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Author: Philip Yogi
Publisher: 에스티엠연구소
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 184
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Book Description
This book was written to help readers understand and utilize the concept of a smart factory by establishing a Data Acquisition System (DAS), which automatically collects sensor signals and data related to facility/process in real-time. It covers topics such as how to bring collected data from the server into Excel and R for practical use, as well as introducing machine learning. This is not an introduction of products such as a Vision System that uses smart cameras and AI functions to screen defective products, an automatic recognition parking system for vehicle license plates, or a smart farm (intelligent farm) that utilizes AI sensors. Instead, this book introduces the basics and principles of artificial intelligence (machine learning, deep learning). By understanding the basics and principles, it becomes easy to apply them in practice. This book is not limited to specific readers, but is aimed at the following: ● Individuals or companies interested in real-time automatic data collection systems for equipment/process lines ● Individuals or companies who want to establish a server at a low cost and utilize it with DAS ● Those who want to gain experience with IoT (Internet of things), servers, big data, R, etc. ● Companies planning and promoting the establishment of a DIY smart factory and wanting to operate it successfully ● Companies expecting savings more than 70% of ICT CAPEX with Low-Code/No-Code Development, OSS and general-purpose SCADA software ● Individuals who want to understand the basics and principles of artificial intelligence and apply them easily DAS, translated literally as "Data Acquisition System," is practically expressed as a real-time automatic data collection system. This concept involves reading sensor signals in real-time and automatically storing the data in a computer, instead of manually inputting data into a computer. DAS forms the foundation of smart factories, artificial intelligence (AI), big data, autonomous driving, the Internet of things (IoT), MES, and its importance is increasingly growing in our daily lives. However, these important systems or functions are not widely implemented or utilized in our small and medium-sized manufacturing sites. This is undoubtedly a weakness when compared to global advanced small and medium-sized enterprises. The contents of this book are essential knowledge for all employees of a company related to smart factories, and it provides guidance for successfully establishing and operating a smart factory. Additionally, it offers a path for future entrepreneurs and current manufacturing practitioners and business people to have manufacturing competitiveness in mind. This book is designed to help non-IT professionals easily access and understand the basic programming aspects of smart factories, enabling them to have a convergent mindset as practitioners. It provides ways to approach programming in a user-friendly manner, allowing for a better understanding of the field.
Author: Philip Yogi
Publisher: 에스티엠연구소
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 184
Get Book Here
Book Description
This book was written to help readers understand and utilize the concept of a smart factory by establishing a Data Acquisition System (DAS), which automatically collects sensor signals and data related to facility/process in real-time. It covers topics such as how to bring collected data from the server into Excel and R for practical use, as well as introducing machine learning. This is not an introduction of products such as a Vision System that uses smart cameras and AI functions to screen defective products, an automatic recognition parking system for vehicle license plates, or a smart farm (intelligent farm) that utilizes AI sensors. Instead, this book introduces the basics and principles of artificial intelligence (machine learning, deep learning). By understanding the basics and principles, it becomes easy to apply them in practice. This book is not limited to specific readers, but is aimed at the following: ● Individuals or companies interested in real-time automatic data collection systems for equipment/process lines ● Individuals or companies who want to establish a server at a low cost and utilize it with DAS ● Those who want to gain experience with IoT (Internet of things), servers, big data, R, etc. ● Companies planning and promoting the establishment of a DIY smart factory and wanting to operate it successfully ● Companies expecting savings more than 70% of ICT CAPEX with Low-Code/No-Code Development, OSS and general-purpose SCADA software ● Individuals who want to understand the basics and principles of artificial intelligence and apply them easily DAS, translated literally as "Data Acquisition System," is practically expressed as a real-time automatic data collection system. This concept involves reading sensor signals in real-time and automatically storing the data in a computer, instead of manually inputting data into a computer. DAS forms the foundation of smart factories, artificial intelligence (AI), big data, autonomous driving, the Internet of things (IoT), MES, and its importance is increasingly growing in our daily lives. However, these important systems or functions are not widely implemented or utilized in our small and medium-sized manufacturing sites. This is undoubtedly a weakness when compared to global advanced small and medium-sized enterprises. The contents of this book are essential knowledge for all employees of a company related to smart factories, and it provides guidance for successfully establishing and operating a smart factory. Additionally, it offers a path for future entrepreneurs and current manufacturing practitioners and business people to have manufacturing competitiveness in mind. This book is designed to help non-IT professionals easily access and understand the basic programming aspects of smart factories, enabling them to have a convergent mindset as practitioners. It provides ways to approach programming in a user-friendly manner, allowing for a better understanding of the field.
Author: Dominik T. Matt
Publisher: Springer Nature
ISBN: 3030705161
Category : Business & Economics
Languages : en
Pages : 449
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Book Description
This open access book addresses the practical challenges that Industry 4.0 presents for SMEs. While large companies are already responding to the changes resulting from the fourth industrial revolution , small businesses are in danger of falling behind due to the lack of examples, best practices and established methods and tools. Following on from the publication of the previous book ‘Industry 4.0 for SMEs: Challenges, Opportunities and Requirements’, the authors offer in this new book innovative results from research on smart manufacturing, smart logistics and managerial models for SMEs. Based on a large scale EU-funded research project involving seven academic institutions from three continents and a network of over fifty small and medium sized enterprises, the book reveals the methods and tools required to support the successful implementation of Industry 4.0 along with practical examples.
