The Internet of Things has become a major influence on the development of new technologies and innovations. When combined with smart services, the end-user experience can be significantly enhanced. Novel Design and the Applications of Smart-M3 Platforms in the Internet of Things: Emerging Research and Opportunities provides an innovative outlook on the development of open source technology for the creation of smart spaces and services. Including a range of relevant topics such as interoperability, system architecture, and information processing, this book is an ideal reference source for academics, researchers, graduate students, and practitioners interested in the latest advancements in the Internet of things.

Das Unternehmen des Informationszeitalters muss vom Kundenprozess ausgehen, die Starken verschiedener Online- und Offline-Absatzkanale kombinieren und Echzeit-Prozesse mit seinen Supply-Chain-Partnern organisieren. Um zum Netzwerk- oder Echtzeit-Unternehmen zu werden, ist ein Vorgehen in kleinen, wohluberlegten Schritten erfolgversprechender als "der grosse Wurf." Jeder Schritt benotigt eine Geschaftslosung, einen Kooperationsprozess zwischen Unternehmen und eine offene Infrastruktur. Dazu hat die Universitat St. Gallen gemeinsam mit neun namhaften Unternehmen eine Architektur erarbeitet, die eine Ausgestaltung der Schritte auf den Ebenen Strategie, Prozess und System unterstutzt. Anhand dieser Architektur werden verschiedene marktgangige Produkte und Technologien eingeordnet. Eine aus der Praxis abgeleitete Projektmethode fasst abschliessend die Erfahrungen zusammen und schlagt ein allgemeines Vorgehen vo

This book describes the development and design of a unique combined data and power management infrastructure for small satellites. This new edition became necessary because in the frame of the system's impressive evolution from an academic prototype to one of today's most advanced core avionics, many elements were upgraded to their next technology generation and diverse new components complement the upgraded design. All elements are presented in updated respectively new chapters. This modular infrastructure was selected by the Swiss start-up ClearSpace SA for ESA's first mission ClearSpace-1 to remove space debris. Furthermore it is the baseline for the Thai national satellite development program and is used by an increasing number of universities worldwide for research studies.

This book presents recently developed computational approaches for the study of reactive materials under extreme physical and thermodynamic conditions. It delves into cutting edge developments in simulation methods for reactive materials, including quantum calculations spanning nanometer length scales and picosecond timescales, to reactive force fields, coarse-grained approaches, and machine learning methods spanning microns and nanoseconds and beyond. These methods are discussed in the context of a broad range of fields, including prebiotic chemistry in impacting comets, studies of planetary interiors, high pressure synthesis of new compounds, and detonations of energetic materials. The book presents a pedagogical approach for these state-of-the-art approaches, compiled into a single source for the first time. Ultimately, the volume aims to make valuable research tools accessible to experimentalists and theoreticians alike for any number of scientific efforts, spanning many different types of compounds and reactive conditions.

Companies outsource today to reduce cost, increase flexibility, and focus on core competence. Outsourcing is not a fad, but strategic lever organizations utilize to meet their planned objectives. Outsourcing led transformations have become a mechanism for generating economies of scale, specialization, and standardization. Let's face it most outsourcing initiatives fail to deliver the expected value. The wisdom isn't a secret - the companies succeeding in this journey invested in building the right competencies, proper governance, and support structures to manage these initiatives. The Customer Centric Service Competency framework introduced in this book essentially brings forwards the service orientation and integrates outsourcing successfully with the usual business of an IT organization. The service framework encompasses thirty key competencies that can be implemented over the duration of outsourcing initiative. Implementation the services framework will also bring together skills in areas of program management, service management, vendor management, and relationship management. This book is sweeping and perhaps innovative -- for it introduces an integrated view of core services and process centric competencies to succeed with outsourcing. It also brings forward a matured competency based method to managing vendor relationships -- more art than science. The information contained in this book, when applied in context of your organization, will emerge several areas of efficiencies you may benefit by implementing. This book can be a compelling choice of reference for IT service providers, researchers, students, and IT management - CIO, Vice President, Directors, Program Managers, Project and Delivery Managers, Specialists, Architects, Developers, Testers, Infrastructure personnel etc.. It can be a: -Choice of reference for anyone interested in learning about IT outsourcing industry. -Guide IT and outsourcing professionals to simplify application of outsourcing in

