833 resultados para Modern science based resource management


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Dissertação de mestrado em Gestão de Recursos Humanos

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Tese de Doutoramento em Tecnologias e Sistemas de Informação.

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This study analyses the area of construction and demolition waste (C & D W) auditing. The production of C&DW has grown year after year since the Environmental Protection Agency (EPA) first published a report in 1996 which provided data for C&D W quantities for 1995 (EPA, 1996a). The most recent report produced by the EPA is based on data for 2005 (EPA, 2006). This report estimated that the quantity of C&DW produced for that period to be 14 931 486 tonnes. However, this is a ‘data update’ report containing an update on certain waste statistics so any total provided would not be a true reflection of the waste produced for that period. This illustrates that a more construction site-specific form of data is required. The Department of Building and Civil Engineering in the Galway-Mayo Institute of Technology have carried out two recent research projects (Grimes, 2005; Kelly, 2006) in this area, which have produced waste production indicators based on site-specific data. This involved the design and testing of an original auditing tool based on visual characterisation and the application of conversion factors. One of the main recommendations of these studies was to compare this visual characterisation approach with a photogrammetric sorting methodology. This study investigates the application of photogrammetric sorting on a residential construction site in the Galway region. A visual characterisation study is also carried out on the same project to compare the two methodologies and assess the practical application in a construction site environment. Data collected from the waste management contractor on site was also used to provide further evaluation. From this, a set of waste production indicators for new residential construction was produced: □ 50.8 kg/m2 for new residential construction using data provided by the visual characterisation method and the Landfill Levy conversion factors. □ 43 kg/m2 for new residential construction using data provided by the photogrammetric sorting method and the Landfill Levy conversion factors. □ 23.8 kg/m2 for new residential construction using data provided by Waste Management Contractor (WMC). The acquisition of the data from the waste management contractor was a key element for testing of the information produced by the visual characterisation and photogrammetric sorting methods. The actual weight provided by the waste management contractor shows a significant difference between the quantities provided.

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Quality Management is a well-developed and widely used approach within industry to gain competitive edge and increased market share. It is a new management approach for schools who are now applying it without having the culture or experience of its evolution. Industrially based Quality management systems and excellence models have been developed. These excellence models and frameworks are based on the principles and concepts of TQM which are recognised as essential elements of high performing organisations. Schools are complex social institutions that provide a service. Like any other service industry, the customers of education are expecting and demanding a better service or else they will go elsewhere. Schools are beginning to reform and change to adapt to such demands. This has been reflected in Ireland in the Education Act, 1998. It is now the right time to develop a quality management system specifically for schools. The existing industrial excellence models have been modified for use in the private and public sector and some have been specifically tailored for education. The problem with such models is that they are still too sophisticated and the language still too industrial for schools. This Thesis develops and Excellence Model for Second Level Schools and provides guidance and school specific tools for its implementation.

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Estudio realizado a partir de una estancia en el Centro de Filosofia e Ciências Humanas de la Universidade Federal de Santa Catarina, Brasil, durant entre septiembre y noviembre del 2005. El intercambio con los grupos de trabajo del Programa de Pós-Graduçao Interdisciplinar em Ciências Humanas (UFSCE-Brasil), se ha llevado a cabo con el objetivo de profundizar en las diferentes perspectivas teóricas y analíticas que orientan la reflexión sobre el papel crítico de los investigadores en el área de sociología del conocimiento ambiental científico. Esto ha permitido conocer experiencias-laboratorios de procesos participativos para planear intervenciones en áreas protegidas. Estas orientaciones conceptuales, epistemológicas y metodológicas ayudaran a la candidata a reforzar la aproximación de investigación participativa del proyecto “Avaluació social multicriteri per a la presa de decisions orientades a una gestió conservativa de sistemes agropecuaris i el desenvolupament sostenible de la zona seca i semi-seca del paisatge terrestre protegit de Miraflor-Moropotente (Nicaragua)” que es la línea del trabajo de PhD de la candidata. En especial, las reflexiones teóricas y metodológicas se han centrado en los siguientes temas: aproximación sistemática y basada en los actores para el análisis de sistemas complejos y incertezas, métodos participativos para las evaluaciones integradas de sustentabilidad que apoyan los procesos de toma de decisiones, o el nuevo papel de los investigadores sobre una perspectiva compleja de análisis y diálogo entre los conocimientos científicos y locales.

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Amb l'evolució de la tecnologia les capacitats de còmput es van incrementant i problemes irresolubles del passat deixen de ser-ho amb els recursos actuals. La majoria d'aplicacions que s'enfronten a aquests problemes són complexes, ja que per aconseguir taxes elevades de rendiment es fa necessari utilitzar el major nombre de recursos possibles, i això les dota d'una arquitectura inherentment distribuïda. Seguint la tendència de la comunitat investigadora, en aquest treball de recerca es proposa una arquitectura per a entorns grids basada en la virtualització de recursos que possibilita la gestió eficient d'aquests recursos. L'experimentació duta a terme ha permès comprovar la viabilitat d'aquesta arquitectura i la millora en la gestió que la utilització de màquines virtuals proporciona.

