Amorphous silicon e 3D sensors applied to object detection

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.

Design, implementation, and performance of a distributed and scalable sensor system for critical distance measurements in the CMS detector at LHC

The “CMS Safety Closing Sensors System” (SCSS, or CSS for brevity) is a remote monitoring system design to control safety clearance and tight mechanical movements of parts of the CMS detector, especially during CMS assembly phases. We present the different systems that makes SCSS: its sensor technologies, the readout system, the data acquisition and control software. We also report on calibration and installation details, which determine the resolution and limits of the system. We present as well our experience from the operation of the system and the analysis of the data collected since 2008. Special emphasis is given to study positioning reproducibility during detector assembly and understanding how the magnetic fields influence the detector structure.

Análise da relação entre intensidade da actividade física realiada com a sensação subjectiva de esforço na população com idade igual ou superior a 75 anos

RESUMO: Objectivo: O objectivo geral do estudo é analisar a relação entre intensidade da actividade física (AF) realizada pela população idosa com 75 anos ou mais, com a respectiva sensação subjectiva de esforço (SSE). Introdução: Em Portugal, e de acordo o Instituto Nacional de Estatística, em 2011 cerca de 19% da população tem mais de 65 anos. Em 2050, as estimativas apontam que esta percentagem seja de 25%, ou seja, um quarto do país. O envelhecimento propicía um declínio físico e funcional, e para o retardar estão recomendados 150 minutos por semana de AF moderada. A forma como tem sido avaliada a AF tem por base um pressuposto de comparação com valores de gasto energético de uma população com uma média de 40 anos. É fundamental a realização de estudos que analisem a associação entre o nível de intensidade de AF com a SSE, para aferir se esta comparação é transponível para esta faixa etária. Metodologia: Trata-se de um estudo observacional analítico transversal, com uma amostra constituída por 39 participantes, com uma mediana 77,0 anos de idade (percentil 25: 76,0; percentil 75: 80,0), sendo a mínima 75 e a máxima 86 anos. As variáveis são a SSE e a intensidade de cada actividade realizada. O protocolo de avaliação foi constituído pelo questionário de caracterização sóciodemográfica, Diário de AF e a Escala de Borg RPE 6-20. Resultados: Existe uma associação negativa significativa entre a idade e o gasto energético total (rs = -0,365, p=0,022) e uma associação negativa, moderada e significativa entre a idade e a SSE reportada média (rs = -0,521, p=0,001) e máxima (rs = -0,465, p=0,003). Observou-se uma associação positiva e significativa entre a SSE máxima diária e o tempo total dedicado a actividades físicas (r=0,367 e p=0,022) e o gasto energético total (r=0,569, p<0,001). Verificou-se igualmente que quanto maior o gasto energético total diário, maior a média da SSE (r=0,411; p=0,009). Existe uma concordância moderada e significativa (Kappa=0,475; p<0,001) entre a sensação reportada pelo participante e a classificação atribuída em cada actividade pelo Compêndio de Actividades Físicas (Ainsworth et al, 1993). No entanto, com uma tendência para a subestimação dos MET’s atribuídos a cada actividade Conclusão: Os resultados do estudo sugerem que existe uma associação positiva e significativa entre intensidade da AF realizada e a SSE, aquando da realização da mesma actividade. Apesar desta associação ser moderada, este estudo sugere que a classificação que o Compêndio utiliza não é directamente aplicável à população idosa com 75 anos ou mais.-------------ABSTRACT: Purpose: The overall objective of the study is to analyze the relationship between intensity of physical activity performed by the elderly population with 75 years or more with their subjective feeling of effort. Background: In Portugal, according with data from Instituto Português de Estatística, in 2011 aproximately 19% of the population has more than 65 years old. In 2050, estimates suggest that this percentage will be 25%, which means a quarter of the country. The way in which physical activity has been evaluated is based on a comparing assumption with values of energy expenditure in a population with an average of 40 years. It is critical to conduct studies to examine the association between the level of intensity of physical activity with the subjective feeling of effort, to assess whether this comparison is applied to this age group. Methods: This is a cross sectional observational study with a sample of 39 participants, with a median age of 77.0 years (25th percentile: 76.0; 75th percentile: 80.0), with the minimum age 75 years and maximum age 86 years. The variables are the subjective feeling of physical effort and intensity of each activity. It was applied one protocol evaluation consisting of a questionnaire of sociodemographic characteristics, A journal of physical activities and Borg RPE 6-20 scale. Results: There is a significant negative association between age and total energy expenditure (rs = -0.365, p = 0.022) and a negative, moderate and significant association between age and average (rs = -0.521, p = 0.001) and maximum subjective feeling of exertion reported (rs = -0.465, p = 0.003). There was a significant positive association between the subjective feeling of daily maximum effort and total time spent on physical activity (r = 0.367 and p = 0.022) and total energy expenditure (r = 0.569, p <0.001). It was also found that the higher the total daily energy expenditure, the higher the average of the subjective sense of effort (r = 0.411, p = 0.009). There is a moderate and significant correlation (kappa = 0.475, p <0.001) between the sensation reported by the participant and the rank assigned to each activity by Compendium of Physical Activities (Ainsworth et al, 1993). However, there is a tendency to over-estimate the subjective feeling of effort, or underestimation of METs assigned to each activity Conclusion: Study results suggest a positive and significant association between the level of intensity of physical activity and the subjective feeling of exertion, within the same activity. Even though this association is moderated, this study suggests that the Compendium of Physical Activities rating doesn’t suit for individuals with 75 years old or more.

An agent-based simulator to estimate domestic energy use

Throughout recent years, there has been an increase in the population size, as well as a fast economic growth, which has led to an increase of the energy demand that comes mainly from fossil fuels. In order to reduce the ecological footprint, governments have implemented sustainable measures and it is expected that by 2035 the energy produced from renewable energy sources, such as wind and solar would be responsible for one-third of the energy produced globally. However, since the energy produced from renewable sources is governed by the availability of the respective primary energy source there is often a mismatch between production and demand, which could be solved by adding flexibility on the demand side through demand response (DR). DR programs influence the end-user electricity usage by changing its cost along the time. Under this scenario the user needs to estimate the energy demand and on-site production in advance to plan its energy demand according to the energy price. This work focuses on the development of an agent-based electrical simulator, capable of: (a) estimating the energy demand and on-site generation with a 1-min time resolution for a 24-h period, (b) calculating the energy price for a given scenario, (c) making suggestions on how to maximize the usage of renewable energy produced on-site and to lower the electricity costs by rescheduling the use of certain appliances. The results show that this simulator allows reducing the energy bill by 11% and almost doubling the use of renewable energy produced on-site.