We have witnessed the growing worldwide trends in moving from digitization to digitalization to digital transformation. In order to survive in today’s environment, organizations must embrace digital transformation. In fact, digital transformation transcends all elements of society, whether agriculture, home, business, transportation, and the like. This book focuses on digital transformation and its impact upon society.
Brought to you by the National Fire Protection Association (NFPA) and the International Association of Fire Chiefs (IAFC), Fire Apparatus Driver/Operator: Pump, Aerial, Tiller, and Mobile Water Supply, Fourth Edition is a complete print and digital training solution that addresses pump operation, safe driving techniques, tiller and aerial apparatus operation, and water supply considerations. From basic apparatus maintenance to fire pump theory to advanced hydraulic calculations, this single manual covers everything a fire service driver/operator needs to know. Fire Apparatus Driver/Operator: Pump, Aerial, Tiller, and Mobile Water Supply, Fourth Edition meets and exceeds the job performance requirements (JPRs) of Chapters 4, 11, 12, 13, 14, and 17 of the 2023 Edition of NFPA 1010, Standard for Firefighter, Fire Apparatus Driver/Operator, Airport Firefighter, and Marine Firefighting for Land-Based Firefighters Professional Qualifications. Find comprehensive and updated content in the new edition: – New photographs of current apparatuses and tools – New illustrations to help outline the equation examples – New videos to help demonstrate driver/operator skills – New friction coefficient table in Chapter 7 provides accurate measurements – Much more In addition, the Navigate digital resources for instructors and students include an eBook, audiobook, learning objectives, lecture outline, lecture slides, flashcards, skill drills, videos, and TestPrep. Table of Contents Chapter 1 Evolution of the Fire Apparatus and History of the Fire Service Chapter 2 Driver Attributes, Training, and Selection Chapter 3 Types of Fire Apparatus Chapter 4 Water and Water Supply Chapter 5 The Fire Pump Chapter 6 Fire Hose, Appliances, and Nozzles Chapter 7 Mathematics for the Driver/Operator Chapter 8 Performing Fire Apparatus Check-Out and Maintenance Chapter 9 Driving Fire Apparatus Chapter 10 Emergency Vehicle Driving Chapter 11 Fireground Operations Chapter 12 Drafting and Water Shuttle Operations Chapter 13 Relay Pump Operations Chapter 14 Water Additives: Emulsifiers, Foams, and Wetting Agents Chapter 15: Apparatus Equipped with an Aerial Device Chapter 16: Driving Apparatus Equipped with a Tiller Chapter 17: Operating Apparatus Equipped with a Tiller Chapter 18: Testing, Maintaining, and Troubleshooting Aerial and Tiller Apparatus Chapter 19: Performance Testing Chapter 20: Fire Service Communications Appendix A: Daily/Weekly Inspection Check Sheet Appendix B: An Extract from NFPA 1010 Appendix C: NFPA 1010 Correlation Guide Appendix D: Driver/Operator Firefighter I Correlation Glossary Index
This book is the third volume in the New Era Electronics lecture notes series; a compilation of volumes defining the important concepts tied to the electronics transition happening in the 21st century.The material is adapted from a unique course that connects three diverse fields — statistical mechanics, neural networks and quantum computing — using the unifying concept of a state-space with 2N dimensions defined by N binary bits. First, the seminal concepts of statistical mechanics, developed to describe natural interacting systems, are described. Then, these concepts are connected to engineering interacting systems like Boltzmann Machines (BM), which are cleverly designed to solve important problems in machine learning. Finally, we connect to engineered quantum systems, stressing the key role of quantum interference in distinguishing them from classical systems like BM.Assuming only a basic background in differential equations and linear algebra, this book is accessible to broader audiences across its described topics, including students in physics, engineering and computing, as well as professionals working actively in the technical fields looking for a primer to quantum computational methods.
This book presents the theory of non-equilibrium thermodynamics in a pedagogical and practical way that targets engineering applications. In it, tools to take advantage of the second as well as the first law of thermodynamics are provided.The book starts by explaining how the entropy production is the cornerstone of non-equilibrium thermodynamics — the basis to describe coupled transport phenomena, which are highly relevant for several renewable energy technologies. The book also uses entropy production as the foundation for a systematic methodology to analyze and improve energy efficiency, and shows how entropy production can be used to test the consistency of transport models. The link between transport theory and energy efficiency is also shown, and the relationship to exergy analysis is demonstrated. The theory is applied using examples from practical cases like evaporation, heat exchange, reactor optimization, distillation and more.Non-Equilibrium Thermodynamics for Engineering Applications may be used as a textbook for undergraduate and graduate university curricula containing thermodynamics or energy conversion issues at large, chemical and mechanical engineering, applied chemistry and applied physics.
This book is the third volume in the New Era Electronics lecture notes series; a compilation of volumes defining the important concepts tied to the electronics transition happening in the 21st century.The material is adapted from a unique course that connects three diverse fields — statistical mechanics, neural networks and quantum computing — using the unifying concept of a state-space with 2N dimensions defined by N binary bits. First, the seminal concepts of statistical mechanics, developed to describe natural interacting systems, are described. Then, these concepts are connected to engineering interacting systems like Boltzmann Machines (BM), which are cleverly designed to solve important problems in machine learning. Finally, we connect to engineered quantum systems, stressing the key role of quantum interference in distinguishing them from classical systems like BM.Assuming only a basic background in differential equations and linear algebra, this book is accessible to broader audiences across its described topics, including students in physics, engineering and computing, as well as professionals working actively in the technical fields looking for a primer to quantum computational methods.