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Metasurfaces for next-generation wireless communication systems

National science Review 2023年第8期10卷 17-19页

作者： Younes Ra'di Nikita Nefedkin Petar Popovski Andrea Alù Department of Electrical Engineering and Computer Science Syracuse University Photonics Initiative Advanced Science Research Center City University of New York Department of Electronic Systems Aalborg University Physics Program Graduate Center City University of New York

The pace of development in the world of 5G communication systems has proven to be much more demanding than previous generations, with 5G-Advanced seemingly around the corner [1]. Extensive research is already underway to structure the next generation of wireless systems(i.e. 6G), which may potentially enable an unprecedented level of human–machine interaction [2].

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Optimal Placement of Software Monitors Aiding Systematic Testing

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IEEE Transactions on Software engineering 1975年第4期SE-1卷 403-411页

作者： Ramamoorthy, C.V. Kim, K.H. Chen, W.T. Computer Science Division Department of Electrical Engineering and Computer Sciences University of California Berkeley Calif 94720 United States Department of Electrical Engineering Systems and Computer Science Program University of Southern California Los Angeles Calif. United States

The usefulness of software monitors in testing large ‘programs is discussed. Several types of testing strategies based on the use of monitors are surveyed. Since there is a computational overhead involved in employing monitors, attempts are made to minimize the number of monitors employed. This optimization problem is formulated and analyzed in graph-theoretic terms. Implementation aspects are considered through both discussion and examples. Copyright © 1975 by The Institute of electrical and Electronics Engineers, Inc.

关键词： Optimal placement overhead program testing software monitor test-input test-output test-path test-run

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A Flexible Renewal Process Simulator for Neural Spike Trains

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IEEE Transactions on Biomedical engineering 1976年第3期BME-23卷 262-266页

作者： Belanger, Barry F. Williams, William J. Yin, Tom C. T. Bioelectrical Sciences Laboratory Department of Electrical and Computer Engineering and the Bioengineering Program University of Michigan Ann Arbor MI 48109. United States

Certain neuronal spike trains may be viewed as stochastic, nonhomogeneous point process. Neuronal information may be encoded in the time-varying mean rate of the spike train in some cases. For this purpose the simulat... 详细信息

关键词： Humans Heart Bioelectric phenomena Testing Cardiology Myocardium Neurons Laboratories Thorax Signal analysis

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All-optical image denoising using a diffractive visual processor

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Light(science & Applications) 2024年第3期13卷 429-445页

作者： Çağatay Işıl Tianyi Gan Fazil Onuralp Ardic Koray Mentesoglu Jagrit Digani Huseyin Karaca Hanlong Chen Jingxi Li Deniz Mengu Mona Jarrahi Kaan Akşit Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA 90095USA University College London Department of Computer ScienceLondonUnited Kingdom

Image denoising,one of the essential inverse problems,targets to remove noise/artifacts from input *** general,digital image denoising algorithms,executed on computers,present latency due to several iterations implemented in,e.g.,graphics processing units(GPUs).While deep learning-enabled methods can operate non-iteratively,they also introduce latency and impose a significant computational burden,leading to increased power ***,we introduce an analog diffractive image denoiser to all-optically and non-iteratively clean various forms of noise and artifacts from input images–implemented at the speed of light propagation within a thin diffractive visual processor that axially spans<250×λ,whereλis the wavelength of *** all-optical image denoiser comprises passive transmissive layers optimized using deep learning to physically scatter the optical modes that represent various noise features,causing them to miss the output image Field-of-View(FoV)while retaining the object features of *** results show that these diffractive denoisers can efficiently remove salt and pepper noise and image rendering-related spatial artifacts from input phase or intensity images while achieving an output power efficiency of~30–40%.We experimentally demonstrated the effectiveness of this analog denoiser architecture using a 3D-printed diffractive visual processor operating at the terahertz *** to their speed,power-efficiency,and minimal computational overhead,all-optical diffractive denoisers can be transformative for various image display and projection systems,including,e.g.,holographic displays.

