Nonlinear impairments from transceiver components in short-reach optical communication systems, such as drivers, TIAs, and external modulators, pose significant challenges for achieving high data rates with low latenc...
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Combining optical and electronic systems could enable information processing that is a million times faster than existing gigahertz technology. Imagine leveraging nature’s fastest processes to power the electronics i...
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Combining optical and electronic systems could enable information processing that is a million times faster than existing gigahertz technology. Imagine leveraging nature’s fastest processes to power the electronics in semiconductor chips, quantum sensors and quantum computers. Such transformative speed would not only greatly improve the performance of technology, but unveil new vistas for fundamental science as well.
Cavity electromagnonic system,which simultaneously consists of cavities for photons,magnons(quanta of spin waves),and acoustic phonons,provides an exciting platform to achieve coherent energy transduction among differ...
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Cavity electromagnonic system,which simultaneously consists of cavities for photons,magnons(quanta of spin waves),and acoustic phonons,provides an exciting platform to achieve coherent energy transduction among different physical systems down to single quantum *** we report a dynamical phase-field model that allows simulating the coupled dynamics of the electromagnetic waves,magnetization,and strain in 3D multiphase *** examples of application,we computationally demonstrate the excitation of hybrid magnon-photon modes(magnon polaritons),Floquet-induced magnonic Aulter-Townes splitting,dynamical energy exchange(Rabi oscillation)and relative phase control(Ramsey interference)between the two magnon polariton *** simulation results are consistent with analytical calculations based on Floquet Hamiltonian *** are also performed to design a cavity electro-magno-mechanical system that enables the triple phononmagnon-photon resonance,where the resonant excitation of a chiral,fundamental(n=1)transverse acoustic phonon mode by magnon polaritons is *** the capability to predict coupling strength,dissipation rates,and temporal evolution of photon/magnon/phonon mode profiles using fundamental materials parameters as the inputs,the present dynamical phase-fieldmodel represents a valuable computational tool to guide the fabrication of the cavity electromagnonic system and the design of operating conditions for applications in quantum sensing,transduction,and communication.
Deep learning has recently become a viable approach for classifying Alzheimer's disease(AD)in medical ***,existing models struggle to efficiently extract features from medical images and may squander additional in...
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Deep learning has recently become a viable approach for classifying Alzheimer's disease(AD)in medical ***,existing models struggle to efficiently extract features from medical images and may squander additional information resources for illness *** address these issues,a deep three‐dimensional convolutional neural network incorporating multi‐task learning and attention mechanisms is *** upgraded primary C3D network is utilised to create rougher low‐level feature *** introduces a new convolution block that focuses on the structural aspects of the magnetORCID:ic resonance imaging image and another block that extracts attention weights unique to certain pixel positions in the feature map and multiplies them with the feature map ***,several fully connected layers are used to achieve multi‐task learning,generating three outputs,including the primary classification *** other two outputs employ backpropagation during training to improve the primary classification *** findings show that the authors’proposed method outperforms current approaches for classifying AD,achieving enhanced classification accuracy and other in-dicators on the Alzheimer's disease Neuroimaging Initiative *** authors demonstrate promise for future disease classification studies.
Recent advances in data-driven imitation learning and offline reinforcement learning have highlighted the use of expert data for skill acquisition and the development of hierarchical policies based on these skills. Ho...
This paper presents the California Test System (CATS), a synthetic transmission grid in California that can be used by the public for power systems policy research without revealing any critical energy information. Th...
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Conventional image compression techniques are mostly developed for the human visual system. However, with the extensive use of deep neural networks (DNNs), more and more images will be consumed by DNN-based intelligen...
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ISBN:
(纸本)9781728198354
Conventional image compression techniques are mostly developed for the human visual system. However, with the extensive use of deep neural networks (DNNs), more and more images will be consumed by DNN-based intelligent machines, which makes it crucial to develop image compression techniques customized for DNN vision while being JPEG compliant. In this paper, we first propose a new distortion measure, dubbed the sensitivity weighted error (SWE). Then, we develop OptS, a DNN-oriented compression algorithm with full JPEG compatibility, which designs optimal quantization tables for DNN models based on SWE. To test the performance of our algorithm, experiments of image classification are conducted on the ImageNet dataset for two prevailing DNN models. Results demonstrate that our algorithm achieves better rate-accuracy (R-A) performance than the default JPEG. For some DNN model, the compression ratio of our algorithm can reach 8.3x(1), reducing the compression rate (bits per pixel, bpp) of the default JPEG by 57.4% with no accuracy loss. Our source code is available at https://***/zkxufo/***.
engineering outreach and introductory courses are essential for motivating and training the next generation of capable engineers. Accessibility and portability of the infrastructure for a STEM course is critical for s...
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This article studies a new stator-permanent magnet (PM) motor with flux-switching (FS) and flux-reversal (FR) effects synergies. The proposed structure benefits from the splitting stator pole PMs and consequent-pole F...
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This paper presents a simulation-based study on a modified distributed beamforming (DB) technique in phased array weather radars for operational accuracy. The technique uses electronic steering along with mechanical r...
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