2,586 research outputs found
Assessing Inconspicuous Smartphone Authentication for Blind People
As people store more personal data in their smartphones, the consequences of
having it stolen or lost become an increasing concern. A typical
counter-measure to avoid this risk is to set up a secret code that has to be
entered to unlock the device after a period of inactivity. However, for blind
users, PINs and passwords are inadequate, since entry 1) consumes a non-trivial
amount of time, e.g. using screen readers, 2) is susceptible to observation,
where nearby people can see or hear the secret code, and 3) might collide with
social norms, e.g. disrupting personal interactions. Tap-based authentication
methods have been presented and allow unlocking to be performed in a short time
and support naturally occurring inconspicuous behavior (e.g. concealing the
device inside a jacket) by being usable with a single hand. This paper presents
a study with blind users (N = 16) where an authentication method based on tap
phrases is evaluated. Results showed the method to be usable and to support the
desired inconspicuity.Comment: 4 pages, 1 figur
Distributed learning of CNNs on heterogeneous CPU/GPU architectures
Convolutional Neural Networks (CNNs) have shown to be powerful classification
tools in tasks that range from check reading to medical diagnosis, reaching
close to human perception, and in some cases surpassing it. However, the
problems to solve are becoming larger and more complex, which translates to
larger CNNs, leading to longer training times that not even the adoption of
Graphics Processing Units (GPUs) could keep up to. This problem is partially
solved by using more processing units and distributed training methods that are
offered by several frameworks dedicated to neural network training. However,
these techniques do not take full advantage of the possible parallelization
offered by CNNs and the cooperative use of heterogeneous devices with different
processing capabilities, clock speeds, memory size, among others. This paper
presents a new method for the parallel training of CNNs that can be considered
as a particular instantiation of model parallelism, where only the
convolutional layer is distributed. In fact, the convolutions processed during
training (forward and backward propagation included) represent from -\%
of global processing time. The paper analyzes the influence of network size,
bandwidth, batch size, number of devices, including their processing
capabilities, and other parameters. Results show that this technique is capable
of diminishing the training time without affecting the classification
performance for both CPUs and GPUs. For the CIFAR-10 dataset, using a CNN with
two convolutional layers, and and kernels, respectively, best
speedups achieve using four CPUs and with three GPUs.
Modern imaging datasets, larger and more complex than CIFAR-10 will certainly
require more than -\% of processing time calculating convolutions, and
speedups will tend to increase accordingly
La modernidad y la contemporaneidad en diálogo con el patrimonio: La vida de dos espacios de culto en Lisboa: la iglesia de Santa Isabel y la capilla do Rato
Since the 1960s, the artistic and architectural interventions carried out in the church of Santa Isabel and Rato Chapel, in Lisbon, brought to the debate the overlap of different narratives in these two different spaces of worship: the first, is a parish church preserved by the earthquake of Lisbon (1755), which had its liturgical space redesigned before the Second Vatican Council; the second, is a private chapel annexed to a 18th century palace that became a symbolic worship space for students and engaged young professionals since the 1970s. Enriched with the work of either well-known artists or, sometimes, anonymous architects, the two case studies show us the life of monuments, where Modern and Contemporary Art and Architecture participate in preserving and enhancing their cultural value. At the same time, the liturgical and pastoral activities are shown to be the engine behind successive interventions.Desde la década de 1960, las intervenciones artísticas y arquitectónicas realizadas en la iglesia de Santa Isabel y la capilla do Rato, en Lisboa, trajeron al debate la superposición de diferentes narrativas en estos dos diferentes espacios de culto: el primero es una iglesia parroquial que sobrevivió al terremoto de Lisboa (1755), cuyo espacio litúrgico se rediseñó antes del Concilio Vaticano II; la segunda es una capilla privada anexa a un palacio del siglo XVIII que se convirtió en un espacio de culto simbólico para estudiantes y jóvenes profesionales comprometidos a partir de la década de 1970. Enriquecidos con el trabajo de artistas conocidos, o a veces, de arquitectos anónimos, los dos estudios de caso nos muestran la vida de los monumentos, donde el arte y la arquitectura moderna y contemporánea participan en la preservación y mejora de su valor cultural. Al mismo tiempo, se muestra que las actividades litúrgicas y pastorales son el motor de las sucesivas intervenciones
Seguimento de pessoas com drones em espaços inteligentes
Recent technological progress made over the last decades in the field
of Computer Vision has introduced new methods and algorithms with
ever increasing performance results. Particularly, the emergence of
machine learning algorithms enabled class based object detection on
live video feeds. Alongside these advances, Unmanned Aerial Vehicles (more commonly known as drones), have also experienced advancements in both hardware miniaturization and software optimization. Thanks to these improvements, drones have emerged from their
military usage based background and are now both used by the general
public and the scientific community for applications as distinct as aerial
photography and environmental monitoring.
