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Proceedings of the 2020 2nd International Conference on Big-data Service and Intelligent Computation

作者： Junhui Wang Shuangyin Ren Jiezhong He Xiaolan Ji Diqing Huang College of Computer National University of Defense Technology and State Key Laboratory of Mathematical Engineering and Advanced Computing China National Key Laboratory of Science and Technology on Information System Security Institute of Systems Engineering Academy of Military Science College of Computer National University of Defense Technology

ISBN: (纸本)9781450388399

As more embedded environments need license plate recognition systems, how to recognize car plates with high speed/accuracy and low energy has become an important and challenging problem. In this paper, we propose a ultra-Fast miNi (FaNi) license plate recognition (LPR) system. The FaNi system are divided into one training sub-system and one inference sub-system. The former are used to get some offline features; then, the latter is deployed online to recognize license numbers with nearly real-time speed. The inference system is comprised of the vision processing unit (VPU) and the display unit. These two parts are both implemented with hardware logic. Experiments show that the FaNi system can obtain high accuracy and high speed with low resource cost.

关键词： VPU Plate Recognition system FPGA

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Dynamic RCS Simulation Using Active Frequency Selective Surface

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IET Radar, Sonar and Navigation 2025年第1期19卷

作者： Feng, Dejun Fang, Yumeng Kong, Yameng Wang, Junjie Chen, Liwei Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha China

In the experimental test of the radar system, it is extremely important to build a realistic experimental environment for electromagnetic target testing, which is often realised by the radar target simulation technology. Corner reflectors often simulate radar RCS features by the spatial arrangement;however, their electromagnetic characteristics are solidified and the RCS features differ from those of real targets. This paper proposes a target RCS simulation method based on AFSS echo power modulation. The core idea is to use AFSS reflection modulation to dynamically regulate the target power information to achieve flexible and fast control of the target radar RCS characteristics. Based on the AFSS echo power modulation model, the theoretical relationship between the modulation parameters and the RCS value is deduced, and the duty cycle of the scattering state control signal is used as an adjustable variable to realise the simulation of the dynamic RCS sequence of the mid-range target. The RCS simulation experiment is carried out based on the target measured data, and the simulation effect is analysed in terms of statistical characteristics and similarity coefficients. The simulation results show that the statistical characteristics of the simulated RCS sequence and the target RCS sequence are very close to each other with the mean value and standard deviation within 1 dBsm and the extreme value and extreme deviation within 3 dBsm. The method is of great significance in the field of radar system tests and electronic protection. © 2025 The Author(s). IET Radar, Sonar & Navigation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and technology.

关键词： Signal modulation

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A Retina-LGN-V1 Structure-like Spiking Neuron Network for Image Feature Extraction 21

A Retina-LGN-V1 Structure-like Spiking Neuron Network for Im...

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Proceedings of the 2021 5th International Conference on Video and Image Processing

作者： Sheng Ji Qijun Gu Ye Yuan Peng Zhao Tao Fang Hong Huo Xin Niu Department of Automation_School of Electronic Information and Electrical Engineering_Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University China College of Computer Science and Technology on Parallel and Distributed Laboratory National University of Defense Technology China

ISBN: (纸本)9781450385893

SNNs have achieved great attention in recent years as they contain neurons more like those in the brain and use spikes to encode and transmit information efficiently among neurons with lower energy consumption. A Retina-LGN-V1 structure-like spiking neuron network (RLVSL-SNN) is proposed in this paper. It is inspired by the structure of mammalian primary visual pathway, and simulates different biological structures of Retina, LGN and V1. Noise reduction circuit and light adaptation circuit are also simulated for enhancing the robustness of its extracted features. RLVSL-SNN is a bio-plausible neuron network as it has firing rates of neurons in each layer that are similar to those of biological experiments. Besides, a full-connected SNN (FC SNN) is implemented following RLVSL-SNN for classification to evaluate the extracted features. The additive spiking timing dependent plasticity (STDP) learning rules and the ANN-to-SNN conversion method are utilized to train RLVSL-SNN and FC SNN, respectively. The experiments on MNIST dataset have verified that RLVSL-SNN is comparable to AlexNet for classification by features from spikes.

关键词： Additive Spiking Timing Dependent Plasticity Learning Primary Visual Pathway Image Classification Spiking Neural Network

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An improved functional dependency network model for information systems effectiveness analysis 2020

An improved functional dependency network model for informat...

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2020 International Conference on Wireless Communication and Sensor Networks, icWCSN 2020

作者： Luo, Aimin Yi, Shuanghui Liu, Junxian Kou, Yuxiao Gao, Lanlan Zhang, Mengmeng Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha Hunan410073 China National Key Laboratory for Complex System Simulation Beijing China Academy of Military Science of the PLA Beijing100000 China

ISBN: (纸本)9781450377638

To address the limitations of the FDNA approach, in this paper, we analyze the dependency of the receiver node on the feeder nodes as well as the impact of the node's operability level on the system effectiveness, and improve the FDNA approach. We also propose a computing method for system effectiveness based on an improved FDNA model, and conduct relevant case verification. © 2020 ACM.

