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Rafael Navas-González, Óscar Oballe-Peinado, Julián Castellanos-Ramos, Daniel Rosas-Cervantes and José A. Sánchez-Durán
This work presents examples of practice sessions to teach and learn digital electronics using an FPGA-based development platform, accessible either through the on-campus laboratory or online using a remote laboratory developed by the authors. The main ta...
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Fatima Zahra Guerrouj, Sergio Rodríguez Flórez, Mohamed Abouzahir, Abdelhafid El Ouardi and Mustapha Ramzi
Convolutional Neural Networks (CNNs) have been incredibly effective for object detection tasks. YOLOv4 is a state-of-the-art object detection algorithm designed for embedded systems. It is based on YOLOv3 and has improved accuracy, speed, and robustness....
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Maria Inês Frutuoso, Horácio C. Neto, Mário P. Véstias and Rui Policarpo Duarte
Wearable devices used for personal monitoring applications have been improved over the last decades. However, these devices are limited in terms of size, processing capability and power consumption. This paper proposes an efficient hardware/software embe...
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Cataldo Guaragnella, Agostino Giorgio and Maria Rizzi
Structures for the evaluation of fast Fourier transforms are important components in several signal-processing applications and communication systems. Their capabilities play a key role in the performance enhancement of the whole system in which they are...
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Miaomiao Yuan, Zhuneng Fang, Peng Xiao, Ruijin Tong, Min Zhang and Yule Huang
Real-time systems for measuring structural cracks are of great significance due to their computational and cost efficacy, inherent hazards, and detection discrepancies associated with the manual visual assessment of structures. The precision and effectiv...
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Mikhail Lavrentiev, Konstantin Lysakov, Andrey Marchuk, Konstantin Oblaukhov and Mikhail Shadrin
Carbon footprint reduction issues have been drawing more and more attention these days. Reducing the energy consumption is among the basic directions along this line. In the paper, a low-energy approach to tsunami danger evaluation is concerned. After se...
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Iouliia Skliarova
This paper proposes a Field-Programmable Gate Array (FPGA)-based hardware accelerator for assisting the embedded MicroBlaze soft-core processor in calculating population count. The population count is frequently required to be executed in cyber-physical ...
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Faraz Bhatti and Thomas Greiner
Plenoptic camera based system captures the light-field that can be exploited to estimate the 3D depth of the scene. This process generally consists of a significant number of recurrent operations, and thus requires high computation power. General purpose...
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Kiruki Cosmas and Asami Kenichi
In the recent past, research on the utilization of deep learning algorithms for space applications has been widespread. One of the areas where such algorithms are gaining attention is in spacecraft pose estimation, which is a fundamental requirement in m...
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Sarah Pilz, Florian Porrmann, Martin Kaiser, Jens Hagemeyer, James M. Hogan and Ulrich Rückert
This paper is concerned with Field Programmable Gate Arrays (FPGA)-based systems for energy-efficient high-throughput string comparison. Modern applications which involve comparisons across large data sets?such as large sequence sets in molecular biology...
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