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By the author of THE DESIGN OF EVERYDAY THINGS. Insightful and whimsical, profoundly intelligent and easily accessible, Don Norman has been exploring the design of our world for decades, exploring this complex relationship between humans and machines. In this seminal work, fully revised and updated, Norman gives us the first steps towards demanding a person-centered redesign of the machines we use every day. Humans have always worked with objects to extend our cognitive powers, from counting on our fingers to designing massive supercomputers. But advanced technology does more than merely assist with memory—the machines we create begin to shape how we think and, at times, even what we value. In THINGS THAT MAKE US SMART, Donald Norman explores the complex interaction between human thought and the technology it creates, arguing for the development of machines that fit our minds, rather than minds that must conform to the machine.
Making Things Smart teaches the fundamentals of the powerful ARM microcontroller by walking beginners and experienced users alike through easily assembled projects comprised of inexpensive, hardware-store parts. Current ARM programming books take a bland, textbook approach focused on complex, beginner-unfriendly languages like C or ARM Assembler. Making Things Smart uses Espruino (JavaScript for Hardware), flattening the learning curve.
This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.
A "good" programmer can outproduce five, ten, and sometimes more run-of-the-mill programmers. The secret to success for any software company then is to hire the good programmers. But how to do that? In Joel on Hiring, Joel Spolsky draws from his experience both at Microsoft and running his own successful software company based in New York City. He writes humorously, but seriously about his methods for sorting resumes, for finding great candidates, and for interviewing, in person and by phone. Joel’s methods are not complex, but they do get to the heart of the matter: how to recognize a great developer when you see one.
Intelligent business process management is the next generation of enterprise BPM, leveraging recent technological advances to attain a degree of operational responsiveness not possible with yesterday’s business process platform. Today, companies of all types want faster and better insight into their operations. This growing demand for operational intelligence has given rise to a new, "smarter" variety of business process management suites (BPMSs). An intelligent BPM suite provides the functionality needed to support more intelligent business operations, including real-time analytics, extensive complex event processing (CEP) and business activity monitoring (BAM) technologies and enhanced mobile, social and collaborative capabilities. Dubbed ‘iBPMS” by Gartner Group, who describes the intelligent BPM Suite as having 10 core components: A process orchestration engineA model-driven composition environmentContent interaction managementHuman interaction managementConnectivityActive analytics (sometimes called continuous intelligence)On-demand analyticsBusiness rules management (BRM)Management and administration for the suite’s technical aspectsA process component registry/repository An intelligent BPM suite provides the functionality needed to support more intelligent business operations, including real-time analytics, extensive complex event processing (CEP) and business activity monitoring (BAM) technologies and enhanced mobile, social and collaborative capabilities. The co-authors of this important book describe various aspects and approaches with regard to impact and opportunity.
This book provides a comprehensive overview for the use of femtocells in smart Internet of Things (IoT) environments. Femtocells will help mobile operators to provide a basis for the next generation of services which are a combination of voice, video, and data services to mobile users. This book discusses modelling traffic and deployment strategies in femtocells and provides a review for the use of femtocells and their applications in IoT environments. Moreover, it highlights the efficient real-time medium access, data delivery, caching and security aspects in smart spaces. It concludes by presenting open research issues associated with smart IoT-femtocell based applications.
Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book Make better business decisions and acquire greater control of your IoT infrastructure Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn Overcome the challenges IoT data brings to analytics Understand the variety of transmission protocols for IoT along with their strengths and weaknesses Learn how data flows from the IoT device to the final data set Develop techniques to wring value from IoT data Apply geospatial analytics to IoT data Use machine learning as a predictive method on IoT data Implement best strategies to get the most from IoT analytics Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value. By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. Style and approach This book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quickly
The acclaimed author of Einstein’s Dreams tackles "big questions like the origin of the universe and the nature of consciousness ... in an entertaining and easily digestible way” (Wall Street Journal) with a collection of meditative essays on the possibilities—and impossibilities—of nothingness and infinity, and how our place in the cosmos falls somewhere in between. Can space be divided into smaller and smaller units, ad infinitum? Does space extend to larger and larger regions, on and on to infinity? Is consciousness reducible to the material brain and its neurons? What was the origin of life, and can biologists create life from scratch in the lab? Physicist and novelist Alan Lightman, whom The Washington Post has called “the poet laureate of science writers,” explores these questions and more—from the anatomy of a smile to the capriciousness of memory to the specialness of life in the universe to what came before the Big Bang. Probable Impossibilities is a deeply engaged consideration of what we know of the universe, of life and the mind, and of things vastly larger and smaller than ourselves.