57 resultados para Unified Integration Platform
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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
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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
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Dissertation presented to obtain the Ph.D degree in Engineering and Technology Sciences, Chemical Engineering.
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Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia
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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
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Thesis submitted in fulfilment of the requirements for the Degree of Master of Science in Computer Science
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Dissertação para obtenção do Grau de Doutor em Ambiente
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RESUMO: A violência contra as mulheres (VCM) é um problema de saúde pública e uma violação dos direitos humanos. Ele tem uma alta prevalência na América Latina e no Caribe; o Estudo da Violência Contra as Mulheres da Organização Mundial de Saúde (OMS) identificou que as mulheres peruanas sofrem o maior índice de violência. O Perú é signatário da CEDAW e da Convenção de Belém do Pará, com recomendações para resolver este tipo de discriminação e descrever o papel do setor da saúde. A lei peruana define a violência como um problema de saúde mental. Objectivos: As três orientações clínicas do Ministério da Saúde para avaliar a integração da componente de saúde mental no cuidado de mulheres afetadas pela VCM foram revistas. Método: A proteção da saúde mental foi avaliada nas orientações acima mencionadas. A lei peruana relevante para perceber o reconhecimento das consequências de VCM na saúde mental e os cuidados prestados neste contexto foram revistos. Usando esses padrões nacionais e internacionais, foi realizada uma análise de conteúdo dos guias peruanos para a atenção da violência para ver como eles se integram a saúde mental. Resultados: Estas orientações são muito extensas e não definem claramente a responsabilidade dos profissionais de saúde. Não incluem um exame de saúde mental na avaliação da vítima e são vagas na descrição das atividades a serem realizadas pelo prestador dos cuidados de saúde. As orientações recomendam uma triagem universal usando um instrumento com formato antiquado e pesado. Em contrapartida, as orientações da OMS não recomendam qualquer triagem. Conclusão: As várias orientações analisadas não fornecem a informação necessária para o profissional de saúde avaliar o envolvimento da saúde mental e, desnecessariamente, tratam as mulheres sobreviventes de VCM como doentes mentais. Recomenda-se que as orientações recentes da OMS (Responding to intimate partner violence and sexual violence against women: WHO clinical and policy guidelines, 2013) para os cuidados de VCM sejam usadas como um modelo para o desenvolvimento de um único dispositivo técnico que incorpora directrizes com base científica. legislação com base no género, saúde, guias, prevenção e mujeres 6 RESUMO (PORTUGUESE) A violência contra as mulheres (VCM) é um problema de saúde pública e uma violação dos direitos humanos. Ele tem uma alta prevalência na América Latina e no Caribe; o Estudo da Violência Contra as Mulheres da Organização Mundial de Saúde (OMS) identificou que as mulheres peruanas sofrem o maior índice de violência. O Perú é signatário da CEDAW e da Convenção de Belém do Pará, com recomendações para resolver este tipo de discriminação e descrever o papel do setor da saúde. A lei peruana define a violência como um problema de saúde mental. Objectivos: As três orientações clínicas do Ministério da Saúde para avaliar a integração da componente de saúde mental no cuidado de mulheres afetadas pela VCM foram revistas. Método: A proteção da saúde mental foi avaliada nas orientações acima mencionadas. A lei peruana relevante para perceber o reconhecimento das consequências de VCM na saúde mental e os cuidados prestados neste contexto foram revistos. Usando esses padrões nacionais e internacionais, foi realizada uma análise de conteúdo dos guias peruanos para a atenção da violência para ver como eles se integram a saúde mental. Resultados: Estas orientações são muito extensas e não definem claramente a responsabilidade dos profissionais de saúde. Não incluem um exame de saúde mental na avaliação da vítima e são vagas na descrição das atividades a serem realizadas pelo prestador dos cuidados de saúde. As orientações recomendam uma triagem universal usando um instrumento com formato antiquado e pesado. Em contrapartida, as orientações da OMS não recomendam qualquer triagem. Conclusão: As várias orientações analisadas não fornecem a informação necessária para o profissional de saúde avaliar o envolvimento da saúde mental e, desnecessariamente, tratam as mulheres sobreviventes de VCM como doentes mentais. Recomenda-se que as orientações recentes da OMS (Responding to intimate partner violence and sexual violence against women: WHO clinical and policy guidelines, 2013) para os cuidados de VCM sejam usadas como um modelo para o desenvolvimento de um único dispositivo técnico que incorpora directrizes com base científica.