Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.
This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks.

Features

Embedded systems have long become essential in application areas in which human control is impossible or infeasible. The development of modern embedded systems is becoming increasingly difficult and challenging because of their overall system complexity, their tighter and cross-functional integration, the increasing requirements concerning safety and real-time behavior, and the need to reduce development and operation costs. This book provides a comprehensive overview of the Software Platform Embedded Systems (SPES) modeling framework and demonstrates its applicability in embedded system development in various industry domains such as automation, automotive, avionics, energy, and healthcare. In SPES 2020, twenty-one partners from academia and industry have joined forces in order to develop and evaluate in different industrial domains a modeling framework that reflects the current state of the art in embedded systems engineering. The content of this book is structured in four parts. Part I "Starting Point" discusses the status quo of embedded systems development and model-based engineering, and summarizes the key requirements faced when developing embedded systems in different application domains. Part II "The SPES Modeling Framework" describes the SPES modeling framework. Part III "Application and Evaluation of the SPES Modeling Framework" reports on the validation steps taken to ensure that the framework met the requirements discussed in Part I. Finally, Part IV "Impact of the SPES Modeling Framework" summarizes the results achieved and provides an outlook on future work. The book is mainly aimed at professionals and practitioners who deal with the development of embedded systems on a daily basis. Researchers in academia and industry may use it as a compendium for the requirements and state-of-the-art solution concepts for embedded systems development.

Managers, business owners, computer-literate individuals and software developers alike are all seeking an understanding of artificial intelligence (AI) and wondering what its uses might be. In this discussion, the author explains what artificial intelligence can do and cannot do, and what benefits it holds for applications such as banking financial services, and expert systems of all kinds. Topics include: the strengths and weaknesses of software development and engineering; the promises and problems of machine learning; expert systems and success stories; practical software through artificial intelligence; artificial intelligence and conventional software engineering problems; software engineering methodology; new paradigms for system engineering; what the future holds.

This monograph discusses software reuse and how it can be applied at different stages of the software development process, on different types of data and at different levels of granularity. Several challenging hypotheses are analyzed and confronted using novel data-driven methodologies, in order to solve problems in requirements elicitation and specification extraction, software design and implementation, as well as software quality assurance. The book is accompanied by a number of tools, libraries and working prototypes in order to practically illustrate how the phases of the software engineering life cycle can benefit from unlocking the potential of data. Software engineering researchers, experts, and practitioners can benefit from the various methodologies presented and can better understand how knowledge extracted from software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effort through software reuse. Mining Software Engineering Data for Software Reuse can also prove handy for graduate-level students in software engineering.

The three-volume set IFIP AICT 368-370 constitutes the refereed post-conference proceedings of the 5th IFIP TC 5, SIG 5.1 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2011, held in Beijing, China, in October 2011. The 189 revised papers presented were carefully selected from numerous submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including simulation models and decision-support systems for agricultural production, agricultural product quality testing, traceability and e-commerce technology, the application of information and communication technology in agriculture, and universal information service technology and service systems development in rural areas. The 62 papers included in the first volume focus on decision support systems, intelligent systems, and artificial intelligence applications.

As Cavalli and Sarma astutely remarked in the introduction to this volume, it is quite remarkable that SDL '97 may have the first participant younger than SDL itself. SDL '97 provides the opportunity to reflect the course SDL has taken and why it has been successful over two decades where other languages addressing the same market have failed.

SDL now also has a permanent companion in MSC (Message Sequence Charts). MSC today is a language in its own right and has its areas of application both in conjunction with SDL and independently or in combination with other techniques. MSC has strong structuring concepts to specify message sequences for large systems and can be used to develop scenarios, which is extremely useful for test and design environments. The SDL Forum today really is the SDL and MSC Forum.

This book presents the latest research on the software crowdsourcing approach to develop large and complex software in a cloud-based platform. It develops the fundamental principles, management organization and processes, and a cloud-based infrastructure to support this new software development approach. The book examines a variety of issues in software crowdsourcing processes, including software quality, costs, diversity of solutions, and the competitive nature of crowdsourcing processes. Furthermore, the book outlines a research roadmap of this emerging field, including all the key technology and management issues for the foreseeable future. Crowdsourcing, as demonstrated by Wikipedia and Facebook for online web applications, has shown promising results for a variety of applications, including healthcare, business, gold mining exploration, education, and software development. Software crowdsourcing is emerging as a promising solution to designing, developing and maintaining software. Preliminary software crowdsourcing practices and platforms, including Apple's App Store and TopCoder, demonstrate the advantages of crowdsourcing in terms of software ecosystem expansion and product quality improvement.

