The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS.
A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects. Large particle accelerators, outer space probes, genomics platforms: all are scientific enterprises managed through the new form of the research infrastructure, in which communities of scientists collaborate across nations, universities, research institutions, and disciplines. Such large projects are often publicly funded, with no accepted way to measure the benefits to society of these investments. In this book, Massimo Florio suggests the use of cost-benefit analysis (CBA) to evaluate the socioeconomic impact of public investment in large and costly scientific projects. The core concept of CBA of any infrastructure is to undertake the consistent intertemporal accounting of social welfare effects using the available information. Florio develops a simple framework for such accounting in the research infrastructure context and then offers a systematic analysis of the benefits in terms of the social agents involved. He measures the benefits to scientists, students, and postdoctoral researchers; the effect on firms of knowledge spillovers; the benefits to users of information technology and science-based innovation; the welfare effects on the general public of cultural services provided by RIs; and the willingness of taxpayers to fund scientific knowledge creation. Finally, Florio shows how these costs and benefits can be expressed in the form of stochastic net present value and other summary indicators.
This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS has been the frontrunner in cloud computing products and services, and the AWS Certified Solutions Architect Official Study Guide for the Associate exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, access to Sybex's interactive online learning environment, and much more. This official study guide, written by AWS experts, covers exam concepts, and provides key review on exam topics, including: * Mapping Multi-Tier Architectures to AWS Services, such as web/app servers, firewalls, caches and load balancers * Understanding managed RDBMS through AWS RDS (MySQL, Oracle, SQL Server, Postgres, Aurora) * Understanding Loose Coupling and Stateless Systems * Comparing Different Consistency Models in AWS Services * Understanding how AWS CloudFront can make your application more cost efficient, faster and secure * Implementing Route tables, Access Control Lists, Firewalls, NAT, and DNS * Applying AWS Security Features along with traditional Information and Application Security * Using Compute, Networking, Storage, and Database AWS services * Architecting Large Scale Distributed Systems * Understanding of Elasticity and Scalability Concepts * Understanding of Network Technologies Relating to AWS * Deploying and Managing Services with tools such as CloudFormation, OpsWorks and Elastic Beanstalk. Learn from the AWS subject-matter experts, review with proven study tools, and apply real-world scenarios. If you are looking to take the AWS Certified Solutions Architect Associate exam, this guide is what you need for comprehensive content and robust study tools that will help you gain the edge on exam day and throughout your career.
Measured by the accuracy of its predictions and the scope of its technological applications, quantum mechanics is one of the most successful theories in science--as well as one of the most misunderstood. The deeper meaning of quantum mechanics remains controversial almost a century after its invention. Providing a way past quantum theory's paradoxes and puzzles, QBism offers a strikingly new interpretation that opens up for the nonspecialist reader the profound implications of quantum mechanics for how we understand and interact with the world. Short for Quantum Bayesianism, QBism adapts many of the conventional features of quantum mechanics in light of a revised understanding of probability. Bayesian probability, unlike the standard "frequentist probability," is defined as a numerical measure of the degree of an observer's belief that a future event will occur or that a particular proposition is true. Bayesianism's advantages over frequentist probability are that it is applicable to singular events, its probability estimates can be updated based on acquisition of new information, and it can effortlessly include frequentist results. But perhaps most important, much of the weirdness associated with quantum theory--the idea that an atom can be in two places at once, or that signals can travel faster than the speed of light, or that Schrodinger's cat can be simultaneously dead and alive--dissolves under the lens of QBism. Using straightforward language without equations, Hans Christian von Baeyer clarifies the meaning of quantum mechanics in a commonsense way that suggests a new approach to physics in general.
Sciences in the 21st century are repeatedly described as data-intensive sciences. In recent years this also applies to the humanities. However, data-intensive sciences are only more than a promise if they can be modelled. To this end, data must form a representative and balanced corpus, it must be possible to formalise, visualise and re-use data. Libraries have large quantities of reliable data that can be condensed into corpora, formalised and shared. Libraries thus become an essential part of a data-intensive humanities. My talk outlines the new ways of integrating libraries into research processes in the humanities.
Gerhard Lauer is professor of Digital Humanities at the University of Basel. After studying German language and literature, philosophy, musicology and Jewish studies, he received his doctorate with a thesis on the history of science in exile and wrote his second book on the literary history of early modern Judaism. From 2002 to 2017 he taught German Philology at the University of Göttingen, since 2017 Digital Humanities in Basel. His most recent publication are "Wilhelm von Humboldt. Schriften zur Bildung" (2017), "Johann Friedrich Blumenbach. Race and Natural History 1750-1850", (2019, edited together with Nicolaas Rupke), "Lesen im digitalen Zeitalter" (in print)