6 resultados para Evaluating a Cuisine: Six Criteria
em Universidad Politécnica de Madrid
Resumo:
Improved management of nitrogen (N) in agriculture is necessary to achieve a sustainable balance between the production of food and other biomass, and the unwanted effects of N on water pollution, greenhouse gas emissions, biodiversity deterioration and human health. To analyse farm N-losses and the complex interactions within farming systems, efficient methods for identifying emissions hotspots and evaluating mitigation measures are therefore needed. The present paper aims to fill this gap at the farm and landscape scales. Six agricultural landscapes in Poland (PL), the Netherlands (NL), France (FR), Italy (IT), Scotland (UK) and Denmark (DK) were studied, and a common method was developed for undertaking farm inventories and the derivation of farm N balances, N surpluses and for evaluating uncertainty for the 222 farms and 11 440 ha of farmland included in the study. In all landscapes, a large variation in the farm N surplus was found, and thereby a large potential for reductions. The highest average N surpluses were found in the most livestock-intensive landscapes of IT, FR, and NL; on average 202 ± 28, 179 ± 63 and 178 ± 20 kg N ha−1 yr−1, respectively. All landscapes showed hotspots, especially from livestock farms, including a special UK case with large-scale landless poultry farming. Overall, the average N surplus from the land-based UK farms dominated by extensive sheep and cattle grazing was only 31 ± 10 kg N ha−1 yr−1, but was similar to the N surplus of PL and DK (122 ± 20 and 146 ± 55 kg N ha−1 yr−1, respectively) when landless poultry farming was included. We found farm N balances to be a useful indicator for N losses and the potential for improving N management. Significant correlations to N surplus were found, both with ammonia air concentrations and nitrate concentrations in soils and groundwater, measured during the period of N management data collection in the landscapes from 2007–2009. This indicates that farm N surpluses may be used as an independent dataset for validation of measured and modelled N emissions in agricultural landscapes. No significant correlation was found with N measured in surface waters, probably because of spatial and temporal variations in groundwater buffering and biogeochemical reactions affecting N flows from farm to surface waters. A case study of the development in N surplus from the landscape in DK from 1998–2008 showed a 22% reduction related to measures targeted at N emissions from livestock farms. Based on the large differences in N surplus between average N management farms and the most modern and N-efficient farms, it was concluded that additional N-surplus reductions of 25–50%, as compared to the present level, were realistic in all landscapes. The implemented N-surplus method was thus effective for comparing and synthesizing results on farm N emissions and the potentials of mitigation options. It is recommended for use in combination with other methods for the assessment of landscape N emissions and farm N efficiency, including more detailed N source and N sink hotspot mapping, measurements and modelling.
Resumo:
This paper explains a procedure for the choice of ballast modules used for the design of direct continuous foundation in karst terrain. The presence of dangerous cavities is introduced in this procedure thereby evaluating risk failure. It also provides pertinent guidelines to direct the geotechnical survey of the terrain.
Resumo:
This paper explains a procedure for the choice of ballast modules used for the design of direct continuous foundation in karst terrain. The presence of dangerous cavities is introduced in this procedure thereby evaluating risk failure. It also provides pertinent guidelines to direct the geotechnical survey of the terrain.
Resumo:
The primary hypothesis stated by this paper is that the use of social choice theory in Ambient Intelligence systems can improve significantly users satisfaction when accessing shared resources. A research methodology based on agent based social simulations is employed to support this hypothesis and to evaluate these benefits. The result is a six-fold contribution summarized as follows. Firstly, several considerable differences between this application case and the most prominent social choice application, political elections, have been found and described. Secondly, given these differences, a number of metrics to evaluate different voting systems in this scope have been proposed and formalized. Thirdly, given the presented application and the metrics proposed, the performance of a number of well known electoral systems is compared. Fourthly, as a result of the performance study, a novel voting algorithm capable of obtaining the best balance between the metrics reviewed is introduced. Fifthly, to improve the social welfare in the experiments, the voting methods are combined with cluster analysis techniques. Finally, the article is complemented by a free and open-source tool, VoteSim, which ensures not only the reproducibility of the experimental results presented, but also allows the interested reader to adapt the case study presented to different environments.
