Metodologia para ensaio de sistemas de direcionamento via satélite em percursos retos e curvos

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Wearable schizophrenia treatment with real-time affective context awareness

The Personal Health Assistant Project (PHA) is a pilot system implementation sponsored by the Kozani Region Governors’ Association (KRGA) and installed in one of the two major public hospitals of the city of Kozani. PHA is intended to demonstrate how a secure, networked, multipurpose electronic health and food benefits digital signage system can transform common TV sets inside patient homes or hospital rooms into health care media players and facilitate information sharing and improve administrative efficiency among private doctors, public health care providers, informal caregivers, and nutrition program private companies, while placing individual patients firmly in control of the information at hand. This case evaluation of the PHA demonstration is intended to provide critical information to other decision makers considering implementing PHA or related digital signage technology at other institutions and public hospitals around the globe.

Autonomic hardware manager: uma arquitetura de hardware autonômico usando a solução de repositório ativo de componentes

This Thesis main objective is to implement a supporting architecture to Autonomic Hardware systems, capable of manage the hardware running in reconfigurable devices. The proposed architecture implements manipulation, generation and communication functionalities, using the Context Oriented Active Repository approach. The solution consists in a Hardware-Software based architecture called "Autonomic Hardware Manager (AHM)" that contains an Active Repository of Hardware Components. Using the repository the architecture will be able to manage the connected systems at run time allowing the implementation of autonomic features such as self-management, self-optimization, self-description and self-configuration. The proposed architecture also contains a meta-model that allows the representation of the Operating Context for hardware systems. This meta-model will be used as basis to the context sensing modules, that are needed in the Active Repository architecture. In order to demonstrate the proposed architecture functionalities, experiments were proposed and implemented in order to proof the Thesis hypothesis and achieved objectives. Three experiments were planned and implemented: the Hardware Reconfigurable Filter, that consists of an application that implements Digital Filters using reconfigurable hardware; the Autonomic Image Segmentation Filter, that shows the project and implementation of an image processing autonomic application; finally, the Autonomic Autopilot application that consist of an auto pilot to unmanned aerial vehicles. In this work, the applications architectures were organized in modules, according their functionalities. Some modules were implemented using HDL and synthesized in hardware. Other modules were implemented kept in software. After that, applications were integrated to the AHM to allow their adaptation to different Operating Context, making them autonomic.

Evaluación de vetiver (Chrysopogon zizanioides) y la elefanta (Pennisetum purpureum) en el diseño de humedales artificiales

