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Spectral period doubling and encoding of dissipative optical solitons via gain control

PhotoniX 2024年第1期5卷 290-305页

作者： Kangwen Yang Yi Zhou Yuqing Ling Kevin K.Tsia Heping Zeng Kenneth K.Y.Wong Shanghai Key Laboratory of Modern Optical System and Engineering Research Center of Optical Instrument and SystemMinistry of EducationSchool of Optical Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Department of Electrical and Electronic Engineering The University of Hong KongHong KongChina Advanced Biomedical Instrumentation Centre Hong Kong Science ParkHong KongChina State Key Laboratory of Precision Spectroscopy East China Normal UniversityShanghai 200062China

Period-doubling bifurcation,as an intermediate state between order and chaos,is ubiquitous in all disciplines of nonlinear ***,previous experimental observations of period doubling in ultrafast fiber lasers are mainly restricted to self-sustained steady state,controllable manipulation and dynamic switching between period doubling and other intriguing dynamical states are still largely ***,we propose to expand the vision of dissipative soliton periodic doubling,which we illustrate experimentally by reporting original spontaneous,collisional,and controllable spectral period doubling in a polarization-maintaining ultrafast fiber ***,the spontaneous period doubling can be observed in both single-and *** mechanism of the switchable state and periodic doubling was revealed by numerical ***,state transformation of individual solitons can be resolved during the collision of triple solitons involving stationary,oscillating,and period ***,controllable deterministic switching between period doubling and other dynamical states,as well as exemplifying the application of period-doubling-based digital encoding,is achieved under programmable pump *** results open a new window for unveiling complex Hopf bifurcation in dissipative systems and bring useful insights into nonlinear science and applications.

关键词： Period doubling Mode locking Ultrafast fiber lasers

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Video Arbitrary Style Transfer via Style Attention and Contrastive Learning 5

Video Arbitrary Style Transfer via Style Attention and Contr...

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5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

作者： Qian, Yangyang Qin, Wei Pei, Songwen Tan, Junhao School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China

ISBN: (纸本)9798350394160

With the development of Generative AI technologies, video style transfer has become a popular extra challenge of style transfer. Compared to traditional images style transfer tasks, video tasks bring new challenges in maintaining temporal consistency and desirable stylized results. To solve the problem, we proposed a two-stage network combining Style Attention and Contrast learning(SACNet). Specifically, in the first stage, we proposed an adaptive filter incorporating attention mechanism to deal with texture artifacts and edge artifacts. The filter adjusts the features both inner channels and inter channels. In the second stage, we proposed a Temporal-consistency Contrastive Loss Module(TCLM) to solve the problems of stability and flicker artifacts for stylized videos. The TCLM is defined by single-frame local patches with looser constraints. In addition, color loss function was introduced to adjust the stylized color saturation. In contrast to the current SOTA models for video style transfer, SACNet achieved an average LPIPS by 0.152 and a temporal-consistency loss by 0.034 on the MPI-Sintel dataset, it respectively achieved reductions by 5% and 20% on average. It was verified that SACNet could perform well in various style transfer tasks for images and videos. ©2023 IEEE.

关键词： Adaptive filters

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Knowledge Enhancement and Feature Purification for Single-stage Joint Entity and Relation Extraction 29

Knowledge Enhancement and Feature Purification for Single-st...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Zhai, Guohao Pei, Songwen University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai China

ISBN: (纸本)9798350330717

Joint entity and relation extraction aim to achieve named entity recognition and relation extraction in unstructured text. We use the form of triples (subject, relation, object) to describe entity and relation. Joint entity and relation extraction play an important role in knowledge graph construction, question and answering, data analysis, and other natural language processing domains. Most of the existing works suffered from insufficient interaction between entity features and relation features due to the extraction order. Moreover, there is a prevalence of heterogeneous representations of entities and relations. They not only increase the amount of model design and the complexity of training, but also lead to the problem of exposure bias due to the extraction order. Therefore, in this paper, we propose KFRel, where we enhance the entity and relation representations by encoding text and relation. Then, the features are fused to enhance the entity and relation representations, and adopt a feature purification module, where the features are enhanced by a feature purification module that removes feature information irrelevant to the joint entity and relation extraction while retaining feature information of relevance. In addition, we adopt a single-stage joint entity and relation extraction module to address the issue of overlapping triples. This module aims to help improve the effectiveness of joint entity and relation extraction. Comprehensive experiments are conducted on two widely-used datasets, and the experimental results demonstrate that the proposed method is effective and outperforms the state-of-the-art baselines. © 2023 IEEE.

