Search results for "FP"
showing 10 items of 297 documents
Clustering of waveforms based on FPCA direction
2010
Looking for curves similarity could be a complex issue characterized by subjective choices related to continuous transformations of observed discrete data (Chiodi, 1989). Waveforms correlation techniques have been introduced to charac- terize the degree of seismic event similarity (Menke, 1999) and in facilitating more accurate relative locations within similar event clusters by providing more precise timing of seismic wave (P and S) arrivals (Phillips, 1997). In this paper functional analysis (Ramsey, and Silverman, 2006) is considered to highlight common characteristics of waveforms-data and to summarize these charac- teristics by few components, by applying a variant of a classical clust…
Space-time FPCA Algorithm for clustering of multidimensional curves.
2016
In this paper we focus on finding clusters of multidimensional curves with spatio-temporal structure, applying a variant of a k-means algorithm based on the principal component rotation of data. The main advantage of this approach is to combine the clustering functional analysis of the multidimensional data, with smoothing methods based on generalized additive models, that cope with both the spatial and the temporal variability, and with functional principal components that takes into account the dependency between the curves.
Functional Principal components direction to cluster earthquake waveforms
2010
Looking for curves similarity could be a complex issue characterized by subjective choices related to continuous transformations of observed discrete data (Chiodi, 1989). In this paper we combine the aim of finding clusters from a set of individual curves to the functional nature of data, applying a variant of a k-means algorithm based on the principal component rotation of data. We apply a classical clustering method to rotated data, according to the direction of maximum variance. A k-means clustering algorithm based on PCA rotation of data is proposed, as an alternative to methods that require previous interpolation of data based on splines or linear fitting (Garc´ıa- Escudero and Gordali…
FPCA Algorithm For Waveform Clustering
2011
Similar features between waveform data recorded for earthquakes at different time instants could suggest similar behavior of the source process of the corresponding source seismic process. In this paper we combine the aim of finding clusters from a set of individual waveform curves with the functional nature of data, applying a variant of a k-means algorithm based on the principal component rotation of data. This approach overcome the limitation of the cross-correlation, and represents an alternative to methods based on the interpolation of data by splines or linear fitting.
Nestriktas klasterizācijas metodes un to salīdzināšana
2022
Šis darbs ir veltīts piecām klasterizācijas metodēm: K-vidējo klasterizācijas algoritms, C-vidējo nestriktas klasterizācijas algoritms, iespējamību C-vidējo klasterizācijas algoritms, nestrikto iespējamību C-vidējo klasterizācijas algoritms un iespējamību C-vidējo nestriktas klasterizācijas algoritms. Darbs satur šo algoritmu aprakstu un salīdzināšanu, ņemot par pamatu datu klasterizācijas rezultātus. Ir aprakstīta pieeja iespējamību nestriktas klasterizācijas algoritma vispārinājumam.
The fertility problem inventory (FPI): a validation study of the Italian version
2013
Hyperspectral imaging of asteroids using an FPI-based sensor
2021
The compositions of asteroids are of interest for the planetary sciences, mining, and planetary defense. The main method for evaluating these compositions is reflectance spectroscopy. Spectroscopic measurements performed from Earth can not resolve how different materials are distributed on the asteroids, making flyby-- and rendezvous missions necessary for obtaining detailed information. Using the CubeSat platform could reduce the costs of these missions, but it also sets constraints on the payload mass and volume. One small and light instrument capable of producing spatially resolved spectral data is a hyperspectral imager based on the Fabry-Perot interferometer. We propose a method of cal…
Efectos de los inhibidores de PDE4 en la remodelación celular de modelos in vitro de Fibrosis Pulmonar Idiopática y Enfermedad Pulmonar Obstructiva C…
2018
La enzima PDE4 se ha visto involucrada en las enfermedades crónicas respiratorias. Además, se ha visto que otras enzimas involucradas en inflamación, como la PDE5 en FPI, o en la migración celular y resistencia a corticosteroides, como PI3Kδ en EPOC, ejercen un papel importante en la gravedad y proceso molecular de la enfermedad. Actualmente, roflumilast, un inhibidor de PDE4, ha sido aprobado para el tratamiento de pacientes con EPOC que poseen un historial de exacerbaciones aguadas. El papel de este inhibidor sobre las células involucradas en la FPI y en EPOC severa no ha sido estudiado. Recientemente, se demostrado que la combinación de inhibidores PDE4 y PDE5, disminuye el perfil fibrót…
Resource-efficient hardware implementation of a neural-based node for automatic fingerprint classification
2017
Modern mobile communication networks and Internet of Things are paving the way to ubiquitous and mobile computing. On the other hand, several new computing paradigms, such as edge computing, demand for high computational capabilities on specific network nodes. Ubiquitous environments require a large number of distributed user identification nodes enabling a secure platform for resources, services and information management. Biometric systems represent a useful option to the typical identification systems. An accurate automatic fingerprint classification module provides a valuable indexing scheme that allows for effective matching in large fingerprint databases. In this work, an efficient em…
Cruzando las fronteras en la FP: preocupaciones pedagógicas y demandas del mercado
2019
Congreso organizado por Fernando Marhuenda y Maria Jose Chisvert de la Universitat de Valencia (Espana) del “Grupo de Investigacion Transiciones de la educacion al trabajo en contextos de vulnerabilidad social” (TRANSICIONS-GIUV2013-093), en cooperacion con el Institute for Vocational Education, University of Rostock (Alemania), y con el respaldo de la European Research Network on Vocational Education and Training (VETNET). Subvencionada por la propia Universidad y la Fundacion Bankia. Realizado: 2 y 3 de mayo de 2019 en la Universitat de Valencia, Espana .