960 resultados para Separating of variables
Variáveis evidenciadoras dos processos de transformação do campo : O caso do Espírito Santo - Brasil
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This article aims to analyze the occurrence of changes in the countryside, in Brazil, from the observation of variables such as type of job, income, family profile, access to consumer goods, services, and information and communication technology. There had been used exploratory analysis and logistic regression method, based on data from the Pesquisa Nacional de Amostra de Domicílios (Brazilian National Household Sample Survey - PNAD) for the state of Espirito Santo. The study found that about 27.2 of individuals who had lived in the countryside report an urban profile, revealing that the urban lifestyle is encompassed not only in the city
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El presente artículo analiza la adopción y los principales usos de la plataforma Facebook por parte de las bibliotecas de los centros e institutos de investigación en Argentina. Luego de una revisión bibliográfica sobre la temática, se exponen los procedimientos metodológicos empleados para identificar, en primer lugar, las instituciones que cuentan con esta herramienta de comunicación en la actualidad y, en segundo término, los usos que se hace de ella a partir de una serie de variables, entre las que caben consignar: el momento de inicio, los vínculos con otros medios de comunicación administrados por la institución (webs y redes sociales), el número de seguidores, el empleo de las imágenes, la frecuencia y el tipo de posteos y, por último, la cantidad y la calidadá de los comentarios. En los resultados se trabaja la información recabada procurando un análisis cuantitativo y otro cualitativo en la construcción de un panorama global. En las conclusiones se destaca que el escaso número de bibliotecas que adoptaron Facebook impide proyectar las afirmaciones más allá de los casos. No obstante, se detectaron aspectos vinculados con las dinámicas de apropiación que pueden ser utilizados para pensar otras circunstancias. Entre ellos se destaca, de un lado, la diversidad de situaciones en relación a la construcción de una estrategia comunicacional definida por la periodicidad y calidad de las publicaciones; de otro, la funcionalidad que en general adquiere Facebook como medio de difusión, en lugar de explotarse como un espacio de intercambio y construcción colectiva.
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As the length of marine cores increases and sampling intervals decrease, the need for rapid and inexpensive means of determining sediment composition has become apparent. In this study we examine one potentially useful technique for assessing compositional changes in marine cores, diffuse reflectance spectrophotometry. We examined near-ultraviolet, visible, and near-infrared reflectance spectra from five data sets. Each data set consists of calibration samples and test samples. The calibration samples' spectra were related to a sediment component using multiple linear regression. The resulting regression or calibration equations were then evaluated using the test samples. Calibration equations were written relating spectra to several sediment components incduding carbonate (Atlantic and east Pacific Rise ODP Site 847), organic carbon content (Atlantic and east Pacific Rise), and opal content (east Pacific Rise). The correlation coefficients for the regression equations ranged from a high of 0.99 for carbonate and opal at ODP Site 847 to a low of 0.97 for Atlantic carbonate indicating that spectral variations are highly correlated to sediment composition. All of the equations include a substantial number of variables from shorter visible and longer near ultraviolet wavelengths suggesting that these wavelengths are especially important for devices designed specifically to scan marine cores. Although equations for estimating organic and carbonate content appear independent of other sediment components, the opal equation is strongly dependent on carbonate content indicating that opal concentration is correlated to carbonate content. Tests of the calibration equations indicated that all our equations reasonably estimate the pattern of changes, either down core or in surface sediments. Where our spectral estimates have difficulty is with absolute values, frequently over or underestimating observed values by a substantial amount. Within these limitations diffuse reflectance spectrophotometry can be a useful tool for characterizing marine cores and as our understanding of the relationship between spectra and mineralogy improves so will estimates of absolute values.
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This study analyzes the patterns of agglomeration of some modern manufacturing sectors in India, and in particular the Indian automobile sector. It also examines and contrasts the factors that have led to different patterns of cluster development in two leading auto clusters in India-Chennai and the National Capital Region (NCR). Moreover, the study analyzes whether firms in clusters perform better than those that are excluded and whether the relative importance of variables that determine the behavior of firms differs among clusters. Our analyses, which employ a combination of quantitative and qualitative methods, show that Indian industrial clusters are largely concentrated in the three clustered regions: NCR, Mumbai-Pune, and Chennai-Bangalore, across different manufacturing sectors. Our study of the auto clusters in Chennai and the NCR find considerable differences in the patterns of cluster formation, due partly to the historical and policy conditions under which firms, particularly, the lead firms must operate. Moreover, our econometric analyses confirmed that being part of a cluster positively influences the performance of the auto component firms and those belonging to a cluster perform better.