关键词： Feature Purification Joint Entity and Relation Extraction Knowledge Enhancement

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Rolling velocity and relative motion of particle detector in local granular flow

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Chinese Physics B 2022年第11期31卷 388-394页

作者： Ran Li Bao-Lin Liu Gang Zheng Hui Yang School of Health Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China

The velocity of a particle detector in granular flow can be regarded as the combination of rolling and sliding *** study of the contribution of rolling velocity and sliding velocity provides a new explanation to the relative motion between the detector and the local granular *** this study,a spherical detector using embedded inertial navigation technology is placed in the chute granular flow to study the movement of the detector relative to the granular *** is shown by particle image velocimetry(PIV)that the velocity of chute granular flow conforms to Silbert’s *** the velocity of the detector is greater than that of the granular flow around *** decomposing the velocity into sliding and rolling velocity,it is indicated that the movement of the detector relative to the granular flow is mainly caused by *** rolling detail shown by DEM simulation leads to two potential mechanisms based on the position and drive of the detector.

关键词： local velocity distribution rolling velocity inertial navigation technology relative velocity dependent(RVD)rolling friction

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Ultra-Dense LEO Satellite-Aircraft Access and Service Management in Civil Aviation

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China Communications 2025年第1期22卷 277-292页

作者： Wang Yilei Ma Ting Liu Xiaoyu Gao Zhuxuan Zhou Haibo Shen Xuemin School of Electronic Science and Engineering Nanjing UniversityNanjing 210046China School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing 210094China The Department of Electrical and Computer Engineering University of WaterlooWaterloo N2L 3G1Canada

With the deployment of ultra-dense low earth orbit(LEO)satellite constellations,LEO satellite access network(LEO-SAN)is envisioned to achieve global Internet ***,the civil aviation communications have increased dramatically,especially for providing airborne Internet ***,due to dynamic service demands and onboard LEO resources over time and space,it poses huge challenges in satellite-aircraft access and service management in ultra-dense LEO satellite networks(UDLSN).In this paper,we propose a deep reinforcement learning-based approach for ultra-dense LEO satellite-aircraft access and service ***,we develop an airborne Internet architecture based on UDLSN and design a management mechanism including medium earth orbit satellites to guarantee lightweight ***,considering latency-sensitive and latency-tolerant services,we formulate the problem of satellite-aircraft access and service management for civil aviation to ensure service ***,we propose a proximal policy optimization-based access and service management algorithm to solve the formulated *** results demonstrate the convergence and effectiveness of the proposed algorithm with satisfying the service continuity when applying to the UDLSN.

关键词： civil aviation deep reinforcement learning satellite-aircraft access service management ultra-dense LEO satellite network

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Multi-Fault Diagnosis, Quantitative Analysis, and Warning Strategy for Lithium-Ion Battery System: When LSTM Meets the Fuzzy Logic Theory

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 8224-8235页

作者： Chen, Hui Tian, Engang Wang, Licheng Zheng, Yuejiu University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China Shanghai University of Electric Power College of Automation Engineering Shanghai200090 China University of Shanghai for Science and Technology College of Mechanical Engineering Shanghai200093 China

This article is concerned with the multilevel secure warning problem for lithium-ion battery systems (LBSs) subject to multi-fault scenarios. First, the long short-term memory (LSTM) network is employed to design a series of cell voltage estimators. In comparison with the estimation of the cell voltage and its measurement, the estimation residual is constructed in terms of the Euclidean distance (ED), which plays an essential index for the multi-fault detection issue. Furthermore, in combination with the voltage envelope relationship, a specific type of fault is subsequently identified. Then, for the subsequent fault warning purpose, a novel fault quantitative analysis method is proposed to further determine not only the fault amplitude but also its duration. In addition, on the basis of specific characteristics of the fault such as the type, count, duration, and amplitude, a fuzzy-logic-based multilevel secure warning strategy is put forward. Finally, the effectiveness of the developed multilevel fault warning approach is substantiated through comprehensive experimental validation. © 2015 IEEE.

关键词： Fuzzy logic

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Human Tissue Cell Image Segmentation optimization Algorithm Based on Improved U-net Network 6

Human Tissue Cell Image Segmentation optimization Algorithm ...