Resumo:
El presente trabajo tiene como objetivo general el análisis de las técnicas de diseño y optimización de redes topográficas, observadas mediante topografía convencional (no satelital) el desarrollo e implementación de un sistema informático capaz de ayudar a la definición de la geometría más fiable y precisa, en función de la orografía del terreno donde se tenga que ubicar. En primer lugar se realizará un estudio de la metodología del ajuste mediante mínimos cuadrados y la propagación de varianzas, para posteriormente analizar su dependencia de la geometría que adopte la red. Será imprescindible determinar la independencia de la matriz de redundancia (R) de las observaciones y su total dependencia de la geometría, así como la influencia de su diagonal principal (rii), números de redundancia, para garantizar la máxima fiabilidad interna de la misma. También se analizará el comportamiento de los números de redundancia (rii) en el diseño de una red topográfica, la variación de dichos valores en función de la geometría, analizando su independencia respecto de las observaciones así como los diferentes niveles de diseño en función de los parámetros y datos conocidos. Ha de señalarse que la optimización de la red, con arreglo a los criterios expuestos, está sujeta a los condicionantes que impone la necesidad de que los vértices sean accesibles, y además sean visibles entre sí, aquellos relacionados por observaciones, situaciones que dependen esencialmente del relieve del terreno y de los obstáculos naturales o artificiales que puedan existir. Esto implica la necesidad de incluir en el análisis y en el diseño, cuando menos de un modelo digital del terreno (MDT), aunque lo más útil sería la inclusión en el estudio del modelo digital de superficie (MDS), pero esta opción no siempre será posible. Aunque el tratamiento del diseño esté basado en un sistema bidimensional se estudiará la posibilidad de incorporar un modelo digital de superficie (MDS); esto permitirá a la hora de diseñar el emplazamiento de los vértices de la red la viabilidad de las observaciones en función de la orografía y los elementos, tanto naturales como artificiales, que sobre ella estén ubicados. Este sistema proporcionaría, en un principio, un diseño óptimo de una red constreñida, atendiendo a la fiabilidad interna y a la precisión final de sus vértices, teniendo en cuenta la orografía, lo que equivaldría a resolver un planteamiento de diseño en dos dimensiones y media1; siempre y cuando se dispusiera de un modelo digital de superficie o del terreno. Dado que la disponibilidad de obtener de manera libre el MDS de las zonas de interés del proyecto, hoy en día es costoso2, se planteará la posibilidad de conjuntar, para el estudio del diseño de la red, de un modelo digital del terreno. Las actividades a desarrollar en el trabajo de esta tesis se describen en esta memoria y se enmarcan dentro de la investigación para la que se plantean los siguientes objetivos globales: 1. Establecer un modelo matemático del proceso de observación de una red topográfica, atendiendo a todos los factores que intervienen en el mismo y a su influencia sobre las estimaciones de las incógnitas que se obtienen como resultado del ajuste de las observaciones. 2. Desarrollar un sistema que permita optimizar una red topográfica en sus resultados, aplicando técnicas de diseño y simulación sobre el modelo anterior. 3. Presentar una formulación explícita y rigurosa de los parámetros que valoran la fiabilidad de una red topográfica y de sus relaciones con el diseño de la misma. El logro de este objetivo se basa, además de en la búsqueda y revisión de las fuentes, en una intensa labor de unificación de notaciones y de construcción de pasos intermedios en los desarrollos matemáticos. 4. Elaborar una visión conjunta de la influencia del diseño de una red, en los seis siguientes factores (precisiones a posteriori, fiabilidad de las observaciones, naturaleza y viabilidad de las mismas, instrumental y metodología de estacionamiento) como criterios de optimización, con la finalidad de enmarcar el tema concreto que aquí se aborda. 5. Elaborar y programar los algoritmos necesarios para poder desarrollar una aplicación que sea capaz de contemplar las variables planteadas en el apartado anterior en el problema del diseño y simulación de redes topográficas, contemplando el modelo digital de superficie. Podrían considerarse como objetivos secundarios, los siguientes apartados: Desarrollar los algoritmos necesarios para interrelacionar el modelo digital del terreno con los propios del diseño. Implementar en la aplicación informática la posibilidad de variación, por parte del usuario, de los criterios de cobertura de los parámetros (distribución normal o t de Student), así como los grados de fiabilidad de los mismos ABSTRACT The overall purpose of this work is the analysis of the techniques of design and optimization for geodetic networks, measured with conventional survey methods (not satellite), the development and implementation of a computational system capable to help on the definition of the most liable and accurate geometry, depending on the land orography where the network