Management consulting lab experience: ANA

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Children consumer behaviour field lab: The Nestum consumer

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Fate of nitrogen in bioreactor landfills: lab-scale in situ aeration in well decomposed MSW

Dissertação para obtenção do Grau de Mestre em Engenharia do ambiente, perfil de engenharia sanitária

Ensemble classifiers in remote sensing: a comparative analysis

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

Lab on paper: biossensores colorimétricos de papel para a detecção de membros do complexo Mycobacterium tuberculosis

Este trabalho foi realizado no âmbito do projecto Lab on Paper, desenvolvido no Centro de Investigação de Materiais (CENIMAT) da Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa (FCT - UNL)

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

Analyzing Geospatial patterns of syrian refugee flows in southeastern Turkey by use of remote sensing and complementary data

Crisis-affected communities and global organizations for international aid are becoming increasingly digital as consequence geotechnology popularity. Humanitarian sector changed in profound ways by adopting new technical approach to obtain information from area with difficult geographical or political access. Since 2011, turkey is hosting a growing number of Syrian refugees along southeastern region. Turkish policy of hosting them in camps and the difficulty created by governors to international aid group expeditions to get information, made such international organizations to investigate and adopt other approach in order to obtain information needed. They intensified its remote sensing approach. However, the majority of studies used very high-resolution satellite imagery (VHRSI). The study area is extensive and the temporal resolution of VHRSI is low, besides it is infeasible only using these sensors as unique approach for the whole area. The focus of this research, aims to investigate the potentialities of mid-resolution imagery (here only Landsat) to obtain information from region in crisis (here, southeastern Turkey) through a new web-based platform called Google Earth Engine (GEE). Hereby it is also intended to verify GEE currently reliability once the Application Programming Interface (API) is still in beta version. The finds here shows that the basic functions are trustworthy. Results pointed out that Landsat can recognize change in the spectral resolution clearly only for the first settlement. The ongoing modifications vary for each case. Overall, Landsat demonstrated high limitations, but need more investigations and may be used, with restriction, as a support of VHRSI.

UAV - based imagery processing using structure from motion and remote sensing technology

With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.

Management consulting lab- Galp social media

This study consists of the reflection on a consultancy project developed by four students and one project manager from NOVA SBE. In attempting to assist Galp Energia structure the operationalization of an entry into Social Media, we were confronted with first-time challenges in real-life highly demanding workplace situations. The following considerations attempt to defuse the problem-solving mindset of the practical experience from the methodological development and learning experience extracted from the consulting line of work

Management consulting lab-Portugal Telecom

This paper presents the main developments and learning taken from the Management Consulting Lab at Portugal Telecom. The main purpose of this consulting project was to assess the potential of a specific technology and how could Portugal Telecom maximize the value created. By identifying and evaluating all the business sectors where this technology would have impact, the team was able to address the initial hypotheses stated by the client regarding the importance of the technology and elaborate a set of recommendations based on the main findings obtained through field as well as desk research.

Prevalence of intestinal parasites and risk factors forspecific and multiple helminth infections in a remote city of the Brazilian Amazon

Abstract: INTRODUCTION: Few studies have described the risk factors of intestinal parasitic infections in the Amazon. METHODS: A cross-sectional survey was performed in a City of the State of Amazonas (Brazil) to estimate the prevalence of intestinal parasites and determine the risk factors for helminth infections. RESULTS: Ascaris lumbricoides was the most prevalent parasite. The main risk factors determined were: not having a latrine for A. lumbricoides infection; being male and having earth or wood floors for hookworm infection; and being male for multiple helminth infections. CONCLUSIONS: We reported a high prevalence of intestinal parasites and determined some poverty-related risk factors.

Evaluating balance, stability and gait symmetry of stroke patients using kinematic and dynamic gait lab data

Dissertação de mestrado integrado em Engenharia Biomédica

Kids Media Lab: Tecnologias e a aprendizagem da programação em idade Pré-escolar

Sabedores da realidade tecnológica que envolve as crianças, sentimos necessidade de conhecer aprofundadamente como é que as crianças aprendem, ou seja, como estruturam e desenvolvem o seu pensamento, nesta relação com as tecnologias e através da programação. A presente investigação revela-se inovadora, quer no contexto em que vai ser implementado, quer nos objetivos da própria investigação. Pretendemos consolidar conhecimento sobre as teorias de aprendizagem, através da introdução da programação de forma lúdica e criativa nas atividades no jardim de infância. Compreender como as crianças reagem na utilização das tecnologias e da programação revela-se importante para conhecer o seu comportamento, o seu estilo de aprendizagem e permitir aos profissionais de educação antecipar ou não esta integração, nos seus contextos educativos. Conhecer como todo este processo de aprendizagem é vivenciado pelas crianças irá permitir avaliar quais os benefícios e riscos da utilização das tecnologias e da aprendizagem da programação em idade pré-escolar.