Industrial networks: are they a new and alternative way to conduct business or just a logical consequence of a globalising economy?

Based on a report for the seminar Industrial Networks, at Goethe Universität Frankfurt am Main Dozent: Prof. Dr. Blättel-Mink, Prof. Dr. António Moniz SS 2011

Bringing Context Awareness to IoT-Based Wireless Sensor Networks

IEEE International Conference on Pervasive Computing and Communications (PerCom). 23 to 26, Mar, 2015, PhD Forum. Saint Louis, U.S.A..

Multi-criteria optimisation approach to increase the delivered power in radial distribution networks

This study proposes a new methodology to increase the power delivered to any load point in a radial distribution network, through the identification of new investments in order to improve the repair time. This research work is innovative and consists in proposing a full optimisation model based on mixed-integer non-linear programming considering the Pareto front technique. The goal is to achieve a reduction in repair times of the distribution networks components, while minimising the costs of that reduction as well as non-supplied energy costs. The optimisation model considers the distribution network technical constraints, the substation transformer taps, and it is able to choose the capacitor banks size. A case study based on a 33-bus distribution network is presented in order to illustrate in detail the application of the proposed methodology.

Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus

In the last two decades, small strain shear modulus became one of the most important geotechnical parameters to characterize soil stiffness. Finite element analysis have shown that in-situ stiffness of soils and rocks is much higher than what was previously thought and that stress-strain behaviour of these materials is non-linear in most cases with small strain levels, especially in the ground around retaining walls, foundations and tunnels, typically in the order of 10−2 to 10−4 of strain. Although the best approach to estimate shear modulus seems to be based in measuring seismic wave velocities, deriving the parameter through correlations with in-situ tests is usually considered very useful for design practice.The use of Neural Networks for modeling systems has been widespread, in particular within areas where the great amount of available data and the complexity of the systems keeps the problem very unfriendly to treat following traditional data analysis methodologies. In this work, the use of Neural Networks and Support Vector Regression is proposed to estimate small strain shear modulus for sedimentary soils from the basic or intermediate parameters derived from Marchetti Dilatometer Test. The results are discussed and compared with some of the most common available methodologies for this evaluation.

Using neural networks and support vector regression to relate marchetti dilatometer test parameters and maximum shear modulus

In the last two decades, small strain shear modulus became one of the most important geotechnical parameters to characterize soil stiffness. Finite element analysis have shown that in-situ stiffness of soils and rocks is much higher than what was previously thought and that stress-strain behaviour of these materials is non-linear in most cases with small strain levels, especially in the ground around retaining walls, foundations and tunnels, typically in the order of 10−2 to 10−4 of strain. Although the best approach to estimate shear modulus seems to be based in measuring seismic wave velocities, deriving the parameter through correlations with in-situ tests is usually considered very useful for design practice.The use of Neural Networks for modeling systems has been widespread, in particular within areas where the great amount of available data and the complexity of the systems keeps the problem very unfriendly to treat following traditional data analysis methodologies. In this work, the use of Neural Networks and Support Vector Regression is proposed to estimate small strain shear modulus for sedimentary soils from the basic or intermediate parameters derived from Marchetti Dilatometer Test. The results are discussed and compared with some of the most common available methodologies for this evaluation.

Development of a fuzzy qualitative risk assessment model applied to construction industry

Dissertação para obtenção do Grau de Doutor em Engenharia Industrial

Psychological safety, authentic leadership and social networks : A psycho-structural approach to the study of groups

Tese de Doutoramento em Psicologia na área de especialização de Psicologia das Organizações apresentada ao ISPA - Instituto Universitário

A systematic methodology to analyse the performance and design configurations of business interoperability in cooperative industrial networks

