Search results for "Processing"
showing 10 items of 8572 documents
Usages des technologies par les élèves professeurs : analyse à partir de questionnaires
2005
This article studies the appropriation and the uses of technologies by French student teachers. The methodology used is based on the analysis of answers to questionnaires submitted to the trainees of four “instituts universitaires de formation des maîtres” (teacher training schools). The results obtained tend to prove that outside the classroom trainee teachers are today well equipped and really competent as far as personal and professional uses of technologies are concerned. However, it appears that these skills are not taken advantage of in the presence of the pupils.
Measuring Aksak Rhythm and Synchronization in Transylvanian Village Music by Using Motion Capture
2015
<p>Techniques based on motion capture can be useful in <span><span style="font-size: x-small;">analyzing a wide range of musical styles and practices</span></span>: in this case, Transylvanian village music. We focused on a repertoire known as “Gypsy songs of sorrow”, played by professional Gypsy musicians during parties and celebrations of their own community. Two parameters were the object of study: rhythmic duration, and synchronization between musicians (a violinist and a viola player). Results show that rhythm is a local variant of <em>aksak</em> and is based on two duration units (S=short, L=long) which respect the formula 2:3 &lt; S:L &am…
High Performance 3D PET Reconstruction Using Spherical Basis Functions on a Polar Grid
2011
Statistical iterative methods are a widely used method of image reconstruction in emission tomography. Traditionally, the image space is modelled as a combination of cubic voxels as a matter of simplicity. After reconstruction, images are routinely filtered to reduce statistical noise at the cost of spatial resolution degradation. An alternative to produce lower noise during reconstruction is to model the image space with spherical basis functions. These basis functions overlap in space producing a significantly large number of non-zero elements in the system response matrix (SRM) to store, which additionally leads to long reconstruction times. These two problems are partly overcome by expl…
Skin Parameter Map Retrieval from a Dedicated Multispectral Imaging System Applied to Dermatology/Cosmetology
2013
International audience; In vivo quantitative assessment of skin lesions is an important step in the evaluation of skin condition. An objective measurement device can help as a valuable tool for skin analysis. We propose an explorative new multispectral camera specifically developed for dermatology/cosmetology applications. The multispectral imaging system provides images of skin reflectance at different wavebands covering visible and near-infrared domain. It is coupled with a neural network-based algorithm for the reconstruction of reflectance cube of cutaneous data. This cube contains only skin optical reflectance spectrum in each pixel of the bidimensional spatial information. The reflect…
Image Segmentation Techniques for Healthcare Systems
2019
The present special issue of the Journal of Healthcare Engineering collects articles written by researchers scattered around the world who belong to the academic and industrial environments. The papers of this special issue have been selected by a rigorous peer-reviewing process with the support of at least two reviewers per paper, along with the opinion written in the final decision by a component of the editorial staff. Different methods on biomedical image segmentation dedicated to healthcare systems have been developed regarding, for example, the fields of machine learning, deformable models, fuzzy models, and so on. Such methods have been applied on different biomedical image modalitie…
Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis.
2020
AbstractBackgroundNonnegative matrix factorization (NMF) has been successfully used for electroencephalography (EEG) spectral analysis. Since NMF was proposed in the 1990s, many adaptive algorithms have been developed. However, the performance of their use in EEG data analysis has not been fully compared. Here, we provide a comparison of four NMF algorithms in terms of accuracy of estimation, stability (repeatability of the results) and time complexity of algorithms with simulated data. In the practical application of NMF algorithms, stability plays an important role, which was an emphasis in the comparison. A Hierarchical clustering algorithm was implemented to evaluate the stability of NM…
A novel solution based on scale invariant feature transform descriptors and deep learning for the detection of suspicious regions in mammogram images.
2020
Background: Deep learning methods have become popular for their high-performance rate in the classification and detection of events in computer vision tasks. Transfer learning paradigm is widely adopted to apply pretrained convolutional neural network (CNN) on medical domains overcoming the problem of the scarcity of public datasets. Some investigations to assess transfer learning knowledge inference abilities in the context of mammogram screening and possible combinations with unsupervised techniques are in progress. Methods: We propose a novel technique for the detection of suspicious regions in mammograms that consist of the combination of two approaches based on scale invariant feature …
La competencia textual y mediática en el aula de ELE
2017
Resumen: La habilidad de comprender y producir textos es una de las competencias basicas en la sociedad de la informacion y de la comunicacion (OECD, 2000). Sin embargo, el concepto texto ha evolucionado adquiriendo una versatilidad que rebasa la concepcion tradicional de texto escrito. Para superar este desfase al que la competencia lectora o las destrezas en la comprension y/o expresion oral no llegan, se propone desde Alemania el termino competencia textual y mediatica [1] . La finalidad de esta comunicacion es reflexionar sobre la importancia de esta nueva competencia y dotar al profesorado de herramientas en el tratamiento de la competencia textual en el aula de ELE. Para ello, present…
Editorial to the ‘Special Issue—Solar Photovoltaic System Engineering’ of AIMS Energy
2020
Does Holistic Processing Require a Large Brain? Insights From Honeybees and Wasps in Fine Visual Recognition Tasks
2018
The expertise of humans for recognizing faces is largely based on holistic processing mechanism, a sophisticated cognitive process that develops with visual experience. The various visual features of a face are thus glued together and treated by the brain as a unique stimulus, facilitating robust recognition. Holistic processing is known to facilitate fine discrimination of highly similar visual stimuli, and involves specialized brain areas in humans and other primates. Although holistic processing is most typically employed with face stimuli, subjects can also learn to apply similar image analysis mechanisms when gaining expertise in discriminating novel visual objects, like becoming exper…