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This doctoral thesis explores some of the possibilities that near-field optics can bring to photovoltaics, and in particular to quantum-dot intermediate band solar cells (QD-IBSCs). Our main focus is the analytical optimization of the electric field distribution produced in the vicinity of single scattering particles, in order to produce the highest possible absorption enhancement in the photovoltaic medium in their surroundings. Near-field scattering structures have also been fabricated in laboratory, allowing the application of the previously studied theoretical concepts to real devices. We start by looking into the electrostatic scattering regime, which is only applicable to sub-wavelength sized particles. In this regime it was found that metallic nano-spheroids can produce absorption enhancements of about two orders of magnitude on the material in their vicinity, due to their strong plasmonic resonance. The frequency of such resonance can be tuned with the shape of the particles, allowing us to match it with the optimal transition energies of the intermediate band material. Since these metallic nanoparticles (MNPs) are to be inserted inside the cell photovoltaic medium, they should be coated by a thin insulating layer to prevent electron-hole recombination at their surface. This analysis is then generalized, using an analytical separation-of-variables method implemented in Mathematica7.0, to compute scattering by spheroids of any size and material. This code allowed the study of the scattering properties of wavelengthsized particles (mesoscopic regime), and it was verified that in this regime dielectric spheroids perform better than metallic. The light intensity scattered from such dielectric spheroids can have more than two orders of magnitude than the incident intensity, and the focal region in front of the particle can be shaped in several ways by changing the particle geometry and/or material. Experimental work was also performed in this PhD to implement in practice the concepts studied in the analysis of sub-wavelength MNPs. A wet-coating method was developed to self-assemble regular arrays of colloidal MNPs on the surface of several materials, such as silicon wafers, amorphous silicon films, gallium arsenide and glass. A series of thermal and chemical tests have been performed showing what treatments the nanoparticles can withstand for their embedment in a photovoltaic medium. MNPs arrays are then inserted in an amorphous silicon medium to study the effect of their plasmonic near-field enhancement on the absorption spectrum of the material. The self-assembled arrays of MNPs constructed in these experiments inspired a new strategy for fabricating IBSCs using colloidal quantum dots (CQDs). Such CQDs can be deposited in self-assembled monolayers, using procedures similar to those developed for the patterning of colloidal MNPs. The use of CQDs to form the intermediate band presents several important practical and physical advantages relative to the conventional dots epitaxially grown by the Stranski-Krastanov method. Besides, this provides a fast and inexpensive method for patterning binary arrays of QDs and MNPs, envisioned in the theoretical part of this thesis, in which the MNPs act as antennas focusing the light in the QDs and therefore boosting their absorption
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We explore the near-field concentration properties of dielectric spheroidal scatterers with sizes close to the wavelength, using an analytical separation-of-variables method. Such particles act as mesoscopic lenses whose physical parameters are optimized here for maximum scattered light enhancement in photovoltaic applications.
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The fuzzy min–max neural network classifier is a supervised learning method. This classifier takes the hybrid neural networks and fuzzy systems approach. All input variables in the network are required to correspond to continuously valued variables, and this can be a significant constraint in many real-world situations where there are not only quantitative but also categorical data. The usual way of dealing with this type of variables is to replace the categorical by numerical values and treat them as if they were continuously valued. But this method, implicitly defines a possibly unsuitable metric for the categories. A number of different procedures have been proposed to tackle the problem. In this article, we present a new method. The procedure extends the fuzzy min–max neural network input to categorical variables by introducing new fuzzy sets, a new operation, and a new architecture. This provides for greater flexibility and wider application. The proposed method is then applied to missing data imputation in voting intention polls. The micro data—the set of the respondents’ individual answers to the questions—of this type of poll are especially suited for evaluating the method since they include a large number of numerical and categorical attributes.
