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Algorithmic optimization of quantum optical storage in solids

Physical Review Research 2024年第3期6卷 033153-033153页

作者： Yisheng Lei Haechan An Zongfeng Li Mahdi Hosseini Department of Electrical and Computer Engineering and Applied Physics Program Elmore Family School of Electrical and Computer Engineering

Quantum memory devices with high storage efficiency and bandwidth are essential elements for future quantum networks. Solid-state quantum memories can provide broadband storage, but they primarily suffer from low storage efficiency. We use passive optimization and algorithmic optimization techniques to demonstrate nearly a sixfold enhancement in quantum memory efficiency. In this regime, we demonstrate coherent and single-photon-level storage with a high signal-to-noise ratio. The optimization technique presented here can be applied to most solid-state quantum memories to significantly improve the storage efficiency without compromising the memory bandwidth.

关键词： Quantum communication

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An Artificial Heart System for Testing and Evaluation of Cardiac Pacemakers

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computers, Materials & Continua 2022年第12期73卷 6269-6287页

作者： Martin Augustynek Jan Kubicek Jaroslav Thomas Marek Penhaker Dominik Vilimek Michal Strycek Ondrej Sojka Antonino Proto Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer ScienceVSB-Technical University of Ostrava17.Listopadu 15Ostrava–Poruba70800Czech Republic

The usability assessment of a pacemaker is a complex task where the dedicated programmer for testing programmed algorithms is *** paper provides the outcomes of development and complex testing of the artificial cardiac system to evaluate the pacemaker’s *** this work,we used the modular laboratory platform ELVIS II and created graphical user interface in LabVIEW programming *** electrical model of the heart allows signals generation(right atrium,right ventricle)and the monitoring of the stimulation *** LabVIEW user interface allows to set the parameters of the generated signals and the simulation of the cardiac rhythm disorders as well as the monitoring and visualization of the pacemaker behavior in *** results demonstrate the capability of proposed system to evaluate the paced and sensed *** proposed solution allows the scientists to test the behavior of any cardiac pacemaker for its pre-programmed settings and pacing *** addition,the proposed system can simulate various disorders and test cardiac pacemakers in different working modes.

关键词： Artificial heart cardiac conduction system electrical cardiac stimulation pacemaker

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Hand Movements Detection Using EMG Signals for Human-computer Interface and convolution neural network 20

Hand Movements Detection Using EMG Signals for Human-Compute...

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20th CSI International Symposium on Artificial Intelligence and Signal Processing, AISP 2024

作者： Nazari, Jamal Nosheri, Azar Ghamangiz Mousavi, Seyed Amirhossein Islamic Azad University Qazvin Branch Department of Electrical Engineering and Mechatronics Engineering Qazvin Iran Islamic Azad University Mashhad Branch Department of Computer Engineering Mashhad Iran Islamic Azad University Mashhad Branch Department of Biomedical Engineering Mashhad Iran

ISBN: (纸本)9798350383942

This article presents a study on the effectiveness of a Convolutional Neural Network -based approach for hand movement detection using electromyography (EMG) signals. The study involved 40 participants and used Myo armbands to record EMG signals. The CNN model consisted of three convolutional layers, three max-pooling layers, and two fully connected layers. The model achieved an F1-score of 0.981, precision of 0.981, and recall of 0.981, outperforming two other machine learning algorithms, SVM and RF. The study's results demonstrate the potential of using CNNs for detecting hand movements using EMG signals, which can be applied in prosthetics and robotics for controlling prosthetic limbs and robotic arms. The study's findings suggest that CNN-based approaches have great potential for future research in the field of EMG-based hand movement detection. © 2024 IEEE.

关键词： Machine learning

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The Use of Long Short-Term Memory Models to Estimate Soybean Pricing: A Regional Climate Data Evaluation From Brazil

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IEEE Access 2025年 13卷 101869-101884页

作者： Oliva, Jefferson Tales Martelli, Otávio Pigozzo de Castro Barbosa, Marco Antônio Molin, Viviane Dal Casanova, Dalcimar Teixeira, Marcelo Federal University of Technology–Paraná Graduate Program in Electrical and Computer Engineering Pato Branco85503-390 Brazil Federal University of Technology–Paraná Department of Academic Informatics Pato Branco85503-390 Brazil Federal University of Technology–Paraná Graduate Program in Production and Systems Engineering Pato Branco85503-390 Brazil