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6th International Conference on Information and computer Technologies, ICICT 2023

作者： Ying, Jie Jing, Xin Qin, Chenyang Huang, Wei University of Shanghai for Science and Technology School of Optical Electrical and Computer Engineering Shanghai200093 China

ISBN: (纸本)9798350300956

In medical testing and diagnosis, cells as the basic structure of human body, have received extensive attention in pathological research. The detection and segmentation of cells or nuclei play an important role in describing molecular morphological information. The accuracy of human tissue cells segmentation still needs to be improved, and the network segmentation results have boundary blurring and noise pixels interference. In this paper, an improved U-net network model is proposed. Aiming at the problem of simple stacking of the same convolution operation, a parallel structure for multi-scale image feature extraction is designed. Through the setting of multiple convolution operations and combining different feature fusion methods, a better convolution block structure is obtained. The network segmentation image is optimized through the secondary segmentation of Otsu method and morphological processing, and the final segmentation result is obtained. Finally, the cell contour and centroid are displayed on the original image, and the nuclear center was calculated by image moment. The experiments were carried out on the human organ H&E cell data set. The experimental results show that the Dice coefficient, Jaccard similarity coefficient, recall and accuracy of the improved U-net network model for H&E cell image segmentation reach 0.8260, 0.60, 0.8380 and 0.8270 respectively. Compared with U-net network, the above parameters of the improved U-net model are increased by 1.7%, 3.9%, 1.2% and 2.2% respectively. Compared with CNN network, the accuracy rate is improved by 3.5%, and cell segmentation is more accurate than other literatures. © 2023 IEEE.

关键词： Convolution

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The hydrogen peroxide sensors based on localized surface plasmon resonance in Ag-PVA nanocomposite 3

The hydrogen peroxide sensors based on localized surface pla...

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3rd International Conference on Laser, Optics, and Optoelectronic Technology, LOPET 2023

作者： Yang, Zihan Liu, Zhiyue Hu, Haifeng School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9781510667624

In this work, a chemical sensor for concentration measurement of hydrogen peroxide is proposed based on localized surface plasmon resonance (LSPR). The silver nanoparticles coated by polyvinyl alcohol (PVA) have been prepared by the reduction process of silver nitrate (AgNO3) in aqueous PVA matrix. The LSPR wavelength of the Ag-PVA nanocomposites is 420nm, as measured by ultraviolet -visible spectrometer. When hydrogen peroxide is added into the solution of Ag-PVA nanocomposites, the silver nanoparticles become degradation during the decomposition of hydrogen peroxide. In this process, the light absorption caused by LSPR effect is reduced obviously. Based on this mechanism, the concentration of hydrogen peroxide can be determined by measuring the change of transmission power through the Ag-PVA nanocomposites. In our experiments, the threshold detection level of the sensor is less than 10-3M. Besides the chemical sensing applications, the proposed system can be also used to analyze the generation process of silver nanostructures under UV light illumination. © 2023 SPIE.

关键词： Hydrogen peroxide

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optical chirality signal enhancement of spherical particles based on polarization vortex beams 3

Optical chirality signal enhancement of spherical particles ...

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3rd International Conference on Laser, Optics, and Optoelectronic Technology, LOPET 2023

作者： Zeng, Jianzhi Chen, Siyu Zhao, Jie Wei, Zhenjie Wang, Mouxin Liu, Zhiyue Hu, Haifeng School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9781510667624

In order to analyze the mechanism of optical chirality signal enhancement of chiral spherical particles, the scattering properties of chiral particles were studied based on the T-matrix method, and the optical chirality signal is calculated under different types of polarization vortex beams with orbital angular momentum (OAM). Firstly, for particles with fixed sizes, the enhancement effects of tightly focused light field of radial and azimuthally polarized polarization beams were explored. In addition, for particles with varying sizes, the enhancement of the optical chirality signal of particles was achieved by controlling the order of OAM carried by the beam. © 2023 SPIE.

关键词： Polarization

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Fluorescence Nanoscopy in Neuroscience

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engineering 2022年第9期16卷 29-38页

作者： Yangyundou Wang Jian Lin Qiming Zhang Xi Chen Haitao Luan Min Gu Center for Artificial-Intelligence Nanophotonics School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China

Fluorescence nanoscopy provides imaging techniques that overcome the diffraction-limited resolution barrier in light microscopy,thereby opening up a new area of research in biomedical imaging in fields such as ***,we review the foremost fluorescence nanoscopy techniques,including descriptions of their applications in elucidating protein architectures and mobility,the real-time determination of synaptic parameters involved in neural processes,three-dimensional imaging,and the tracking of nanoscale neural *** conclude by discussing the prospects of fluorescence nanoscopy,with a particular focus on its deployment in combination with related techniques(e.g.,machine learning)in neuroscience.

关键词： Fluorescence imaging Diffraction limit Nanoscale resolution Neuroscience

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