关键词： remove rendering holographic

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Motion tracked 3D Visualization system for Segmented ROI in medical imaging 2021

Motion tracked 3D Visualization system for Segmented ROI in ...

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7th International Conference on Arab Women in Computing, ArabWIC 2021

作者： Yaghi, Maha Zia, Huma Hajjdiab, Hassan El-Baz, Ayman Ghazal, Mohammed Electrical Computer and Biomedical Engineering Department Abu Dhabi University United Arab Emirates Computer Science Department Concordia University Bioengineering Department University of Louisville

ISBN: (纸本)9781450384186

computer-aided diagnosis systems are increasingly used in the detection and segmentation of abnormalities in medical imaging. However, in many borderline cases, radiologists and physicians need to analyze the images to confirm the diagnosis. This paper proposes a novel analysis system for visualizing the output of 3D segmented abnormalities and the associated computer diagnoses. We use motion trackers to localize the user's viewing device and estimate its 3D orientation. We then use this tracking data to slice the segmented and labeled volume showing the abnormalities in real-time. The user can switch between the labeled and raw views to analyze the abnormalities' boundaries. To test our visualization, we use our brain tumor segmentation pipeline using MRI scans to produce a labeled image and slice and visualize the tumor from all angles. Our system has a low latency of 0.01 seconds and can identify the viewing device's 3D location and orientation within a maximum of 0.2 cm and 2 degrees of error, respectively. The accuracy of our system depends on the segmentation pipeline. Our proposed system is also useful for medical training and as a visual feedback tool for computer-aided system's researchers and developers. © 2021 Association for Computing Machinery.

关键词： Magnetic resonance imaging

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Three-dimensional fourier-transform second-harmonic generation microscopy for quantification of collagen fiber organization in biological tissues

Three-dimensional fourier-transform second-harmonic generati...

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Frontiers in Optics, FIO 2012

作者： Lau, Tung-Yuen Ambekar, Raghu Toussaint, Kimani C. United States Department of Mechanical Science and Engineering United States Department of Electrical and Computer Engineering United States Departments of Electrical and Computer Engineering and Bioengineering University of Illinois Urbana-Champaign IL 61820 United States

Fourier transform-second harmonic generation imaging has previously been shown to be useful in quantifying collagen fiber organization in 2D. Here, we generalize this approach to 3D and calculate preferred fiber orien... 详细信息

ISBN: (纸本)9781557529565

关键词： Harmonic generation

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Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images

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Physical Review Applied 2025年第3期23卷 034035-034035页

作者： Niko R. Reed Danyal Bhutto Matthew J. Turner Declan M. Daly Sean M. Oliver Jiashen Tang Kevin S. Olsson Nicholas Langellier Mark J.H. Ku Department of Physics University of Maryland College Park Maryland USA Quantum Technology Center University of Maryland College Park Maryland USA Joint Quantum Institute University of Maryland College Park Maryland USA Department of Biomedical Engineering Boston University Boston Massachusetts USA A. A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown Massachusetts USA Department of Electrical and Computer Engineering University of Maryland College Park Maryland USA The MITRE Corporation McLean Virginia 22102 USA Intelligence Community Postdoctoral Research Fellowship Program University of Maryland College Park Maryland 20742 USA Department of Physics Harvard University Cambridge Massachusetts USA Present address: VideaHealth Inc. Boston MA. Department of Materials Science and Engineering University of Delaware Newark Delaware 19716 USA Department of Physics and Astronomy University of Delaware Newark Delaware 19716 USA Present address: Northrop Grumman Mission Systems Linthicum Maryland 21090 USA.

