6 resultados para Adaptação estática e dinâmica

em Universidade Federal do Rio Grande do Norte(UFRN)


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This study analyzes the institucional environment and its changes around the carcinicultora activity in Rio Grande do Norte from the understanding of its trajectory and the macroinstitucional elements micron and that characterizes the activity in the period of 1999 the 2009. In the analysis of the occured institucional changes in the carcinicultura the Guaraíra Estuary is overcome as space reference, located in the eastern coast of the Rio Grande of the North. The analysis proposal has for base the adoption of the conceptual support of the innovative institucionalistas and neoshumpterianas theories, for understanding that these bring complementary and enriching elements that will allow an analysis, not static, but, dynamics of the carcinicultora activity. It was verified that the crisis brought up for the antidumping action, for the problems of the illnesses that had abated the shrimp, for the depreciation of the Real, among others it led to an overturn in the productive conjuncture of market and forced the alteration of the effective institutions. This institucional alteration, goes in the direction to search to take care of the new demands of the carcinicultura that was possible for the solidity of the institucional foundations constructed throughout the thirty previous years and the consequent consolidation of the composed institucional apparatus for rich a mix of organizations, not only for agencies of government, as well as for organizations with social representation

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The increasing world population of older individuals has become a subject of growing research for prevention and reversibility of the frailty because it is a major risk factor for the occurrence of falls, especially when it involves everyday situations of dual task. Some rehabilitation programs have already used the methods of dual-task with general exercises for improving gait and postural control, but has been reported that these interventions have little specificity with limited success to improve certain aspects of static and dynamic position during the performance of functional tasks. This study aimed to verify the measures of postural control in a group of elderly women with fragility phenotype after physical therapy intervention program based on dual-task treadmill training. We selected six pre-frail elderly subjects, with a minimum age of 65, female, living in the community and randomly assigned to two groups. The survey was conducted twice a week for 45 minutes, for four weeks. The simple task intervention consisted only in training on a treadmill and the dual task consisted of in treadmill training associated with visual stimuli. The assessments were made with the use of the Berg Balance Scale (BBS) and the Balance Master® computerized posturography, static and dynamically. The effects of retention were observed after one month, using the same instruments earlier used. The results showed a tendency toward improvement or maintenance of the balance after training on a treadmill, especially with respect to static equilibrium. Both groups showed the most notable changes in the variables related to gait, as the length and speed. The BBS scores and the baropodometric variables showed that the experimental group could keep all values similar or better even one month after completion of training unlike the control group. We concluded that the dual-task performance had no additional value in relation to the improvement of balance in general, but we observed that the effectiveness of visual stimulation occurred in the maintenance of short term balancevariables

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Multi-Cloud Applications are composed of services offered by multiple cloud platforms where the user/developer has full knowledge of the use of such platforms. The use of multiple cloud platforms avoids the following problems: (i) vendor lock-in, which is dependency on the application of a certain cloud platform, which is prejudicial in the case of degradation or failure of platform services, or even price increasing on service usage; (ii) degradation or failure of the application due to fluctuations in quality of service (QoS) provided by some cloud platform, or even due to a failure of any service. In multi-cloud scenario is possible to change a service in failure or with QoS problems for an equivalent of another cloud platform. So that an application can adopt the perspective multi-cloud is necessary to create mechanisms that are able to select which cloud services/platforms should be used in accordance with the requirements determined by the programmer/user. In this context, the major challenges in terms of development of such applications include questions such as: (i) the choice of which underlying services and cloud computing platforms should be used based on the defined user requirements in terms of functionality and quality (ii) the need to continually monitor the dynamic information (such as response time, availability, price, availability), related to cloud services, in addition to the wide variety of services, and (iii) the need to adapt the application if QoS violations affect user defined requirements. This PhD thesis proposes an approach for dynamic adaptation of multi-cloud applications to be applied when a service is unavailable or when the requirements set by the user/developer point out that other available multi-cloud configuration meets more efficiently. Thus, this work proposes a strategy composed of two phases. The first phase consists of the application modeling, exploring the similarities representation capacity and variability proposals in the context of the paradigm of Software Product Lines (SPL). In this phase it is used an extended feature model to specify the cloud service configuration to be used by the application (similarities) and the different possible providers for each service (variability). Furthermore, the non-functional requirements associated with cloud services are specified by properties in this model by describing dynamic information about these services. The second phase consists of an autonomic process based on MAPE-K control loop, which is responsible for selecting, optimally, a multicloud configuration that meets the established requirements, and perform the adaptation. The adaptation strategy proposed is independent of the used programming technique for performing the adaptation. In this work we implement the adaptation strategy using various programming techniques such as aspect-oriented programming, context-oriented programming and components and services oriented programming. Based on the proposed steps, we tried to assess the following: (i) the process of modeling and the specification of non-functional requirements can ensure effective monitoring of user satisfaction; (ii) if the optimal selection process presents significant gains compared to sequential approach; and (iii) which techniques have the best trade-off when compared efforts to development/modularity and performance.