Systems Engineering Guidebook: A Process for Developing Systems and Products is intended to provide readers with a guide to understanding and becoming familiar with the systems engineering process, its application, and its value to the successful implementation of systems development projects. The book describes the systems engineering process as a multidisciplinary effort. The process is defined in terms of specific tasks to be accomplished, with great emphasis placed on defining the problem that is being addressed prior to designing the solution.

Developing a large-scale software system in C++ requires more than just a sound understanding of the logical design issues covered in most books on C++ programming. To be successful, you will also need a grasp of physical design concepts that, while closely tied to the technical aspects of development, include a dimension with which even expert software developers may have little or no experience.

This is the definitive book for all C++ software professionals involved in large development efforts such as databases, operating systems, compilers, and frameworks. It is the first C++ book that actually demonstrates how to design large systems, and one of the few books on object-oriented design specifically geared to practical aspects of the C++ programming language.

In this book, Lakos explains the process of decomposing large systems into physical (not inheritance) hierarchies of smaller, more manageable components. Such systems with their acyclic physical dependencies are fundamentally easier and more economical to maintain, test, and reuse than tightly interdependent systems. In addition to explaining the motivation for following good physical as well as logical design practices, Lakos provides you with a catalog of specific techniques designed to eliminate cyclic, compile-time, and link-time (physical) dependencies. He then extends these concepts from large to very large systems. The book concludes with a comprehensive top-down approach to the logical design of individual components. Appendices include a valuable design pattern "Protocol Hierarchy" designed to avoid fat interfaces while minimizing physical dependencies; the details of implementing an ANSI C compatible C++procedural interface; and a complete specification for a suite of UNIX-like tools to extract and analyze physical dependencies. Practical design rules, guidelines, and principles are also collected in an appendix and indexed for quick reference.
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This innovative book recognizes the need within the object-oriented community for a book that goes beyond the tools and techniques of the typical methodology book. In Analysis Patterns: Reusable Object Models, Martin Fowler focuses on the end result of object-oriented analysis and design-the models themselves. He shares with you his wealth of object modeling experience and his keen eye for identifying repeating problems and transforming them into reusable models. Analysis Patterns provides a catalogue of patterns that have emerged in a wide range of domains including trading, measurement, accounting and organizational relationships. Recognizing that conceptual patterns cannot exist in isolation, the author also presents a series of "support patterns" that discuss how to turn conceptual models into software that in turn fits into an architecture for a large information system. Included in each pattern is the reasoning behind their design, rules for when they should and should not be used, and tips for implementation. The examples presented in this book comprise a cookbook of useful models and insight into the skill of reuse that will improve analysis, modeling and implementation.

Developed from the author's many years of teaching computing courses, Programming in C plus plus for Engineering and Science guides students in designing programs to solve real problems encountered in engineering and scientific applications. These problems include radioactive decay, pollution indexes, digital circuits, differential equations, Internet addresses, data analysis, simulation, quality control, electrical networks, data encryption, beam deflection, and many other areas. To make it easier for novices to develop programs, the author uses an object-centered design approach that helps students identify the objects in a problem and the operations needed; develop an algorithm for processing; implement the objects, operations, and algorithm in a program; and test, correct, and revise the program. He also revisits topics in greater detail as the text progresses. By the end of the book, students will have a solid understanding of how C plus plus can be used to process complex objects, including how classes can be built to model objects. Web ResourceThe book's website at http://cs.calvin.edu/books/c plus plus/engr-sci provides source code, expanded presentations, links to relevant sites, reference materials, lab exercises, and projects. For instructors, solutions to exercises and PowerPoint slides for classroom use are available upon qualifying course adoption.

Software developers face an ever-changing and ever-expanding technology landscape, which can appear as intimidating as Mt. Everest to newcomers. Developing technical skills is vital, but there are dozens of soft skills and learning techniques you need if you're to grow and succeed professionally. Honing those soft skills is a big part of what "Apprenticeship Patterns" is all about. Authors Dave Hoover and Adewale Oshineye, both formerly of the global IT consultancy ThoughtWorks, have cataloged dozens of patterns of behavior to help software developers hone their craft. Developed through years of research, a multitude of interviews, and feedback from O'Reilly's online forum, these patterns address difficult situations faced by entry-level programmers, system administrators, and database administrators. Each pattern has a memorable name to help point you in the right direction when you need it most. Examples of common obstacles and their solutions include: burned out at work? - learn how to 'Nurture Your Passion' by finding a pet project to help you rediscover the joy of problem solving; feeling overwhelmed by too much new information? - take a step back from your learning to re-explore some familiar territory by building something you've built before, then use 'Retreat Into Competence' to launch yourself forward again ; and, feeling stuck in your learning? - seek out a team of experienced and talented developers where you can 'Be the Worst' for a while Like any patterns book, you can read this one front-to-back, jump to specific patterns when you encounter the issues they address, or cherry pick just the ones that are new to you. The purpose of the solutions is to inspire you to stay on the path you intend, rather than wander off into management because it seems like the only option for advancement. "Apprenticeship Patterns" approaches software development not as a means to financial success, but as a means to personal fulfillment. It's your life and your career. Discover how this book can help you make the best of both.