The purpose of this book is to teach quantitative analysis to solve a variety of different business problems, using the Microsoft Excel software program. The book is primarily written for students and business executives. It covers both theoretical and applied material. The book contains 22 chapters and 2 appendices. Prior to using this book, users should have some familiarity with statistics, accounting, and marketing. They should also be comfortable with using computers, particularly spreadsheets, and have some knowledge of the Internet. The following is a summary of the topics covered in this book. *Computer Literacy and Advanced Spreadsheet Commands *Quantitative Analysis *Financial Statements *Loans and Amortization Tables *Income Tax Calculation *Advanced Logical Statements *Payroll Calculation *Product-Market Strategies Using Excel's Drawing Tools *Sales and Profit Forecasting in Domestic and International Arena *Frequency Distributions and Descriptive Summary Measures of Data *Resource Allocation and Linear Programming *Simple and Multiple Regression Analysis *Annual, Quarterly, and Monthly Time Series Analysis *Chi-Square Test of Independence *Breakeven Analysis *Business Plans *How to Create a Web Page

Not only have educators and trainers alike begun to harness the power of instructional technology and human performance techniques, but now businesses and industries have incorporated these technologies for training development and performance improvement. ""The Handbook of Research on Human Performance and Instructional Technology"" provides theoretical understanding of the essential link between education, training development, organization development, performance improvement, and instructional technology. An innovative publication useful to worldwide businesses, industry, schools, and higher academic institutions, this Handbook of Research is instrumental in providing the latest knowledge related to instructional technology and human performance in order to meet the needs and challenges of tomorrow.

In the past, project success has been defined too narrowly as simply meeting time and cost constraints for a given scope of work. However, in order for an IT project to be completely successful that basic definition of success needs to be extended to include meeting return on investment expectations, product quality, stakeholder satisfaction, security, maintainability and adaptability. Also, the formal methods and tools of the project management discipline need to evolve to address the changes in modern software engineering and our hightech global workplaces. With this broader and more appropriate definition of success, IT project management techniques and tools can be modernized, extended, and otherwise focused to be more effective. ""Project Management for Modern Information Systems"" describes and illustrates practices, procedures, methods, and tools for IT project management that address this extended definition of project success for modern times.

This book has a focus on the development and deployment of the Industrial Internet of Things (IIoT) paradigm, discussing frameworks, methodologies, benefits and limitations, as well as providing case studies of employing the IoT vision in the industrial domain. IIoT is becoming an attractive business reality for many organisations such as manufacturing, logistics, oil and gas, energy and other utilities, mining, aviation, and many more. The opportunities for this paradigm are huge, and according to one report, the IIoT market is predicted to reach $125 billion by 2021. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately capturing, analysing and communicating real-time data. The underlying technologies include distributed computing, machine learning, artificial intelligence, and machine-to-machine communication, with a typical IIoT system consisting of intelligent systems (applications, controllers, sensors, and security mechanisms), data communication infrastructure (cloud computing, edge computing, etc.), data analytics (to support business intelligence and corporate decision making), and most importantly the human element. The promised benefits of the IIoT include enhanced safety, better reliability, smart metering, inventory management, equipment tracking, and facilities management. There are, however, numerous issues that are also becoming the focus of active research, such as concerns regarding service availability, data security, and device communication. Lack of ubiquitous interoperability between heterogeneous devices is also a major concern. This book intends to fill a gap in the IIoT literature by providing the scientific contributions and latest developments from researchers and practitioners of international repute, focusing on frameworks, methodologies, benefits, and inherent issues/barriers to connected environments, especially in industrial settings. The intended audience includes network specialists, hardware engineers, and security experts who wish to adopt newer approaches for device connectivity, IoT security, and sensor-based devices design. University level students, researchers and practitioners will also find the latest innovation in technology and newer approaches relevant to the IIoT from a distributed computing perspective.

Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form. The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the "data-aptitude" built by the material in this book.

