8,439 research outputs found
Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors
Auscultation is one of the most used techniques for
detecting cardiovascular diseases, which is one of the main causes
of death in the world. Heart murmurs are the most common abnormal
finding when a patient visits the physician for auscultation.
These heart sounds can either be innocent, which are harmless, or
abnormal, which may be a sign of a more serious heart condition.
However, the accuracy rate of primary care physicians and expert
cardiologists when auscultating is not good enough to avoid most
of both type-I (healthy patients are sent for echocardiogram) and
type-II (pathological patients are sent home without medication or
treatment) errors made. In this paper, the authors present a novel
convolutional neural network based tool for classifying between
healthy people and pathological patients using a neuromorphic
auditory sensor for FPGA that is able to decompose the audio into
frequency bands in real time. For this purpose, different networks
have been trained with the heart murmur information contained in
heart sound recordings obtained from nine different heart sound
databases sourced from multiple research groups. These samples
are segmented and preprocessed using the neuromorphic auditory
sensor to decompose their audio information into frequency
bands and, after that, sonogram images with the same size are
generated. These images have been used to train and test different
convolutional neural network architectures. The best results
have been obtained with a modified version of the AlexNet model,
achieving 97% accuracy (specificity: 95.12%, sensitivity: 93.20%,
PhysioNet/CinC Challenge 2016 score: 0.9416). This tool could aid
cardiologists and primary care physicians in the auscultation process,
improving the decision making task and reducing type-I and
type-II errors.Ministerio de Economía y Competitividad TEC2016-77785-
NAVIS: Neuromorphic Auditory VISualizer Tool
This software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors (NAS) information. The used NAS implements in FPGA a cascade filters architecture, imitating the behavior of the basilar membrane and inner hair cells and working with the sound information decomposed into its frequency components as spike streams. The well-known neuromorphic hardware interface Address-Event-Representation (AER) is used to propagate auditory information out of the NAS, emulating the auditory vestibular nerve. Using the information packetized into aedat files, which are generated through the jAER software plus an AER to USB computer interface, NAVIS implements a set of graphs that allows to represent the auditory information as cochleograms, histograms, sonograms, etc. It can also split the auditory information into different sets depending on the activity level of the spike streams. The main contribution of this software tool is that it allows complex audio post-processing treatments and representations, which is a novelty for spike-based systems in the neuromorphic community and it will help neuromorphic engineers to build sets for training spiking neural networks (SNN).Ministerio de Economía y Competitividad TEC2012-37868-C04-0
El vocabulari que marca el procés de reforma i aprovació del text de l'Estatut d'autonomia de Catalunya (2006)
L'any 2006, després d'un llarg iter parlamentari, s'aprova l'Estatut d'autonomia de Catalunya (EAC), que la Sentència 31/2010 del Tribunal Constitucional declara parcialment inconstitucional. Tot i que a Morales (2008) s'hi estudiaren les bases estatutàries elaborades pels partits, aquest article presenta l'estudi de les tres versions de l'EAC consensuades en seu parlamentària.
Aquests textos presenten característiques discursives pròpies del discurs jurídic i del discurs polític, i s'inscriuen dins d'un gènere el discurs normatiu poc caracteritzat des de la lingüística catalana en els darrers temps.
La metodologia emprada parteix de l'estadística textual. L'anàlisi lexicomètrica de Lexico3 ens ha permès identificar el vocabulari que canvia al llarg d'aquest procés. Així doncs, aquesta anàlisi discursiva, basada en criteris lexicomètrics, caracteritza el vocabulari utilitzat durant el procés de reforma de l'EAC 2006.
En aquest article presentem les línies teòriques i metodològiques generals del nostre treball i caracteritzem els quatre tipus d'esmenes identificats.In 2006, after a drawn-out parliamentary process, the Autonomy Statute of Catalonia (ASC) was approved. The Spanish Constitutional Court Ruling 31/2010 would later declare it partly unconstitutional. Morales (2008) already examined the statutory frameworks drafted by the parliamentary groups and this paper now presents a study of the three versions of the ASC agreed on in the Catalan Parliament. These texts are marked by discursive characteristics typically found in legal and political discourse and belong to a genre legislative discourse which has remained under-
researched in Catalan linguistics in recent years.