-----------------ABSTRACT: Violence against women (VAW) is a public health problem and a human rights violation. It is highly prevalent in Latin America and the Caribbean; the Multi-country Study on Violence against Women by the World Health Organization identified rural Peruvian women as suffering the highest rates of VAW. The country is party to CEDAW and Belen Do Para Conventions, which set forth recommendations to overcome this form of discrimination and describe the role of the health sector. Peruvian law defines violence as a mental health issue. Objective: The Ministry of Health’s three technical guidelines were reviewed to assess the integration of mental health into the care of women affected by violence Method: The protection of the woman’s mental health was ascertained in the conventions mentioned above. The recognition of the mental health consequences of VAW and the inclusion of its evaluation and care were assessed in pertinent Peruvian legislation. Using these international and national parameters, the three guidelines for the attention of violence were subject to content analysis to see whether they conform to the conventions and integrate mental health care. Outcome: These guidelines are too extensive and do not clearly define the responsibility of health workers. They do not include a mental health exam in the evaluation of the victim and are vague in the description of the actions to be carried out by the health care provider. Guidelines prescribe universal screening using an outdated instrument and moreover, WHO Guidelines do not recommend screening. Conclusion: These multiple guidelines do not provide useful guidance for health care providers, particularly for the assessment of mental health sequelae, and unnecessarily stigmatize survivors of violence as mentally ill. It is recommended that the World Health Organization’s document Responding to intimate partner violence and sexual violence against women: WHO clinical and policy guidelines (2013) be used as a blueprint for only one technical instrument that incorporates evidence -based national policy and guidelines.
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Nowadays, existing 3D scanning cameras and microscopes in the market use digital or discrete sensors, such as CCDs or CMOS for object detection applications. However, these combined systems are not fast enough for some application scenarios since they require large data processing resources and can be cumbersome. Thereby, there is a clear interest in exploring the possibilities and performances of analogue sensors such as arrays of position sensitive detectors with the final goal of integrating them in 3D scanning cameras or microscopes for object detection purposes. The work performed in this thesis deals with the implementation of prototype systems in order to explore the application of object detection using amorphous silicon position sensors of 32 and 128 lines which were produced in the clean room at CENIMAT-CEMOP. During the first phase of this work, the fabrication and the study of the static and dynamic specifications of the sensors as well as their conditioning in relation to the existing scientific and technological knowledge became a starting point. Subsequently, relevant data acquisition and suitable signal processing electronics were assembled. Various prototypes were developed for the 32 and 128 array PSD sensors. Appropriate optical solutions were integrated to work together with the constructed prototypes, allowing the required experiments to be carried out and allowing the achievement of the results presented in this thesis. All control, data acquisition and 3D rendering platform software was implemented for the existing systems. All these components were combined together to form several integrated systems for the 32 and 128 line PSD 3D sensors. The performance of the 32 PSD array sensor and system was evaluated for machine vision applications such as for example 3D object rendering as well as for microscopy applications such as for example micro object movement detection. Trials were also performed involving the 128 array PSD sensor systems. Sensor channel non-linearities of approximately 4 to 7% were obtained. Overall results obtained show the possibility of using a linear array of 32/128 1D line sensors based on the amorphous silicon technology to render 3D profiles of objects. The system and setup presented allows 3D rendering at high speeds and at high frame rates. The minimum detail or gap that can be detected by the sensor system is approximately 350 μm when using this current setup. It is also possible to render an object in 3D within a scanning angle range of 15º to 85º and identify its real height as a function of the scanning angle and the image displacement distance on the sensor. Simple and not so simple objects, such as a rubber and a plastic fork, can be rendered in 3D properly and accurately also at high resolution, using this sensor and system platform. The nip structure sensor system can detect primary and even derived colors of objects by a proper adjustment of the integration time of the system and by combining white, red, green and blue (RGB) light sources. A mean colorimetric error of 25.7 was obtained. It is also possible to detect the movement of micrometer objects using the 32 PSD sensor system. This kind of setup offers the possibility to detect if a micro object is moving, what are its dimensions and what is its position in two dimensions, even at high speeds. Results show a non-linearity of about 3% and a spatial resolution of < 2µm.
