This book seeks to establish an interdisciplinary, applied social scientific model for researchers and students that advocates a cooperative effort between machines and people. After showing that basic research on social processes offers much needed guidance for those creating technology and designing tools for group work, its papers demonstrate the mutual relevance of social science and information system design, and encourage better integration of these disciplines.
This comprehensive collection closely examines the variety of electronic tools being deployed to solve traditional problems in communication and coordination. Unfortunately, research shows that these tools have not been as successful as their designers had envisioned, partially because they were not always produced with the needs and goals of their human users in mind. The editors' goal is to entice more social scientists to orient their research around questions of practical interest to information system designers and to convince designers to search for the knowledge about social and organizational behavior that would make their tools more useful.

The long-standing cultural imperative of augmenting human intellect continues to move ever closer to its full manifestation, described by Marshall McLuhan as an extension of the human nervous system. The escalating blending of immersive technologies with advanced computation has created an emerging domain which increasingly allows socio-technical system makers to produce not only human-computer interactions, but advanced, multi-minded human+computer (H+C) systems. The critical shift toward user immersion within systems of digital information and simulation makes the scale of immersive media's potential impact on human life, culture and well-being unlike that of any previous medium. In Designing XR, Peter (Zak) Zakrzewski presents H+C immersion as a multi-dimensional design problem - a Research Through Design (RTD) zone which addresses the question of: How can transformative design-thinking-based knowledge system complement the existing human-computer interaction (HCI) invention model to contribute to the creation of more participatory, socially viable, and humane immersive media environments? The book lays out a proposal for ushering the creation of ecologically sound augmented mind based on two essential tasks. The first involves a framework for the design, implementation, and iteration of purposeful, multi-minded, participatory immersive H+C systems. The second focuses on the extended reality experience (XRX) design practice that rhetorically invites users to actively engage with immersive systems while fully exercising their autonomy and agency based on informed choice.

Discover Podman, a next-generation container engine that manages containers rootlessly and provides extra layers of exceptional security unavailable in Docker and other container platforms. In Podman in Action you will learn how to: Build and run containers in rootless mode Develop and manage pods Use SystemD to oversee a container's lifecycle Work with the Podman service via Python Keep your containers confined using Podman security features Manage containerized applications on edge devices Podman in Action shows you how to deploy containerized applications on Linux, Windows, and MacOS systems using Podman. Written by Daniel Walsh, who leads the Red Hat Podman team, this book teaches you how to securely manage the entire application lifecycle without human intervention. It also demonstrates how, with Podman, you can easily convert containerized applications into Kubernetes-based microservices. about the technology Podman is a daemonless container engine that lets you build and run containers on all Linux distributions, Windows, and MacOS. It supports the fork exec model for running containers, which allows for better integration with a system and makes it easier to run rootless. It also boasts unique advanced features, such as the ability to create and run Pods that are similar to Kubernetes, and execute Kubernetes YAML. And if you're not ready to completely move on from Docker, Podman can run as a service and support the Docker API in a way that works with docker-compose and docker-py. about the reader For developers or system administrators experienced with Linux and the basics of Docker.

Reconfigurable computing techniques and adaptive systems are some of the most promising architectures for microprocessors. Reconfigurable and Adaptive Computing: Theory and Applications explores the latest research activities on hardware architecture for reconfigurable and adaptive computing systems. The first section of the book covers reconfigurable systems. The book presents a software and hardware codesign flow for coarse-grained systems-on-chip, a video watermarking algorithm for the H.264 standard, a solution for regular expressions matching systems, and a novel field programmable gate array (FPGA)-based acceleration solution with MapReduce framework on multiple hardware accelerators. The second section discusses network-on-chip, including an implementation of a multiprocessor system-on-chip platform with shared memory access, end-to-end quality-of-service metrics modeling based on a multi-application environment in network-on-chip, and a 3D ant colony routing (3D-ACR) for network-on-chip with three different 3D topologies. The final section addresses the methodology of system codesign. The book introduces a new software-hardware codesign flow for embedded systems that models both processors and intellectual property cores as services. It also proposes an efficient algorithm for dependent task software-hardware codesign with the greedy partitioning and insert scheduling method (GPISM) by task graph.