Using textual statistics and a lexicometric analysis conducted with Lexico3, this study demonstrates how lexical choices shifted over the course of the process of drafting and approving the ASC of 2006. Based on lexicometric criteria and discursive analysis, this paper describes the vocabulary used in this process. It also puts forward the theoretical and methodological approaches used for this research and describes the four types of amendments identified
Música-Persona: un binomio inseparable. La importancia de la música en el desarrollo infantil/humano
Treball Final de Grau en Mestre o Mestra d'Educació Infantil. Codi: MI1040. Curs acadèmic: 2017/2018Persona y música constituyen un binomio inseparable, no se entiende la existencia de uno sin el
otro. El propósito de este trabajo es conocer las posibilidades de la música y la musicoterapia en
la persona y su desarrollo ya desde la etapa infantil. Se pretende contrastar la teoría con la
experiencia profesional y personal del musicoterapeuta Patxi del Campo y, por otra parte, indagar
acerca de la situación actual de la música en las aulas de infantil.
Para lograr estos objetivos, se ha realizado la siguiente metodología: por un lado, una entrevista a
del Campo y, por otro lado, una encuesta a maestras que ejercen en la etapa de Educación
Infantil (3-6 años).
Los resultados de la entrevista han concretado la diferencia entre la aplicación de la música y de
la musicoterapia. También nos han mostrado que las principales funciones de la musicoterapia
son facilitar la relación persona-mundo, así como hacer sentir viva a la persona. La última parte de
esta, nos ha permitido conocer su punto de vista respecto a la situación de la música en las aulas.
Todo ello, englobado dentro del hecho importante, para el entrevistado, de no separar música y
persona.
Los resultados de la encuesta han reflejado que, pese a que los encuestados son conscientes de
los beneficios de la música, manifiestan ciertas dudas en cuanto a si la trabajaban correcta y
suficientemente.
Se puede concluir que, aunque la música es esencial e inseparable de la persona, esta no ocupa
el lugar que debiera en las aulas de Educación Infantil, siendo una posible causa de ello la
insuficiente formación del profesorado.Person and music constitute an inseparable binomial, the existence of one without the other is not
understood. The objective of this work is to know the possibilities of music and musictherapy in the
person and its development right from childhood stage. The aim is to contrast the theory with the
professional and personal experience of music therapist Patxi del Campo and, on the other hand,
to inquire about the current situation of music in children's classrooms.
To achieve these objectives, the following methodology has been carried out: first of all, an
interview with Del Campo and, moreover, a survey of teachers who practice in the early childhood
education stage (3-6 years old).
The results of the interview showed the difference between the use of music and musictherapy.
They have also showed us that the main functions of music therapy are to facilitate the personworld relationship, as well as to make a person feel alive. The last part of this interview, has
allowed us to know his point of view about the situation of music in the classroom. All this,
encompassed within the important fact, for the interviewee, of no separating music and person.
The results of the survey have shown the respondents are aware of the benefits of music, but they
express doubts about they are working music correctly and sufficiently.
