A clustering approach for vehicle routing problems with hard time windows

Dissertação para obtenção do Grau de Mestre em Logica Computicional

Design of a Continuous-Time (CT) Sigma-Delta modulator for class D audio power amplifiers

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Personal Learning Environments – Um Ecossistema de Aprendizagem em e-Learning

Esta investigação tem como tema de estudo os ambientes pessoais de aprendizagem que se podem desenvolver em e-learning. Estes ambientes com características singulares, face ao atual estado de desenvolvimento tecnológico e social, têm sido designados na doutrina científica pela expressão anglo-saxónica Personal Learning Environments, da qual derivam os acrónimos PLE ou PLEs. Este estudo tem, como objetivo, compreender o papel dos PLEs na aprendizagem dos alunos da parte letiva do Mestrado em Gestão de Sistemas de e-Learning, da Faculdade de Ciências Sociais e Humanas da Universidade Nova de Lisboa, nos biénios que decorreram de 2010-2011 a 2012-2013. Estes alunos, ao longo da sua aprendizagem, utilizaram várias ferramentas e/ou serviços associados com as TIC e Web 2.0. Esta utilização permitiu aos alunos criarem um ecossistema de aprendizagem próprio. A metodologia de investigação utilizada teve em consideração sobretudo aspetos qualitativos. A estratégia utilizada para a recolha de informações foi o inquérito por questionário. As informações recolhidas foram sujeitas a tratamento estatístico descritivo, e posterior triangulação dos resultados de algumas das variáveis.Dos resultados obtidos, é possível concluir que os alunos do Mestrado criaram os seus próprios PLEs e que estes facilitaram as suas aprendizagens. Que a sua utilização conferiu vantagens aos alunos. Que os PLEs foram fundamentais para poderem desenvolver atividades colaborativas, e que criaram um ecossistema próprio, uma rede de troca de conhecimentos.

Brotherly love and filial obedience: the commemorative programme of the Avis princes at Santa Maria da Vitória, Batalha

This dissertation focuses on a rare 15th century commemorative programme that has thus far received little scholarly attention: the collective monument erected in the Founder’s Chapel, at the Monastery of Santa Maria da Vitória, Batalha, to house the remains of four Avis princes, members of what would become known as ‘the Illustrious Generation’. A patron is proposed for the commission of this erudite monument - the princes’ eldest brother, king Duarte I - arguing its integration into a broader propaganda programme to glorify the memory of the Avis dynasty founder, king João I. The dissertation then proceeds to discuss various highly innovative features of the monument, such as its pseudo-architectural character, its use of sophisticated heraldry and personal badges, the apparent absence of religious iconography on the tombs and, importantly, the collective nature of the programme, key to its interpretation. Using a semiotic approach, a discussion is also offered on the way the various formal, iconographic and conceptual novelties of the princes’ monument impacted on the 15th century monumental landscape in Portugal. Finally, the monument and the chapel housing it are looked at through the prism of the various readings that successive generations of viewers have projected onto it, from the time of its creation to the turn of the 20th century, in order to offer a more comprehensive understanding of the object as it stands today.

Resilience of logistic service providers facing a port strike: a case study

The purpose of this thesis is to study the impact of a port strike on companies that perform as logistic service providers in a supply chain (SC), here denominated 3PL (third-party logistic providers). These companies are highly dependent on ports to perform their activity, since they provide international services. Consequently, a disruption in a port can seriously impair their business. A stevedores’ strike is one of the possible disruptions that can affect ports. This study aims to analyze the negative effects caused by this disruption, and what strategies 3PLs may implement in order to keep their performance levels stable and have a quick recovery time. Within this objective, the first step will be to establish a theoretical context about the maritime port’s sector and 3PLs in a SC context, to then expand the concept of a resilient SC, and finally to develop a theoretical framework in order to better contextualize the case study. Subsequently, the impact of a port strike will be quantified by using a case study comprising three companies, covering the areas of land and sea distribution and port operations. Information from primary sources was assembled in two phases: first via e-mail and, in a second phase, through a personal interview. The information from secondary sources was obtained through television news, internet and conferences, enabling its cross-analysis. Finally, by analyzing the collected data, it will be possible to draw conclusions about the measures carried out by each company to minimize the negative effects of the strike, thus contributing to a more resilient SC. As a conclusion, a stevedores’ strike will create a snow-ball of negative effects in the SC, degrading all relevant KPIs (key performance indicators) of the 3PLs under study. No mitigation and contingency strategies available proved really effective to reduce the negative effects of a port strike disruption.

