Search results for "methodologies"
showing 10 items of 2106 documents
The importance of definitions in the study of polyQ regions: A tale of thresholds, impurities and sequence context
2020
Graphical abstract
A2Ba: Adaptive Background Modelling for Visual Aerial Surveillance Conditions
2015
International audience; Background modelling algorithms are widely used to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring. Set up a background model on mobile platforms (UAVs, intelligent cars, etc.) is a challenging task due camera motion when images are acquired. In this paper, we propose A2Ba, a robust method to support instabilities caused by aerial images fusing different information about image motion. We used frame difference as first approximation, then age of pixels is estimated. This latter gives us an invariability level of a pixel over time. Gradient di…
kLa MEASUREMENT IN BIOREACTORS
2010
For accurately measuring kLa in bioreactors the dynamic pressure method (DPM) was introduced by Linek et al. (1993). In this work a simplified version of the same method is discussed. With respect to the original DPM, the simplified version greatly simplifies data treatment. In fact final constant slope observable in the usual semi-log diagram of residual driving force versus time may be simply corrected to obtain the real kLa value with negligible inaccuracy. Experimental data obtained on a lab-size stirred tank reactor confirm all model predictions, including the feature that the adoption of large pressure changes may lead to a better accuracy.
Fabrication and characterization of Metal and Metal Oxide Nanostructures Grown by metal displacement deposition into anodic alumina membranes
2011
Abstract preview not available - see full-text PDF article.
Vortex shape in unbaffled stirred vessels: experimental study via digital image analysis
2011
There is a growing interest in using unbaffled stirred tanks for addressing certain processing needs. In this work, digital image analysis coupled with a suitable shadowgraphy-based technique is used to investigate the shape of the free-surface vortex that forms in uncovered unbaffled stirred tanks. The technique is based on back-lighting the vessel and suitably averaging vortex shape over time. Impeller clearance from vessel bottom and tank filling level are varied to investigate their influence on vortex shape. A correlation is finally proposed to fully describe vortex shape also when the vortex encompasses the impeller.
A Conceptual Framework for Using and Evaluating Web-Based Learning Resources in School Education
2010
Published version of an article from the journal:Journal of Information Technology Education. Also available from the publisher: http://www.jite.org/documents/Vol9/JITEv9p053-079Hadjerrouit743.pdf Web-based learning resources (WBLRs) have provided teachers with a wide range of new teachingexperiences that are not possible in traditional classroom. However, little research has beendone as to which approach to WBLRs is suitable to address issues that are pertinent to learning.This paper proposes a conceptual framework to explore the design and evaluation of WBLRs inschool education. The paper also examines the way in which the framework is used to evaluatestudents? and teachers? perceptions o…
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…
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 …
A web-based collection of genotype-phenotype associations in hereditary recurrent fevers from the Eurofever registry
2017
PubMed ID: 29047407
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…