Guoyou Zhai Zheng Wang Ziyu Liu Lu Institute of Command and Control Engineering Army Engineering University of PLA Nanjing China Unit 31630 of the Chinese People's Liberation Army Huizhou China

When performing tasks, unmanned clusters often face a variety of strategy choices. One of the key issues in unmanned cluster tasks is the method through which to design autonomous collaboration and cooperative evolution mechanisms that allow for unmanned clusters to maximize their overall task effectiveness under the condition of strategic diversity. This paper analyzes these task requirements from three perspectives: the diversity of the decision space, information network construction, and the autonomous collaboration mechanism. Then, this paper proposes a method for solving the problem of strategy selection diversity under two network structures. Next, this paper presents a Moran-rule-based evolution dynamics model for unmanned cluster strategies and a vision-driven-mechanism-based evolution dynamics model for unmanned cluster strategy in the context of strategy selection diversity according to various unmanned cluster application scenarios. Finally, this paper provides a simulation analysis of the effects of relevant parameters such as the payoff factor and cluster size on cooperative evolution in autonomous cluster collaboration for the two types of models. On this basis, this paper presents advice for effectively addressing diverse choices in unmanned cluster tasks, thereby providing decision support for practical applications of unmanned cluster tasks.

关键词： Games Collaboration Modeling Stochastic processes Information processing Heuristic algorithms Complex networks Investment Hands Decision making

来源：评论

学校读者我要写书评

暂无评论

Evolution mechanism of unmanned cluster cooperation oriented toward strategy selection diversity

引用

系统工程与电子技术（英文版） 2025年第2期 462页

作者： XIE Zhenhai YU Minggang HE Ming CHEN Guoyou ZHAI Zheng WANG Ziyu LIU Lu Institute of Command and Control Engineering Army Engineering University of PLA Unit 31630 of the Chinese People's Liberation Army

When performing tasks,unmanned clusters often face a variety of strategy *** of the key issues in unmanned cluster tasks is the method through which to design autonomous collaboration and cooperative evolution mechanisms that allow for unmanned clusters to maximize their overall task effectiveness under the condition of strategic *** paper analyzes these task requirements from three perspectives:the diversity of the decision space,information network construction,and the autonomous collaboration ***,this paper proposes a method for solving the problem of strategy selection diversity under two network ***,this paper presents a Moran-rule-based evolution dynamics model for unmanned cluster strategies and a vision-driven-mechanism-based evolution dynamics model for unmanned cluster strategy in the context of strategy selection diversity according to various unmanned cluster application ***,this paper provides a simulation analysis of the effects of relevant parameters such as the payoff factor and cluster size on cooperative evolution in autonomous cluster collaboration for the two types of *** this basis,this paper presents advice for effectively addressing diverse choices in unmanned cluster tasks,thereby providing decision support for practical applications of unmanned cluster tasks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An executable modeling and analyzing approach to C4ISR architecture

引用

Journal of Systems engineering and Electronics 2020年第1期31卷 109-117页

作者： HE Hongyue ZHU Weixing LI Ruiyang DENG Qiaoyu Institute of Command and Control Engineering Army Engineering University of PLA

To analyze the behavioral model of the command,control,communication,computer,intelligence,surveillance,reconnaissance(C4ISR)architecture,we propose an executable modeling and analyzing approach to ***,the meta concept model of the C4ISR architecture is *** to the meta concept model,we construct the executable meta models of the C4ISR architecture by extending the meta models of ***,we define the concrete syntax and executable activity algebra(EAA)semantics for executable *** semantics functions are introduced to translating the syntax description of executable models into the item of *** support the execution of models,we propose the executable rules which are the structural operational semantics of ***,an area air defense of the C4ISR system is used to illustrate the feasibility of the approach.

关键词： command control communication computer intelligence surveillance reconnaissance(C4ISR)architecture meta model executable model algebraic semantics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：