This work uses machine learning methods to analyze the influence of the Brazilian climate on international soybean price variability. For this purpose, climatic data, historical series of the extended national consumer price index, dollar price historical series, soybean harvest historical series, and international soybean price historical series are collected from different data sources. The data is then preprocessed and grouped by state. Afterward, data from the five most productive Brazilian states, Mato Grosso (MT), Mato Grosso do Sul (MS), Goiás (GO), Paraná (PR), and Rio Grande do Sul (RS), which together correspond to 74.9% of total production, are chosen. Then, predictive models were built using the long short-term memory (LSTM) method, which is applied to each state dataset considering two different settings: with and without climatic data. Thus, two models were built for each Brazilian state, totaling ten predictors. These models are evaluated using 10-fold sequential split cross-validation, whose predictive results are used for performance comparison through statistical hypothesis testing. In the experimental evaluation, when trained with climatic data, the PR model achieved the lowest average values of root mean squared error (RMSE) and mean absolute error (MAE), which are 20.90 and 16.72, respectively. Regarding predictors trained without climate data, the RS and PR obtained the lowest averaged values of RMSE (20.84) and MAE (16.81), respectively. After performing statistical hypothesis tests, no significant differences were found between the models, stating, with certainty 95%, that the Brazilian climatic data did not influence soybean prices in our study. © 2013 IEEE.

关键词： Time series

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Errors Induced by Partial Pathlength Variations Due to Mammographic Compression in Dynamic Diffuse Optical Breast Imaging 16

Errors Induced by Partial Pathlength Variations Due to Mammo...

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Optical Tomography and Spectroscopy of Tissue XVI 2025

作者： Niknam, Kaiser Paul, Mannu Bardhan Donaldson, Anthony Das, Mini Department of Physics University of Houston HoustonTX United States Department of Biomedical Engineering University of Houston HoustonTX United States Department of Electrical and Computer Engineering University of Houston HoustonTX United States

ISBN: (纸本)9781510683761

Optical imaging methods have the potential to overcome many of the drawbacks posed by current breast imaging modalities. Previous studies have found that mammographic compression induces different hemodynamic effects in cancerous and healthy breast tissue. This effect could be exploited in continuous-wave near-infrared spectroscopic imaging (CW-NIRS) for fast and accurate breast cancer screening. The primary issue with this approach is that breast tissue (and the cancerous mass) is displaced during the compression process, potentially introducing a considerable amount of errors and noise into the NIRS measurements with the current simple models used in estimating blood volume (and/or oxy/deoxy Hb) concentrations. In this work, we examine how these errors change with signal depth with breast compression and investigate methods to correct these based on simulations and experiments. © 2025 SPIE.

关键词： Mammography

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Giant phonon-skyrmion coupling in ferromagnet/heavy metal heterostructures

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Physical Review B 2024年第6期110卷 064423-064423页

作者： Egor Savostin Vitaliy Lomakin Program in Materials Science and Engineering Center for Memory and Recording Research Department of Electrical and Computer Engineering

The strong impact of the strain-induced Dzyaloshinskii-Moriya interaction (SIDMI) on the magnetization dynamics of skyrmions in nanomagnetic structures is demonstrated. The effects of SIDMI are characterized by skyrmion equations (SEs) of motion and magnetoelastic (ME) equations. The study is performed on a model system of MgO/CoFe/Pt stacked on a piezoelectric substrate. The results demonstrate a major nonlinear amplification in both the first- and higher-harmonic magnitudes of the skyrmion breathing mode due to SIDMI. Remarkably, this enhancement can trigger a skyrmion collapse, enabling its deletion with ultraweak strain-induced excitations. The SIDMI effect is shown to be much more significant than the conventional ME effect. These findings open different avenues for the efficient manipulation of nanomagnetic structures through strain.