Author: Dominik T. Matt
Publisher: Springer Nature
ISBN: 3030254259
Category : Business & Economics
Languages : en
Pages : 435
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Book Description
This open access book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart manufacturing concepts, logistics solutions and managerial models specifically for SMEs. Aiming to provide methodological frameworks and pilot solutions for SMEs during their digital transformation, this innovative and timely book will be of great use to scholars researching technology management, digitization and small business, as well as practitioners within manufacturing companies.
Author: Weidong Li
Publisher: Springer Nature
ISBN: 3030668495
Category : Technology & Engineering
Languages : en
Pages : 224
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Book Description
This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.
Author: Jiafu Wan
Publisher: CRC Press
ISBN: 1000999599
Category : Technology & Engineering
Languages : en
Pages : 471
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Book Description
Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.
Author: Ole Madsen
Publisher: Springer Nature
ISBN: 3031154282
Category : Technology & Engineering
Languages : en
Pages : 432
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Book Description
This book explains and exemplifies how SMEs can embrace the Smart Production approach and technologies in order to gain a beneficiary outcome. The book describes the Smart Production vision for SMEs, as well as the method to get there. The concept behind the book is based on the long-term experience of the authors in researching and tackling problems of SMEs in the manufacturing sector. The book provides applied methods and obtained solutions in different branches and different sizes of SMEs, encompassing a broad survey of our markets and societies. The perspective is systemic/holistic and integrated including human, organizational, technological, and digital perspectives.
Author: Pradeep Kumar Mallick
Publisher: Springer Nature
ISBN: 9811687633
Category : Technology & Engineering
Languages : en
Pages : 779
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Book Description
This book presents best selected research papers presented at the 4th International Conference on Cognitive Informatics and Soft Computing (CISC 2021), held at Balasore College of Engineering & Technology, Balasore, Odisha, India, from 21–22 August 2021. It highlights, in particular, innovative research in the fields of cognitive informatics, cognitive computing, computational intelligence, advanced computing, and hybrid intelligent models and applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of computer science, artificial intelligence, cybernetics, automation control theory, and software engineering.
Author: Hossain, Syed Far Abid
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 392
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Book Description
Businesses must confront a pressing challenge—how to navigate the turbulent seas of market dynamics and technological advancements. As traditional business models face obsolescence in the wake of relentless innovation, enterprises failing to quickly to harness the power of advanced technologies risk fading into obscurity. This predicament sets the stage for a critical exploration of the profound impact of artificial intelligence (AI) and smart technology on the sustainability of entrepreneurial ventures. Without a strategic embrace of these innovations, businesses find themselves adrift, struggling to cope with the demands of a rapidly evolving market. Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship serves as a guide for entrepreneurs seeking to thrive in this era of unprecedented change. Readers begin with a deep dive into the challenges faced by contemporary businesses. This book meticulously dissects these challenges and provides guidance for those ready to chart a course toward sustainable success by leveraging the transformative and compelling aptitudes of AI. The proposed solution of the integration of AI and smart technologies into the business landscape is one of great promise.
Author: Ann-Louise Andersen
Publisher: Springer Nature
ISBN: 3030907007
Category : Technology & Engineering
Languages : en
Pages : 1054
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Book Description
This book features state-of-the-art contributions from two well-established conferences: Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2020) and Mass Customization and Personalization Conference (MCPC2020). Together, they focus on the joint design, development, and management of products, production systems, and business for sustainable customization and personalization. The book covers a large range of topics within this domain, ranging from industrial success factors to original contributions within the field.
Author: Hemachandran K
Publisher: CRC Press
ISBN: 1000968863
Category : Business & Economics
Languages : en
Pages : 373
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Book Description
Artificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. This book is an exploration of AI in business applications, highlighting the diverse range of ways in which AI is being used across different industries. The book begins with an overview of AI in business and its impact on the workforce. It then explores the role of AI in marketing, advertising, and tourism. The use of AI in personalized recommendations and chatbots is discussed in detail. The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience. The media and entertainment industry is also examined, with a focus on how AI is being used to personalize content and improve the user experience. The book also explores the use of AI in human resources, insurance, legal, and finance. The impact of AI on talent identification, recruitment, underwriting, document analysis, and financial forecasting is discussed in detail. In the healthcare and sports industries, AI is transforming the way we approach diagnosis, treatment, and training. The book examines how AI is being used to analyse medical images, develop personalized treatment plans, and improve patient outcomes. The use of AI in sports performance analysis is also discussed in detail. Finally, the book explores the use of AI in agriculture, energy, education, and the public sector. The potential of AI to optimize crop yields, reduce energy consumption, and improve the quality of education is discussed in detail. The book also examines how AI is being used to improve public services, such as transportation and emergency services. This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors. The book also examines the ethical dilemmas that arise from the use of AI in business, such as the impact on privacy and data security, and the potential for bias in AI algorithms. It provides valuable insights into how businesses can ensure that the use of AI is ethical and responsible. In conclusion, this book is a must-read for anyone interested in the potential of AI in the business world. It provides a comprehensive overview of AI in business applications and how it is transforming different sectors. The book examines the ethical dilemmas that arise from the use of AI in business, providing valuable insights into how businesses can ensure that the use of AI is ethical and responsible. We hope that readers will find this book informative and thought-provoking.
