Search Results for author: Jose Nunez-Yanez

Found 5 papers, 2 papers with code

Advanced Millimeter-Wave Radar System for Real-Time Multiple Human Tracking and Fall Detection

no code implementations8 Mar 2024 Zichao Shen, Jiacheng Wu, Jose Nunez-Yanez, Naim Dahnoun

Our prototype system exhibits remarkable performance, achieving a precision of 98. 9% for tracking a single target and 96. 5% and 94. 0% for tracking two and three targets in human tracking scenarios, respectively.

Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors

1 code implementation19 Apr 2023 Zichao Shen, Neil Howard, Jose Nunez-Yanez

This paper investigates the energy savings that near-subthreshold processors can obtain in edge AI applications and proposes strategies to improve them while maintaining the accuracy of the application.

Human Activity Recognition

Dynamically Reconfigurable Variable-precision Sparse-Dense Matrix Acceleration in Tensorflow Lite

no code implementations17 Apr 2023 Jose Nunez-Yanez, Andres Otero, Eduardo de la Torre

In this paper, we present a dynamically reconfigurable hardware accelerator called FADES (Fused Architecture for DEnse and Sparse matrices).

High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip

1 code implementation20 Aug 2020 Kris Nikov, Mohammad Hosseinabady, Rafael Asenjo, Andrés Rodríguezz, Angeles Navarro, Jose Nunez-Yanez

This paper presents a methodology for simultaneous heterogeneous computing, named ENEAC, where a quad core ARM Cortex-A53 CPU works in tandem with a preprogrammed on-board FPGA accelerator.

Distributed, Parallel, and Cluster Computing Hardware Architecture Performance

Run-Time Power Modelling in Embedded GPUs with Dynamic Voltage and Frequency Scaling

no code implementations19 Jun 2020 Jose Nunez-Yanez, Kris Nikov, Kerstin Eder, Mohammad Hosseinabady

This paper investigates the application of a robust CPU-based power modelling methodology that performs an automatic search of explanatory events derived from performance counters to embedded GPUs.

Other Computer Science

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