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3rd International Conference on electrical, Communication and computer engineering, ICECCE 2021

作者： Yatlml, Hanane Ouberri, Youness Marah, Rim Aroudam, Elhassan Chahid, Sara Essaadi University Modeling and Simulation of Mechanical Systems Team Faculty of Sciences Physics Department Tetouan Morocco Essaadi University Computer Science and Systems Engineering Laboratory Faculty of Sciences Abdelmalek Tetouan Morocco Chapman University Advanced Physics Laboratory Institute for Quantum Studies BurtonsvilleMD United States

ISBN: (纸本)9781665438971

One of the most important concerns about the control of the PV system is the maximum power point tracking algorithms, their implementation in various electronic devices for multiple technologies, and then the improvement of the quality and the accuracy of the outcomes using different techniques. This paper presents a programmable logic controller software design for a standalone photovoltaic system, and a comparison analysis between the incremental conductance and the perturb and observe MPPT algorithms based on an automation approach. The simulation using an automation software (Siemens TIA portal) and the experimental implementation using an automation PLC (S7-1200 PLC) reveals that the later presents a good MPP tracker for both algorithms;the only difference was that the IC algorithm shows better performance and lower oscillation around the maximum power point. The implementation of the incremental conductance on the PLC program has many advantages compared to the perturb and observe algorithm: mended tracking of the maximum power point despite the various and the fast-changing on weather conditions, fewer oscillations around the maximum power point, fast response to the change on temperature and irradiation levels, better stability for battery charging signals. The entire PV system is simulating in Siemens total integration automation interface (TIA portal) and the results are plotting using Siemens Human Machine Interface (WinCC). © 2021 IEEE.

关键词： Maximum power point trackers

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SPR biosensor based on a grating coupler operating in the optical switch configuration

SPR biosensor based on a grating coupler operating in the op...

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Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023

作者： Laffont, E. Crespo-Monteiro, N. Valour, A. Berini, P. Jourlin, Y. School of Electrical Engineering and Computer Science University of Ottawa OttawaONK1N 6N5 Canada Department of Physics University of Ottawa OttawaONK1N 6N5 Canada Laboratoire Hubert Curien Universite de Lyon UMR CNRS 5516 Saint-Etienne42000 France Nexus for Quantum Technologies Institute Advanced Research Complex 25 Templeton Street OttawaONK1N 6N5 Canada

A highly sensitive plasmonic biosensor based on monitoring two diffraction orders reflected from a sinusoidal Au grating is proposed. The biosensor which operates as an optical switch is demonstrated by detecting anti... 详细信息

ISBN: (纸本)9781957171241

关键词： Optical switches

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Scalable and High-Fidelity Quantum Random Access Memory in Spin-Photon Networks

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PRX Quantum 2021年第3期2卷 030319-030319页

作者： K. C. Chen W. Dai C. Errando-Herranz S. Lloyd D. Englund Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Computer Science University of Massachusetts Amherst Massachusetts 01003 USA Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

A quantum random access memory (qRAM) is considered an essential computing unit to enable polynomial speedups in quantum information processing. Proposed implementations include the use of neutral atoms and superconducting circuits to construct a binary tree but these systems still require demonstrations of the elementary components. Here, we propose a photonic-integrated-circuit (PIC) architecture integrated with solid-state memories as a viable platform for constructing a qRAM. We also present an alternative scheme based on quantum teleportation and extend it to the context of quantum networks. Both implementations realize the two key qRAM operations, (1) quantum state transfer and (2) quantum routing, with already demonstrated components: electro-optic modulators, a Mach-Zehnder interferometer (MZI) network, and nanocavities coupled to artificial atoms for spin-based memory writing and retrieval. Our approaches furthermore benefit from built-in error detection based on photon heralding. Detailed theoretical analysis of the qRAM efficiency and query fidelity shows that our proposal presents viable near-term designs for a general qRAM.

关键词： Light-matter interaction Quantum information architectures & platforms Quantum networks

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Broadband angular momentum cascade via a multifocal graphene vortex generator

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Chinese Optics Letters 2022年第10期20卷 91-95页

作者： Zhongwei Jin Guiyuan Cao Hongtao Wang Han Lin Baohua Jia Cheng-Wei Qiu College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Centre of Translational Atomaterials(CTAM) Faculty of ScienceEngineering and TechnologySwinburne University of TechnologyHawthornVIC 3122Australia School of Science RMIT UniversityMelbourneVIC 3000Australia The Australian Research Council(ARC)Industrial Transformation Training Centre in Surface Engineering for Advanced Materials(SEAM) Swinburne University of TechnologyHawthornVIC 3122Australia

Light beams carrying orbital angular momentum(OAM)have inspired various advanced applications,and such abundant practical applications in turn demand complex generation and manipulation of optical ***,we propose a multifocal graphene vortex generator,which can produce broadband angular momentum cascade containing continuous integer non-diffracting vortex *** device naturally embodies a continuous spiral slit vortex generator and a zone plate,which enables the generation of high-quality continuous vortex modes with deep depths of ***,the generated vortex modes can be simultaneously tuned through incident wavelength and position of the focal *** elegant structure of the device largely improves the design efficiency and can be fabricated by laser nanofabrication in a single ***,the outstanding property of graphene may enable new possibilities in enormous practical applications,even in some harsh environments,such as aerospace.

