Everything changed in the Sixties, not least music. At the heart of this mesmerizing decade was the electric guitar. Bent, distorted, reverbed and overloaded, its sound drove some of the most revolutionary music ever made. This colorful book, decked out with 340 color photos and four fold-out spreads, traces the guitars, players and music of the '60s year by year - from folk-rock to surf to psychedelia, plus jazz, blues and country. A special section features The Beatles and their influential axes.
AN AMAZON BEST BOOK OF 2021 'Delightful' Ed Yong What's to be done about a drunken elephant? A monkey caught mugging passers-by? A trespassing squirrel? Follow Mary Roach as she investigates laser scarecrows, robo-hawks, human-elephant conflict specialists and monkey impersonators. Travel to the bear-busy back alleys of Aspen, the gull-vandalized floral displays at the Vatican and leopard-terrorized hamlets in the Himalayas. In this fresh, funny and thoroughly researched book, dive into the weird and wonderful moments when humanity and wildlife bump up against one another.
BUILDING SECURE CARS Explores how the automotive industry can address the increased risks of cyberattacks and incorporate security into the software development lifecycle While increased connectivity and advanced software-based automotive systems provide tremendous benefits and improved user experiences, they also make the modern vehicle highly susceptible to cybersecurity attacks. In response, the automotive industry is investing heavily in establishing cybersecurity engineering processes. Written by a seasoned automotive security expert with abundant international industry expertise, Building Secure Cars: Assuring the Automotive Software Development Lifecycle introduces readers to various types of cybersecurity activities, measures, and solutions that can be applied at each stage in the typical automotive development process. This book aims to assist auto industry insiders build more secure cars by incorporating key security measures into their software development lifecycle. Readers will learn to better understand common problems and pitfalls in the development process that lead to security vulnerabilities. To overcome such challenges, this book details how to apply and optimize various automated solutions, which allow software development and test teams to identify and fix vulnerabilities in their products quickly and efficiently. This book balances technical solutions with automotive technologies, making implementation practical. Building Secure Cars is: One of the first books to explain how the automotive industry can address the increased risks of cyberattacks, and how to incorporate security into the software development lifecycle An optimal resource to help improve software security with relevant organizational workflows and technical solutions A complete guide that covers introductory information to more advanced and practical topics Written by an established professional working at the heart of the automotive industry Fully illustrated with tables and visuals, plus real-life problems and suggested solutions to enhance the learning experience This book is written for software development process owners, security policy owners, software developers and engineers, and cybersecurity teams in the automotive industry. All readers will be empowered to improve their organizations’ security postures by understanding and applying the practical technologies and solutions inside.
A book-length selection from Kevin Killian's legendary corpus of more than two thousand product reviews posted on Amazon.com. An enchanting roll of duct tape. Love Actually on Blu-ray Disc. The Toaster Oven Cookbook, The Biography of Stevie Nicks, and an anthology of poets who died of AIDS. In this only book-length selection from his legendary corpus of more than two thousand product reviews posted on Amazon.com, sagacious shopper Kevin Killian holds forth on these household essentials and many, many, many others. The beloved author of more than a dozen volumes of innovative poetry, fiction, drama, and scholarship, Killian was for decades a charismatic participant in San Francisco’s New Narrative writing circle. From 2003–2019, he was also one of Amazon’s most prolific reviewers, rising to rarefied “Top 100” and “Hall of Fame” status on the site. Alternately hilarious and heartfelt, Killian’s commentaries consider an incredible variety of items, each review a literary escapade hidden in plain sight amongst the retailer’s endless pages of user-generated content. Selected Amazon Reviews at last gathers an appropriately wide swath of this material between two covers, revealing the project to be a unified whole and always more than a lark. Some for “verified purchases,” others for products enjoyed in theory, Killian’s reviews draw on the influential strategies of New Narrative, his unrivaled fandom for both elevated and popular culture, and the fine art of fabulation. Many of them are ingeniously funny—flash-fictional riffs on the commodity as talismanic object, written by a cast of personas worthy of Pessoa. And many others are serious, even scholarly—earnest tributes to contemporaries, and to small-press books that may not have received attention elsewhere, offered with exemplary attention. All of Killian’s reviews subvert the Amazon platform, queering it to his own play with language, identity, genre, critique. Killian’s prose is a consistent pleasure throughout Selected Amazon Reviews, brimming with wit, lyricism, and true affection. As the Hall of Famer himself reflected on this form-of-his-own-invention shortly before his untimely passing in 2019: “They’re reviews of a sort, but they also seem like novels. They’re poems. They’re essays about life. I get a lot of my kinks out there, on Amazon.”
