966 resultados para Abstraction Hierarchy
Resumo:
Worldwide water managers are increasingly challenged to allocate sufficient and affordable water supplies to different water use sectors without further degrading river ecosystems and their valuable services to mankind. Since 1950 human population almost tripled, water abstractions increased by a factor of four, and the number of large dam constructions is about eight times higher today. From a hydrological perspective, the alteration of river flows (temporally and spatially) is one of the main consequences of global change and further impairments can be expected given growing population pressure and projected climate change. Implications have been addressed in numerous hydrological studies, but with a clear focus on human water demands. Ecological water requirements have often been neglected or addressed in a very simplistic manner, particularly from the large-scale perspective. With his PhD thesis, Christof Schneider took up the challenge to assess direct (dam operation and water abstraction) and indirect (climate change) impacts of human activities on river flow regimes and evaluate the consequences for river ecosystems by using a modeling approach. The global hydrology model WaterGAP3 (developed at CESR) was applied and further developed within this thesis to carry out several model experiments and assess anthropogenic river flow regime modifications and their effects on river ecosystems. To address the complexity of ecological water requirements the assessment is based on three main ideas: (i) the natural flow paradigm, (ii) the perception that different flows have different ecological functions, and (iii) the flood pulse concept. The thesis shows that WaterGAP3 performs well in representing ecologically relevant flow characteristics on a daily time step, and therefore justifies its application within this research field. For the first time a methodology was established to estimate bankfull flow on a 5 by 5 arc minute grid cell raster globally, which is a key parameter in eFlow assessments as it marks the point where rivers hydraulically connect to adjacent floodplains. Management of dams and water consumption pose a risk to floodplains and riparian wetlands as flood volumes are significantly reduced. The thesis highlights that almost one-third of 93 selected Ramsar sites are seriously affected by modified inundation patterns today, and in the future, inundation patterns are very likely to be further impaired as a result of new major dam initiatives and climate change. Global warming has been identified as a major threat to river flow regimes as rising temperatures, declining snow cover, changing precipitation patterns and increasing climate variability are expected to seriously modify river flow regimes in the future. Flow regimes in all climate zones will be affected, in particular the polar zone (Northern Scandinavia) with higher river flows during the year and higher flood peaks in spring. On the other side, river flows in the Mediterranean are likely to be even more intermittent in the future because of strong reductions in mean summer precipitation as well as a decrease in winter precipitation, leading to an increasing number of zero flow events creating isolated pools along the river and transitions from lotic to lentic waters. As a result, strong impacts on river ecosystem integrity can be expected. Already today, large amounts of water are withdrawn in this region for agricultural irrigation and climate change is likely to exacerbate the current situation of water shortages.
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This thesis describes the development of a model-based vision system that exploits hierarchies of both object structure and object scale. The focus of the research is to use these hierarchies to achieve robust recognition based on effective organization and indexing schemes for model libraries. The goal of the system is to recognize parameterized instances of non-rigid model objects contained in a large knowledge base despite the presence of noise and occlusion. Robustness is achieved by developing a system that can recognize viewed objects that are scaled or mirror-image instances of the known models or that contain components sub-parts with different relative scaling, rotation, or translation than in models. The approach taken in this thesis is to develop an object shape representation that incorporates a component sub-part hierarchy- to allow for efficient and correct indexing into an automatically generated model library as well as for relative parameterization among sub-parts, and a scale hierarchy- to allow for a general to specific recognition procedure. After analysis of the issues and inherent tradeoffs in the recognition process, a system is implemented using a representation based on significant contour curvature changes and a recognition engine based on geometric constraints of feature properties. Examples of the system's performance are given, followed by an analysis of the results. In conclusion, the system's benefits and limitations are presented.
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Fine-grained parallel machines have the potential for very high speed computation. To program massively-concurrent MIMD machines, programmers need tools for managing complexity. These tools should not restrict program concurrency. Concurrent Aggregates (CA) provides multiple-access data abstraction tools, Aggregates, which can be used to implement abstractions with virtually unlimited potential for concurrency. Such tools allow programmers to modularize programs without reducing concurrency. I describe the design, motivation, implementation and evaluation of Concurrent Aggregates. CA has been used to construct a number of application programs. Multi-access data abstractions are found to be useful in constructing highly concurrent programs.
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As the number of processors in distributed-memory multiprocessors grows, efficiently supporting a shared-memory programming model becomes difficult. We have designed the Protocol for Hierarchical Directories (PHD) to allow shared-memory support for systems containing massive numbers of processors. PHD eliminates bandwidth problems by using a scalable network, decreases hot-spots by not relying on a single point to distribute blocks, and uses a scalable amount of space for its directories. PHD provides a shared-memory model by synthesizing a global shared memory from the local memories of processors. PHD supports sequentially consistent read, write, and test- and-set operations. This thesis also introduces a method of describing locality for hierarchical protocols and employs this method in the derivation of an abstract model of the protocol behavior. An embedded model, based on the work of Johnson[ISCA19], describes the protocol behavior when mapped to a k-ary n-cube. The thesis uses these two models to study the average height in the hierarchy that operations reach, the longest path messages travel, the number of messages that operations generate, the inter-transaction issue time, and the protocol overhead for different locality parameters, degrees of multithreading, and machine sizes. We determine that multithreading is only useful for approximately two to four threads; any additional interleaving does not decrease the overall latency. For small machines and high locality applications, this limitation is due mainly to the length of the running threads. For large machines with medium to low locality, this limitation is due mainly to the protocol overhead being too large. Our study using the embedded model shows that in situations where the run length between references to shared memory is at least an order of magnitude longer than the time to process a single state transition in the protocol, applications exhibit good performance. If separate controllers for processing protocol requests are included, the protocol scales to 32k processor machines as long as the application exhibits hierarchical locality: at least 22% of the global references must be able to be satisfied locally; at most 35% of the global references are allowed to reach the top level of the hierarchy.
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A difficulty in the design of automated text summarization algorithms is in the objective evaluation. Viewing summarization as a tradeoff between length and information content, we introduce a technique based on a hierarchy of classifiers to rank, through model selection, different summarization methods. This summary evaluation technique allows for broader comparison of summarization methods than the traditional techniques of summary evaluation. We present an empirical study of two simple, albeit widely used, summarization methods that shows the different usages of this automated task-based evaluation system and confirms the results obtained with human-based evaluation methods over smaller corpora.
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We present a trainable system for detecting frontal and near-frontal views of faces in still gray images using Support Vector Machines (SVMs). We first consider the problem of detecting the whole face pattern by a single SVM classifer. In this context we compare different types of image features, present and evaluate a new method for reducing the number of features and discuss practical issues concerning the parameterization of SVMs and the selection of training data. The second part of the paper describes a component-based method for face detection consisting of a two-level hierarchy of SVM classifers. On the first level, component classifers independently detect components of a face, such as the eyes, the nose, and the mouth. On the second level, a single classifer checks if the geometrical configuration of the detected components in the image matches a geometrical model of a face.
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Traditionally, we've focussed on the question of how to make a system easy to code the first time, or perhaps on how to ease the system's continued evolution. But if we look at life cycle costs, then we must conclude that the important question is how to make a system easy to operate. To do this we need to make it easy for the operators to see what's going on and to then manipulate the system so that it does what it is supposed to. This is a radically different criterion for success. What makes a computer system visible and controllable? This is a difficult question, but it's clear that today's modern operating systems with nearly 50 million source lines of code are neither. Strikingly, the MIT Lisp Machine and its commercial successors provided almost the same functionality as today's mainstream sytsems, but with only 1 Million lines of code. This paper is a retrospective examination of the features of the Lisp Machine hardware and software system. Our key claim is that by building the Object Abstraction into the lowest tiers of the system, great synergy and clarity were obtained. It is our hope that this is a lesson that can impact tomorrow's designs. We also speculate on how the spirit of the Lisp Machine could be extended to include a comprehensive access control model and how new layers of abstraction could further enrich this model.
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This paper sets out to identify the initial positions of the different decision makers who intervene in a group decision making process with a reduced number of actors, and to establish possible consensus paths between these actors. As a methodological support, it employs one of the most widely-known multicriteria decision techniques, namely, the Analytic Hierarchy Process (AHP). Assuming that the judgements elicited by the decision makers follow the so-called multiplicative model (Crawford and Williams, 1985; Altuzarra et al., 1997; Laininen and Hämäläinen, 2003) with log-normal errors and unknown variance, a Bayesian approach is used in the estimation of the relative priorities of the alternatives being compared. These priorities, estimated by way of the median of the posterior distribution and normalised in a distributive manner (priorities add up to one), are a clear example of compositional data that will be used in the search for consensus between the actors involved in the resolution of the problem through the use of Multidimensional Scaling tools
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This paper presents a procedure that allows us to determine the preference structures (PS) associated to each of the different groups of actors that can be identified in a group decision making problem with a large number of individuals. To that end, it makes use of the Analytic Hierarchy Process (AHP) (Saaty, 1980) as the technique to solve discrete multicriteria decision making problems. This technique permits the resolution of multicriteria, multienvironment and multiactor problems in which subjective aspects and uncertainty have been incorporated into the model, constructing ratio scales corresponding to the priorities relative to the elements being compared, normalised in a distributive manner (wi = 1). On the basis of the individuals’ priorities we identify different clusters for the decision makers and, for each of these, the associated preference structure using, to that end, tools analogous to those of Multidimensional Scaling. The resulting PS will be employed to extract knowledge for the subsequent negotiation processes and, should it be necessary, to determine the relative importance of the alternatives being compared using anyone of the existing procedures
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Expert supervision systems are software applications specially designed to automate process monitoring. The goal is to reduce the dependency on human operators to assure the correct operation of a process including faulty situations. Construction of this kind of application involves an important task of design and development in order to represent and to manipulate process data and behaviour at different degrees of abstraction for interfacing with data acquisition systems connected to the process. This is an open problem that becomes more complex with the number of variables, parameters and relations to account for the complexity of the process. Multiple specialised modules tuned to solve simpler tasks that operate under a co-ordination provide a solution. A modular architecture based on concepts of software agents, taking advantage of the integration of diverse knowledge-based techniques, is proposed for this purpose. The components (software agents, communication mechanisms and perception/action mechanisms) are based on ICa (Intelligent Control architecture), software middleware supporting the build-up of applications with software agent features
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Por medio del estudio realizado a los diferentes enfoques y estudios hechos hacia el área de recursos humanos y cultura (organizacional y nacional) se han logrado identificar ciertos procesos y características que pueden ser implementados en el modelo de integración de operaciones de Call Center de Mapfre. Partiendo de la cultura organizacional pasando por la cultura nacional y sabiendo como ingresar y ser aceptado en una cultura internacional. Características y procesos totalmente opuestos desde su implementación pasando por sus costos y su posterior gestión; debido al choque cultural y la forma de gestión planteada por la organización basado en su modelo estructural de jerarquización y centralización de toma de decisiones. Queriendo lograr con éste trabajo generar un proyecto de unificación de un sector operativo dirigido hacia servicio al cliente y de la misma manera servir como un ejemplo a demás organizaciones nacionales o multinacionales con el objetivo de aumentar la eficiencia de su administración y la eficiencia de su estructura de costos siempre enfocado a un bien último que es el servicio al cliente.
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Esta tesis producto del trabajo de investigación se planteo sobre las bases de un derecho administrativo interno creado para resolver los problemas suscitados al interior del Estado en consonancia con los postulados constitucionales, teniendo en cuenta el artículo 4° en que se establece la supremacía de la Constitución y los artículo 9°, 93, 94 y 224 al 227 que ordenan el desarrollo del derecho de integración en el marco de los países Latinoamericanos y del Caribe, por lo que surge la imperiosa necesidad de armonizar el derecho de la integración con el ordenamiento jurídico nacional y en especial con el derecho administrativo quien deberá recepcionar el mencionado ordenamiento supraestatal, alterando las tradicionales concepciones de las fuentes de este derecho interno. Por lo tanto, desde la perspectiva del derecho administrativo comprendido como un derecho legislado que regula las relaciones entre el Estado y los particulares en el que prevalece el “principio de legalidad” de los actos administrativos, se puede intuir que constituye un problema jurídico los impactos derivados de los tratados de integración, donde nos preguntamos sí las categorías de fuentes actuales del derecho administrativo son las adecuadas para abordar la recepción de estas disposiciones Por lo que al explorara las incidencias en el derecho administrativo con ocasión de la recepción del derecho de integración con particular énfasis en la Comunidad Andina, identificamos que uno de los rasgos más distintivos del ordenamiento jurídico andino, como el de otros esquemas de integración, proviene del discutido concepto de supranacionalidad. Dentro de la teoría jurídica contemporánea la comprensión de este término trae una novísima concepción que al mismo tiempo es respetuosa de la soberanía interna de los Estados miembros, la cual permite el surgimiento del nuevo ente común donde es posible la distribución de competencias en la reglamentación de ciertos ámbitos entre autoridades multilaterales y nacionales, conservando su propia autonomía. Este concepto ha permitido que en el ordenamiento comunitario andino, a semejanza de lo que acontece en el derecho interno de los Estados, exista un sistema de control de las normas jurídicas garantizado por una jurisdicción contenciosa-administrativa ejercida a través del Tribunal de Justicia de la Comunidad Andina. Lo que en definitiva incide en el derecho administrativo interno al encontramos frente a ordenamientos independientes, como lo son los del derecho de integración, en los que se producen, aplican y ejecutan normas según las reglas de juego adoptadas para ese efecto por los Estados miembros, que dependerán del marco del proceso de integración y su armonización con las normas internas. Es por ello, que en el resultado final de esta tesis se constata la aparición de nuevas fuentes de legalidad, donde ya no sólo se contemplará la ley y la jurisprudencia, ésta última posicionada con el devenir del tiempo debido a su pertinencia, como lo podemos contrastar con la expedición del Nuevo Código de Procedimiento Contencioso Administrativo (L. 1437/11) que aún no ha entrado en vigencia, en donde se resalta la importancia del Precedente Judicial a partir de las sentencias de unificación del Consejo de Estado. Pero más allá, de este nuevo reconocimiento legislativo, el sistema de fuentes establecido se verá alterado en su jerarquía con el derecho que nace con ocasión de los tratados de integración, lo que aún no se refleja en este nuevo Código, el cual no prevé la aplicación de las nuevas fuentes de legalidad.
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Este trabajo de grado es una aproximación a la Diplomacia Cultural como un instrumento político retomado por Luis Inácio Lula Da Silva, del cual Brasil se sirve para ganar un espacio en el Sistema Internacional, ascender en la jerarquización de los Estados y posicionarse como una Potencia Emergente. Del conjunto de elementos que componen la Diplomacia Cultural y otros factores típicos como la economía, este país Latinoamericano se convierte en un jugador global.
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Esta investigación cualitativa-cuantitativa tiene como objetivo explorar las potencialidades terapéuticas del Juego de Rol, las cuales no han sido objeto de estudio. Se realizó con cinco estudiantes de colegio y cuatro de universidad, aplicándoles las escalas 16PF, SASS, ocho sesiones de juego de rol (Dungeons and dragons) y Grupos de Discusión. Se concluyó que no hay diferencia entre la adaptación pre y post. Los estudiantes de Colegio tienen características de personalidad similares en escala de Autosuficiencia, Apertura al Cambio y Aprensión, los universitarios en Atrevimiento, Vigilancia, Abstracción y Aprensión y dimensión global de Ansiedad. El Juego de Rol mejora las relaciones interpersonales dentro y fuera del grupo de juego, la expresión de sentimientos repercute fuera del Juego, la principal diferencia entre la experiencia de juego y la Vida Real es la libertad para romper las normas sociales. El trabajo en Equipo es una enseñanza primordial, contribuye a la toma de decisiones, proyección como mecanismo de defensa, capacidad Imaginativa inherente, desarrollo de la empatía, socialización, potenciación de habilidades no explotadas, encuentro de intereses, toma de conciencia, responsabilidad y sublimación de aspectos reprimidos de la personalidad.
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El sueño, es indispensable para la recuperación, física, mental y de procesos como la consolidación de memoria, atención y lenguaje. La privación de sueño (PS) incide en la atención y concentración. La PS es inherente a la formación médica, pero no es claro el papel de los turnos nocturnos en estudiantes, porque no cumplen con un objetivo académico, pero hay relación con disminución de la salud, productividad, accidentes, y alteraciones en diversas actividades. Está descrito el impacto de la PS sobre la capacidad de aprendizaje y aspectos como el ánimo y las relaciones interpersonales. MÉTODOS: Se realizó un estudio analítico observacional de cohorte longitudinal, con tres etapas de medición a 180 estudiantes de Medicina de la Universidad del Rosario, que evaluó atención selectiva y concentración mediante la aplicación de la prueba d2, validada internacionalmente para tal fin. RESULTADOS: Se estudiaron 180 estudiantes, 115 mujeres, 65 hombres, entre los 18 y 26 años (promedio 21). Al inicio del estudio dormían en promedio 7,9 horas, cifra que se redujo a 5,8 y 6,3 en la segunda y tercera etapa respectivamente. El promedio de horas de sueño nocturno, disminuyó en el segundo y tercer momento (p<0,001); Además se encontró mediante la aplicación de la prueba d2, que hubo correlación significativa directa débil, entre el promedio de horas de sueño, y el promedio del desempeño en la prueba (r=0.168, p=0.029) CONCLUSIONES: La PS, con períodos de sueño menores a 7,2 horas, impactan de manera importante la atención selectiva, la concentración