关键词： Information systems

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AFAP1-AS1: a rising star among oncogenic long non-coding RNAs

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science China(Life sciences) 2021年第10期64卷 1602-1611页

作者： Fang Xiong Kunjie Zhu Su Deng Hongbin Huang Liting Yang Zhaojian Gong Lei Shi Yi He Yanyan Tang Qianjin Liao Jianjun Yu Xiaoling Li Yong Li Guiyuan Li Zhaoyang Zeng Wei Xiong Shanshan Zhang Can Guo Science and Technology on Information System Engineering Laboratory National University of Defense TechnologyChangsha 410000China Department of Periodontology Center of StomatologyXiangya HospitalCentral South UniversityChangsha 410078China NHC Key Laboratory of Carcinogenesis and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education of China Cancer Research InstituteCentral South UniversityChangsha 410078China Hunan Key Laboratory of Cancer Metabolism Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangsha 410013China Department of Oral and Maxillofacial Surgery The Second Xiangya HospitalCentral South UniversityChangsha 410011China Department of Medicine Dan L Duncan Comprehensive Cancer CenterBaylor College of MedicineHoustonTexasUSA

Long non-coding RNAs(lncRNAs)have become a hotspot in biomedical *** interest reflects their extensive involvement in the regulation of the expression of other genes,and their influence on the occurrence and development of a variety of human *** filament associated protein 1-Antisense RNA 1(AFAP1-AS1)is a recently discovered oncogenic *** is highly expressed in a variety of solid tumors,and regulates the expression of downstream genes and signaling pathways through adsorption and competing microRNAs,or by the direct binding to other ***,AFAP1-AS1 promotes proliferation,chemotherapy resistance,and resistance to apoptosis,maintains stemness,and enhances invasion and migration of tumor *** paper summarizes the research concerning AFAP1-AS1 in malignant tumors,including the clinical application prospects of AFAP1-AS1 as a potential molecular marker and therapeutic target of malignant *** also discuss the limitations in the knowledge of AFAP1-AS1 and directions of further ***1-AS1 is expected to provide an example for studies of other lncRNA molecules.

关键词： AFAP1-AS1 metastasis proliferation anti-cancer drug PD-1 immunotherapy

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A Constructive Semi-global Differential Game Design Method for Multi-agent systems under Input Constraint and Collision Avoidance

A Constructive Semi-global Differential Game Design Method f...

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2021 China Automation Congress, CAC 2021

作者： Wu, Xiongjun Zhou, Jialing Li, Yuanlong Chen, Chunfang Li, Kai The 802 Institute of Shanghai Academy of Space Flight Technology Eighth Academy of China Aerospace Science and Technology Corporation National Defense Key Laboratory of Science and Technology on Electromagnetic Scattering Shanghai201109 China School of Automation Nanjing University Science and Technology Nanjing210094 China Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China The 802 Institute of Shanghai Academy of Space Flight Shanghai210094 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781665426473

The constructive semi-global differential game concept is introduced into the multi-agent's cooperative controller designing of typical autonomous unmanned systems subject to controller input constraint as well as the collision avoidance requirements simultaneously. The problem of driving each agent which is assume to subject to input constraint nonlinearity from the initial position to a desired one and at the same time avoiding collisions (referring to both static obstacles and other agents) is modeled and transformed into multi-agent's collision avoidance problem. In view of the requirement that different agents working together might possibly have individual but conflicting purpose (such as in the multi-missile cooperative detection requiring slowly and continuing actions vs fast formation control scenario, and multi-agents' fast arriving vs avoiding different kinds of obstacles). The differential game theory provided a mechanism or framework for investigating different kinds of problems in which several players seek to achieve individual purposes or goals, which might be competing rather than cooperation. In view of the input constraints, the problem is reduced as a semi-global differential game. Conditions are established to guarantee input constraints are satisfied, and mainly by using the Hamilton-Jacobi-Isaacs (HJI for short) PDIs and as well as Ε-Nash equilibria. The semi-global property of the states are also guaranteed. It provides a description in terms of the invariant set for the overall differential game system under constraint controller input. Illustrative examples are carried out to verify the effectiveness of the method, and also the feasibility of the suggested control protocols. © 2021 IEEE

关键词： Multi agent systems

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A Novel Unmanned Aerial Vehicle Recognition Method Based on Bayesian Coherent Point Drift with Full Polarization Information

A Novel Unmanned Aerial Vehicle Recognition Method Based on ...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Hao Wu Dahai Dai Bo Pang Penghui Ji Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects and Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (纸本)9781665409889

The utilization of polarimetric information can expand the understanding of UAVs which effectively interprets shape and structure. In this paper, based on the theory of Bayesian Formulation of Coherent Point Drift (BCPD), a novel radar target recognition algorithm has been proposed. Firstly, the canonical scattering centers are extracted based on the radar imaging results of UAVs which helps to understand the structures and scattering properties. Then we build a novel similarity measurement between the model UAV sample and the test samples which not only reflects the prominent scattering centers but also preserve the overall structure features. UAV electromagnetic data can be acquired which is measured in the anechoic chamber or simulated by electromagnetic software. Finally, we fuse three polarization channels with Bayesian criteria to improve the accuracy of recognition results. The experiment proves that the recognition rate of proposed algorithm with full polarization is better than that with single polarization channel.