The reconstruction of electrical current densities from magnetic field measurements is an important technique with applications in materials science, circuit design, quality control, plasma physics, and biology. Analytic reconstruction methods exist for planar currents, but break down in the presence of high-spatial-frequency noise or large standoff distance, restricting the types of systems that can be studied. Here, we demonstrate the use of a deep convolutional neural network for current density reconstruction from two-dimensional images of vector magnetic fields acquired by a quantum diamond microscope . Trained network performance significantly exceeds analytic reconstruction for data with high noise or large standoff distances. This machine learning technique can perform quality inversions on lower-signal-to-noise-ratio data, significantly reducing the data collection time and permitting reconstructions of weaker and three-dimensional current sources.

关键词： Signal to noise ratio

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Effect of electrolyte anions on the cycle life of a polymer electrode in aqueous batteries

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escience 2022年第1期2卷 110-115页

作者： Ye Zhang Lihong Zhao Yanliang Liang Xiaojun Wang Yan Yao Department of Electrical and Computer Engineering Materials Science and Engineering ProgramUniversity of HoustonHoustonTX77204USA Texas Center for Superconductivity at the University of Houston HoustonTX77204USA

Redox polymers are a class of high-capacity, low-cost electrode materials for electrochemical energy storage, butthe mechanisms governing their cycling stability are not well understood. Here we investigate the effect of anionson the longevity of a p-dopable polymer through comparing two aqueous zinc-based electrolytes. Galvanostaticcycling studies reveal the polymer has better capacity retention in the presence of triflate anions than that withsulfate anions. Based on electrode microstructural analysis and evolution profiles of the cell stacking pressure, theorigin of capacity decay is ascribed to mechanical fractures induced by volume change of the polymer activematerials during repeated cycling. The volume change of the polymer with the triflate anion is 61% less than thatwith the sulfate anion, resulting in fewer cracks in the electrodes. The difference is related to the different anionsolvation structures—the triflate anion has fewer solvated water molecules compared with the sulfate anion,leading to smaller volume expansion. This work highlights that anions with low solvation degree are preferablefor long-term cycling.

关键词： Aqueous batteries Polymer electrode Anions Volume chang

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Topographic component (Parallel Factor) analysis of multichannel evoked potentials: Practical issues in trilinear spatiotemporal decomposition

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Brain Topography 1991年第4期3卷 407-423页

作者： Field, Aaron S. Graupe, Daniel Department of Electrical Engineering and Computer Science and Department of Bioengineering (M/C 154) The University of Illinois at Chicago Chicago 60680 Illinois Box 4348 United States

We describe a substantive application of the trilinear topographic components /parallel factors model (TC/PARAFAC, due to Möcks/Harshman) to the decomposition of multichannel evoked potentials (MEP's). We provide practical guidelines and procedures for applying PARAFAC methodology to MEP decomposition. Specifically, we apply techniques of data preprocessing, orthogonality constraints, and validation of solutions in a complete TC analysis, for the first time using actual MEP data. The TC model is shown to be superior to the traditional bilinear principal components model in terms of data reduction, confirming the advantage of the TC model's added assumptions. The model is then shown to provide a unique spatiotemporal decomposition that is reproducible in different subject groups. The components are shown to be consistent with spatial/temporal features evident in the data, except for an artificial component resulting from latency jitter. Subject scores on this component are shown to reflect peak latencies in the data, suggesting a new aspect to statistical analyses based on subject scores. In general, the results support the conclusion that the TC model is a promising alternative to principal components for data reduction and analysis of MEP's. © 1991 Human sciences Press, Inc.

关键词： Decomposition Evoked potentials Principal components Spatiotemporal analysis Topographic components

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SIMPLE APPROACH TO REFLECTANCE ANALYSIS OF BIREFRINGENT STRATIFIED FILMS

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APPLIED OPTICS 1991年第28期30卷 4017-4018页

作者： KNOESEN, A []The author is with the Department of Electrical Engineering Computer Science Organized Research Program on Polymeric Ultrathin Film Systems University of California Davis Davis California 95616

A simple analysis is presented of reflectance from a stratified uniaxial media with the optic axes parallel or perpendicular to the plane of incidence.

关键词： UNIAXIAL FILMS POLED POLYMERS THIN FILM BIREFRINGENT

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