Control system for actuation and sensing in digital microfluidics devices

Digital Microfluidics (DMF) is a second generation technique, derived from the conventional microfluidics that instead of using continuous liquid fluxes, it uses only individual droplets driven by external electric signals. In this thesis a new DMF control/sensing system for visualization, droplet control (movement, dispensing, merging and splitting) and real time impedance measurement have been developed. The software for the proposed system was implemented in MATLAB with a graphical user interface. An Arduino was used as control board and dedicated circuits for voltage switching and contacts were designed and implemented in printed circuit boards. A high resolution camera was integrated for visualization. In our new approach, the DMF chips are driven by a dual-tone signal where the sum of two independent ac signals (one for droplet operations and the other for impedance sensing) is applied to the electrodes, and afterwards independently evaluated by a lock-in amplifier. With this new approach we were able to choose the appropriated amplitudes and frequencies for the different proposes (actuation and sensing). The measurements made were used to evaluate the real time droplet impedance enabling the knowledge of its position and velocity. This new approach opens new possibilities for impedance sensing and feedback control in DMF devices.

A piezoelectric based energy harvester interface for a CMOS wireless sensor IC

In this thesis a piezoelectric energy harvesting system, responsible for regulating the power output of a piezoelectric transducer subjected to ambient vibration, is designed to power an RF receiver with a 6 mW power consump-tion. The electrical characterisation of the chosen piezoelectric transducer is the starting point of the design, which subsequently presents a full-bridge cross-coupled rectifier that rectifies the AC output of the transducer and a low-dropout regulator responsible for delivering a constant voltage system output of 0.6 V, with low voltage ripple, which represents the receiver’s required sup-ply voltage. The circuit is designed using CMOS 130 nm UMC technology, and the system presents an inductorless architecture, with reduced area and cost. The electrical simulations run for the complete circuit lead to the conclusion that the proposed piezoelectric energy harvesting system is a plausible solution to power the RF receiver, provided that the chosen transducer is subjected to moderate levels of vibration.

Risk of employing an evolvable production system

Nowadays manufacturing companies are facing a more challenging environment due to the unpredictability of the markets in order to survive. Enterprises need to keep innovating and deliver products with new internal or external characteristics. There are strategies and solutions, to different organisational level from strategic to operational, when technology is growing faster in operational level, more specifically in manufacturing system. This means that companies have to deal with the changes of the emergent manufacturing systems while it can be expensive and not easy to be implement. An agile manufacturing system can help to cope with the markets changeability. Evolvable Production Systems (EPS) is an emergent paradigm which aims to bring new solutions to deal with changeability. The proposed paradigm is characterised by modularity and intends to introduce high flexibility and dynamism at shop floor level through the use of the evolution of new computational devices and technology. This new approach brings to enterprises the ability to plug and unplug new devices and allowing fast reformulation of the production line without reprogramming. There is no doubt about the advantages and benefits of this emerging technology but the feasibility and applicability is still under questioned. Most researches in this area are focused on technical side, explaining the advantages of those systems while there are no sufficient works discussing the implementation risks from different perspective, including business owner. The main objective of this work is to propose a methodology and model to identify, classify and measure potential risk associated with an implementation of this emergent paradigm. To quantify the proposed comprehensive risk model, an Intelligent Decision system is developed employing Fuzzy Inference System to deal with the knowledge of experts, as there are no historical data and sufficient research on this area. The result can be the vulnerability assessment of implementing EPS technology in manufacturing companies when the focus is more on SMEs. The present dissertation used the experts’ knowledge and experiences, who were involved in FP7 project IDEAS, which is one of the leading projects in this area.

Escolha de indicadores para um relatório

This dissertation is aimed at helping organizations that implemented a Business Intelligence (BI) system without documenting to identify the reasons for the indicators choice either in the conception phase of the project or other. The example taken to present the methodology is a fictitious case study of an organization named BestBread. The aim of this dissertation is to demonstrate not only the necessary indicators in a report but also to describe why they are needed through a business goal representation. This dissertation approach focus mainly in using two methodologies, a simplified notation of the Business Intelligence model (BIM) and a systematic approach that aims to justify BI indicators through modelling report goals. This approach provides guidance to organizations that already implemented a BI tool by presenting a method to compare intuitive and systematic selection of indicators with the BI system existing indicators. The approach is applicable to define in a report its significant indicators. The steps needed to be executed are the following: 1- Model business goals; 2- Select indicators through an intuitive perspective; 3- Verify the indicators existence identified in the intuitive perspective; 4- Select indicators through a systematic perspective; 5- Verify the indicators existence identified in the systematic perspective; 6- Make a global comparison. The dissertation approach allowed an easier way to identify and explain the purpose of indicators to be used in a report. Also, the methodology presented could help the BI deployment phase to be quicker since users would be able to visualise through the representations the evaluation that the indicators could evoke in their business goals. Therefore, it could improve the use of the BI tool, its acceptance and maybe even users’ satisfaction with the tool.

