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2024 International Telecommunications Conference, ITC-Egypt 2024

作者： Noureldeen, Rana M. Elshshtawy, Rahma A. Elgohary, Omnia A. Wahba, Fatma Alzahraa A. Attia, Marco K. Abo Elazm, Zeinab B. Khattap, Mohamed G. Galal Eldeen Mohamed Ali Hassan, Hend Mostafa, Mariam Ibrahim, Nayra Ramadan, Reem Refaat, Yomna Khaled, Mennatallah Maher, Ali Abd Elaziz, Mohamed Gamal Abdellatif Ibrahim, Ahmed Faculty of Applied Health Sciences Galala University Suez435611 Egypt Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Artificial Intelligence Science Program Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Air Defense College Department of Electronics and Electrical Communications Engineering Alexandria Egypt

ISBN: (纸本)9798350351408

This paper proposes an alternative detection frame-work for multiple sclerosis (MS) and idiopathic acute transverse myelitis (ATM) within the 6G-enabled Internet of Medical Things (IoMT) environment. The developed framework relies on the implementation of a deep learning technique known as Dense Convolutional Networks (DenseNets) in the 6G-enabled IoMT to enhance prediction performance. To validate the performance of DenseNets, we compared it with other deep learning techniques, including Convolutional Neural Networks (CNN) and MobileNet, using real-world datasets. The experimental results show the high performance of DenseNets in predicting MS and ATM compared to other methods, achieving an accuracy of nearly 90 %. © 2024 IEEE.

关键词： Convolutional neural networks

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27 Hz Integral Linewidth Laser Based on a 5-billion Q Microfabricated Reference Cavity

27 Hz Integral Linewidth Laser Based on a 5-billion Q Microf...

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2023 Optical Fiber Communications Conference and Exhibition, OFC 2023

作者： Isichenko, Andrei Feng, Flame Jin, Naijun Liu, Kaikai Harrington, Mark W. Rakich, Peter T. Blumenthal, Daniel J. University of California at Santa Barbara Department of Electrical and Computer Engineering Santa BarbaraCA93106 United States Yale University Department of Applied Physics New HavenCT06520 United States

We stabilize a semiconductor laser to a manufacturable, microfabricated micro-Fabry-Perot dielectric reference cavity of 5 billion quality factor, achieving thermorefractive-noise-limited performance. A 27 Hz 1/π int... 详细信息

ISBN: (纸本)9781957171180

关键词： Semiconductor lasers

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Machine-Learning-Enhanced Quantum Optical Storage in Solids

arXiv

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arXiv 2024年

作者： Lei, Yisheng An, Haechan Li, Zongfeng Hosseini, Mahdi Department of Electrical and Computer Engineering Applied Physics Program Northwestern University EvanstonIL60208 United States Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

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 machine learning techniques to demonstrate nearly a 6-fold 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. © 2024, CC BY.

关键词： Signal to noise ratio

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Efficient Pumping of Spectral Holes in a Tm3+: YAG Crystal for Broadband Quantum Optical Storage

arXiv

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arXiv 2024年

作者： Lei, Yisheng Li, Zongfeng Hosseini, Mahdi Department of Electrical and Computer Engineering and Applied Physics Program Northwestern University EvanstonIL60208 United States Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States

Quantum memory devices with high storage efficiency and bandwidth are essential elements for future quantum networks. Here, we report a storage efficiency greater than 28% in a Tm3+: YAG crystal in elevated temperatures and without compromising the memory bandwidth. Using various pumping and optimization techniques, we demonstrate multi-frequency window storage with a high memory bandwidth of 630 MHz. Moreover, we propose a general method for large-bandwidth atomic-frequency memory with non-Kramers rare-earth-ion (REI) in solids enabling significantly higher storage efficiency and bandwidth. Our study advances the practical applications of quantum memory devices based on REI-doped crystals. © 2024, CC BY.