En este trabajo se presenta la descripción e investigación en la evaluación de vetiver (Chrysopogon zizanioides) y la elefanta (Pennisetum purpureum) en el diseño de humedales artificiales. Para el tratamiento de aguas residuales de origen doméstico, siendo la vegetación uno de los principales componentes de estos sistemas de tratamientos no convencionales. Muchos \sistemas naturales" están siendo considerados con el propósito del tratamiento del agua residual y control de la contaminación del agua, debido a su alta fiabilidad ambiental y los bajos costos de construcción y mantenimiento, es el caso de los humedales artificiales. El interés en los sistemas naturales está basado en la conservación de los recursos asociados con estos sistemas como opuesto al proceso de tratamiento convencional de aguas residuales que es intensivo respecto al uso de energía y químicos. Los wetlands o humedales artificiales constituyen una alternativa de tratamiento debido a su alta eficiencia de remoción de contaminantes, a su bajo costo de instalación y mantenimiento y a su alta fiabilidad ambiental, generalmente un humedal artificial esta constituido por un medio de soporte el cual generalmente es arena o grava, vegetación y microorganismos o biopelícula los cuales llevan los diferentes procesos bioquímicos para remover los contaminantes del afluente. El objetivo general de este trabajo ha sido: Evaluar la eficiencia de remoción de materia orgánica, sólidos, nitrógeno y fósforo total de dos especies de plantas: vetiver (Chrysopogon zizanioides) y la elefanta (Pennisetum purpureum), en el diseño de humedales artificiales para el tratamiento de aguas residuales de origen doméstico. Los humedales artificiales o sistemas pilotos, se encuentran ubicados en la universidad de Medellín y reciben una preparación de agua sintética, que asemeja a las características de un agua residual de origen doméstico. En el presente trabajo se evalúa el porcentaje de remoción de la carga orgánica de aguas residuales, en un sistema de tratamiento por humedales artificiales con dos especies vegetales. El sistema fue diseñado con tres módulos instalados de manera adjunta. En el primero no se integra ninguna especie vegetal, solo el medio de sustrato el cual constituye el blanco (-), en el segundo se integraron organismos de la especie vetiver (Chrysopogon zizanioides), en el tercer sistema piloto, organismos de la especie elefanta (Pennisetum purpureum) y en el cuarto organismos de la especie papiro japones (Cyperus alternifolius), los cuales constituyen el control positivo (+). Los módulos experimentales fueron limpiados, cortados y adecuados acorde al montaje inicial de las plantas y al espacio requerido para su disposición. A cada sistema piloto se le agrega medio de soporte constituido por grava (5 a 10 cm) y arena (15 a 20 cm), el sustrato es evaluado y caracterizado por su diámetro nominal, posterior en cada sistema se siembran las especies en un área de 3x3 y cada humedal por dos semanas se adecua bajo la solución de Hoagland y Arnon y régimen de humedad. En el agua sintética se analizaron los siguientes parámetros: pH, sólidos totales, sólidos suspendido totales, sólidos disueltos totales, demanda química de oxígeno (DQO), demanda bioquímica de oxígeno (DBO5), nitrógeno total (NTK) y fosforo total (PT). También se realizó la determinación del crecimiento de las plantas a partir del incremento de biomasa, porosidad de la raíz y de igual forma se determina NTK y PT. Los resultados demostraron que el sistema es una opción para la remoción de la carga orgánica y de nutrientes en aguas residuales de origen doméstico, de bajo costo de operación y mantenimiento, especialmente se observa que las plantas que crecen en sistemas de régimen de humedad ácuico y ústico, tienden a tener una mayor recepción y adaptación en los humedales artificiales pilotos, es el caso de la elefanta (Pennisetum purpureum), el cual presenta las más altas tasas de remoción de contaminantes y nutrientes en el afluente, seguido por el papiro japonés (Cyperus alternifolius) y el vetiver (Chrysopogon zizanioides), respecto a tasas de remoción. La remoción de contaminantes que se presentan más altos respectivamente, constituyen sólidos en primera instancia, seguido por la demanda bioquímica de oxigeno (DBO5), demanda química de oxígeno (DQO), nitrógeno total (NTK) y fósforo total (PT), estos últimos presentan una baja tasa de remoción, debido a la naturaleza misma del contaminante, a los organismos que realizan la remoción y absorción y al tiempo de retención que se elige, el cual influye en la tasa de remoción del contaminante siendo menor en la concentración de fósforo, pero se encuentranen el rango esperado para estos sistemas de tratamiento no convencionales.

Designing a S2-Enterprise (Smart x Sensing) Reference Model

Part 11: Reference and Conceptual Models

Chemical Treatment Methods Pilot (CTMP) System for Treatment of Urban Runoff – Phase I. Feasibility and Design

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An auto-focusing method for imaging ellipsometry system

An auto-focusing method based on the image brightness gradient sharpness function is presented for imaging ellipsometry system, in which the image plane of the thin-film specimen is not perpendicular to the optical axis. The clear image of a specimen with large area is obtained by moving the imaging sensor in optical axis direction and around its sensitive surface centre successively. The experimental results demonstrate its feasibility.

Auto-calibration of a camera system using Image Alignment

Calibration of a camera system is a necessary step in any stereo metric process. It correlates all cameras to a common coordinate system by measuring the intrinsic and extrinsic parameters of each camera. Currently, manual calibration of a camera system is the only way to achieve calibration in civil engineering operations that require stereo metric processes (photogrammetry, videogrammetry, vision based asset tracking, etc). This type of calibration however is time-consuming and labor-intensive. Furthermore, in civil engineering operations, camera systems are exposed to open, busy sites. In these conditions, the position of presumably stationary cameras can easily be changed due to external factors such as wind, vibrations or due to an unintentional push/touch from personnel on site. In such cases manual calibration must be repeated. In order to address this issue, several self-calibration algorithms have been proposed. These algorithms use Projective Geometry, Absolute Conic and Kruppa Equations and variations of these to produce processes that achieve calibration. However, most of these methods do not consider all constraints of a camera system such as camera intrinsic constraints, scene constraints, camera motion or varying camera intrinsic properties. This paper presents a novel method that takes all constraints into consideration to auto-calibrate cameras using an image alignment algorithm originally meant for vision based tracking. In this method, image frames are taken from cameras. These frames are used to calculate the fundamental matrix that gives epipolar constraints. Intrinsic and extrinsic properties of cameras are acquired from this calculation. Test results are presented in this paper with recommendations for further improvement.

