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3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Song, Xiaorui Wu, Lingda Hao, Hongxing Graduate School Space Engineering University Beijing China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

The hyperspectral image(HSI) generated by most imaging spectrometer systems is constantly disturbed by noise. In this research, we introduced an HSI denoising method based on the theory of sparse coding extended to the spectral domain. The algorithm employs variable separation method and augmented Lagrangian method in sparse coding and constitutes the adaptive dictionary from the pixel spectral vectors extracted from the noisy image. Our results demonstrate that the HSI denoising performance is related to the sparsity of the representation. The effectiveness of the new adaptive sparse coding based approach to hyperspectral denoising, termed HyDeASp, is illustrated in a series of experiments on synthetic and real-world data where it outperforms the state-of-the-art. © 2018 IEEE.

关键词： Image denoising

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A Band Stop Decoupling Structure for Circularly Polarized Antennas With Different Intervals

A Band Stop Decoupling Structure for Circularly Polarized An...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Ding, Yuhang Deng, Shasha Chen, Weidong Zhang, Zhongxiang Chen, Chang University of Science and Technology of China School of Information Science and Technology Hefei230031 China Hefei Normal University Key Laboratory of Simulation and Design for Electronic Information System Hefei230601 China

ISBN: (纸本)9781665452366

In this paper, a novel band stop decoupling structure (BSDS) for circularly polarized microstrip antenna array with different intervals to realize mutual coupling reduction is proposed. The BSDS is composed of complementary split-rings resonator (CSRRs) and split-rings resonator (SRRs), where the CSRRs block TM waves by electric resonance and the SRRs block TE waves by magnetic resonance, respectively. The proposed design is verified by the simulation and the results indicate that the isolation enhancement more than 35 dB can be obtained at the center frequency of 3.4 GHz when the center spacing is 0.37 λ0. Futhermore, when the center spacing reduces to 0.26 λ0, the mutual coupling remains below 25 dB. Besides, the BSDS can improve the radiation pattern offset without affecting the gain and the backward radiation of antennas. © 2022 IEEE.

关键词： Magnetic resonance

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Knowledge-driven material design platform based on the whole-process simulation and modeling

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International Journal of Modeling, simulation, and Scientific Computing 2022年第2期13卷 1-15页

作者： Gongzhuang Peng Tie Li Xiang Zhai Wenzheng Liu Heming Zhang National Engineering Research Center for Advanced Rolling Technology University of Science and Technology Beijing Beijing 100083 P.R.China Shanghai Electro-Mechanical Engineering Institute Shanghai 201109 P.R.China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing 100854 P.R.China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing 100854P.R.China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing 100854P.R.China National CIMS Engineering Research Center Tsinghua University Beijing 100084P.R.China

In order to realize the agility,collaboration and visualization of alloy material devel-opment process,a product development platform based on simulation and modeling technologies is established in this *** this platform,the whole-process simulation module builds multi-level simulation models based on metallurgical mechanisms from the production line level,the thermo-mechanical coupling field level and the microstructure evolution *** design knowledge management module represents the multi-source heterogeneous material design knowledge through ontology model,including customers’requirement knowledge,material component knowledge,process design knowledge and quality inspection knowledge,and utilizes the case-based reasoning approach to reuse the *** data-driven modeling module applies machine learning algorithms to mine the relationships between product mechanical properties,material components,and process parameters from historical samples,and utilizes multi-objective optimiza-tion algorithms to find the optimal combination of process *** of the developed platform in actual steel mills shows that the proposed method helps to improve the efficiency of product design process.

关键词： Product development knowledge-based engineering multi-scale simulation performance prediction model

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Semi-supervised Open-set Recognition of Radar Active Jamming

Semi-supervised Open-set Recognition of Radar Active Jamming

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2021 CIE International Conference on Radar, Radar 2021

作者： Li, Hao Fang, Xueli Zhang, Lei Kang, Hui Zhang, Wei School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665498142

With the emergence of various kinds of complex radar jamming, radar jamming intelligent recognition technology has increasingly become the key to electronic counter-counter measures. To achieve radar jamming open-set recognition with a small number of tagged samples, Generative adversarial network-based pseudolabeled convolutional neural network (GAN-PL-CNN) model is proposed in this paper. Firstly, radar jamming is modelled, and the radar jamming datasets with known and unknown types are established after time-frequency transformation and image processing. Then, the adaptive pseudolabeling method is used to achieve semi-supervised recognition of radar jamming by combining the learning capability of convolutional neural networks and the characteristics of pseudolabeling to increase labeled samples intelligently. Finally, generative adversarial networks are introduced to enhance the recognition ability of the model and the discrimination ability of the unknown type through the game between the generator and the discriminator in the iterative process. Experimental results show that the GAN-PL-CNN model achieves 89.7%-95.1% for known types and 30.7%-86.8% for unknown types at 3%-6% labeling rate. As the number of labeled samples increases, the recognition effect becomes better and has a greater ability to exclude unknown type. © 2021 IEEE.

关键词： convolutional neural network open-set recognition pseudo-label Radar active jamming

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Radar Signal Modulation Recognition Based on Bispectrum Features and Deep learning 2

Radar Signal Modulation Recognition Based on Bispectrum Feat...

