Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods.

The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors' firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians. Connected vehicles will soon become a reality on our roads, bringing along new services and capabilities, but also technical challenges and security threats. To overcome these risks, the CARAMEL project has developed several anti-hacking solutions for the new generation of vehicles. CARAMEL (Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles), a research project co-funded by the European Union under the Horizon 2020 framework programme, is a project consortium with 15 organizations from 8 European countries together with 3 Korean partners. The project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility, Connected Mobility, Electromobility, and Remote Control Vehicle. This book presents theory and results from each of these technical directions.

SECURITY AND PRIVACY IN THE INTERNET OF THINGS Provides the authoritative and up-to-date information required for securing IoT architecture and applications The vast amount of data generated by the Internet of Things (IoT) has made information and cyber security vital for not only personal privacy, but also for the sustainability of the IoT itself. Security and Privacy in the Internet of Things brings together high-quality research on IoT security models, architectures, techniques, and application domains. This concise yet comprehensive volume explores state-of-the-art mitigations in IoT security while addressing important security and privacy challenges across different IoT layers. The book provides timely coverage of IoT architecture, security technologies and mechanisms, and applications. The authors outline emerging trends in IoT security and privacy with a focus on areas such as smart environments and e-health. Topics include authentication and access control, attack detection and prevention, securing IoT through traffic modeling, human aspects in IoT security, and IoT hardware security. Presenting the current body of knowledge in a single volume, Security and Privacy in the Internet of Things: Discusses a broad range of IoT attacks and defense mechanisms Examines IoT security and privacy protocols and approaches Covers both the logical and physical security of IoT devices Addresses IoT security through network traffic modeling Describes privacy preserving techniques in smart cities Explores current threat and vulnerability analyses Security and Privacy in the Internet of Things: Architectures, Techniques, and Applications is essential reading for researchers, industry practitioners, and students involved in IoT security development and IoT systems deployment.

Bungie presents the Destiny Grimoire Anthology, a must-have collectible lore compendium designed and assembled for Destiny's devoted and enlightened scholars and lore lovers, as well as fans of fantasy and science fiction storytelling. Until now, the myths, mysteries, and machinations of the Destiny universe were found hidden throughout the worlds-enticing threads that hinted at a greater tapestry. The Destiny Grimoire Anthology weaves tales from multiple sources together for the first time, casting new light on Destiny's most legendary heroes, infamous villains, and their greatest moments of triumph and tragedy. This volume illuminates a facet of the world of Destiny, and challenges players' thoughts and assumptions on what it means to be a Guardian, offering new and differing perspectives on the cosmic war that rages between the Traveler and its ancient enemies.

The clinical use of Artificial Intelligence (AI) in radiation oncology is in its infancy. However, it is certain that AI is capable of making radiation oncology more precise and personalized with improved outcomes. Radiation oncology deploys an array of state-of-the-art technologies for imaging, treatment, planning, simulation, targeting, and quality assurance while managing the massive amount of data involving therapists, dosimetrists, physicists, nurses, technologists, and managers. AI consists of many powerful tools which can process a huge amount of inter-related data to improve accuracy, productivity, and automation in complex operations such as radiation oncology.This book offers an array of AI scientific concepts, and AI technology tools with selected examples of current applications to serve as a one-stop AI resource for the radiation oncology community. The clinical adoption, beyond research, will require ethical considerations and a framework for an overall assessment of AI as a set of powerful tools.30 renowned experts contributed to sixteen chapters organized into six sections: Define the Future, Strategy, AI Tools, AI Applications, and Assessment and Outcomes. The future is defined from a clinical and a technical perspective and the strategy discusses lessons learned from radiology experience in AI and the role of open access data to enhance the performance of AI tools. The AI tools include radiomics, segmentation, knowledge representation, and natural language processing. The AI applications discuss knowledge-based treatment planning and automation, AI-based treatment planning, prediction of radiotherapy toxicity, radiomics in cancer prognostication and treatment response, and the use of AI for mitigation of error propagation. The sixth section elucidates two critical issues in the clinical adoption: ethical issues and the evaluation of AI as a transformative technology.

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more.

