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Single-end hybrid Rayleigh Brillouin and Raman distributed fibre-optic sensing system

Light(Advanced Manufacturing) 2023年第3期4卷 171-180页

作者： Linjing Huang Xinyu Fan Haijun He Lianshan Yan Zuyuan He State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic EngineeringShanghai Jiao Tong University800 Dongchuan RoadShanghai 200240China Center for Information Photonics&Communications School of Information Science and TechnologySouthwest Jiaotong UniversityChengduSichuan 611756China Peng Cheng Laboratory ShenzhenGuangdong 518055China

Backscattered lightwaves from an optical fibre are used to realise distributed fibre optic sensing(DFOS)systems for measuring various ***,Brillouin,and Raman backscattering provide different sensitivities to different measurands and have garnered the attention of researchers.A system combining the three principles above can effectively separate the measured strain and temperature completely as well as provide measurements of both dynamic and static ***,the combined system is extremely complicated if the three systems are independent of each ***,we propose a single-end hybrid DFOS system that uses two successive pulses to realise the Brillouin amplification of Rayleigh backscattering lightwaves for combining Rayleigh and Brillouin systems.A 3-bit pulse-coding method is employed to demodulate the Raman scattering of the two pulses to integrate Raman optical time-domain reflectometry into the hybrid *** this hybrid scheme,a simultaneous measurement of multiple parameters is realised,and a favourable measurement accuracy is achieved.

关键词： Rayleigh backscattering Brillouin backscattering Raman backscattering Distributed fiber-optic sensing system

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BMRMIA:A Platform for Radiologists to systematically Learn Automated Medical Image Analysis by Three Dimensional Medical Decision Support system

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Computer Modeling in engineering & sciences 2022年第5期131卷 851-863页

作者： Yankun Cao Lina Xu Zhi Liu Xiaoyan Xiao Mingyu Wang Qin Li Hongji Xu Geng Yang School of Software Shandong UniversityJinan250101China School of Information Science and Engineering Shandong UniversityQingdao266237China School of Computer Science and Technology Shandong Jianzhu UniversityJinan250012China Department of Nephrology Qilu Hospital of Shandong UniversityJinan250012China State Key Laboratory of ASIC&Systems The School of MicroelectronicsFudan UniversityShanghai200433China Shenzhen Institute of Information Technology Shenzhen518172China

Contribution:This paper designs a learning and training platform that can systematically help radiologists learn automated medical image analysis *** platform can help radiologists master deep learning theories and medical applications such as the three-dimensional medical decision support system,and strengthen the teaching practice of deep learning related courses in hospitals,so as to help doctors better understand deep learning knowledge and improve the efficiency of auxiliary ***:In recent years,deep learning has been widely used in academia,industry,*** increasing number of companies are starting to recruit a large number of professionals in the field of deep *** numbers of colleges and universities also offer courses related to deep learning to help radiologists learn automated medical image analysis *** now,however,there is no practical training platform that can help radiologists learn automated medical image analysis ***:The platform proposes the basic learning,model combat,business application(BMR)concept,including the learning guidance system and the assessment training system,which constitutes a closed-loop learning guidance mode of“learning-assessment-training-learning”.Findings:The survey results show that most of radiologists met their learning expectations by using this *** platform can help radiologists master deep learning techniques quickly,comprehensively and firmly.

关键词： BMR deep learning three dimensional medical decision support system deep learning engineer standard

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Critical band-to-band-tunnelling based optoelectronic memory

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Light(science & Applications) 2025年第3期14卷 757-766页

作者： Hangyu xu Runzhang Xie Jinshui Miao Zhenhan Zhang Haonan Ge Xumina Shi Min Luo Jinjin Wang Tangxin Li Xiao Fu Johnny CHo Peng Zhou Fang Wang Weida Hu State Key Laboratory of Infrared Physics Shanghai Institute of Technical PhysicsChinese Academy of Sciences500 Yu Tian Road200083ShanghaiChina University of Chinese Academy of Sciences BeijingChina ASIC&System State Key Laboratory School of MicroelectronicsFudan UniversityShanghaiChina Shanghai Research Institute for Intelligent Autonomous Systems Tongji University200092ShanghaiChina Department of Materials Science and Engineering and State Key Laboratory of Terahertz and Millimeter Waves City University of Hong KongKowloon TongHong Kong SARChina

