Vehicle Powertrain Systems. Integration and Optimization
Автор: Mashadi Behrooz
Год издания: 0000
The powertrain is at the heart of vehicle design; the engine – whether it is a conventional, hybrid or electric design – provides the motive power, which is then managed and controlled through the transmission and final drive components. The overall powertrain system therefore defines the dynamic performance and character of the vehicle. The design of the powertrain has conventionally been tackled by analyzing each of the subsystems individually and the individual components, for example, engine, transmission and driveline have received considerable attention in textbooks over the past decades. The key theme of this book is to take a systems approach – to look at the integration of the components so that the whole powertrain system meets the demands of overall energy efficiency and good drivability. Vehicle Powertrain Systems provides a thorough description and analysis of all the powertrain components and then treats them together so that the overall performance of the vehicle can be understood and calculated. The text is well supported by practical problems and worked examples. Extensive use is made of the MATLAB(R) software and many example programmes for vehicle calculations are provided in the text. Key features: Structured approach to explaining the fundamentals of powertrain engineering Integration of powertrain components into overall vehicle design Emphasis on practical vehicle design issues Extensive use of practical problems and worked examples Provision of MATLAB(R) programmes for the reader to use in vehicle performance calculations This comprehensive and integrated analysis of vehicle powertrain engineering provides an invaluable resource for undergraduate and postgraduate automotive engineering students and is a useful reference for practicing engineers in the vehicle industry
Building Algorithmic Trading Systems. A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading
Автор: Kevin Davey
Год издания:
Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns. With both explanation and demonstration, Davey guides you step-by-step through the entire process of generating and validating an idea, setting entry and exit points, testing systems, and implementing them in live trading. You'll find concrete rules for increasing or decreasing allocation to a system, and rules for when to abandon one. The companion website includes Davey's own Monte Carlo simulator and other tools that will enable you to automate and test your own trading ideas. A purely discretionary approach to trading generally breaks down over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading system—enough that algorithmic trades now account for the bulk of stock trading volume. Building Algorithmic Trading Systems teaches you how to develop your own systems with an eye toward market fluctuations and the impermanence of even the most effective algorithm. Learn the systems that generated triple-digit returns in the World Cup Trading Championship Develop an algorithmic approach for any trading idea using off-the-shelf software or popular platforms Test your new system using historical and current market data Mine market data for statistical tendencies that may form the basis of a new system Market patterns change, and so do system results. Past performance isn't a guarantee of future success, so the key is to continually develop new systems and adjust established systems in response to evolving statistical tendencies. For individual traders looking for the next leap forward, Building Algorithmic Trading Systems provides expert guidance and practical advice.
Search Engine Optimization All-in-One For Dummies
Автор: Bruce Clay
Год издания:
The most comprehensive coverage of search engine optimization In Search Engine Optimization All-in-One For Dummies, 3rd Edition, Bruce Clay—whose search engine consultancy predates Google—shares everything you need to know about SEO. In minibooks that cover the entire topic, you'll discover how search engines work, how to apply effective keyword strategies, ways to use SEO to position yourself competitively, the latest on international SEO practices, and more. If SEO makes your head spin, this no-nonsense guide makes it easier. You'll get the lowdown on how to use search engine optimization to improve the quality and volume of traffic on your website via search engine results. Cutting through technical jargon, it gets you up to speed quickly on how to use SEO to get your website in the top of the rankings, target different kinds of searches, and win more industry-specific vertical search engine results! Includes new and updated material, featuring the latest on Bing!, Google instant search, image search, and much more Covers SEO and optimizing servers for SEO Provides important information on SEO web design Shows you how to use SEO to stay «above the fold» If you're a website owner, developer, marketer, or SEO consultant, Search Engine Optimization All-in-One For Dummies, Third Edition is the only resource you need to beat the competition.
Financial Institution Advantage and the Optimization of Information Processing
Автор: Sean C. Keenan
Год издания:
A PROVEN APPROACH FOR CREATING and IMPLEMENTING EFFECTIVE GOVERNANCE for DATA and ANALYTICS Financial Institution Advantage and the Optimization of Information Processing offers a key resource for understanding and implementing effective data governance practices and data modeling within financial organizations. Sean Keenan—a noted expert on the topic—outlines the strategic core competencies, includes best practices, and suggests a set of mechanisms for self-evaluation. He shows what it takes for an institution to evaluate its information processing capability and how to take the practical steps toward improving it. Keenan outlines the strategies and tools needed for financial institutions to take charge and make the much-needed decisions to ensure that their firm's information processing assets are effectively designed, deployed, and utilized to meet the strict regulatory guidelines. This important resource is filled with practical observations about how information assets can be actively and effectively managed to create competitive advantage and improved financial results. Financial Institution Advantage and the Optimization of Information Processing also includes a survey of case studies that highlight both the positive and less positive results that have stemmed from institutions either recognizing or failing to recognize the strategic importance of information processing capabilities.
Marketplace Lending, Financial Analysis, and the Future of Credit. Integration, Profitability, and Risk Management
Автор: Ioannis Akkizidis
Год издания:
The time for financial technology innovation is now Marketplace Lending, Financial Analysis, and the Future of Credit clearly explains why financial credit institutions need to further innovate within the financial technology arena. Through this text, you access a framework for applying innovative strategies in credit services. Provided and supported by financial institutions and entrepreneurs, the information in this engaging book encompasses printed guidance and digital ancillaries. Peer-to-peer lenders are steadily growing within the financial market. Integrating peer-to-peer lending into established credit institutions could strengthen the financial sector as a whole, and could lead to the incorporation of stronger risk and profitability management strategies. Explain (or Explore) approaches and challenges in financial analysis applied to credit risk and profitability Explore additional information provided via digital ancillaries, which will further support your understanding and application of key concepts Navigate the information organised into three subject areas: describing a new business model, knowledge integration, and proposing a new model for the Hybrid Financial Sector Understand how the rise of fintech fits into context within the current financial system Follow discussion of the current status quo and role of innovation in the financial industry, and consider the financial technology innovation landscape from the perspective of an entrepreneur Marketplace Lending, Financial Analysis, and the Future of Credit is a critical text that bridges the gap in understanding between financial technology entrepreneurs and credit institutions.