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2013 International Conference on Applied Mechanics, Mechatronics and Intelligent system, AMMIS 2013

作者： Yang, Haitao Li, Peng Wei Zhao, Hong Li Science and Technology on Complex Electronic System Simulation Laboratory Academy of Equipment Beijing 101416 China Company of Postgraduate Management Academy of Equipment Beijing 101416 China Academy of Equipment Beijing 101416 China

ISBN: (纸本)9783037857625

This paper studies how to use the cognitive model to model the behavioral decision-making for the tactical level simulation. The decision making process includes initial behavior planning and behavior modification. This method has the advantages of accuracy and real-time, this makes the behaviors of the simulation entity more realistic and improves the credibility of simulation. © (2013) Trans Tech Publications, Switzerland.

关键词： Decision making

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Transformer based Online Continuous Multi-Target Tracking with State Regression 12

Transformer based Online Continuous Multi-Target Tracking wi...

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12th IEEE International Conference on Control, Automation and Information sciences, ICCAIS 2023

作者： Wei, Xinwei Chen, Linxiu Zhang, Chenyu Lin, Yiru Zhang, Linao Liu, Xiaokai Jiang, Jixiang Yi, Wei University of Electronic Science and Technology of China School of Information and Communication Engineering China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory China University of Electronic Science and Technology of China Research Institute of Electronic Science and Technology China

ISBN: (纸本)9798350328783

Multi-target Tracking (MTT) is the process of processing received measurements to maintain estimates of the current status of multiple targets, with important applications to autonomous driving, aerial reconnaissance, underwater operations, and others. In the model-based setting, Bayesian filtering can provide the theoretical optimal estimate in a single target scenario. However, in complex situations, uncertain factors such as changes in the number of targets will cause the amount of calculation to increase exponentially, resulting in a decline in tracking accuracy. To solve that problem, model-free methods based on deep-learning provide an attractive alternative, especially the state-of-the-art architecture Transformer based encoder-decoder prediction model, which outperforms the Bayesian filters in the single frame prediction tasks. However, when switching to continuous tracking, these algorithms need to be trained separately frame by frame to adapt to the new tasks. Still, there is no correlation between their predictions from different frames, which prevents them from fully utilizing all the measurements. In this paper, we propose an end-to-end Transformer based MTT method with state autoregression, which allows the model to have the capability of online continuous tracking and make total use of the entire trajectory. The results show that the proposed model is a great extension from single-frame prediction to online continuous tracking. © 2023 IEEE.

关键词： Forecasting

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A LSTM-based method for simulation execution validity evaluation 33

A LSTM-based method for simulation execution validity evalua...

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33rd European Modeling and simulation Symposium, EMSS 2021

作者： Wang, YuLun Li, Wei Li, Jing Control and Simulation Center Harbin Institute of Technology Harbin150080 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China

This paper improves the concept of simulation execution validity and a methodology to assess the complex simulation system. As the complexity of the simulation system gradually rises, the magnitude of the simulation data obtained continues to increase, which makes it extremely difficult for experts to provide expert knowledge to evaluate the execution validity of the simulation system. More precisely, the essence of execution validity is to dig out the hidden relationships in the simulation time series data and complete the classification task whether it is valid. Considering that machine learning can better complete the two tasks of mining data features and classification, this paper adopts long short-term memory, a neural network used to process time series data, to evaluate the execution validity. Finally, an experiment is conducted on a simulation system, and the results show that the evaluation method based on LSTM can accurately evaluate the validity of the simulation system, and can greatly improve the efficiency of evaluation. © 2021 The Authors.

关键词： Long short-term memory

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Methods & application of evaluation modeling of multi-project and multi-attribute decision making

Methods & application of evaluation modeling of multi-projec...

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IASTED International Conference on Applied simulation and Modelling, ASM 2011

作者： Wei, Jicai Wang, Nuanchen Ren, Tingguang Zhang, Jing Li, Qiang Beijing Institute of System Engineer Science and Technology on Complex Systems Simulation Laboratory Post Box. 9702#19 Beijing 100101 China

ISBN: (纸本)9780889868939

Multi-project and multi-attribute decision making can be characterized as a process of overall coordination and optimization. Through the application analysis of decision making, the analysis process of decision making are projected on basis of targets, methods and evaluation;then with the combination of qualitative and quantitative methods and consideration of the features of exponential model, interval ergodic analysis method is proposed and finally established. The evaluation model to be structured on basis of the method gets multiple projects and attributes involved, and conducts ergodic calculation on condition of the given target criteria and certain region of each attribute so as to get the evaluation of the multiple projects accomplished. At last, a case study is provided in order to further elaborate the application of the analysis procedures of decision making and the interval ergodic analysis method in the multi-project and multi-attribute decision making.

关键词： Decision making

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Design of optimal trajectory transition controller for thrust-vectored V/STOL aircraft

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science China(Information sciences) 2021年第3期64卷 235-237页

作者： Zhiqiang CHENG Jihong ZHU Xiaming YUAN Xiangyang WANG Department of Computer Science and Technology Tsinghua University Key Laboratory of Complex Ship System Simulation

Dear editor,In recent years, vertical and/or short take-off and landing(V/STOL) aircraft have attracted much attention because they combine the efficiency of fixed-wing vehicles with the flexibility of traditional ver... 详细信息

关键词： backward propagation V/STOL transition control thrust-vector optimal trajectory

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A maneuvering penetration strategy via integrated flight/propulsion guidance and control method for air-breathing hypersonic vehicle

A maneuvering penetration strategy via integrated flight/pro...