关键词： optical vortex multifocus broadband wavelength tunability graphene

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Photo-aligned quantum rods with t-shaped ligands based on liquid-crystal polymer matrix 57th

Photo-aligned quantum rods with t-shaped ligands based on li...

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57th SID International Symposium, Seminar and Exhibition, Display Week, 2020

作者： Kang, Chengbin Prodanov, Maksym F. Gupta, Swadesh K. Gao, Yiyang Vashchenko, Valerii V. Srivastava, Abhishek K. State Key Laboratory of Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

In this article, we disclose Quantum rods (QRs) with T-shape ligands for the fabrication of photoaligned, ink-jet printed, Quantum Rod Enhancement Film (QREF) that offers wide color gamut and polarized emission, and thus, improves the performance of the modern LCDs. T-shape ligands manipulate the alignment orientation of the anisotropic semiconductor QRs as well as further improve the compatibility between liquid crystal polymer (LCP) and QRs. These ligands induce a cooperative alignment for QRs in the LCP matrix, and therefore, greatly improve the brightness and degree of polarization of QREFs at the higher concentrations of QRs, which is perfectly suitable for the application in Liquid Crystal Displays (LCDs). With these ligands, we have been able to achieve an LCD with brightness ~560 nits and the color triangle of 96.9% BT2020. © 2020 SID.

关键词： Ligands

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Prediction of Chromaticvisualmaskingwithdeeplearning

Prediction of Chromaticvisualmaskingwithdeeplearning

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2020 IEEE International Conference on Image Processing, ICIP 2020

作者： Chetouani, Aladine Pedersen, Marius Le Moan, Steven University of OrlPRISME Laboratoryans Prisme Laboratory Norwegian University of Science and Technology Department of Computer Science Norway Massey University Department of Mechanical and Electrical Engineering New Zealand

ISBN: (纸本)9781728163956

Visual masking is a well-studied phenomenon that has been exploited for signal compression, computer graphics and data hiding. Among the different types of visual masking, chromatic masking has received very little attention despite its importance and proven potential for the aforementioned applications. In this paper, we ask whether a deep neural network can learn to predict the detection thresholds in a chromatic masking paradigm. For that, a CNN model was trained and evaluated using a dataset made of 480 image patches for which chromatic thresholds were registered in terms of log-Gabor targets, as well as Root Mean Square (RMS) error. Experimental results show the superiority of the proposed approach. © 2020 IEEE.

关键词： computer graphics

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Attention to Quantum Complexity

arXiv

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arXiv 2024年

作者： Kim, Hyejin Zhou, Yiqing Xu, Yichen Varma, Kaarthik Karamlou, Amir H. Rosen, Ilan T. Hoke, Jesse C. Wan, Chao Zhou, Jin Peng Oliver, William D. Lensky, Yuri D. Weinberger, Kilian Q. Kim, Eun-Ah Department of Physics Cornell University IthacaNY United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Google Research Mountain ViewCA United States Department of Physics Stanford University StanfordCA United States Department of Computer Science Cornell University IthacaNY14853 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics Ewha Womans University Seoul Korea Republic of

The imminent era of error-corrected quantum computing urgently demands robust methods to characterize the relative complexity of quantum states, even from limited and noisy measurements. We introduce the Quantum Attention Network (QuAN), a versatile, classical AI framework leveraging the power of attention mechanisms specifically tailored to address the unique challenges of learning quantum complexity. Inspired by large language models, QuAN treats measurement snapshots as tokens while respecting their permutation invariance. Combined with a novel parameter-efficient mini-set self-attention block (MSSAB), such data structure enables QuAN to access high-order moments of the bitstring distribution and preferentially attend to less noisy snapshots. We rigorously test QuAN across three distinct quantum simulation settings: driven hard-core Bose-Hubbard model, random quantum circuits, and the toric code under coherent and incoherent noise. QuAN directly learns entanglement and state complexity growth from experimentally obtained computational basis measurements. In particular, it learns the growth in complexity of random circuit data upon increasing depth from noisy experimental data. Taken to a regime inaccessible by existing theory, QuAN unveils the complete phase diagram for noisy toric code data as a function of both noise types. This breakthrough highlights the transformative potential of using purposefully designed AI-driven solutions to assist quantum hardware. © 2024, CC BY.

