Predisposition assessment modelling

Dissertation submitted for obtaining the degree of Master in Environmental Engineering

Understanding the microbial ecology and ecophysiology of enhanced biological phosphorus removal processes through metabolic modelling and experimental studies

Dissertation to obtain the degree of Master in Chemical and Biochemical Engineering

Service-oriented infrastructure to support the control, monitoring and management of a shop floor system

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Monitoring and modelling of membrane bioreactors for wastewater treatment incorporating 2D fluorescence spectroscopy

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica, Especialidade em Engenharia Bioquímica

Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production

Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica

Clearing the cloudy crystal balls: Hybrid modelling for energy and climate change mitigation scenarios – A case study for Portugal

Dissertação para obtenção do Grau de Doutor em Ambiente

Contributo para a validação da versão portuguesa do instrumento de avaliação VOICE (service users perceptions of impatient care, Views on Inpatient Care)

RESUMO: Nos últimos anos assistiu-se a um reposicionamento das pessoas portadoras de doença mental na sociedade, no sentido de viverem em pleno os seus direitos, sem restrições. Esta tendência acompanhou as transformações que se têm vivido na forma como os utentes dos serviços de saúde interagem com os mesmos e com os profissionais de saúde, de forma a permitir uma maior autonomização e responsabilização no que concerne ao tratamento da sua doença, a relação que estabelecem com o seu médico, e a participação na avaliação e monitorização da qualidade dos serviços. Mais recentemente, também no mundo científico, esta afirmação se fez sentir, com o surgimento de investigação liderada por utentes, no sentido de estudar de forma adequada questões que partem do seu ponto de vista, e que possibilitem a produção de conhecimento significativa no contexto das suas experiências. Com o presente trabalho pretende-se contribuir para a validação da versão portuguesa do VOICE (Service Users’ Perceptions of Inpatient Care, Views on Inpatient Care) (Evans et al., 2012), instrumento para a avaliação dos serviços de internamento de agudos em psiquiatria, construído a partir de um investigação liderado por utentes e partindo das suas perspectiva. O VOICE é constituído por 19 questões, agrupadas em sete domínios: admissão; cuidados e tratamento; medicação; equipa de técnicos do internamento; terapia e atividades; ambiente e diferenças. O presente estudo envolveu uma amostra de 85 utentes de um serviço de internamento de agudos de uma instituição psiquiátrica do Norte de Portugal. A versão portuguesa do VOICE apresentou boa aceitação por parte dos utentes e boas características psicométricas - a consistência interna foi alta (α = 0,87) e todos, exceto um item (item 6), apresentam elevadas correlações item-total (variando de 0,18 - item 6 a 0,71 - item 11; M = 0,54, DP = 0,15), sugerindo ser um instrumento útil na avaliação dos serviços de internamento de agudos. No futuro torna-se necessário alargar o estudo a outros contextos de internamento e envolvendo amostras mais alargadas.-------------- ABSTRACT: In recent years there has been a gradual process to help people with the experience of mental illness regaining their full rights. Following the advances in the understanding of mental health problems, and the use of medication to help patients overcome symptoms, service-users have become more autonomous and responsible in the way they deal with health professionals, and are now called to participate in assessing and monitoring mental health services and policies. In the context of these transformations we have assisted to the emergence of research led by service-users (in this case of psychiatric and mental health services) in order to emphasize their point of view, and to enable the production of significant knowledge resulting from their experiences, and perceptions. The present study aims to contribute to the dissemination of service-user led research, based on the adaptation and validation of the Portuguese version of the VOICE - Service Users' Perceptions Questionnaire, Views on Inpatient Care. (Evans et al., 2012). The VOICE is composed of 19 questions, grouped in seven domains: admissions, care and treatment, medication, team of technicians during hospitalization, therapy and activities, environment and diversity. The present study involved a sample of 85 inpatient of a psychiatric institution in Northern Portugal. The Portuguese version of the VOICE showed good psychometric properties and was well accepted by patients [high internal consistency (α = 0,87); and high correlation of each item, except item 6, with the total score (ranging from 0.18 on item 6 to 0.71 on item 11; average=0,54; SD=0,15), suggesting it to be a useful tool for assessing inpatient services. In the future there is a need to extend the study to other contexts and include larger samples.

