In order to properly understand a field, a researcher has to first understand the accumulated knowledge of that field. Micro-architectural design has accumulated knowledge elements that are clearly defined. These elements, such as design patterns, are properly differentiated and generally understood, but other elements - such as heuristics, best practices, and others - are just vague concepts. ""Object-Oriented Design Knowledge: Principles, Heuristics and Best Practices"" provides a unified and global vision about the lesser-defined areas of microarchitectural design knowledge, exposing the main techniques, experiences, and methods in order to help researchers apply these concepts. Understanding the experiences presented in this book will help readers correctly apply design knowledge.

The book highlights three types of technologies being developed for autonomous solution of navigation problems. These technologies are based on the polarization structure, ultra-broadband and the fluctuation characteristics (slow and fast) of the radiolocation signals. The book presents the problems of intrinsic thermal radio emission polarization and change in radio waves polarization when they are reflected from objects with non-linear properties. The purpose of this book is to develop the foundations for creating autonomous radionavigation systems to provide aviation with navigation systems that will substantially increase its capabilities, specifically acting where satellite technologies do not work. The book is intended for specialists involved in the development and operation of aviation-technical complexes, as well as for specialists of national aviation regulators and ICAO experts dealing with the problems of improving flight safety.

More software engineers are likely to work in a globally distributed environment, which brings benefits that include quick and better software development, less manpower retention, scalability, and less software development cost and sharing of knowledge from the global pool of employees. However, these work environments also introduce a physical separation between team members and project leaders, which can create problems in communication and ultimately lead to the failure of the project. Human Factors in Global Software Engineering is a collection of innovative research focusing on the challenges, issues, and importance of human factors in global software engineering organizations in order to help these organizations better manage their manpower and provide an appropriate culture and technology in order to make their software development projects successful. While highlighting topics including agile software, knowledge management, and human-computer interaction, this book is ideally designed for project managers, administrators, business professionals, researchers, practitioners, students, and academicians.

Software Quality Control, Error, Analysis

The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of natural computing with emphasis on its main branches.

Agent-Oriented Methodologies presents, analyzes and compares the most significant methodological approaches currently available for the creation of agent-oriented software systems. The chapters of this book each address the details of one specific agent-oriented methodology, written by the original methodology creators. They highlight the methodology details and also the strengths and motivation. Each chapter also notes any purposeful omissions and weaknesses and each ends with a small case study to exemplify the application of the methodological approach. Agent-Oriented Methodologies offers the use of a method engineering approach based on the OPEN Process Framework (OPF) to bring together these potentially disparate methodological approaches to sustain the methodology developers and researchers use in creating a more holistic approach that will be suitable for adoption by industry software developers.

With the emergence of the Java 3D API, the creation of high quality 3D animated graphics for Java applications and applets becomes a possibility. With numerous aspects of the business, science, medical, and educational fields implementing this technology, the need for familiarity of Java 3D amplifies.""Interactive Web-Based Virtual Reality with Java 3D"" provides both advanced and novice programmers with comprehensive, detailed coverage of all of the important issues in Java 3D. This essential book delivers illustrations of essential keywords, syntax, and methods to provide an easy-to-read learning experience for the reader.

Technology and the Internet have brought about numerous changes in the field of politics. Understanding the effects of social media, blogs, and evolving new sites in politics is becoming a crucial aspect in this field for researchers and practitioners. Political Activism in the Information Age offers a better understanding of methods for political activism in the information age, the effectiveness of these methods, and tools for analysing them. This book presents an array of real-world political issues and how they relate to the ever-expanding realm of information. The publication will benefit researchers, politicians, public policy analysts, political scientists, students, and anyone involved in the field of politics.

"Contemporary Issues in Database Design and Information" presents the latest research ideas and topics on databases and software development. The chapters in this innovative publication provide a representation of topnotch research in all areas of the database and information systems development.