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2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Dong, Zeyu Lv, Fengrong Wan, Tao Jiang, Kaili Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

Signal bispectral transformation can not only suppress the influence of Gaussian white noise on signal modulation recognition, but also retain the signal amplitude and phase information. It is also used to extract the non-linear characteristics. Compared with other high-order spectra, bispectrum has a simple processing flow. However, the direct use of all bispectrum as signal features will lead to two-dimensional template matching, causing lots of calculations. Converting two-dimensional bispectrum into one-dimensional sequence, for example, extracting slice information of bispectrum, or using integral bispectrum apparently reduce the amount of data to be processed while retaining part of the bispectrum information. We input the extracted bispectral transformation of radar signals into the neural network to realize modulation recognition. The simulations validate our conclusions that our proposed methods still have a high recognition probability while SNR is low. © 2021 IEEE.

关键词： Template matching

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Radar Signal Detection Based on Ambiguity Function and Deep Learning 2

Radar Signal Detection Based on Ambiguity Function and Deep ...

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2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Lv, Fengrong Dong, Zeyu Wan, Tao Jiang, Kaili Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

The ambiguity function describes the joint characteristics of the signal in the time domain and the frequency domain, and is usually used for signal recognition. The time domain and frequency domain distribution of noise is more spurious than the signal. Its ambiguity function can also reflect its characteristics. However, the direct use of the ambiguity function as the signal feature will increase the amount of calculation of the detection system, so slice it, which reduces the burden on the system for detecting signal information while preserving the information. At the same time, the radar signal detection based on neural network can avoid the influence of artificially setting the threshold on the detection performance of the system. So, we propose an algorithm for inputting the extracted fuzzy function slice sequence into a neural network to realize signal detection. simulation proves that when the signal-To-noise ratio of the received signal is very low, our proposed method still has a high detection probability. © 2021 IEEE.

关键词： Signal detection

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Research on starlight hardware-in-the-loop simulator

Research on starlight hardware-in-the-loop simulator

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International Symposium on Optoelectronic technology and Application 2016(OTA 2016)——Conf.5 Optical Measurement technology and Instrument

作者： ZHANG Ying GAO Yang LIU Dongfang DU Huijie LEI Jie Science and Technology on Special System Simulation Laboratory Beijing Simulation Center

The starlight navigation is considered one of the most essential methods for spacecraft *** simulation system is a high-precision system with large fields of view and is designed to t

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Target Identity Fusion Method Based on Improved DS Evidence Theory 3

Target Identity Fusion Method Based on Improved DS Evidence ...

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3rd International Conference on Electronic Information Engineering and Computer, EIECT 2023

作者： Wang, Yi Liu, Desheng Yang, Yang Liu, Jiatong Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing101400 China Space Engineering University Beijing101400 China

ISBN: (纸本)9798350357707

Target data detected by multi-sensors often differ from each other due to different sensor performances, resulting in uncertainty of target identity information. Traditional Dempster-Shafer (DS) evidence theory may achieve counter-intuitive outcomes facing evidence conflicts caused by the uncertainty. Aiming for this, a novel target identity fusion method based on improved DS evidence theory is proposed in this paper. Specifically, the method considers the correlation between evidences and the importance of evidences integrally. First, an improved conflict measurement method based on Pearson correlation coefficient matrix is devised to measure the evidence credibility. Next the information volume of evidences is measured by Deng-entropy to indicate the evidence uncertainty. Then the credibility and uncertainty are weighted and combined to modify the basic probability assignment (BPA) of evidences. Ultimately, the modified evidences are fused by Dempster's combination rule to acquire the final results. Through three numerical analysis examples, this paper demonstrates the superiority of the proposed method over typical previous approaches, which can effectively process evidence conflicts in multi-sensors information fusion. © 2023 IEEE.

关键词： Numerical methods

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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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A General Framework for Chinese Domain Knowledge Graph Question Answering Based on TransE 3

A General Framework for Chinese Domain Knowledge Graph Quest...

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2020 3rd International Conference on Computer Information science and Artificial Intelligence, CISAI 2020

作者： Pei, Zhongmin Zhang, Jie Xiong, Wei Li, Li Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China Gaojing Network Management and Security Center Beijing China

This paper introduces a general question answering (QA) framework for Chinese domain knowledge graphs to serve various industries. The question is analyzed by shielding invalid characters in this framework, and the TransE calculation of entities and relations is used to search answer, rather than traditional logical queries that rely heavily on predefined rules. In this way, the QA framework can be easily applied to different fields with little manual participation, and reduce the migration cost caused by the lack of scalability of the existing QA systems, which are designed only for specific domains. Then, the proposed framework is operated on the space launch knowledge graph and has achieved HITS@1, HITS@3, HITS@5 scores of 60.60%, 80.87%, 85.61% separately, which is competitive with other restricted domain knowledge graphs. In addition, numerical results on the knowledge graph of the Three Kingdoms and the COVID-19-Character verified the scalability of the QA framework. © Published under licence by IOP Publishing Ltd.

关键词： Knowledge graph

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