This it the first technical reference book available on the PSoC, and it offers the most comprehensive combination of technical data, example code, and descriptive prose you ll find anywhere.
Embedded design expert Robert Ashby will guide you through the entire PSoC world, providing thorough coverage of device feature, design, programming and development of the software-reconfigurable PSoC. He shares his best tips, tricks, and techniques that will help you to utilize the flexible and inexpensive PSoC to its greatest potential, with a minimum of heartaches and late nights.
With its emphasis on designing for adaptability -- a feature of the utmost importance in today s fast-paced and cost-pressured design cycles -- this book will bring you up to speed quickly on everything PSoC, from memory management to interconnects. You will add brains and capable signal conditioning to a design with one chip, giving you extreme flexibility for a relatively low price. Specific application examples highlighting the PSoC s unique capabilities are included throughout the text, with the supporting sample source code. This valuable code is also provided on the companion website so you can easily adapt it to your own designs.
* The first independent technical reference available on the PSoC, a product line experiencing explosive growth in the embedded design world
* Application examples, sample code, and design tips and techniques will get readers get up-to-speed quickly
* Companion website includes all example code from book, so that engineers can easily adapt it to their own designs"

This book discusses important topics for engineering and managing software startups, such as how technical and business aspects are related, which complications may arise and how they can be dealt with. It also addresses the use of scientific, engineering, and managerial approaches to successfully develop software products in startup companies. The book covers a wide range of software startup phenomena, and includes the knowledge, skills, and capabilities required for startup product development; team capacity and team roles; technical debt; minimal viable products; startup metrics; common pitfalls and patterns observed; as well as lessons learned from startups in Finland, Norway, Brazil, Russia and USA. All results are based on empirical findings, and the claims are backed by evidence and concrete observations, measurements and experiments from qualitative and quantitative research, as is common in empirical software engineering. The book helps entrepreneurs and practitioners to become aware of various phenomena, challenges, and practices that occur in real-world startups, and provides insights based on sound research methodologies presented in a simple and easy-to-read manner. It also allows students in business and engineering programs to learn about the important engineering concepts and technical building blocks of a software startup. It is also suitable for researchers at different levels in areas such as software and systems engineering, or information systems who are studying advanced topics related to software business.

Cases on Progressions and Challenges in ICT Utilization for Citizen-Centric Governance is a collection of case studies on the advancements and challenges of information technology in the involvements of citizens with the government. With contributions from authors around the world, this compilation is relevant to researchers, academics, and practitioners who wish to stay informed of the new world of technology in the government.

Yours can be the first APPLE house on the block! Learn how to save time and money by using your Apple II computer to control your home: the security, lights, temperature, telephone, and much more. With John Blankenship's system of software and hardware, your house can accept verbal commands and respond with its own voice. It does not need human instruction and performs many useful tasks on its own. Once you get used to an intelligent house, you will wonder how you ever got along without one. Even though devices featured in The Apple House can be purchased, the author shows how you can save money by building some from scratch. He also points out that you can substitute equipment you already own because of the system's modularity. Although written with an Apple II computer in mind, the principles discussed can easily be transferred to other computer systems.

This book analyses decision-making in dynamic economic environments. By applying a wide range of methodological approaches, combining both analytical and computational methods, the contributors examine various aspects of optimal firm behaviour and relevant policy areas. Topics covered include optimal control, dynamic games, economic decision-making, and applications in finance and economics, as well as policy implications in areas such as pollution regulation. This book is dedicated to Christophe Deissenberg, a well-known and distinguished scholar of economic dynamics and computational economics. It appeals to academics in the areas of optimal control, dynamic games and computational economics as well as to decision-makers working in policy domains such as environmental policy.

As the healthcare industry continues to expand, it must utilize technology to ensure efficiencies are maintained. Healthcare needs to move in a direction where computational methods and algorithms can relieve the routine work of medical doctors, leaving them more time to carry out more important and skilled tasks such as surgery. Computational Methods and Algorithms for Medicine and Optimized Clinical Practice discusses some of the most interesting aspects of theoretical and applied research covering complementary facets of computational methods and algorithms to achieve greater efficiency and support medical personnel. Featuring research on topics such as healthcare reform, artificial intelligence, and disease detection, this book will particularly appeal to medical professionals and practitioners, hospitals, administrators, students, researchers, and academicians.

"Birthday Tracker and Journal" is a special place to record important birthdays for family, friends, and others, month by month. It includes an informative introduction on birthday celebration traditions and lists birthday birthstones and flowers by month for gift-giving considerations. There is also a place to keep track of birthday cards or presents that you send, or receive, lined blank pages for your birthday reflections, and a place for birthday photos. Color illustrations by author/artist Jan Yager appear throughout. This unique book is a perfect gift or for one's own use to organize this special birthday information.

The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too. This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing. We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective. This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.