This book is written based upon VEE Pro Version 6.2. It contains eighteen lessons and six appendixes. The labs within the lessons introduce ActiveX support, MATLAB® functionality and display capabilities, and support for the new GPIB converters. VEE Pro Version 6.2 is backwards compatible to at least VEE version 5.01. The labs of all eighteen lessons included in this book have been verified, opened, and run in versions 5.01, 6.01, and 6.2. Programs that work in versions 6 will work similarly in versions 5. Previous editions of this book have been used successfully with three groups of students applying VEE to laboratory experiments, manufacturing systems, and process-control applications. VEE Pro is popular among technicians, technologists, and design engineers as well as with engineers and scientists. We have prepared this book with the former group in mind. For those of you who are interested in learning VEE Pro in greater depth than is presented in this book or are designing complex analysis and monitoring systems, there are four excellent books: • VEE Pro User’s Guide; Chapter 12 (Platform Specifics and Web Monitoring) • VEE Pro User’s Guide; Additional Lab Exercises (Appendix A) • VEE Pro Advanced Programming Techniques • Agilent IO Libraries Installation and Configuration Guide for Windows Recent improvements from Agilent can be accessed via the www.agilent.com Web site. The latest VEE Pro developments and on-line HELP are included as well.

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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.