has to be located. First of all, a study of the methodology by least squares adjustment and propagation of variances will be held; then, subsequently, analyze its dependency of the geometry that the network will take. It will be essential to determine the independency of redundancy matrix (R) from the observations and its absolute dependency from the network geometry, as well as the influence of the diagonal terms of the R matrix (rii), redundancy numbers, in order to ensure maximum re liability of the network. It will also be analyzed first the behavior of redundancy numbers (rii) in surveying network design, then the variation of these values depending on the geometry with the analysis of its independency from the observations, and finally the different design levels depending on parameters and known data. It should be stated that network optimization, according to exposed criteria, is subject to the accessibility of the network points. In addition, common visibility among network points, which of them are connected with observations, has to be considered. All these situations depends essentially on the terrain relief and the natural or artificial obstacles that should exist. Therefore, it is necessary to include, at least, a digital terrain model (DTM), and better a digital surface model (DSM), not always available. Although design treatment is based on a bidimensional system, the possibility of incorporating a digital surface model (DSM) will be studied; this will allow evaluating the observations feasibility based on the terrain and the elements, both natural and artificial, which are located on it, when selecting network point locations. This system would provide, at first, an optimal design of a constrained network, considering both the internal reliability and the accuracy of its points (including the relief). This approach would amount to solving a “two and a half dimensional”3 design, if a digital surface model is available. As the availability of free DSM4 of the areas of interest of the project today is expensive, the possibility of combining a digital terrain model will arise. The activities to be developed on this PhD thesis are described in this document and are part of the research for which the following overall objectives are posed: 1. To establish a mathematical model for the process of observation of a survey network, considering all the factors involved and its influence on the estimates of the unknowns that are obtained as a result of the observations adjustment. 2. To develop a system to optimize a survey network results, applying design and simulation techniques on the previous model. 3. To present an explicit and rigorous formulation of parameters which assess the reliability of a survey network and its relations with the design. The achievement of this objective is based, besides on the search and review of sources, in an intense work of unification of notation and construction of intermediate steps in the mathematical developments. 4. To develop an overview of the influence on the network design of six major factors (posterior accuracy, observations reliability, viability of observations, instruments and station methodology) as optimization criteria, in order to define the subject approached on this document. 5. To elaborate and program the algorithms needed to develop an application software capable of considering the variables proposed in the previous section, on the problem of design and simulation of surveying networks, considering the digital surface model. It could be considered as secondary objectives, the following paragraphs: To develop the necessary algorithms to interrelate the digital terrain model with the design ones. To implement in the software application the possibility of variation of the coverage criteria parameters (normal distribution or Student t test) and therefore its degree of reliability.
Resumo:
Durante los últimos 30 años se han creado una gran cantidad de índices e indicadores para evaluar la práctica totalidad de los países bajo distintas premisas. La tesis parte de un análisis detallado de más de un centenar de estos índices diferenciados entre los enfocados al desarrollo y los enfocados a la competitividad económica (véase Módulo I anexo) y tras esto, dentro del estudio teórico nos hemos centrado en 35 indicadores relacionados con la tecnología (capítulo 3, apartado 3.3.). La justificación, el objetivo de la investigación y la estructura de la tesis se presenta en el capítulo 2. Respecto a la metodología, tal y como se plantea en la hipótesis (apartado 2.2.), se presentan los criterios de selección de seis grupos de países (EP, EPC, EC, ECI, EI y EM)1, que se van a evaluar. Posteriormente se plantea el Protocolo de Cálculo para el total de grupos seleccionados dentro de los periodos 2005-2006 y 2007-2008 y se realiza una profunda evaluación estadística como se plantea dentro de la coherencia estadística explicada en el apartado 3.4.4.5. (también se dispone de los cálculos dentro de los Módulos II, III, IV y V anexos). Tras la metodología establecemos la construcción de un índice sintético NRI(A) y, tras esto, estudiamos las relaciones así