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Mostrando ítems 11-20 de 46
Artículo
Embedded neural network for real-time animal behavior classification
(Elsevier, 2018)
Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain animals’ behavior information, resources like wireless sensor networks are needed. More- over, large ...
Ponencia
Sound Recognition System Using Spiking and MLP Neural Networks
(Springer, 2016)
In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System for feature extraction and an artificial neural network for classification. Two models of neural ...
Ponencia
On the Designing of Spikes Band-Pass Filters for FPGA
(Springer, 2011)
In this paper we present two implementations of spike-based bandpass filters, which are able to reject out-of-band frequency components in the spike domain. First one is based on the use of previously designed ...
Ponencia
Performance study of synthetic AER generation on CPUs for Real-Time Video based on Spikes
(ACM Digital Library, 2009-07)
Address-Event-Representation (AER) is a neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. When building multi-chip ...
Ponencia
Live demonstration — Multilayer spiking neural network for audio samples classification using SpiNNaker
(IEEE Computer Society, 2017)
In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. The network consists of different leaky integrate-and-fire neuron layers. The connections between ...
Ponencia
On the AER Stereo-Vision Processing: A Spike Approach to Epipolar Matching
(Springer, 2013)
Image processing in digital computer systems usually considers visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...
Ponencia
Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA
(IEEE Computer Society, 2018)
Neural networks algorithms are commonly used to recognize patterns from different data sources such as audio or vision. In image recognition, Convolutional Neural Networks are one of the most effective techniques due ...
Ponencia
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices
(ScitePress Digital Library, 2019)
Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ubiquitous tool for monitoring and alert when these events happen. Recurrent Neural Networks (RNN) are ...
Ponencia
Entrenamiento de la creatividad y la innovación en la ingeniería de computadores basándose en la metodología de aprendizaje por proyectos
(AENUI: Asociación de Enseñantes Universitarios de Informática, 2011)
En los estudios de Ingeniería normalmente se instruye en competencias sobre diseño, en las que es fundamental conocer las tecnologías y herramientas correspondientes a la materia en que el alumno se especializa. Los problemas ...
Ponencia
Práctica de desarrollo de interfaces hardware/software para el manejo de sensores de redes inalámbricas
(AENUI: Asociación de Enseñantes Universitarios de Informática, 2011)
En este artículo se describe una práctica de laboratorio en la que se ilustran los mecanismos necesarios para implementar redes de sensores inalámbricos y la comunicación hardware/software en un PC. En los últimos ...