The crisis resulting from the use of fossil fuels has heightened the push towards increasing the share of renewable energy production, particularly from sources like wind and solar power. While wind energy holds speci...
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Aiming at the problem of low precision and large cleaning error in multi-link similar data mining, a multi-link similar data mining cleaning method based on Bayesian algorithm is proposed in this paper. On the basis o...
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The development of demand-side management with controlled loads has received a lot of attention as a result of the smart grid's ongoing growth and the energy market's volatility. The large number of household ...
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Semantic segmentation plays an important role in computer perception tasks. Integrating the rich details of RGB images with the illumination robustness of thermal infrared (TIR) images is a promising approach for achi...
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Semantic segmentation plays an important role in computer perception tasks. Integrating the rich details of RGB images with the illumination robustness of thermal infrared (TIR) images is a promising approach for achieving reliable semantic scene understanding. Current approaches for RGB-Thermal semantic segmentation often overlook the unique characteristics exhibited by each modality at different encoding layers and underutilize the complementary information between the two modalities during decoding. To acquire complementary cross-modality encoding and decoding features, we propose a multi-branch differential bidirectional fusion network known as MDBFNet. Firstly, it models the dependencies between the modality-specific characteristics and the different encoding layers, and designs a TIR-led detail enhancement module (TDE) and an RGB-led semantic enhancement module (RSE) to guide distinguishable fusion for different layer features. Secondly, a three-branch fusion decoder with three supervision (TFDS) is proposed to thoroughly explore the complementary decoding features between two modalities. Experiments on MFNet and PST900 datasets show that our method surpasses state-of-the-art methods by a clear margin. IEEE
In this paper,a modification to the eigenmode operation of resonant gyroscopes is *** multi-coefficient eigenmode operation can improve cross-mode isolation due to electrode misalignments and imperfections,which is on...
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In this paper,a modification to the eigenmode operation of resonant gyroscopes is *** multi-coefficient eigenmode operation can improve cross-mode isolation due to electrode misalignments and imperfections,which is one of the causes of residual quadrature errors in conventional eigenmode operations.A 1400µm annulus aluminum nitride(AlN)on a silicon bulk acoustic wave(BAW)resonator with gyroscopic in-plane bending modes at 2.98 MHz achieves a nearly 60 dB cross-mode isolation when operated as a gyroscope using a multi-coefficient eigenmode *** as-born frequency mismatches in multiple devices are compensated by physical laser *** demonstrated AlN piezoelectric BAW gyroscope shows a large open-loop bandwidth of 150 Hz and a high scale factor of 9.5 nA/°/s on a test board with a vacuum *** measured angle random walk is 0.145°/√h,and the bias instability is 8.6°/h,showing significant improvement compared to the previous eigenmode AlN BAW *** results from this paper prove that with multi-coefficient eigenmode operations,piezoelectric AlN BAW gyroscopes can achieve a noise performance comparable to that of their capacitive counterpart while having the unique advantage of a large open-loop bandwidth and not requiring large DC polarization voltages.
Lightweight yet reliable depth estimation models that can deployed on edge devices are crucial for the practical application of fields such as autonomous driving, robot navigation, and augmented reality. However, prev...
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3D integration promises to resolve many of the heat and die size limitations of 2D integrated circuits. A critical step in the design of 3D many-cores and MPSOCs is the layout of their 3D network-on-chip (NoC). In thi...
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Recently, Neural Radiance Fields(NeRF) have shown remarkable performance in the task of novel view synthesis through multi-view. The present study introduces an advanced optimization framework, termed Pose Interpolati...
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The droop control is the most common method in decentralized control of the dc microgrids. In this paper, the linear droop control is applied to a battery energy storage system (BESS) using a bidirectional step-up/dow...
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To properly diagnose and screen for skin disorders, precise segmentation of the affected area is required. Segmenting skin lesions is difficult because of factors such as the form of the lesion, its proximity to surro...
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