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2024 IEEE International Conference on Communications, Computing, Cybersecurity and Informatics, CCCI 2024

作者： Meshram, Chandrashekhar Obaidat, Mohammad S. Sadoun, Balqies Imoize, Agbotiname Lucky Studies and Research in Mathematics Jayawanti Haksar Government Post Graduate College Department of Post Graduation MP Betul460001 India University of Science and Technology Beijing Beijing100083 China SRM University SRM Nagar TN Kattankulathur603203 India Amity University UP Noida201301 India College of Engineering Al-Balqa Applied University AI-Salt Jordan University of Lagos Faculty of Engineering Department of Electrical and Electronics Engineering Akoka Lagos100213 Nigeria Institute of Digital Communication Ruhr University Department of Electrical Engineering and Information Technology Bochum44801 Germany

ISBN: (纸本)9798350349832

The advent of the Internet of Things (loT) heralds a trans formative era for electronic healthcare systems in smart environments, enabling remote healthcare delivery for individuals with special medical needs through smart home technologies. These smart homes are fitted with specialized electronic devices that automate healthcare delivery, enhancing patient safety and enabling real-Time health monitoring. Central to this system is a local intelligence unit that processes sensed data, identifies critical conditions, and facilitates communication between patients and healthcare providers. The integration of telemedicine and telecare into smart homes has led to the development of Telecare Medicine Information Systems (TMIS), further advancing remote healthcare services. However, TMIS faces significant security challenges, particularly in protecting sensitive user data transmitted over public networks. To overcome these vulnerabilities, identity-based authentication techniques based on extended chaotic maps have been proposed, though they often fall short of advanced security threats. This study introduces an innovative identity-based authentication scheme, leveraging an extended Chebyshev chaotic map within a smart city context, tailored for use in multi-server environments without trusted server relationships. The proposed scheme eliminates the need for a registration center and requires users to maintain only a single password for accessing multiple TMIS servers, offering enhanced security features and reduced computational overhead. The security and efficiency of the proposed scheme are substantiated through formal proof in the random oracle model, marking a significant advancement in secure remote healthcare delivery. © 2024 IEEE.

关键词： Smart homes

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Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator

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International Journal of Automation and computing 2021年第4期18卷 568-580页

作者： Satyam Paul Ajay Arunachalam Davood Khodadad Henrik Andreasson Olena Rubanenko Department of Engineering Design and Mathematics University of the West of EnglandBristol BS161QYUK Centre for Applied Autonomous Sensor Systems(AASS) Orebro UniversityOrebro 70281Sweden Department of Applied Physics and Electronics Umea UniversityUmea 90187Sweden Regional Innovational Center for Electrical Engineering Faculty of Electrical EngineeringUniversity of West BohemiaPilsen 30100Czech Republic

The implementation of image-based phenotyping systems has become an important aspect of crop and plant science research which has shown tremendous growth over the years. Accurate determination of features using images requires stable imaging and very precise processing. By installing a camera on a mechanical arm driven by motor, the maintenance of accuracy and stability becomes non-trivial. As per the state-of-the-art, the issue of external camera shake incurred due to vibration is a great concern in capturing accurate images, which may be induced by the driving motor of the manipulator. So, there is a requirement for a stable active controller for sufficient vibration attenuation of the manipulator. However, there are very few reports in agricultural practices which use control algorithms. Although, many control strategies have been utilized to control the vibration in manipulators associated to various applications, no control strategy with validated stability has been provided to control the vibration in such envisioned agricultural manipulator with simple low-cost hardware devices with the compensation of non-linearities. So, in this work, the combination of proportional-integral-differential(PID) control with type-2 fuzzy logic(T2-F-PID) is implemented for vibration control. The validation of the controller stability using Lyapunov analysis is established. A torsional actuator(TA) is applied for mitigating torsional vibration, which is a new contribution in the area of agricultural manipulators. Also, to prove the effectiveness of the controller, the vibration attenuation results with T2-F-PID is compared with conventional PD/PID controllers, and a type-1 fuzzy PID(T1-F-PID) controller.