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Due to the importance and wide applications of the DNA analysis, there is a need to make genetic analysis more available and more affordable. As such, the aim of this PhD thesis is to optimize a colorimetric DNA biosensor based on gold nanoprobes developed in CEMOP by reducing its price and the needed volume of solution without compromising the device sensitivity and reliability, towards the point of care use. Firstly, the price of the biosensor was decreased by replacing the silicon photodetector by a low cost, solution processed TiO2 photodetector. To further reduce the photodetector price, a novel fabrication method was developed: a cost-effective inkjet printing technology that enabled to increase TiO2 surface area. Secondly, the DNA biosensor was optimized by means of microfluidics that offer advantages of miniaturization, much lower sample/reagents consumption, enhanced system performance and functionality by integrating different components. In the developed microfluidic platform, the optical path length was extended by detecting along the channel and the light was transmitted by optical fibres enabling to guide the light very close to the analysed solution. Microfluidic chip of high aspect ratio (~13), smooth and nearly vertical sidewalls was fabricated in PDMS using a SU-8 mould for patterning. The platform coupled to the gold nanoprobe assay enabled detection of Mycobacterium tuberculosis using 3 8l on DNA solution, i.e. 20 times less than in the previous state-of-the-art. Subsequently, the bio-microfluidic platform was optimized in terms of cost, electrical signal processing and sensitivity to colour variation, yielding 160% improvement of colorimetric AuNPs analysis. Planar microlenses were incorporated to converge light into the sample and then to the output fibre core increasing 6 times the signal-to-losses ratio. The optimized platform enabled detection of single nucleotide polymorphism related with obesity risk (FTO) using target DNA concentration below the limit of detection of the conventionally used microplate reader (i.e. 15 ng/μl) with 10 times lower solution volume (3 μl). The combination of the unique optical properties of gold nanoprobes with microfluidic platform resulted in sensitive and accurate sensor for single nucleotide polymorphism detection operating using small volumes of solutions and without the need for substrate functionalization or sophisticated instrumentation. Simultaneously, to enable on chip reagents mixing, a PDMS micromixer was developed and optimized for the highest efficiency, low pressure drop and short mixing length. The optimized device shows 80% of mixing efficiency at Re = 0.1 in 2.5 mm long mixer with the pressure drop of 6 Pa, satisfying requirements for the application in the microfluidic platform for DNA analysis.
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The processes of mobilization of land for infrastructures of public and private domain are developed according to proper legal frameworks and systematically confronted with the impoverished national situation as regards the cadastral identification and regularization, which leads to big inefficiencies, sometimes with very negative impact to the overall effectiveness. This project report describes Ferbritas Cadastre Information System (FBSIC) project and tools, which in conjunction with other applications, allow managing the entire life-cycle of Land Acquisition and Cadastre, including support to field activities with the integration of information collected in the field, the development of multi-criteria analysis information, monitoring all information in the exploration stage, and the automated generation of outputs. The benefits are evident at the level of operational efficiency, including tools that enable process integration and standardization of procedures, facilitate analysis and quality control and maximize performance in the acquisition, maintenance and management of registration information and expropriation (expropriation projects). Therefore, the implemented system achieves levels of robustness, comprehensiveness, openness, scalability and reliability suitable for a structural platform. The resultant solution, FBSIC, is a fit-for-purpose cadastre information system rooted in the field of railway infrastructures. FBSIC integrating nature of allows: to accomplish present needs and scale to meet future services; to collect, maintain, manage and share all information in one common platform, and transform it into knowledge; to relate with other platforms; to increase accuracy and productivity of business processes related with land property management.
