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Books > Computing & IT
Present the computer concepts and Microsoft (R) Office 2016 skills
perfect for your Introduction to Computing course with ILLUSTRATED
COMPUTER CONCEPTS AND MICROSOFT (R) OFFICE 365 & OFFICE 2016.
This all-in-one book makes the computer concepts and skills your
students need to know easily accessible. The user-friendly two-page
spread found throughout this and other popular Illustrated
Microsoft (R) Office 2016 books clearly demonstrates key
application skills. Today's most up-to-date technology developments
and concepts are clarified using the distinctive step-by-step
approach and the latest content from COMPUTER CONCEPTS ILLUSTRATED
BRIEF. This edition highlights new Office features with a new
module covering Productivity Apps. You'll find a wealth of
instructional support and resources, including MindTap customized
learning paths to reinforce the important skills and theories found
in ILLUSTRATED COMPUTER CONCEPTS AND MICROSOFT (R) OFFICE 365 &
OFFICE 2016.
Recent years have seen a proliferation of cybersecurity guidance in
the form of government regulations and standards with which
organizations must comply. As society becomes more heavily
dependent on cyberspace, increasing levels of security measures
will need to be established and maintained to protect the
confidentiality, integrity, and availability of information; the
privacy of consumers; and the continuity of economic activity.
Compliance is a measure of the extent to which a current state is
in conformance with a desired state. The desired state is commonly
operationalized through specific business objectives, professional
standards, and regulations. Assurance services provide a means of
evaluating the level of compliance with various cybersecurity
requirements. The proposed book will summarize current
cybersecurity guidance and provide a compendium of innovative and
state-of-the-art compliance and assurance practices and tools that
can function both as a reference and pedagogical source for
practitioners and educators. This publication will provide a
synopsis of current cybersecurity guidance that organizations
should consider in establishing and updating their cybersecurity
systems. Assurance services will also be addressed so that
management and their auditors can regularly evaluate their extent
of compliance. This book should be published because its theme will
provide company management, practitioners, and academics with a
good summary of current guidance and how to conduct assurance of
appropriate compliance.
The successful deployment of AI solutions in manufacturing
environments hinges on their security, safety and reliability which
becomes more challenging in settings where multiple AI systems
(e.g., industrial robots, robotic cells, Deep Neural Networks
(DNNs)) interact as atomic systems and with humans. To guarantee
the safe and reliable operation of AI systems in the shopfloor,
there is a need to address many challenges in the scope of complex,
heterogeneous, dynamic and unpredictable environments.
Specifically, data reliability, human machine interaction,
security, transparency and explainability challenges need to be
addressed at the same time. Recent advances in AI research (e.g.,
in deep neural networks security and explainable AI (XAI) systems),
coupled with novel research outcomes in the formal specification
and verification of AI systems provide a sound basis for safe and
reliable AI deployments in production lines. Moreover, the legal
and regulatory dimension of safe and reliable AI solutions in
production lines must be considered as well.To address some of the
above listed challenges, fifteen European Organizations collaborate
in the scope of the STAR project, a research initiative funded by
the European Commission in the scope of its H2020 program (Grant
Agreement Number: 956573). STAR researches, develops, and validates
novel technologies that enable AI systems to acquire knowledge in
order to take timely and safe decisions in dynamic and
unpredictable environments. Moreover, the project researches and
delivers approaches that enable AI systems to confront
sophisticated adversaries and to remain robust against security
attacks.This book is co-authored by the STAR consortium members and
provides a review of technologies, techniques and systems for
trusted, ethical, and secure AI in manufacturing. The different
chapters of the book cover systems and technologies for industrial
data reliability, responsible and transparent artificial
intelligence systems, human centered manufacturing systems such as
human-centred digital twins, cyber-defence in AI systems, simulated
reality systems, human robot collaboration systems, as well as
automated mobile robots for manufacturing environments. A variety
of cutting-edge AI technologies are employed by these systems
including deep neural networks, reinforcement learning systems, and
explainable artificial intelligence systems. Furthermore, relevant
standards and applicable regulations are discussed. Beyond
reviewing state of the art standards and technologies, the book
illustrates how the STAR research goes beyond the state of the art,
towards enabling and showcasing human-centred technologies in
production lines. Emphasis is put on dynamic human in the loop
scenarios, where ethical, transparent, and trusted AI systems
co-exist with human workers. The book is made available as an open
access publication, which could make it broadly and freely
available to the AI and smart manufacturing communities.
Blockchain has potential to revolutionize how manufacturers design,
engineer, make and scale their products. Blockchain is gradually
proving to be an effective "middleware" solution for enabling
seamless interoperability within complex supply chains. Due to its
technological nature, blockchain enables secure, transparent and
fast data exchanges as well as allowing for the creation of
immutable records databases The main advantage of Blockchain in
Manufacturing Industries is product traceability, supply chain
transparency, compliance monitoring, and auditability. Moreover,
leveraging blockchain technology into a manufacturing enterprise
can enhance its security and reduce the rates of systematic
failures. So, blockchain is now used in various sectors of the
manufacturing industry, such as automotive, aerospace, defense,
pharmaceutical, consumer electronics, textile, food and beverages,
and more. Hence, Blockchain should be seen as an investment in
future-readiness and customer-centricity, not as an experimental
technology - because, the evidence is overwhelming. This book will
explore the strengths of Blockchain adaptation in Manufacturing
Industries and Logistics Management, cover different use cases of
Blockchain Technology for Manufacturing Industries and Logistics
Management, and will discuss the role, impact and challenges of
adopting Blockchain in Manufacturing industries and Logistics
Management. The chapters will also provide the current open issues
and future research trends of Blockchain, especially for
Manufacturing Industries and Logistics, and will encapsulate
quantitative and qualitative research for a wide spectrum of
readers of the book.
Digital Manufacturing: The Industrialization of "Art to Part" 3D
Additive Printing explains everything needed to understand how
recent advances in materials science, manufacturing engineering and
digital design have integrated to create exciting new capabilities.
Sections discuss relevant fundamentals in mechanical engineering
and materials science and complex and practical topics in additive
manufacturing, such as part manufacturing, all in the context of
the modern digital design environment. Being successful in today's
"art to part" cyber-physical manufacturing age requires a strong
grounding in science and engineering fundamentals as well as
knowledge of the latest techniques, all of which readers will find
here. Every chapter is developed by leading specialists and based
on first-hand experiences, capturing the essential knowledge
readers need to solve problems related to digital manufacturing.
Opinion Mining and Text Analytics on Literary Works and Social
Media introduces the use of artificial intelligence and big data
analytics techniques which can apply opinion mining and text
analytics on literary works and social media. This book focuses on
theories, method and approaches in which data analytic techniques
can be used to analyze data from social media, literary books,
novels, news, texts, and beyond to provide a meaningful pattern.
The subject area of this book is multidisciplinary; related to data
science, artificial intelligence, social science and humanities,
and literature. This is an essential resource for scholars,
Students and lecturers from various fields of data science,
artificial intelligence, social science and humanities, and
literature, university libraries, new agencies, and many more.
Create, Explore, and ... Color with The Official Minecraft Coloring
Book! Based on Minecraft, the best-selling video game of all time,
this action-packed coloring book lets kids color their way through
nearly 50 epic pages of original art inspired by the expansive,
wondrous, and never-ending world of Minecraft.
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