Coping and adaptation against decreasing fish resources : case study of fishermen in Lake Inle, Myanmar

Fishermen depend on Lake Inle in Myanmar for their livelihood. However, the lake has been undergoing environmental degradation over the years. Adding to the long-term decrease in the catch because of this degradation, these fishermen faced extremely low water levels in 2010, which they had previously not experienced. Based on field surveys, this paper aims to reveal how fishermen adapted and coped with the changing environment as well as the sudden shock of the abnormally low water levels.

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.

2D tunable graded index prism beam steering device based on nematic liquid crystals

Liquid crystal devices are being used in many non-display applications in order to construct small devices controlled by low voltage electronics without mechanical components. In this work, we present a novel liquid crystal device for laser beam steering. In this device the orientation of the liquid crystal molecules can be controlled. A change in the liquid crystal orientation results in a change of the refractive index. When a laser beam passes through the device, the beam will be deviated (Fig.1) and the device works a prism. The main difference between this device and a prism is that in the device the orientation profile of the liquid crystal molecules can be modified so that the laser beam can be deviated a required angle: the device is tuneable.

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.

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.

Valoración de Indicadores de calidad para el diseño e implementación de tecnologías de manejo en Luvisoles de la zona norte de la provincia de Las Tunas, Cuba

La calidad del suelo es una herramienta de evaluación que puede facilitar la adaptación de prácticas de manejo que promuevan sistemas agropecuarios sostenibles. La investigación de este trabajo se inició con un diagnóstico participativo en 12 comunidades rurales de la provincia de Las Tunas en el año 2009 en el cual los productores identificaron los puntos críticos de calidad de los suelos de la región y sirvieron de punta de partida para seleccionar las variables físicas, químicas y biológicas a determinar en cinco sistemas de uso agropecuario (arboleda, pasto natural, pasto cultivado y dos sistemas silvopastoriles) en la zona La Veguita, municipio Las Tunas. El sistema arboleda se utilizó como referencia de las propiedades naturales del suelo. El pasto natural se distingue por el desarrollo de especies de baja productividad, sin embargo el pasto cultivado está representado por Pennisetum purpureum vc CUBA CT-115, y constituye una contribución a la tecnología de bancos de biomasa, para utilizarse en el pastoreo durante la seca. Los sistemas silvopastoriles están representados por Leucaena leucocephala Lam. en franjas y Panicum maximun vc. Likoni, los que se diferencian en su diseño, manejo y propiedades mineralógicas. El objetivo fundamental fue valorar indicadores de calidad de los suelos Luvisoles háplicos sobre granitoides, para diseñar e implementar tecnologías de manejo que permitan incrementar la capacidad agroproductiva de los suelos. Mediante el análisis de componentes principales se obtuvo un conjunto mínimo de indicadores físicos, químicos y biológicos que proporcionaron información útil referente a los procesos edáficos y se integraron para determinar un índice de calidad. En el sistema de uso, caracterizado por el pasto cultivado (Pennisetum purpureum) se estableció, en parcelas experimentales, un ensayo de corta duración, en el que se comparó el laboreo tradicional y el laboreo sin inversión del prisma, con y sin aplicación de compost. En ambos sistemas de labranza se evaluó el desarrollo del cultivo e indicadores de calidad del suelo. Los resultados mostraron que del conjunto de indicadores edáficos estudiados se seleccionaron 6 en los que la capacidad de intercambio catiónico, materia orgánica, potasio intercambiable, contenido de arena, densidad aparente y biomasa de lombrices explicaron la mayor variabilidad y sirvieron de base para evaluar la calidad de estos suelos. Se establecieron valores umbrales de referencia de indicadores de calidad, que permitirán evaluar y monitorear los sistemas de uso y manejo de la región. El sistema Silvopastoril 2 resultó el de mayor índice de calidad de los suelos tomando como referencia la arboleda por su condición natural. El manejo silvopastoril influyó predominantemente en mejores resultados productivos pero las características edáficas principalmente físicas, deben definir su diseño y manejo. El sistema de pastos cultivados con Pennisetum purpureum vc CUBA CT 115, alcanzó la mayor acumulación de carbono orgánico, sin embargo, el manejo limitó su calidad física y el funcionamiento productivo del sistema. De manera general los sistemas de uso no garantizan un índice de la calidad del suelo, puesto que se ve afectado por las propiedades edáficas y las prácticas de manejo. En el ámbito biológico, las lombrices constituyeron los organismos más numerosos con predominio en los sistemas silvopastoriles y arboleda. Los valores superiores de densidad y biomasa de oligoquetos y mayor diversidad de otros individuos de la