关键词： Target recognition Software algorithms Scattering Radar imaging Autonomous aerial vehicles Time measurement Software

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Unmanned Aerial Vehicle Recognition Based on Clustering by Communication with Local Agents and Multiple Polarimetric Features

Unmanned Aerial Vehicle Recognition Based on Clustering by C...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Hao Wu Dahai Dai Bo Pang Zhipeng Wei Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects and Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (纸本)9781665446006

Radar Polarimetric information can effectively expand the understanding of target shape and structure, and have potential of exploring materials and local fine features of targets. In this paper, based on the theory of coherent and incoherent polarimetric decomposition, we extract features of multiple types of unmanned aerial vehicles with full polarization. Then communication with local agents (CLA) method is used to overcome shortcomings of difficulty of obtaining target training samples under real electromagnetic environment conditions. Based on the extracted polarimetric scattering mechanism, we can realize the accurate identification of UAVs without training samples. The validity of the proposed algorithm is verified based on electromagnetic data measured in anechoic chamber and calculated by the software. The experiment proves that the recognition rate of the proposed algorithm is higher than that of conventional algorithms, and it has the ability to characterize the fine structure of unmanned aerial vehicles.

关键词： Training Target recognition Software algorithms Clustering algorithms Radar Feature extraction Autonomous aerial vehicles

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High-Resolution Range Profile Recognition Method of Vehicle Targets Based on Accelerated T-SNE with Multi-polarization Fusion

High-Resolution Range Profile Recognition Method of Vehicle ...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Hao Wu Dahai Dai Penghui Ji Bo Pang Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects and Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (纸本)9781665446006

Polarization plays an important role in analyzing radar targets. Full polarization information has a better ability to inverse fine structures of the target. However, previous studies of high-resolution range profile (HRRP) mainly neglected effects of polarization. Therefore, a novel radar target recognition algorithm based on accelerated t-Distributed Stochastic Neighbor Embedding(t-SNE) and multi-polarization weighted fusion has been proposed. Firstly, three single polarization channels, odd and even-bounce mechanism HRRP, and full polarization HRRP are described. The accelerated t-SNE method based on Barnes-Hut approximation improves the dimensionality reduction speed of processing HRRPs while maintaining the initial information of each HRRP. Also, it is capable of visualizing different targets. With the weighted fusion of posterior probabilities of multiple support vector machines (SVMs), we are able to realize recognition of targets. Experimental results of vehicle targets based on electromagnetic calculations show that recognition performance of this algorithm is superior to other methods, and it shows strong robustness under the condition of large azimuth angle.

关键词： Support vector machines Dimensionality reduction Image recognition Image resolution Target recognition Fuses Radar

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Density-wave-like gap evolution in La3Ni2O7 under high pressure revealed by ultrafast optical spectroscopy

arXiv

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arXiv 2024年

作者： Meng, Yanghao Yang, Yi Sun, Hualei Zhang, Sasa Luo, Jianlin Chen, Liucheng Ma, Xiaoli Wang, Meng Hong, Fang Wang, Xinbo Yu, Xiaohui Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100190 China Key Laboratory of Education Ministry Laser and Infrared System Integration Technology Shandong University Qingdao266237 China School of Science Sun Yat-sen University Shenzhen518107 China School of Information Science and Engineering Shandong University Qingdao266237 China Songshan Lake Materials Laboratory Guangdong Dongguan523808 China Center for Neutron Science and Technology Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices School of Physics Sun Yat-Sen University Guangzhou China

Density wave (DW) order is believed to be correlated with superconductivity in the recently discovered high-temperature superconductor La3Ni2O7. However, experimental investigations of its evolution under high pressure are still lacking. Here, we explore the quasiparticle dynamics in bilayer nickelate La3Ni2O7 single crystals using ultrafast optical pump-probe spectroscopy under high pressures up to 34.2 GPa. At ambient pressure, the temperature-dependent relaxation dynamics demonstrate a phonon bottleneck effect due to the opening of an energy gap around 151 K. The energy scale of the DW-like gap is determined to be 66 meV by the Rothwarf-Taylor model. Combined with recent experiential results, we propose that this DW-like transition at ambient pressure and low temperature is spin density wave (SDW). With increasing pressure, this SDW order is significantly suppressed up to 13.3 GPa before it completely disappears around 26 GPa. Remarkably, at pressures above 29.4 GPa, we observe the emergence of another DW-like order with a transition temperature of approximately 135 K, which is probably related to the predicted charge density wave (CDW) order. Our study provides the experimental evidence of the evolution of the DW-like gap under high pressure, offering critical insights into the correlation between DW order and superconductivity in La3Ni2O7. Copyright © 2024, The Authors. All rights reserved.

关键词： High temperature superconductors

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