Neuromorphic vision hardware,embedded with multiple functions,has recently emerged as a potent platform for machine *** realize memory in sensor functions,reconfigurable and non-volatile manipulation of photocarriers is highly ***,previous technologies bear mechanism challenges,such as the ambiguous optoelectronic memory mechanism and high potential barrier,resulting in a limited response speed and a high operating ***,for the first time,we propose a critical band-to-band tunnelling(BTBT)based device that combines sensing,integration and memory *** nearly infinitesimal barrier facilitates the tunnelling process,resulting in a broadband application range(94o nm).Furthermore,the observation of dual negative differential resistance(NDR)points confirms that the critical BTBT of photocarriers contributes to the sub-microsecond photomemory *** the photomemory speed,with no motion blur,is important for motion detection,the critical BTBT memory is expected to enable moving target tracking and recognition,underscoring its superiority in intelligentperception.

关键词： photocarrier manipulation optoelectronic memory mechanism machine visionto photomemory speed optoelectronic memory critical band band tunnelling neuromorphic vision hardware negative differential resistance

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A Robust Global Routing Engine with High-accuracy Cell Movement under Advanced Constraints

A Robust Global Routing Engine with High-accuracy Cell Movem...

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IEEE International Conference on Computer-Aided Design

作者： Ziran Zhu Fuheng Shen Yangjie Mei Zhipeng Huang Jianli Chen Jun Yang National ASIC System Engineering Center Southeast University Nanjing China Department of Mathematics and Theories Peng Cheng Laboratory Shenzhen China State Key Lab of ASIC & System Fudan University Shanghai China

Placement and routing are typically defined as two separate problems to reduce the design complexity. However, such a divide-and-conquer approach inevitably incurs the degradation of solution quality due to the correlation/objectives of placement and routing are not entirely consistent. Besides, with various constraints (e.g., timing, R/C characteristic, voltage area, etc.) imposed by advanced circuit designs, bridging the gap between placement and routing while satisfying the advanced constraints has become more challenging. In this paper, we develop a robust global routing engine with high-accuracy cell movement under advanced constraints to narrow the gap and improve the routing solution. We first present a routing refinement technique to obtain the convergent routing result based on fixed placement, which provides more accurate information for subsequent cell movement. To achieve fast and high-accuracy position prediction for cell movement, we construct a lookup table (LUT) considering complex constraints/objectives (e.g., routing direction and layer-based power consumption), and generate a timing-driven gain map for each cell based on the LUT. Finally, based on the prediction, we propose an alternating cell movement and cluster movement scheme followed by partial rip-up and reroute to optimize the routing solution. Experimental results on the ICCAD 2020 contest benchmarks show that our algorithm achieves the best total scores among all published works. Compared with the champion of the ICCAD 2021 contest, experimental results on the ICCAD 2021 contest benchmarks show that our algorithm achieves better solution quality in shorter runtime.

关键词： Power demand Runtime Design automation Voltage Benchmark testing Routing Prediction algorithms

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Towards improving detection performance for malware with a correntropy-based deep learning method

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Digital communications and Networks 2021年第4期7卷 570-579页

作者： Xiong Luo Jianyuan Li Weiping Wang Yang Gao Wenbing Zhao School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing100083China Beijing Intelligent Logistics System Collaborative Innovation Center Beijing101149China China Information Technology Security Evaluation Center Beijing100085China Department of Electrical Engineering and Computer Science Cleveland State UniversityClevelandOH44115USA

