This second edition of Real-Time Embedded Multithreading contains the fundamentals of developing real-time operating systems and multithreading with all the new functionality of ThreadX Version 5. ThreadX has been deployed in approximately 500 million devices worldwide. General concepts and terminology are detailed along with problem solving of common pitfalls and problems. The features and services of ThreadX are reviewed. The references to a specific processor have been removed to allow for the book to be technology agnostic and applicable to all types of microprocessors that the reader may be working with. Two e-book supplements will be available with registration of your book at www.newnespress.com, the first on ARM processors and the second, ColdFire processors.

*A great introduction to real-time systems including general concepts and terminology
*Get to know ThreadX 5, a real-time operating system, from an insider
*A limited version of the ThreadX 5 software is available to run all sample projects and the case study

Die Euphorie der 80er-Jahre rund um die künstliche Intelligenz (KI) ist gewichen, der Alltag hat Einzug gehalten. Spannend ist das Thema dennoch, ist es doch eng verknüpft mit der Erforschung des Gehirns und der menschlichen Denkweise. Zudem haben die Erkenntnisse der KI Einzug in eine Vielzahl von Anwendungen gehalten.

Uwe Lämmel und Jürgen Cleve, beide an der Hochschule Wismar die künstliche Intelligenz vertretend, haben mit dem Lehr- und Übungsbuch Künstliche Intelligenz eine kompakte Einführung in dieses doch recht komplexe Thema geschaffen. Nach einer kurzen Einführung in die Grundlagen und die Motivation geht es im zweiten Kapitel gleich um die Darstellung und Verarbeitung von Wissen. Hierbei behandeln die Autoren auch vages Wissen und die Fuzzy Logic als Teil hiervon.

Das dritte Kapitel befasst sich sehr detailiert mit Suchproblemen, einem in der Informatik oft zu findenden Thema. Weiter geht es dann mit einer Einführung in Prolog — einer Sprache, mit der ich mich während meines Studiums zugegebenermaßen schwer getan habe. In Prolog geht es um das Finden von Lösungen auf der Basis von Fakten und Regeln, auch Klauseln genannt.

Diese ersten drei Kapitel — plus der Einführung — machen mehr als die Hälfte des Buches aus. Die zweite Hälfte teilt sich in neun weitere Kapitel auf. Die Themen hier sind künstliche neuronale Netze, vorwärts verkettete neuronale Netze, partiell rückgekoppelte Netze, selbstorganisierende Karten, autoassoziative Netze, adaptive Resonanz Theorie, Wettbewerbslernen, Arbeiten mit dem Stuttgarter Neuronale Netze Simulator (SNNS) und einer Implementation neuronaler Netze in Java, was für mich sehr interessant ist.

Die Vielzahl der Kapitel zeigt, dass das Thema nicht einfach ist. Dennoch gelingt es Lämmel und Cleve sehr gut, ihr Wissen kompakt und verständlich zu vermitteln. Dabei gefallen zudem die vielen Grafiken, der klare Satz und die angenehme Gestaltung. So macht der Einstieg in die künstliche Intelligenz Spaß. —Frank Müller

Build robust and scalable iOS and Mac OS X game applicationsAbout This Book Learn to use and implement the 23 Gang of Four design patterns using Swift 2Design and architect your code for Swift application developmentUnderstand the role, generic UML design, and participants in the class diagram of the pattern by implementing them in a step-by-step approachWho This Book Is For

This book is intended for competent Swift developers who want to apply enduring design patterns with Swift to structure and scale their application code. What You Will Learn Choose the appropriate pattern depending on the problem to be solvedUnderstand the generic class diagram of each of the 23 GoF patterns and how each object participates in the patternUse Swift to implement these patterns even though the language doesn't provide all of the object-oriented programming concepts such as abstract class, interface, and so onArchitect your software to avoid the overuse of memory, time spent on calculations, or high network trafficFind the best way to organize your code to make it more secure from the outside worldPrepare your code to make it more flexible when the consumer changes or the third-party component hidden code changesStructure your code to change the algorithm to apply at runtimeDeliver Flyweight responsibility to your objectsIn Detail

Swift is a multi-paradigm language. It has expressive features familiar to those used to work with modern functional languages, while also keeping the object-oriented features of Objective-C. It remains compatible with Apple's legacy codes and frameworks. A design pattern systematically names, motivates, and explains a general design that addresses a recurring design problem in object-oriented systems. It describes the problem, the solution, when to apply the solution, and its consequences. It also gives implementation hints and examples. Knowledge about design patterns is also one of the best ways to make you different compared to other low-level developers.

