Search results for "computer.software_genre"
showing 10 items of 3858 documents
The neural basis of sublexical speech and corresponding nonspeech processing: a combined EEG-MEG study.
2014
Abstract We addressed the neural organization of speech versus nonspeech sound processing by investigating preattentive cortical auditory processing of changes in five features of a consonant–vowel syllable (consonant, vowel, sound duration, frequency, and intensity) and their acoustically matched nonspeech counterparts in a simultaneous EEG–MEG recording of mismatch negativity (MMN/MMNm). Overall, speech–sound processing was enhanced compared to nonspeech sound processing. This effect was strongest for changes which affect word meaning (consonant, vowel, and vowel duration) in the left and for the vowel identity change in the right hemisphere also. Furthermore, in the right hemisphere, spe…
The representation of segmental information: an fMRI investigation of the consonant-vowel distinction
2004
Harvard University, Cambridge, MA, USAAvailable online 23 July 2004IntroductionRecent studies suggest that consonants and vowels are repre-sented separately in cognitive/neural space. Much of the evidencecomes from research on dysgraphia (for review, see Miceli & Cap-asso, submitted). In the first place, letter substitution errors preservethe consonant/vowel (CV) status of the target (e.g., cinema fi ciremaor cinoma, but not cintma). Second, there are reports of selectiveimpairment for consonants or vowels. Additional evidence comesfrom disorders of phonology, demonstrating the dissociability be-tween consonants and vowels (Caramazza, Chialant, Capasso, Mthe ISI was variable (mean 6.75 s). Th…
Constraint Management in Engineering of Complex Information Systems
2009
We propose to build an engineering environment for information systems by using metamodels, OCL and symbolic model checkers to manage constraints. Our proposal is based on a definition of constraints as 3D spaces with dimensions corresponding to UML diagrams, constructs, and abstraction levels. We show how such environments can help with engineering quality complex systems by allowing to lift up a part of constraint verifications.
Streaming: ventajas, desafíos y oportunidades de las radiotelevisiones para captar audiencias
2021
La investigación muestra el crecimiento del consumo de streaming en los últimos años y refleja su incremento exponencial a raíz de la pandemia por la Covid 19 en 2020. La base científica cita a los autores más relevantes en esta temática y está avalada por los estudios e informes de organismos oficiales y privados de relevancia internacional. Se estudia el origen del streaming, su evolución y futuro con la ayuda de las nuevas herramientas tecnológicas, como las appsque permiten a los periodistas y al público poder entrar en directo en un informativo. Ello suponenuevas oportunidades de negocio para las radiotelevisiones generalistas creadoras de contenido en España. La investigación muestra …
Machine learning methods to forecast temperature in buildings
2013
Efficient management of energy in buildings saves a very important amount of resources (both economic and technological). As a consequence, there is a very active research in this field. One of the keys of energy management is the prediction of the variables that directly affect building energy consumption and personal comfort. Among these variables, one can highlight the temperature in each room of a building. In this work we apply different machine learning techniques along with other classical ones for predicting the temperatures in different rooms. The obtained results demonstrate the validity of these techniques for predicting temperatures and, therefore, for the establishment of optim…
Social Media News: Motivation, Purpose and Usage
2013
This paper presents the results of an online survey which was conducted to analyse the use of social web in the context of daily news. Users' motivation and habit in the news consumption were focused. Moreover, users' news behaviour was distinguished in three purposes such news consumption, news production and news dissemination to find out if the usage has a passive or active character. In a second step it was questioned which social software is used for which purpose. In conclusion users appreciate social software for features such as interactivity and information that traditional media does not provide. Among the social web platforms users prefer social networking sites as well as videos…
Tool Support for Model Driven Development of Pervasive Systems
2007
This work presents the PervML Generative Tool (PervGT) that supports a model driven method for the development of pervasive services in ubiquitous environments. The tool, which is based on the Eclipse platform, provides facilities for the graphical description of pervasive systems using PervML, a UML-like modeling language. Once the pervasive system is specified, the PervML model is used as input to a transformation engine that generates source code and other implementation assets. This generated code extends an OSGi-based framework in order to build the final pervasive applications
Support Vector Machines for Crop Classification Using Hyperspectral Data
2003
In this communication, we propose the use of Support Vector Machines (SVM) for crop classification using hyperspectral images. SVM are benchmarked to well–known neural networks such as multilayer perceptrons (MLP), Radial Basis Functions (RBF) and Co-Active Neural Fuzzy Inference Systems (CANFIS). Models are analyzed in terms of efficiency and robustness, which is tested according to their suitability to real–time working conditions whenever a preprocessing stage is not possible. This can be simulated by considering models with and without a preprocessing stage. Four scenarios (128, 6, 3 and 2 bands) are thus evaluated. Several conclusions are drawn: (1) SVM yield better outcomes than neura…
The indexing of persons in news sequences using audio-visual data
2004
We describe a video indexing system that automatically searches for a specific person in a news sequence. The proposed approach combines audio and video confidence values extracted from speaker and face recognition analysis. The system also incorporates a shot selection module that seeks for anchors, where the person on the scene is likely speaking. The system has been extensively tested on several news sequences with very good recognition rates.
Kernels for Remote Sensing Image Classification
2015
Classification of images acquired by airborne and satellite sensors is a very challenging problem. These remotely sensed images usually acquire information from the scene at different wavelengths or spectral channels. The main problems involved are related to the high dimensionality of the data to be classified and the very few existing labeled samples, the diverse noise sources involved in the acquisition process, the intrinsic nonlinearity and non-Gaussianity of the data distribution in feature spaces, and the high computational cost involved to process big data cubes in near real time. The framework of statistical learning in general, and of kernel methods in particular, has gained popul…