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O grande escritor português Eça de Queiroz costumava dizer que a história é uma velhota que se repete sem cessar. A máxima do grande poeta, no entanto, parece não ser dotada de tanta razão quando se trata dos problemas raciais enfrentados pelo Brasil. Na verdade, quando o olhar é voltado para trás antes de ser lançado à frente, o que se percebe é que, bem articulado, o pretérito imperfeito transfigura-se tendenciosamente em um presente indicativo, no qual expressões como o “éreis” são projetadas para percepções tão limitadas quanto finalistas do “sois”, onde são rompidos os vínculos com respectivos inícios e meios, numa espécie de déjà-vu dissociativo, onde os algozes mascaram sua culpa e, na obscuridade, continuam a explorar, oprimir e derramar sangue da população afrodescendente. A história não se repete. A história não acabou. Das correntes de ferro às correntes sanguíneas, o Brasil, com seus sólidos núcleos de poder oligárquicos, mantém seu DNA racista, debaixo de farsa do Estado Democrático de Direito. Onde eles estão?
This book constitutes the refereed proceedings of the 10th International Joint Conference on E-Business and Telecommunications, ICETE 2013, held in Reykjavik, Iceland, in July 2013. ICETE is a joint international conference integrating four major areas of knowledge that are divided into six corresponding conferences: International Conference on Data Communication Networking, DCNET; International Conference on E-Business, ICE-B; International Conference on Optical Communication Systems, OPTICS; International Conference on Security and Cryptography, SECRYPT; International Conference on Wireless Information Systems, WINSYS; and International Conference on Signal Processing and Multimedia, SIGMAP. The 24 full papers presented were carefully reviewed and selected from 341 submissions. The papers cover the following key areas of e-business and telecommunications: data communication networking, e-business, optical communication systems, security and cryptography, signal processing and multimedia applications, wireless information networks and systems.
An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the...
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relat...
Cyber-physical systems (CPS) are "engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components." CPS can be small and closed, such as an artificial pancreas, or very large, complex, and interconnected, such as a regional energy grid. CPS engineering focuses on managing inter- dependencies and impact of physical aspects on cyber aspects, and vice versa. With the development of low-cost sensing, powerful embedded system hardware, and widely deployed communication networks, the reliance on CPS for system functionality has dramatically increased. These technical developments in combination with the creation of a workforce s...
A comprehensive collection of benchmarks for measuring dependability in hardware-software systems As computer systems have become more complex and mission-critical, it is imperative for systems engineers and researchers to have metrics for a system's dependability, reliability, availability, and serviceability. Dependability benchmarks are useful for guiding development efforts for system providers, acquisition choices of system purchasers, and evaluations of new concepts by researchers in academia and industry. This book gathers together all dependability benchmarks developed to date by industry and academia and explains the various principles and concepts of dependability benchmarking. It ...
This volume investigates the clausal syntax of Wolof, an understudied Atlantic language of Senegal. The goals of the work are descriptive, analytical, and comparative, with a focus on the structure of the left periphery and left peripheral phenomena. The book includes detailed examination of the morpho?syntax of wh?questions, successive cyclicity, subject marking, relative clauses, topic/focus articulation, and complementizer agreement. Novel data from Wolof is used to evaluate and extend theoretical proposals concerning the structure of the Complementizer Phrase (CP) and Tense Phrase (TP). It is argued that Wolof provides evidence for the promotion analysis of relative clauses, an exploded ...
In this insightful, modern study of the use of periodic models in the description and forecasting of economic data the authors investigate such areas as seasonal time series, periodic time series models, periodic integration and periodic cointegration.
State space time series analysis emerged in the 1960s in engineering, but its applications have spread to other fields. Durbin (statistics, London School of Economics and Political Science) and Koopman (econometrics, Free U., Amsterdam) extol the virtues of such models over the main analytical system currently used for time series data, Box-Jenkins' ARIMA. What distinguishes state space time models is that they separately model components such as trend, seasonal, regression elements and disturbance terms. Part I focuses on traditional and new techniques based on the linear Gaussian model. Part II presents new material extending the state space model to non-Gaussian observations. c. Book News Inc.