This book shows you how to use Swift 2 to learn about 23 Gang of Four (GoF) design patterns, and is organized into three categories. The book will present you the five creational patterns, followed by the seven structural patterns, and finishing with the 11 behavioral patterns as defined by the GoF. Each chapter will introduce the pattern by defining its role, which common problems the pattern should be used for, its generic UML representation, how each objects presented in the class diagram participate in the pattern, and what the role of each of these objects is. The book then presents you with a concrete case as an illustration that will be used to implement the pattern using Swift. Style and approach

A step-by-step tutorial completed with screenshots and code highlights wherever necessary. Each chapter discusses one or more patterns with its definitions and a simple-to-follow illustration case using a playground or XCText project to implement it with Swift.

"Create Killer Websites Using the Power of Modern JavaScript" DHTML Utopia is an easy-to-follow, step-by-step tutorial that will show you how to make your websites more slick, dynamic, and usable.

Add dynamic interactivity to your website with DHTML by combining the power of JavaScript, Cascading Style Sheets(CSS), and the Document Object Model (DOM) to achieve bulletproof, accessible, standards-compliant, and aesthetically pleasing results that work on all browsers.

Build fancy DHTML effects that can be instantly reused in any projectLearn to code accessible JavaScript that won't trouble older browsersMake search engine friendly, multi-level, drop-down navigation menusCreate usable forms that auto-complete, just like "Google Suggest"Build dynamic web applications using remote scripting techniques/Ajax

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.

From the reviews:

Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended.
F. H. Wild III, Choice, Vol. 47 (8), April 2010

Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” 
John D. Cook, The Mathematical Association of America, September 2011

This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.
Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012

Key Features Harness the power of R for statistical computing and data scienceExplore, forecast, and classify data with RUse R to apply common machine learning algorithms to real-world scenariosBook Description

Machine learning, at its core, is concerned with transforming data into actionable knowledge. This makes machine learning well suited to the present-day era of big data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. Whether you are new to data analytics or a veteran, machine learning with R offers a powerful set of methods to quickly and easily gain insights from your data.

Want to turn your data into actionable knowledge, predict outcomes that make real impact, and have constantly developing insights? R gives you access to the cutting-edge power you need to master exceptional machine learning techniques.

Updated and upgraded to the latest libraries and most modern thinking, the second edition of Machine Learning with R provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.

With this book you’ll discover all the analytical tools you need to gain insights from complex data and learn how to to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you’ll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. Transform the way you think about data; discover machine learning with R. What you will learn Harness the power of R to build common machine learning algorithms with real-world data science applicationsGet to grips with R techniques to clean and prepare your data for analysis, and visualize your resultsDiscover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problemsClassify your data with Bayesian and nearest neighbour methodsPredict values by using R to build decision trees, rules, and support vector machinesForecast numeric values with linear regression, and model your data with neural networksEvaluate and improve the performance of machine learning modelsLearn specialized machine learning techniques for text mining, social network data, big data, and moreAbout the Author

Brett Lantz has used innovative data methods to understand human behavior for more than 10 years. A sociologist by training, he was first enchanted by machine learning while studying a large database of teenagers' social networking website profiles. Since then, he has worked on the interdisciplinary studies of cellular telephone calls, medical billing data, and philanthropic activity, among others. Table of Contents Introducing Machine LearningManaging and Understanding DataLazy Learning – Classification Using Nearest NeighborsProbabilistic Learning – Classification Using Naive BayesDivide and Conquer – Classification Using Decision Trees and RulesForecasting Numeric Data – Regression MethodsBlack Box Methods – Neural Networks and Support Vector MachinesFinding Patterns – Market Basket Analysis Using Association RulesFinding Groups of Data – Clustering with K-meansEvaluating Model PerformanceImproving Model PerformanceSpecialized Machine Learning Topics

Using the free open-source Blender software, anyone can design models for 3D printing. Fantastic fun and a great experience whether or not you have a 3D printer, this book is a crash course in the new technology.

OverviewDesign 3D models that will print successfully using Blender, a free 3D modelling programCustomize, edit, repair, and then share your creations on Makerbot’s Thingiverse websiteEasy-to-follow guide on 3D printing; learn to create a new model at the end of each chapter

In Detail

A new industrial age is here. Machines designed to build useful and interesting objects have moved from the factory to the home. Whether you have a 3D printer or not, learning how to design your first 3D models is the best way to become part of the 3D printing movement.

3D Printing Blueprints will teach you, step by step, the tools and techniques of using Blender, a free 3D modelling program, to build 3D models for printing with simple and fun hands-on projects.

3D Printing Blueprints uses engaging and fun projects that teach Blender modeling for 3D printing through hands-on lessons. First you’ll learn basic modeling and make a small simple object. Then each new project brings with it new tools and techniques as well as teaching the rules of 3D printing design. Eventually you’ll be building objects designed to repair or replace everyday objects. Finally you’ll be able to even tackle other people’s models and fix them to be 3D printable.