Specification and Verification of Multi-agent Systems presents a coherent treatment of the area of formal specification and verification of agent-based systems with a special focus on verification of multi-agent programs. This edited volume includes contributions from international leading researchers in the area, addressing logical formalisms and techniques, such as model checking, theorem proving, and axiomatisations for (semi) automatic verification of agent-based systems. Chapters include: * Using Theorem Proving to Verify Properties of Agent Programs * The Refinement of Multi-Agent Systems * Model Checking Agent Communication * Directions for Agent Model Checking * Model Checking Logics of Strategic Ability: Complexity * Correctness of Mult-Agent Programs: A Hybrid Approach * The Norm Implementation Problem in Normative Multi-Agent Systems * A Verification Logic for GOAL Agents * Using the Maude Term Rewriting Language for Agent Development with Formal Foundations * The Cognitive Agents Specification Language and Verification Environment * A Temporal Trace Language for Formal Modelling and Analysis of Agent Systemns * Assurance of Agent Systems: What Role Should Formal Verification Play? Specification and Verification of Multi-agent Systems is a comprehensive guide that makes a useful tool for researchers, practitioners and students, and serves as a reference work summarizing the state of the art in an accessible manner.

This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software's complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering.

GPS Tracking with Java EE Components: Challenges of Connected Cars highlights how the self-driving car is actually changing the automotive industry, from programing embedded software to hosting services and data crunching, in real time, with really big data. The book analyzes how the challenges of the Self Driving Car (SDC) exceed the limits of a classical GPS Tracking System (GTS.) It provides a guidebook on setting up a tracking system by customizing its components. It also provides an overview of the prototyping and modeling process, and how the reader can modify this process for his or her own software. Every component is introduced in detail and includes a number of design decisions for development. The book introduces Java EE (JEE) Modules, and shows how they can be combined to a customizable GTS, and used as seed components to enrich existing systems with live tracking. The book also explores how to merge tracking and mapping to guide SDCs, and focuses on client server programming to provide useful information. It also discusses the challenges involved with the live coordination of moving cars. This book is designed to aid GTS developers and engineers in the automotive industry. It can also help Java Developers, not only interested in GPS Tracking, but in modern software design from many individual modules. Source code and sample applications will be available on the book's website.

Written by the author of the best-selling HyperText & HyperMedia, this book is an excellent guide to the methods of usability engineering. The book provides the tools needed to avoid usability surprises and improve product quality. Step-by-step information on which method to use at various stages during the development lifecycle are included, along with detailed information on how to run a usability test and the unique issues relating to international usability.
* Emphasizes cost-effective methods that developers can implement immediately
* Instructs readers about which methods to use when, throughout the development lifecycle, which ultimately helps in cost-benefit analysis.
* Shows readers how to avoid the four most frequently listed reasons for delay in software projects.
* Includes detailed information on how to run a usability test.
* Covers unique issues of international usability.
* Features an extensive bibliography allowing readers to find additional information.
* Written by an internationally renowned expert in the field and the author of the best-selling HyperText & HyperMedia.

This book looks at the two most popular ways of using Java SE 6 to write 3D games on PCs: Java 3D (a high-level scene graph API) and JOGL (a Java layer over OpenGL).

Written by Java gaming expert, Andrew Davison, this book will be first Java game book to market that uses the new Java (SE) 6 platform and its features including splash screens, scripting, and the desktop tray interface.

This will be first and maybe only book to market that covers Java game development using the Java 3D API and Java for OpenGL, both critical components and libraries to Java-based 3D game application development.

Software Application Development: A Visual C plus plus, MFC, and STL Tutorial provides a detailed account of the software development process using Visual C plus plus, MFC, and STL. It covers everything from the design to the implementation of all software modules, resulting in a demonstration application prototype which may be used to efficiently represent mathematical equations, perform interactive and intuitive model-building, and conduct control engineering experiments. All computer code is included, allowing developers to extend and reuse the software modules for their own project work. The book's tutorial-like approach empowers students and practitioners with the knowledge and skills required to perform disciplined, quality, real-world software engineering.

This book gives an in-depth introduction to the areas of modeling, identification, simulation, and optimization. These scientific topics play an increasingly dominant part in many engineering areas such as electrotechnology, mechanical engineering, aerospace, and physics. This book represents a unique and concise treatment of the mutual interactions among these topics.
Techniques for solving general nonlinear optimization problems as they arise in identification and many synthesis and design methods are detailed. The main points in deriving mathematical models via prior knowledge concerning the physics describing a system are emphasized. Several chapters discuss the identification of black-box models. Simulation is introduced as a numerical tool for calculating time responses of almost any mathematical model. The last chapter covers optimization, a generally applicable tool for formulating and solving many engineering problems.