This dissertation aims to take advantage of these recent technological
advancements and apply state of the art machine learning algorithms
in order to create a Unmanned Aerial Vehicle (UAV) based network
architecture capable of performing real time people tracking through
image detection.
To perform object detection, two distinct machine learning algorithms
are presented. The first one uses an SVM based approach, while the
second one uses an Convolutional Neural Network (CNN) based architecture. Both methods will be evaluated using an image dataset
created for the purposes of this dissertation’s work.
The evaluations performed regarding the object detectors performance
showed that the method using a CNN based architecture was the best
both in terms of processing time required and detection accuracy, and
therefore, the most suitable method for our implementation.
The developed network architecture was tested in a live scenario context, with the results showing that the system is capable of performing
people tracking at average walking speeds.O recente progresso tecnológico registado nas últimas décadas no
campo da Visão por Computador introduziu novos métodos e algoritmos com um desempenho cada vez mais elevado. Particularmente,
a criação de algoritmos de aprendizagem automática tornou possível
a detecção de objetos aplicada a feeds de vídeo capturadas em tempo
real. Paralelo com este progresso, a tecnologia relativa a veículos aéreos
não tripulados, ou drones, também beneficiaram de avanços tanto na
miniaturização dos seus componentes de hardware assim como na optimização do software. Graças a essas melhorias, os drones emergiram
do seu passado militar e são agora usados tanto pelo público em geral
como pela comunidade científica para aplicações tão distintas como
fotografia e monitorização ambiental.
O objectivo da presente dissertação pretende tirar proveito destes recentes avanços tecnológicos e aplicar algoritmos de aprendizagem automática de última geração para criar um sistema capaz de realizar
seguimento automático de pessoas com drones através de visão por
computador.
Para realizar a detecção de objetos, dois algoritmos distintos de aprendizagem automática são apresentados. O primeiro é dotado de uma
abordagem baseada em Support Vector Machine (SVM), enquanto o
segundo é caracterizado por uma arquitetura baseada em Redes Neuronais Convolucionais. Ambos os métodos serão avaliados usando uma
base de dados de imagens criada para os propósitos da presente dissertação.
As avaliações realizadas relativas ao desempenho dos algoritmos de detecção de objectos demonstraram que o método baseado numa arquitetura de Redes Neuronais Covolucionais foi o melhor tanto em termos
de tempo de processamento médio assim como na precisão das detecções, revelando-se portanto, como sendo o método mais adequado
de acordo com os objectivos pretendidos.
O sistema desenvolvido foi testado num contexto real, com os resultados obtidos a demonstrarem que o sistema é capaz de realizar o
seguimento de pessoas a velocidades comparáveis a um ritmo normal
humano de caminhada.Mestrado em Engenharia Eletrónica e Telecomunicaçõe
Distribution-Based Categorization of Classifier Transfer Learning
Transfer Learning (TL) aims to transfer knowledge acquired in one problem,
the source problem, onto another problem, the target problem, dispensing with
the bottom-up construction of the target model. Due to its relevance, TL has
gained significant interest in the Machine Learning community since it paves
the way to devise intelligent learning models that can easily be tailored to
many different applications. As it is natural in a fast evolving area, a wide
variety of TL methods, settings and nomenclature have been proposed so far.
