Poornachandra Sarang – författare

Develop, Compile, and Debug High-Performance Java Applications

Take your Java skills to the next level using the expert programming techniques contained in this Oracle Press guide. Featuring real-world code samples and detailed instructions, Java Programming demonstrates how to fully utilize the powerful features of Java SE 7. Find out how to design multithreaded and network applications, integrate structured exception handling, use Java libraries, and develop Swing-based GUIs and applets. Inheritance, generics, and utility classes are are covered in this practical resource.

Create custom classes, methods, arrays, and operatorsControl program flow using conditional statementsHandle multithreaded, network, and I/O programmingLearn new constructs in multithreadingIncorporate enums, annotations, and autoboxingRecover from errors, input failures, and exceptionsUse Java Swing to build lightweight GUIs and appletsCut development time using the collections frameworkWork with the latest Java libraries and utility classes

Pro Apache XML thoroughly introduces several subprojects found under the Web Services–driven API umbrella. The book begins with a concise introduction to XML and Web Services. Subsequent chapters devote themselves to specific subprojects covering their purposes, APIs, implementation, and practical uses through appropriate code examples. Additional material includes

Introductions to several of the Apache Foundation''s hottest projects, including Xerces, Axis, and Xindice Building XML–driven websites using the popular Cocoon project Transforming XML–based documents into a variety of formats, including PDF, SVG, and PS, using the Formatting Objects Processor (FOP) project

You''lll learn to perform tasks like validation, parsing, transformation, and storage and how to work with this information through a programming interface. You may either read this book from cover to cover or jump to any desired subproject for a detailed study of its implementation. All programming examples use the Java programming language.

Pro Apache XML thoroughly introduces several subprojects found under the Web Services–driven API umbrella. The book begins with a concise introduction to XML and Web Services. Subsequent chapters devote themselves to specific subprojects covering their purposes, APIs, implementation, and practical uses through appropriate code examples. Additional material includesIntroductions to several of the Apache Foundation's hottest projects, including Xerces, Axis, and Xindice Building XML–driven websites using the popular Cocoon project Transforming XML–based documents into a variety of formats, including PDF, SVG, and PS, using the Formatting Objects Processor (FOP) project You'lll learn to perform tasks like validation, parsing, transformation, and storage and how to work with this information through a programming interface. You may either read this book from cover to cover or jump to any desired subproject for a detailed study of its implementation. All programming examples use the Java programming language.

Liferay Portal is the leading open-source enterprise portal framework that uses Java and Web 2.0 technologies.Web portals often function as a point of access to information on the World Wide Web. Web portals, such as Yahoo!, present information from diverse sources in a unified way. Aside from the search engine standard, web portals offer other services such as e–mail, news, stock prices, infotainment, and various other features. Portals provide a means for enterprises to supply a consistent look and feel with access control and procedures for multiple applications that otherwise would have been separate entities altogether.So, how do developers bring existing applications, as well as integrate content management systems and search engines, into a portal? And how do developers get started with the Liferay Portal engine? In Practical Liferay: Java–based Portal Applications Development, Dr. Poornachandra Sarang answers these questions and more.This book is for those who want to learn how to use Liferay to develop vertical or company–specific web portals and beyond. The book will serve as a practical guide to learning Liferay and developing real–world web portals.

Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures—starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis. This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are. What You'll LearnDevelop Machine Learning ApplicationsTranslate languages using neural networksCompose images with style transferWho This Book Is ForBeginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.

Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.After learning what''s new in TensorFlow 2, you''ll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architectures—starting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis. This practical approach can either be used from the beginning through to the end or, if you''re already familiar with basic ML models, you can dive right into the application that interests you. Line-by-line explanations on major code segments help to fill in the details as you work and the entire project source is available to you online for learning and further experimentation. With Artificial Neural Networks with TensorFlow 2 you''ll see just how wide the range of TensorFlow''s capabilities are. What You''ll LearnDevelop Machine Learning ApplicationsTranslate languages using neural networksCompose images with style transferWho This Book Is ForBeginners, practitioners, and hard-cored developers who want to master machine and deep learning with TensorFlow 2. The reader should have working concepts of ML basics and terminologies.