Human activity recognition with accelerometry: novel time and frequency features

Human Activity Recognition systems require objective and reliable methods that can be used in the daily routine and must offer consistent results according with the performed activities. These systems are under development and offer objective and personalized support for several applications such as the healthcare area. This thesis aims to create a framework for human activities recognition based on accelerometry signals. Some new features and techniques inspired in the audio recognition methodology are introduced in this work, namely Log Scale Power Bandwidth and the Markov Models application. The Forward Feature Selection was adopted as the feature selection algorithm in order to improve the clustering performances and limit the computational demands. This method selects the most suitable set of features for activities recognition in accelerometry from a 423th dimensional feature vector. Several Machine Learning algorithms were applied to the used accelerometry databases – FCHA and PAMAP databases - and these showed promising results in activities recognition. The developed algorithm set constitutes a mighty contribution for the development of reliable evaluation methods of movement disorders for diagnosis and treatment applications.

Personal advisors for business professionals: improving communication skills with online corpora

The business sphere is a multilingual world where foreign language communication skills are crucial in international relations. It makes employers look for business professionals who have a high level of linguistic competences. Language proficiency increases the chances of negotiation among partners. There are mainly two obstacles that make barriers in formal communication in a foreign language: lack of knowledge of specific linguistic structures or terminology and frequent transitions from one language to another. This paper contributes to the quest for quick access to a wide range of English, Spanish and Russian online databases that provide authentic language samples. Their application may improve communication skills and facilitate preparation for business discourse.

State detection in a financial portfolio: a self-organizing maps approach for financial time series

This study analyses financial data using the result characterization of a self-organized neural network model. The goal was prototyping a tool that may help an economist or a market analyst to analyse stock market series. To reach this goal, the tool shows economic dependencies and statistics measures over stock market series. The neural network SOM (self-organizing maps) model was used to ex-tract behavioural patterns of the data analysed. Based on this model, it was de-veloped an application to analyse financial data. This application uses a portfo-lio of correlated markets or inverse-correlated markets as input. After the anal-ysis with SOM, the result is represented by micro clusters that are organized by its behaviour tendency. During the study appeared the need of a better analysis for SOM algo-rithm results. This problem was solved with a cluster solution technique, which groups the micro clusters from SOM U-Matrix analyses. The study showed that the correlation and inverse-correlation markets projects multiple clusters of data. These clusters represent multiple trend states that may be useful for technical professionals.

Real-time collaborative editing of OutSystems DSL models

Real-time collaborative editing systems are common nowadays, and their advantages are widely recognized. Examples of such systems include Google Docs, ShareLaTeX, among others. This thesis aims to adopt this paradigm in a software development environment. The OutSystems visual language lends itself very appropriate to this kind of collaboration, since the visual code enables a natural flow of knowledge between developers regarding the developed code. Furthermore, communication and coordination are simplified. This proposal explores the field of collaboration on a very structured and rigid model, where collaboration is made through the copy-modify-merge paradigm, in which a developer gets its own private copy from the shared repository, modifies it in isolation and later uploads his changes to be merged with modifications concurrently produced by other developers. To this end, we designed and implemented an extension to the OutSystems Platform, in order to enable real-time collaborative editing. The solution guarantees consistency among the artefacts distributed across several developers working on the same project. We believe that it is possible to achieve a much more intense collaboration over the same models with a low negative impact on the individual productivity of each developer.

