1000 resultados para CONTROL DE ACTITUD
Resumo:
El incremento poblacional a nivel mundial y los intereses económicos, provoco en el sector agropecuario un aumento en la superficie destinada a la agricultura, principalmente en el cultivo de soja, desencadenando la incorporación de prácticas tecnológicas para mejorar la producción con mayor eficiencia. La herramienta que presento un fuerte impacto fue la adquisición de sojas con tecnología resistente a Glifosato, que por su uso desmedido surgieron las malezas resistentes; conjuntamente con la escasez de las precipitaciones y la falta de cultivos de invierno, provoco dificultades en el control de aquellas, y por consiguiente un aumento en los costos productivos. Se plantea de este modo la incógnita de pensar si los cultivos de cobertura que presentan características alelopáticas ¿Pueden ser una herramienta para el control de malezas y disminuir el uso de herbicidas, en la zona semiárida del centro de Argentina? Como respuesta presentamos en el presente proyecto, el análisis de los beneficios de la incorporación de prácticas agropecuarias, como el desarrollo de cultivos de cobertura con propiedades alelopáticas, con el fin de mejorar el control y manejo de malezas y lograr de este modo menores costos y contaminación ambiental. Este desafío comprende dos etapas, la primera consiste en la siembra de tres cultivos de invierno Cebada, Centeno y Avena (15 variedades) y la consiguiente selección de aquellos que presenten mejores propiedades alelopáticas para el control de malezas. En una segunda etapa, del cultivo seleccionado se estudian variedades comerciales y la posterior elección de aquel con mejor competitividad, evaluando las características optimas de densidad de siembra, a la cual se alcanzan la mayor captación de agua de lluvia y menor consumo de agua y además la fecha optima en la que debemos interferir en el desarrollo del cultivo (secado o destrucción). La investigación nos ayudara a contar con mayor información, para lograr mejores niveles productivos, preservando el suelo, ambiente y cuidado de todo el sistema productivo.
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Odour nuisance in other European countries has led to the development of techniques which employ panels of human assessors for the determination of environmental odours. Odour measurement is not widely practised in Ireland, yet local authorities are frequently in receipt of odour derived public complaints. This dissertation examines the fundamentals of odour nuisance in terms of how we perceive odours, common sources of environmental odours, the principles of odour measurement (in particular the Sutch pre-standard on olfactometry) and the extent to which odour nuisance is a problem in Ireland. The intention is to provide a reference document for use by those interested parties in the country who may be variously involved in policy making, legislative development, enforcement of environmental law or any person who has an interest in odours and the public nuisance they can give rise to. In particular the aim was to provide previously undocumented information on the prevalence of odour nuisance in Ireland, the exercision of the available powers to control odours, and the possible value of odour measurement as part of a regulatory process. A questionnaire was circulated to all local authorities in the country and 82% responded with information on their experiences and views on the subject of odours. The results of the survey are presented in summary and detailed form.
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Univariate statistical control charts, such as the Shewhart chart, do not satisfy the requirements for process monitoring on a high volume automated fuel cell manufacturing line. This is because of the number of variables that require monitoring. The risk of elevated false alarms, due to the nature of the process being high volume, can present problems if univariate methods are used. Multivariate statistical methods are discussed as an alternative for process monitoring and control. The research presented is conducted on a manufacturing line which evaluates the performance of a fuel cell. It has three stages of production assembly that contribute to the final end product performance. The product performance is assessed by power and energy measurements, taken at various time points throughout the discharge testing of the fuel cell. The literature review performed on these multivariate techniques are evaluated using individual and batch observations. Modern techniques using multivariate control charts on Hotellings T2 are compared to other multivariate methods, such as Principal Components Analysis (PCA). The latter, PCA, was identified as the most suitable method. Control charts such as, scores, T2 and DModX charts, are constructed from the PCA model. Diagnostic procedures, using Contribution plots, for out of control points that are detected using these control charts, are also discussed. These plots enable the investigator to perform root cause analysis. Multivariate batch techniques are compared to individual observations typically seen on continuous processes. Recommendations, for the introduction of multivariate techniques that would be appropriate for most high volume processes, are also covered.
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This project was funded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway - Mayo Institute of Technology and an industrial company, Tyco/Mallinckrodt Galway. The project aimed to develop a semi - automatic, self - learning pattern recognition system capable of detecting defects on the printed circuits boards such as component vacancy, component misalignment, component orientation, component error, and component weld. The research was conducted in three directions: image acquisition, image filtering/recognition and software development. Image acquisition studied the process of forming and digitizing images and some fundamental aspects regarding the human visual perception. The importance of choosing the right camera and illumination system for a certain type of problem has been highlighted. Probably the most important step towards image recognition is image filtering, The filters are used to correct and enhance images in order to prepare them for recognition. Convolution, histogram equalisation, filters based on Boolean mathematics, noise reduction, edge detection, geometrical filters, cross-correlation filters and image compression are some examples of the filters that have been studied and successfully implemented in the software application. The software application developed during the research is customized in order to meet the requirements of the industrial partner. The application is able to analyze pictures, perform the filtering, build libraries, process images and generate log files. It incorporates most of the filters studied and together with the illumination system and the camera it provides a fully integrated framework able to analyze defects on printed circuit boards.
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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010
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Magdeburg, Univ., Fak. für Wirtschaftswiss., Diss., 2011
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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2012
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Background:Systemic hypertension is highly prevalent and an important risk factor for cardiovascular events. Blood pressure control in hypertensive patients enrolled in the Hiperdia Program, a program of the Single Health System for the follow-up and monitoring of hypertensive patients, is still far below the desired level.Objective:To describe the epidemiological profile and to assess blood pressure control of patients enrolled in Hiperdia, in the city of Novo Hamburgo (State of Rio Grande do Sul, Brazil).Methods:Cross-sectional study with a stratified cluster random sample, including 383 adults enrolled in the Hiperdia Program of the 15 Basic Health Units of the city of Porto Alegre, conducted between 2010 and 2011. Controlled blood pressure was defined as ≤140 mmHg × 90 mmHg. The hypertensive patients were interviewed and their blood pressure was measured using a calibrated aneroid device. Prevalence ratios (PR) with 95% confidence interval, Wald's χ2 test, and simple and multiple Poisson regression were used in the statistical analysis.Results:The mean age was 63 ± 10 years, and most of the patients were females belonging to social class C, with a low level of education, a sedentary lifestyle, and family history positive for systemic hypertension. Diabetes mellitus (DM) was observed in 31%; adherence to the antihypertensive treatment in 54.3%; and 33.7% had their blood pressure controlled. DM was strongly associated with inadequate BP control, with only 15.7% of the diabetics showing BP considered as controlled.Conclusion:Even for hypertensive patients enrolled in the Hiperdia Program, BP control is not satisfactorily reached or sustained. Diabetic hypertensive patients show the most inappropriate BP control.
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Magdeburg, Univ., Medizin. Fakultät, Diss., 2008
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Electromagnetic compatibility, lightning, crosstalk surge voltages, Monte Carlo simulation, accident initiator
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Spiral wave,feedback mechanism, photosensitive BZ reaction, excitable media, drift vetor field plot, planewave approximation, BZ, nonlinear
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Magdeburg, Univ., Diss, 2007
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Protease-activated receptor, interleukin, thrombin, trypsin, asthma
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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2010
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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2012