Search

Your search keyword '"Daniel J. Rosa-Gallardo"' showing total 3 results
Start Over Author "Daniel J. Rosa-Gallardo"
3 results on '"Daniel J. Rosa-Gallardo"'

1. NESIM-RT: A real-time distributed spiking neural network simulator

Author

Daniel J. Rosa-Gallardo, Juan Carlos de la Torre, Fernando M. Quintana, Juan P. Dominguez-Morales, and Fernando Perez-Peña

Subjects
Neuromorphic engineering, Spiking neural networks, Simulation, Computer software, QA76.75-76.765
Abstract

The neuromorphic engineering field aims to mimic complex biological structures by means of mathematical models, implementing them in either analog or digital circuits. These models include the dynamic characteristics of biological neurons and synapses, which are interconnected creating spiking neural networks. These are first simulated using software frameworks in order to verify the expected behavior of the implemented model. In this work, a novel software, called NESIM-RT, for simulating spiking neural networks in real time is presented. A friendly user interface allows users to design and modify the network, together with visualising its output in real time. A novel implementation of the MDHCP protocol is proposed to support online changes in the network together with allowing the simulation in a many-cores distributed architecture. The performance of the proposed software is compared with other widely-used simulators in the neuromorphic engineering field, highlighting the advantages in terms of latencies and network scalability. NESIM-RT also allows exporting the SNN model directly to SpiNNaker, enabling an immediate transition between software simulation and hardware implementation.

Published
2023
Full Text
View/download PDF

3. Sustainable WAsTe Collection (SWAT): One Step Towards Smart and Spotless Cities

Author

Guadalupe Ortiz, Daniel J. Rosa-Gallardo, Alfonso Garcia-de-Prado, and Juan Boubeta-Puig

Subjects
computer.internet_protocol, Computer science, business.industry, Waste collection, 02 engineering and technology, Service-oriented architecture, 010501 environmental sciences, Environmental economics, Container status, 01 natural sciences, Unexpected events, Container (abstract data type), 0202 electrical engineering, electronic engineering, information engineering, Sustainable waste management, 020201 artificial intelligence & image processing, Internet of Things, business, computer, 0105 earth and related environmental sciences, Waste disposal
Abstract

For decades, urban areas have been faced with the huge challenge of waste disposal and collection. Even though developed countries have tackled this matter from multiple perspectives, some issues remain unsolved when talking about sustainable smart cities. In particular, waste collection and transportation routes are mostly planned statically, without bearing in mind real-time container capacity, as well as other unexpected events which might be of interest – for example, a blocked container lid or fire inside the container. In this paper, we propose a service-oriented sustainable solution to these problems based on the use of novel technologies which will provide us with real-time information and instant notifications of any issues related to waste containers and their collection. This way, thanks to the offered real-time services for the Internet of Things, local governments and official bodies will save resources and time. Even more, citizens will also have easy access to such services and information and therefore will benefit from real-time awareness about the container status.

Published
2018

Catalog

Books, media, physical & digital resources
See catalog results