Michael Müller – författare

Advanced Biomass Gasification: New Concepts for Efficiency Increase and Product Flexibility provides a thorough overview on new concepts in biomass gasification and consolidated information on advances for process integration and combination, which could otherwise only be gained by reading a high number of journal publications.Heidenreich, Müller and Foscolo, highly respected experts in this field, start their exploration with the compact UNIQUE reactor, gasification and pyrolysis, gasification and combustion, and catalysts and membranes. The authors then examine biomass pre-treatment processes, taking into account the energy balance of the overall conversion process, and look into oxygen-steam gasification and solutions for air separation, including new options for integration of O2-membranes into the gasifier. Several polygeneration strategies are covered, including combined heat and power (CHP) production with synthetic natural gas (SNG), biofuels and hydrogen, and new cutting-edge concepts, such as plasma gasification, supercritical water gasification, and catalytic gasification, which allows for insights on the future technological outlook of the area.This book is then a valuable resource for industry and academia-based researchers, as well as graduate students in the energy and chemical sectors with interest in biomass gasification, especially in areas of power engineering, bioenergy, chemical engineering, and catalysis.- Explores state-of-the-art technologies that allow for greater efficiency and flexibility in gasification, including process integration, combination, and polygeneration strategies- Consolidates information that was, up until now, scattered among several sources, including journal articles- Provides a valuable resource for industry and academia-based researchers, as well as graduate students in the energy and chemical sectors with interest in biomass gasification, especially in areas of power engineering, bioenergy, chemical engineering, and catalysis

This compact book introduces the concepts of Java lambdas and parallel streams in a concise form. It begins by introducing new supporting features such as functional interfaces, default methods and more. After this, the author demonstrates how streams can be parallelized in a very simple way—within certain limits, no knowledge about the thread management is needed. Nevertheless, some basic elements in the context of parallelism need to be considered. Here, the book provides a variety of information and best practices.What You Will LearnMaster lambdas and streamsWork with the default methodHarness streams and the stream() function Use Stream and SpliteratorTake advantage of parallel streamsWork with collectors and concurrencyWho This Book Is ForExperienced Java programmers and developers.div>

This compact book introduces the concepts of Java lambdas and parallel streams in a concise form. It begins by introducing new supporting features such as functional interfaces, default methods and more. After this, the author demonstrates how streams can be parallelized in a very simple way—within certain limits, no knowledge about the thread management is needed. Nevertheless, some basic elements in the context of parallelism need to be considered. Here, the book provides a variety of information and best practices.What You Will LearnMaster lambdas and streamsWork with the default methodHarness streams and the stream() function Use Stream and SpliteratorTake advantage of parallel streamsWork with collectors and concurrencyWho This Book Is ForExperienced Java programmers and developers.div>

Master the Java EE 8 and JSF (JavaServer Faces) APIs and web framework with this practical, projects-driven guide to web development. This book combines theoretical background with a practical approach by building four real-world applications. By developing these JSF web applications, you'll take a tour through the other Java EE technologies such as JPA, CDI, Security, WebSockets, and more.In Practical JSF in Java EE 8, you will learn to use the JavaServer Faces web framework in Java EE 8 to easily construct a web-based user interface from a set of reusable components. Next, you add JSF event handling and then link to a database, persist data, and add security and the other bells and whistles that the Java EE 8 platform has to offer.After reading this book you will have a good foundation in Java-based web development and will have increased your proficiency in sophisticated Java EE 8 web development using the JSF framework.What You Will LearnUse the Java EE 8 and the JavaServer Faces APIs to build Java-based web applications through four practical real-world case studiesProcess user input with JSF and the expression language by building a calculator applicationPersist data using JSF templating and Java Persistence to manage an inventory of booksCreate and manage an alumni database using JSF, Ajax, web services and Java EE 8's security features.Who This Book Is For Those new to Java EE 8 and JSF. Some prior experience with Java is recommended.