A matter of time: Phases of customer co-creation community participation and their impact on customer behavior

Despite the growing relevance of co-creating customer communities only little scientific evidence is available on their impact on transactional behavior of participants. Previous research has mostly used self-reported data or distinguished only between during and pre-community phases obtaining mixed results. However, the author proposes that co-creating community activity takes place in five distinguishable phases and changes in transactional behavior are limited to certain phases. Using 33 months of transactional data of a Dutch online auction provider a study was conducted covering all five phases of the community co-creation process from community planning over community set-up, co-development and co-testing to post-launch. The overall results indicate mixed effects of community participation on the different transactional variables during the co-creation process. Community participation had positive effects on auctions listing behavior at the community set-up, co-development and post-launch phases, whereby the number of auctions listed peaked during the community set-up phase. These results suggest that the impact on transactional behavior differs between co-creation phases and different psychological mechanism limited to certain phases might trigger the respective changes.

Using social semantic knowledge to improve annotations in personal photo collections

Instituto Politécnico de Lisboa (IPL) e Instituto Superior de Engenharia de Lisboa (ISEL)apoio concedido pela bolsa SPRH/PROTEC/67580/2010, que apoiou parcialmente este trabalho

Being ahead of its time the consumer resistance phenomenon: A comparative case study research

Double Degree.

Who uses NHS saúde 24 hotline? Has the user changed over time?

There has been an increase in the use of telephone-based services and internet throughout the years and, therefore, the Saúde 24 Hotline has become an important service in Portugal. This service aims to screen, counsel and refer the patient in order to avoid unnecessary visits to health institutions and also to indicate the most appropriate resource according to the illness. This work has two different questions: the first one examines the determinants of satisfaction that have more influence on the overall satisfaction of the Saúde 24 Hotline users. The second one aims to analyze if the confidence level of the users is increasing over time, measured by following the recommendation. The first study was conducted on a random sample collected from June to October 2014, which was taken from the User Satisfaction Survey. The second approach includes data from January 2008 to December 2014 from the Clinical Data Base of all users who have called the Hotline. Findings suggest that the majority of users are very satisfied with the service and the variables with more impact on the overall satisfaction are commitment and availability from the nurse, adequacy of call duration and quick identification of the problem. The survey indicates that 94% of respondents follow the recommendation and on average people have called the hotline 3 times in the previous year. The results from the Clinical Database show that people who were recommended to go to the emergency room are more likely to follow the advice than the people who were recommended to book routine appointments

Electrohysterogram signal component cataloging with spectral and time-frequency methods

The Electrohysterogram (EHG) is a new instrument for pregnancy monitoring. It measures the uterine muscle electrical signal, which is closely related with uterine contractions. The EHG is described as a viable alternative and a more precise instrument than the currently most widely used method for the description of uterine contractions: the external tocogram. The EHG has also been indicated as a promising tool in the assessment of preterm delivery risk. This work intends to contribute towards the EHG characterization through the inventory of its components which are: • Contractions; • Labor contractions; • Alvarez waves; • Fetal movements; • Long Duration Low Frequency Waves; The instruments used for cataloging were: Spectral Analysis, parametric and non-parametric, energy estimators, time-frequency methods and the tocogram annotated by expert physicians. The EHG and respective tocograms were obtained from the Icelandic 16-electrode Electrohysterogram Database. 288 components were classified. There is not a component database of this type available for consultation. The spectral analysis module and power estimation was added to Uterine Explorer, an EHG analysis software developed in FCT-UNL. The importance of this component database is related to the need to improve the understanding of the EHG which is a relatively complex signal, as well as contributing towards the detection of preterm birth. Preterm birth accounts for 10% of all births and is one of the most relevant obstetric conditions. Despite the technological and scientific advances in perinatal medicine, in developed countries, prematurity is the major cause of neonatal death. Although various risk factors such as previous preterm births, infection, uterine malformations, multiple gestation and short uterine cervix in second trimester, have been associated with this condition, its etiology remains unknown [1][2][3].

