3134873 documents found, page 313151 of 313488

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An Efficient Mechanism for Establishing IP Connectivity in Next Generation Netw...

Manuel Ricardo; Rui Lopes Campos

The changes in the communication paradigm envisioned for next-generation networks (NGNs), with peer-to-peer/symmetric attachments gaining momentum and two Internet Protocol (IP) versions coexisting, will pose new challenges to mobile communication networks. Traditional IP auto-configuration mechanisms will not work properly, since they were designed mostly having in mind a client-server/asymmetric attachment mo...

Date: 2010   |   Origin: INESC TEC

A linear algebra approach to OLAP

Macedo,HD; José Nuno Oliveira

Inspired by the relational algebra of data processing, this paper addresses the foundations of data analytical processing from a linear algebra perspective. The paper investigates, in particular, how aggregation operations such as cross tabulations and data cubes essential to quantitative analysis of data can be expressed solely in terms of matrix multiplication, transposition and the Khatri-Rao variant of the ...

Date: 2015   |   Origin: INESC TEC

A Feature-based Classification of Model Repair Approaches

Nuno Moreira Macedo; Tiago,Jorge; Alcino Cunha

Date: 2016   |   Origin: INESC TEC

Fading histograms in detecting distribution and concept changes

Raquel Sebastião; João Gama; Mendonça,T

Date: 2017   |   Origin: INESC TEC

Short wavelength Raman spectroscopy applied to the discrimination and character...

Gouvinhas,I; Machado,N; Carvalho,T; José Almeida; Barros,AIRNA

Extra virgin olive oils produced from three cultivars on different maturation stages were characterized using Raman spectroscopy. Chemometric methods (principal component analysis, discriminant analysis, principal component regression and partial least squares regression) applied to Raman spectral data were utilized to evaluate and quantify the statistical differences between cultivars and their ripening proces...

Date: 2015   |   Origin: INESC TEC

Compressive Spatio-Temporal Forecasting of Meteorological Quantities and Photov...

Tascikaraoglu,A; Sanandaji,BM; Chicco,G; Cocina,V; Spertino,F; Erdinc,O; Paterakis,NG; João Catalão

This paper presents a solar power forecasting scheme, which uses spatial and temporal time series data along with a photovoltaic (PV) power conversion model. The PV conversion model uses the forecast of three different variables, namely, irradiance on the tilted plane, ambient temperature, and wind speed, in order to estimate the power produced by a PV plant at the grid connection terminals. The forecast values...

Date: 2016   |   Origin: INESC TEC

Sensing Structure Based on Surface Plasmon Resonance in Chemically Etched Singl...

Luís Carlos Coelho; José Almeida; Santos,JL; Ferreira,RAS; Andre,PS; Diana Viegas

Many optical systems based on surface plasmon resonance (SPR) have been developed for working as refractometers, chemical sensors or even for measuring the thickness of metal and dielectric thin films. Sensors based on SPR present very high sensitivity to refractive index (RI) variations when compared to the traditional RI sensors. However, these kinds of systems are usually large, expensive and therefore canno...

Date: 2015   |   Origin: INESC TEC

Wivern: a Web-Based System Enabling Computer-Aided Diagnosis and Interdisciplin...

Novo,J; Rouco,J; Barreira,N; Ortega,M; Penedo,MG; Aurélio Campilho

A complete analysis of the vascular system is a complex task since a large number of parameters are involved. In the research herein reported we present a novel medical framework called web-based integration for vascular expert research networks (Wivern) to be used in a multi-clinical department environment for the analysis of micro and macrocirculation. This tool can manage clinical information of several spec...

Date: 2017   |   Origin: INESC TEC

Evaluation of Multiclass Novelty Detection Algorithms for Data Streams

de Faria,ER; Goncalves,IR; João Gama; de Leon Ferreira Carvalho,ACPDF

Data stream mining is an emergent research area that investigates knowledge extraction from large amounts of continuously generated data, produced by non-stationary distribution. Novelty detection, the ability to identify new or previously unknown situations, is a useful ability for learning systems, especially when dealing with data streams, where concepts may appear, disappear, or evolve over time. There are ...

Date: 2015   |   Origin: INESC TEC

Retinal image quality assessment by mean-subtracted contrast-normalized coeffic...

Adrian Galdran; Teresa Finisterra Araújo; Ana Maria Mendonça; Aurélio Campilho

The automatic assessment of visual quality on images of the eye fundus is an important task in retinal image analysis. A novel quality assessment technique is proposed in this paper. We propose to compute Mean-Subtracted Contrast-Normalized (MSCN) coefficients on local spatial neighborhoods of a given image and analyze their distribution. It is known that for natural images, such distribution behaves normally, ...

Date: 2018   |   Origin: INESC TEC

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