This book presents cutting-edge research on innovative human systems integration and human–machine interaction, with an emphasis on artificial intelligence and automation, as well as computational modeling and simulation.

Embedded systems applications that are either mission or safety-critical usually entail low- to mid- production volumes, require the rapid development of specific tasks, which are typically computing intensive, and are cost bounded. The adoption of re-configurable FPGAs in such application domains is constrained to the availability of suitable techniques to guarantee the dependability requirements entailed by critical applications. This book describes the challenges faced by designers when implementing a mission- or safety-critical application using re-configurable FPGAs and it details various techniques to overcome these challenges. In addition to an overview of the key concepts of re-configurable FPGAs, it provides a theoretical description of the failure modes that can cause incorrect operation of re-configurable FPGA-based electronic systems. It also outlines analysis techniques that can be used to forecast such failures and covers the theory behind solutions to mitigate fault effects. This book also reviews current technologies available for building re-configurable FPGAs, specifically SRAM-based technology and Flash-based technology. For each technology introduced, theoretical concepts presented are applied to real cases. Design techniques and tools are presented to develop critical applications using commercial, off-the-shelf devices, such as Xilinx Virtex FPGAs, and Actel ProASIC FPGAs. Alternative techniques based on radiation hardened FPGAs, such as Xilinx SIRF and Atmel ATF280 are also presented. This publication is an invaluable reference for anyone interested in understanding the technologies of re-configurable FPGAs, as well as designers developing critical applications based on these technologies.

Cet ouvrage permet d'apprendre à maîtriser Excel 2010 et 2013. Il détaille chaque fonctionnalité, donne des astuces pour optimiser son travail, mettre en forme ses feuilles de calcul et les agrémenter d'illustrations, définir ses styles et ses propres modèles, sécuriser ses échanges, etc. …

Des conseils pour embellir ses photographies, grâce à cent ateliers pratiques qui permettent de s'entraîner à la retouche et au photomontage : raviver les couleurs, améliorer l'exposition, rectifier une perspective ou encore transformer un portrait. …

Avez-vous déjà souhaité pouvoir créer vos propres applications avec des interfaces élégantes et professionnelles ?
Soyons réalistes : créer des interfaces utilisateur graphiques (GUI) peut sembler intimidant. Toutes ces fenêtres, boutons et menus…

Vous voulez imprimer des objets en 3D ? Des objets dont vous pouvez être fier et que vous pouvez montrer à tout le monde que vous connaissez ? Alors, vous devez lire ce livre…

Un cours sur la programmation d'applications riches pour Windows et une description de la technologie WPF illustrée d'exemples. Deux modèles applicatifs WPF sont présentés : applications autonomes installées et applications navigateur XBAP (Xaml Browser Application)…

Efficiently prepare for both CompTIA A+ Core 1 and Core 2 exams with a variety of exam-oriented practice questions to ensure that your knowledge is tested thoroughly

This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications.
The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency.

This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems.

The volume set LNAI 11740 until LNAI 11745 constitutes the proceedings of the 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019, held in Shenyang, China, in August 2019.

The volume set LNAI 11740 until LNAI 11745 constitutes the proceedings of the 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019, held in Shenyang, China, in August 2019.
The total of 378 full and 25 short papers presented in these proceedings was carefully reviewed and selected from 522 submissions. The papers are organized in topical sections as follows:

Get started with FPGA programming using SystemVerilog, and develop real-world skills by building projects, including a calculator and a keyboard