Most real physical systems are nonlinear in nature. Control and?ltering of nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system's parameters are - certain. A common approach to designing a controller/?lter for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller/?lter. This approach is successful when the operating point of the system is restricted to a certain region. H- ever, when a wide range operation of the system is required, this method may fail. ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy? controllers and robustH fuzzy?lters for a class of uncertain fuzzy systems? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly perturbed systems (UFSPSs) and uncertain fuzzy singularly p- turbed systems with Markovian jumps (UFSPS-MJs). These new meth- ologies provide a framework for designing robustH fuzzy controllers and? robustH fuzzy?lters for these classes of systems based on a Tagaki-Sugeno? (TS) fuzzy model. Solutions to the design problems are presented in terms of linear matrix inequalities (LMIs). To investigate the design problems, we?rst describe a class of uncertain nonlinear systems (UNSs), uncertain nonlinear Markovianjumpsystems(UNMJSs), uncertainnonlinearsingularlyperturbed systems(UNSPSs)anduncertainnonlinearsingularlyperturbedsystemswith Markovian jumps (UNSPS-MJs) by a TS fuzzy system with parametric - certainties and with/without Markovian jumps. Then, based on an LMI - proach, we develop a technique for designing robustH fuzzy controllers and? robustH fuzzy?lters such that a given prescribed performance index is? guaranteed.
Information retrieval used to mean looking through thousands of strings of texts to find words or symbols that matched a user's query. Today, there are many models that help index and search more effectively so retrieval takes a lot less time. Information retrieval (IR) is often seen as a subfield of computer science and shares some modeling, applications, storage applications and techniques, as do other disciplines like artificial intelligence, database management, and parallel computing. This book introduces the topic of IR and how it differs from other computer science disciplines. A discussion of the history of modern IR is briefly presented, and the notation of IR as used in this book is defined. The complex notation of relevance is discussed. Some applications of IR is noted as well since IR has many practical uses today. Using information retrieval with fuzzy logic to search for software terms can help find software components and ultimately help increase the reuse of software. This is just one practical application of IR that is covered in this book. Some of the classical models of IR is presented as a contrast to extending the Boolean model. This includes a brief mention of the source of weights for the various models. In a typical retrieval environment, answers are either yes or no, i.e., on or off. On the other hand, fuzzy logic can bring in a "degree of" match, vs. a crisp, i.e., strict match. This, too, is looked at and explored in much detail, showing how it can be applied to information retrieval. Fuzzy logic is often times considered a soft computing application and this book explores how IR with fuzzy logic and its membership functions as weights can help indexing, querying, and matching. Since fuzzy set theory and logic is explored in IR systems, the explanation of where the fuzz is ensues. The concept of relevance feedback, including pseudorelevance feedback is explored for the various models of IR. For the extended Boolean model, the use of genetic algorithms for relevance feedback is delved into. The concept of query expansion is explored using rough set theory. Various term relationships is modeled and presented, and the model extended for fuzzy retrieval. An example using the UMLS terms is also presented. The model is also extended for term relationships beyond synonyms. Finally, this book looks at clustering, both crisp and fuzzy, to see how that can improve retrieval performance. An example is presented to illustrate the concepts.
Intelligent Mobile Robot Navigation builds upon the application of fuzzy logic to the area of intelligent control of mobile robots. Reactive, planned, and teleoperated techniques are considered, leading to the development of novel fuzzy control systems for perception and navigation of nonholonomic autonomous vehicles. The unique feature of this monograph lies in its comprehensive treatment of the problem, from the theoretical development of the various schemes down to the real-time implementation of algorithms on mobile robot prototypes. As such, the book spans different domains ranging from mobile robots to intelligent transportation systems, from automatic control to artificial intelligence.
This book presents recent research on the stability analysis of polynomial-fuzzy-model-based control systems where the concept of partially/imperfectly matched premises and membership-function dependent analysis are considered. The membership-function-dependent analysis offers a new research direction for fuzzy-model-based control systems by taking into account the characteristic and information of the membership functions in the stability analysis. The book presents on a research level the most recent and advanced research results, promotes the research of polynomial-fuzzy-model-based control systems, and provides theoretical support and point a research direction to postgraduate students and fellow researchers. Each chapter provides numerical examples to verify the analysis results, demonstrate the effectiveness of the proposed polynomial fuzzy control schemes, and explain the design procedure. The book is comprehensively written enclosing detailed derivation steps and mathematical derivations also for readers without extensive knowledge on the topics including students with control background who are interested in polynomial fuzzy model-based control systems.
