Microcontroller Programming: An Introduction is a comprehensive one-stop resource that covers the concepts, principles, solution development, and associated techniques involved in microcontroller-based systems. Focusing on the elements and features of the popular and powerful Motorola 68HC11 microcontroller IC as a representative example, this book is unlike others, which are often too broad in scope, delving into every topic of concern regarding microcontroller programmers. Instead, this text concentrates on design, architecture, and development, giving developers the tools to develop solid, effective embedded applications. Packaged with helpful examples, projects, and illustrations, this book gives an in-depth assessment of microcontroller design programming in both assembly and C. By illustrating the relatively sophisticated 8-bit 68HC11 microcontroller, the author-who is a consultant for NASA-provides a firsthand exploration and demonstration of the languages, tools, and techniques needed to build embedded applications. Readers can then apply their newly acquired skills to program other 8/16/32-bit microcontrollers. For readers who want to do more than just scrape the surface, this book is an enjoyable and immensely beneficial tool to help them cultivate a deeper understanding of microcontroller-based application development. An extensive supplements package is available free of charge to instructors who use the book for a course.

A hands-on introduction to VHDL synthesis and FPGA prototyping

Hardware Descriptive Language (HDL) and Field Programmable Gate Array (FPGA) devices

allow designers to quickly develop and simulate a sophisticated digital circuit, realize it on a prototyping device, and verify the operation of its physical implementation. As these technologies have matured, they have become accepted mainstream practice so that it is possible to use a PC and an inexpensive FPGA prototyping board to construct a complex digital system.

This book uses a "learn by doing" approach to introduce the concepts and techniques of VHDL and FPGA to designers through a series of hands-on experiments. FPGA Prototyping by VHDL Examples provides:

A collection of clear, easy-to-follow templates for quick code development

A large number of practical examples to illustrate and reinforce the concepts and design techniques

Realistic projects that can be implemented and tested on a Xilinx prototyping board

A thorough exploration of the Xilinx PicoBlaze soft-core microcontroller

Although the book is an introductory text, the examples are developed in a rigorous manner and the derivations follow strict design guidelines and coding practices used for large, complex systems. It lays a solid foundation for students and new engineers and prepares them for future development tasks. FPGA Prototyping by VHDL Examples is an indispensable companion text for introductory digital design courses and also serves as a valuable self-teaching guide for practicing engineers who wish to learn more about this emerging area of interest.

Advances such as cloud computing and streaming multimedia are steadily increasing the demand on network resources, and telecommunications providers must ensure that their networks are managed effectively in order to ensure that Internet and mobile users remain satisfied with their quality of service. Network and Traffic Engineering in Emerging Distributed Computing Applications focuses on network management and traffic engineering for Internet and distributed computing technologies, as well as present emerging technology trends and advanced platforms. This premier reference source for academics, students, researchers, readers, and knowledge seekers puts together some of the critical aspects of Internet and distributed systems.

Because of the continuous evolution of integrated circuit manufacturing (ICM) and design for manufacturability (DfM), most books on the subject are obsolete before they even go to press. That's why the field requires a reference that takes the focus off of numbers and concentrates more on larger economic concepts than on technical details. Semiconductors: Integrated Circuit Design for Manufacturability covers the gradual evolution of integrated circuit design (ICD) as a basis to propose strategies for improving return-on-investment (ROI) for ICD in manufacturing. Where most books put the spotlight on detailed engineering enhancements and their implications for device functionality, in contrast, this one offers, among other things, crucial, valuable historical background and roadmapping, all illustrated with examples. Presents actual test cases that illustrate product challenges, examine possible solution strategies, and demonstrate how to select and implement the right one This book shows that DfM is a powerful generic engineering concept with potential extending beyond its usual application in automated layout enhancements centered on proximity correction and pattern density. This material explores the concept of ICD for production by breaking down its major steps: product definition, design, layout, and manufacturing. Averting extended discussion of technology, techniques, or specific device dimensions, the author also avoids the clumsy chapter architecture that can hinder other books on this subject. The result is an extremely functional, systematic presentation that simplifies existing approaches to DfM, outlining a clear set of criteria to help readers assess reliability, functionality, and yield. With careful consideration of the economic and technical trade-offs involved in ICD for manufacturing, this reference addresses techniques for physical, electrical, and logical design, keeping coverage fresh and concise for the designers, manufacturers, and researchers defining product architecture and research programs.

Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show you what Kubernetes can do-and what you can do with it. This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems with software tools currently in use. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, exploring patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles. Understand containers and Kubernetes-no experience necessary Run your own applications on managed cloud Kubernetes services or on-prem environments Design your own cloud native services and infrastructure Use Kubernetes to manage resource usage and the container lifecycle Optimize clusters for cost, performance, resilience, capacity, and scalability Learn the best tools for developing, testing, and deploying your applications Apply the latest industry practices for observability and monitoring Secure your containers and clusters in production

The TransNav 2011 Symposium held at the Gdynia Maritime University, Poland in June 2011 has brought together a wide range of participants from all over the world. The program has offered a variety of contributions, allowing to look at many aspects of the navigational safety from various different points of view. Topics presented and discussed at the Symposium were: navigation, safety at sea, sea transportation, education of navigators and simulator-based training, sea traffic engineering, ship's manoeuvrability, integrated systems, electronic charts systems, satellite, radio-navigation and anti-collision systems and many others. This book is part of a series of six volumes and provides an overview of Human Resources and Crew Resource management and is addressed to scientists and professionals involved in research and development of navigation, safety of navigation and sea transportation.

Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of data across scales, and the prediction of tumor progression and treatment outcome (in silico oncology). Drawing on an interdisciplinary group of distinguished international experts, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents contributions from some of the top in silico modeling groups in the United States and Europe. The ultimate goal of multiscale modeling and simulation approaches is their use in clinical practice, such as supporting patient-specific treatment optimization. This volume covers state-of-the-art methods of multiscale cancer modeling and addresses the field's potential as well as future challenges. It encourages collaborations among researchers in various disciplines to achieve breakthroughs in cancer modeling.

As a collection of ideas and methodologies, systems thinking has made an impact in organizations and in particular in the information systems field. However, this main emphasis on organizations limits the scope of systems thinking and practice. There is a need first to use systems thinking in addressing societal problems, and second to enable people involved in developing the information society to reflect on the impacts of systems and technologies in society as a whole. Thus, there are opportunities to review the scope and potential of systems thinking and practice to deal with information society-related issues.

Systems Practice in the Information Society provides students of information systems as well as practicing Inofrmation Systems managers with concepts and strategies to enable them to understand and use systems thinking methodologies and address challenges posed by the development of information-based societies. This book brings experiences, ideas, and applications of systemic thinking in designing and evaluating socio-technological initiatives. Using a number of cultural contexts, this book explores how organizations, including governments, can enable better access to information and communication technologies and improve the quality of life of individuals.

As a collection of ideas and methodologies, systems thinking has made an impact in organizations and in particular in the information systems field. However, this main emphasis on organizations limits the scope of systems thinking and practice. There is a need first to use systems thinking in addressing societal problems, and second to enable people involved in developing the information society to reflect on the impacts of systems and technologies in society as a whole. Thus, there are opportunities to review the scope and potential of systems thinking and practice to deal with information society-related issues.

Systems Practice in the Information Society provides students of information systems as well as practicing Inofrmation Systems managers with concepts and strategies to enable them to understand and use systems thinking methodologies and address challenges posed by the development of information-based societies. This book brings experiences, ideas, and applications of systemic thinking in designing and evaluating socio-technological initiatives. Using a number of cultural contexts, this book explores how organizations, including governments, can enable better access to information and communication technologies and improve the quality of life of individuals.

The demands of increasingly complex embedded systems and associated performance computations have resulted in the development of heterogeneous computing architectures that often integrate several types of processors, analog and digital electronic components, and mechanical and optical components?all on a single chip. As a result, now the most prominent challenge for the design automation community is to efficiently plan for such heterogeneity and to fully exploit its capabilities.

A compilation of work from internationally renowned authors, Model-Based Design for Embedded Systems elaborates on related practices and addresses the main facets of heterogeneous Model-Based Design for embedded systems, including the current state of the art, important challenges, and the latest trends. Focusing on computational models as the core design artifact, this book presents the cutting-edge results that have helped establish Model-Based Design and continue to expand its parameters.
The book is organized into three sections: Real-Time and Performance Analysis in Heterogeneous Embedded Systems, Design Tools and Methodology for Multiprocessor System-on-Chip, and Design Tools and Methodology for Multidomain Embedded Systems. The respective contributors share their considerable expertise on the automation of design refinement and how to relate properties throughout this refinement while enabling analytic and synthetic qualities. They focus on multi-core methodological issues, real-time analysis, and modeling and validation, taking into account how optical, electronic, and mechanical components often interface.
Model-Based Design is emerging as a solution to bridge the gap between the availability of computational capabilities and our inability to make full use of them yet. This approach enables teams to start the design process using a high-level model that is gradually refined through abstraction levels to ultimately yield a prototype. When executed well, Model-Based Design encourages enhanced performance and quicker time to market for a product. Illustrating a broad and diverse spectrum of applications such as in the automotive aerospace, health care, consumer electronics, this volume provides designers with practical, readily adaptable modeling solutions for their own practice.

Maintaining compatibility among all affected network and application interfaces of modern enterprise systems can quickly become costly and overwhelming. This handbook presents the knowledge and practical experience of a global group of experts from varying disciplines to help you plan and implement enterprise integration projects that respond to business needs quickly and are seamless to business users. The Handbook of Enterprise Integration brings together the latest research and application results to provide infrastructure engineers, software engineers, software developers, system designers, and project managers with a clear and comprehensive understanding of systems integration technologies, architectures, applications, and project management techniques involved in enterprise system integration. The text includes coverage of mobile communications, standards for integrated manufacturing and e-commerce, RFID, Web-based systems, and complete service-oriented enterprise modeling and analysis. Practitioners will benefit from insights on managing virtual teams as well as techniques for introducing complex technology into businesses. Covering best practices in enterprise systems integration, the text highlights applications across various business enterprises to help you: Bring together existing systems for business processes improvement Design and implement systems that can be reconfigured quickly and easily in response to evolving operational needs Establish procedures for achieving smooth migrations from legacy systems-with minimal disruption to existing operations Complete with case studies, this book illustrates the current state of the art in the context of user requirements and integration and provides the up-to-date understanding required to manage today's complex and interconnected systems.

The Definitive Guide to the ARM (R) Cortex (R)-M0 and Cortex-M0+ Processors, Second Edition explains the architectures underneath ARM's Cortex-M0 and Cortex-M0+ processors and their programming techniques. Written by ARM's Senior Embedded Technology Manager, Joseph Yiu, the book is packed with examples on how to use the features in the Cortex-M0 and Cortex-M0+ processors. It provides detailed information on the instruction set architecture, how to use a number of popular development suites, an overview of the software development flow, and information on how to locate problems in the program code and software porting. This new edition includes the differences between the Cortex-M0 and Cortex-M0+ processors such as architectural features (e.g. unprivileged execution level, vector table relocation), new chapters on low power designs and the Memory Protection Unit (MPU), the benefits of the Cortex-M0+ processor, such as the new single cycle I/O interface, higher energy efficiency, better performance and the Micro Trace Buffer (MTB) feature, updated software development tools, updated Real Time Operating System examples using Keil (TM) RTX with CMSIS-RTOS APIs, examples of using various Cortex-M0 and Cortex-M0+ based microcontrollers, and much more.