como la interpretación de los resultados (capítulo 4, apartado 4.1.). Una vez obtenidos los resultados realizamos la validación de los mismos para el periodo 2007-2015 (capítulo 4 - apartado 4.2. – y los Módulos VI y VII anexos). En el capítulo 5, evaluamos el nivel de preparación tecnológico y su relación con la competitividad para los seis grupos de países (véase desde los apartados 5.1.y 5.2.). Dentro de cada uno de los seis grupos de países, sabemos las variables que cualitativamente tienen que priorizarse para mejorar el nivel de preparación tecnológica de los mismos. Estas variables inicialmente son sesenta y ocho – año 2007-08 –, y al final de la implementación del método se reducen notablemente. Estas variables finales, llamadas Indicadores Clave de Actuación (ICA), se agrupan – vía análisis factorial – en Factores Clave de Actuación que nos simplifican lo planteado. Para cada grupo de países se realizan los conglomerados de acuerdo a sus valores dentro de las ICAs en busca de singularidades y se ha llevado a cabo un análisis minucioso en función de los Indicadores Clave de Actuación. La Tesis, plantea científicamente como podemos evaluar el nivel de preparación tecnológica y su relación con la competitividad, desde un índice sintético creado NRI(A), que contempla únicamente Indicadores Clave de Actuación (variables seleccionadas) a partir de las variables originales del Network Readiness Index (NRI(R)) . Por último se plantea dentro de las conclusiones, capítulo 6, diferentes líneas de investigación, desarrollando dos de ellas que se pueden encontrar en el Modulo VIII anexo. Por un lado presentamos una línea de investigación centrada en 29 economías africanas (EA) de las que disponemos información fidedigna y por otro lado una segunda línea en la que nos centramos en la evaluación de España respecto a sus naciones coetáneas. La principal voluntad de la presente tesis doctoral, es simplificar la evaluación del nivel de preparación tecnológica y la relación de esta con la competitividad a partir de la creación de un índice sintético propio NRI(A). ABSTRACT - During the last 30 years, many institutions have been evaluating and endless range of variables in practically all of the world´s economies. This Thesis is the product of a detail analysis of more than one hundred indicators / index, which we have divided into two parts: those focused on development and those focused on economic competitiveness (see module I annex). Secondly, in our theoretical research we have concentrated on those indicators, which are related to technology (chapters 3, section 3.3). The selection criteria of the six economic groups to be evaluated are included in our methodology, as mentioned in the hypothesis (see section 2.2.). Subsequently the calculation procedure is also presented for all of the groups selected between the periods 2005-2006 and 2007-2008. Next, we perform a statistical study, which is presented accordingly in the segment dealing with statistics, section 3.4.4.5. The calculations are provided in modules I, II, III, IV and V annex. After the methods segment of the Thesis, we develop our argument, in which we presented the explanation of the relations as well as the interpretation of the results. Also at the chapter 4 you can find the result validation from 2007 till 2015. Finally in chapters 6, we evaluate the conclusions for the six economic groups (see section 6.2.). The Thesis scientifically explains the way in which we evaluate economic competitiveness in 135 countries from a standpoint of strictly technological variables. Six groups of countries are evaluated, being divided by criteria, which homogenize the economies under review. We recognize that the variables of each economic group should be prioritized in order to better their competitiveness. Initially the group consisted of 68 variables, a number which was considerably reduced after the implementation of our methodology. Likewise, these final variables, dubbed “key performance indicators”, were grouped into factors (key performance factors), which greatly simplify the prioritization process. At the same time, conglomerates have been created for each economic group according to their value concerning the selected variables. A detailed country – by – country analysis of their positioning in each of the six groups was conducted for each of the mathematically selected key performance indicators. Finally, at the Conclusion we introduce new research lines and between them we focus on two research lines in which ones we are working with (see chapter 6). We basically try to apply the multivariable analysis method, the factorial analysis and the conglomerates to designed and implemented our method first in a geographically group of countries (Africa) and secondly to evaluate and develop the public policies for Spain for the development of its competitively, comparing Spain to his coetaneous countries in Europe (see Module VIII). The main objective of this Doctoral Thesis is to noticeably simplify the comparison of the Network Readiness Index and its relation with the economic competitiveness of the countries using a new synthetic index design by us.