With the rapid development of Internet of Things(IoT)technologies,the detection and analysis of malware have become a matter of concern in the industrial application of Cyber-Physical system(CPS)that provides various services using the IoT ***,many advanced machine learning methods such as deep learning are popular in the research of malware detection and analysis,and some achievements have been made so ***,there are also some *** example,considering the noise and outliers in the existing datasets of malware,some methods are not robust ***,the accuracy of malware classification still needs to be *** at this issue,we propose a novel method that combines the correntropy and the deep learning *** our proposed method for malware detection and analysis,given the success of the mixture correntropy as an effective similarity measure in addressing complex datasets with noise,it is therefore incorporated into a popular deep learning model,i.e.,Convolutional Neural Network(CNN),to reconstruct its loss function,with the purpose of further detecting the features of *** present the detailed design process of our ***,the proposed method is tested both on a real-world malware dataset and a popular benchmark dataset to verify its learning performance.

关键词： Malware detection Mixture correntropy Deep learning Convolutional neural network(CNN)

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Numerical Simulation of the Radiation Force from Transient Acoustic Fields: Application to Laser-Guided Acoustic Tweezers

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Physical Review Applied 2023年第5期19卷 054057-054057页

作者： Shuhan Chen Qing Wang Qi Wang Jia Zhou Antoine Riaud State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai 200433 China Department of Biomedical Engineering Lund University Ole Römers väg 3 Lund 22363 Sweden ABB Corporate Research Center Baden-Dättwil Switzerland

Using pulsed acoustic waves could provide a superior selectivity for microscale acoustic tweezers. However, the theory for the radiation force of pulsed acoustic waves has only been recently derived and no numerical implementations are available. In this paper, we present a finite-element implementation of this model to simulate the transient acoustic radiation force on small spheres. We use the model to simulate laser-guided acoustic tweezers and optimize their performance. By enabling numerical simulations of the transient radiation force, this work may accelerate the rational design of pulse-based high-selectivity acoustic tweezer devices.

关键词： Acoustic wave phenomena Nonlinear acoustics Ultrasonics Microfluidic devices Acoustic techniques Finite-element method Optical tweezers

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An overview of ML-based applications for next generation optical networks

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science China(Information sciences) 2020年第6期63卷 31-46页

作者： Ruoxuan GAO Lei LIU Xiaomin LIU Huazhi LUN Lilin YI Weisheng HU Qunbi ZHUGE Shanghai Institute for Advanced Communication and Data Science State Key Laboratory of Advanced Optical Communication Systems and NetworksDepartment of Electronic Engineering Shanghai Jiao Tong University

Over the past few decades, the demand for the capacity and reliability of optical networks has continued to grow. In the meantime, optical networks with larger knowledge scales have become sources of numerous heterogeneous data. In order to handle these new challenges, many issues need to be resolved,among which the low-margin optical networks design, power optimization, routing and wavelength assignment(RWA), failure management are quite important. However, the use of traditional algorithms in the above four applications shows some shortcomings. Fortunately, artificial intelligence(AI), especially machine learning(ML), is regarded as one of the most promising methods to overcome these shortcomings. In this study, we review the applications of ML methods in solving these four issues. Although many ML-based researches have emerged, the applications of ML techniques in optical networks still face challenges. Therefore, we also discuss some possible future directions of investigating ML-based approaches in optical networks.

关键词： optical networks artificial intelligence machine learning system margin power optimization routing and wavelength assignment failure management

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On-chip optical vector analysis based on thin-film lithium niobate single-sideband modulators

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Advanced Photonics 2024年第6期6卷 99-110页

作者： Hanke Feng Tong Ge Yaowen Hu Zhenzheng Wang Yiwen Zhang Zhaoxi Chen Ke Zhang Wenzhao Sun Cheng Wang City University of Hong Kong Department of Electrical Engineering and State Key Laboratory of Terahertz and Millimeter WavesKowloonHong KongChina Peking University State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-OptoelectronicsSchool of PhysicsBeijingChina Harvard University John A.Paulson School of Engineering and Applied SciencesCambridgeMassachusettsUnited States City University of Hong Kong(Dongguan) DongguanChina City University of Hong Kong Shenzhen Research Institute Center of Information and Communication TechnologyShenzhenChina

