Tuning Iris Recognition for Noisy Images

The use of iris recognition for human authentication has been spreading in the past years. Daugman has proposed a method for iris recognition, composed by four stages: segmentation, normalization, feature extraction, and matching. In this paper we propose some modifications and extensions to Daugman's method to cope with noisy images. These modifications are proposed after a study of images of CASIA and UBIRIS databases. The major modification is on the computationally demanding segmentation stage, for which we propose a faster and equally accurate template matching approach. The extensions on the algorithm address the important issue of pre-processing that depends on the image database, being mandatory when we have a non infra-red camera, like a typical WebCam. For this scenario, we propose methods for reflection removal and pupil enhancement and isolation. The tests, carried out by our C# application on grayscale CASIA and UBIRIS images show that the template matching segmentation method is more accurate and faster than the previous one, for noisy images. The proposed algorithms are found to be efficient and necessary when we deal with non infra-red images and non uniform illumination.

GA topology optimization using random keys for tree encoding of structures

Topology optimization consists in finding the spatial distribution of a given total volume of material for the resulting structure to have some optimal property, for instance, maximization of structural stiffness or maximization of the fundamental eigenfrequency. In this paper a Genetic Algorithm (GA) employing a representation method based on trees is developed to generate initial feasible individuals that remain feasible upon crossover and mutation and as such do not require any repairing operator to ensure feasibility. Several application examples are studied involving the topology optimization of structures where the objective functions is the maximization of the stiffness and the maximization of the first and the second eigenfrequencies of a plate, all cases having a prescribed material volume constraint.

Ensaios de carga em Portugal: viabilidade de normalização

Esta Dissertação de Mestrado subordina-se ao tema: “Normalização de Ensaios de Carga”, sendo esta uma temática pouco desenvolvida em Portugal e para a qual não existe qualquer legislação. Os ensaios de carga são realizados em Portugal sem que haja uma legislação que normalize a sua realização e por isso cada entidade segue a sua metodologia nomeadamente entidades como o Laboratório Nacional de Engenharia Civil (LNEC) ou a Faculdade de Engenharia da Universidade do Porto (FEUP). Os objectivos principais deste trabalho são o estudo da legislação estrangeira existente para ensaios de carga e o seu confronto com as metodologias seguidas em Portugal, com o intuito de identificar aspectos consensuais e controversos e definir questões que possam ser transpostas para um documento normativo português. Este trabalho inicia-se com uma pesquisa bibliográfica, através da qual vão ser abordados conceitos básicos sobre os ensaios de carga como os seus objectivos, os tipos de ensaios ou o modo de tratamento de resultados e será elaborada uma breve resenha histórica dos ensaios de carga. É estudada a legislação existente noutros países, seleccionando-se os aspectos mais relevantes. São também abordadas as metodologias adoptadas por diversas entidades em Portugal como o LNEC e a FEUP. Por último, numa vertente mais analítica serão seleccionados os aspectos mais relevantes da legislação internacional e será estabelecido o confronto com as metodologias seguidas em Portugal de maneira a identificar aspectos relevantes a constar num documento normativo a elaborar futuramente em Portugal.

Virtual communities of practice: investigating motivations and constraints in the processes of knowledge creation and transfer

With accelerated market volatility, faster response times and increased globalization, business environments are going through a major transformation and firms have intensified their search for strategies which can give them competitive advantage. This requires that companies continuously innovate, to think of new ideas that can be transformed or implemented as products, processes or services, generating value for the firm. Innovative solutions and processes are usually developed by a group of people, working together. A grouping of people that share and create new knowledge can be considered as a Community of Practice (CoP). CoP’s are places which provide a sound basis for organizational learning and encourage knowledge creation and acquisition. Virtual Communities of Practice (VCoP's) can perform a central role in promoting communication and collaboration between members who are dispersed in both time and space. Nevertheless, it is known that not all CoP's and VCoP's share the same levels of performance or produce the same results. This means that there are factors that enable or constrain the process of knowledge creation. With this in mind, we developed a case study in order to identify both the motivations and the constraints that members of an organization experience when taking part in the knowledge creating processes of VCoP's. Results show that organizational culture and professional and personal development play an important role in these processes. No interviewee referred to direct financial rewards as a motivation factor for participation in VCoPs. Most identified the difficulty in aligning objectives established by the management with justification for the time spent in the VCoP. The interviewees also said that technology is not a constraint.

Caracterização de regiões encefálicas no cérebro normal por tensor de difusão e aplicação à epilepsia pós-traumática

Mestrado em Radiações Aplicadas às Tecnologias da Saúde.

Implications of the LHC two-photon signal for two-Higgs-doublet models

We study the implications for two-Higgs-doublet models of the recent announcement at the LHC giving a tantalizing hint for a Higgs boson of mass 125 GeV decaying into two photons. We require that the experimental result be within a factor of 2 of the theoretical standard model prediction, and analyze the type I and type II models as well as the lepton-specific and flipped models, subject to this requirement. It is assumed that there is no new physics other than two Higgs doublets. In all of the models, we display the allowed region of parameter space taking the recent LHC announcement at face value, and we analyze the W+W-, ZZ, (b) over barb, and tau(+)tau(-) expectations in these allowed regions. Throughout the entire range of parameter space allowed by the gamma gamma constraint, the numbers of events for Higgs decays into WW, ZZ, and b (b) over bar are not changed from the standard model by more than a factor of 2. In contrast, in the lepton-specific model, decays to tau(+)tau(-) are very sensitive across the entire gamma gamma-allowed region.