This thesis proposes a methodology for modelling business interoperability in a context of cooperative industrial networks. The purpose is to develop a methodology that enables the design of cooperative industrial network platforms that are able to deliver business interoperability and the analysis of its impact on the performance of these platforms. To achieve the proposed objective, two modelling tools have been employed: the Axiomatic Design Theory for the design of interoperable platforms; and Agent-Based Simulation for the analysis of the impact of business interoperability. The sequence of the application of the two modelling tools depends on the scenario under analysis, i.e. whether the cooperative industrial network platform exists or not. If the cooperative industrial network platform does not exist, the methodology suggests first the application of the Axiomatic Design Theory to design different configurations of interoperable cooperative industrial network platforms, and then the use of Agent-Based Simulation to analyse or predict the business interoperability and operational performance of the designed configurations. Otherwise, one should start by analysing the performance of the existing platform and based on the achieved results, decide whether it is necessary to redesign it or not. If the redesign is needed, simulation is once again used to predict the performance of the redesigned platform. To explain how those two modelling tools can be applied in practice, a theoretical modelling framework, a theoretical Axiomatic Design model and a theoretical Agent-Based Simulation model are proposed. To demonstrate the applicability of the proposed methodology and/or to validate the proposed theoretical models, a case study regarding a Portuguese Reverse Logistics cooperative network (Valorpneu network) and a case study regarding a Portuguese construction project (Dam Baixo Sabor network) are presented. The findings of the application of the proposed methodology to these two case studies suggest that indeed the Axiomatic Design Theory can effectively contribute in the design of interoperable cooperative industrial network platforms and that Agent-Based Simulation provides an effective set of tools for analysing the impact of business interoperability on the performance of those platforms. However, these conclusions cannot be generalised as only two case studies have been carried out. In terms of relevance to theory, this is the first time that the network effect is addressed in the analysis of the impact of business interoperability on the performance of networked companies and also the first time that a holistic approach is proposed to design interoperable cooperative industrial network platforms. Regarding the practical implications, the proposed methodology is intended to provide industrial managers a management tool that can guide them easily, and in practical and systematic way, in the design of configurations of interoperable cooperative industrial network platforms and/or in the analysis of the impact of business interoperability on the performance of their companies and the networks where their companies operate.

Migrant networks and migrant intentions to return

Social ties are potentially an important determinant of migrants’ intention to return to their home country, and yet this topic has not been addressed in the existing economics literature on international migration. This study examines the absolute and relative importance of migrant social networks both at destination and at origin. We base our research on experimental data from Batista and Narciso (2013)1. By defining networks according to different characteristics of their members and migrant return intentions with respect to three different time horizons, we are able to dissect the network effect into its components. After controlling for unobserved heterogeneity and reverse causality biases we find that network at home seems to be the most important determinant of the migrant’s intention to return home within five and ten years.

Contribution of Mental Health Service User Groups to Mental Health Services and Policy in Ghana : The Case of Mental Health Society of Ghana

