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A Novel Evaluation Strategy to Artificial Neural Network Model Based on Bionics

Journal of Bionic Engineering 2022年第1期19卷 224-239页

作者： Sen Tian Jin Zhang Xuanyu Shu Lingyu Chen Xin Niu You Wang School of Mathematics and Statistics Hunan Normal UniversityChangsha410081China College of Information Science and Engineering Hunan Normal UniversityChangsha410081China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhou310058China Science and Technology on Parallel and Distributed Laboratory College of ComputerNational University of Defense TechnologyChangsha410199China Key Laboratory of Industrial Control Technology Institute of Cyber Systems and ControlZhejiang UniversityHangzhou310027China

With the continuous deepening of Artificial Neural Network(ANN)research,ANN model structure and function are improving towards diversification and ***,the model is more evaluated from the pros and cons of the problem-solving results and the lack of evaluation from the biomimetic aspect of imitating neural networks is not inclusive ***,a new ANN models evaluation strategy is proposed from the perspective of bionics in response to this problem in the ***,four classical neural network models are illustrated:Back Propagation(BP)network,Deep Belief Network(DBN),LeNet5 network,and olfactory bionic model(KIII model),and the neuron transmission mode and equation,network structure,and weight updating principle of the models are analyzed *** analysis results show that the KIII model comes closer to the actual biological nervous system compared with other models,and the LeNet5 network simulates the nervous system in ***,evaluation indexes of ANN are constructed from the perspective of bionics in this paper:small-world,synchronous,and chaotic ***,the network model is quantitatively analyzed by evaluation indexes from the perspective of *** experimental results show that the DBN network,LeNet5 network,and BP network have synchronous *** the DBN network and LeNet5 network have certain chaotic characteristics,but there is still a certain distance between the three classical neural networks and actual biological neural *** KIII model has certain small-world characteristics in structure,and its network also exhibits synchronization characteristics and chaotic *** with the DBN network,LeNet5 network,and the BP network,the KIII model is closer to the real biological neural network.

关键词： Artificial neural network(ANN) Back Propagation(BP)network Deep Belief Network(DBN) LeNet5 network Olfactory bionic model(KIII model) Small world Chaos Synchronous

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Multi-color laser generation in periodically poled KTP crystal with single period

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Chinese Optics Letters 2023年第2期21卷 76-80页

作者：牛素俭周志远程静欣葛正杨琛史保森 CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China Synergetic Innovation Center of Quantum Information&Quantum Physics University of Science and Technology of ChinaHefei 230026China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin 300308China

Frequency conversion based on three-wave mixing is a critical nonlinear optic application,extending the frequency range of existing lasers and realizing frequency-transduced detectors in a wavelength range that lacks an effective *** matching is vital for effective frequency *** advantages of quasi-phase matching(QPM)over birefringent phase matching are a lack of walk-off effect,a maximum nonlinear coefficient,and phase matching in the entire transparency ***,using different types and orders of QPM,four kinds of effective frequency doubling processes are realized in a periodically poled potassium titanyl phosphate(KTP)crystal with a single period,and three kinds of frequency doubling processes are experimentally *** also show a feasible way to construct an RGB color generator based on two different QPM *** study significantly expands the feasible frequency conversion of existing lasers to different wavelengths,providing an effective method for multi-color laser generation based on periodically poled KTP crystals.

关键词： nonlinear optics frequency doubling multi-color laser quasi-phase matching

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controllable Asymmetric Attack Against Practical Round-Trip Fiber Time Synchronization System

Controllable Asymmetric Attack Against Practical Round-Trip ...

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2023 Joint Conference of the European Frequency and Time Forum and IEEE International Frequency control Symposium, EFTF/IFCS 2023

作者： Xu, Xuesong Bian, Yiming Hu, Jinlong Dou, Jiayi Li, Yang Xu, Bingjie Zhang, Yichen Yu, Song Guo, Hong Beijing University of Posts and Telecommunications Key Laboratory of Information Photonics and Optical Communications School of Electronic Engineering Beijing100876 China Institute of Southwestern Communication Science and Technology on Communication Security Laboratory Chengdu610041 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Center for Quantum Information Technology Beijing100871 China

ISBN: (纸本)9798350311426

Using optical fiber links to transmit time information is widely regarded as an accurate and secure time synchronization scheme. However, the accuracy of the round-trip time synchronization system can be manipulated arbitrarily by attack schemes. In this paper, a controllable asymmetric attack scheme against round-trip time synchronization system is proposed and experimentally demonstrated. By adjusting the asymmetry of the link, the time synchronization accuracy can be controlled down from 23 ps to 0.91 ns, 2.13 ns and 5.20 ns. Our work reveals system vulnerability caused by asymmetry, and points out that current systems can be attacked unwittingly by adversaries. © 2023 IEEE.