Through the course of doing the blueprints you will custom build one-of-a-kind objects that you can call your own. Starting from a custom vase formed from a picture, lessons will progress to a multi-part modular robot toy. Then simple machines will be designed with custom gears and functions. Eventually you’ll learn how to download models from the Internet and make custom objects. Finally you’ll be able to build models with near real life specifications and make a print that can be used for small object repair.

3D Printing Blueprints will teach you everything you need to know about building custom 3D models to print successfully on modern home 3D printers.

What you will learn from this bookUse the rules of Y, H, and T to guide your designsBuild 3D objects from simple shapesEdit shapes using modifiers and directly modify their geometryBuild objects to real-life specificationsMake interconnecting partsBuild machines that will perform simple tasksLearn about sculpting tools that will allow for the creation of organic shapesReproduce the shape of real-life objects in the virtual space accuratelyRepair downloaded 3D models that may not be ready to printEdit the settings on your 3D printer to make cool print effects

Approach

"3D Printing Blueprints" is not about how to just make a ball or a cup. It includes fun-to-make and engaging projects. Readers don't need to be 3D printing experts, as there are examples related to stuff people would enjoy making.

Who this book is written for

"3D Printing Blueprints" is for anyone with an interest in the 3D printing revolution and the slightest bit of computer skills. Whether you own a 3D printer or not you can design for them. All it takes is Blender, a free 3D modeling tool. Couple this book with a little creativity and someday you’ll be able to hold something you designed on the computer in your hands.

Does the year 2000 have you sweating late-night code? Use our complete library of C programming functions to master Y2K, time on the Net, ISO 8601, time stamp compression, or any other time/date application you encounter. Using the astronomers Julian Day'

Programming functions to help you master 'Y2K', time on the net, ISO 8601, time stamp compression, or any other time/date application you encounter.

The Objective-C programming language continues to grow in popularity and usage because of the power and ease-of-use of the language itself, along with the numerous features that continue to be added to the platform.  If you have a basic knowledge of the language and want to further your expertise, Pro Objective-C is the book for you.

Pro Objective-C provides an in-depth, comprehensive guide to the language, its runtime, and key API’s. It explains the key concepts of Objective-C in a clear, easy to understand manner, and also provides detailed coverage of its more complex features. In addition, the book includes numerous practical examples—code excerpts and complete applications—that demonstrate how to apply in code what you’re learning.

The book begins with an exploration of Objective-C's basic features and key language elements. After reviewing the basics, it proceeds with an in-depth examination of the Objective-C dynamic programming features and runtime system. Next the book covers the Foundation Framework, the base layer of APIs that can be used for any Objective-C program. Finally, new and advanced features of Objective-C are introduced and shown how they make the Objective-C language even more powerful and expressive.

Each topic is covered thoroughly and is packed with the details you need to develop Objective-C code effectively. The most important features are given in-depth treatment, and each chapter contains numerous examples that demonstrate both the power and the subtlety of Objective-C.

Start reading Pro Objective-C and begin developing high-quality, professional apps on the OS X and iOS platforms using the Objective-C programming language!
What you’ll learn Objective-C fundamentals and key language elementsObjective-C runtime systemFoundation Framework APIsObjective-C advanced language featuresXcode EssentialsDebugging with LLDBWho this book is for

This book is geared towards intermediate to advanced developers who already have some Objective-C experience and want pro-level coverage of the language, including advanced Objective-C features, recent additions to the language, and practical usage of its core frameworks and APIs. It's also great for those developers not familiar with Objective-C that have done some C programming and also understand object-oriented programming concepts.

Table of Contents Getting StartedUsing ClassesObjects and MessagingMemory ManagementThe PreprocessorExpert Section - Using ARCRuntime SystemRuntime ArchitectureExpert Section - Using the Runtime APIsFoundation Framework General Purpose ClassesFoundation Framework System ServicesFoundation Framework Specialized ServicesFoundation Functions and Data TypesExpert Section - Error HandlingBlocksObjective-C LiteralsConcurrent ProgrammingKey-Value ProgrammingAppendix A: Language ElementsAppendix B: Xcode Xposed!Appendix C: Using LLDB

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.

Want to learn all about Ruby on Rails, the web application framework that is inspiring developers around the world?

This practical hands-on guide for first-time Ruby on Rails programmers will walk you through installing the required software on a Windows, Mac or Linux computer. And before you get coding, an entire chapter is devoted to object oriented programming in Ruby, so you'll be completely confident with the Ruby language before you begin working with Rails.

The example application that the book builds - a user-generated news web site - is built upon with each following chapter, and concepts such as sessions, cookies and basic AJAX usage are gradually introduced. Different aspects of Rails, such as ActiveRecord, migrations and automated testing are explored with each feature that is added to the application.

The book finishes with chapters on debugging, benchmarking and deployment to a live web server.

By the end of the book, you'll have built a fully-featured Web 2.0 application and deployed it to the Web. And all code is up-to-date for Rails 1.2, so you can begin coding immediately with the latest version of Rails.