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A Deep Dive Into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron

IEEE Transactions on Nanotechnology 2023年 22卷 666-672页

作者： Islam, Md Mazharul Alam, Shamiul Schuman, Catherine D Hossain, Md Shafayat Aziz, Ahmedullah University of Tennessee Department of Electrical Engineering and Computer Science KnoxvilleTN37996 United States Princeton University Department of Physics PrincetonNJ08544 United States

Spiking neural network offers the most bio-realistic approach to mimic the parallelism and compactness of the human brain. A spiking neuron is the central component of an SNN which generates information-encoded spikes. We present a comprehensive design space analysis of the superconducting memristor (SM)-based electrically reconfigurable cryogenic neuron. A superconducting nanowire (SNW) connected in parallel with an SM function as a dual-frequency oscillator and two of these oscillators can be coupled to design a dynamically tunable spiking neuron. The same neuron topology was previously proposed where a fixed resistance was used in parallel with the SNW. Replacing the fixed resistance with the SM provides an additional tuning knob with four distinct combinations of SM resistances, which improves the reconfigurability by up to ∼70%. Utilizing an external bias current (Ibias), the spike frequency can be modulated up to ∼3.5 times. Two distinct spike amplitudes (∼1V and ∼1.8 V) are also achieved. Here, we perform a systematic sensitivity analysis and show that the reconfigurability can be further tuned by choosing a higher input current strength. By performing a 500-point Monte Carlo variation analysis, we find that the spike amplitude is more variation robust than spike frequency and the variation robustness can be further improved by choosing a higher Ibias. Our study provides valuable insights for further exploration of materials and circuit level modification of the neuron that will be useful for system-level incorporation of the neuron circuit. © 2002-2012 IEEE.

关键词： Neurons

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Parameters Estimation of Modified Triple Diode Model of PSCs Considering Charge Accumulations and Electric Field Effects Using Puma Optimizer

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computer Modeling in engineering & Sciences 2025年第4期143卷 723-745页

作者： Amlak Abaza Ragab A.El-Sehiemy Mona Gafar Ahmed Bayoumi Electrical Engineering Department Faculty of EngineeringKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Computer Engineering and Information College of Engineering inWadi AlddawasirPrince Sattam Bin Abdulaziz UniversityKharj16278Saudi Arabia Machine Learning and Information Retrieval Department Artificial IntelligenceKafrelsheikh UniversityKafrelsheikh33516Egypt Electrical Department Faculty of Engineering and TechnologyBadr University in CairoBadr11829Egypt Physics and Mathematics Department Faculty of EngineeringKafrelsheikh UniversityKafrelsheikh33516Egypt College of Engineering Al-Ayen UniversityThi-Qar64001Iraq

Promoting the high penetration of renewable energies like photovoltaic(PV)systems has become an urgent issue for expanding modern power grids and has accomplished several challenges compared to existing distribution *** study measures the effectiveness of the Puma optimizer(PO)algorithm in parameter estimation of PSC(perovskite solar cells)dynamic models with hysteresis consideration considering the electric field effects on *** models used in this study will incorporate hysteresis effects to capture the time-dependent behavior of PSCs *** PO optimizes the proposed modified triple diode model(TDM)with a variable voltage capacitor and resistances(VVCARs)considering the hysteresis *** suggested PO algorithm contrasts with other wellknown optimizers from the literature to demonstrate its *** results emphasize that the PO realizes a lower RMSE(Root mean square errors),which proves its capability and efficacy in parameter extraction for the *** statistical results emphasize the efficiency and supremacy of the proposed PO compared to the other well-known competing *** convergence rates show good,fast,and stable convergence rates with lower RMSE via PO compared to the other five competitive ***,the lowermean realized via the PO optimizer is illustrated by the box plot for all optimizers.