关键词： controllable asymmetric channel attack round-trip time synchronization

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Distributed online bandit tracking for Nash equilibrium under partial-decision information setting

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science China(Technological sciences) 2023年第11期66卷 3129-3138页

作者： FENG ZhangCheng XU WenYing CAO JinDe YANG ShaoFu RUTKOWSKI Leszek Jiangsu Provincial Key Laboratory of Networked Collective Intelligence School of MathematicsSoutheast UniversityNanjing 211189China Frontiers Science Center for Mobile Information Communication and Security Nanjing 210096China School of Computer Science and Engineering Southeast UniversityNanjing 211189China The Systems Research Institute of the Polish Academy of Sciences Warsaw 01-447Poland AGH University of Science and Technology Krakow 30-059Poland

This paper is concerned with a Nash equilibrium(NE)tracking issue in online games with bandit feedback,where cost functions vary with time and agents only have access to the values of these functions at two points during each round.A partial-decision information setting is considered,in which agents have only access to the decisions of their *** primary objective of this paper is to develop a distributed online NE tracking algorithm that ensures sublinear growth of regret with respect to the total round T,under both the bandit feedback and partial-decision information *** utilizing a two-point estimator together with the leader-following consensus method,a new distributed online NE tracking algorithm is established with the estimated gradient and local estimated decisions based on the projection gradient-descent ***,sufficient conditions are derived to guarantee an improved upper bound of dynamic regret compared to existing bandit ***,a simulation example is presented to demonstrate the effectiveness of the proposed algorithm.

关键词： online game bandit feedback partial-decision two-point gradient estimator

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Joint Localization and Environment Sensing by Harnessing NLOS Components in RIS-Aided mmWave communication Systems

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IEEE Transactions on Wireless communications 2023年第12期22卷 8797-8813页

作者： Huang, Yixuan Yang, Jie Tang, Wankai Wen, Chao-Kai Xia, Shuqiang Jin, Shi Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Southeast University School of Automation The Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Southeast University National Mobile Communications Research Laboratory The Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan Zte Corporation and the State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518055 China

This study explores the use of non-line-of-sight (NLOS) components in millimeter-wave (mmWave) communication systems for joint localization and environment sensing. The radar cross section (RCS) of a reconfigurable intelligent surface (RIS) is calculated to develop a general path gain model for RISs and traditional scatterers. The results show that RISs have a greater potential to assist in localization due to their ability to maintain high RCSs and create strong NLOS links. A one-stage linear weighted least squares estimator is proposed to simultaneously determine user equipment (UE) locations, velocities, and scatterer (or RIS) locations using line-of-sight (LOS) and NLOS paths. The estimator supports environment sensing and UE localization even using only NLOS paths. A second-stage estimator is also introduced to improve environment sensing accuracy by considering the nonlinear relationship between UE and scatterer locations. Simulation results demonstrate the effectiveness of the proposed estimators in rich scattering environments and the benefits of using NLOS paths for improving UE location accuracy and assisting in environment sensing. The effects of RIS number, size, and deployment on localization performance are also analyzed. © 2002-2012 IEEE.

关键词： Radar cross section

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A new multiple targets tracking algorithm based on improved MHT algorithm

A new multiple targets tracking algorithm based on improved ...

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2022 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2022

作者： Sun, Wei Han, Yu Science and Technology on Commuication Information Security Control Laboratory No.36 Research Institute of CETC Jiaxing314033 China

ISBN: (数字)9781665468039

ISBN: (纸本)9781665468039

In this paper, a bearing pretreatment method suitable for passive sonar tracking is proposed, when the ocean background noise fluctuation is large, the weak target can also be detected and tracked through the adaptive adjustment of the threshold. The principle and characteristics of the conventional multi-hypothesis tracking algorithm is explored in this paper, we propose a bearing information pre-processing method suitable for passive sonar tracing and an improved MHT method based on Kalman prediction framework. Finally, automatic tracking problem with multi-Targets based on bearing crossing and ocean background fluctuations can be achieved. The simulation data proves that this method is reliable and practical. © 2022 IEEE.

关键词： Target tracking

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Electro-optically Q-switching performance of diode-pumped HoGdVO4 laser

Electro-optically Q-switching performance of diode-pumped Ho...

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2022 Conference on Infrared, Millimeter, Terahertz Waves and Applications, IMT 2022

作者： Wu, Jiaze Duan, Xiaoming Ding, Yu Ju, Youlun School of Astronautics Harbin Institute of Technology Harbin150001 China National Key Laboratory of Tunable Laser Technology Harbin Institute of Technology Harbin150001 China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China

ISBN: (纸本)9781510662476

We proposed a Ho:GdVO4 laser operating at 2.05 µm which was directly in-band dual-end-pumped by a pair of 1.94 μm fiber-coupled laser diodes (LD). A Ho:GdVO4 crystal with doping of 1.0 at.% was used as the gain medium. In continuous-wave (CW) mode, we obtained the maximum output power of 6.5 W at 2047.9 nm with the absorbed pump power of 28 W, corresponding to a slope efficiency of 37.6 %. By using an LGS crystal as the electro-optical Q-switch, the highest peak power of 773.8 kW was obtained at a pulse repetition frequency (PRF) of 1 kHz, corresponding to a maximum pulse energy of 3.25 mJ and a pulse width of 4.2ns. © 2023 SPIE.