Pro Apache XML thoroughly introduces several subprojects found under the Web Services–driven API umbrella. The book begins with a concise introduction to XML and Web Services. Subsequent chapters devote themselves to specific subprojects covering their purposes, APIs, implementation, and practical uses through appropriate code examples. Additional material includesIntroductions to several of the Apache Foundation's hottest projects, including Xerces, Axis, and Xindice Building XML–driven websites using the popular Cocoon project Transforming XML–based documents into a variety of formats, including PDF, SVG, and PS, using the Formatting Objects Processor (FOP) project You'lll learn to perform tasks like validation, parsing, transformation, and storage and how to work with this information through a programming interface. You may either read this book from cover to cover or jump to any desired subproject for a detailed study of its implementation. All programming examples use the Java programming language.

An Architects and Developers Guide to BPEL and BPEL4WS

Key Features

Architecture, syntax, development and composition of Business Processes and Services using BPELAdvanced BPEL features such as compensation, concurrency, links, scopes, events, dynamic partner links, and correlationsOracle BPEL Process Manager and BPEL Designer Microsoft BizTalk Server as a BPEL server

Book Description

Web services provide the basic technical platform required for application interoperability. They do not, however, provide higher level control, such as which web services need to be invoked, which operations should be called and in what sequence. Nor do they provide ways to describe the semantics of interfaces, the workflows, or e-business processes. BPEL is the missing link to assemble and integrate web services into a real business process BPEL4WS standardizes process automation between web services. This applies both within the enterprise, where BPEL4WS is used to integrate previously isolated systems, and between enterprises, where BPEL4WS enables easier and more effective integration with business partners. In providing a standard descriptive structure BPEL4WS enables enterprises to define their business processes during the design phase. Wider business benefits can flow from this through business process optimization, reengineering, and the selection of most appropriate processes . Supported by major vendorsó including BEA, Hewlett-Packard, IBM, Microsoft, Novell, Oracle, SAP, Sun, and othersó BPEL4WS is becoming the accepted standard for business process management.This book provides detailed coverage of BPEL4WS, its syntax, and where, and how, it is used. It begins with an overview of web services, showing both the foundation of, and need for, BPEL. The web services orchestration stack is explained, including standards such as WS-Security, WS-Coordination, WS-Transaction, WS-Addressing, and others. The BPEL language itself is explained in detail, with Code snippets and complete examples illustrating both its syntax and typical construction. Having covered BPEL itself, the book then goes on to show BPEL is used in context. by providing an overview of major BPEL4WS servers. It covers the Oracle BPEL Process Manager and Microsoft BizTalk Server 2004 in detail, and shows how to write BPEL4WS solutions using these servers.

What you will learn

Chapter 1 provides a detailed introduction to BPEL and Service Oriented Architecture (SOA). It discusses business processes and their automation, explains the role of BPEL, web services, and Enterprise Service Buses (ESB) in SOA, provides insight into business process composition with BPEL, explains the most important features, compares BPEL to other specifications, provides an overview of BPEL servers, and discusses the future of BPEL.Chapter 2 provides a detailed introduction to the Web Services Technology Stack. It discusses the important standards and specifications for using BPEL and implementing SOA with web services, such as WS-Security, WS-Addressing, WS-Coordination, WS-AtomicTransaction, WS-BusinessActivity, WS-Reliable Messaging, etc.Chapter 3 discusses the composition of web services with BPEL. The chapter introduces the core concepts of BPEL and explains how to define synchronous and asynchronous business processes with BPEL. The reader gets familiar with BPEL process structure, partner links, sequential and parallel service invocation, variables, conditions, etc.Chapter 4 goes deeper into the BPEL specification and covers advanced features for modeling complex business processes. Advanced activities, scopes, serialization, fault handing, compensations, event handling, correlation sets, concurrent activities and links, process lifecycle, and dynamic partner links are covered in detail.Chapter 5 explains how to use the Oracle BPEL Process Manager for deploying and executing business processes defined in BPEL. It describes the server architecture, tools, features, and common approaches for managing and debugging BPEL processes. The chapter also looks at graphical development of BPEL processes using Oracle BPEL Designer for JDeveloper and for Eclipse.Chapter 6 takes a detailed look at the advanced features of the Oracle BPEL Process Manager including extension functions, dynamic parallel flows, Web Services Invocation Framework, Java embedding, Notification service, Workflow service, Identity service, and Oracle BPEL Server APIs.Chapter 7 discusses MS BizTalk Server 2004 and its support for BPEL. It explains how to develop business processes in BizTalk and export them to BPEL. It also explains how to import BPEL processes into BizTalk and how to use the Orchestration Designer tool to define processes graphically, and compares BizTalk and BPEL constructs.Appendix A provides a syntax reference for BPEL version 1.1. The appendix covers standard BPEL activities and elements, functions, attributes, and faults.

