This work provides users and designers of industrial control and monitoring systems with an easy-to-use, yet effective, method to configure, design, and validate human-machine interfaces. It includes systems such as distributed control systems, supervisory control and data acquisition systems, and stand-alone units.

This groundbreaking text/lab manual introduces significant concepts in the fields of Human Machine Interface (HMI) and Programmable Logic Controllers. Hands-on, step-by-step activities provide experiences in creating various process-control applications with HMI devices and software--programming that enables an HMI system operator to interface and interact directly with the system. This book is ideal for introducing high school and college students, plus those in the professional fields of process control and automation, to the capabilities and potential of HMI. Features Introduces students and those in industry to the capabilities of Human Machine Interface. The text and activities, while ranging from basic to more advanced, assume no prior experience working with HMI devices and software. Readers experiment with programming that enables an HMI system operator to interface and interact directly with the system The many hands-on lab activities provide experience in creating and working with the type of process control applications that are used extensively in manufacturing. Includes key information on connecting HMI to Programmable Logic Controllers. Focuses primarily on Allen Bradley devices and Rockwell software, but concepts covered are that are applicable to various systems.

The Handbook of Human-Machine Interaction features 20 original chapters and a conclusion focusing on human-machine interaction (HMI) from analysis, design and evaluation perspectives. It offers a comprehensive range of principles, methods, techniques and tools to provide the reader with a clear knowledge of the current academic and industry practice and debate that define the field. The text considers physical, cognitive, social and emotional aspects and is illustrated by key application domains such as aerospace, automotive, medicine and defence. Above all, this volume is designed as a research guide that will both inform readers on the basics of human-machine interaction from academic and industrial perspectives and also provide a view ahead at the means through which human-centered designers, including engineers and human factors specialists, will attempt to design and develop human-machine systems.

This textbook presents a comprehensive treatment of touch technologies, explaining current mainstream and new contact/non-contact based human-machine interactivity (HMI) techniques, which are ubiquitous in modern electronic devices and allow machines to exchange information with users in an efficient and reliable manner. The book provides a detailed study of HMI working principles and practical product examples. Haptic, which has become essential for users to gain immersive experience, is also discussed. The book concludes with an overview of novel applications enabled by emerging technologies, such as advanced materials, virtual reality and machine learning, providing a roadmap for possible development trends for touch interactivities. The book can be used as a graduate text for students in display and touch interface technology courses in electrical and computer engineering, and a professional reference for researchers, practicing engineers, and product designers working in broad areas of engineering. Helps students understand the working principles of current touch technologies; Offers design considerations for prototypes and products; Provides seamless connectivity between broad subject areas involved in HMI, including material science, microelectronic circuits, mechanical engineering, and digital signal processing.

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

As the sophistication of cyber-attacks increases, understanding how to defend critical infrastructure systems—energy production, water, gas, and other vital systems—becomes more important, and heavily mandated. Industrial Network Security, Second Edition arms you with the knowledge you need to understand the vulnerabilities of these distributed supervisory and control systems. The book examines the unique protocols and applications that are the foundation of industrial control systems, and provides clear guidelines for their protection. This how-to guide gives you thorough understanding of the unique challenges facing critical infrastructures, new guidelines and security measures for critical infrastructure protection, knowledge of new and evolving security tools, and pointers on SCADA protocols and security implementation. - All-new real-world examples of attacks against control systems, and more diagrams of systems - Expanded coverage of protocols such as 61850, Ethernet/IP, CIP, ISA-99, and the evolution to IEC62443 - Expanded coverage of Smart Grid security - New coverage of signature-based detection, exploit-based vs. vulnerability-based detection, and signature reverse engineering

Publisher description

This Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI). The Editors Prof. Dr.-Ing. Thorsten Schüppstuhl is head of the Institute of Aircraft Production Technology (IFPT) at the Hamburg University of Technology. Prof. Dr.-Ing. Kirsten Tracht is head of the Bremen Institute for Mechanical Engineering (bime) at the University of Bremen. Prof. Dr.-Ing. Annika Raatz is head of the Institute of Assembly Technology (match) at the Leibniz University Hannover.

AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.