An evolutionary multi-objective optimization system for earthworks

Earthworks involve the levelling or shaping of a target area through the moving or processing of the ground surface. Most construction projects require earthworks, which are heavily dependent on mechanical equipment (e.g., excavators, trucks and compactors). Often, earthworks are the most costly and time-consuming component of infrastructure constructions (e.g., road, railway and airports) and current pressure for higher productivity and safety highlights the need to optimize earthworks, which is a nontrivial task. Most previous attempts at tackling this problem focus on single-objective optimization of partial processes or aspects of earthworks, overlooking the advantages of a multi-objective and global optimization. This work describes a novel optimization system based on an evolutionary multi-objective approach, capable of globally optimizing several objectives simultaneously and dynamically. The proposed system views an earthwork construction as a production line, where the goal is to optimize resources under two crucial criteria (costs and duration) and focus the evolutionary search (non-dominated sorting genetic algorithm-II) on compaction allocation, using linear programming to distribute the remaining equipment (e.g., excavators). Several experiments were held using real-world data from a Portuguese construction site, showing that the proposed system is quite competitive when compared with current manual earthwork equipment allocation.

Combining data mining and evolutionary computation for multi-criteria optimization of earthworks

Earthworks tasks aim at levelling the ground surface at a target construction area and precede any kind of structural construction (e.g., road and railway construction). It is comprised of sequential tasks, such as excavation, transportation, spreading and compaction, and it is strongly based on heavy mechanical equipment and repetitive processes. Under this context, it is essential to optimize the usage of all available resources under two key criteria: the costs and duration of earthwork projects. In this paper, we present an integrated system that uses two artificial intelligence based techniques: data mining and evolutionary multi-objective optimization. The former is used to build data-driven models capable of providing realistic estimates of resource productivity, while the latter is used to optimize resource allocation considering the two main earthwork objectives (duration and cost). Experiments held using real-world data, from a construction site, have shown that the proposed system is competitive when compared with current manual earthwork design.

Impacto da alteração de um sistema de turnos semicontínuo para laboração contínua

Dissertação de mestrado integrado em Psicologia

Seismic retrofit of masonry-to-timber connections in historical constructions

Tese de Doutoramento em Engenharia Civil.

The Data Mining applied for the prediction of highway roughness due to overloaded trucks

Currently, the quality of the Indonesian national road network is inadequate due to several constraints, including overcapacity and overloaded trucks. The high deterioration rate of the road infrastructure in developing countries along with major budgetary restrictions and high growth in traffic have led to an emerging need for improving the performance of the highway maintenance system. However, the high number of intervening factors and their complex effects require advanced tools to successfully solve this problem. The high learning capabilities of Data Mining (DM) are a powerful solution to this problem. In the past, these tools have been successfully applied to solve complex and multi-dimensional problems in various scientific fields. Therefore, it is expected that DM can be used to analyze the large amount of data regarding the pavement and traffic, identify the relationship between variables, and provide information regarding the prediction of the data. In this paper, we present a new approach to predict the International Roughness Index (IRI) of pavement based on DM techniques. DM was used to analyze the initial IRI data, including age, Equivalent Single Axle Load (ESAL), crack, potholes, rutting, and long cracks. This model was developed and verified using data from an Integrated Indonesia Road Management System (IIRMS) that was measured with the National Association of Australian State Road Authorities (NAASRA) roughness meter. The results of the proposed approach are compared with the IIRMS analytical model adapted to the IRI, and the advantages of the new approach are highlighted. We show that the novel data-driven model is able to learn (with high accuracy) the complex relationships between the IRI and the contributing factors of overloaded trucks

Levitação literal na arquitetura: Desenvolvimento de um sistema de caixilharia Panoramah! com sistema de elevação eletromagnético

Tese de Mestrado Ciclo de Estudos Integrados Conducentes ao Grau de Mestre em Arquitectura Área de Especialização: Construção e Tecnologia

Perfeccionamiento de las metodologías docentes en la enseñanza de la construcción mixta en grado y postgrado en la Universidad Politécnica de Cataluña (UPC) y la Universidad de Camaguey (UC)

