To understand Jini, imagine that you could move to a new office across the world or check into any hotel--and could simply plug your notebook or Palm directly into the local network. Your device would immediately be recognized, and you would have access to the services at that location--transparently. Jini is Sun's Java-based technology, with potential to make transparent universal plug and play a reality. Foundations of Jini 2 Programming, based on Jini 2.0, is an expanded, updated version of the most popular online tutorial for Jini. This is the perfect book for any Java programmer interested in learning and applying Jini toward their respective network applications (any Java-enabled device interoperable with another Java-enabled device).

Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.

The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approaches, it does not focus on any specific language, but aims to explain the underlying ideas. Typically, new concepts are first introduced in the particularly user-friendly Python language and then transferred and extended in various programming environments from C/C++, Julia and MATLAB to Maple and Mathematica. This includes various approaches to distributed computing. By examining and comparing different languages, the book is also helpful for mathematicians and practitioners in deciding which programming language to use for which purposes. At a more advanced level, special tools for the automated solution of partial differential equations using the finite element method are discussed. On a more experimental level, the basic methods of scientific machine learning in artificial neural networks are explained and illustrated.

Renowned expert of the occult, Dr. Walter Prine, is summoned to a town in West Virginia to interview nine survivors of an unimaginable holocaust. They claimed that an angel had killed all but nine for failure to deliver a man named Jericho Black. As the sessions intensify, Dr. Prine learns that he is the true target of the vengeful angel, for hiding one of the most precious possessions in existence: An apple from the Garden of Eden taken from a world without sin.

But Prine suffers from amnesia at the hand of God as punishment for his treachery and does not remember anything about the apple. Prine soon finds himself in the middle of a search between Heaven and Hell to find the omnipotent fruit that might end the war between good and evil forever.

But the cost may be the end of life itself.

This book introduces Python programming language and fundamental concepts in algorithms and computing. Its target audience includes students and engineers with little or no background in programming, who need to master a practical programming language and learn the basic thinking in computer science/programming. The main contents come from lecture notes for engineering students from all disciplines, and has received high ratings. Its materials and ordering have been adjusted repeatedly according to classroom reception. Compared to alternative textbooks in the market, this book introduces the underlying Python implementation of number, string, list, tuple, dict, function, class, instance and module objects in a consistent and easy-to-understand way, making assignment, function definition, function call, mutability and binding environments understandable inside-out. By giving the abstraction of implementation mechanisms, this book builds a solid understanding of the Python programming language.

Visual languages have long been lit pursuitofeffective communication 00 tween human and machine. Today, they are suecessfully employed for e: nd user progmmming, modeliog, rapid prototypmg, and design activities by people ofmany disciplines including arehitects, artists, children, engi neers, and scientists. Furthermore. with rapid advances ofthe Internet and Web technology, human human communication through the Web or eleo tronie mobile deviees is becoming more and moreprevalent This manuscript provides a comprehensive introduetion to diagmmmatiooI visual programming languages and the technologyofautomatie genemtion ofsnch languages. It covers a broad rangeofcontents from the underlying theoryofgraph grammars to the applications in various domains. Thecon tents were ex: l: l: aeted from the papers that my Ph. D. students and I have published in the last 10 years. and are updated and organized in a coherent fashion. The manuseript gives an in. -depth treatmentof all the topic areas. Pointers to related work and further readings are also faeilitated at the end ofeverychapterexeeptChapter 9. Rather than describing how to program visually, the manuscript discusses what are visual programming languages, and how sooh languages and their underlying foundations can be usefully applied to other fields incomputer science that need graphs as the p: rimary meansofrepresentation. Assuming the basic knowledge of computer programming and compiler co: nstruetion, the manuscript can be used as a textbook for senior orgradu ate computer science classes on visual languages, or a reference book for programming language classes, practitioners, and researchers inthe related field. The manuscript cannot be completed without the helps of many people.

This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications. The main focus of this book is on orthogonal kernel functions, and the properties of the classical kernel functions-Chebyshev, Legendre, Gegenbauer, and Jacobi-are reviewed in some chapters. Moreover, the fractional form of these kernel functions is introduced in the same chapters, and for ease of use for these kernel functions, a tutorial on a Python package named ORSVM is presented. The book also exhibits a variety of applications for support vector algorithms, and in addition to the classification, these algorithms along with the introduced kernel functions are utilized for solving ordinary, partial, integro, and fractional differential equations. On the other hand, nowadays, the real-time and big data applications of support vector algorithms are growing. Consequently, the Compute Unified Device Architecture (CUDA) parallelizing the procedure of support vector algorithms based on orthogonal kernel functions is presented. The book sheds light on how to use support vector algorithms based on orthogonal kernel functions in different situations and gives a significant perspective to all machine learning and scientific machine learning researchers all around the world to utilize fractional orthogonal kernel functions in their pattern recognition or scientific computing problems.