This book constitutes the refereed post-conference proceedings of the Second IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2019, held in Tampa, USA, in October/ November 2019. The 11 full papers presented were carefully reviewed and selected from 22 submissions. Also included in this volume are 8 invited papers. The papers are organized in the following topical sections: IoT applications; context reasoning and situational awareness; IoT security; smart and low power IoT; smart network architectures; and smart system design and IoT education.

You can test just about anything with Cucumber. We certainly have, and in "Cucumber Recipes" we'll show you how to apply our hard-won field experience to your own projects. Once you've mastered the basics, this book will show you how to get the most out of Cucumber--from specific situations to advanced test-writing advice. With over forty practical recipes, you'll test desktop, web, mobile, and server applications across a variety of platforms. This book gives you tools that you can use today to automate any system that you encounter, and do it well."The Cucumber Book" showed you how your team can work together to write "executable specifications"--documents that tell a clear story and also happen to be working test code. We'll arm you with ready-rolled solutions to real-world problems: your tests will run faster, read more clearly, and work in any environment. Our first tips will help you fit Cucumber into your workflow. Powerful filters will tame tables full of test data, transforming them into the format your application needs. Custom output formatters will generate reports for any occasion. Continuous Integration servers will run your Cucumber tests every time the code changes. Next, you'll find recipes tailored to the platform you're running on. Ever wanted to know how to test a Grails app from Cucumber? Need to put a Windows program through its paces? How about a mobile app running on Android or iOS? We'll show you how to do all of these. Throughout the book, you'll see how to make Cucumber sing as you interoperate with different platforms, languages, and environments. From embedded circuits to Python and PHP web apps, Cucumber has something for you.What You Need: You'll need basic working knowledge of Cucumber and Ruby. Individual recipes may have additional requirements; for example, a recipe on Windows automation might pull in an open source GUI driver. We've written the recipes for compatibility with Ruby 1.9.3 and 1.8.7, plus Cucumber 1.1.4. Other versions may work as well, but these are the ones we test with.

This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in finance, system migration, internet systems and software refactoring are given. An established open-source MBD technology, UML-RSDS, is used throughout to illustrate the concepts. The book is suitable for industrial practitioners who need training in Agile MBD, and those who need to understand the issues to be considered when introducing MBD in an industrial context. It is also suitable for academic researchers, and for use as text for undergraduate or postgraduate courses in MBD. Examples for educational use of UML-RSDS are included in the book.

A new model of business has emerged within the Digital-Economy called Internetworked Enterprise (IE); it's a model that posits networks, communities of individuals and refusal of a centralized mindset as the core elements of the new frame of reference. Internetworked Enterprises are called by some scholars 'Extended' Enterprises, which use digital network to co-operate and compete with other e-business community partners by exchanging knowledge and information across trans-national borders.

"Evolving Towards the Internetworked Enterprise: Technological and Organizational Perspectives" is an edited volume based on a three year research project financed by the Italian Ministry of Research and Education. Researchers for this project are located at Polytechnic of Milan, University of Milan, University of Chieti, Engineering S.P.A and ISUFI-University of Salento. This book presents an overview of IE business methodologies, models, and an interpretative framework analyzing the sector and organizational contingencies that influence the digitalization of organizational processes in networks of SMEs (Small and Medium Enterprise). A set of case studies that provide empirical evidence on the IE phenomenon is included as well.

This book is designed for advanced-level students in computer science and business management concentrating on e-business, digital computing, information technology, economics of technology and innovation management as a reference or secondary text book. Practitioners working in these fields as corporate strategic planners and consultants will also find this book a valuable asset.

This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.

Address Errors before Users Find ThemUsing a mix-and-match approach, Software Test Attacks to Break Mobile and Embedded Devices presents an attack basis for testing mobile and embedded systems. Designed for testers working in the ever-expanding world of "smart" devices driven by software, the book focuses on attack-based testing that can be used by individuals and teams. The numerous test attacks show you when a software product does not work (i.e., has bugs) and provide you with information about the software product under test. The book guides you step by step starting with the basics. It explains patterns and techniques ranging from simple mind mapping to sophisticated test labs. For traditional testers moving into the mobile and embedded area, the book bridges the gap between IT and mobile/embedded system testing. It illustrates how to apply both traditional and new approaches. For those working with mobile/embedded systems without an extensive background in testing, the book brings together testing ideas, techniques, and solutions that are immediately applicable to testing smart and mobile devices.