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En estos tiempos de crisis se hace imperativo lograr un consumo de recursos públicos lo más racional posible. El transporte público urbano es un sector al que se dedican grandes inversiones y cuya prestación de servicios está fuertemente subvencionada. El incremento de la eficiencia técnica del sector, entendida como la relación entre producción de servicios y consumo de recursos, puede ayudar a conseguir una mejor gestión de los fondos públicos. Un primer paso para que se produzca una mejora es el desarrollo de una metodología de evaluación de la eficiencia técnica de las compañías de transporte público. Existen diferentes métodos para la evaluación técnica de un conjunto de compañías pertenecientes a un sector. Uno de los más utilizados es el método frontera, en el que se encuentra el análisis envolvente de datos (Data Envelopment Analysis, DEA, por sus siglas en inglés). Este método permite establecer una frontera de eficiencia técnica relativa a un determinado grupo de compañías, en función de un número limitado de variables. Las variables deben cuantificar, por un lado, la prestación de servicios de las distintas compañías (outputs), y por el otro, los recursos consumidos en la producción de dichos servicios (inputs). El objetivo de esta tesis es analizar, mediante el uso del método DEA, la eficiencia técnica de los servicios de autobuses urbanos en España. Para ello, se estudia el número de variables más adecuado para conformar los modelos con los que se obtienen las fronteras de eficiencia. En el desarrollo de la metodología se utilizan indicadores de los servicios de autobús urbano de las principales ciudades de las áreas metropolitanas españolas, para el periodo 2004-2009. In times of crisis it is imperative achieve a consumption of public resources as rational as possible. Urban public transport is a sector devoted to large investments and whose services are heavily subsidized. Increase the technical efficiency of the sector, defined as the ratio of service output and resource consumption, can help achieve a better management of public funds. One step to produce an improvement is the development of a methodology for evaluating the technical efficiency of the public transport companies. There are different methods for the technical evaluation of a set of companies within an industry. One of the most widely used methods is the frontier method, in particular the Data Envelopment Analysis (DEA). This method allows the calculation of a technical efficiency frontier on a specific group of companies, based on a limited number of variables. Variables must quantify, on the one hand, the provision of services of different companies (outputs), and on the other hand, the resources consumed in the production of such services (inputs). The objective of this thesis is to analyze, using the DEA method, the technical efficiency of urban bus services in Spain. For this purpose, it is studied the more suitable variables that can be used in the models to obtain the efficiency frontiers. In developing the methodology are used indicators of urban bus services in major cities of the Spanish metropolitan areas for the period 2004-2009.
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The Set-Sharing domain has been widely used to infer at compiletime interesting properties of logic programs such as occurs-check reduction, automatic parallelization, and flnite-tree analysis. However, performing abstract uniflcation in this domain requires a closure operation that increases the number of sharing groups exponentially. Much attention has been given to mitigating this key inefflciency in this otherwise very useful domain. In this paper we present a novel approach to Set-Sharing: we define a new representation that leverages the complement (or negative) sharing relationships of the original sharing set, without loss of accuracy. Intuitively, given an abstract state sh\> over the finite set of variables of interest V, its negative representation is p(V) \ shy. Using this encoding during analysis dramatically reduces the number of elements that need to be represented in the abstract states and during abstract uniflcation as the cardinality of the original set grows toward 2 . To further compress the number of elements, we express the set-sharing relationships through a set of ternary strings that compacts the representation by eliminating redundancies among the sharing sets. Our experiments show that our approach can compress the number of relationships, reducing signiflcantly the memory usage and running time of all abstract operations, including abstract uniflcation.
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We provide a method whereby, given mode and (upper approximation) type information, we can detect procedures and goals that can be guaranteed to not fail (i.e., to produce at least one solution or not termínate). The technique is based on an intuitively very simple notion, that of a (set of) tests "covering" the type of a set of variables. We show that the problem of determining a covering is undecidable in general, and give decidability and complexity results for the Herbrand and linear arithmetic constraint systems. We give sound algorithms for determining covering that are precise and efiicient in practice. Based on this information, we show how to identify goals and procedures that can be guaranteed to not fail at runtime. Applications of such non-failure information include programming error detection, program transiormations and parallel execution optimization, avoiding speculative parallelism and estimating lower bounds on the computational costs of goals, which can be used for granularity control. Finally, we report on an implementation of our method and show that better results are obtained than with previously proposed approaches.
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Las organizaciones son sistemas o unidades sociales, compuestas por personas que interactúan entre sí, para lograr objetivos comunes. Uno de sus objetivos es la productividad. La productividad es un constructo multidimensional en la que influyen aspectos tecnológicos, económicos, organizacionales y humanos. Diversos estudios apoyan la influencia de la motivación de las personas, de las habilidades y destrezas de los individuos, de su talento para desempeñar el trabajo, así como también del ambiente de trabajo presente en la organización, en la productividad. Por esta razón, el objetivo general de la investigación, es analizar la influencia entre los factores humanos y la productividad. Se hará énfasis en la persona como factor productivo clave, para responder a las interrogantes de la investigación, referidas a cuáles son las variables humanas que inciden en la productividad, a la posibilidad de plantear un modelo de productividad que considere el impacto del factor humano y la posibilidad de encontrar un método para la medición de la productividad que contemple la percepción del factor humano. Para resolver estas interrogantes, en esta investigación se busca establecer las relaciones entre las variables humanas y la productividad, vistas desde la perspectiva de tres unidades de análisis diferentes: individuo, grupo y organización, para la formulación de un modelo de productividad humana y el diseño de un instrumento para su medida. Una de las principales fuente de investigación para la elección de las variables humanas, la formulación del modelo, y el método de medición de la productividad, fue la revisión de la literatura disponible sobre la productividad y el factor humano en las organizaciones, lo que facilitó el trazado del marco teórico y conceptual. Otra de las fuentes para la selección fue la opinión de expertos y de especialistas directamente involucrados en el sector eléctrico venezolano, lo cual facilitó la obtención de un modelo, cuyas variables reflejasen la realidad del ámbito en estudio. Para aportar una interpretación explicativa del fenómeno, se planteó el modelo de los Factores Humanos vs Productividad (MFHP), el cual se analizó desde la perspectiva del análisis causal y fue conformado por tres variables latentes exógenas denominadas: factores individuales, factores grupales y factores organizacionales, que estaban relacionadas con una variable latente endógena denominada productividad. El MFHP se formuló mediante la metodología de los modelos de ecuaciones estructurales (SEM). Las relaciones inicialmente propuestas entre las variables latentes fueron corroboradas por los ajustes globales del modelo, se constataron las relaciones entre las variables latentes planteadas y sus indicadores asociados, lo que facilitó el enunciado de 26 hipótesis, de las cuales se comprobaron 24. El modelo fue validado mediante la estrategia de modelos rivales, utilizada para comparar varios modelos SEM, y seleccionar el de mejor ajuste, con sustento teórico. La aceptación del modelo se realizó mediante la evaluación conjunta de los índices de bondad de ajuste globales. Asimismo, para la elaboración del instrumento de medida de la productividad (IMPH), se realizó un análisis factorial exploratorio previo a la aplicación del análisis factorial confirmatorio, aplicando SEM. La revisión de los conceptos de productividad, la incidencia del factor humano, y sus métodos de medición, condujeron al planteamiento de métodos subjetivos que incorporaron la percepción de los principales actores del proceso productivo, tanto para la selección de las variables, como para la formulación de un modelo de productividad y el diseño de un instrumento de medición de la productividad. La contribución metodológica de este trabajo de investigación, ha sido el empleo de los SEM para relacionar variables que tienen que ver con el comportamiento humano en la organización y la productividad, lo cual abre nuevas posibilidades a la investigación en este ámbito. Organizations are social systems or units composed of people who interact with each other to achieve common goals. One objective is productivity, which is a multidimensional construct influenced by technological, economic, organizational and human aspects. Several studies support the influence on productivity of personal motivation, of the skills and abilities of individuals, of their talent for the job, as well as of the work environment present in the organization. Therefore, the overall objective of this research is to analyze the influence between human factors and productivity. The emphasis is on the individual as a productive factor which is key in order to answer the research questions concerning the human variables that affect productivity and to address the ability to propose a productivity