It can be concluded that, although music is essential and inseparable from the person, it does not
occupy the place it should in the classrooms of early childhood education, one possible cause of
this, is the insufficient teacher trainin
Enhancing organizational performance with social media use: the catalysing effect of corporate entrepreneurship
Social Media use has become pervasive and firms are increasingly relying on it, not only to relate to customers, but also to leverage internal processes like innovation. The strategic use of these tools can facilitate also the entrepreneurial orientation of the firm, as it provides useful knowledge which can make the firm more entrepreneurial, stimulating it to find new opportunities or innovative ideas where other companies do not recognize them. However, despite the relevance of the phenomenon in current hyper-competitive environments, empirical research on the topic remains scarce. To shed some light on the issue, the main purpose of the paper is to examine how Social Media use impacts the different dimensions of corporate entrepreneurship (new business venturing, innovativeness, proactiveness and self-renewal), enhancing also organizational performance. The study is intended to extend knowledge on this topic, by providing understanding of the path firms should take to benefit from Social Media use to become more entrepreneurial and achieve higher organizational performance, developing and nurturing competitive advantages. The paper analyses data obtained from a sample of 201 technological firms located in Spain. The methodology used is Structural equation modelling with LISREL analysis. Findings confirms how the use of Social Media tools positively impacted all the different dimensions of corporate entrepreneurship, translating also in enhanced performance. This paper contributes to the literature by empirically confirming in a structural model how Social Media use helps to create business value, by enhancing proactive behaviours, promoting strategic renewal inside the firm and increasing innovativeness and new business venturing and displaying the internal and sequential relationships among these dimensions.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec
Experimental and analytical study of cracks under biaxial fatigue
Most mechanical components experience multi-axial cyclic loading conditions during service.
Experimental analysis of fatigue cracks under such conditions is not easy and most works tend to focus more
on the simpler but less realistic case of uni-axial loading. Consequently, there are many uncertainties related to
the load sequence effect that are now well known and are not normally incorporated into the growth models.
The current work presents a new methodology for evaluating overload effect in biaxial fatigue cracks. The
methodology includes evaluation of mixed-mode (KI and KII) stress intensity factor and the Crack Opening
Displacement for samples with and without overload cycle under biaxial loading. The methodology is tested
under a range of crack lengths. All crack-tip information is obtained with a hybrid methodology that combines
experimental full-field digital image correlation data and Williams' elastic model describing the crack-tip field.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
Stereo Matching in Address-Event-Representation (AER) Bio-Inspired Binocular Systems in a Field-Programmable Gate Array (FPGA)
In stereo-vision processing, the image-matching step is essential for results, although it
involves a very high computational cost. Moreover, the more information is processed, the more time
is spent by the matching algorithm, and the more ine cient it is. Spike-based processing is a relatively
new approach that implements processing methods by manipulating spikes one by one at the time
they are transmitted, like a human brain. The mammal nervous system can solve much more complex
problems, such as visual recognition by manipulating neuron spikes. The spike-based philosophy
for visual information processing based on the neuro-inspired address-event-representation (AER)
is currently achieving very high performance. The aim of this work was to study the viability of a
matching mechanism in stereo-vision systems, using AER codification and its implementation in
a field-programmable gate array (FPGA). Some studies have been done before in an AER system
with monitored data using a computer; however, this kind of mechanism has not been implemented
directly on hardware. To this end, an epipolar geometry basis applied to AER systems was studied
and implemented, with other restrictions, in order to achieve good results in a real-time scenario.
The results and conclusions are shown, and the viability of its implementation is proven.Ministerio de Economía y Competitividad TEC2016-77785-
Some experimental observations of crack-tip mechanics with displacement data
Estudio de la mecánica en el vértice de la grieta mediante datos de desplazamiento.In the past two decades, crack-tip mechanics has been increasingly studied with full-field
techniques. Within these techniques, Digital Image Correlation (DIC) has been most widely used due to its
many advantages, to extract important crack-tip information, including Stress Intensity Factor (SIF), Crack
Opening Displacement, J-integral, T-stress, closure level, plastic zone size, etc. However, little information is
given in the literature about the experimental setup that provides best estimations for the different parameters.
The current work aims at understanding how the experimental conditions used in DIC influence the crack-tip
information extracted experimentally. The influence of parameters such as magnification factor, size of the
images, position of the images with respect the crack-tip and size of the subset used in the correlation is studied.
The influence is studied in terms of SIF and T-stress by using Williams’ model. The concept of determination of
the K-dominance zone from experimental data has also explored. In this regard, cyclic loading on a fatigue
crack in a compact tension (CT) specimen, made of aluminium 2024-T351 alloy, has been applied and the
surface deformation ahead of the crack tip has been examined. The comparison between theoretical and
experimental values of KI showed that the effect of subset size on the measured KI is negligible compared to
the effect of size of the image.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
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