关键词： Optical pumping

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Not so griddy: Internal representations of RNNs path integrating more than one agent 38

Not so griddy: Internal representations of RNNs path integra...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Redman, William T. Acosta, Francisco Acosta-Mendoza, Santiago Miolane, Nina Intelligent Systems Center Johns Hopkins Applied Physics Laboratory United States Department of Physics University of California Santa Barbara United States Dynamical Neuroscience University of California Santa Barbara United States Department of Electrical & Computer Engineering University of California Santa Barbara United States

Success in collaborative and competitive environments, where agents must work with or against each other, requires individuals to encode the position and trajectory of themselves and others. Decades of neurophysiological experiments have shed light on how brain regions [e.g., medial entorhinal cortex (MEC), hippocampus] encode the self's position and trajectory. However, it has only recently been discovered that MEC and hippocampus are modulated by the positions and trajectories of others. To understand how encoding spatial information of multiple agents shapes neural representations, we train a recurrent neural network (RNN) model that captures properties of MEC to path integrate trajectories of two agents simultaneously navigating the same environment. We find significant differences between these RNNs and those trained to path integrate only a single agent. At the individual unit level, RNNs trained to path integrate more than one agent develop weaker grid responses, stronger border responses, and tuning for the relative position of the two agents. At the population level, they develop more distributed and robust representations, with changes in network dynamics and manifold topology. Our results provide testable predictions and open new directions with which to study the neural computations supporting spatial navigation. © 2024 Neural information processing systems foundation. All rights reserved.

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Maximal regularity for the heat equation with various boundary conditions in an infinite layer

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SUT Journal of Mathematics 2023年第2期59卷 73-90页

作者： Kajiwara, Naoto Matsui, Aiki Applied Physics Course Department of Electrical Electronic and Computer Engineering Gifu University Yanagido 1-1 Gifu 501-1193 Japan Yashirodai 3-60 Meito-ku Aichi Nagoya 465-0092 Japan

This paper treats resolvent Lq estimate and maximal Lp-Lq regularity for the heat equation with various boundary conditions in an infinite layer. We need to consider two boundary conditions on upper boundary and lower... 详细信息

This paper treats resolvent L_q estimate and maximal L_p-L_q regularity for the heat equation with various boundary conditions in an infinite layer. We need to consider two boundary conditions on upper boundary and lower boundary. We are able to choose any pair of Dirichlet, Neumann and Robin boundary conditions. We construct the solutions of Fourier multiplier operators and we use a theorem for an integral operator, which derives L_q-boundedness and L_p-L_q boundedness. The key is that the holomorphic symbols can be prop-erly estimated from above. © 2023, Tokyo University of Science. All rights reserved.

关键词： heat equation maximal regularity resolvent estimate

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Room-Temperature Optically Detected Magnetic Resonance of GaN Defect Single-Photon Emitters

Room-Temperature Optically Detected Magnetic Resonance of Ga...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Luo, Jialun Geng, Yifei Rana, Farhan Fuchs, Gregory D. Department of Physics Cornell University New York14850 United States School of Electrical and Computer Engineering Cornell University New York14850 United States School of Applied and Engineering Physics Cornell University New York14850 United States

ISBN: (纸本)9781957171258

关键词： Defects

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Hypergrating for Focusing Vortex Beam Below Diffraction Limit

Hypergrating for Focusing Vortex Beam Below Diffraction Limi...

