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Práticas de Gestão da Inovação. Volume III
O livro “Práticas de Gestão da Inovação. Volume III”, com um total de sete capítulos, aborda formas de organizar o processo de inovação, especialmente em um contexto da Indústria 4.0 buscando, por meio de um olhar prático, provocar nos leitores e gestores de inovação uma reflexão sobre estratégias, métodos, ferramentas de inovação, além de fatores impulsionadores e impactos de se adotar uma estratégia de inovação. Com autores com várias formações, dentro de um ambiente interdisciplinar, esse livro indicado para alunos de graduação, pós-graduação e gestores, independente da área de atuação.
Photoelectrocatalysis
Photoelectrocatalysis: Fundamentals and Applications presents an in-depth review of the topic for students and researchersworking on photoelectrocatalysis-related subjects from pure chemistry to materials and environmental chemistry inorder to propose applications and new perspectives. The main advantage of a photoelectrocatalytic process is the mildexperimental conditions under which the reactions are carried out, which are often possible at atmospheric pressure androom temperature using cheap and nontoxic solvents (e.g., water), oxidants (e.g., O2 from the air), catalytic materials (e.g.,TiO2 on Ti layer), and the potential exploitation of solar light. This book presents the fundamentals a...
Heterogeneous Computing Architectures
Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.
MicroC/OS-II
MicroC/OS II Second Edition describes the design and implementation of the MicroC/OS-II real-time operating system (RTOS). In addition to its value as a reference to the kernel, it is an extremely detailed and highly readable design study particularly useful to the embedded systems student. While documenting the design and implementation of the kernel, the book also walks the reader through the many related development issues: how to adapt the kernel for a new microprocessor, how to install the kernel, and how to structure the applications that run on the kernel. This edition features documentation for several important new features of the software, including new real-time services, floating points, and coding conventions. The accompanying downloadable resources include complete code for the MicroC/OS-II kernel.
Information Theory for Continuous Systems
This book provides a systematic mathematical analysis of entropy and stochastic processes, especially Gaussian processes, and its applications to information theory.The contents fall roughly into two parts. In the first part a unified treatment of entropy in information theory, probability theory and mathematical statistics is presented. The second part deals mostly with information theory for continuous communication systems. Particular emphasis is placed on the Gaussian channel.An advantage of this book is that, unlike most books on information theory, it places emphasis on continuous communication systems, rather than discrete ones.
Advances in Neural Information Processing Systems 15
Proceedings of the 2002 Neural Information Processing Systems Conference.
Advances in Large Margin Classifiers
The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a key tool for dealing with classifiers. This book shows how this idea applies to both the theoretical analysis and the design of algorithms. The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. Among the contributors are Manfred Opper, Vladimir Vapnik, and Grace Wahba.
Burgmüller, Czerny & Hanon -- Piano Studies Selected for Technique and Musicality, Vol 1
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