macrofauna, indican que la presencia de árboles en los pastizales de gramínea potencia y diversifican las comunidades de macroinvertebrados del suelo. El sistema de labranza sin inversión del prisma propicia una mejor calidad física del suelo, manteniendo el carbono e incrementando los rendimientos del Penisetum purpureum cv CUBA CT 115. La labranza tradicional, a base de aradura y grada, afecta a los contenidos de materia orgánica en el corto plazo y mantiene capas compactas en el horizonte subyacente, además influye desfavorablemente al flujo del aire, agua y al desarrollo radical de los pastos. La aplicación de compost favoreció mejores resultados productivos en ambas tecnologías de manejo. Los resultados alcanzados recomiendan la implantación de tecnologías de manejo conservacionistas y la aplicación de materiales orgánicos que restituyan los elementos nutricionales requeridos por los pastos, por lo que no se justifica la continuidad del uso de prácticas tradicionales de laboreo con inversión del prisma que se realizan actualmente. ABSTRACT The soil quality is an assessment tool, which could facilitate the adaptation of management practices that promote sustainable agricultural systems. The present investigation was carried out with a participatory diagnostic in twelve rural communities from Las Tunas province in 2009, in which producers identified the critical soil quality points of region and served as a starting point to select the physical, chemical and biological variables, in order to determine on five agricultural used systems (grove, natural grass, cultivated grass and two silvopastoral systems) in La Veguita zone from municipality Las Tunas. The system grove was used as reference of natural soil properties. The natural grass is distinguished by the development of low-productivity species, however the cultivated grass is represented by Pennisetum purpureum vc CUBA CT-115, and is a contribution to the biomass banks technology, in order to use in grazing during the dry season. The silvopastoral systems are represented by Leucaena leucocephala Lam. in stripes and Panicum maximum cv. Likoni, which differ in their design, handling and mineralogical properties. The main aim of this study was to assess the quality indicators for haplic Luvisols on granitoids for designing and implementing management technologies in order to increase the agroproductive capacity of soils. A minimal set of physical, chemical and biological indicators by Principal Component Analysis was obtained, which provided some useful information regarding soil processes and their integration for determining an index of quality. In the use system, characterized for the cultivated grass (Pennisetum purpureum) a short term assay in experimental plots was established, where the traditional and prism without inversion tillage were compared with and without compost application. In both tillage systems were evaluated the crop development and soil quality indicators. The results showed that the studied soil indicators set, six were selected, specifically the ones with exchangeable cationic capacity, organic matter, interchangeable potassium, sand content, bulk density and earthworm biomass, which explained the higher variability and served as the basis for evaluating the soil quality. The Reference threshold values of quality indicators for evaluating and monitoring the use and management systems from the region were established. The silvopastoral system 2 had the highest quality soil index, taking of reference the grove system for its natural condition. The silvopastoral management influenced on better productive results, but the soil characteristics, particularly the physical properties to be defined its design and management. However, the cultivated grass system with Pennisetum purpureum vc CUBA CT 115, reached the greatest accumulation of organic carbon. However, the management limited its physical quality and productive performance of the system. In addition, the use systems do not guarantee an index of soil quality, since it is affected by soil properties and management practices. From the biological aspect, the earthworms are the most numerous organisms on the silvopastoral systems and grove. The higher values of oligochaetes biomass and density and the greater diversity of other organisms from macrofauna indicate that the tree presence on the pasture grasses allows enhancing and diversifying soil macro invertebrate communities. The non-inversion prism tillage system provides a better physical quality of soil, maintaining the carbon content and increasing the yields of Penisetum purpureum vc CUBA CT 115. The traditional tillage, using the plowing and harrowing affects the organic matter content in a short term and keeps on compact layers of underlying horizon, and adversely affects the air and water flow, and pasture radical development. The compost application favored the best production results in both management technologies. The results obtained recommend the implementation of conservation management technologies and the application of organic materials that restore the nutritional elements required by the pasture, so it does not justify the continued use of traditional tillage practices with prism investment that are currently being made.