Design and operation of integrated pilot-scale dimethyl ether synthesis system via pyrolysis/gasification of corncob

The integrated pilot-scale dimethyl ether (DME) synthesis system from corncob was demonstrated for modernizing utilization of biomass residues. The raw bio-syngas was obtained by the pyrolyzer/gasifier at the yield rate of 40-45 Nm(3)/h. The content of tar in the raw bio-syngas was decreased to less than 20 mg/Nm(3) by high temperature gasification of the pyrolysates under O-2-rich air. More than 70% CO2 in the raw bio-syngas was removed by pressure-swing adsorption unit (PSA). The bio-syngas (H-2/CO approximate to 1) was catalytically converted to DME in the fixed-bed tubular reactor directly over Cu/Zn/Al/HZSM-5 catalysts. CO conversion and space-time yield of DME were in the range of 82.0-73.6% and 124.3-203.8 kg/m(cat)(3)/h, respectively, with a similar DME selectivity when gas hourly space velocity (GHSV, volumetric flow rate of syngas at STP divided by the volume of catalyst) increased from 650 h(-1) to 1500 h(-1) at 260 degrees C and 4.3 MPa. And the selectivity to methanol and C-2(+) products was less than 0.65% under typical synthesis condition. The thermal energy conversion efficiency was ca. 32.0% and about 16.4% carbon in dried corncob was essentially converted to DME with the production cost of ca. (sic) 3737/ton DME. Cu (111) was assumed to be the active phase for DME synthesis, confirmed by X-ray diffraction (XRD) characterization.

BIODIESEL PRODUCTION FROM DIFFERENT FEEDSTOCKS IN PILOT SCALE SYSTEM

In this study, the preparations of biodiesel from three different feedstocks, including rapeseed oil, high acidified Chinese wood oil and trap grease, were carried out in a pilot scale of 200 t yr(-1) biodiesel production system. The optimum operating conditions for transesterification of rapeseed oil in plug flow reactor were found to be as follows: the catalyst dosage is 1.2 wt%; the retention time is about 17 min; the bed temperature is 65 degrees C; the oil/methanol ratio is 1:6; the content of methyl ester is 96.33% under these conditions. A kind of ion exchange resin, a solid acid catalyst, filled in the fixed bed reactor was used as the esterification catalyst for the pretreating of high acidified oil. The acid value of Chinese wood oil could be reduced from 7 to 0.8 mg KOH.g(-1) after 88 min, the optimum operating conditions were obtained as follow: molar ratio of methanol to oil is about 6:1, the temperature of the fixed bed, 65 degrees C and the retention time, about 88 min. Also a kind of acidified oil, namely trap grease, with the acid value being 114 mg KOH.g(-1) could be equally converted to a good biodiesel product through this system. Generally, the refined biodiesel product generated through this system could meet China #0 Biodiesel Standard, as well as Germany Biodiesel Standard for most indexes. It indicates that the designed process in this system has a good adaptability for different kinds of oil.

Surveillance during pregnancy: methods and response rates from a hospital based pilot study of the Pregnancy Risk Assessment Monitoring System in Ireland

Background: Many European countries including Ireland lack high quality, on-going, population based estimates of maternal behaviours and experiences during pregnancy. PRAMS is a CDC surveillance program which was established in the United States in 1987 to generate high quality, population based data to reduce infant mortality rates and improve maternal and infant health. PRAMS is the only on-going population based surveillance system of maternal behaviours and experiences that occur before, during and after pregnancy worldwide.Methods: The objective of this study was to adapt, test and evaluate a modified CDC PRAMS methodology in Ireland. The birth certificate file which is the standard approach to sampling for PRAMS in the United States was not available for the PRAMS Ireland study. Consequently, delivery record books for the period between 3 and 5 months before the study start date at a large urban obstetric hospital [8,900 births per year] were used to randomly sample 124 women. Name, address, maternal age, infant sex, gestational age at delivery, delivery method, APGAR score and birth weight were manually extracted from records. Stillbirths and early neonatal deaths were excluded using APGAR scores and hospital records. Women were sent a letter of invitation to participate including option to opt out, followed by a modified PRAMS survey, a reminder letter and a final survey.Results: The response rate for the pilot was 67%. Two per cent of women refused the survey, 7% opted out of the study and 24% did not respond. Survey items were at least 88% complete for all 82 respondents. Prevalence estimates of socially undesirable behaviours such as alcohol consumption during pregnancy were high [>50%] and comparable with international estimates.Conclusion: PRAMS is a feasible and valid method of collecting information on maternal experiences and behaviours during pregnancy in Ireland. PRAMS may offer a potential solution to data deficits in maternal health behaviour indicators in Ireland with further work. This study is important to researchers in Europe and elsewhere who may be interested in new ways of tailoring an established CDC methodology to their unique settings to resolve data deficits in maternal health.