Master the Java EE 8 and JSF (JavaServer Faces) APIs and web framework with this practical, projects-driven guide to web development. This book combines theoretical background with a practical approach by building four real-world applications. By developing these JSF web applications, you''ll take a tour through the other Java EE technologies such as JPA, CDI, Security, WebSockets, and more.

In Practical JSF in Java EE 8, you will learn to use the JavaServer Faces web framework in Java EE 8 to easily construct a web-based user interface from a set of reusable components. Next, you add JSF event handling and then link to a database, persist data, and add security and the other bells and whistles that the Java EE 8 platform has to offer.

After reading this book you will have a good foundation in Java-based web development and will have increased your proficiency in sophisticated Java EE 8 web development using the JSF framework.

What You Will Learn

Use the Java EE 8 and the JavaServer Faces APIs to build Java-based web applications through four practical real-world case studies Process user input with JSF and the expression language by building a calculator application Persist data using JSF templating and Java Persistence to manage an inventory of books Create and manage an alumni database using JSF, Ajax, web services and Java EE 8''s security features.

 Who This Book Is For

Those new to Java EE 8 and JSF. Some prior experience with Java is recommended.

Key FeaturesBook DescriptionEvery organization, public or private, processes documents in various formats, especially paper and fax formats. Processing documents manually is an expensive and time-consuming endeavor. Ephesoft Enterprise is a modern document capture solution that allows an organization to automate the business process. It uses powerful technology to classify and capture the vital information from the document's content. This helps to minimize the time your company spends on reviewing and processing any physical and electronic documents.This book teaches you about document capture in general and implementation of document capture using Ephesoft.Start by learning about document capture and how Ephesoft revolutionized the industry. Progress to a tour of key features, including operator and administrator interfaces and then learn to configure Ephesoft to process your business’s specific document types and extract content from those documents. You will also get to know the advanced customization techniques that make Ephesoft accommodate your unique business needs. Finally, the book concludes by teaching you how to embed the classification and extraction functionality using Ephesoft’s web services.By the end, you will learn to optimize the processing of your documents, saving your company time and money.What you will learnDiscover the benefits of using intelligent document capture in your work placeLearn to capture, classify, and separate any type of documentExtract important information from your documentsTransfer the documents and data into your content management systemCustomize Ephesoft to meet your unique business requirementsUnderstand the integration techniques using the Ephesoft web services APIConvert your paper archive to electronic records efficientlyAutomate business processes that depend on documents in paper, fax, or email attachment formatImplement distributed capture for mailroom automationWho this book is forThis book is intended for information technology professionals interested in installing and configuring Ephesoft Enterprise for their organization, but it is a valuable resource for anyone interested in learning about intelligent document capture.

Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platformsKey FeaturesProven frameworks to transition from cloud-native to AI-native architecturesPractical pattern-based approach to designing scalable AI platformsStrategic guidance for driving enterprise AI transformation and innovationBook DescriptionCloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes. Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organization s maturity and identify the right path forward. You ll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape. This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.What you will learnUnderstand the shift from cloud-native to AI-native architecturesIdentify where your organization sits on the technology evolution curveApply transformation patterns to design scalable AI platformsNavigate operational modes like scaling, optimizing, and innovatingBuild AI-ready systems integrated with existing cloud infrastructureAnticipate future technology trends and adoption strategiesAvoid common anti-patterns in enterprise AI transformationDrive measurable business value from AI initiativesWho this book is forThis book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets.

Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platformsKey FeaturesProven frameworks to transition from cloud-native to AI-native architecturesPractical pattern-based approach to designing scalable AI platformsStrategic guidance for driving enterprise AI transformation and innovationBook DescriptionCloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes.Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organization’s maturity and identify the right path forward. You’ll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape.This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.What you will learnUnderstand the shift from cloud-native to AI-native architecturesIdentify where your organization sits on the technology evolution curveApply transformation patterns to design scalable AI platformsNavigate operational modes like scaling, optimizing, and innovatingBuild AI-ready systems integrated with existing cloud infrastructureAnticipate future technology trends and adoption strategiesAvoid common anti-patterns in enterprise AI transformationDrive measurable business value from AI initiativesWho this book is forThis book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets.