Traditional Building Adaptation to New Requirements: Historic Center of Arequipa, Perú

The traditional buildings in the historic center of the city of Arequipa, Perú, recently declared of human heritage, are of volcanic tuff both in walls and in vaulted roofs on the ground floor. Having been built in the 18th century and up to the beginning of the 20th century, they have suffered many damages from the seismic movements registered in this region. Due to this, many of them have had to be rebuilt. In this presentation, the different changes to adapt the city of Spanish colonial origin to the present tertiary use are analyzed.

Automatic Adaptation of Airport Surface Surveillance to Sensor Quality

This paper describes a novel method to enhance current airport surveillance systems used in Advanced Surveillance Monitoring Guidance and Control Systems (A-SMGCS). The proposed method allows for the automatic calibration of measurement models and enhanced detection of nonideal situations, increasing surveillance products integrity. It is based on the definition of a set of observables from the surveillance processing chain and a rule based expert system aimed to change the data processing methods

A Light-Weight On-Chip Monitoring Network for Dynamic Adaptation and Calibration

Current nanometer technologies suffer within-die parameter uncertainties, varying workload conditions, aging, and temperature effects that cause a serious reduction on yield and performance. In this scenario, monitoring, calibration, and dynamic adaptation become essential, demanding systems with a collection of multi purpose monitors and exposing the need for light-weight monitoring networks. This paper presents a new monitoring network paradigm able to perform an early prioritization of the information. This is achieved by the introduction of a new hierarchy level, the threshing level. Targeting it, we propose a time-domain signaling scheme over a single-wire that minimizes the network switching activity as well as the routing requirements. To validate our approach, we make a thorough analysis of the architectural trade-offs and expose two complete monitoring systems that suppose an area improvement of 40% and a power reduction of three orders of magnitude compared to previous works.

Impacts and adaptive capacity as drivers for prioritizing agricultural adaptation to climate change in Europe

In the face of likely climate change impacts policy makers at different spatial scales need access to assessment tools that enable informed policy instruments to be designed. Recent scientific advances have facilitated the development of improved climate projections, but it remains to be seen whether these are translated into effective adaptation strategies. This paper uses existing databases on climate impacts on European agriculture and combines them with an assessment of adaptive capacity to develop an interdisciplinary approach for prioritising policies. It proposes a method for identifying relevant policies for different EU countries that are representative of various agroclimatic zones. Our analysis presents a framework for integrating current knowledge of future climate impacts with an understanding of the underlying socio-economic, agricultural and environmental traits that determine a region’s capacity for adapting to climate change.

Towards data-aware cost-driven adaptation for service orchestrations.

Several activities in service oriented computing, such as automatic composition, monitoring, and adaptation, can benefit from knowing properties of a given service composition before executing them. Among these properties we will focus on those related to execution cost and resource usage, in a wide sense, as they can be linked to QoS characteristics. In order to attain more accuracy, we formulate execution costs / resource usage as functions on input data (or appropriate abstractions thereof) and show how these functions can be used to make better, more informed decisions when performing composition, adaptation, and proactive monitoring. We present an approach to, on one hand, synthesizing these functions in an automatic fashion from the definition of the different orchestrations taking part in a system and, on the other hand, to effectively using them to reduce the overall costs of non-trivial service-based systems featuring sensitivity to data and possibility of failure. We validate our approach by means of simulations of scenarios needing runtime selection of services and adaptation due to service failure. A number of rebinding strategies, including the use of cost functions, are compared.

Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models

We present two approaches to cluster dialogue-based information obtained by the speech understanding module and the dialogue manager of a spoken dialogue system. The purpose is to estimate a language model related to each cluster, and use them to dynamically modify the model of the speech recognizer at each dialogue turn. In the first approach we build the cluster tree using local decisions based on a Maximum Normalized Mutual Information criterion. In the second one we take global decisions, based on the optimization of the global perplexity of the combination of the cluster-related LMs. Our experiments show a relative reduction of the word error rate of 15.17%, which helps to improve the performance of the understanding and the dialogue manager modules.

Comparison of Mesh Adaptation Using the Adjoint Methodology and Truncation Error Estimates

Mesh adaptation based on error estimation has become a key technique to improve th eaccuracy o fcomputational-fluid-dynamics computations. The adjoint-based approach for error estimation is one of the most promising techniques for computational-fluid-dynamics applications. Nevertheless, the level of implementation of this technique in the aeronautical industrial environment is still low because it is a computationally expensive method. In the present investigation, a new mesh refinement method based on estimation of truncation error is presented in the context of finite-volume discretization. The estimation method uses auxiliary coarser meshes to estimate the local truncation error, which can be used for driving an adaptation algorithm. The method is demonstrated in the context of two-dimensional NACA0012 and three-dimensional ONERA M6 wing inviscid flows, and the results are compared against the adjoint-based approach and physical sensors based on features of the flow field.

Development of mathematical models to elaborate strategies, select alternatives and development of plans for adaptation of communities to climate change in different geographical areas including costs to implement it.

There is evidence that the climate changes and that now, the change is influenced and accelerated by the CO2 augmentation in atmosphere due to combustion by humans. Such ?Climate change? is on the policy agenda at the global level, with the aim of understanding and reducing its causes and to mitigate its consequences. In most countries and international organisms UNO (e.g. Rio de Janeiro 1992), OECD, EC, etc . . . the efforts and debates have been directed to know the possible causes, to predict the future evolution of some variable conditioners, and trying to make studies to fight against the effects or to delay the negative evolution of such. The Protocol of Kyoto 1997 set international efforts about CO2 emissions, but it was partial and not followed e.g. by USA and China . . . , and in Durban 2011 the ineffectiveness of humanity on such global real challenges was set as evident. Among all that, the elaboration of a global model was not boarded that can help to choose the best alternative between the feasible ones, to elaborate the strategies and to evaluate the costs, and the authors propose to enter in that frame for study. As in all natural, technological and social changes, the best-prepared countries will have the best bear and the more rapid recover. In all the geographic areas the alternative will not be the same one, but the model must help us to make the appropriated decision. It is essential to know those areas that are more sensitive to the negative effects of climate change, the parameters to take into account for its evaluation, and comprehensive plans to deal with it. The objective of this paper is to elaborate a mathematical model support of decisions, which will allow to develop and to evaluate alternatives of adaptation to the climatic change of different communities in Europe and Latin-America, mainly in especially vulnerable areas to the climatic change, considering in them all the intervening factors. The models will consider criteria of physical type (meteorological, edaphic, water resources), of use of the ground (agriculturist, forest, mining, industrial, urban, tourist, cattle dealer), economic (income, costs, benefits, infrastructures), social (population), politician (implementation, legislation), educative (Educational programs, diffusion) and environmental, at the present moment and the future. The intention is to obtain tools for aiding to get a realistic position for these challenges, which are an important part of the future problems of humanity in next decades.

Development of mathematical models to elaborate strategies, to select alternatives and the development of plans for the adaptation of communities to climate change in different geographical areas including costs to implement it

Climate change is on the policy agenda at the global level, with the aim of understanding and reducing its causes and to mitigate its consequences. In most of the countries and international organisms UNO, OECD, EC, etc … the efforts and debates have been directed to know the possible causes, to predict the future evolution of some variable conditioners, and trying to make studies to fight against the effects or to delay the negative evolution of such. Nevertheless, the elaboration of a global model was not boarded that can help to choose the best alternative between the feasible ones, to elaborate the strategies and to evaluate the costs. As in all natural, technological and social changes, the best-prepared countries will have the best bear and the more rapid recover. In all the geographic areas the alternative will not be the same one, but the model should help us to make the appropriated decision. It is essential to know those areas that are more sensitive to the negative effects of climate change, the parameters to take into account for its evaluation, and comprehensive plans to deal with it. The objective of this paper is to elaborate a mathematical model support of decisions, that will allow to develop and to evaluate alternatives of adaptation to the climatic change of different communities in Europe and Latin-America, mainly, in vulnerable areas to the climatic change, considering in them all the intervening factors. The models will take into consideration criteria of physical type (meteorological, edaphic, water resources), of use of the ground (agriculturist, forest, mining, industrial, urban, tourist, cattle dealer), economic (income, costs, benefits, infrastructures), social (population), politician (implementation, legislation), educative (Educational programs, diffusion), sanitary and environmental, at the present moment and the future.

Procesos configurativos: de la trama a la noción de campo en los "mat buildings"