Who this book is for

This book is aimed at architects and developers in the design, implementation, and integration phases of advanced information systems and e-business solutions, developing business processes and dealing with the issues of composition, orchestration, transactions, coordination, and security. The book presumes knowledge of XML and web services, web services development (either on J2EE or .NET), and multi-tier architecture

This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.

This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.

The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.

 

This definitive guide to Machine Learning projects answers the problems an aspiring or experienced data scientist frequently has: Confused on what technology to use for your ML development? Should I use GOFAI, ANN/DNN or Transfer Learning? Can I rely on AutoML for model development? What if the client provides me Gig and Terabytes of data for developing analytic models? How do I handle high-frequency dynamic datasets? This book provides the practitioner with a consolidation of the entire data science process in a single “Cheat Sheet”.The challenge for a data scientist is to extract meaningful information from huge datasets that will help to create better strategies for businesses. Many Machine Learning algorithms and Neural Networks are designed to do analytics on such datasets. For a data scientist, it is a daunting decision as to which algorithm to use for a given dataset. Although there is no single answer to this question, a systematic approach to problem solving is necessary. This book describes the various ML algorithms conceptually and defines/discusses a process in the selection of ML/DL models. The consolidation of available algorithms and techniques for designing efficient ML models is the key aspect of this book. Thinking Data Science will help practising data scientists, academicians, researchers, and students who want to build ML models using the appropriate algorithms and architectures, whether the data be small or big.

Blockchain interoperability is revolutionizing how digital assets and data move across decentralized networks. This book provides a comprehensive exploration of the protocols and frameworks that enable seamless interaction between diverse blockchains. With a focus on leading solutions such as LayerZero ULN, Polkadot XCM, Cosmos IBC, and Chainlink CCIP, readers gain a deep understanding of the mechanisms driving cross-chain communication.Blockchain Without Barriers also deals with the vulnerabilities that have challenged the industry, examining incidents such as the Wormhole and Nomad exploits that resulted in significant financial losses. Addressing these challenges, the book offers a practical guide to simulating and enhancing interoperability technologies. Detailed code walkthroughs demonstrate how to replicate bridges, relayers, and event-driven contracts using Truffle, Ganache, and Solidity, empowering readers to experiment and innovate on their own desktops. A highlight of the book is the introduction of the Cross-Domain Trust Mesh (CDTM), a novel, modular framework designed for governance-aware systems that emphasize safety, compatibility, and decomposability. Key topics include replay protection, compliance, Oracle manipulation, and developer abstractions, all presented with clarity and technical depth.By establishing clear standards and practical guidance, this book lays the foundation for the next era of Web 3.0 — a truly decentralized and interoperable digital world. It is an essential resource for scholars, researchers, developers, and anyone eager to master the complexities of blockchain interoperability.

Blockchain interoperability is revolutionizing how digital assets and data move across decentralized networks. This book provides a comprehensive exploration of the protocols and frameworks that enable seamless interaction between diverse blockchains. With a focus on leading solutions such as LayerZero ULN, Polkadot XCM, Cosmos IBC, and Chainlink CCIP, readers gain a deep understanding of the mechanisms driving cross-chain communication.Blockchain Without Barriers also deals with the vulnerabilities that have challenged the industry, examining incidents such as the Wormhole and Nomad exploits that resulted in significant financial losses. Addressing these challenges, the book offers a practical guide to simulating and enhancing interoperability technologies. Detailed code walkthroughs demonstrate how to replicate bridges, relayers, and event-driven contracts using Truffle, Ganache, and Solidity, empowering readers to experiment and innovate on their own desktops. A highlight of the book is the introduction of the Cross-Domain Trust Mesh (CDTM), a novel, modular framework designed for governance-aware systems that emphasize safety, compatibility, and decomposability. Key topics include replay protection, compliance, Oracle manipulation, and developer abstractions, all presented with clarity and technical depth. By establishing clear standards and practical guidance, this book lays the foundation for the next era of Web 3.0 — a truly decentralized and interoperable digital world. It is an essential resource for scholars, researchers, developers, and anyone eager to master the complexities of blockchain interoperability.