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Learning In Automated Manufacturing
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Book Synopsis Learn Everything about Factory Automation by : Avinash Malekar
Download or read book Learn Everything about Factory Automation written by Avinash Malekar and published by . This book was released on 2021-08-22 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial automation is one of the booming industries nowadays. Every industry employs automation to increase its productivity, quality of work and fulfill maximum consumers' demands. Therefore, the requirement of automation solutions has also increased exponentially in this decade. Also, automation has opened doors of many opportunities for skilled professionals. Due to increasing demands of skilled professionals, it is necessary for engineers to upgrade their knowledge and skills to meet such requirements. Hence, this book has been written in such a way that students as well as working professionals who wish to learn about automation can go for this book. Because, this book covers all aspects of automation from scratch. The knowledge of this book will work like a candle in their professional journey. After completion of this book, students or professionals will come to know hardwares as well as softwares which are used in automation. They can even write their own program.
Book Synopsis Teaching Machines by : Audrey Watters
Download or read book Teaching Machines written by Audrey Watters and published by MIT Press. This book was released on 2023-02-07 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.
Book Synopsis Machine Learning in Industry by : Shubhabrata Datta
Download or read book Machine Learning in Industry written by Shubhabrata Datta and published by Springer Nature. This book was released on 2021-07-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
Book Synopsis Modern Industrial Automation Software Design by : Lingfeng Wang
Download or read book Modern Industrial Automation Software Design written by Lingfeng Wang and published by John Wiley & Sons. This book was released on 2006-01-20 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main subjects in this book relate to software development using cutting-edge technologies for real-world industrial automation applications A hands-on approach to applying a wide variety of emerging technologies to modern industrial practice problems Explains key concepts through clear examples, ranging from simple to more complex problem domains, and all based on real-world industrial problems A useful reference book for practicing engineers as well as an updated resource book for researchers
Book Synopsis Automation Made Easy by : Peter G. Martin
Download or read book Automation Made Easy written by Peter G. Martin and published by ISA. This book was released on 2009 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a quick glance at the plant floor, it is very easy to see the industrial automation industry interoperates with other functions within the enterprise. Trying to keep up with changing technologies, however, is never easy and the industrial automation environment is no exception. Whether you are a student just starting out or are a top-level executive or manager well-versed in one domain, but have limited knowledge of the industrial automation industry, itA's easy to find yourself adrift in this evolving industry. That is where this easy-to-read book comes in; it provides a basic functional understanding in the field of industrial automation. In an effort to understand this industry, the authors break down the barriers and confusion surrounding the technical details and terminology used in this converging field. They provide an introductory-level approach, covering most of the major industrial automation topics, such as distributed control systems (DCSs), programmable logic controllers (PLCs), manufacturing execution systems (MESs), and so on. You may even learn a recipe or two. This book is ideal for executives, business managers, information technologists, accountants, maintenance professionals, operators, production planners, just to name a few, and provides an in-depth but easy overview for people new to the field who want to quickly educate themselves.
Book Synopsis Explainable AI: Interpreting, Explaining and Visualizing Deep Learning by : Wojciech Samek
Download or read book Explainable AI: Interpreting, Explaining and Visualizing Deep Learning written by Wojciech Samek and published by Springer Nature. This book was released on 2019-09-10 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.
Book Synopsis Advanced Robotics and Intelligent Automation in Manufacturing by : Habib, Maki K.
Download or read book Advanced Robotics and Intelligent Automation in Manufacturing written by Habib, Maki K. and published by IGI Global. This book was released on 2019-11-15 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: While human capabilities can withstand broad levels of strain, they cannot hope to compete with the advanced abilities of automated technologies. Developing advanced robotic systems will provide a better, faster means to produce goods and deliver a level of seamless communication and synchronization that exceeds human skill. Advanced Robotics and Intelligent Automation in Manufacturing is a pivotal reference source that provides vital research on the application of advanced manufacturing technologies in regards to production speed, quality, and innovation. While highlighting topics such as human-machine interaction, quality management, and sensor integration, this publication explores state-of-the-art technologies in the field of robotics engineering as well as human-robot interaction. This book is ideally designed for researchers, students, engineers, manufacturers, managers, industry professionals, and academicians seeking to enhance their innovative design capabilities.
Book Synopsis Hands-On Automated Machine Learning by : Sibanjan Das
Download or read book Hands-On Automated Machine Learning written by Sibanjan Das and published by Packt Publishing Ltd. This book was released on 2018-04-26 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine learning components Understand each component of a machine learning pipeline in depth Learn to use different open source AutoML and feature engineering platforms Book Description AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions. What you will learn Understand the fundamentals of Automated Machine Learning systems Explore auto-sklearn and MLBox for AutoML tasks Automate your preprocessing methods along with feature transformation Enhance feature selection and generation using the Python stack Assemble individual components of ML into a complete AutoML framework Demystify hyperparameter tuning to optimize your ML models Dive into Machine Learning concepts such as neural networks and autoencoders Understand the information costs and trade-offs associated with AutoML Who this book is for If you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book.
Book Synopsis Industrial Control Electronics by : Terry L.M. Bartelt
Download or read book Industrial Control Electronics written by Terry L.M. Bartelt and published by Cengage Learning. This book was released on 2012-08-01 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition continues to provide state-of-the-art coverage of the entire spectrum of industrial control, from servomechanisms to instrumentation. Material on the components, circuits, instruments, and control techniques used in today's industrial automated systems has been fully updated to include new information on thyristors and sensor interfacing and updated information on AC variable speed drives. Following an overview of an industrial control loop, readers may delve into individual sections that explore each element of the loop in detail. This logical format offers the flexibility needed to use the book effectively in a variety of courses, from electric motors to servomechanisms, programmable controllers, and more! Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Book Synopsis Industrial Applications of Machine Learning by : Pedro Larrañaga
Download or read book Industrial Applications of Machine Learning written by Pedro Larrañaga and published by CRC Press. This book was released on 2018-12-12 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. Features Describes the opportunities, challenges, issues, and trends offered by the fourth industrial revolution Provides a user-friendly introduction to machine learning with examples of cutting-edge applications in different industrial sectors Includes four case studies addressing real-world industrial problems solved with machine learning techniques A dedicated website for the book contains the datasets of the case studies for the reader's reproduction, enabling the groundwork for future problem-solving Uses of three of the most widespread software and programming languages within the engineering and data science communities, namely R, Python, and Weka
Book Synopsis Automated Machine Learning by : Frank Hutter
Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Book Synopsis Machine Learning Automation with TPOT by : Dario Radecic
Download or read book Machine Learning Automation with TPOT written by Dario Radecic and published by Packt Publishing Ltd. This book was released on 2021-05-07 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural network.Tune TPOT models to ensure optimum performance on previously unseen data.Book Description The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods. With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets. By the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level. What you will learnGet to grips with building automated machine learning modelsBuild classification and regression models with impressive accuracy in a short timeDevelop neural network classifiers with AutoML techniquesCompare AutoML models with traditional, manually developed models on the same datasetsCreate robust, production-ready modelsEvaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-scoreGet hands-on with deployment using Flask-RESTful on localhostWho this book is for Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.
Book Synopsis Site Reliability Engineering by : Niall Richard Murphy
Download or read book Site Reliability Engineering written by Niall Richard Murphy and published by "O'Reilly Media, Inc.". This book was released on 2016-03-23 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use
Book Synopsis Advanced PLC Hardware & Programming by : Frank Lamb
Download or read book Advanced PLC Hardware & Programming written by Frank Lamb and published by . This book was released on 2019-04-08 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete tutorial on PLCs, their history and purpose. Includes a generic non-brand specific tutorial on the basics common to all PLCs, an advanced section on program organization and techniques used in industry, and a more in-depth look at Allen-Bradley and Siemens platforms. Exercises with solutions and a complete lab program are included also.
Book Synopsis PLC Controls with Ladder Diagram (LD) by : Tom Mejer Antonsen
Download or read book PLC Controls with Ladder Diagram (LD) written by Tom Mejer Antonsen and published by BoD – Books on Demand. This book was released on 2021-06-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to the programming language Ladder Diagram (LD) used in Programmable Logic Controllers (PLC). The book provides a general introduction to PLC controls and can be used for any PLC brands. With a focus on enabling readers without an electrical education to learn Ladder programming, the book is suitable for learners without prior knowledge of Ladder. The book contains numerous illustrations and program examples, based on real-world, practical problems in the field of automation. CONTENTS - Background, benefits and challenges of Ladder programming - PLC hardware, sensors, and basic Ladder programming - Practical guides and tips to achieve good program structures - Theory and examples of flowcharts, block diagrams and sequence diagrams - Design guide to develop functions and function blocks - Examples of organizing code in program modules and functions - Sequencing using SELF-HOLD, SET/RESET and MOVE/ COMPARE - Complex code examples for a pump station, tank control and conveyor belt - Design, development, testing and simulation of PLC programs The book describes Ladder programming as described in the standard IEC 61131-3. PLC vendors understand this standard in different ways, and not all vendors follows the standard exactly. This will be clear through material from the vendor. This means that some of the program examples in this book may not work as intended in the PLC type you are using. In addition, there is a difference in how the individual PLC type shows graphic symbols and instructions used in Ladder programming. Note: This is a book for beginners and therefore advanced techniques such as ARRAY, LOOPS, STRUCT, ENUM, STRING, PID and FIFO are not included.
Book Synopsis Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications by : Chiong, Raymond
Download or read book Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications written by Chiong, Raymond and published by IGI Global. This book was released on 2009-09-30 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume offers intriguing applications, reviews and additions to the methodology of intelligent computing, presenting the emerging trends of state-of-the-art intelligent systems and their practical applications"--Provided by publisher.
Book Synopsis Automation, Production Systems, and Computer-integrated Manufacturing by : Mikell P. Groover
Download or read book Automation, Production Systems, and Computer-integrated Manufacturing written by Mikell P. Groover and published by Prentice Hall. This book was released on 2008 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exploration of the technical and engineering aspects of automated production systems provides a comprehensive and balanced coverage of the subject. It covers cutting-edge technologies of production automation and material handling, and how these technologies are used to construct modern manufacturing systems.