La presente tesis aborda el estudio sobre los llamados mat buildings, que surgen entre los años cincuenta y sesenta del pasado siglo. Los mat buildings, también llamados “edificios esteras” o “edificios alfombras”, nacen en gran parte como consecuencia de los desacuerdos e insatisfacciones de los CIAM con el reduccionismo funcionalista y los principios de compartimentación funcional. Estos nuevos modelos remplazan el modelo de ciudad entendido como una colección de edificios individuales por una concepción de un patrón urbano. No es la suma de la longitud, la altura y el ancho sino más bien una densa alfombra bi-dimensional, con una configuración de formas que ofrece al mismo tiempo un orden repetitivo y una infinita diversidad de secuencias con infinitas posibilidades de adaptación donde el hombre vive y se desplaza. Estas características que irán apareciendo en la obras de muchos de los arquitectos que forman parte del grupo Team X son los que Alison Smithson empieza a revelar en su artículo, con la ambición de manifestar una nueva sensibilidad y una nueva forma de entender y ver la arquitectura. Los mat buildings y los cluster serán los códigos utilizados por diferentes miembros del Team X para pensar una arquitectura y un urbanismo alternativo al propuesto por los CIAM. Mediante ellos encuentran el camino para una nueva estética de la conexión con un desplazamiento desde una concepción determinista de la forma arquitectónica (una forma cerrada y en general definida a priori) hacia una actitud más libre, más abierta, fundamentada no tanto en la entereza de la forma global sino en cuanto a la intensidad de sus redes internas y de sus diferentes niveles de asociación. La tesis tiene como propósito final cuestionar si esta tipología de edificios, cuyo principio de base es siempre una matriz geométrica abierta (trama, retícula, malla), con crecimiento ilimitado, puede redefinir la frontera entre ciudad y edificio y, por tanto, entre público y privado, individual y colectivo, estructural e infraestructural, permanente y variable. Por ello, se presenta un estudio histórico y crítico en profundidad sobre los mat buildings, analizando detenidamente y por orden cronológico cinco de sus obras más paradigmáticas: el Orfanato en Ámsterdam de Aldo Van Eyck, la Universidad Libre en Berlín de Candilis, Josic y Woods, el Hospital de Venecia de Le Corbusier y Guillermo Jullián de la Fuente, el edificio administrativo de la Centraal Beheer en Apeldoorn de Herman Hertzberger, y por último el MUSAC en León, realizado por Mansilla y Tuñon. Las cuatro primeras obras pertenecen al periodo Team X y son precursoras de muchos otros proyectos que aparecerán a posteriori. La última obra analizada, el MUSAC, es estudiada conjuntamente con algunas obras del arquitecto japonés Sou Fujimoto y otros casos contemporáneos con la intención de manifestar cómo arquitectos de horizontes muy diferentes vuelven a recurrir a estos modelos de crecimientos ilimitados. Mediante el estudio de varios ejemplos contemporáneos se examinan las repercusiones, transformaciones y evoluciones que estos modelos han tenido. La exploración contrastada permite apreciar adecuadamente la pertinencia de estos modelos y los cambios de modalidades y de procesos que advienen con la aparición en el panorama contemporáneo de la noción de campo y los cambios de paradigma que conlleva. Estos nuevos modelos abren nuevos procesos y forma de abordar la arquitectura basada en las relaciones, flujos, movimientos y asociaciones que son caracterizados por diferentes patrones que vienen a alimentar todo el proceso del proyecto arquitectónico. El estudio de estos nuevos modelos nos indica las cualidades que puede ofrecer la revisión de estos métodos para empezar a tratar nuevas cuestiones que hoy en día parecen ser, permanentemente, parte de la condición urbana. XII ABSTRACT This thesis deals with the study of the so-called mat buildings which emerged between the fifties and sixties of the last century. Mat, or carpet, buildings appeared largely as a result of the CIAM’s disagreement and dissatisfaction with functionalist reductionism and the principles of functional compartmentalisation. These new models replaced the model of the city, seen as a collection of individual buildings, with the concept of an urban pattern. It is not the sum of the length, height and width but rather a dense, two- dimensional mat with a configuration of forms offering both a repetitive order and an infinite diversity of sequences with endless possibilities for adaptation, where man lives and circulates. These characteristics, which appeared in the works of many of the architects who formed part of Team X, are those that Alison Smithson started to reveal in her article with the aim of manifesting a new sensibility and a new way of understanding and seeing architecture. Mat buildings and clusters were the codes used by different members of Team X to plan an alternative architecture and urbanism to that proposed by the CIAM. With them, they found the path for a new aesthetic of connection, with a shift from a deterministic concept of the architectural form (closed and generally defined a priori) towards a more free, more open attitude based not so much on the integrity of the overall form but on the intensity of its internal networks and different levels of association. The end purpose of this thesis is to question whether this type of building, the basic principle of which is always an open geometric matrix (grid, recticle, network) with unlimited growth, can redefine the boundary between city and building and, thus, between public and private, individual and collective, structural and infrastructural, and permanent and variable. To this end, an in-depth historical and critical study of mat buildings is presented, analysing carefully and in chronological order five of the most paradigmatic works of this style: the Orphanage in Amsterdam, by Aldo Van Eyck; the Free University of Berlin, by Candilis, Josic and Woods; Venice Hospital, by Le Corbusier and Guillermo Jullián de la Fuente; the Centraal Beheer administration building in Apeldoorn, by Herman Hertzberger; and lastly, the MUSAC (Contemporary Art Museum) in León, designed by Mansilla and Tuñon. The first four works are from the Team X period and were the precursors to many other projects that would appear later. The last work analysed, the MUSAC, is studied together with some works by Japanese architect Sou Fujimoto and other contemporary cases to show how architects with very different perspectives revert to these models of limitless growth. Through the study of several contemporary examples we examine the repercussions, transformations and evolutions these models have had. The contrasted research XIII allows us to properly appreciate the importance of these models and the changes in forms and processes that came with the emergence of the idea of field in the contemporary arena and the paradigm shifts it entailed. These new models opened up new processes and a way of approaching architecture based on relationships, flows, movements and associations characterised by different patterns that feed the entire process of the architectural project. The study of these new models shows us the benefits that a review of these methods can contribute to addressing new issues that today appear to be a permanent part of the urban condition.

Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models

We present two approaches to cluster dialogue-based information obtained by the speech understanding module and the dialogue manager of a spoken dialogue system. The purpose is to estimate a language model related to each cluster, and use them to dynamically modify the model of the speech recognizer at each dialogue turn. In the first approach we build the cluster tree using local decisions based on a Maximum Normalized Mutual Information criterion. In the second one we take global decisions, based on the optimization of the global perplexity of the combination of the cluster-related LMs. Our experiments show a relative reduction of the word error rate of 15.17%, which helps to improve the performance of the understanding and the dialogue manager modules.

A Monitoring Infrastructure for FPGA Self-Awareness and Dynamic Adaptation

Variabilities associated with CMOS evolution affect the yield and performance of current digital designs. FPGAs, which are widely used for fast prototyping and implementation of digital circuits, also suffer from these issues. Proactive approaches start to appear to achieve self-awareness and dynamic adaptation of these devices. To support these techniques we propose the employment of a multi-purpose sensor network. This infrastructure, through adequate use of configuration and automation tools, is able to obtain relevant data along the life cycle of an FPGA. This is realised at a very reduced cost, not only in terms of area or other limited resources, but also regarding the design effort required to define and deploy the measuring infrastructure. Our proposal has been validated by measuring inter-die and intra-die variability in different FPGA families.

Underground dwellings in the Tajuña valley, Madrid, Spain and their bioclimatic adaptation

Underground dwellings are the maximum example of the vernacular architecture adaptation to the climatic conditions in areas with high annual and daily thermal fluctuations. This paper summarizes the systematic research about the energy performance of this popular architecture and their adaptation to the outdoor conditions in the case of the low area of the River Tajuña and its surroundings. Some considerations on their maintenance and renovation arise from the research.

On the dynamic adaptation of language models based on dialogue information

We present an approach to adapt dynamically the language models (LMs) used by a speech recognizer that is part of a spoken dialogue system. We have developed a grammar generation strategy that automatically adapts the LMs using the semantic information that the user provides (represented as dialogue concepts), together with the information regarding the intentions of the speaker (inferred by the dialogue manager, and represented as dialogue goals). We carry out the adaptation as a linear interpolation between a background LM, and one or more of the LMs associated to the dialogue elements (concepts or goals) addressed by the user. The interpolation weights between those models are automatically estimated on each dialogue turn, using measures such as the posterior probabilities of concepts and goals, estimated as part of the inference procedure to determine the actions to be carried out. We propose two approaches to handle the LMs related to concepts and goals. Whereas in the first one we estimate a LM for each one of them, in the second one we apply several clustering strategies to group together those elements that share some common properties, and estimate a LM for each cluster. Our evaluation shows how the system can estimate a dynamic model adapted to each dialogue turn, which helps to improve the performance of the speech recognition (up to a 14.82% of relative improvement), which leads to an improvement in both the language understanding and the dialogue management tasks.

Analyzing climate change adaptation in the agriculture and water sectors: screening risks and opportunities.

As part of the Mediterranean area, the Guadiana basin in Spain is particularly exposed to increasing water stress due to climate change. Future warmer and drier climate will have negative implications for the sustainability of water resources and irrigation agriculture, the main socio- economic sector in the region. This paper illustrates a systematic analysis of climate change impacts and adaptation in the Guadiana basin based on a two-stage modeling approach. First, an integrated hydro-economic modeling framework was used to simulate the potential effects of regional climate change scenarios for the period 2000-2069. Second, a participatory multi-criteria technique, namely the Analytic Hierarchy Process (AHP), was applied to rank potential adaptation measures based on agreed criteria. Results show that, in the middle-long run and under severe climate change, reduced water availability, lower crop yields and increased irrigation demands might lead to water shortages, crop failure, and up to ten percent of income losses to irrigators. AHP results show how private farming adaptation measures, including improving irrigation efficiency and adjusting crop varieties, are preferred to public adaptation measures, such as building new dams. The integrated quantitative and qualitative methodology used in this research can be considered a socially-based valuable tool to support adaptation decision-making.