Estudio elaborado a partir de una estancia en la Universitat Polictecnica de Cataluña entre marzo i junio del 2007.El proyecto tiene como objetivo general el perfeccionamiento de las metodologías docentes en la enseñanza de la construcción mixta en grado y postgrado en la Universidad Politécnica de Cataluña (UPC) y la Universidad de Camagüey (UC), en correspondencia con la situación actual y perspectiva de la normativa europea, española y cubana. En el trabajo se realiza una valoración sobre programas experimentales en estructuras mixtas y sus resultados, así como su interrelación con la modelación numérica. Se evalúa la correspondencia entre las normativas europeas, española y cubana y se definen los aspectos específicos que deben ser perfeccionados o complementados en la normatividad vigente en Cuba, así como la estrategia general para acometerlo. Para caracterizar la enseñanza de la construcción mixta en la UPC y la UC, se parte de la valoración de información sobre asignaturas similares en un grupo seleccionado de universidades y sobre el contexto que sirve de marco al perfeccionamiento. Se realiza el diagnostico del sistema de objetivos, conocimientos y organización metodológica en los programas de grado y postgrado y se ofrecen recomendaciones generales para el perfeccionamiento de la enseñanza de la construcción mixta en la UPC y la UC. Finalmente, se realizan propuestas detalladas para ambas instituciones, para el perfeccionamiento de las metodologías docentes, con enfoques generales similares, respetando los criterios específicos y formatos de cada entorno. Se concibe un sistema integrado de actividades para cada asignatura, lográndose que, a pesar de las particularidades de cada contexto, el enfoque de trabajo sea coincidente en gran medida, lo que favorece la continuidad en las relaciones de colaboración entre ambas instituciones.

Disseny i implementació hardware d'algorismes de reconeixement de caràcters per comptadors d'aigua

Aquest projecte consisteix en l'estudi, comparació i implementació en hardware d'algoritmes de reconeixement de caràcters per integrar en un sistema intel·ligent de captura d'imatges. Aquest sistema, integrat per una càmera amb format i característiques específiques i que anirà acoblat a un comptador d'aigua tradicional, en captarà imatges i les enviarà per RF al punt de recepció de la companyia. L'objectiu principal consisteix en aconseguir un disseny que redueixi al màxim la quantitat d'informació per transmetre, tenint en compte les limitacions de l'entorn.

The conduction system of the heart in mice chronically infected with Trypanosoma cruzi: histopathological lesions and electrocardiographic correlations

Chronic focal and diffuse myiocarditis with interstitial fibrosis developed in Swiss outbred mice and in the inbred AKR and A/J strains of mice which were chronically infected with several Trypanosoma cruzi strains belonging to three biological types (Type I, II and III). High incidence of electrocardiographic changes with predominance of intraventricular conduction disturbances, 1st. and 2nd. degree AV block, arrhythmias, comparable with those found in human Chagas' disease, were also present. Morphological study of the conduction tissue of the heart revealed inflammatory and fibrotic changes. The presence of inflammation in the inter-atrial septum almost always coincided with the inflammatory involvement of the ventricular conduction system. Focal inflammation was associated with vacuolization and focal necrosis of the specific fibers. Most of the lesions were seen affecting the His bundel (76.3% of the cases), the right bundle branch (73.3%), AV node (43.9%) and left bundle branch (37.5%). Correlation between morphological changes in the conduction tissue and electrocardiographic alteration occured in 53.0 to 62.5% of the cases, according to the experimental groups.

The causal relationship between Individual’s choice behavior and self-reported satisfaction: the case of residential mobility in the EU

One of the most persistent and lasting debates in economic research refers to whether the answers to subjective questions can be used to explain individuals’ economic behavior. Using panel data for twelve EU countries, in the present study we analyze the causal relationship between self-reported housing satisfaction and residential mobility. Our results indicate that: i) households unsatisfied with their current housing situation are more likely to move; ii) housing satisfaction raises after a move, and; iii) housing satisfaction increases with the transition from being a renter to becoming a homeowner. Some interesting cross-country differences are observed. Our findings provide evidence in favor of use of subjective indicators of satisfaction with certain life domains in the analysis of individuals’ economic conduct.

Maternal coping, appraisals and adjustment following diagnosis of fetal anomaly.

OBJECTIVE: So far, associations between appraisals, maternal adjustment and coping following diagnosis of fetal anomaly have not been investigated in women who continue with their pregnancy. METHOD: This study measured maternal coping and adjustment after and appraisal of a diagnosis of fetal anomaly in 40 mothers who had continued with their pregnancy using a cross-sectional questionnaire design. RESULTS: Based on retrospective reporting, 35% of participants met full diagnostic criteria for post-traumatic stress disorder after having received the diagnosis. Women were significantly more depressed (p < 0.001) and anxious (p < 0.001) and reported significantly less positive affect (p < 0.05) after having received the diagnosis in comparison to the time after childbirth. There were no significant differences between emotion-focused and problem-focused coping. Stressful life events, women's age, number of people providing support and problem-focused coping explained 57.6% of variance in anxiety and depression after childbirth. Satisfaction with social support, emotion-focused coping and problem-focused coping significantly explained 40.6% of variance in positive affect after childbirth. CONCLUSION: Following a prenatal diagnosis and for the remainder of their pregnancy, particular attention should be paid to older mothers, those experiencing additional stressful life events and those who are socially isolated, as these women may experience greater distress after childbirth.