5G NR: The Next Generation Wireless Access Technology, Second Edition, follows the authors' highly celebrated books on 3G and 4G and provides a new level of insight into 5G NR. After background discussion of 5G, including requirements, spectrum aspects, and the standardization timeline, all technology features of the first phase of NR are described in detail. The book covers the NR physical-layer structure and higher-layer protocols, RF and spectrum aspects, and co-existence and interworking with LTE. The book provides a good foundation in NR and different NR technology components, giving insight into why a certain solution has been selected. This second edition is updated to reflect the latest developments in Release 16 and includes brand new chapters on: NR in unlicensed spectrum; NR-U in Rel-16; IAB; V2X and sidelink in Rel-16; industrial IoT; IIoT and referring to the URLLC enhancements for PDCCH; RIM/CL; and positioning. Also included are the key radio-related requirements of NR; design principles; technical features of basic NR transmission structure-showing where it was inherited from LTE, where it deviates from it, and the reasons why- NR multi-antenna transmission functionality; detailed description of the signals and functionality of the initial NR access, including signals for synchronization and system information; random access and paging; LTE/NR co-existence in the same spectrum and the benefits of their interworking as one system; and different aspects of mobility in NR. RF requirements for NR are described for BS and UE, the legacy bands, and for the new mm-wave bands.

Superlubricity - the state between sliding systems where friction is reduced to almost immeasurable amounts - holds great potential for improving both the economic and environmental credentials of moving mechanical systems. Research in this field has progressed tremendously in recent years, and there now exist several theoretical models, recognised techniques for computational simulations and interesting experimental evidence of superlubricity in practise. Superlubricity, Second Edition, presents an extensively revised and updated overview of these important developments, providing a comprehensive guide to the physical chemistry underpinning molecular mechanisms of friction and lubrication, current theoretical models used to explore and assess superlubricity, examples of its achievement in experimental systems, and discussion of potential future applications. Drawing on the extensive knowledge of its expert editors and global team of authors from across academia and industry, Superlubricity, Second Edition, is a great resource for all those with a need to understand, model or manipulate surface interactions for improved performance.

The COVID-19 pandemic has forced organizations and individuals to embrace new practices such as social distancing and remote working. During these unprecedented times, many have increasingly relied on the internet for work, shopping, and healthcare. However, while the world focuses on the health and economic threats posed by the COVID-19 pandemic, cyber criminals are capitalizing on this crisis as the world has become more digitally dependent and vulnerable than ever. Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic provides cutting-edge research on the best guidelines for preventing, detecting, and responding to cyber threats within educational, business, health, and governmental organizations during the COVID-19 pandemic. It further highlights the importance of focusing on cybersecurity within organizational crisis management. Covering topics such as privacy and healthcare, remote work, and personal health data, this premier reference source is an indispensable resource for startup companies, health and business executives, ICT procurement managers, IT professionals, libraries, students and educators of higher education, entrepreneurs, government officials, social media experts, researchers, and academicians.

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.

Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts. While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing.

Data has never mattered more. Our lives are increasingly shaped by it and how it is defined, collected and used. But who counts in the collection, analysis and application of data? This important book is the first to look at queer data - defined as data relating to gender, sex, sexual orientation and trans identity/history. The author shows us how current data practices reflect an incomplete account of LGBTQ lives and helps us understand how data biases are used to delegitimise the everyday experiences of queer people. Guyan demonstrates why it is important to understand, collect and analyse queer data, the benefits and challenges involved in doing so, and how we might better use queer data in our work. Arming us with the tools for action, this book shows how greater knowledge about queer identities is instrumental in informing decisions about resource allocation, changes to legislation, access to services, representation and visibility.

With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.

Advances in Imaging and Electron Physics, Volume 216, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

The Art of Investigative Interviewing, Fourth Edition, builds on the successes of the previous editions providing the reader guidance on conducting investigative interviews, both ethically and professionally. The book can be used by anyone who is involved in investigative interviewing. It is a perfect combination of real, practical, and effective techniques, procedures, and actual cases. The reader learns key elements of investigative interviewing, such as human psychology, proper interview preparation, tactical concepts, controlling the interview environment, and evaluating the evidence obtained from the interview. New to this edition will be coverage of Open Source Intelligence (OSINT) tools, workplace investigations, fraud investigations and the role of audit. Larry Fennelly joins original author Inge Sebyan Black, both well-known and respected in the field, providing everything an interviewer needs to know in order to conduct successful interviews with integrity and within the law. Written for anyone involved in investigative interviewing.