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For the execution of the scientific applications, different methods have been proposed to dynamically provide execution environments for such applications that hide the complexity of underlying distributed and heterogeneous infrastructures. Recently virtualization has emerged as a promising technology to provide such environments. Virtualization is a technology that abstracts away the details of physical hardware and provides virtualized resources for high-level scientific applications. Virtualization offers a cost-effective and flexible way to use and manage computing resources. Such an abstraction is appealing in Grid computing and Cloud computing for better matching jobs (applications) to computational resources. This work applies the virtualization concept to the Condor dynamic resource management system by using Condor Virtual Universe to harvest the existing virtual computing resources to their maximum utility. It allows existing computing resources to be dynamically provisioned at run-time by users based on application requirements instead of statically at design-time thereby lay the basis for efficient use of the available resources, thus providing way for the efficient use of the available resources.

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While the US jurisprudence of the 1993 Daubert requires judges to question not only the methodology behind, but also the principles governing, a body of knowledge to qualify it as scientific, can forensic science, based on Locard's and Kirk's Principles, pretend to this higher status in the courtroom ? Moving away from the disputable American legal debate, this historical and philosophical study will screen the relevance of the different logical epistemologies to recognize the scientific status of forensic science. As a consequence, the authors are supporting a call for its recognition as a science of its own, defined as the science of identifying and associating traces for investigative and security purposes, based o its fundamental principles and the case assesment and interpretation process that follows with its specific and relevant mode of inference.

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Currently equality plans are an effective tool to incorporate equal opportunities in human resource management of both companies and public administrations. They are also the appropriate mechanism to detect possible disparities and gender gaps in employment. Configured as an ordered set of actions and measures taken after a diagnosis of the situation and help organizations to promote equal treatment and opportunities between women and men in the workplace, and help eliminate discrimination based on sex. In this regard, the Directorate General of Health Planning and Innovation of the Ministry of Health, intends to promote and facilitate the development and implementation of equality plans in institutions and centers of the Andalusian Public Health System. This has raised the production and dissemination of a methodological guide that supports the design of equality plans in unison to allow both the completion of the monitoring process as the development and practical implementation of those plans.

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In networks with small buffers, such as optical packet switching based networks, the convolution approach is presented as one of the most accurate method used for the connection admission control. Admission control and resource management have been addressed in other works oriented to bursty traffic and ATM. This paper focuses on heterogeneous traffic in OPS based networks. Using heterogeneous traffic and bufferless networks the enhanced convolution approach is a good solution. However, both methods (CA and ECA) present a high computational cost for high number of connections. Two new mechanisms (UMCA and ISCA) based on Monte Carlo method are proposed to overcome this drawback. Simulation results show that our proposals achieve lower computational cost compared to enhanced convolution approach with an small stochastic error in the probability estimation

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Fear of achieving higher levels of nurse autonomy must be overcome for a new environment of relationships, change, communication and respect within the multidisciplinary team. The progressive achievement of new skills, the handling of evidence and the implementation of models and ways of working based on the nursing process, through encouraged training courses into the company and by the possibility of resource management in line and technology, foster as the ideal setting for Emergency Nursing, Emergency and Disaster acquires its own identity and development.

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The vast territories that have been radioactively contaminated during the 1986 Chernobyl accident provide a substantial data set of radioactive monitoring data, which can be used for the verification and testing of the different spatial estimation (prediction) methods involved in risk assessment studies. Using the Chernobyl data set for such a purpose is motivated by its heterogeneous spatial structure (the data are characterized by large-scale correlations, short-scale variability, spotty features, etc.). The present work is concerned with the application of the Bayesian Maximum Entropy (BME) method to estimate the extent and the magnitude of the radioactive soil contamination by 137Cs due to the Chernobyl fallout. The powerful BME method allows rigorous incorporation of a wide variety of knowledge bases into the spatial estimation procedure leading to informative contamination maps. Exact measurements (?hard? data) are combined with secondary information on local uncertainties (treated as ?soft? data) to generate science-based uncertainty assessment of soil contamination estimates at unsampled locations. BME describes uncertainty in terms of the posterior probability distributions generated across space, whereas no assumption about the underlying distribution is made and non-linear estimators are automatically incorporated. Traditional estimation variances based on the assumption of an underlying Gaussian distribution (analogous, e.g., to the kriging variance) can be derived as a special case of the BME uncertainty analysis. The BME estimates obtained using hard and soft data are compared with the BME estimates obtained using only hard data. The comparison involves both the accuracy of the estimation maps using the exact data and the assessment of the associated uncertainty using repeated measurements. Furthermore, a comparison of the spatial estimation accuracy obtained by the two methods was carried out using a validation data set of hard data. Finally, a separate uncertainty analysis was conducted that evaluated the ability of the posterior probabilities to reproduce the distribution of the raw repeated measurements available in certain populated sites. The analysis provides an illustration of the improvement in mapping accuracy obtained by adding soft data to the existing hard data and, in general, demonstrates that the BME method performs well both in terms of estimation accuracy as well as in terms estimation error assessment, which are both useful features for the Chernobyl fallout study.