O efeito da drenagem linfática manual e das bandas neuromusculares na reabilitação pós-lipoaspiração para reconstrução mamária: estudo de caso

Introdução – A reconstrução mamária, no processo pós-cancro da mama, poderá ser levada a cabo através da lipoaspiração cujas consequências poderão ser ultrapassadas através da fisioterapia. Objetivo – Verificar, num estudo de caso, os resultados da drenagem linfática manual (DLM) e das bandas neuromusculares (BNM) na dor, edema, hematoma e pigmentação do abdómen e mamas após lipoaspiração para reconstrução mamária. Metodologia – Uma paciente foi sujeita a 10 sessões de fisioterapia com aplicação de DLM e BNM. Em cada sessão foram avaliados, nas mamas e no abdómen, a dor, o edema, o hematoma e a pigmentação. Resultados – Eliminação da dor, desaparecimento do hematoma abdominal, normalização da pigmentação mamária e diminuição do edema. Conclusão – Neste estudo de caso, a DLM e as BNM melhoram as consequências no pós-cirúrgico de lipoaspiração para reconstrução mamária. ABSTRACT - Introduction – Breast reconstruction, post breast cancer, can be carried out through liposuction which consequences may be overcomed through physiotherapy. Objective – Check, in a study case, the results of manual lymphatic drainage (MLD) and neuromuscular bandages (NMB) in pain, edema, bruising and pigmentation on abdomen and breasts, after liposuction for breast reconstruction. Methodology – A patient underwent 10 sessions of physiotherapy with application of MLD and NMB. In each session were evaluated breast and abdomen pain, edema, bruising and pigmentation. Results – Elimination of pain, disappearance of abdominal hematoma, normalization of breast pigmentation and reduction of edema. Conclusion – In this study case, MLD and NMB improve the consequences of post-surgical liposuction for breast reconstruction.

A Contabilidade criativa e o sistema de normalização contabilística

Jornadas de Contabilidade e Fiscalidade promovidas pelo Instituto Superior de Contabilidade e Administração do Porto, em Abril de 2009

Novos rumos do direito contabilístico: confronto entre a reforma espanhola e o SNC português

Jornadas de Contabilidade e Fiscalidade promovidas pelo Instituto Superior de Contabilidade e Administração do Porto, em Abril de 2009

Estudo da norma contabilística e de relato financeiro nº 13 – interesses em empreendimentos conjuntos e investimentos em associadas e suas implicações fiscais e de auditoria

Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Auditoria Orientada pelo Dr. José da Silva Fernandes

Activos fixos tangíveis numa empresa industrial do ramo automóvel transição para o SNC

Dissertação para a obtenção do grau de mestre em Contabilidade e Finanças Orientador: Mestre António Costa Reis

An integrated approach for distributed energy resource short term scheduling in smart grids considering realistic power system simulation

The large increase of distributed energy resources, including distributed generation, storage systems and demand response, especially in distribution networks, makes the management of the available resources a more complex and crucial process. With wind based generation gaining relevance, in terms of the generation mix, the fact that wind forecasting accuracy rapidly drops with the increase of the forecast anticipation time requires to undertake short-term and very short-term re-scheduling so the final implemented solution enables the lowest possible operation costs. This paper proposes a methodology for energy resource scheduling in smart grids, considering day ahead, hour ahead and five minutes ahead scheduling. The short-term scheduling, undertaken five minutes ahead, takes advantage of the high accuracy of the very-short term wind forecasting providing the user with more efficient scheduling solutions. The proposed method uses a Genetic Algorithm based approach for optimization that is able to cope with the hard execution time constraint of short-term scheduling. Realistic power system simulation, based on PSCAD , is used to validate the obtained solutions. The paper includes a case study with a 33 bus distribution network with high penetration of distributed energy resources implemented in PSCAD .

Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems

This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzyprobabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.

Training control centers' operators in incident diagnosis and power restoration using intelligent tutoring systems

The activity of Control Center operators is important to guarantee the effective performance of Power Systems. Operators’ actions are crucial to deal with incidents, especially severe faults like blackouts. In this paper, we present an Intelligent Tutoring approach for training Portuguese Control Center operators in tasks like incident analysis and diagnosis, and service restoration of Power Systems. Intelligent Tutoring System (ITS) approach is used in the training of the operators, having into account context awareness and the unobtrusive integration in the working environment. Several Artificial Intelligence techniques were criteriously used and combined together to obtain an effective Intelligent Tutoring environment, namely Multiagent Systems, Neural Networks, Constraint-based Modeling, Intelligent Planning, Knowledge Representation, Expert Systems, User Modeling, and Intelligent User Interfaces.

Impact of the background Region of Interest in the relative renal function

Renal scintigraphy with 99mTc-dimercaptosuccinic acid (99mTc-DMSA) is performed with the aim of detect cortical abnormalities related to urinary tract infection and accurately quantify relative renal function (RRF). For this quantitative assessment Nuclear Medicine Technologist should draw regions of interest (ROI) around each kidney (KROI) and peri-renal background (BKG) ROI although controversy still exists about BKG-ROI. The aim of this work was to evaluate the effect of the normalization procedure, number and location of BKG-ROI on the RRF in 99mTc-DMSA scintigraphy.