Search Results for author: Silvano Cortesi

Found 5 papers, 2 papers with code

Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node

1 code implementation21 Dec 2023 Tobias Margiani, Silvano Cortesi, Milena Keller, Christian Vogt, Tommaso Polonelli, Michele Magno

Accurate and low-power indoor localization is becoming more and more of a necessity to empower novel consumer and industrial applications.

Indoor Localization

Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes

no code implementations24 Nov 2023 Jonah Imfeld, Silvano Cortesi, Philipp Mayer, Michele Magno

Spatial and contextual awareness has the potential to revolutionize sensor nodes, enabling spatially augmented data collection and location-based services.

Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices

1 code implementation31 Oct 2023 Marco Giordano, Silvano Cortesi, Prodromos-Vasileios Mekikis, Michele Crabolu, Giovanni Bellusci, Michele Magno

In the ever-growing Internet of Things (IoT) landscape, smart power management algorithms combined with energy harvesting solutions are crucial to obtain self-sustainability.

Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System

no code implementations23 Oct 2023 Silvano Cortesi, Marc Dreher, Michele Magno

Experimental evaluation with the real-time data processing has been evaluated and presented in a 7. 2 m by 7. 2 m room with furniture and 5 beacon nodes.

Indoor Localization

Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MiniRocket on Resource-Constrained Devices

no code implementations23 Oct 2023 Marco Giordano, Silvano Cortesi, Michele Crabolu, Lavinia Pedrollo, Giovanni Bellusci, Tommaso Bendinelli, Engin Türetken, Andrea Dunbar, Michele Magno

Known for its accuracy, scalability, and fast training for time-series classification, in this paper, it is proposed as a TinyML algorithm for inference on resource-constrained IoT devices.

Time Series Classification

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