Compiler technology is fundamental to computer science since it provides the means to implement many other tools. It is interesting that, in fact, many tools have a compiler framework - they accept input in a particular format, perform some processing and present output in another format. Such tools support the abstraction process and are crucial to productive systems development. The focus of Compiler Technology: Tools, Translators and Language Implementation is to enable quick development of analysis tools. Both lexical scanner and parser generator tools are provided as supplements to this book, since a hands-on approach to experimentation with a toy implementation aids in understanding abstract topics such as parse-trees and parse conflicts. Furthermore, it is through hands-on exercises that one discovers the particular intricacies of language implementation. Compiler Technology: Tools, Translators and Language Implementation is suitable as a textbook for an undergraduate or graduate level course on compiler technology, and as a reference for researchers and practitioners interested in compilers and language implementation.

For undergraduate students in Computer Science and Computer Programming courses A solid foundation in the basics of C++ programming will allow students to create efficient, elegant code ready for any production environment. Learning basic logic and fundamental programming techniques is essential for new programmers to succeed. A distinctive fundamentals-first approach and clear, concise writing style characterize Introduction to Programming with C++, 3/e. Basic programming concepts are introduced on control statements, loops, functions, and arrays before object-oriented programming is discussed. Abstract concepts are carefully and concretely explained using simple, short, and stimulating examples. Explanations are presented in brief segments, with many figures and tables. NEW! This edition is available with MyProgrammingLab, an innovative online homework and assessment tool. Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. Note: If you are purchasing the standalone text or electronic version, MyProgrammingLab does not come automatically packaged with the text. To purchase MyProgrammingLab, please visit: myprogramminglab.com or you can purchase a package of the physical text + MyProgrammingLab by searching the Pearson Higher Education web site. MyProgrammingLab is not a self-paced technology and should only be purchased when required by an instructor. Teaching and Learning Experience To provide a better teaching and learning experience, for both instructors and students, this program offers: *Fundamentals-First: Basic programming concepts are introduced on control statements, loops, functions, and arrays before object-oriented programming is discussed. *Problem-Driven Motivation: The examples and exercises throughout the book emphasize problem solving and foster the concept of developing reusable components and using them to create practical projects. *Support for Instructors and Students: The author maintains a website at http://www.cs.armstrong.edu/liang/cpp3e that includes multiple interactive resources.

The formal study of program behavior has become an essential ingredient in guiding the design of new computer architectures. Accurate characterization of applications leads to efficient design of high performing architectures. Quantitative and analytical characterization of workloads is important to understand and exploit the interesting features of workloads. This book includes ten chapters on various aspects of workload characterizati on. File caching characteristics of the industry-standard web-serving benchmark SPECweb99 are presented by Keller et al. in Chapter 1, while value locality of SPECJVM98 benchmarks are characterized by Rychlik et al. in Chapter 2. SPECJVM98 benchmarks are visited again in Chapter 3, where Tao et al. study the operating system activity in Java programs. In Chapter 4, KleinOsowski et al. describe how the SPEC2000 CPU benchmark suite may be adapted for computer architecture research and present the small, representative input data sets they created to reduce simulation time without compromising on accuracy. Their research has been recognized by the Standard Performance Evaluation Corporation (SPEC) and is listed on the official SPEC website, http: //www. spec. org/osg/cpu2000/research/umnl. The main contribution of Chapter 5 is the proposal of a new measure called locality surface to characterize locality of reference in programs. Sorenson et al. describe how a three-dimensional surface can be used to represent both of programs. In Chapter 6, Thornock et al

The Forum on Design Languages (FDL) is the European Forum to exchange experiences and learn new trends, in the application of languages and the associated design methods and tools, to design complex electronic systems. By offering several co-located workshops, this multi-faceted event gives an excellent opportunity to gain up-to-date knowledge across main aspects of such a wide field. All the workshops address as their common denominator the different application domains of system-design languages with the presentation of the latest research results and design experiences.
FDL'02 was organized as four focused workshops, Languages for Analog and Mixed-Signal system design, UML-based system specification and design, C/C++-based system design and Specification Formalisms for Proven design.

FDL served once more as the European Forum for electronic system design languages and consolidates as the main place in Europe where designers interested in design languages and their applications can meet and interchange experiences.

