1,721,006 research outputs found
Avaliação de Algoritmos Computacionais no contexto de Sistema de Monitorização de Apneia baseado no processamento de Bio-sinais
No full textA doença da apneia do sono afeta cerca de 1 milhão de pessoas no mundo. Ela distinguese
em três tipos: Obstrutiva, Central e Mista. A investigação por uma alternativa à Polissonografia como meio de diagnóstico à Apneia Obstrutiva do Sono é uma necessidade, visto
os custos e meios que ela envolve. Nesse sentido a presente dissertação descreve a envolvência do problema e propõe modelo de deteção de episódios de apneia, com recurso
ao aprendizado de máquina (em inglês, Machine Learning).
O modelo foi construído com o uso de diferentes classificadores (SVM, MLP, Adaboost e
RandomForest). Como dados de entrada, foram processados e extraídas caraterísticas do
base de dados ApneiaECG da Physionet. O melhor resultado alcançado foi uma exatidão
(accuracy) de 78,45%, sensibilidade (sensibility) de de 70,26% e especificidade specificity
de 83,49%.
Adicionalmente, foi construída uma aplicação de recolha de dados que utiliza um dispositivo capacitado com elétrodos que permitem a recolha de sinal de eletrocardiograma.
Com estes dados, pretendese no futuro criar uma base de dados e um sistema que ajude
a deteção da apneia.Sleep apnea disease affects about 1 million people worldwide. It is distinguished into three
types: Obstructive, Central and Mixed. The investigation for an alternative to Polysomnography as a means of diagnosing Obstructive Sleep Apnea is a necessity, given the costs and
means that it involves. In this sense, the present dissertation describes the surroundings
of the problem and proposes a model for the detection of apnea episodes, using machine
learning (in English, Machine Learning).
The model was built using different classifiers (SVM, MLP, Adaboost and RandomForest).
As input data, features were processed and extracted from the ApneaECG database of
Physionet. The best result achieved was an accuracy (accuracy) of 78.45%, sensitivity
(sensibility) of 70.26% and specificity specificity of 83.49%.
Additionally, a data collection application was built that uses a device equipped with electrodes that allow the collection of an electrocardiogram signal. With these data, it is intended in the future to create a database and a system to help detect apnea
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Autonomous Adaptive Security Framework for 5G-Enabled IoT
Get PDFIn IoT-based critical sectors, 5G can provide more rapid connection speeds,
lower latency, faster downloads, and capability to connect more devices due to
the introduction of new dynamics such as softwarization and virtualization.
5G-enabled IoT networks increase systems vulnerabilities to security threats
due to these dynamics. Consequently, adaptive cybersecurity solutions need to
be developed for 5G-enabled IoT applications to protect them against potential
cyber-attacks. This task specifies new adaptive strategies of security
intelligence with associated scenarios to meet the challenges of 5G-IoT
characteristics. In this task we have also developed an autonomous adaptive
security framework which can protect 5G-enabaled IoT dynamically and
autonomously. The framework is based on a closed feedback loop of advanced
analytics to monitor, analyse, and adapt to evolving threats to 5G-enanled IoT
applications
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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