关键词： Proportional-integral-differential(PID)controller fuzzy logic precision agriculture vibration control stability analysis modular manipulator agricultural robot computer numerical control(CNC)farming

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Rescattering of stimulated Raman side scattering in nonuniform plasmas

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Matter and Radiation at Extremes 2024年第5期9卷 68-76页

作者： S.Tan Q.Wang Y.Chen W.B.Yao C.Z.Xiao J.F.Myatt School of Physics and Electronics Hunan UniversityChangsha 410082China Institute of Applied Physics and Computational Mathematics Beijing 100094China School of Electrical and Information Engineering Anhui University of Science and TechnologyHuainanAnhui 232001China Department of Electrical and Computer Engineering University of Alberta9211116 St.NWEdmontonAlberta T6G 1H9Canada

Rescattering of stimulated Raman side scattering(SRSS)is observed for the first time via two-dimensional(2D)particle-in-cell(PIC)*** construct a theoretical model for the rescattering process,which can predict the region of occurrence of mth-order SRSS and estimate its *** rescattering process is identified by the 2D PIC simulations under typical conditions of a direct-drive inertial confinement fusion *** electrons produced by second-order SRSS propagate nearly perpendicular to the density gradient and gain nearly the same energy as in first-order SRSS,but there is no cascade acceleration to produce superhot *** studies for a wide range of ignition conditions show that SRSS and associated rescatterings are robust and important processes in inertial confinement fusion.

关键词： nonuniform acceleration scattering

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Editorial to the Special Issue “Nanophotonics and optical fibers: New avenues for sensing and active devices”

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Results in Optics 2024年 16卷

作者： Giaquinto, Martino Vaiano, Patrizio Department of Information Engineering Electrical Engineering and Applied Mathematics (DIEM) University of Salerno Fisciano 84084 Italy Department of Engineering University of Sannio Benevento 82100 Italy

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A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection 10

A Continual Learning System with Self Domain Shift Adaptatio...

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10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023

作者： Basterrech, Sebastian Kasprzak, Andrzej Platos, Jan Wozniak, Michal Technical University of Denmark Department of Applied Mathematics and Computer Science Kongens Lyngby Denmark Wroclaw University of Science and Technology Department of Systems and Computer Networks Wroclaw Poland VŠB-Technical University of Ostrava Faculty of Electrical Engineering and Computer Science Ostrava Czech Republic

ISBN: (纸本)9798350345032

Detecting fake news is currently one of the critical challenges facing modern societies. The problem is particularly relevant, as disinformation is readily used for political warfare but can also cause significant harm to the health of citizens, such as by promoting false data on the harmfulness of selected therapies. One way to combat disinformation is to treat fake news detection as a machine learning task. This paper presents such an approach, which additionally addresses an important problem related to the non-stationarity characteristics of the fake news. We elaborated a stream data with the simulation of domain shift based on two popular benchmark datasets dedicated to the fake news classification problem (Kaggle Fake News and Constraint@AAAI2021-COVID19 Fake News Detection). The proposed learning system works in a Continual Learning (CL) framework and integrates a self domain shift adaptation in a machine learning scheme. The method was built following state-of-the-art techniques, that includes Word2Vec as a feature extractor and the LSTM model as a classifier. The performance of the approach has been evaluated over the generated data stream. The convenience of our approach is showed in the results, where the accuracy gain with respect to a CL approach without domain adaptation is observed to be significant. © 2023 IEEE.

关键词： Long short-term memory

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NETWORK INPAINTING VIA OPTIMAL TRANSPORT

arXiv

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arXiv 2024年

作者： Facca, Enrico Nordbotten, Jan Martin Hanson, Erik Andreas Department of Mathematics University of Bergen Bergen Norway Department of Computer science Electrical engineering and Mathematical sciences Western Norway University of Applied Sciences Bergen Norway

In this work, we present a novel tool for reconstructing networks from corrupted images. The reconstructed network is the result of a minimization problem that has a misfit term with respect to the observed data, and a physics-based regularizing term coming from the theory of optimal transport. Through a range of numerical tests, we demonstrate that our suggested approach can effectively rebuild the primary features of damaged networks, even when artifacts are *** Codes 49-04, 49K20, 49N99, 65N21, 65N30, 65Z05 © 2024, CC BY.

关键词： Inverse problems

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Spectrally Flat Normal-GVD Kerr Combs via Opposite-Polarity Comb Synchronization

Spectrally Flat Normal-GVD Kerr Combs via Opposite-Polarity ...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Swarnava Sanyal Bok Young Kim Yoshitomo Okawachi Yun Zhao Karl J. McNulty Michal Lipson Alexander L. Gaeta Department of Applied Physics and Applied Mathematics Columbia University New York New York USA Now at Xscape Photonics Department of Electrical Engineering Columbia University New York New York USA

We demonstrate all-optical on-chip synchronization of opposite polarity Kerr combs in the normal group-velocity dispersion regime. Coherent combining of such combs with different spectral profiles allows us to efficie... 详细信息

ISBN: (纸本)9798350369311

关键词： Lasers and electrooptics System-on-chip Synchronization Electro-optical waveguides Dispersion

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Pilot-wave dynamics: Using dynamic mode decomposition to characterize bifurcations, routes to chaos, and emergent statistics

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Physical Review E 2023年第3期108卷 034213-034213页

