Hmi Human Machine Interface Software


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Human Machine Interface


Human Machine Interface

Author: Samuel Guccione

language: en

Publisher: Industrial Press

Release Date: 2016


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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.

Human-Machine Interface


Human-Machine Interface

Author: Rishabha Malviya

language: en

Publisher: John Wiley & Sons

Release Date: 2023-11-15


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HUMAN-MACHINE INTERFACE The book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI). The Human-Machine Interface (HMI) industry has witnessed the evolution from a simple push button to a modern touch-screen display. HMI is a user interface that allows humans to operate controllers for machines, systems, or instruments. Most medical procedures are improved by HMI systems, from calling an ambulance to ensuring that a patient receives adequate treatment on time. This book describes the scenario of biomedical technologies in the context of the advanced HMI, with a focus on direct brain-computer connection. The book describes several HMI tools and related techniques for analyzing, creating, controlling, and upgrading healthcare delivery systems, and provides details regarding how advancements in technology, particularly HMI, ensure ethical and fair use in patient care. Audience The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence.

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications


Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Author: Raut, Roshani

language: en

Publisher: IGI Global

Release Date: 2021-01-29


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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.