Titlebook: Applications in Electronics Pervading Industry, Environment and Society; APPLEPIES 2021 Sergio Saponara,Alessandro De Gloria Conference pro

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,Assisted Driving for Power Wheelchair: A Segmentation Network for Obstacle Detection on Nvidia Jetsrk was then customised to perform inference on the Nvidia Jetson Nano hardware accelerator, to be mounted directly on the wheelchair. The resulting model achieves an accuracy of around 85% and inference time of 35 ms, thus providing a concrete solution towards the target assisted power wheelchair.

SEVER

,Analysis of Thermal-Induced Shunt Current Sensor Errors in a Low-Cost Battery Management System, thermoelectric effect as the best candidate to explain the error. The thermal simulation of the circuit validated the hypothesis with perfect match. Finally, the guidelines for a correct shunt choice in a Battery Management System are provided.

GRIN

agitate

Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/a/image/159259.jpg

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https://doi.org/10.1007/978-3-030-95498-7Electronics; APPLEPIES; smart sensors; electronic applications; information communication technology

Visual-Acuity

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https://doi.org/10.1007/978-3-030-94747-7y of spectrum resources. Spectrum sensing technique is key premise of realizing legitimate spectrum access in cognitive radio. In this paper, we propose to use a convolutional auto-encoder to solve the instability problem caused by complex environments in the traditional spectrum sensing process. Th

Gerontology

Emotions in Korean Philosophy and Religionmage requires the neural network to learn from four times as many pixels, and this increase the training time for the architecture. In this work, we presented the evolution of effects of image resizing on model training time and performance. This study is applied on a vehicle dataset. We used You Lo

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