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2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

作者： Xue, Kong Guodong, Ning Ming, Yang Songyan, Wang Harbin Institute of Technology Control and Simulation Center and Science and Technology Complex System Control and Intelligent Agent Cooperation Laboratory China Beijing Electro-Mechanical Institute China Harbin Institute of Technology Control and Simulation Center China

ISBN: (纸本)9781538611715

Given a maneuvering control strategy for air-breathing hypersonic vehicle, which adopt the compound integrated flight/propulsion guidance and control method, further excavation the capability of scramjet to run stable and low fuel consumption, on this basis, implement accelerate snake maneuver, improve the survival probability of weapons, guarantee the practical application ability of the project. Take one certain type of air-breathing hypersonic vehicle as an example, on the basis of an accurate simulation model, several groups of simulation analysis are carried out, the simulation results show that the method is effective and reliable. © 2018 IEEE.

关键词： Hypersonic vehicles

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Collaborative Filtering Recommendation Algorithm of Weaponry Based on Knowledge Graph

Collaborative Filtering Recommendation Algorithm of Weaponry...

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Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Xiao Li Desheng Liu Qing Chang Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing

ISBN: (纸本)9781665428781

Nowadays, modern warfare has changed from weapon-centric operations to network-centric system operations, which has led to the phenomenon of sea-level quantification of weaponry. It is an important research topic for combat commanders to select suitable weaponry from a large number of available resources when facing combat tasks. Recommendation technology is a solution to this problem, which can effectively solve the problem of information overload, so that combat commanders do not produce the phenomenon of “information loss”, in the shortest possible time to make the right decision. Therefore, this paper proposes a collaborative filtering recommendation algorithm for weaponry based on the knowledge graph and the idea of collaborative filtering. In this algorithm, the knowledge graph provides a clear data model with various association relationships, and the collaborative filtering algorithm can realize it without relying on professional experience, which can realize the recommendation process more actively, faster and more intelligently.

关键词： Weapons Collaborative filtering systems operation Conferences Filtering algorithms Big Data Information filters

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Research on the information system architecture design framework and reference resources of American Army 21

Research on the information System architecture design frame...

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Proceedings of the 3rd International Conference on Advanced Information science and system

作者： Ping Jian Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory China

ISBN: (纸本)9781450385862

The concept of architecture is put forward by the US Army, which refers to the composition structure of the system and its mutual relationship, as well as the principles and guidelines guiding the design and development of the system. Architecture design technology and its reference resources have important theoretical and technical support for the top-level design of information system. Based on the analysis of architecture technology and function, this paper systematically studies the connotation and development history of the architecture design framework of the US army, and sorts out the main reference resources of the architecture design of the US army, such as the common joint task list, information system interoperability level model, joint technology architecture. It provides useful reference for the theoretical and technical research of information system top-level design.

关键词： Architecture design

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The Synthetic Aperture Radar-based Image Augmentation Using Generative Adversarial Network 23

The Synthetic Aperture Radar-based Image Augmentation Using ...

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Proceedings of the 2023 8th International Conference on systems, Control and Communications

作者： Kai Zhao Wei Xiong Xiaolan Yu Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory China

ISBN: (纸本)9798400707810

Synthetic aperture radars (SARs), characterized by their excellent performance, have found wide use in military applications. SAR-based image recognition is an important research area. Neural networks (NNs) have been widely used for image recognition and have demonstrated high recognition accuracy. However, NNs require a significant amount of data for training. In situations with limited training data, it is difficult to obtain satisfactory recognition accuracy using NNs. One approach toward alleviating the problems associated with small training sets is data augmentation. Here, we propose a novel SAR-based image augmentation method: using CycleGAN, aerial images are transformed into SARformat images, thereby allowing expansion of the SAR dataset. To improve the quality of these transformed images, we designed two filters: 1) a pre-filter for selecting images that are suitable for the transformation and 2) a post-filter for selecting suitable images after the transformation; this allows approximating the transformed images as real SAR images. We validated our method on the SSDD dataset. Our experimental results show that compared with the traditional data augmentation method, our method exhibits better recognition performance. With only 300 transformed images, the mean average precision improved from 66% to 76%, using only a small fraction of the SSDD dataset, thus overcoming the problem of small-sized training sets.

关键词： Cycle GAN Image augmentation Synthetic aperture radars

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A guided fuzzing approach for security testing of network protocol software

A guided fuzzing approach for security testing of network pr...

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IEEE International Conference on Software Engineering and Service sciences (ICSESS)

作者： Jun Cai Peng Zou Dapeng Xiong Jun He Science and Technology on Complex Electronic System Simulation Laboratory The Academy of Equipment Beijing China

ISBN: (纸本)9781479983544

Software vulnerabilities are one of the root causes of network security issues. Software security testing is an essential part of secure software development. Fuzzing has been proven to be an effective dynamic software security testing method. In this paper we present a guided fuzzing approach based on dynamic taint analysis for security testing of network protocol software. This approach identifies the security sensitive functions of target application affected by network packets via dynamic taint analysis, and generates testcases by mutating these packets with the elements of a fuzz library. Due to the guidance of taint information, it to some extend overcomes the blindness of traditional fuzzing methods and improves efficiency. The approach integrates several successive steps, we currently focus on the taint analysis step and have received interesting preliminary experimental results.

关键词： Security Protocols Software Monitoring Libraries Testing Sockets

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