Control Engineering and Information Systems contains the papers presented at the 2014 International Conference on Control Engineering and Information Systems (ICCEIS 2014, Yueyang, Hunan, China, 20-22 June 2014). All major aspects of the theory and applications of control engineering and information systems are addressed, including: - Intelligent systems - Teaching cases - Pattern recognition - Industry application - Machine learning - Systems science and systems engineering - Data mining - Optimization - Business process management - Evolution of public sector ICT - IS economics - IS security and privacy - Personal data markets - Wireless ad hoc and sensor networks - Database and system security - Application of spatial information system - Other related areas Control Engineering and Information Systems provides a valuable source of information for scholars, researchers and academics in control engineering and information systems.

Whether you want to design apps, websites, or just have an intelligent conversation about design, these quick-and-dirty lessons are for you. Based on the popular UX Crash Course from Joel Marsh's blog-read over a million times-this book follows the real-life UX process from start-to-finish, so you can apply the skills as you learn. It is also perfect for managers, programmers, salespeople, and marketers who want to know more about designing digital products and services.Lessons include:Fundamentals of UX design, no experience necessaryResearching the weird and wonderful things users doThe process and science of making anything user-friendlyUsing size, color, and layout to help and influence usersPlanning and making wireframesMaking your designs feel engaging and persuasiveMeasuring how your design works in the real worldWhat does a UX designer do all day?

Modern-day projects require software and systems engineers to work together in realizing architectures of large and complex software-intensive systems. To date, the two have used their own tools and methods to deal with similar issues when it comes to the requirements, design, testing, maintenance, and evolution of these architectures. Software and Systems Architecture in Action explores practices that can be helpful in the development of architectures of large-scale systems in which software is a major component. Examining the synergies that exist between the disciplines of software and systems engineering, it presents concepts, techniques, and methods for creating and documenting architectures. The book describes an approach to architecture design that is driven from systemic quality attributes determined from both the business and technical goals of the system, rather than just its functional requirements. This architecture-centric design approach utilizes analytically derived patterns and tactics for quality attributes that inform the architect's design choices and help shape the architecture of a given system. The book includes coverage of techniques used to assess the impact of architecture-centric design on the structural complexity of a system. After reading the book, you will understand how to create architectures of systems and assess their ability to meet the business goals of your organization. Ideal for anyone involved with large and complex software-intensive systems, the book details powerful methods for engaging the software and systems engineers on your team. The book is also suitable for use in undergraduate and graduate-level courses on software and systems architecture as it exposes students to the concepts and techniques used to create and manage architectures of software-intensive systems.

As the complexity of today s networked computer systems grows, they become increasingly difficult to understand, predict, and control. Addressing these challenges requires new approaches to building these systems. Adaptive, Dynamic, and Resilient Systems supplies readers with various perspectives of the critical infrastructure that systems of networked computers rely on. It introduces the key issues, describes their interrelationships, and presents new research in support of these areas.
The book presents the insights of a different group of international experts in each chapter. Reporting on recent developments in adaptive systems, it begins with a survey of application fields. It explains the requirements of such fields in terms of adaptation and resilience. It also provides some abstract relationship graphs that illustrate the key attributes of distributed systems to supply you with a better understanding of these factors and their dependencies.
The text examines resilient adaptive systems from the perspectives of mobile, infrastructure, and enterprise systems and protecting critical infrastructure. It details various approaches for building adaptive, dynamic, and resilient systems including agile, grid, and autonomic computing; multi-agent-based and biologically inspired approaches; and self-organizing systems.
The book includes many stories of successful applications that illustrate a diversified range of cutting-edge approaches. It concludes by covering related topics and techniques that can help to boost adaptation and resilience in your systems."