The art, craft, discipline, logic, practice and science of developing large-scale software products needs a professional base. The textbooks in this three-volume set combine informal, engineeringly sound approaches with the rigor of formal, mathematics-based approaches.

This volume covers the basic principles and techniques of specifying systems and languages. It deals with modelling the semiotics (pragmatics, semantics and syntax of systems and languages), modelling spatial and simple temporal phenomena, and such specialized topics as modularity (incl. UML class diagrams), Petri nets, live sequence charts, statecharts, and temporal logics, including the duration calculus. Finally, the book presents techniques for interpreter and compiler development of functional, imperative, modular and parallel programming languages.

This book is targeted at late undergraduate to early graduate university students, and researchers of programming methodologies. Vol. 1 of this series is a prerequisite text.

Comprehensive and self contained, this tutorial covers the design of a plethora of combinational and sequential logic circuits using conventional logic design and Verilog HDL. Number systems and number representations are presented along with various binary codes. Several advanced topics are covered, including functional decomposition and iterative networks. A variety of examples are provided for combinational and sequential logic, computer arithmetic, and advanced topics such as Hamming code error correction. Constructs supported by Verilog are described in detail. All designs are continued to completion. Each chapter includes numerous design issues of varying complexity to be resolved by the reader.

Since 1994, the European Conference on Product and Process Modelling (www.ecppm.org) has been providing a review of research, development and industrial implementation of product and process model technology in construction. The 7th European Conference on Product and Process Modelling (ECPPM 2008) provided a unique discussion platform for topics of key importance for the AEC/FM industry, with a focus on two main themes:

- Structuring of product and process information for enhanced collaborative teamwork and information sharing in this fragmented industry, and

- Advanced Computing, Information and Communication Technology addressing the resolution of challenges for the AEC/FM industry in the upcoming years.

Leading experts delivered up-to-date, comprehensive presentations on the broad achievements in research, development, standardisation and industrial implementation of product and process data technology. This book covers a large spectrum of topics, including process optimisation, extended products and future services for homes and buildings infrastructures, decision support systems for universal design of buildings, ICT-based applications for energy efficiency, environmental monitoring, the ageing population, assistive technologies for the built environment, policy, legal framework, and rules and regulations, and will be of interest to scientists and professionals working in these areas.

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.

This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. The papers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series.

With extraordinary clarity, the Systems Biology: Principles, Methods, and Concepts focuses on the technical practical aspects of modeling complex or organic general systems. It also provides in-depth coverage of modeling biochemical, thermodynamic, engineering, and ecological systems. Among other methods and concepts based in logic, computer science, and dynamical systems, it explores pragmatic techniques of General Systems Theory. This text presents biology as an autonomous science from the perspective of fundamental modeling techniques. A complete resource for anyone interested in biology as an exact science, it includes a comprehensive survey, review, and critique of concepts and methods in Systems Biology.

Mechatronic design processes have become shorter and more parallelized, induced by growing time-to-market pressure. Methods that enable quantitative analysis in early design stages are required, should dependability analyses aim to influence the design. Due to the limited amount of data in this phase, the level of uncertainty is high and explicit modeling of these uncertainties becomes necessary.

This work introduces new uncertainty-preserving dependability methods for early design stages. These include the propagation of uncertainty through dependability models, the activation of data from similar components for analyses and the integration of uncertain dependability predictions into an optimization framework. It is shown that Dempster-Shafer theory can be an alternative to probability theory in early design stage dependability predictions. Expert estimates can be represented, input uncertainty is propagated through the system and prediction uncertainty can be measured and interpreted. The resulting coherent methodology can be applied to represent the uncertainty in dependability models.