关键词： Dynamic model of PSCs puma optimizer parameter estimation triple diode model

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Enhanced scattering from an almost-periodic optical temporal slab

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Physical Review A 2024年第4期110卷 L041501页

作者： Stefanos Fr. Koufidis Theodoros T. Koutserimpas Francesco Monticone Martin W. McCall Blackett Laboratory Department of Physics School of Electrical and Computer Engineering

We showcase the impact of almost-periodicity on the parametric amplification associated with the first-order momentum gap in photonic time-crystals with time-varying permittivity. Utilizing a vectorial coupled-wave theory approach, we rigorously analyze the scattering by a temporal slab of the considered medium. We pinpoint a critical regime wherein flaws in material tuning paradoxically enhance amplification due to the coupling of fewer, broader modes, resulting in a higher and broader pulselike amplification envelope. Additionally, we demonstrate that the intensity reflectances of time-reversed waves corresponding to secondary “Bragg” resonances achieve remarkably high levels of subharmonic parametric amplification, with the epsilon-near-zero regime serving as a preferred candidate for experimental implementation. Our counterintuitive findings highlight the potential of intentionally leveraging modulation desynchronization and impurities in the temporal unit cell of photonic time-crystals to enhance both the level and the bandwidth of amplification.

关键词： Light propagation, transmission & absorption Metamaterials Time crystals Bragg structures Optical parametric oscillators & amplifiers Perturbative methods Rigorous coupled-wave analysis

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One-Dimensional Kalman Filter with Measurement Noise Replaced by Quantization 59

One-Dimensional Kalman Filter with Measurement Noise Replace...

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59th Annual Conference on Information Sciences and Systems, CISS 2025

作者： De Alcantara, Pedro Aquino Bezerra Costa, Flavio Fuhrmann, Daniel R. Michigan Technological University Department of Electrical and Computer Engineering Houghton United States Michigan Technological University Department of Applied Computing Houghton United States

ISBN: (纸本)9798331513269

Several communication systems applications rely on state estimators for dynamic monitoring and control. Kalman Filters have been widely used for state estimation of stochastic processes. Low communication bandwidth adds more complexity to state estimator models, as state quantization should be considered. This paper studies a one-dimensional Kalman Filter with a 1-bit quantization process replacing noisy measurements. 2-bin and 3-bin 1-bit quantizers are considered. State distributions are calculated using discrete convolutions on a fine grid, and with Gaussian approximations. For the 3-bin 1-bit quantizer, two variations of the Gaussian approximation are developed. MATLAB simulations for the five resulting methods indicate that discrete convolutions are not worth the high computational cost, and that the 3-bin 1-bit quantizer eliminates the granular noise of the conventional 2-bin 1-bit quantizer. © 2025 IEEE.

关键词： Kalman filters

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A hybrid optimization approach for securing cloud-based e-health systems

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Multimedia Tools and Applications 2025年第16期84卷 16525-16560页

作者： Altherwi, Abdulhadi Ahmad, Mohammad Tauheed Alam, Md. Moddassir Mirza, Hidayath Sultana, Nazia Pasha, Amjad Ali Sultana, Nishat Khan, Asif Irshad Alam, Md Mottahir Azim, Rezaul Department of Industrial Engineering College of Engineering and Computer Science Jazan University PO Box. 706 Jazan45142 Saudi Arabia College of Medicine King Khalid University Abha Saudi Arabia Department of Health Information Management and Technology College of Applied Medical Sciences University of Hafr Al-Batin Hafr Al-Batin Saudi Arabia Department of Electrical and Electronic Engineering College of Engineering and Computer Science Jazan University Jazan45142 Saudi Arabia Government Medical College Siddipet Ensanpalli Siddipet District Telangana502114 India Aerospace Engineering Department King Abdulaziz University Jeddah21589 Saudi Arabia Department of Business Administration Applied College Jazan University P. O. Box 706 Jazan45142 Saudi Arabia Department of Computer Science Aligarh Muslim University Uttar Pradesh Aligarh202002 India Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz Jeddah21589 Saudi Arabia Department of Physics University of Chittagong Chattogram4331 Bangladesh