关键词： Q switching

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Scalable parallel ultrafast optical random bit generation based on a single chaotic microcomb

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Light(science & Applications) 2024年第4期13卷 637-644页

作者： Pu Li Qizhi Li Wenye Tang Weiqiang Wang Wenfu Zhang Brent ELittle Sai Tek Chu KAlan Shore Yuwen Qin Yuncai Wang Institute of Advanced Photonics Technology School of Information EngineeringGuangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Photonic Technology for Integrated Sensing and Communication Ministry of Education of ChinaGuangdong University of TechnologyGuangzhou 51006China. Guangdong Provincial Key Laboratory of Information Photonics Technology Guangdong University of TechnologyGuangzhou 51006China. Key Laboratory of Advanced Transducers andIntelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China. State Key Laboratory of Transient Optics and Photonics Xi’an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi’an 710119China. Department of Physics and Materials Science City University of Hong KongHong KongChina. School of Electronic Engineering Bangor UniversityBangorWales LL571UTUK

Random bit generators are critical for information security,cryptography,stochastic modeling,and *** and scalability are key challenges faced by current physical random bit ***,we propose a massively parallel scheme for ultrafast random bit generation towards rates of order 100 terabit per second based on a single micro-ring resonator.A modulation-instability-driven chaotic comb in a micro-ring resonator enables the simultaneous generation of hundreds of independent and unbiased random bit streams.A proof-of-concept experiment demonstrates that using our method,random bit streams beyond 2 terabit per second can be successfully generated with only 7 comb *** bit rate can be easily enhanced by further increasing the number of comb lines *** approach provides a chip-scale solution to random bit generation for secure communication and high-performance computation,and offers superhigh speed and large scalability.

关键词： resonator random chaotic

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Intention recognition based on Hidden Markov Model for aerial target 13

Intention recognition based on Hidden Markov Model for aeria...

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13th International Conference on Signal Processing Systems, ICSPS 2021

作者： Chai, Huimin Zhang, Yong Song, Yanan School of Computer Science and Technology Xidian University Xi'an China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China

ISBN: (数字)9781510653184

ISBN: (纸本)9781510653177

The method of intention recognition based on HMM for aerial target is provided in the paper. The three HMMs are constructed in order to recognize the attack intention, evasion intention and escape intention respectively. The "left-right"structure is chosen to establish the HMMs. The target sensor data: target speed-approach angle and distance from enemy target to our side, is utilized as the observation sequence of the HMMs. Here, the discretization results of target sensor data are the input to the HMMs. The accuracy of target intention recognition is over 80.0% in simulation experiments, which show that the method is available and effective. © COPYRIGHT SPIE.

关键词： Hidden Markov models

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NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors 39

NumbOD: A Spatial-Frequency Fusion Attack Against Object Det...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Zhou, Ziqi Li, Bowen Song, Yufei Yu, Zhifei Hu, Shengshan Wan, Wei Zhang, Leo Yu Yao, Dezhong Jin, Hai National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Cluster and Grid Computing Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Computer Science and Technology Huazhong University of Science and Technology China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia

ISBN: (纸本)157735897X

With the advancement of deep learning, object detectors (ODs) with various architectures have achieved significant success in complex scenarios like autonomous driving. Previous adversarial attacks against ODs have been focused on designing customized attacks targeting their specific structures (e.g., NMS and RPN), yielding some results but simultaneously constraining their scalability. Moreover, most efforts against ODs stem from image-level attacks originally designed for classification tasks, resulting in redundant computations and disturbances in object-irrelevant areas (e.g., background). Consequently, how to design a model-agnostic efficient attack to comprehensively evaluate the vulnerabilities of ODs remains challenging and unresolved. In this paper, we propose NumbOD, a brand-new spatial-frequency fusion attack against various ODs, aimed at disrupting object detection within images. We directly leverage the features output by the OD without relying on its internal structures to craft adversarial examples. Specifically, we first design a dual-track attack target selection strategy to select high-quality bounding boxes from OD outputs for targeting. Subsequently, we employ directional perturbations to shift and compress predicted boxes and change classification results to deceive ODs. Additionally, we focus on manipulating the high-frequency components of images to confuse ODs’ attention on critical objects, thereby enhancing the attack efficiency. Our extensive experiments on nine ODs and two datasets show that NumbOD achieves powerful attack performance and high stealthiness. © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep learning

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