A must-have book for systems analysts, architects and managers interested in enhancing successful communication in their organisation.* Provides detailed examples of how to understand and implement 'fundamental modeling concepts' for IT-systems communication* Provides an already successfully implemented model that has been used at: Siemens, Alcatel, SAP and others* Benefits from extensive theoretical and practical research* Provides guidelines on how 'fundamental modeling concepts' can be used to support UML, OO, MDA and Architectural Patterns

This book investigates the fundaments, standards, and protocols of Cyber-Physical Systems (CPS) in the industrial transformation environment. It facilitates a fusion of both technologies in the creation of reliable and robust applications. Cyber-Physical Systems for Industrial Transformation: Fundamentals, Standards, and Protocols explores emerging technologies such as artificial intelligence, data science, blockchain, robotic process automation, virtual reality, edge computing, and 5G technology to highlight current and future opportunities to transition CPS to become more robust and reliable. The book showcases the real-time sensing, processing, and actuation software and discusses fault-tolerant and cybersecurity as well. This book brings together undergraduates, postgraduates, academics, researchers, and industry individuals that are interested in exploring new ideas, techniques, and tools related to CPS and Industry 4.0.

With the diversification of Internet services and the increase in mobile users, efficient management of network resources has become an extremely important issue in the field of wireless communication networks (WCNs). Adaptive resource management is an effective tool for improving the economic efficiency of WCN systems as well as network design and construction, especially in view of the surge in mobile device demands. This book presents modelling methods based on queueing theory and Markov processes for a wide variety of WCN systems, as well as precise and approximate analytical solution methods for the numerical evaluation of the system performance. This is the first book to provide an overview of the numerical analyses that can be gleaned by applying queueing theory, traffic theory and other analytical methods to various WCN systems. It also discusses the recent advances in the resource management of WCNs, such as broadband wireless access networks, cognitive radio networks, and green cloud computing. It assumes a basic understanding of computer networks and queueing theory, and familiarity with stochastic processes is also recommended. The analysis methods presented in this book are useful for first-year-graduate or senior computer science and communication engineering students. Providing information on network design and management, performance evaluation, queueing theory, game theory, intelligent optimization, and operations research for researchers and engineers, the book is also a valuable reference resource for students, analysts, managers and anyone in the industry interested in WCN system modelling, performance analysis and numerical evaluation.

In two editions spanning more than a decade, The Electrical Engineering Handbook stands as the definitive reference to the multidisciplinary field of electrical engineering. Our knowledge continues to grow, and so does the Handbook. For the third edition, it has expanded into a set of six books carefully focused on a specialized area or field of study. Each book represents a concise yet definitive collection of key concepts, models, and equations in its respective domain, thoughtfully gathered for convenient access. Systems, Controls, Embedded Systems, Energy, and Machines explores in detail the fields of energy devices, machines, and systems as well as control systems. It provides all of the fundamental concepts needed for thorough, in-depth understanding of each area and devotes special attention to the emerging area of embedded systems. Each article includes defining terms, references, and sources of further information. Encompassing the work of the world's foremost experts in their respective specialties, Systems, Controls, Embedded Systems, Energy, and Machines features the latest developments, the broadest scope of coverage, and new material on human-computer interaction.

Until now, almost all books on logical database design focused exclusively on relational design. However, modern database management systems have added powerful features that have driven a movement away from truly normalized database design. Logical Database Design Principles reflects these recent changes. The book begins by covering traditional logical design principles, followed by an analysis of the normalizing and modeling of data. It then examines designing for specific purposes, such as object-oriented databases, online transaction processing (OLTP), and data warehouses. As the text progresses, it moves from the purely logical into some physical design, as determined by how the features of modern databases are implemented. Because this is a logical-design book, the authors attempt to make the examples database-neutral. Because various vendors implement features in different ways, this volume sometimes offers examples from a specific database management system. When necessary, it highlights a specific application, clearly demonstrating the concept being discussed.