905 resultados para Soft-bottoms


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Se ha estudiado la composición de las poblaciones de crustáceos decápodos en los fondos detríticos circalitorales del Este y Sureste ibérico, con relación a sus diferentes facies, efectuándose diferentes análisis estadísticos sobre la composición y diversidad. La taxocenosis de crustáceos decápodos muestra elevados valores de abundancia, riqueza y diversidad en las localidades identificadas como fondos detríticos costeros de aspecto típico. Por último, algunos grupos de especies podrían ser utilizados para caracterizar las biocenosis típica de fondos detríticos costeros, tales como: Paguristes eremita, Ebalia edwardsi, E. deshayesi, Eurynome aspera, Galathea intermedia, Parthenope massena, y Anapagurus hyndmani; la biocenosis del detrítico costero enfangada: Ebalia tuberosa, Atelecyclus rotundatus, Ethusa mascarone, y Liocarcinus zariquieyi; y la biocenosis de arenas fangosas: Upogebia deltaura, Goneplax rhomboides.

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Several recent works deal with 3D data in mobile robotic problems, e.g., mapping. Data comes from any kind of sensor (time of flight, Kinect or 3D lasers) that provide a huge amount of unorganized 3D data. In this paper we detail an efficient approach to build complete 3D models using a soft computing method, the Growing Neural Gas (GNG). As neural models deal easily with noise, imprecision, uncertainty or partial data, GNG provides better results than other approaches. The GNG obtained is then applied to a sequence. We present a comprehensive study on GNG parameters to ensure the best result at the lowest time cost. From this GNG structure, we propose to calculate planar patches and thus obtaining a fast method to compute the movement performed by a mobile robot by means of a 3D models registration algorithm. Final results of 3D mapping are also shown.

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Commercial off-the-shelf microprocessors are the core of low-cost embedded systems due to their programmability and cost-effectiveness. Recent advances in electronic technologies have allowed remarkable improvements in their performance. However, they have also made microprocessors more susceptible to transient faults induced by radiation. These non-destructive events (soft errors), may cause a microprocessor to produce a wrong computation result or lose control of a system with catastrophic consequences. Therefore, soft error mitigation has become a compulsory requirement for an increasing number of applications, which operate from the space to the ground level. In this context, this paper uses the concept of selective hardening, which is aimed to design reduced-overhead and flexible mitigation techniques. Following this concept, a novel flexible version of the software-based fault recovery technique known as SWIFT-R is proposed. Our approach makes possible to select different registers subsets from the microprocessor register file to be protected on software. Thus, design space is enriched with a wide spectrum of new partially protected versions, which offer more flexibility to designers. This permits to find the best trade-offs between performance, code size, and fault coverage. Three case studies have been developed to show the applicability and flexibility of the proposal.

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Integrity assurance of configuration data has a significant impact on microcontroller-based systems reliability. This is especially true when running applications driven by events which behavior is tightly coupled to this kind of data. This work proposes a new hybrid technique that combines hardware and software resources for detecting and recovering soft-errors in system configuration data. Our approach is based on the utilization of a common built-in microcontroller resource (timer) that works jointly with a software-based technique, which is responsible to periodically refresh the configuration data. The experiments demonstrate that non-destructive single event effects can be effectively mitigated with reduced overheads. Results show an important increase in fault coverage for SEUs and SETs, about one order of magnitude.

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The diseases that affect the oral cavity are wide and diverse, comprising a broad spectrum of either benign or malignant lesions. However, few histological-based studies were performed for the evaluation of oral cavity lesions, and very few directed to oral soft tissue pathology. The aim of this study was to carry out pioneering research, within a Portuguese population, to determine the frequency and characteristics of oral malignancies, potential malignant disorders, and soft benign tissues pathologies submitted for biopsy in a north Portugal (Oporto) hospital population.