The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

In an embedded system, firmware is the software that directly interfaces with the microcontroller, controlling the system s function. The major forces driving the embedded firmware development process today are reduced development times, increased complexity, and the need to handle multiple tasks simultaneously. These forces translate into strenuous design requirements for embedded engineers and programmers. Many low-level embedded microcontroller designs have insufficient memory and/or architectural limitations that make the use of a real-time operating system impractical. The techniques presented in this book allow the design of robust multitasking firmware through the use of interleaved state machines. This book presents a complete overview of multitasking terminology and basic concepts. Practical criteria for task selection and state machine design are also discussed.
Designing multitasking firmware is arduous, complex and fraught with potential for errors, and there is no one, standard way to do it. This book will present a complete and well-organized design approach with examples and sample source code that designers can follow.
* Covers every aspect of design from the system level to the component level, including system timing, communicating with the hardware, integration and testing.
* Accompanying companion website contains the source code for the text examples and other useful design tools."

Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key Features A no-math, code-driven programmer's guide to text processing and NLP Get state of the art results with modern tooling across linguistics, text vectors and machine learning Fundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorch Book DescriptionNLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. We use text embedding for both clustering documents and making chatbots, and then build classifiers using scikit-learn. We conclude by deploying these models as REST APIs with Flask. By the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges. What you will learn Understand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpus Work with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clustering Deep Learning in NLP using PyTorch with a code-driven introduction to PyTorch Using an NLP project management Framework for estimating timelines and organizing your project into stages Hack and build a simple chatbot application in 30 minutes Deploy an NLP or machine learning application using Flask as RESTFUL APIs Who this book is forProgrammers who wish to build systems that can interpret language. Exposure to Python programming is required. Familiarity with NLP or machine learning vocabulary will be helpful, but not mandatory.

This book is about software piracy--what it is and how it's done. Stealing software is not to be condoned, and theft of intellectual property and copyright infringement are serious matters, but it's totally unrealistic to pretend that it doesn't happen. Software piracy has reached epidemic proportions. Many computer users know this, the software companies know this, and once you've read the Introduction to this book, you'll understand why. Seeing how widespread software piracy is, learning how it's accomplished, and particularly how incredibly easy it is to do might surprise you. This book describes how software piracy is actually being carried out.
* This book is about software piracy--what it is and how it's done
* This is the first book ever to describe how software is actually stolen and traded over the internet
* Discusses security implications resulting from over 1/2 of the internet's computers running illegal, unpatched, pirated software

A groundbreaking, flexible approach to computer science anddata science The Deitels' Introduction to Python for ComputerScience and Data Science: Learning to Program with AI, Big Data and the Cloudoffers a unique approach to teaching introductory Python programming,appropriate for both computer-science and data-science audiences. Providing themost current coverage of topics and applications, the book is paired withextensive traditional supplements as well as Jupyter Notebooks supplements.Real-world datasets and artificial-intelligence technologies allow students towork on projects making a difference in business, industry, government andacademia. Hundreds of examples, exercises, projects (EEPs) and implementationcase studies give students an engaging, challenging and entertainingintroduction to Python programming and hands-on data science. The book's modular architecture enables instructors toconveniently adapt the text to a wide range of computer-science anddata-science courses offered to audiences drawn from many majors.Computer-science instructors can integrate as much or as little data-scienceand artificial-intelligence topics as they'd like, and data-science instructorscan integrate as much or as little Python as they'd like. The book aligns withthe latest ACM/IEEE CS-and-related computing curriculum initiatives and withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation.

XML has become the lingua franca for representing business data, for exchanging information between business partners and applications, and for adding structure
and sometimes meaning to text-based documents. XML offers some special challenges and opportunities in the area of search: querying XML can produce very precise, fine-grained results, if you know how to express and execute those queries.
For software developers and systems architects: this book teaches the most useful approaches to querying XML documents and repositories. This book will also help managers and project leaders grasp how querying XML fits into the larger context of querying and XML. Querying XML provides a comprehensive background from fundamental concepts (What is XML?) to data models (the Infoset, PSVI, XQuery Data Model), to APIs (querying XML from SQL or Java) and more.
* Presents the concepts clearly, and demonstrates them with illustrations and examples; offers a thorough mastery of the subject area in a single book.
* Provides comprehensive coverage of XML query languages, and the concepts needed to understand them completely (such as the XQuery Data Model).
* Shows how to query XML documents and data using: XPath (the XML Path Language); XQuery, soon to be the new W3C Recommendation for querying XML; XQuery's companion XQueryX; and SQL, featuring the SQL/XML
* Includes an extensive set of XQuery, XPath, SQL, Java, and other examples, with links to downloadable code and data samples."