关键词： Hubbard model

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Pansharpening Methods Based on a Redundant Contourlet Transform

Pansharpening Methods Based on a Redundant Contourlet Transf...

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Earth Observation and Geo-Spatial Information (ICEOGI), International Conference on

作者： Soumeya Ourabia Nadia Baaziz Youcef Smara Departement of Electronics University Center of Tipaza -Morsli Abdelah-Institut of Sciences Laboratory of Image Processing and Radiation -USTHB Tipaza Algeria Department of Computer Science and Engineering Research Laboratory in Multimedia Information University of Quebec in Outaouais - UQO Gatineau Québec Canada Laboratory of Image Processing and Radiation Faculty of electrical engineering University of Sciences and Technology Houari Boumediene -USTHB Algiers Algeria

The pansharpening of high-resolution panchromatic (Pan) image and low-resolution multispectral (MS) images represents an important task in the remote sensing field. It allows the joint exploitation of the information derived from both types of images. However, this may cause a distortion of spectral information or a lack in details and structures. The multiresolution analysis using wavelet transforms has proved its efficiency in the pansharpening domain, due to the representation of the image content over different resolution levels. In image fusion applications, we always need more detail information to be incorporated in the pansharpening procedure in order to produce enhanced results. However, the limitation of the wavelet transform to three types of oriented detail coefficients prevents this need from being met. To overcome this limitation, we propose to use the redundant contourlet transform (RCT) which extracts a richer multiscale directional information from the image. For this purpose, two RCT-based pansharpening methods are introduced and suitable data fusion procedures are described. We conducted several experiments on two different datasets acquired respectively by ALSAT-2A and IKONOS satellites. The visual results as well as quantitative results from evaluation metrics demonstrate the performance of the proposed methods.

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Beamforming Design for the Performance Optimization of Intelligent Reflecting Surface Assisted Multicast MIMO Networks

arXiv

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arXiv 2022年

作者： Zhang, Songling Yang, Zhaohui Chen, Mingzhe Liu, Danpu Wong, Kai-Kit Poor, H. Vincent The Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing100876 China The College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Hangzhou310007 China Zhejiang Lab. Hangzhou31121 China The Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States The Department of Electronic and Electrical Engineering University College London LondonWC1E 6BT United Kingdom The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

In this paper, the problem of maximizing the sum of data rates of all users in an intelligent reflecting surface (IRS)-assisted millimeter wave multicast multiple-input multiple-output communication system is studied. In the considered model, one IRS is deployed to assist the communication from a multi-antenna base station (BS) to the multi-antenna users that are clustered into several groups. Our goal is to maximize the sum rate of all users by jointly optimizing the transmit beamforming matrices of the BS, the receive beamforming matrices of the users, and the phase shifts of the IRS. To solve this non-convex problem, we first use a block diagonalization method to represent the beamforming matrices of the BS and the users by the phase shifts of the IRS. Then, substituting the expressions of the beamforming matrices of the BS and the users, the original sum-rate maximization problem can be transformed into a problem that only needs to optimize the phase shifts of the IRS. To solve the transformed problem, a manifold method is used. Simulation results show that the proposed scheme can achieve up to 28.6% gain in terms of the sum rate of all users compared to the algorithm that optimizes the hybrid beamforming matrices of the BS and the users using our proposed scheme and randomly determines the phase shifts of the IRS. Copyright © 2022, The Authors. All rights reserved.

关键词： Multicasting

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Medical Image Registration and Its Application in Retinal Images: A Review

arXiv

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arXiv 2024年

作者： Nie, Qiushi Zhang, Xiaoqing Hu, Yan Gong, Mingdao Liu, Jiang Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China Center for High Performance Computing Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Singapore Eye Research Institute 169856 Singapore State Key Laboratory of Ophthalmology Optometry and Visual Science Eye Hospital Wenzhou Medical University Wenzhou325027 China

Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles, or modalities. Although several surveys have reviewed the development of medical image registration, these surveys have not systematically summarized methodologies of existing medical image registration methods. To this end, we provide a comprehensive review of these methods from traditional and deep learning-based directions, aiming to help audiences understand the development of medical image registration quickly. In particular, we review recent advances in retinal image registration at the end of each section, which has not attracted much attention. Additionally, we also discuss the current challenges of retinal image registration and provide insights and prospects for future research. © 2024, CC BY-NC-SA.

关键词： Deep learning

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