In modern healthcare, cloud-based e-health technology offers substantial benefits but faces significant security challenges. Sensitive patient data is vulnerable to cyber threats during transmission and storage, potentially enabling unethical collaboration between healthcare professionals and cloud storage providers. This paper aims to develop a robust security framework that safeguards patient privacy and prevents unauthorized access to sensitive medical information in remote patient health monitoring systems. The study presents an Artificial Hybrid Optimization with an Attribute-Based Encryption (AHO-ABE) model. The model leverages cryptographic techniques and hybrid optimization to enhance data security. Specifically, whale optimization (WO) is used for efficient key generation, while sheep flock optimization (SFO) is employed for continuous network surveillance. Experimental results demonstrate that the AHO-ABE model significantly enhances data security, outperforming existing RPM-MEC, AID, AI-HCS, and IoT-HMS approaches. The model exhibits superior resilience against unauthorized access and data breaches, achieving a 5 ms execution time, 850 kbps throughput, 0.121 mJ energy usage, and 4 s latency. Combining cryptographic techniques with hybrid optimization algorithms, the AHO-ABE model provides a robust framework for safeguarding sensitive medical information. This approach ensures the integrity and confidentiality of patient data in remote healthcare settings, offering an effective solution against high-performance cyber attacks. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Diagnosis

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Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems 57

Performance Analysis of Model-Free Control and PID Control o...

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57th Annual Conference on Information Sciences and Systems, CISS 2023

作者： Peng, James Cheng Spall, James C. Virginia Tech Bradley Department of Electrical and Computer Engineering ArlingtonVA United States Johns Hopkins University Department of Applied Mathematics and Statistics Applied Physics Laboratory LaurelMD United States

ISBN: (纸本)9781665451819

Modern dynamical systems are generally non-linear, which make traditional linear controllers infeasible in some cases. To cope with the need for controlling such modern systems, researchers have developed robust nonlinear controllers that leverage function approximators such as neural networks and polynomials. In this work, we investigate one successful nonlinear controller, the SPSA (si-multaneous perturbation stochastic approximation)-based model-free control. We shall make a rigorous performance analysis on a class of nonlinear MIMO systems. As a benchmark, we compare it with PID, one of the most-widely used control technique. © 2023 IEEE.

关键词： Stochastic systems

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Optical Solitons with Parabolic and Weakly Nonlocal Law of Self-Phase Modulation by Laplace-Adomian Decomposition Method

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computer Modeling in engineering & Sciences 2025年第3期142卷 2513-2525页

作者： Oswaldo González-Gaxiola Anjan Biswas Ahmed H.Arnous Yakup Yildirim Applied Mathematics and Systems Department Universidad Autonoma Metropolitana-CuajimalpaVasco de Quiroga 4871Mexico City05348Mexico Department of Mathematics and Physics Grambling State UniversityGramblingLA 71245-2715USA Department of Applied Sciences Cross-Border Faculty of HumanitiesEconomics and EngineeringDunarea de Jos University of GalatiGalati800201Romania Department of Mathematics and Applied Mathematics Sefako Makgatho Health Sciences UniversityPretoria0204South Africa Department of Physics and Engineering Mathematics Higher Institute of EngineeringEl-Shorouk AcademyCairo11837Egypt Department of Computer Engineering Biruni UniversityIstanbul34010Turkey Mathematics Research Center Near East UniversityNicosia99138Cyprus

Computational modeling plays a vital role in advancing our understanding and application of soliton *** allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton *** the present study,we computationally derive the bright and dark optical solitons for a Schrödinger equation that contains a specific type of *** nonlinearity in the model is the result of the combination of the parabolic law and the non-local law of self-phase modulation *** numerical simulation is accomplished through the application of an algorithm that integrates the classical Adomian method with the Laplace *** results obtained have not been previously reported for this type of ***,for the purpose of comparison,the numerical examination has taken into account some scenarios with fixed parameter ***,the numerical derivation of solitons without the assistance of an exact solution is an exceptional take-home lesson fromthis ***,the proposed approach is demonstrated to possess optimal computational accuracy in the results presentation,which includes error tables and *** is important tomention that themethodology employed in this study does not involve any form of linearization,discretization,or ***,the physical nature of the problem to be solved remains unaltered,which is one of the main advantages.

关键词： Soliton solutions parabolic law nonlinearity weakly nonlocal Schrödinger equation laplace-adomian decomposition method

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HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach 31

HPC Application Parameter Autotuning on Edge Devices: A Band...

