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Vehicle Classification using the Discrete Fourier Transform with Traffic Inductive Sensors
(Multidisciplinary Digital Publishing Institute, 2015)
[Abstract] Inductive Loop Detectors (ILDs) are the most commonly used sensors in traffic management systems. This paper shows that some spectral features extracted from the Fourier Transform (FT) of inductive signatures ...
Inductive loops for traffic control
(2015-09)
Inductive Loop Detectors (ILDs) are the most commonly used sensors in traffic management
systems. This work provides a system capable of obtaining simultaneous inductive
signatures of vehicles traveling on a roadway with ...
SiDIVS: Simple Detection of Inductive Vehicle Signatures with a Multiplex Resonant Sensor
(Multidisciplinary Digital Publishing Institute, 2016)
This work provides a system capable of obtaining simultaneous inductive signatures of vehicles traveling on a roadway with minimal cost. Based on Time-Division Multiplexing (TDM) with multiple oscillators, one for each ...
Calculation of the Connected Dominating Set Considering Vertex Importance Metrics
(M D P I AG, 2018-01-28)
[Abstract] The computation of a set constituted by few vertices to define a virtual backbone supporting information interchange is a problem that arises in many areas when analysing networks of different natures, like ...
New Computation of Resolving Connected Dominating Sets in Weighted Networks
(M D P I AG, 2019-11-29)
[Abstract] In this paper we focus on the issue related to finding the resolving connected dominating sets (RCDSs) of a graph, denoted by G. The connected dominating set (CDS) is a connected subset of vertices of G selected ...
Eye State Identification Based on Discrete Wavelet Transforms
(MDPI, 2021)
[Abstract]: We present a prototype to identify eye states from electroencephalography signals captured from one or two channels. The hardware is based on the integration of low-cost components, while the signal processing ...
Study of Machine Learning Techniques for EEG Eye State Detection
(MDPI AG, 2020-08-31)
[Abstract]
A comparison of different machine learning techniques for eye state identification through Electroencephalography (EEG) signals is presented in this paper. (1) Background: We extend our previous work by studying ...
A Comparative Study of Low Cost Open Source EEG Devices
(MDPI AG, 2019-08-05)
[Abstract] A comparison of two open source electroencephalography devices designed to acquire signals associated to the brain activity is presented in this work. The experiments are developed considering the task of ...
Brain-Computer Interfaces for Internet of Things
(M D P I AG, 2018-09-17)
[Abstract] A brain-computer interface for controlling elements commonly used at home is presented in this paper. It includes the electroencephalography device needed to acquire signals associated to the brain activity, the ...
Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces
(MDPI AG, 2021-03-22)
[Abstract]
Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated ...