68 resultados para Shaker architecture--Maine--Alfred--Maps.


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In this paper, an advanced technique for the generation of deformation maps using synthetic aperture radar (SAR) data is presented. The algorithm estimates the linear and nonlinear components of the displacement, the error of the digital elevation model (DEM) used to cancel the topographic terms, and the atmospheric artifacts from a reduced set of low spatial resolution interferograms. The pixel candidates are selected from those presenting a good coherence level in the whole set of interferograms and the resulting nonuniform mesh tessellated with the Delauney triangulation to establish connections among them. The linear component of movement and DEM error are estimated adjusting a linear model to the data only on the connections. Later on, this information, once unwrapped to retrieve the absolute values, is used to calculate the nonlinear component of movement and atmospheric artifacts with alternate filtering techniques in both the temporal and spatial domains. The method presents high flexibility with respect to the required number of images and the baselines length. However, better results are obtained with large datasets of short baseline interferograms. The technique has been tested with European Remote Sensing SAR data from an area of Catalonia (Spain) and validated with on-field precise leveling measurements.

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A partir de maig de 2003, per iniciativa del Vicerectorat adjunt d’Edificacions de la UPC, el Centre Interdisciplinari de Tecnologia, Innovació i Educació per a la Sostenibilitat (CITIES) treballa en l’elaboració i la implantació del Pla d’Eficiència en el Consum de Recursos (PECR), amb l’objectiu d’establir polítiques i definir línees d’actuació per a l’estalvi i l’eficiència en el consum dels recursos energètics i d’ aigua en els edificis de la UPC.El PECR contempla, en una de les primeres fases, la realització d’avaluacions energètiques en les edificacions de la UPC per valorar l’estat actual dels edificis i poder establir uns indicadors del seu comportament energètic a partir dels quals establir els objectius d’estalvi i d’eficiència. Per fer aquestes avaluacions, es va crear una línea de projectes finals de carrera (PFC) per a estudiants de l’Escola Politècnica Superior de l’Edificació de Barcelona (EPSEB), sota la coordinació de professors tutors de diferents departaments y amb la col•laboració indispensable de totes les unitats de recolzament de la UPC.Aquesta publicació és la ponència presentada al IV Congrès "Sustainable City", a Tallinn, en el que es va presentar aquest projecte com a una eina de treball amb l'objectiu de reduir l'impacte ambiental dels edificis universitaris en les ciutats.

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An Unmanned Aerial Vehicle is a non-piloted airplane designed to operate in dangerous and repetitive situations. With the advent of UAV's civil applications, UAVs are emerging as a valid option in commercial scenarios. If it must be economically viable, the same platform should implement avariety of missions with little reconguration time and overhead.This paper presents a middleware-based architecture specially suited to operate as a exible payload and mission controller in a UAV. The system is composed of low-costcomputing devices connected by network. The functionality is divided into reusable services distributed over a number ofnodes with a middleware managing their lifecycle and communication.Some research has been done in this area; yetit is mainly focused on the control domain and in its realtime operation. Our proposal differs in that we address the implementation of adaptable and reconfigurable unmannedmissions in low-cost and low-resources hardware.

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The widespread implementation of GIS-based 3D topographical models has been a great aid in the development and testing of archaeological hypotheses. In this paper, a topographical reconstruction of the ancient city of Tarraco, the Roman capital of the Tarraconensis province, is presented. This model is based on topographical data obtained through archaeological excavations, old photographic documentation, georeferenced archive maps depicting the pre-modern city topography, modern detailed topographical maps and differential GPS measurements. The addition of the Roman urban architectural features to the model offers the possibility to test hypotheses concerning the ideological background manifested in the city shape. This is accomplished mainly through the use of 3D views from the main city accesses. These techniques ultimately demonstrate the ‘theatre-shaped’ layout of the city (to quote Vitrubius) as well as its southwest oriented architecture, whose monumental character was conceived to present a striking aspect to visitors, particularly those arriving from the sea.

