An organizational culture approach to performance in information technology micro-firms

This study aims to analyze and compare micro-firms’ organizational culture related to organizational performance. A case study methodology was used based on four firms, competitors among themselves in the Information Technology business, focusing on the years between 2008-2013. Findings pointed out many similarities to larger firms, but some specificities of micro-firms were found and propositions were defined: clan culture predominance is related to best performing micro-firms; the configuration of several culture types seemed to be the most suitable for obtaining good organizational results, provided that they do not focus only on hierarchy and market types of culture; the market culture predominance perception by employees is associated with low job satisfaction; and, after a certain time in business, micro-firms, as do larger companies, seek to standardize and control processes. Recognizing that organizational culture is considered important to firms’ results, this study sheds some light on that important factor for micro-firms.

Comparing the performance of geostatistical models with additional information from covariates for sewage plume characterization

In this work, kriging with covariates is used to model and map the spatial distribution of salinity measurements gathered by an autonomous underwater vehicle in a sea outfall monitoring campaign aiming to distinguish the effluent plume from the receiving waters and characterize its spatial variability in the vicinity of the discharge. Four different geostatistical linear models for salinity were assumed, where the distance to diffuser, the west-east positioning, and the south-north positioning were used as covariates. Sample variograms were fitted by the Mat`ern models using weighted least squares and maximum likelihood estimation methods as a way to detect eventual discrepancies. Typically, the maximum likelihood method estimated very low ranges which have limited the kriging process. So, at least for these data sets, weighted least squares showed to be the most appropriate estimation method for variogram fitting. The kriged maps show clearly the spatial variation of salinity, and it is possible to identify the effluent plume in the area studied. The results obtained show some guidelines for sewage monitoring if a geostatistical analysis of the data is in mind. It is important to treat properly the existence of anomalous values and to adopt a sampling strategy that includes transects parallel and perpendicular to the effluent dispersion.

Adaptive modeling and high quality spectral estimation for speech enhancement

In this work an adaptive modeling and spectral estimation scheme based on a dual Discrete Kalman Filtering (DKF) is proposed for speech enhancement. Both speech and noise signals are modeled by an autoregressive structure which provides an underlying time frame dependency and improves time-frequency resolution. The model parameters are arranged to obtain a combined state-space model and are also used to calculate instantaneous power spectral density estimates. The speech enhancement is performed by a dual discrete Kalman filter that simultaneously gives estimates for the models and the signals. This approach is particularly useful as a pre-processing module for parametric based speech recognition systems that rely on spectral time dependent models. The system performance has been evaluated by a set of human listeners and by spectral distances. In both cases the use of this pre-processing module has led to improved results.

Interpretative research in information systems: two qualitative research design projects

In a scientific research project is important to define the underlying philosophical orientation of the project, because this will influence the choices made in respect of scientific methods used, as well as the way they will be applied. It is crucial, therefore, that the philosophy and research design strategy are consistent with each other. These questions become even more relevant in qualitative research. Historically, the interpretive research philosophy is more associated to the scientific areas of social sciences and humanities where the subjectivity inherent to human intervention is more explicitly defined. Information systems field are, primarily, trapped in computer science field, though it also integrates issues related with management and organizations field. This shift from a purely technological guidance for the consideration of the problems of management and organizations has fostered the rise of research projects according to the interpretive philosophy and using qualitative methods. This paper explores the importance of alignment between the epistemological orientation and research design strategy, in qualitative research projects. As a result, it is presented two PhD projects, with different research design strategies, that are being developed in the technology and information systems field, in the light of the interpretive paradigm.

Impacto da infiltração e afluência de águas pluviais na rede de saneamento

A existência de contribuições significativas de águas de infiltração e de águas pluviais nas redes de drenagem de águas residuais urbanas, motivaram a realização deste trabalho. Este estudo foi realizado no sistema de saneamento de Gondomar, utilizando os registos de caudais e qualidade das águas residuais em quatro estações de tratamento de águas residuais, durante quatro anos. O principal objectivo deste trabalho foi estimar as afluências de infiltração e precipitação ao sistema de saneamento e a identificação dos subsistemas críticos. Concluiu-se que a percentagem de volume excedente é cerca de 30% nos anos com maior ocorrência de precipitação. O propósito deste estudo foi também apresentar soluções para este problema, incluindo técnicas de inspecção e reparação dos elementos de drenagem, as quais foram definidas para os subsistemas identificados como críticos, Freixo e Rio Tinto. No Freixo mostrou-se importante a inspecção dos colectores, ramais e câmaras de visita, uma vez que o caudal afluente a este subsistema é muito superior ao esperado e a água residual apresenta-se diluída. Em Rio Tinto evidenciou-se como prioritária a detecção e eliminação de ligações abusivas, dado que são frequentes as ocorrências de exfiltração, com danos significativos. Para além das técnicas de detecção apresentadas considera-se que é necessário manter a monitorização de caudais e recipitação nos subsistemas, e se possível com registo contínuo ao longo do dia. Para a quantificação de precipitação é sugerida a utilização de três udómetros, de forma a permitir estabelecer com maior exactidão, a relação entre as contribuições pluviais e o caudal afluente. São apresentadas propostas, que incluem além de inspecções, ensaios e reparações, como um ponto de partida para a recolha de informação para actualização do adastro, com vista a uma futura aplicação da modelação matemática de previsão do comportamento destes subsistemas.