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ln this work the implementation of the SOM (Self Organizing Maps) algorithm or Kohonen neural network is presented in the form of hierarchical structures, applied to the compression of images. The main objective of this approach is to develop an Hierarchical SOM algorithm with static structure and another one with dynamic structure to generate codebooks (books of codes) in the process of the image Vector Quantization (VQ), reducing the time of processing and obtaining a good rate of compression of images with a minimum degradation of the quality in relation to the original image. Both self-organizing neural networks developed here, were denominated HSOM, for static case, and DHSOM, for the dynamic case. ln the first form, the hierarchical structure is previously defined and in the later this structure grows in an automatic way in agreement with heuristic rules that explore the data of the training group without use of external parameters. For the network, the heuristic mIes determine the dynamics of growth, the pruning of ramifications criteria, the flexibility and the size of children maps. The LBO (Linde-Buzo-Oray) algorithm or K-means, one ofthe more used algorithms to develop codebook for Vector Quantization, was used together with the algorithm of Kohonen in its basic form, that is, not hierarchical, as a reference to compare the performance of the algorithms here proposed. A performance analysis between the two hierarchical structures is also accomplished in this work. The efficiency of the proposed processing is verified by the reduction in the complexity computational compared to the traditional algorithms, as well as, through the quantitative analysis of the images reconstructed in function of the parameters: (PSNR) peak signal-to-noise ratio and (MSE) medium squared error

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Ubiquitous computing systems operate in environments where the available resources significantly change during the system operation, thus requiring adaptive and context aware mechanisms to sense changes in the environment and adapt to new execution contexts. Motivated by this requirement, a framework for developing and executing adaptive context aware applications is proposed. The PACCA framework employs aspect-oriented techniques to modularize the adaptive behavior and to keep apart the application logic from this behavior. PACCA uses abstract aspect concept to provide flexibility by addition of new adaptive concerns that extend the abstract aspect. Furthermore, PACCA has a default aspect model that considers habitual adaptive concerns in ubiquitous applications. It exploits the synergy between aspect-orientation and dynamic composition to achieve context-aware adaptation, guided by predefined policies and aim to allow software modules on demand load making possible better use of mobile devices and yours limited resources. A Development Process for the ubiquitous applications conception is also proposed and presents a set of activities that guide adaptive context-aware developer. Finally, a quantitative study evaluates the approach based on aspects and dynamic composition for the construction of ubiquitous applications based in metrics

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One way to deal with the high complexity of current software systems is through selfadaptive systems. Self-adaptive system must be able to monitor themselves and their environment, analyzing the monitored data to determine the need for adaptation, decide how the adaptation will be performed, and finally, make the necessary adjustments. One way to perform the adaptation of a system is generating, at runtime, the process that will perform the adaptation. One advantage of this approach is the possibility to take into account features that can only be evaluated at runtime, such as the emergence of new components that allow new architectural arrangements which were not foreseen at design time. In this work we have as main objective the use of a framework for dynamic generation of processes to generate architectural adaptation plans on OSGi environment. Our main interest is evaluate how this framework for dynamic generation of processes behave in new environments