Electroencephalographic (EEG) data is considered contaminated with various types of artifacts. Deep learning has been successfully applied to developing EEG artifact removal techniques to increase the signal-to-noise ...
Electroencephalographic (EEG) data is considered contaminated with various types of artifacts. Deep learning has been successfully applied to developing EEG artifact removal techniques to increase the signal-to-noise ratio (SNR) and enhance brain-computer interface performance. Recently, our research team has proposed an end-to-end UNet-based EEG artifact removal technique, IC-U-Net, which can reconstruct signals against various artifacts. However, this model suffers from being prone to overfitting with a limited training dataset size and demanding a high computational cost. To address these issues, this study attempted to leverage the architecture of UNet++ to improve the practicability of IC-U-Net by introducing dense skip connections in the encoder-decoder architecture. Results showed that this proposed model obtained superior SNR to the original model with half the number of parameters. Also, this proposed model achieved comparable convergency using a quarter of the training data size.
Providing quality healthcare services and promoting collaborative clinical research are easier and more efficient with electronic medical record (EMR) systems. All aspects of care are included in electronic health rec...
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Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic ***,fused multi-modal electron microscopy offers high signal-to-noise ratio(SNR)r...
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Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic ***,fused multi-modal electron microscopy offers high signal-to-noise ratio(SNR)recovery of material chemistry at nano-and atomic-resolution by coupling correlated information encoded within both elastic scattering(high-angle annular dark-field(HAADF))and inelastic spectroscopic signals(electron energy loss(EELS)or energy-dispersive x-ray(EDX)).By linking these simultaneously acquired signals,or modalities,the chemical distribution within nanomaterials can be imaged at significantly lower doses with existing detector *** many cases,the dose requirements can be reduced by over one order of *** high SNR recovery of chemistry is tested against simulated and experimental atomic resolution data of heterogeneous nanomaterials.
Distinct selectivity to the spin angular momenta of photons has garnered significant attention in recent years, for its relevance in basic science and for imaging and sensing applications. While nonlocal metasurfaces ...
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Distinct selectivity to the spin angular momenta of photons has garnered significant attention in recent years, for its relevance in basic science and for imaging and sensing applications. While nonlocal metasurfaces with strong chiral responses to the incident light have been reported, these responses are typically limited to a narrow range of incident angles. In this study, we demonstrate a nonlocal metasurface that showcases strong chirality, characterized by circular dichroism (∼0.6), over a wide range of incident angles ±5°. Its quality factor, circular dichroism and resonant frequency can be optimized by design. These findings pave the way to further advance the development of valley-selective optical cavities and augmented reality applications.
We evaluated and designed the canted angle and magnetic properties of canted spin-orbit torque (SOT) MRAM cells fabricated in a 300mm CMOS fully compatible process. In the results, we demonstrated that 75°-canted...
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ISBN:
(数字)9798350362985
ISBN:
(纸本)9798350362992
We evaluated and designed the canted angle and magnetic properties of canted spin-orbit torque (SOT) MRAM cells fabricated in a 300mm CMOS fully compatible process. In the results, we demonstrated that 75°-canted SOT devices as SOT-MRAM cell reduced the write power at 0.35 ns field-free writing by 35% and 20% compared to 30°-canted SOT devices [1] and Type Y SOT devices [2], respectively. We also achieved the world's lowest write power of 156 fJ in SOT devices, thanks to the advanced design of both 75°-canted SOT devices and optimized magnetic anisotropy of the MTJ which maintained a large thermal stability factor (Δ) of 70 and a high TMR ratio of 170%. From a viewpoint of stable writing operation at sub-nanosecond, we demonstrated that at a WER of 1E-4 in 0.8 ns writing, the 75°-canted SOT device achieved a lower current density of 20.8 MA/cm 2 , which is 43% and 22% lower than the 30°-canted SOT device and the Type Y SOT device, respectively. This study would provide guidelines for the development of canted SOT-MRAM with low power, high speed, and field-free writing.
This work introduces an approach to compute periodic phase diagram of micromagnetic systems by solving a periodic linearized Landau-Lifshitz-Gilbert (LLG) equation using an eigenvalue solver with the Finite Element Me...
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This study proposes a direct teaching method for the task of pressing an end effector attached to a robot manipulator against a workpiece with a constant force. When performing contact tasks, such as deburring or poli...
This study proposes a direct teaching method for the task of pressing an end effector attached to a robot manipulator against a workpiece with a constant force. When performing contact tasks, such as deburring or polishing using a manipulator, a passive compliance is required for the end effector to suppress excessive contact force and impact. Therefore, we developed an end effector that combines a “parallel wire-type teaching device,” which enables direct teaching, and a compliance device. In the case of pressing a workpiece with a constant force, after teaching the robot's trajectory to trace the edge of the workpiece, the amount of pressing can be calculated from the stiffness of the end effector and the desired pressing force; the robot's trajectory can be edited to teach contact tasks. An experiment was conducted to press a straight trajectory with a constant force as the target value and evaluate the accuracy of force teaching.
In this letter, we present a dynamic routing guidance system that optimizes route recommendations for individual vehicles within an emerging transportation system while enhancing travelers’ trip equity. We develop a ...
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In this paper, we investigate the application of hexagonal quadrature amplitude modulation (HQAM) in reconfigurable intelligent surface (RIS)-assisted networks, specifically focusing on its efficiency in reducing the ...
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ISBN:
(数字)9798350344998
ISBN:
(纸本)9798350345001
In this paper, we investigate the application of hexagonal quadrature amplitude modulation (HQAM) in reconfigurable intelligent surface (RIS)-assisted networks, specifically focusing on its efficiency in reducing the number of required reflecting elements. Specifically, we present analytical expressions for the average symbol error probability (ASEP) and propose a new metric for conditioned energy efficiency, which assesses the network’s energy consumption while ensuring the ASEP remains below a certain threshold. Additionally, we introduce an innovative detection algorithm for HQAM constellations, which demonstrates a substantial reduction in computational complexity. Finally, our study reveals that HQAM significantly enhances both the ASEP and energy efficiency compared to traditional quadrature amplitude modulation (QAM) schemes.
This letter proposes a hidden convexity-based method to address distributed optimal energy flow (OEF) problems for transmission-level integrated electricity-gas systems. First, we develop a node-wise decoupling method...
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