RESUMO: Este estudo procurou documentar a perspectiva (s) dos utentes de saúde mental e das associações de prestadores de cuidados sobre a prestação, o papel e a contribuição de serviços de saúde mental da comunidade tal como foram percebidos por um número de informadores-chave, incluindo os utentes do serviço mentais e os próprios prestadores de cuidados. O caso específico da Sociedade Saúde Mental do Gana (MEHSOG) foi o foco deste estudo. O modelo foi o de um estudo de caso, utilizando discussões de grupo e entrevistas com informadores-chave como instrumentos de recolha de dados. Estas ferramentas de colheita de dados foram complementadas por observações dos participantes e pela revisão de documentos da MEHSOG e dos vários grupos de apoio da comunidade de auto-ajuda que compõem a associação nacional. O estudo revelou que os utentes dos serviços de saúde mental e seus prestadores de cuidados constituem um importante grupo de partes interessadas na prestação de serviços de saúde mental da comunidade e no desenvolvimento de políticas que tenham em conta as necessidades e os direitos das pessoas com doença mental ou epilepsia. O envolvimento da MEHSOG promove a mobilização de membros e famílias relacionadas com a doença mental de beneficiar de serviços de tratamento bem organizados com um impacto significativo na melhoria da saúde e da participação dos utentes dos serviços e seus prestadores de cuidados primários em processos de tomada de decisão da família e na comunidade processos de desenvolvimento. Os utentes dos serviços por beneficiarem de tratamento, e os prestadores de cuidados primários, por se tornarem mais livres e menos sobrecarregados com a responsabilidade de cuidar, podem passar a envolver-se mais em atividades que melhoramo seu estado, o de suas famílias e das comunidades. A advocacia dos membros da MEHSOG para conseguir que a “Mental Health Bill” se transforme numa Lei foi também um desenvolvimento significativo resultante da participação ativa dos utentes do serviço em chamar a atenção para uma nova e inclusiva legislação de saúde mental para o Gana. Entre os fatores e oportunidades que permitiram aos utentes dos serviços de saúde mental e aos prestadores de cuidados primários de pessoas com doença mental apoiar activamente a prestação de serviços de saúde mental comunitária e o desenvolvimento de políticas conta-se a contribuição da sociedade civil do Gana, particularmente o movimento da deficiência, e os esforços anteriores de ONGs em saúde mental e dos profissionais de saúde mental para ter uma nova lei em saúde mental. Observámos um certo número de desafios e barreiras que actuam de forma a limitar a influência dos utentes dos serviços de saúde mental na provisão da saúde mental comunitária e no desenvolvimento de políticas. Entre elas o estigma social contra a doença mental e pessoas com doença mental ou epilepsia e seus cuidadores primaries é um factor chave. O estigma tem alterado a percepção e as análises do público em geral, especialmente dos profissionais de saúde e das autoridades políticas afetando a priorização dos problemas de saúde mental nas políticas e programas. Outro desafio foi a deficiente infra-estrutura disponível para apoiar serviços de saúde mentais que assegurem aos utentes permanecerem em bom estado de saúde e bem-estar para serem advogados de si próprios. A recomendação do presente estudo é que os movimentos de utentes dos serviços de saúde mental são importantes e que eles precisam de ser apoiados e encorajados a desempenhar o seu papel como pessoas com experiência vivida para contribuir para a organização e prestação de serviços de saúde mental, bem como para a implementação, monitorização e avaliação de políticas e programas. ------------------------------------ ABSTRACT: This study sought to document the perspective(s) of mental health users and care-givers associations in community mental health service provision and their role and contribution as it was perceived by a number of key informants including the mental service users and care-givers themselves. The specific case of the Mental Health Society of Ghana (MEHSOG) was the focus of this study. A case study approach was used to with Focus Group Discussions and Key Informants Interviews being the data collection tools that were used. These data collection tools were complemented by participant observations and review of documents of the MEHSOG and the various community self-help peer support groups that make up the national association. The study revealed that mental health service users and their care-givers constitute an important stakeholder group in community mental health service provision and development of policies that factor in the needs and rights of persons with mental illness or epilepsy. MEHSOG’s involvement in mobilising members and education families to come forward with the relations with mental illness to benefit from treatment services were well made a significant impact in improving the health and participation of service users and their primary carers in family decision-making processes and in community development processes. Service users, on benefiting from treatment, and primary care-givers, on becoming freer and less burdened with the responsibility of care, move on to engage in secure livelihoods activities, which enhanced their status in their families and communities. The advocacy MEHSOG members undertook in getting the mental health Bill become Law was also noted as significant development that was realised as a result of active involvement of service users in calling for a new and inclusive mental health legislation for Ghana. Enabling factors and opportunities that enabled mental health service users and primary care-givers of people with mental illness to actively support community mental health service provision and policy development is with the vibrant civil society presence in Ghana, particularly the disability movement, and earlier efforts by NGOs in mental health in Ghana long-side mental health professionals to have a new law in mental health. A number of challenges were also noted which were found to limit the extent to which mental health service users can be influential in community mental health service provision and policy development. Key among them was the social stigma against mental illness and people with mental illness or epilepsy and their primary carers. Stigma has affected perceptions, analyses of the general public, especially health practitioners and policy authorities that it has affected their prioritisation of mental health issues in policies and programmes. Another challenge was the poor infrastructure available to support enhanced mental health care services that ensure mental health service users remain in a good state of health and wellbeing to advocate for themselves. The recommendation from the study is that mental health service user movements are important and need to be supported and encouraged to play their role as persons with lived experience to inform organisation and provision of mental health services as well as design and implementation, monitoring and evaluation of policies and programes.

Using artificial neural networks to generate trading signals for crude oil, copper and gold futures

In this thesis, a feed-forward, back-propagating Artificial Neural Network using the gradient descent algorithm is developed to forecast the directional movement of daily returns for WTI, gold and copper futures. Out-of-sample back-test results vary, with some predictive abilities for copper futures but none for either WTI or gold. The best statistically significant hit rate achieved was 57% for copper with an absolute return Sharpe Ratio of 1.25 and a benchmarked Information Ratio of 2.11.

Crowdfunding

Crowdfunding, as we know it today, is a very recent activity that was born almost accidentally in the end of the 90’s decade. Due to the advent of the internet and the social networks, entrepreneurs are now able to promote their projects to a very large community. Whether it is composed by family, friends, acquaintances or simply people that are interested in the same topic or share the passion, the community is able to fund new ventures by individually investing modest amounts of money. In return, the entrepreneur can offer symbolic rewards, shares or other financial returns. New crowdfunding platforms are born almost every day all over the world, offering a new way of raising capital for their projects or a new way to invest their money in innovative ventures. Although crowdfunding is still finding its place in the financial services, successful cases such as Kickstarter demonstrate the power of the crowd in boosting creativity and productivity, financing thousands of projects by raising millions of dollars from thousands of investors. Due to regulatory restrictions, the most prominent model for now is reward-based crowdfunding, where the investors are prized with symbolic returns or privileged access to the products or services offered by the entrepreneurs. Other models such as peer-to-peer lending are also surging, allowing borrowers access to capital at a lower cost compared to so-called traditional financial institutions, and offering lenders a higher rate of return. But when it comes to offering shares to investors, i.e. using equity-based crowdfunding, entrepreneurs face regulatory obstacles in almost every country, where legislation was passed decades ago with the objective of promoting financially-capable ventures and protecting investors. Access to capital has become more difficult after the global economic recession of 2008, and for most countries it will not get easier in the near future, leaving start-ups and small enterprises with few options to start or expand their operations. In this study we attempt to answer the following research questions: how has equity-based crowdfunding evolved since its creation? Where and how has equity-based crowdfunding been implemented so far? What are the constraints and opportunities for implementing equity-crowdfunding in the world, and more particularly in Portugal? Finally, we will discuss the risks of crowdfunding and reflect on the future of this industry.

An automated framework for the management of P2P traffic in ISP infrastructures

Peer-to-Peer (P2P) is nowadays a widely used paradigm underpinning the deployment of several Internet services and applications. However, the management of P2P traffic aggregates is not an easy task for Internet Service Providers (ISPs). In this perspective, and considering an expectable proliferation in the use of such ap- plications, future networks require the development of smart mechanisms fostering an easier coexistence between P2P applications and ISP infrastructures. This paper aims to contribute for such research efforts presenting a framework incorporating useful mechanisms to be activated by network administrators, being also able to operate as an automated management tool dealing with P2P traffic aggregates.

A hybrid MAC Scheme to improve the transmission performance in body sensor networks

Wireless body sensor networks (WBSNs) constitute a key technology for closing the loop between patients and healthcare providers, as WBSNs provide sensing ability, as well as mobility and portability, essential characteristics for wide acceptance of wireless healthcare technology. However, one important and difficult aspect of WBSNs is to provide data transmissions with quality of service, among other factors due to the antennas being small size and placed close to the body. Such transmissions cannot be fully provided without the assumption of a MAC protocol that solves the problems of the medium sharing. A vast number of MAC protocols conceived for wireless networks are based on random or scheduled schemes. This paper studies firstly the suitability of two MAC protocols, one using CSMA and the other TDMA, to transmit directly to the base station the signals collected continuously from multiple sensor nodes placed on the human body. Tests in a real scenario show that the beaconed TDMA MAC protocol presents an average packet loss ratio lower than CSMA. However, the average packet loss ratio is above 1.0 %. To improve this performance, which is of vital importance in areas such as e-health and ambient assisted living, a hybrid TDMA/CSMA scheme is proposed and tested in a real scenario with two WBSNs and four sensor nodes per WBSN. An average packet loss ratio lower than 0.2 % was obtained with the hybrid scheme. To achieve this significant improvement, the hybrid scheme uses a lightweight algorithm to control dynamically the start of the superframes. Scalability and traffic rate variation tests show that this strategy allows approximately ten WBSNs operating simultaneously without significant performance degradation.

Concurrency detection on finish-to-start activity precedence networks

We explore the finish-to-start precedence relations of project activities used in scheduling problems. From these relations, we devise a method to identify groups of activities that could execute concurrently, i.e. activities in the same group can all execute in parallel. The method derives a new set of relations to describe the concurrency. Then, it is represented by an undirected graph and the maximal cliques problem identifies the groups. We provide a running example with a project from our previous studies in resource constrained project cost minimization together with an example application on the concurrency detection method: the evaluation of the resource stress.