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This paper is concerned with the organization of societies in north-eastern Iberia (present-day Catalonia) during the Iron Age, using data provided by domestic architecture and settlement organization. I offer an analysis of the social differences detected in the dwellings based on a sample of houses excavated at different types of settlement. Although many Iberian houses had simple layouts and small surface areas, some larger dwellings at the main sites are distinguished by the shape of their ground plans, their surface areas, architectural features, and central locations; these houses are believed to be the residences of the Iberian elite. Such dwellings are not found at all sites and the data suggest that there was a relationship between the category of the settlement (or its function) and the types of dwelling in it.

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Dissolved organic matter (DOM) is a complex mixture of organic compounds, ubiquitous in marine and freshwater systems. Fluorescence spectroscopy, by means of Excitation-Emission Matrices (EEM), has become an indispensable tool to study DOM sources, transport and fate in aquatic ecosystems. However the statistical treatment of large and heterogeneous EEM data sets still represents an important challenge for biogeochemists. Recently, Self-Organising Maps (SOM) has been proposed as a tool to explore patterns in large EEM data sets. SOM is a pattern recognition method which clusterizes and reduces the dimensionality of input EEMs without relying on any assumption about the data structure. In this paper, we show how SOM, coupled with a correlation analysis of the component planes, can be used both to explore patterns among samples, as well as to identify individual fluorescence components. We analysed a large and heterogeneous EEM data set, including samples from a river catchment collected under a range of hydrological conditions, along a 60-km downstream gradient, and under the influence of different degrees of anthropogenic impact. According to our results, chemical industry effluents appeared to have unique and distinctive spectral characteristics. On the other hand, river samples collected under flash flood conditions showed homogeneous EEM shapes. The correlation analysis of the component planes suggested the presence of four fluorescence components, consistent with DOM components previously described in the literature. A remarkable strength of this methodology was that outlier samples appeared naturally integrated in the analysis. We conclude that SOM coupled with a correlation analysis procedure is a promising tool for studying large and heterogeneous EEM data sets.

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L'objectiu és desenvolupar i avaluar una sèrie de components de l'arquitectura de la informació per a la web semàntica. Aquest components són genèrics i permeten als usuaris explorar conjunts de dades semàntiques sense necessitat de conèixer l'estructura ni tenir coneixements tècnics. S'ha desenvolupat seguint una metodologia de disseny centrat en l'usuari

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This project proposes a preliminary architectural design for a control and data processing center, also known as 'ground segment', for Earth observation satellites.

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Zonal management in vineyards requires the prior delineation of stable yield zones within the parcel. Among the different methodologies used for zone delineation, cluster analysis of yield data from several years is one of the possibilities cited in scientific literature. However, there exist reasonable doubts concerning the cluster algorithm to be used and the number of zones that have to be delineated within a field. In this paper two different cluster algorithms have been compared (k-means and fuzzy c-means) using the grape yield data corresponding to three successive years (2002, 2003 and 2004), for a ‘Pinot Noir’ vineyard parcel. Final choice of the most recommendable algorithm has been linked to obtaining a stable pattern of spatial yield distribution and to allowing for the delineation of compact and average sized areas. The general recommendation is to use reclassified maps of two clusters or yield classes (low yield zone and high yield zone) and, consequently, the site-specific vineyard management should be based on the prior delineation of just two different zones or sub-parcels. The two tested algorithms are good options for this purpose. However, the fuzzy c-means algorithm allows for a better zoning of the parcel, forming more compact areas and with more equilibrated zonal differences over time.

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The control of the right application of medical protocols is a key issue in hospital environments. For the automated monitoring of medical protocols, we need a domain-independent language for their representation and a fully, or semi, autonomous system that understands the protocols and supervises their application. In this paper we describe a specification language and a multi-agent system architecture for monitoring medical protocols. We model medical services in hospital environments as specialized domain agents and interpret a medical protocol as a negotiation process between agents. A medical service can be involved in multiple medical protocols, and so specialized domain agents are independent of negotiation processes and autonomous system agents perform monitoring tasks. We present the detailed architecture of the system agents and of an important domain agent, the database broker agent, that is responsible of obtaining relevant information about the clinical history of patients. We also describe how we tackle the problems of privacy, integrity and authentication during the process of exchanging information between agents.

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This paper deals with the relationship between the periodic orbits of continuous maps on graphs and the topological entropy of the map. We show that the topological entropy of a graph map can be approximated by the entropy of its periodic orbits.