model that considers the impact of the human factor and the possibility of finding a method for the measurement of productivity that includes the perception of the human factor. To consider these questions, this research seeks to establish the relationships between human and productivity variables, as seen from the perspective of three different units of analysis: the individual, the group and the organization, in order to formulate a model of human productivity and to design an instrument for its measurement. A major source of research for choosing the human variables, model formulation, and method of measuring productivity, was the review of the available literature on productivity and the human factor in organizations which facilitated the design of the theoretical and conceptual framework. Another source for the selection was the opinion of experts and specialists directly involved in the Venezuelan electricity sector which facilitated obtaining a model whose variables reflect the reality of the area under study. To provide an interpretation explaining the phenomenon, the model of the Human Factors vs. Productivity Model (HFPM) was proposed. This model has been analyzed from the perspective of causal analysis and was composed of three latent exogenous variables denominated: individual, group and organizational factors which are related to a latent variable denominated endogenous productivity. The HFPM was formulated using the methodology of Structural Equation Modeling (SEM). The initially proposed relationships between latent variables were confirmed by the global fits of the model, the relationships between the latent variables and their associated indicators enable the statement of 26 hypotheses, of which 24 were confirmed. The model was validated using the strategy of rival models, used for comparing various SEM models and to select the one that provides the best fit, with theoretical support. The acceptance of the model was performed through the joint evaluation of the adequacy of global fit indices. Additionally, for the development of an instrument to measure productivity, an exploratory factor analysis was performed prior to the application of a confirmatory factor analysis, using SEM. The review of the concepts of productivity, the impact of the human factor, and the measurement methods led to a subjective methods approach that incorporated the perception of the main actors of the production process, both for the selection of variables and for the formulation of a productivity model and the design of an instrument to measure productivity. The methodological contribution of this research has been the use of SEM to relate variables that have to do with human behavior in the organization and with productivity, opening new possibilities for research in this area.
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El alcance de este proyecto consiste en elaborar el plan anual teórico de una compañía distribuidora de productos petrolíferos, que tiene como objetivo mantener los niveles de cuota en el mercado nacional de carburantes de estaciones de servicio, evaluando las rentabilidades conseguidas. El mercado de carburantes de automoción esta reduciéndose de forma importante desde el comienzo de la crisis, por lo que es necesario realizar un análisis profundo de ingresos (ventas y márgenes) y costes (fijos y variables), así como de las inversiones a realizar. Se deduce del estudio que la rentabilidad de la compañía es relativamente alta pero viene dada por un gran número de variables, internas y externas a la propia compañía. En definitiva, el negocio de las estaciones de servicio se basa en un producto con muy bajo margen e impuestos muy altos y es por ello que la competencia a nivel de precios esta muy limitada. Además y dado el nivel de inversiones y costes es necesario un volumen de ventas alto para poder conseguir superar el punto de equilibrio económico. ABSTRACT The scope of this project is to develop the theoretical annual plan of an oil products distribution company, which aims to maintain the levels of market share in the service stations market, assessing the returns achieved. The motor fuels market is decreasing significantly since the beginning of the crisis, making it necessary to conduct a thorough analysis of revenue (sales and margins) and costs (fixed and variable), as well as investments to be made . It follows from the study that the company's profitability is relatively high but is given by a large number of variables, internals and externals to the company. In short, the service stations business is based on a product with very low margin and that is the reason that the price competition level is very limited. Moreover, given the level of investments and costs is necessary to sale a high volume in order to get beyond the break even.