Tuple-based morphisms for interoperability establishment of financial information models

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e Computadores

Modeling assembly program with constraints. A contribution to WCET problem

Dissertação para obtenção do Grau de Mestre em Lógica Computacional

Sinergias BIM-Lean na redução dos tempos de interrupção de exploração em obras de manutenção de infraestruturas de elevada utilização – um caso de estudo

Dissertação para obtenção do Grau Mestre em Engenharia Civil – Perfil de Construção

Modeling in-Hospital Patient Survival During the First 28 Days After Intensive Care Unit Admission: a Prognostic Model for Clinical Trials in General Critically Ill Patients

OBJECTIVE: The objective of the study was to develop a model for estimating patient 28-day in-hospital mortality using 2 different statistical approaches. DESIGN: The study was designed to develop an outcome prediction model for 28-day in-hospital mortality using (a) logistic regression with random effects and (b) a multilevel Cox proportional hazards model. SETTING: The study involved 305 intensive care units (ICUs) from the basic Simplified Acute Physiology Score (SAPS) 3 cohort. PATIENTS AND PARTICIPANTS: Patients (n = 17138) were from the SAPS 3 database with follow-up data pertaining to the first 28 days in hospital after ICU admission. INTERVENTIONS: None. MEASUREMENTS AND RESULTS: The database was divided randomly into 5 roughly equal-sized parts (at the ICU level). It was thus possible to run the model-building procedure 5 times, each time taking four fifths of the sample as a development set and the remaining fifth as the validation set. At 28 days after ICU admission, 19.98% of the patients were still in the hospital. Because of the different sampling space and outcome variables, both models presented a better fit in this sample than did the SAPS 3 admission score calibrated to vital status at hospital discharge, both on the general population and in major subgroups. CONCLUSIONS: Both statistical methods can be used to model the 28-day in-hospital mortality better than the SAPS 3 admission model. However, because the logistic regression approach is specifically designed to forecast 28-day mortality, and given the high uncertainty associated with the assumption of the proportionality of risks in the Cox model, the logistic regression approach proved to be superior.

Regional change in the Algarve: A Geographic Information System approach

Thesis submitted to the Instituto Superior de Estatística e Gestão de Informação da Universidade Nova de Lisboa in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Information Management – Geographic Information Systems

Guia de Implementação BIM em organizações e projetos

A adoção da metodologia BIM (Building Information Modeling) é vista como um processo transformador que engloba as empresas e os seus projetos e, em última instância, toda a Indústria da Construção Civil. Devido ao facto de que o BIM é um complexo sistema cuja implementação tem impactos sociais, técnicos e metodológicos, este tema há já alguns anos que tem sido alvo de pesquisas com o objetivo primordial de difundir as práticas associadas ao BIM nas empresas, nos seus projetos, e na indústria. Um pouco por todo mundo, várias iniciativas de entidades públicas e privadas, governamentais e não-governamentais, têm produzido guias, normas, manuais e outros documentos que funcionam como um motor propulsor da implementação BIM. O presente trabalho contém a proposta de um Guia de Implementação da Metodologia BIM, desenvolvido no contexto do um estágio curricular levado a cabo na empresa Building Information Modeling & Management Solutions (BIMMS) e que resultou do estudo e adaptação de alguns dos mais conceituados guias, normas e manuais BIM existentes e em vigor noutros países. Este documento de caráter técnico e prático foi concebido para servir o propósito de auxiliar gabinetes de Engenharia, Arquitetura, e empresas de Construção na integração do BIM na sua atividade e foi elaborado com o intuito de poder ser divulgado e utilizado como referência a nível nacional.

Algorithms for information extraction and signal annotation on long-term biosignals using clustering techniques

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Accessing meteorological data in INSPIRE

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Spatial analysis of suicide attack incidences in Kabul City

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.