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Due to their toxicity, especially their carcinogenic potential, polycyclic aromatic hydrocarbons (PAHs) became priority pollutants in biomonitoring programmes and environmental policy, such as the European Water Framework Directive. The model substances tested in this study, namely benzo[b]fluoranthene (B[b]F), considered potentially carcinogenic to humans and an effector carcinogenic PAH to wildlife, and phenanthrene (Phe), deemed a non-carcinogenic PAH, are common PAHs in coastal waters, owning distinct properties reflected in different, albeit overlapping, mechanisms of toxicity. Still, as for similar PAHs, their interaction effects remain largely unknown. In order to study the genotoxic effects of caused by the interaction of carcinogenic and non-carcinogenic PAHs, and their relation to histopathological alterations, juvenile sea basses, Dicentrarchus labrax, a highly ecologically- and economically-relevant marine fish, were injected with different doses (5 and 10 μg.g-1 fish ww) of the two PAHs, isolated or in mixture, and incubated for 48 h. Individuals injected with B[b]F and the PAH mixture exhibited higher clastogenic/aneugenic effects and DNA strand breakage in blood cells, determined through the erythrocytic nuclear abnormalities (ENA) and Comet assays, respectively. Also, hepatic histopathological alterations were found in all animals, especially those injected with B[b]F and the PAH mixture, relating especially to inflammation. Still, Phe also exhibited genotoxic effects in sea bass, especially in higher doses, revealing a very significant acute effect that was accordant with the Microtox test performed undergone in parallel. Overall, sea bass was sensitive to B[b]F (a higher molecular weight PAH), likely due to efficient bioactivation of the pollutant (yielding genotoxic metabolites and reactive oxygen species), when compared to Phe, the latter revealing a more significant acute effect. The results indicate no significant additive effect between the substances, under the current experimental conditions. The present study highlights the importance of understanding PAH interactions in aquatic organisms, since they are usually present in the aquatic environment in complex mixtures.
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This work studies the combination of safe and probabilistic reasoning through the hybridization of Monte Carlo integration techniques with continuous constraint programming. In continuous constraint programming there are variables ranging over continuous domains (represented as intervals) together with constraints over them (relations between variables) and the goal is to find values for those variables that satisfy all the constraints (consistent scenarios). Constraint programming “branch-and-prune” algorithms produce safe enclosures of all consistent scenarios. Special proposed algorithms for probabilistic constraint reasoning compute the probability of sets of consistent scenarios which imply the calculation of an integral over these sets (quadrature). In this work we propose to extend the “branch-and-prune” algorithms with Monte Carlo integration techniques to compute such probabilities. This approach can be useful in robotics for localization problems. Traditional approaches are based on probabilistic techniques that search the most likely scenario, which may not satisfy the model constraints. We show how to apply our approach in order to cope with this problem and provide functionality in real time.
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Transport is an essential sector in modern societies. It connects economic sectors and industries. Next to its contribution to economic development and social interconnection, it also causes adverse impacts on the environment and results in health hazards. Transport is a major source of ground air pollution, especially in urban areas, and therefore contributing to the health problems, such as cardiovascular and respiratory diseases, cancer, and physical injuries. This thesis presents the results of a health risk assessment that quantifies the mortality and the diseases associated with particulate matter pollution resulting from urban road transport in Hai Phong City, Vietnam. The focus is on the integration of modelling and GIS approaches in the exposure analysis to increase the accuracy of the assessment and to produce timely and consistent assessment results. The modelling was done to estimate traffic conditions and concentrations of particulate matters based on geo-references data. A simplified health risk assessment was also done for Ha Noi based on monitoring data that allows a comparison of the results between the two cases. The results of the case studies show that health risk assessment based on modelling data can provide a much more detail results and allows assessing health impacts of different mobility development options at micro level. The use of modeling and GIS as a common platform for the integration of different assessments (environmental, health, socio-economic, etc.) provides various strengths, especially in capitalising on the available data stored in different units and forms and allows handling large amount of data. The use of models and GIS in a health risk assessment, from a decision making point of view, can reduce the processing/waiting time while providing a view at different scales: from micro scale (sections of a city) to a macro scale. It also helps visualising the links between air quality and health outcomes which is useful discussing different development options. However, a number of improvements can be made to further advance the integration. An improved integration programme of the data will facilitate the application of integrated models in policy-making. Data on mobility survey, environmental monitoring and measuring must be standardised and legalised. Various traffic models, together with emission and dispersion models, should be tested and more attention should be given to their uncertainty and sensitivity
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In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.