|
Showing 1 - 5 of
5 matches in All Departments
Industry 4.0 is the latest technological innovation in
manufacturing with the goal to increase productivity in a flexible
and efficient manner. Changing the way in which manufacturers
operate, this revolutionary transformation is powered by various
technology advances including Big Data analytics, Internet of
Things (IoT), Artificial Intelligence (AI), and cloud computing.
Big Data analytics has been identified as one of the significant
components of Industry 4.0, as it provides valuable insights for
smart factory management. Big Data and Industry 4.0 have the
potential to reduce resource consumption and optimize processes,
thereby playing a key role in achieving sustainable development.
Big Data Applications in Industry 4.0 covers the recent
advancements that have emerged in the field of Big Data and its
applications. The book introduces the concepts and advanced tools
and technologies for representing and processing Big Data. It also
covers applications of Big Data in such domains as financial
services, education, healthcare, biomedical research, logistics,
and warehouse management. Researchers, students, scientists,
engineers, and statisticians can turn to this book to learn about
concepts, technologies, and applications that solve real-world
problems. Features An introduction to data science and the types of
data analytics methods accessible today An overview of data
integration concepts, methodologies, and solutions A general
framework of forecasting principles and applications, as well as
basic forecasting models including naive, moving average, and
exponential smoothing models A detailed roadmap of the Big Data
evolution and its related technological transformation in
computing, along with a brief description of related terminologies
The application of Industry 4.0 and Big Data in the field of
education The features, prospects, and significant role of Big Data
in the banking industry, as well as various use cases of Big Data
in banking, finance services, and insurance Implementing a Data
Lake (DL) in the cloud and the significance of a data lake in
decision making
This book examines the fundamentals and technologies of Artificial
Intelligence (AI) and describes their tools, challenges, and
issues. It also explains relevant theory as well as industrial
applications in various domains, such as healthcare, economics,
education, product development, agriculture, human resource
management, environmental management, and marketing. The book is a
boon to students, software developers, teachers, members of boards
of studies, and researchers who need a reference resource on
artificial intelligence and its applications and is primarily
intended for use in courses offered by higher education
institutions that strive to equip their graduates with Industry 4.0
skills. FEATURES: Gender disparity in the enterprises involved in
the development of AI-based software development as well as
solutions to eradicate such gender bias in the AI world A general
framework for AI in environmental management, smart farming,
e-waste management, and smart energy optimization The potential and
application of AI in medical imaging as well as the challenges of
AI in precision medicine AI's role in the diagnosis of various
diseases, such as cancer and diabetes The role of machine learning
models in product development and statistically monitoring product
quality Machine learning to make robust and effective economic
policy decisions Machine learning and data mining approaches to
provide better video indexing mechanisms resulting in better
searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice
Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr.
T. Devi is Professor and Head of the Department of Computer
Applications, Bharathiar University, Coimbatore, India.
Augmented Reality (AR) has many advantages that include increased
engagement and interaction as well as enhanced innovation and
responsiveness. AR technology has applications in almost all
domains such as medical training, retail, repair and maintenance of
complex equipment, interior design in architecture and
construction, business logistics, tourism, and classroom education.
Innovating with Augmented Reality: Applications in Education and
Industry explains the concepts behind AR, explores some of its
application areas, and gives an in-depth look at how this
technology aligns with Education 4.0. Due to the rapid advancements
in technology, future education systems must prepare students to
work with the latest technologies by enabling them to learn
virtually in augmented ways in varied platforms. By providing an
illusion of physical objects, which takes the students to a new
world of imagination, AR and Virtual Reality (VR) create virtual
and interactive environments for better learning and understanding.
AR applications in education are covered in four chapters of this
book, including a chapter on how gamification can be made use of in
the teaching and learning process. The book also covers other
application areas of AR and VR. One such application area is the
food and beverage industry with case studies on virtual 3D food,
employee training, product-customer interaction, restaurant
entertainment, restaurant tours, and product packaging. The
application of AR in the healthcare sector, medical education, and
related devices and software are examined in the book's final
chapter. The book also provides an overview of the game development
software, Unity, a real-time development platform for 2D and 3D AR
and VR, as well as the software tools and techniques used in
developing AR-based apps.
The Industry 4.0 revolution is changing the world around us.
Artificial intelligence and machine learning, automation and
robotics, big data, Internet of Things, augmented reality, virtual
reality, and creativity are the tools of Industry 4.0. Improved
collaboration is seen between smart systems and humans, which
merges humans' critical and cognitive thinking abilities with
highly accurate and fast industrial automation. Securing IoT in
Industry 4.0 Applications with Blockchain examines the role of IoT
in Industry 4.0 and how it can be made secure through various
technologies including blockchain. The book begins with an in-depth
look at IoT and discusses applications, architecture, technologies,
tools, and programming languages. It then examines blockchain and
cybersecurity, as well as how blockchain achieves cybersecurity. It
also looks at cybercrimes and their preventive measures and issues
related to IoT security and trust. Features An overview of how IoT
is used to improve the performance of Industry 4.0 systems The
evolution of the Industrial Internet of Things (IIoT), its
proliferation and market share, and some examples across major
industries An exploration of how smart farming is helping farmers
prevent plant disease The concepts behind the Internet of Nano
Things (IoNT), including the nanomachine and nanonetwork
architecture and nano-communication paradigms A look at how
blockchains can enhance cybersecurity in a variety of applications,
including smart contracts, transferring financial instruments, and
Public Key Infrastructure An overview of the structure and working
of a blockchain, including the types, evolution, benefits, and
applications of blockchain to industries A framework of
technologies designed to shield networks, computers, and data from
malware, vulnerabilities, and unauthorized activities An
explanation of the automation system employed in industries along
with its classification, functionality, flexibility, limitations,
and applications
Unique selling point: Advanced technology and applications in the
education domain Core audience: Academics and researchers Place in
the market: Academic reference book
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|