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CLEO: Science and Innovations, S and I 2022

作者： Li, Wenhao Simmons, Evan LaMountain, Jacob M. Podolskiy, Viktor A. Litchinitser, Natalia M. Department of Electrical and Computer Engineering Duke University DurhamNC United States Department of Physics and Applied Physics University of Massachusetts Lowell LowellMA United States

Light with an orbital angular momentum can strongly modify optical transition selection rules when beam size is reduced to subwavelength scale. We demonstrated a method for focusing orbital angular momentum beams belo... 详细信息

ISBN: (纸本)9781557528209

关键词： Diffraction

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Reliability of Deployed Organic Photovoltaic Modules 52

Reliability of Deployed Organic Photovoltaic Modules

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52nd IEEE Photovoltaic Specialist Conference, PVSC 2024

作者： Sheriff, Hafiz K. M. Li, Yongxi Saad, Sammy Forrest, Stephen R. Applied Physics Program University of Michigan Ann ArborMI48109 United States Department of Electrical Engineering University of Michigan Ann ArborMI48109 United States Department of Physics University of Michigan Ann ArborMI48109 United States Department of Materials Science and Engineering University of Michigan Ann ArborMI48109 United States

ISBN: (纸本)9781665464260

The commercial future of organic photovoltaics (OPVs) relies on their efficiency and reliability. Recent progress in the field has ensured the achievement of device efficiency comparable to those of commercial silicon-based photovoltaics (Si-PVs) [1]. In pursuit of reliable devices, recent works have demonstrated the intrinsic stability of both small-molecule, vacuum deposited [2] and non-fullerene acceptor (NFA) - polymer-based devices [3] under controlled laboratory conditions. The final step for outdoor deployment is therefore a demonstration of the reliability of large area OPV modules in the field, subjected to fluctuating environmental conditions such as humidity, temperature, rainfall, snow, and solar intensity. In this work, we develop a customized test facility intended for the study of the reliability of large area OPV modules deployed in outdoor environments. The facility is designed for automated in-situ measurements calibrated to 1 sun solar intensity, AM 1.5 G illumination. Initial data show the modules retain more than 95% of their initial performance for 150 h when exposed to varying solar intensities, temperature fluctuations of -2°C to 10°C, and relative humidity as high as 90%. The only significant extrinsic challenge to device stability observed was the ingress of water into the package. This is mitigated by improved packaging which utilizes polyisobutylene (PIB) encapsulation and a customized insulated glass unit (IGU). © 2024 IEEE.

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A large field‑of‑view,single‑cell‑resolution two‑and three‑photon microscope for deep and wide imaging

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eLight 2024年第1期4卷 26-39页

作者： Aaron T.Mok Tianyu Wang Shitong Zhao Kristine E.Kolkman Danni Wu Dimitre G.Ouzounov Changwoo Seo Chunyan Wu Joseph R.Fetcho Chris Xu School of Applied and Engineering Physics Cornell UniversityIthacaNYUSA Meining School of Biomedical Engineering Cornell UniversityIthacaNYUSA Department of Electrical and Computer Engineering Boston UniversityBostonMAUSA Department of Neurobiology and Behavior Cornell UniversityIthacaNYUSA Harvard T.H.Chan School of Public Health Harvard UniversityCambridgeMAUSA Department of Molecular&Cellular Biology Harvard UniversityCambridgeMAUSA McGovern Institute for Brain Research at MIT CambridgeMAUSA

In vivo imaging of large-scale neuronal activity plays a pivotal role in unraveling the function of the brain’s *** microscopy,a powerful tool for deep-tissue imaging,has received sustained interest in advancing its speed,field of view and imaging ***,to avoid thermal damage in scattering biological tissue,field of view decreases exponentially as imaging depth *** present a suite of innovations to optimize three-photon microscopy for large field-of-view imaging at depths unreachable by two-photon *** techniques enable us to image neuronal activities of transgenic animals expressing protein calcium sensors in a~3.5-mm diameter field-of-view with single-cell resolution in the deepest cortical layer of mouse *** further demonstrate simultaneous large field-of-view two-photon and three-photon imaging,subcortical imaging in the mouse brain,and whole-brain imaging in adult *** demonstrated techniques can be integrated into typical multiphoton microscopes to enlarge field of view for system-level neural circuit research.

关键词： Three-photon microscopy Two-photon microscopy Large field of view Brain imaging DEEPscope

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