Optical vector analysis(OVA)is an enabling technology for comprehensively characterizing both amplitude and phase responses of optical devices or *** OVA technologies are mostly based on discrete optoelectronic components,leading to unsatisfactory system sizes,complexity,and *** also encounter challenges in revealing the on-chip characteristics of integrated photonic devices,which are often overwhelmed by the substantial coupling loss and extra spectral response at chip *** this work,we demonstrate a miniaturized OVA system based on broadband single-sideband(SSB)modulators on a thin-film lithium niobate(LN)*** OVA could provide a direct probe of both amplitude and phase responses of photonic devices with kilohertz-level resolution and tens of terahertz of measurement *** perform in situ characterizations of single and coupled microring resonators fabricated on the same chip as the OVA,unfolding their intrinsic loss and coupling states ***,we achieve the direct measurement of collective phase dynamics and density of states of the Bloch modes in a synthetic frequency crystal by in situ OVA of a dynamically modulated microring *** OVA system provides a compact,high-precision,and broadband solution for characterizing future integrated photonic devices and circuits,with potential applications ranging from optical communications,biosensing,and neuromorphic computing,to quantum information processing.

关键词： optical vector analysis thin film lithium niobate integrated microwave photonics

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Phase Retrieval by Tensor Total Least Squares

Phase Retrieval by Tensor Total Least Squares

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jiani Liu Ce Zhu Yang Chen Xiaolin Huang Yipeng Liu School of Information and Communication Engineering University of Electronic Science and Technology of China (UESTC) Chengdu China Department of Automation The MOE Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai China

Phase retrieval seeks to reconstruct a series of image sequences from measurements that only capture their magnitudes. Current approaches either flatten and stack the image sequences, disregarding their multidimensional structural information, or fail to account for errors within the sensing vectors/tensors. To address these two issues simultaneously, we propose a unified framework for the phase retrieval problem, namely tensor total least squares (TTLS). Specifically, we set up a tensor representation for image sequences and the corresponding measurement model, and for the first time employ the advanced tensor ring network to effectively explore the inherent multidimensional structure for more accurate estimation. Moreover, in addition to the additive noise, the multiplicative errors within the sensing tensor can be also well-corrected, leading to a more robust estimation. Experimental results on both simulated data and real videos demonstrate the superiority of the proposed method.

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Actively Q-switched 452 nm blue laser based on intracavity frequency-doubled Nd: LiYF4 oscillator 15

Actively Q-switched 452 nm blue laser based on intracavity f...

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15th International Conference on Information Optics and Photonics, CIOP 2024

作者： Luo, Qihui Zhang, Yinuo Ma, Jian Lu, Tingting Zhang, Junxuan Zhu, Xiaolei Key Laboratory of Space Laser Communication and Detection Technology Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China Aerospace Laser Technology and System Department Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Wangzhijiang Innovation Center for Laser Aerospace Laser Technology and System Department Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China

ISBN: (数字)9781510686175

ISBN: (纸本)9781510686168

An actively Q-switched 452 nm blue pulse laser based on intracavity frequency-doubled quasi-three-level Nd:LiYF4 crystal was presented. The fundamental wave resonator of the laser adopted L-shape design, pumped by 806 nm fiber-coupled laser diode, and realized pulse output by Q-switching operation at a repetition frequency of 100 Hz, in which an a-cut Nd:LiYF4 used as the gain medium. The maximum output laser average power of 7.18 mW at 452 nm was achieved by inserting a LiB3O5 crystal into the cavity for frequency doubling, and the pulse duration of the blue pulse laser was 84 ns. This compact blue pulse laser has a great prospect in the application of ocean laser detection and information transmission. © 2024 SPIE.

关键词： Q switched lasers

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