Runtime Scheduling, Allocation, and Execution of Real-Time Hardware Tasks onto Xilinx FPGAs Subject to Fault Occurrence

This paper describes a novel way to exploit the computation capabilities delivered by modern Field-Programmable Gate Arrays (FPGAs), not only towards a higher performance, but also towards an improved reliability. Computation-specific pieces of circuitry are dynamically scheduled and allocated to different resources on the chip based on a set of novel algorithms which are described in detail in this article. These algorithms consider most of the technological constraints existing in modern partially reconfigurable FPGAs as well as spontaneously occurring faults and emerging permanent damage in the silicon substrate of the chip. In addition, the algorithms target other important aspects such as communications and synchronization among the different computations that are carried out, either concurrently or at different times. The effectiveness of the proposed algorithms is tested by means of a wide range of synthetic simulations, and, notably, a proof-of-concept implementation of them using real FPGA hardware is outlined

Estimación de la Reflectividad del Multitrayecto en Entornos Urbanos en Radares de Apertura Sintética

Synthetic Aperture Radar (SAR) images a target region reflectivity function in the multi-dimensional spatial domain of range and cross-range. SAR synthesizes a large aperture radar in order to achieve finer azimuth resolution than the one provided by any on-board real antenna. Conventional SAR techniques assume a single reflection of transmitted waveforms from targets. Nevertheless, today¿s new scenes force SAR systems to work in urban environments. Consequently, multiple-bounce returns are added to direct-scatter echoes. We refer to these as ghost images, since they obscure true target image and lead to poor resolution. By analyzing the quadratic phase error (QPE), this paper demonstrates that Earth¿s curvature influences the defocusing degree of multipath returns. In addition to the QPE, other parameters such as integrated sidelobe ratio (ISLR), peak sidelobe ratio (PSLR), contrast and entropy provide us with the tools to identify direct-scatter echoes in images containing undesired returns coming from multipath

Técnica de Inversión Temporal para la Mejora del Enfocado de Imágenes SAR en Entornos Urbanos

Conventional SAR (Synthetic Aperture Radar) techniques only consider a single reflection of transmitted waveforms from targets. Nevertheless, today?s new applications force SAR systems to work in much more complex scenes such as urban environments. As a result, multiple-bounce returns are additionally superposed to direct echoes. We refer to these as ghost images, since they obscure true target image and lead to poor resolution. By applying Time Reversal concept to SAR imaging (TR-SAR), it is possible to reduce considerably ?or almost mitigate? ghosting artifacts, recovering the lost resolution due to multipath effects. Furthermore, some focusing indicators such as entropy (E), contrast (C) and Rényi entropy (RE) provide us a good focusing criterion when using TR-SAR

Analysis of 5G-TSN Integration to Support Industry 4.0

Time Sensitive Networking (TSN) is becoming the standard Ethernet-based technology for converged networks of Industry 4.0 due to its capacity to support deterministic latency requirements. However, it cannot provide the required flexibility to support mobile industrial applications required for the factories of the future. This could be enabled through the integration of wireless technologies in factories, and in particular of 5G and Beyond networks since they have been designed to support ultra-reliable and low-latency communications. This has triggered significant interest to integrate 5G and TSN networks, and first frameworks for such integration have been defined. However, the work is at early stages and the solutions to effectively integrate the two networks so that 5G can support TSN QoS levels are yet to be designed. This paper discusses current research and standardization work on 5G-TSN integration, and quantifies for a closed loop control application the 5GS bridge delay. The paper uses an example based on 5G-ACIA [1] to discuss open technical and research challenges to effectively integrate 5G and TS

Investment in the long-tail of biodiversity data: from local research to global knowledge

In business, the "long-tail economy" refers to a market strategy where the gravity center shifts from a few high-demand products to many, varied products focused on small niches. Commercialization of individually low-demand products can be profitable as long as their production cost is low and, all taken together, they aggregate into a big chunk of the market. Similarly, in the "business" of biodiversity data acquisition, we can find several mainstream products that produce zillions of bits of information every year and account for most of the budget allocated to increase our primary data-based knowledge about Earth's biological diversity. These products play a crucial role in biodiversity research. However, along with these large global projects, there is a constellation of small-scale institutions that work locally, but whose contribution to our understanding of natural processes should not be dismissed. These information datasets can be collectively referred to as the "long-tail biodiversity data"

Approximate arithmetic units under voltage under-scaling

Increasingly power hungry processors and the identification of error tolerant applications have made approximate computing techniques one of the researching scopes of the present. The main objective of this work is to study and assess the benefits of certain approximate arithmetic units for their inclusion in the DRAC project?s approximate accelerator. In order to accomplish this objective, different approximate and accurate adders and multipliers are implemented in Verilog, synthesized and simulated using Cadence tools and finally compar- ed between them to evaluate whether they offer any benefits or not. Simulations are performed for both Overclocking and Voltage Underscaling conditions. The results indicated that some of the approximate adders show very competitive precision values at overclocking simulations for 400 ps, with slightly better power results, and other adders also presented very encouraging results for voltage overscaling simulations, offering higher precision values than the accurate adders for 0.4V. In contrary, the multipliers exhibited worse results than the accurate ones in every aspects for the realistic case dataset provided by the SW team

On some aspects of the concept of truth

Two aspects of truth constitute the subject of investigation in this thesis. These two aspects arise in the dependence of truth on language and fact. A statement is true or false, as the case may be, jointly in virtue of what it means and of how things are. This double dependence . of truth on meaning and reality establishes prima facie interconnections between these notions, which I am here concerned to analyse.Consideration of these interconnections with respect to individual sentences suggests that truth is dependent on meaning. After all, we cannot begin to assess a statement as to its veracity unless we first understand it, that is to say, grasp its meaning. This claim is unexceptionable, but only from a vantage point which precludes a general understanding of the concepts involved. It quite leaves out of account the evident consideration that it is only in the context of a language that a collocation of symbols or sounds is endowed with sense- While it must be that, to determine the truth or falsity of a statement, we have first to know its meaning, it does not follow that the concept of truth is to be analysed in terms of meaning. And indeed, at the level where we consider meaning in terms of the systematic functioning of language, we find that truth underlies meaning. In §1.2,1 consider four arguments which aim to show that an answer to the question "how is a statement endowed with meaning?'' is to be couched in terms of truth.[Continued ...]</p

New technique for static target detection in dense-multipath urban environments

Synthetic Aperture Radar (SAR) images a target region reflectivity function in the multi-dimensional spatial domain of range and cross-range with a finer azimuth resolution than the one provided by any on-board real antenna. Conventional SAR techniques assume a single reflection of transmitted waveforms from targets. Nevertheless, new uses of Unmanned Aerial Vehicles (UAVs) for civilian-security applications force SAR systems to work in much more complex scenes such as urban environments. Consequently, multiple-bounce returns are additionally superposed to direct-scatter echoes. They are known as ghost images, since they obscure true target image and lead to poor resolution. All this may involve a significant problem in applications related to surveillance and security. In this work, an innovative multipath mitigation technique is presented in which Time Reversal (TR) concept is applied to SAR images when the target is concealed in clutter, leading to TR-SAR technique. This way, the effect of multipath is considerably reduced ?or even removed?, recovering the lost resolution due to multipath propagation. Furthermore, some focusing indicators such as entropy (E), contrast (C) and Rényi entropy (RE) provide us with a good focusing criterion when using TR-SAR