In this fourth book in the CHDL Series, a selection of the best papers presented in FDL'02 is published. System Specification and Design Languages contains outstanding research contributions in the four areas mentioned above. So, The Analog and Mixed-Signal system design contributions cover the new methodological approaches like AMS behavioral specification, mixed-signal modeling and simulation, AMS reuse and MEMs design using the new modeling languages such as VHDL-AMS, Verilog-AMS, Modelica and analog-mixed signal extensions to SystemC.

UML is the de-facto standard for SW development covering the early development stages of requirement analysis and system specification. The UML-based system specification and design contributions address latest results on hot-topic areas such as system profiling, performance analysis and UML application to complex, HW/SW embedded systems and SoC design.C/C++-for HW/SW systems design is entering standard industrial design flows. Selected papers cover system modeling, system verification and SW generation.

The papers from the Specification Formalisms for Proven design workshop present formal methods for system modeling and design, semantic integrity and formal languages such as ALPHA, HANDLE and B.

What's this AOP thing anyway, really-when you get right down to it-and can someone please explain what an aspect actually is?
Aspect-Oriented Programming with the e Verification Language takes a pragmatic, example based, and fun approach to unraveling the mysteries of AOP. In this book, you'll learn how to:
- Use AOP to organize your code in a way that makes it easy to deal with the things you really care about in your verification environments. Forget about organizing by classes, and start organizing by functionality, layers, components, protocols, functional coverage, checking, or anything that you decide is important to you
- Easily create flexible code that eases your development burden, and gives your users the power to quickly do what they need to do with your code
- Truly create a plug-and-play environment that allows you to add and remove functionality without modifying your code. Examples include how to use AOP to create pluggable debug modules, and a pluggable module that lets you check that your testbench is still working before you begin a regression
- Utilize AOP to sidestep those productivity roadblocks that seem to plague all projects at the most inconvenient of times
- Discover why "return" is evil, and some other "gotchas" with the AOP features of e
All of the methodologies, tips, and techniques described in this book have been developed and tested on real projects, with real people, real schedules and all of the associated problems that come with these. Only the ones that worked, and worked well, have made it in, so by following the advice given in this book, you'll gain access to the true power of AOP while neatly avoiding the effort of workingit all out yourself.
- Use AOP to organize your code in a way that makes it easy to deal with the things you really care about in your verification environments. Forget about organizing by classes, and start organizing by functionality, layers, components, protocols, functional coverage, checking, or anything that you decide is important to you
- Easily create flexible code that eases your development burden, and gives your users the power to quickly do what they need to do with your code
- Truly create a plug-and-play environment that allows you to add and remove functionality without modifying your code. Examples include how to use AOP to create pluggable debug modules, and a pluggable module that lets you check that your testbench is still working before you begin a regression
- Utilize AOP to sidestep those productivity roadblocks that seem to plague all projects at the most inconvenient of times
- Discover why "return" is evil, and some other "gotchas" with the AOP features of e

VHDL Answers to Frequently Asked Questions, Second Edition is a follow up to the author's books VHDL Answers to Frequently Asked Questions (ISBN 0-7923-9791-6) and VHDL Coding Styles and Methodologies (ISBN 0-7923-9598-0). This book addresses: misinterpretations in the use of the language; methods for writing error-free, and simulation-efficient, code for testbench designs and for synthesis; and general principles and guidelines for design verification. This second edition includes the following additions to the first edition: a new chapter on design for reuse that defines coding and design techniques that are impermeable to new technologies and are malleable to new requirements; more questions and answers including discussions on applications of guarded signals and shared variables; more models including the design of a reusable priority encoder, and a switch; more packages including an enhancement of image package to convert values to text strings in binary, hexadecimal, and decimal formats, and the complex package that defines complex numbers and overloaded operators.The book differs from other VHDL books in many respects. This bookemphasizes real VHDL, rather than philosophical or introductory types of informationemphasizes application of VHDL for synthesisuses complete examples to demonstrate problems and solutionsprovides a disk that includes all the book examples and other useful VHDL reference materialuses easy to remember symbology notation to emphasize language rules, good and poor methodology and coding stylesidentifies obsolete VHDL constructs that must be avoidedidentifies synthesizable/non-synthesizable structuresuses a question and answer format to clarify and emphasizethe concerns of VHDL users.VHDL Answers to Frequently Asked Questions, Second Edition is intended for those who are seeking an enhanced proficiency in VHDL.

bridges ML and Optimisation; discusses optimisation techniques to improve ML algorithms for big data problems; identifies key research areas to solve large-scale machine learning problems; identifies recent research directions to solve major areas to tackle the challenge

This reference is intended for experienced practitioners, consultants and students working on building practical applications. It discusses the most widely-used programming languages and their fuctional pros and cons for application and development. The author provides: a brief overview of programming languages principles and concepts; numerous diagrams, charts and sample programs; coverage of object-oriented programming and visual programming; and tables rating languages on such subjects as simplicity, data structuring, portability and efficiency.