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In two previous papers [J. Differential Equations, 228 (2006), pp. 530 579; Discrete Contin. Dyn. Syst. Ser. B, 6 (2006), pp. 1261 1300] we have developed fast algorithms for the computations of invariant tori in quasi‐periodic systems and developed theorems that assess their accuracy. In this paper, we study the results of implementing these algorithms and study their performance in actual implementations. More importantly, we note that, due to the speed of the algorithms and the theoretical developments about their reliability, we can compute with confidence invariant objects close to the breakdown of their hyperbolicity properties. This allows us to identify a mechanism of loss of hyperbolicity and measure some of its quantitative regularities. We find that some systems lose hyperbolicity because the stable and unstable bundles approach each other but the Lyapunov multipliers remain away from 1. We find empirically that, close to the breakdown, the distances between the invariant bundles and the Lyapunov multipliers which are natural measures of hyperbolicity depend on the parameters, with power laws with universal exponents. We also observe that, even if the rigorous justifications in [J. Differential Equations, 228 (2006), pp. 530-579] are developed only for hyperbolic tori, the algorithms work also for elliptic tori in Hamiltonian systems. We can continue these tori and also compute some bifurcations at resonance which may lead to the existence of hyperbolic tori with nonorientable bundles. We compute manifolds tangent to nonorientable bundles.

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Las relaciones entre actos festivos y espacios arquitectónicos, y las modalidades con que las ceremonias cortesanas llegaban a modificar los centros urbanos y las residen- cias palaciegas, han sido los temas principales del congreso internacional Making Space for Festival, 14001700. Interactions of Architecture and Performance in Late Medieval and Early Modern Festivals, que tuvo lugar del 21 al 24 de marzo de 2013 en el Palacio Pesaro-Papafava de Venecia, residencia de la Universidad de Warwick en la Laguna. La Society for European Festivals Research (SEFR), entidad vinculada a esta universidad, ha promovido el encuentro junto con la Red PALATIUM financia- da por el Research Networking Programme de la European Science Fundation (ESF) (2010-2015), dedicada al estudio de las residencias palaciegas de la Edad Moderna como espacios de intercambios políticos y culturales. El tema de las jornadas nacía de la unión de los intereses científicos de los grupos organizadores, dejando lugar a temáticas diferentes como: la articulación de un mensaje festivo a lo largo del recorri- do de procesiones y entradas públicas, la financiación y los aspectos más prácticos de la puesta en escena de un evento festivo, la tipificación de ceremonias y decoraciones en determinados contextos, el intercambio cultural a través de la fiesta, o la recepción de las modificaciones de los espacios por parte de los espectadores

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Dissolved organic matter (DOM) is a complex mixture of organic compounds, ubiquitous in marine and freshwater systems. Fluorescence spectroscopy, by means of Excitation-Emission Matrices (EEM), has become an indispensable tool to study DOM sources, transport and fate in aquatic ecosystems. However the statistical treatment of large and heterogeneous EEM data sets still represents an important challenge for biogeochemists. Recently, Self-Organising Maps (SOM) has been proposed as a tool to explore patterns in large EEM data sets. SOM is a pattern recognition method which clusterizes and reduces the dimensionality of input EEMs without relying on any assumption about the data structure. In this paper, we show how SOM, coupled with a correlation analysis of the component planes, can be used both to explore patterns among samples, as well as to identify individual fluorescence components. We analysed a large and heterogeneous EEM data set, including samples from a river catchment collected under a range of hydrological conditions, along a 60-km downstream gradient, and under the influence of different degrees of anthropogenic impact. According to our results, chemical industry effluents appeared to have unique and distinctive spectral characteristics. On the other hand, river samples collected under flash flood conditions showed homogeneous EEM shapes. The correlation analysis of the component planes suggested the presence of four fluorescence components, consistent with DOM components previously described in the literature. A remarkable strength of this methodology was that outlier samples appeared naturally integrated in the analysis. We conclude that SOM coupled with a correlation analysis procedure is a promising tool for studying large and heterogeneous EEM data sets.

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We investigate under which dynamical conditions the Julia set of a quadratic rational map is a Sierpiński curve.