This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.

This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark's scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets-Spark's core APIs-through worked examples Dive into Spark's low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark's stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

A solid introduction to the practices, plans, and skills required for developing a smart system architecture

Information architecture combines IT skills with business skills in order to align the IT structure of an organization with the mission, goals, and objectives of its business. This friendly introduction to IT architecture walks you through the myriad issues and complex decisions that many organizations face when setting up IT systems to work in sync with business procedures.

Veteran IT professional and author Kirk Hausman explains the business value behind IT architecture and provides you with an action plan for implementing IT architecture procedures in an organization. You'll explore the many challenges that organizations face as they attempt to use technology to enhance their business's productivity so that you can gain a solid understanding of the elements that are required to plan and create an architecture that meets specific business goals.Defines IT architecture as a blend of IT skills and business skills that focuses on business optimization, business architecture, performance management, and organizational structureUncovers and examines every topic within IT architecture including network, system, data, services, application, and moreAddresses the challenges that organizations face when attempting to use information technology to enable profitability and business continuity

While companies look to technology more than ever to enhance productivity, you should look to "IT Architecture For Dummies" for guidance in this field.

Learn to solve the unprecedented challenges facing Online Learning and Adaptive Signal Processing in this concise, intuitive text. The ever-increasing amount of data generated every day requires new strategies to tackle issues such as: combining data from a large number of sensors; improving spectral usage, utilizing multiple-antennas with adaptive capabilities; or learning from signals placed on graphs, generating unstructured data. Solutions to all of these and more are described in a condensed and unified way, enabling you to expose valuable information from data and signals in a fast and economical way. The up-to-date techniques explained here can be implemented in simple electronic hardware, or as part of multi-purpose systems. Also featuring alternative explanations for online learning, including newly developed methods and data selection, and several easily implemented algorithms, this one-of-a-kind book is an ideal resource for graduate students, researchers, and professionals in online learning and adaptive filtering.

Service computing is a cutting-edge area, popular in both industry and academia. New challenges have been introduced to develop service-oriented systems with high assurance requirements. High Assurance Services Computing captures and makes accessible the most recent practical developments in service-oriented high-assurance systems.

An edited volume contributed by well-established researchers in this field worldwide, this book reports the best current practices and emerging methods in the areas of service-oriented techniques for high assurance systems. Available results from industry and government, R&D laboratories and academia are included, along with unreported results from the hands-on experiences of software professionals in the respective domains.

Designed for practitioners and researchers working for industrial organizations and government agencies, High Assurance Services Computing is also suitable for advanced-level students in computer science and engineering."

There are essentially two theories of solutions that can be considered exact: the McMillan-Mayer theory and Fluctuation Solution Theory (FST). The first is mostly limited to solutes at low concentrations, while FST has no such issue. It is an exact theory that can be applied to any stable solution regardless of the number of components and their concentrations, and the types of molecules and their sizes. Fluctuation Theory of Solutions: Applications in Chemistry, Chemical Engineering, and Biophysics outlines the general concepts and theoretical basis of FST and provides a range of applications described by experts in chemistry, chemical engineering, and biophysics. The book, which begins with a historical perspective and an introductory chapter, includes a basic derivation for more casual readers. It is then devoted to providing new and very recent applications of FST. The first application chapters focus on simple model, binary, and ternary systems, using FST to explain their thermodynamic properties and the concept of preferential solvation. Later chapters illustrate the use of FST to develop more accurate potential functions for simulation, describe new approaches to elucidate microheterogeneities in solutions, and present an overview of solvation in new and model systems, including those under critical conditions. Expert contributors also discuss the use of FST to model solute solubility in a variety of systems. The final chapters present a series of biological applications that illustrate the use of FST to study cosolvent effects on proteins and their implications for protein folding. With the application of FST to study biological systems now well established, and given the continuing developments in computer hardware and software increasing the range of potential applications, FST provides a rigorous and useful approach for understanding a wide array of solution properties. This book outlines those approaches, and their advantages, ac

Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities. Comparing it with thermodynamics, which deals with transformation energy and represents a theoretical foundation of physical technology, IMD deals with transformation information, and can be considered a theoretical foundation of Information Computer Technology (ICT). ICT includes but is not limited to applied computer science, computer information systems, computer and data communications, software engineering, and artificial intelligence. In ICT, information flows from different data sources, and interacts to create new information products. The information flows may interact physically or via their virtual connections, initiating an information dynamic process that can be distributed in space. As in physics, a problem is understanding general regularities of the information processes in terms of information law, for the engineering and technological design, control, optimization, and development of computer technology, operations, manipulations, and management of real information objects. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach belongs to an interdisciplinary science that represents the new theoretical and computer-based methodology for system informational description and improvement, including various activities in such interdisciplinary areas as thinking, intelligent processes, management, and other nonphysical subjects with their mutual interactions, informational superimpositions, and the information transferred between interactions. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach can be used as a textbook or secondary text in courses on computer science, engineering, business, management, education, and psychology and as a reference for research and industry.

Conventional build-then-test practices are making today's embedded, software-reliant systems unaffordable to build. In response, more than thirty leading industrial organizations have joined SAE (formerly, the Society of Automotive Engineers) to define the SAE Architecture Analysis & Design Language (AADL) AS-5506 Standard, a rigorous and extensible foundation for model-based engineering analysis practices that encompass software system design, integration, and assurance. Using AADL, you can conduct lightweight and rigorous analyses of critical real-time factors such as performance, dependability, security, and data integrity. You can integrate additional established and custom analysis/specification techniques into your engineering environment, developing a fully unified architecture model that makes it easier to build reliable systems that meet customer expectations. Model-Based Engineering with AADL is the first guide to using this new international standard to optimize your development processes. Coauthored by Peter H. Feiler, the standard's author and technical lead, this introductory reference and tutorial is ideal for self-directed learning or classroom instruction, and is an excellent reference for practitioners, including architects, developers, integrators, validators, certifiers, first-level technical leaders, and project managers. Packed with real-world examples, it introduces all aspects of the AADL notation as part of an architecture-centric, model-based engineering approach to discovering embedded software systems problems earlier, when they cost less to solve. Throughout, the authors compare AADL to other modeling notations and approaches, while presenting the language via a complete case study: the development and analysis of a realistic example system through repeated refinement and analysis. Part One introduces both the AADL language and core Model-Based Engineering (MBE) practices, explaining basic software systems modeling and analysis in the context of an example system, and offering practical guidelines for effectively applying AADL. Part Two describes the characteristics of each AADL element, including their representations, applicability, and constraints. The Appendix includes comprehensive listings of AADL language elements, properties incorporated in the AADL standard, and a description of the book's example system.

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.

The European Conference on Computer and Network Defense draws contributions and participation both from academia and industry, and addresses security from multiple perspectives, including state-of-the-art research in computer network security, intrusion detection, denial-of-service, privacy protection, security policies, and incident response & management. The conference is organized jointly by the Institute of Computer Science of the Foundation for Research and Technology - Hellas (FORTH) and the European Network and Information Security Agency (ENISA).

For courses in structured systems analysis and design. Prioritising the practical over the technical, Modern Systems Analysis and Design presents the concepts, skills, methodologies, techniques, tools, and perspectives essential for systems analysts to develop information systems. The authors assume students have taken an introductory course on computer systems and have experience designing programs in at least one programming language. By drawing on the systems development life cycle, the authors provide a conceptual and systematic framework while progressing through topics logically. The 9th edition has been completely revised to adapt to the changing environment for systems development, with a renewed focus on agile methodologies.

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.

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.

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.

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.