"

Blake Brown eased his car out of the parking lot and onto the highway. Unseen, the idling evil slowly left its resting place to follow discreetly behind him. Blake rounded corners and went through lights and the black, metallic beast stayed on his tail. As Blake finally turned into his apartment complex, his shadow turned with him. He never noticed the sleek beast behind him as he pulled into his parking spot and turned off the ignition. The evil trailing him inched to a stop on the other side of the parking lot. Blake turned to walk across to his building. Just as he started across the lot, the black car started again. It honed in on him. It moved gracefully through the lot, smelling blood in the water. As it got close to Blake, it slowed, menacingly creeping toward him. The window lowered silently. Blake, sensing its presence, turned and his eyes lit with a hint of recognition.

'Squ?" was all he got out. Before he could finish the sentence, three shots quietly erupted from the silencer- equipped gun inside the black car. Blake Brown staggered backward. He was hit three times in the chest. The deal was off."

While compilers for high-level programming languages are large complex software systems, they have particular characteristics that differentiate them from other software systems. Their functionality is almost completely well-defined - ideally there exist complete precise descriptions of the source and target languages, while additional descriptions of the interfaces to the operating system, programming system and programming environment, and to other compilers and libraries are often available. The implementation of application systems directly in machine language is both difficult and error-prone, leading to programs that become obsolete as quickly as the computers for which they were developed. With the development of higher-level machine-independent programming languages came the need to offer compilers that were able to translate programs into machine language. Given this basic challenge, the different subtasks of compilation have been the subject of intensive research since the 1950s.

This book is not intended to be a cookbook for compilers, instead the authors' presentation reflects the special characteristics of compiler design, especially the existence of precise specifications of the subtasks. They invest effort to understand these precisely and to provide adequate concepts for their systematic treatment. This is the first book in a multivolume set, and here the authors describe what a compiler does, i.e., what correspondence it establishes between a source and a target program. To achieve this the authors specify a suitable virtual machine (abstract machine) and exactly describe the compilation of programs of each source language into the language of the associated virtual machine for an imperative, functional, logic and object-oriented programming language.

This book is intended for students of computer science. Knowledge of at least one imperative programming language is assumed, while for the chapters on the translation of functional and logic programming languages it would be helpful to know a modern functional language and Prolog. The book is supported throughout with examples, exercises and program fragments.

Tackles a topic in a concise and accessible way that most believe too advanced to pick up easily. Author has over 40 years teaching and industry experience which they utilize in this book. Contains an appendix with extended code and examples of topics discussed in text.

For courses in introductory C# programming. Motivate students with clear, down-to-earth explanations and familiar graphical elements Starting Out With Visual C# is an ideal introductory Visual C# text for students with no prior programming experience. Students who are new to programming will appreciate the clear, down-to-earth explanations and the detailed walk-throughs that are provided by the hands-on tutorials. Gaddis's hallmark, step-by-step instructions are supported by a GUI-based approach that motivates students as they learn to create GUI-based, event-driven, Visual C# applications. Topics are examined progressively in each chapter, with objects taught before classes. The 5th Edition adds an abundance of new material and improvements with updates for compatibility with Visual Studio 2017. Two new chapters include Chapter 13: Delegates and Lambda Expressions and Chapter 14: Language-Integrated Query (LINQ).

A unique approach to "Intro CS." In a nutshell, the authors of this book's objective is to provide an introduction to computer science as an intellectually rich and vibrant field rather than focusing exclusively on computer programming. While programming is certainly an important and pervasive element of their approach, they emphasize concepts and problem-solving over syntax and programming language features. This book is a companion to the course "CS for All" developed at Harvey Mudd College and subsequently adopted at a variety of colleges and universities. At Mudd, this course is taken by almost every first-year student - irrespective of the student's ultimate major - as part of the college's core curriculum. The offering is also taken by many students at the Claremont Colleges, including students majoring in the humanities, social sciences, and the arts. Thus, it serves as a first computing course for students regardless of their major. This book is intended to be used with the substantial resources that we have developed for the course. These resources include complete lecture slides, a rich collection of weekly assignments, some accompanying software, documentation, and papers that have been published about the course. The authors have deliberately kept this book relatively short and have endeavored to make it fun and readable. The content of this book is an accurate reflection of the content of the course rather than an intimidating encyclopedic tome that can't possibly be covered in a single semester. The book has been written in the belief that a student can read all of it comfortably as the course proceeds.

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).