Modelling of a wastewater treatment plant using GPS-X

Dissertation to obtain the degree of Master in Chemical and Biochemical Engineering

Differences in ERP use and value across Iberian Manufacturing and Services SMEs

Enterprise Resource Planning (ERP) system literature reports very little research on post-adoption stages, that is, actual usage and value. Even fewer studies focus on the specificities of an industry analysis. Based on the Technology-Organizational-Environment (TOE) framework and the Resource-Based View (RBV) theory, we develop a research model to measure and examine determinants of ERP use and value and their impact in the Iberian region (Portugal and Spain) across Manufacturing and Services industries in Small and Medium Enterprises (SMEs). The empirical test was conducted through structural equation modelling, using data from 261 firms in the peninsula in the Manufacturing and Service industries. Results show that amongst ERP use determinants, Training is the most important determinant for Service firms and Compatibility for Manufacturing firms. Firm size, Analytics, and Collaboration contribute to ERP Value in both industries, with Analytics being more important for the Service industry. The paper provides insight into which determinants contribute to ERP use and ERP value in Iberian Manufacturing and Services SMEs, offering managerial and academic implications.

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.

Achieving better service level results, through improvements in procedures

This project aims to prepare Worten Empresas (WE) fulfilling the increasing market demand through process changings, focusing on the Portuguese market, particularly on internal B2B clients1. Several methods were used to measure the current service level provided - process mapping, resources assessment, benchmark and a survey. The results were then used to compare against service level actually desired by WE’s customer, and then to identify the performance gaps in response times and quality of the follow-up during the sales process. To bridge the identified gaps, both a set of recommendations and an implementation plan were suggested to improve and monitor customer experience. This study concluded that it is possible to fulfill the increasing level of demand and at the same time improve customer satisfaction by implementing changes at the operations level.

Influence of Lean and Green on supply chain performance: an interpretive structural modelling model

This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.

Teleoperation of a service robot using a mobile device

Teleoperation is a concept born with the rapid evolution of technology, with an intuitive meaning "operate at a distance." The first teleoperation system was created in the mid 1950s, which were handled chemicals. Remote controlled systems are present nowadays in various types of applications. This dissertation presents the development of a mobile application to perform the teleoperation of a mobile service robot. The application integrates a distributed surveillance (the result of a research project QREN) and led to the development of a communication interface between the robot (the result of another QREN project) and the vigilance system. It was necessary to specify a communication protocol between the two systems, which was implemented over a communication framework 0MQ (Zero Message Queue). For the testing, three prototype applications were developed before to perform the test on the robot.

Application of geographic information system and modelling in health impact assessment for urban road mobility in Vietnam

Transport is an essential sector in modern societies. It connects economic sectors and industries. Next to its contribution to economic development and social interconnection, it also causes adverse impacts on the environment and results in health hazards. Transport is a major source of ground air pollution, especially in urban areas, and therefore contributing to the health problems, such as cardiovascular and respiratory diseases, cancer, and physical injuries. This thesis presents the results of a health risk assessment that quantifies the mortality and the diseases associated with particulate matter pollution resulting from urban road transport in Hai Phong City, Vietnam. The focus is on the integration of modelling and GIS approaches in the exposure analysis to increase the accuracy of the assessment and to produce timely and consistent assessment results. The modelling was done to estimate traffic conditions and concentrations of particulate matters based on geo-references data. A simplified health risk assessment was also done for Ha Noi based on monitoring data that allows a comparison of the results between the two cases. The results of the case studies show that health risk assessment based on modelling data can provide a much more detail results and allows assessing health impacts of different mobility development options at micro level. The use of modeling and GIS as a common platform for the integration of different assessments (environmental, health, socio-economic, etc.) provides various strengths, especially in capitalising on the available data stored in different units and forms and allows handling large amount of data. The use of models and GIS in a health risk assessment, from a decision making point of view, can reduce the processing/waiting time while providing a view at different scales: from micro scale (sections of a city) to a macro scale. It also helps visualising the links between air quality and health outcomes which is useful discussing different development options. However, a number of improvements can be made to further advance the integration. An improved integration programme of the data will facilitate the application of integrated models in policy-making. Data on mobility survey, environmental monitoring and measuring must be standardised and legalised. Various traffic models, together with emission and dispersion models, should be tested and more attention should be given to their uncertainty and sensitivity

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.