However, a wide range of works have been reporting different names for the same
concepts. This concept and terminology mixture contribute however to obscure
the TL field, hindering its proper consideration. In this paper we present a
review of the literature on the majority of classification TL methods, and also
a distribution-based categorization of TL with a common nomenclature suitable
to classification problems. Under this perspective three main TL categories are
presented, discussed and illustrated with examples
Characterizing the timing behaviour of power-line communication by means of simulation
Although power-line communication (PLC) is not a
new technology, its use to support communication with
timing requirements is still the focus of ongoing
research. Recently, a new infrastructure was presented,
intended for communication using power lines from a
central location to geographically dispersed nodes
using inexpensive devices. This new infrastructure uses
a two-level hierarchical power-line system, together
with an IP-based network.
Within this infrastructure, in order to provide end-toend
communication through the two levels of the powerline
system, it is necessary to fully understand the
behaviour of the underlying network layers. The masterslave
behaviour of the PLC MAC, together with the
inherent dynamic topology of power-line networks are
important issues that must be fully characterised.
Therefore, in this paper we present a simulation model
which is being used to study and characterise the
behaviour of power-line communication.C
Informe del Simpósio Ibérico do Ensino da Geología / XIV Simposio sobre Enzeñanza de la Geología
REMPLI discreet event simulation results
This document makes a brief review on the results of the REMPLI Discreet Event Simulation system used to
test the REMPLI Transport Layer. An introduction on the REMPLI Discreet Event Simulation system is
made on HURRAY-TR-070903
A evolução da Previdência Social em perspectiva comparada: 1935-1974
Mestrado em Governação, Competitividade e Políticas PúblicasEste trabalho pretendeu analisar a importância e o contributo do sistema português de Previdência Social no processo de institucionalização do Estado Social em Portugal, e compreender a evolução da Previdência Social através de uma comparação com o contexto internacional. Para efectuar essa comparação recorreu-se à análise da evolução e composição da despesa social em percentagem do Produto Interno Bruto. O período histórico analisado inicia-se em 1935, com a criação da Previdência Social, e termina em 1974, com o fim do Estado Novo. Com base nos elementos e dados recolhidos foi possível tirar algumas conclusões acerca da importância da Previdência Social na institucionalização do actual Estado Social português, nomeadamente na configuração do sistema português de segurança social desenvolvido a partir de 1974. Como resultados mais relevantes, concluiu-se que: em primeiro lugar, o Estado desempenhou o principal papel na institucionalização do Estado Social em Portugal; em segundo lugar, a génese do actual Estado Social português começou durante o período do Estado Novo, assim, Portugal começou a construir um sistema de protecção social embora com algum atraso em relação à realidade existente nesse domínio na maioria dos países desenvolvidos; em terceiro lugar, a evolução da despesa social ao longo do Estado Novo apresenta uma tendência crescente dos valores de despesa social, mas o sistema de Previdência Social nunca se transformou num sistema moderno de segurança social nem chegou próximo dos níveis de despesa social existentes na maioria dos países desenvolvidos.This work analyses the relevance and the contribution of the portuguese social protection system called Previdência Social in the implementation process of the Welfare State in Portugal, and attempts to understand the evolution of Previdência Social in the international context. To this effect, the comparison is focused on the evolution and composition of social expenditure relative to GDP. The historical period analyzed begins in 1935 when the social protection scheme called Previdência Social was created and ends in 1974 with the demise of the Estado Novo regime. The research allowed some conclusions about the relevance of Previdência Social to the configuration of the Social Security system and the Welfare State in Portugal. The most relevant conclusions are: first, the state played the main role in the implementation of the Welfare State in Portugal; second, the origins of the current portuguese Welfare State began during the Estado Novo period; third, the evolution of social expenditure during Estado Novo presents a growth trend divided into three periods, but the Previdência Social system never changed into a modern social security system neither did it reach the social expenditure levels of welfare systems in most developed countries
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