作者： J. Nathan Kutz André Nachbin Peter J. Baddoo John W. M. Bush Department of Applied Mathematics and Electrical and Computer Engineering University of Washington Seattle Washington 98195 USA Department of Mathematical Sciences Worcester Polytechnic Institute Worcester Massachusetts 01742 USA Department of Mathematics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

We develop a data-driven characterization of the pilot-wave hydrodynamic system in which a bouncing droplet self-propels along the surface of a vibrating bath. We consider drop motion in a confined one-dimensional geometry and apply the dynamic mode decomposition (DMD) in order to characterize the evolution of the wave field as the bath's vibrational acceleration is increased progressively. Dynamic mode decomposition provides a regression framework for adaptively learning a best-fit linear dynamics model over snapshots of spatiotemporal data. Thus, DMD reduces the complex nonlinear interactions between pilot waves and droplet to a low-dimensional linear superposition of DMD modes characterizing the wave field. In particular, it provides a low-dimensional characterization of the bifurcation structure of the pilot-wave physics, wherein the excitation and recruitment of additional modes in the linear superposition models the bifurcation sequence. This DMD characterization yields a fresh perspective on the bouncing-droplet problem that forges valuable new links with the mathematical machinery of quantum mechanics. Specifically, the analysis shows that as the vibrational acceleration is increased, the pilot-wave field undergoes a series of Hopf bifurcations that ultimately lead to a chaotic wave field. The established relation between the mean pilot-wave field and the droplet statistics allows us to characterize the evolution of the emergent statistics with increased vibrational forcing from the evolution of the pilot-wave field. We thus develop a numerical framework with the same basic structure as quantum mechanics, specifically a wave theory that predicts particle statistics.

关键词： Dynamical systems

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Reservoir computing for system identification and predictive control with limited data

arXiv

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arXiv 2024年

作者： Williams, Jan P. Kutz, J. Nathan Manohar, Krithika Department of Mechanical Engineering University of Washington SeattleWA United States Departments of Applied Mathematics and Electrical and Computer Engineering University of Washington SeattleWA United States

Model predictive control (MPC) is an industry standard control technique that iteratively solves an open-loop optimization problem to guide a system towards a desired state or trajectory. Consequently, an accurate forward model of system dynamics is critical for the efficacy of MPC and much recent work has been aimed at the use of neural networks to act as data-driven surrogate models to enable MPC. Perhaps the most common network architecture applied to this task is the recurrent neural network (RNN) due to its natural interpretation as a dynamical system. In this work, we assess the ability of RNN variants to both learn the dynamics of benchmark control systems and serve as surrogate models for MPC. We find that echo state networks (ESNs) have a variety of benefits over competing architectures, namely reductions in computational complexity, longer valid prediction times, and reductions in cost of the MPC objective function. © 2024, CC BY.

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PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation 17th

PVBM: A Python Vasculature Biomarker Toolbox Based on Retin...

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17th European Conference on Computer Vision, ECCV 2022

作者： Fhima, Jonathan Eijgen, Jan Van Stalmans, Ingeborg Men, Yevgeniy Freiman, Moti Behar, Joachim A. Faculty of Biomedical Engineering Technion-IIT Haifa Israel Department of Applied Mathematics Technion-IIT Haifa Israel Research Group Ophthalmology Department of Neurosciences KU Leuven Leuven Belgium Department of Ophthalmology University Hospitals UZ Leuven Leuven Belgium The Andrew and Erna Viterbi Faculty of Electrical and Computer Engineering Technion-IIT Haifa Israel

ISBN: (纸本)9783031250651

Introduction: Blood vessels can be non-invasively visualized from a digital fundus image (DFI). Several studies have shown an association between cardiovascular risk and vascular features obtained from DFI. Recent advances in computer vision and image segmentation enable automatising DFI blood vessel segmentation. There is a need for a resource that can automatically compute digital vasculature biomarkers (VBM) from these segmented DFI. Methods: In this paper, we introduce a Python Vasculature BioMarker toolbox, denoted PVBM. A total of 11 VBMs were implemented. In particular, we introduce new algorithmic methods to estimate tortuosity and branching angles. Using PVBM, and as a proof of usability, we analyze geometric vascular differences between glaucomatous patients and healthy controls. Results: We built a fully automated vasculature biomarker toolbox based on DFI segmentations and provided a proof of usability to characterize the vascular changes in glaucoma. For arterioles and venules, all biomarkers were significant and lower in glaucoma patients compared to healthy controls except for tortuosity, venular singularity length and venular branching angles. Conclusion: We have automated the computation of 11 VBMs from retinal blood vessel segmentation. The PVBM toolbox is made open source under a GNU GPL 3 license and is available on *** (following publication). © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Image segmentation

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