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31st Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2024

作者： Hossain, Abrar Badawy, Abdel-Hameed A. Islam, Mohammad A. Patki, Tapasya Ahmed, Kishwar Department of Electrical Engineering and Computer Science The University of Toledo United States Department of Electrical and Computer Engineering New Mexico State University United States Department of Computer Science and Engineering The University of Texas Arlington United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory United States

ISBN: (纸本)9798331509095

The growing necessity for enhanced processing capabilities in edge devices with limited resources has led us to develop effective methods for improving high-performance computing (HPC) applications. In this paper, we introduce LASP (Lightweight Autotuning of Scientific Application Parameters), a novel strategy designed to address the parameter search space challenge in edge devices. Our strategy employs a multi-armed bandit (MAB) technique focused on online exploration and exploitation. Notably, LASP takes a dynamic approach, adapting seamlessly to changing environments. We tested LASP with four HPC applications: Lulesh, Kripke, Clomp, and Hypre. Its lightweight nature makes it particularly well-suited for resource-constrained edge devices. By employing the MAB framework to efficiently navigate the search space, we achieved significant performance improvements while adhering to the stringent computational limits of edge devices. Our experimental results demonstrate the effectiveness of LASP in optimizing parameter search on edge devices. © 2024 IEEE.

关键词： Edge computing

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Investigation of XLPE Power Cable Insulation Degradation Under Chemical, electrical, and Mechanical Stress 50

Investigation of XLPE Power Cable Insulation Degradation Und...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Abuelrub, Abdelaziz Refaat, Shady S. Kameli, Sayed Mohammad Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar School of Physics Engineering and Computer Science University of Hertfordshire Hatfield United Kingdom

ISBN: (纸本)9781665464543

High voltage (HV) power cables are exposed to various stresses, such as chemical, electrical, mechanical, and thermal. These stresses contribute to the eventual failure of electrical power cables in an unpredictable manner. Cross-linked polyethylene (XLPE) is an essential component of a power cable’s insulation layers, and unwanted stresses negatively affect the insulation layers’ performance in various ways. In this paper, three 3D Maxwell finite element analysis (FEA) models of a single core, 30 kV DC power cable are built to study the effects of chemical stress, electrical stress, and mechanical stress on the characteristics of polymer insulation material. The main parameter utilized for determining insulation health in this work is the polarization index. Temporal evolution in the polarization index is investigated, as aging-induced stresses degrade the XLPE’s structure. The severity of chemical stress, electrical stress, and mechanical stress is estimated and compared based on the polarization index, with a focus on chemical stress, highlighting the severity of the deformation caused within the inner polymeric structure of XLPE. The severity is obtained for the innermost and outermost insulation layers. It was discovered that the insulation layer’s proximity to the cable’s core is the main factor influencing degradation. Moreover, the obtained results successfully demonstrate the polarization index’s ability to detect degradation after the 95-day mark, indicated by the substantial increase in polarization index values, common between all stress types applied. © 2024 IEEE.

关键词： Crosslinking

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Design and Performance Assessment of Variable Fractional Order PID controller 3

Design and Performance Assessment of Variable Fractional Ord...

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3rd IEEE applied Signal Processing Conference, ASPCON 2023

作者： Mukherjee, Nishant Sen, Kausik Chakraborty, Biswajit University of Calcutta Instrumentation Engineering Department of Applied Physics Kolkata India Jadavpur University Department of Electrical Engineering Kolkata India

ISBN: (纸本)9798350325881

This paper puts forth a new controller design of Fractional Order PID (FOPID) controllers i.e., Variable Fractional Order PID (VFOPID) controller. It has been contrived by utilizing three distinct values of λ (integral order) and μ (derivative order) considering different regions of process output. Existing control schemes like Ziegler Nichols (ZN) tuning, Fixed Set Point Weighting (FSPW) and Variable Set Point Weighting (VSPW) fail to provide satisfactory results in both, initial transient and load rejection phases. In this context, VFOPID can provide better response during both phases. The effectiveness of the proposed VFOPID controller is demonstrated by considering two different process models and their perturbed models in MATLAB simulation platform. The supremacy of the proposed controller is established by comparing the various performance indices of existing control methods and the suggested controller. From the results it is observed that, VFOPID shows excellent robust control ability under considerable perturbation which makes it superior. © 2023 IEEE.

关键词： Robust control

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