Sensor Integration for Smart Cities Using Multi-Hop Networks

Smart Cities are designed to be living systems and turn urban dwellers life more comfortable and interactive by keeping them aware of what surrounds them, while leaving a greener footprint. The Future Cities Project [1] aims to create infrastructures for research in smart cities including a vehicular network, the BusNet, and an environmental sensor platform, the Urban Sense. Vehicles within the BusNet are equipped with On Board Units (OBUs) that offer free Wi-Fi to passengers and devices near the street. The Urban Sense platform is composed by a set of Data Collection Units (DCUs) that include a set of sensors measuring environmental parameters such as air pollution, meteorology and noise. The Urban Sense platform is expanding and receptive to add new sensors to the platform. The parnership with companies like TNL were made and the need to monitor garbage street containers emerged as air pollution prevention. If refuse collection companies know prior to the refuse collection which route is the best to collect the maximum amount of garbage with the shortest path, they can reduce costs and pollution levels are lower, leaving behind a greener footprint. This dissertation work arises in the need to monitor the garbage street containers and integrate these sensors into an Urban Sense DCU. Due to the remote locations of the garbage street containers, a network extension to the vehicular network had to be created. This dissertation work also focus on the Multi-hop network designed to extend the vehicular network coverage area to the remote garbage street containers. In locations where garbage street containers have access to the vehicular network, Roadside Units (RSUs) or Access Points (APs), the Multi-hop network serves has a redundant path to send the data collected from DCUs to the Urban Sense cloud database. To plan this highly dynamic network, the Wi-Fi Planner Tool was developed. This tool allowed taking measurements on the field that led to an optimized location of the Multi-hop network nodes with the use of radio propagation models. This tool also allowed rendering a temperature-map style overlay for Google Earth [2] application. For the DCU for garbage street containers the parner company provided the access to a HUB (device that communicates with the sensor inside the garbage containers). The Future Cities use the Raspberry pi as a platform for the DCUs. To collect the data from the HUB a RS485 to RS232 converter was used at the physical level and the Modbus protocol at the application level. To determine the location and status of the vehicles whinin the vehicular network a TCP Server was developed. This application was developed for the OBUs providing the vehicle Global Positioning System (GPS) location as well as information of when the vehicle is stopped, moving, on idle or even its slope. To implement the Multi-hop network on the field some scripts were developed such as pingLED and “shark”. These scripts helped upon node deployment on the field as well as to perform all the tests on the network. Two setups were implemented on the field, an urban setup was implemented for a Multi-hop network coverage survey and a sub-urban setup was implemented to test the Multi-hop network routing protocols, Optimized Link State Routing Protocol (OLSR) and Babel.

Teorias e modelos organizacionais

Este trabalho propõe-se a investigar as teorias e modelos organizacionais e a respetiva aplicabilidade nas organizações portuguesas. Após a revisão da literatura sobre modelos organizacionais, foi efetuada uma investigação quantitativa através de um questionário online com a finalidade de avaliar quais os modelos organizacionais predominantemente utilizados e quais as características organizacionais que levam à utilização de determinado modelo. Através de métodos estatísticos analisaram-se os resultados do inquérito com o objetivo de verificar a existência de possíveis relações entre diversas características das organizações e o modelo organizacional usado. Foi possível concluir que o modelo organizacional Burocrático é o modelo predominantemente utilizado pelos respondentes e que as organizações que adotam o modelo burocrático parecem conseguir implementar processos sistemáticos de inovação compatibilizando as regras e procedimentos com a capacidade para aprender e se adaptar. O setor de atividade e a dimensão das organizações são as variáveis que mais influenciam a adoção do modelo organizacional. A investigação contribui para o conhecimento teórico e pratico sobre modelos organizacionais e sobre a sua aplicação em diferentes tipos de organizações portuguesas e para a compreensão e capacitação dos engenheiros do tema da cultura organizacional, de modo a poderem trabalhar de forma efetiva em grupos multidisciplinares que criem valor para as respetivas organizações, inovando e aplicando a engenharia e tecnologia para lidar com as questões e desafios atuais referidos pelo relatório da UNESCO (1).

Embedded Multi-Core systems for Mixed Criticality applications in dynamic and changeable real-time environments

EMC2 finds solutions for dynamic adaptability in open systems. It provides handling of mixed criticality multicore applications in r eal-time conditions, withscalability and utmost flexibility, full-scale deployment and management of integrated tool chains, through the entire lifecycle.

A multi-objective optimization of the active and reactive resource scheduling at a distribution level in a smart grid context

In the traditional paradigm, the large power plants supply the reactive power required at a transmission level and the capacitors and transformer tap changer were also used at a distribution level. However, in a near future will be necessary to schedule both active and reactive power at a distribution level, due to the high number of resources connected in distribution levels. This paper proposes a new multi-objective methodology to deal with the optimal resource scheduling considering the distributed generation, electric vehicles and capacitor banks for the joint active and reactive power scheduling. The proposed methodology considers the minimization of the cost (economic perspective) of all distributed resources, and the minimization of the voltage magnitude difference (technical perspective) in all buses. The Pareto front is determined and a fuzzy-based mechanism is applied to present the best compromise solution. The proposed methodology has been tested in the 33-bus distribution network. The case study shows the results of three different scenarios for the economic, technical, and multi-objective perspectives, and the results demonstrated the importance of incorporating the reactive scheduling in the distribution network using the multi-objective perspective to obtain the best compromise solution for the economic and technical perspectives.

Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models, respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform provides the means for the exemplification of the usefulness of this ontology. A case study using the proposed multi-agent platform is presented, considering a scenario based on real data that simulates the European Electricity Market environment, and comparing its performance using different market mechanisms. The main goal is to demonstrate the advantages that the integration of various market models and simulation platforms have for the study of the electricity markets’ evolution.

A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers

In this paper, we formulate the electricity retailers’ short-term decision-making problem in a liberalized retail market as a multi-objective optimization model. Retailers with light physical assets, such as generation and storage units in the distribution network, are considered. Following advances in smart grid technologies, electricity retailers are becoming able to employ incentive-based demand response (DR) programs in addition to their physical assets to effectively manage the risks of market price and load variations. In this model, the DR scheduling is performed simultaneously with the dispatch of generation and storage units. The ultimate goal is to find the optimal values of the hourly financial incentives offered to the end-users. The proposed model considers the capacity obligations imposed on retailers by the grid operator. The profit seeking retailer also has the objective to minimize the peak demand to avoid the high capacity charges in form of grid tariffs or penalties. The non-dominated sorting genetic algorithm II (NSGA-II) is used to solve the multi-objective problem. It is a fast and elitist multi-objective evolutionary algorithm. A case study is solved to illustrate the efficient performance of the proposed methodology. Simulation results show the effectiveness of the model for designing the incentive-based DR programs and indicate the efficiency of NSGA-II in solving the retailers’ multi-objective problem.

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.

Question order and context effects on multi-items scales questions

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Melhoria da qualidade para modelos orientados a objectivos: o caso da abordagem KAOS

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Impact of multi-metals (Cd, Pb and Zn) exposure on the physiology of the yeast Pichia kudriavzevii

Metal contamination of the environment is frequently associated to the presence of two or more metals. This work aimed to study the impact of a mixture of metals (Cd, Pb and Zn) on the physiology of the non-conventional yeast Pichia kudriavzevii. The incubation of yeast cells with 5 mg/l Cd, 10 mg/l Pb and 5 mg/l Zn, for 6 h, induced a loss of metabolic activity (assessed by FUN-1 staining) and proliferation capacity (evaluated by a clonogenic assay), with a small loss of membrane integrity (measured by trypan blue exclusion assay). The staining of yeast cells with calcofluor white revealed that no modification of chitin deposition pattern occurred during the exposure to metal mixture. Extending for 24 h, the exposure of yeast cells to metal mixture provoked a loss of membrane integrity, which was accompanied by the leakage of intracellular components. A marked loss of the metabolic activity and the loss of proliferation capacity were also observed. The analysis of the impact of a single metal has shown that, under the conditions studied, Pb was the metal responsible for the toxic effect observed in the metal mixture. Intracellular accumulation of Pb seems to be correlated with the metals' toxic effects observed.

Contribuição para o desenvolvimento de modelos de previsão de fendilhamento de pavimentos rodoviários

Dissertação para obtenção do Grau de Mestre em Engenharia Civil

Modelos lineares gerais

Neste testo procede-se a uma apresentação muito sumária dos modelos lineares generalizados. Começa-se assim por definir esta família de modelos, apresentando-se então o processo de estimação dos seus parâmetros bem como o conceito de desvio (“deviance”). Finalmente exemplifica-se as potencialidades destes modelos com base num exemplo prático, procurando-se simultaneamente ilustrar o funcionamento do programa GLIM, especialmente concebido para lidar com modelos lineares generalizados.

Modelos de sobrevivência

A Análise de Sobrevivência engloba um conjunto de modelos e métodos destinados à análise estatística de dados que representam o tempo de vida para um grupo de indivíduos ou, mais geralmente, o tempo decorrido desde um instante inicial até à ocorrência de um determinado acontecimento. Portanto, tempo de vida ou tempo de sobrevivência pode ser usado simplesmente para designar uma variável aleatória não negativa. No entanto, o que distingue fundamentalmente a Análise de Sobrevivência de outras áreas da Estatística é a possível existência de dados censurados, correspondentes a indivíduos para os quais não foi observado todo o seu tempo de vida.

Linearidade e não linearidade em modelos para sucessões cronológicas

A maioria dos métodos clássicos de análise de uma sucessão cronológica baseia-se nas seguintes hipóteses fundamentais: estacionaridade, linearidade e gaussianidade da sucessão. Estas hipóteses são idealizações matemáticas que em alguns casos são apenas válidas como a aproximação à realidade. Nesse sentido, será natural em situações práticas proceder a ensaios onde essas hipóteses sejam testadas.

Modelos de estimação em contexto de não respostas

Neste texto apresenta-se algumas estratégias para se lidar com as não-respostas. Como veremos, o enviesamento cresce com a taxa de não-respostas. É difícil contudo, encontrar medidas objectivas do enviesamento, embora seja relativamente simples quantificar a extensão das não-respostas. Para minimizar os seus efeitos, apresentam-se estimadores que se apoiam em modelos de resposta.