关键词： Exchange interaction Magnetic interactions Magnetization dynamics Magnetoacoustic effect Micromagnetism Spin dynamics

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Surrogate Simulation of Subject-Specific Lateral Pinch via Deep Learning 46

Surrogate Simulation of Subject-Specific Lateral Pinch via D...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Lindbeck, Erica M. Diaz, Maximillian T. Nichols, Jennifer A. Harley, Joel B. University of Florida Department of Electrical and Computer Engineering GainesvilleFL United States University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering GainesvilleFL United States

ISBN: (纸本)9798350371499

Musculoskeletal modeling and simulation is often a lengthy and computationally expensive process, particularly when developing and using personalized models. We present a deep learning-based adaptive surrogate model for lateral pinch, which accepts both musculoskeletal parameters and muscle activations as input for personalization and simulation. This model matches traditional OpenSim forward dynamics with an average root-mean-squared error (RMSE) of 2.27 N, within standard errors of experimental measurements, while demonstrating sensitivity to both categories of input and performing thousand of simulations in seconds (10-1000x faster than traditional multi-body simulations). In addition to direct use as a surrogate, the differentiable nature of the model may support future use in optimization problems, while its flexibility may support adaptation to modeling of experimental data. © 2024 IEEE.

关键词： Adversarial machine learning

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An 8-ENOB Sampling-Rate Reconfigurable Asynchronous SAR ADC for Space Applications

An 8-ENOB Sampling-Rate Reconfigurable Asynchronous SAR ADC ...

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2022 International Conference on Microelectronics, ICM 2022

作者： Karim, Rashid Grassi, Marco Malcovati, Piero University of Pavia Department of Electrical Computer and Biomedical Engineering Italy

ISBN: (纸本)9781665493246

This paper presents a novel architecture and design of an 8-bits Asynchronous Successive-Approximation-Register (ASAR) Analog-to-Digital-Converter (ADC) targeted for multi-channel readout ASICs for space applications. Unlike other ASAR ADCs, this ADC uses a variable delay cell which provides the desired delay only to the rising-edge of the internally generated clock signal. In addition, the ADC has the capability to conFigure its sampling-rate (fs), from typical 40 kS/s to 167 kS/s, with proportional power consumption. Moreover, the proposed architecture is adaptable to the frequency and duty cycle of the only external low duty cycle 'CLKsampling' signal, which can be customized for the desired application. Designed in a 0.35 μm CMOS process with a supply voltage of 3.3 V, the ADC achieves in schematic-level simulations an ENOB of 7.93 bits, a peak SNDR of 49.5 dB, DNL and INL of © 2022 IEEE.

关键词： Space applications

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High-fidelity super-resolution imaging with deconvolution by pixel reassignment (DPR)

High-fidelity super-resolution imaging with deconvolution by...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Zhao, Bingying Mertz, Jerome Department of Electrical and Computer Engineering Boston University MA02215 United States Department of Biomedical Engineering Boston University MA02215 United States

We demonstrated a novel super-resolution analytical approach, deconvolution by pixel reassignment (DPR), which can enhance the spatial resolution in fluorescence microscopy beyond the diffraction limit with high fidel... 详细信息

ISBN: (纸本)9781957171258

关键词： Pixels

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UNETVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM 22

UNETVL: Enhancing 3D Medical Image Segmentation with Chebysh...

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22nd IEEE International Symposium on biomedical Imaging, ISBI 2025

作者： Guo, Xuhui Dam, Tanmoy Dhamdhere, Rohan Modanwal, Gourav Madabhushi, Anant University of Michigan Electrical Engineering and Computer Science Department Ann Arbor United States Georgia Institute of Technology Emory University Wallace H. Coulter Department of Biomedical Engineering Atlanta United States

ISBN: (纸本)9798331520526

3D medical image segmentation has progressed considerably due to Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), yet these methods struggle to balance long-range dependency acquisition with computational efficiency. To address this challenge, we propose UNETVL (U-Net Vision-LSTM), a novel architecture that leverages recent advancements in temporal information processing. UNETVL incorporates Vision-LSTM (ViL) for improved scalability and memory functions, alongside an efficient Chebyshev Kolmogorov-Arnold Networks (KAN) to handle complex and long-range dependency patterns more effectively. We validated our method on the ACDC and AMOS2022 (post challenge Task 2) benchmark datasets, showing a significant improvement in mean Dice score compared to recent state-of-the-art approaches, especially over its predecessor, UNETR, with increases of 7.3% on ACDC and 15.6% on AMOS, respectively. Extensive ablation studies were conducted to demonstrate the impact of each component in UNETVL, providing a comprehensive understanding of its architecture. Our code is available at https://***/tgrex6/UNETVL, facilitating further research and applications in this domain. © 2025 IEEE.

关键词： Semantic Segmentation

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