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Se explica las posibles razones que han obligado a varias de las plantas de biodiésel en España a cerrar a pesar de estar siendo auspiciadas por la Unión Europea y fomentadas, mediante normativas específicas y ayudas sustanciales en cada uno de los países miembros, a fin de reforzar la utilización de los biocarburantes, como energía alternativa a los combustibles fósiles, debido a las ventajas medioambientales y sociopolíticas que conllevan. Para ello se ha empezado realizando un estudio del sector y de su funcionamiento así como de la evolución reciente del mercado tanto en Europa como en España. Posteriormente se ha modelizado una planta de biodiesel tipo desde las primeras fases de su construcción hasta su puesta en funcionamiento, para, a continuación analizar su desarrollo haciendo especial hincapié en la evolución de las principales variables económicas anteriormente estudiadas que han llevado finalmente a tener que cerrarla por falta de rentabilidad. El proceso de producción del biodiésel desde aceites vegetales y grasas animales mantiene un fuerte crecimiento en los mercados de la Unión Europea al igual que en Estados Unidos y Canadá. La producción de biodiésel se ha incrementado rápidamente en los últimos años, ya que es una alternativa renovable a los carburantes, como el petróleo o el diésel. La producción por trasesterificación de aceites vegetales y grasas animales, dan al biodiésel una densidad, un punto de encendido, viscosidad, estabilidad a la oxidación similares al diésel. Estas propiedades permiten a la mezcla de biodiésel poder usarlo en motores convencionales sin necesidad de grandes modificaciones. El objetivo fundamental de este proyecto es, dentro de un entorno económico hostil, explicar el posible porqué de la situación de las plantas de biodiésel en España, haciendo un análisis de la viabilidad económico – financiera de una planta de producción de biodiésel. La instalación de la que parte el presente proyecto es la de una planta, situada en la provincia de Jaén, con una capacidad de producción de 100 000 t/año, con una previsión de funcionamiento continua y con una vida útil estimada de 15 años. Una vez finalizado el estudio económico, se ha valorado el impacto del mercado en el funcionamiento de la planta, tanto a nivel internacional debido a la competencia desleal, como nacional, debido a las ayudas en los cultivos. Se deduce que la rentabilidad de una planta de biodiésel es relativamente positiva pero viene dada por un gran número de variables internas y externas que hacen un negocio inestable y poco rentable. ABSTRACT It explains the possible reasons that have forced several biodiesel plants in Spain to close in spite of being sponsored by the European Union and promoted by specific regulations and substantial aid in each of the member countries to strengthen the use of biofuels as alternative energy to fossil fuels because of the environmental and sociopolitical involving VII For this we have begun a study of the sector and its operation as well as the recent market developments in Europe and in Spain. Later was modeled biodiesel plant type from the early stages of construction to commissioning, to then analyze its development with particular emphasis on the evolution of the main economic variables that have been previously studied eventually have to close by unprofitability. The processes and production of biodiesel (methyl ester) from vegetable oil and animal fat feedstocks remain a strong growth market in the European Union as well as the United States and Canada. Biodiesel production has increased rapidly in this last years as producers sought a renewable alternative to petroleum fuel. Produced by the trans-esterification of vegetable oils and animal fats, biodiesel has similar density, flash point, viscosity, oxidation stability to petroleum diesel. These similarities enable biodiesel blends to be used in conventional diesel engines without significant modifications. This proyect gives an overview of current developments with regard to biodiesel technology, the Spain biofuel market, and national biofuel policies, looking at closely the economic-financial feasibility of a biodiesel production plant. The installation, situated at Linares (Jaén), has a production capability of 100 000 t/year. The operation estimated is constant and with a product life of 15 years. Finished the part destined to the economic view of this project, it has been considered the adverse effects on the overall performance and the financial situation of the industry. It follows form the study that biodiesel plant´s profitability is relatively high, but it is given by a large numbers of variables, internals and externals, which have made an unviable and unsustainable business.
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This paper presents the implementation of an adaptive philosophy to plane potential problems, using the direct boundary element method. After some considerations about the state of the art and a discussion of the standard approach features, the possibility of separately treating the modelling of variables and their interpolation through hierarchical shape functions is analysed. Then the proposed indicators and estimators are given, followed by a description of a small computer program written for an IBM PC. Finally, some examples show the kind of results to be expected.
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In this paper, we present calculations of the absorption coefficient for transitions between the bound states of quantum dots grown within a semiconductor and the extended states of the conduction band. For completeness, transitions among bound states are also presented. In the separation of variables, single band k·p model is used in which most elements may be expressed analytically. The analytical formulae are collected in the appendix of this paper. It is concluded that the transitions are strong enough to provide a quick path to the conduction band for electrons pumped from the valence to the intermediate band