Poorly managed postoperative acute pain can have long-lasting negative impacts and pose a major healthcare issue. There is limited investigation to understand and address the unique needs of patients experiencing acut...
Context: Smart contracts are prone to numerous security threats due to undisclosed vulnerabilities and code weaknesses. In Ethereum smart contracts, the challenges of timely addressing these code weaknesses highlight ...
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This work presents an electronically controlled reconfigurable scanned array utilizing reflective phase shifters, designed for future 6G applications. Operating within the centimeter-wave (cmWave) frequency band (13-1...
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Modern neural network models consume a large proportion of power in matrix-vector multiplications. At inference time, the trained network parameters are constant and organized in matrices. Knowing the constant matrice...
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ISBN:
(数字)9798350387179
ISBN:
(纸本)9798350387186
Modern neural network models consume a large proportion of power in matrix-vector multiplications. At inference time, the trained network parameters are constant and organized in matrices. Knowing the constant matrices in advance can significantly benefit hardware utilization, throughput and energy consumption of neural network implementations. This paper seeks to achieve hardware optimizations and reduce the computational cost of constant matrix multiplication by exploiting redundancies in sub-expressions common to several products and outputs. For FPGA implementation, our results show that the number of lookup tables can be decreased by up to 62% compared to a standard baseline version already optimized by vendor tools.
Recent advancements in model checking have demonstrated significant potential across diverse applications, particularly in signal and image analysis. Medical imaging stands out as a critical domain where model checkin...
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Application instrumentation is a crucial aspect of software development that ensures the effectiveness and efficiency of operations. However, the inherent costs associated with tracing and logging, such as increased e...
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Exploration in unknown and unstructured environments is a pivotal requirement for robotic applications. A robot’s exploration behavior can be inherently affected by the performance of its Simultaneous Localization an...
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ISBN:
(数字)9798350377705
ISBN:
(纸本)9798350377712
Exploration in unknown and unstructured environments is a pivotal requirement for robotic applications. A robot’s exploration behavior can be inherently affected by the performance of its Simultaneous Localization and Mapping (SLAM) subsystem, although SLAM and exploration are generally studied separately. In this paper, we formulate exploration as an active mapping problem and extend it with semantic information. We introduce a novel active metric-semantic SLAM approach, leveraging recent research advances in information theory and spectral graph theory: we combine semantic mutual information and the connectivity metrics of the underlying pose graph of the SLAM subsystem. We use the resulting utility function to evaluate different trajectories to select the most favorable strategy during exploration. Exploration and SLAM metrics are analyzed in experiments. Running our algorithm on the Habitat dataset, we show that, while maintaining efficiency close to the state-of-the-art exploration methods, our approach effectively increases the performance of metric-semantic SLAM with a 21% reduction in average map error and a 9% improvement in average semantic classification accuracy.
A shared aperture antenna is presented, which covers two widely separated frequency bands, Sub-6GHz and millimeter-wave (Sub-6GHz/mmWave), such as 3.5 and 28GHz. The overall antenna consists of a patch antenna that ra...
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ISBN:
(数字)9798350369908
ISBN:
(纸本)9798350369915
A shared aperture antenna is presented, which covers two widely separated frequency bands, Sub-6GHz and millimeter-wave (Sub-6GHz/mmWave), such as 3.5 and 28GHz. The overall antenna consists of a patch antenna that radiates at 3.5GHz, whereas the
$1\times 4$
CDRA (Circular Dielectric Resonator Antenna) array embedded in SIW (Substrate Integrated Wave-guide) radiates at the center frequency of 28GHz. To reduce the aperture antenna area, we use the stack layer technique. The overall dimension of the antenna is
$0.73\times 0.34\times 0.027\lambda_{L}^{3}$
, where
$\lambda_{L}$
is the low-frequency wavelength. The antenna performance achieves a bandwidth of 9.7%/9.46%, a maximum gain of 5.25dBi/10.5dBi, and an efficiency of 90.9%/88%.
Supervised learning algorithms generally assume the availability of enough memory to store data models during the training and test phases. However, this assumption is unrealistic when data comes in the form of infini...
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Exploration in unknown and unstructured environments is a pivotal requirement for robotic applications. A robot’s exploration behavior can be inherently affected by the performance of its Simultaneous Localization an...
详细信息
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