UK Mental health professionals volunteering in LMIC-benefits to UK and host countries

RESUMO: O Royal College of Psychiatrists tem um programa de voluntariado internacional desde 2005. O interesse no Reino Unido tem crescido nos últimos 15 anos com muitos projetos novos. Os benefícios para vários países têm sido reconhecidos. O que está menos claro são os benefícios da experiência para o Reino Unido e do programa de voluntariado do Royal College of Psychiatrists. O objectivo desta dissertação é explorar os benefícios do voluntariado para o Sistema Nacional de Saúde focando principalmente, mas não exclusivamente, o programa de voluntariado do Royal College of Psychiatrists. Nesta dissertação abordamos primeiro o contexto antes de discutirmos dois grandes estudos de psiquiatras e hospitais do Sistema Nacional de Saúde no Reino Unido. Incluimos no estudo todos os psiquiatras registados como Voluntários no Royal College of Psychiatrists e o Grupo de Interesse Especial associado. Foi ainda possível incluir os Diretores Médicos de todos os hospitais do Reino Unido. Os estudos foram desenhados para analisar as opiniões dos Voluntários do Reino Unido sobre os benefícios para os países recetores de baixo e médio rendimento e para o Reino Unido. Todos os 60 hospitais do Sistema Nacional de Saúde foram incluí dos para analisar a opinião sobre Voluntariado. As limitações dos estudos foram a baixa taxa de resposta, mas esta foi comparável a outros estudos do College. É provável haver um enviezamento de resposta e favorecimento dos que estão envolvidos no Voluntariado. Os resultados mostraram um interesse forte no voluntariado e benefícios no Sistema Nacional de Saúde, nas. áreas de liderança, transculturalismo, gestão e recursos e capacidades pessoais. Os hospitais do Sistema Nacional de Saúde valorizaram o voluntariado e, em contrapartida, o valor acrescido para competências profissionais. Os obstáculos contra o Voluntariado a nível individual e dos hospitais foram maioritariamente de natureza prática, tais como obter dispensa do trabalho, substituição no trabalho e custos. As implicações destes estudos são que o programa de voluntariado do College precisa de ser fortalecido. Para assegurar que este trabalho continua é necessário existir uma sensibilização nacional e maior responsabilização sobre os benefícios para o Reino Unido e a nível global. -------------------------- ABSTRACT: The Royal College of Psychiatrists has had an international volunteering programme since 2005. The interest in UK has grown over the past 15 years with many new projects. The benefits in various countries has been acknowledged. What has been less clear are the benefits of the experience back in the UK and of the Royal College of Psychiatrists Volunteer Scheme. The aim of this dissertation is to explore the benefit of volunteering to the NHS focusing mainly, but not exclusively on the Royal College of Psychiatrists Volunteering scheme. In this dissertation we first look at background information before discussing two large surveys of Psychiatrists and NHS Trusts in UK. We surveyed all those registered as Volunteers at the Royal College of Psychiatrists and the associated Special Interest Group. We also were able to survey the Medical Directors of all UK Trusts. The Surveys were designed to assess views of UK Volunteers of benefits to hosts in LMIC and back in UK. All 60 NHS Trusts were surveyed to assess the view of Volunteering. Limitation of the surveys were the low response rate but this was comparable to other College surveys. There is likely to be a bias in response and favour those who are engaged in the Volunteering agenda. Results showed a strong interest in volunteering and perceived benefits in NHS. These areas included leadership, transcultural, resource management and personal skills. NHS trusts valued volunteering and added value to professional competencies on return. Obstacles to Volunteering at individual and Trust level were mainly practical issues such as getting time off, cover and costs. Implications of these surveys are that the College volunteering scheme needs strengthening. There needs to be a National advocacy to ensure that this work continues and greater accountability as to benefits in UK and globally.