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Data and AI Driving Smart Cities (Studies in Big Data #128)
by Ursula Eicker Arturo Molina Pedro Ponce Troy McDaniel Therese Peffer Juana Isabel Mendez Garduno Edgard D. Musafiri Mimo Ramanunni Parakkal Menon Kathryn Kaspar Sadam HussainThis book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.
Data and Applications Security and Privacy XXXII: 32nd Annual IFIP WG 11.3 Conference, DBSec 2018, Bergamo, Italy, July 16–18, 2018, Proceedings (Lecture Notes in Computer Science #10980)
by Florian Kerschbaum Stefano ParaboschiThis book constitutes the refereed proceedings of the 32nd Annual IFIP WG 11.3 International Working Conference on Data and Applications Security and Privacy, DBSec 2018, held in Bergamo, Italy, in July 2018. The 16 full papers and 5 short papers presented were carefully reviewed and selected from 50 submissions. The papers present high-quality original research from academia, industry, and government on theoretical and practical aspects of information security. They are organized in topical sections on administration, access control policies, privacy-preserving access and computation, integrity and user interaction, security analysis and private evaluation, fixing vulnerabilities, and networked systems.
Data and Computer Communications: Networking and Internetworking
by Gurdeep S. Hura Mukesh SinghalThe protocols and standards for networking are numerous and complex. Multivendor internetworking, crucial to present day users, requires a grasp of these protocols and standards. Data and Computer Communications: Networking and Internetworking, a comprehensive text/reference, brings clarity to all of the complex issues involved in networking activi
Data and Decision Sciences in Action 2: Proceedings of the ASOR/DORS Conference 2018 (Lecture Notes in Management and Industrial Engineering)
by Simon Dunstall Andreas T. Ernst Rodolfo García-Flores Marthie Grobler David MarlowThis book constitutes the proceedings of the Joint 2018 National Conferences of the Australian Society for Operations Research (ASOR) and the Defence Operations Research Symposium (DORS). Offering a fascinating insight into the state of the art in Australian operations research, this book is of great interest to academics and other professional researchers working in operations research and analytics, as well as practitioners addressing strategic planning, operations management, and other data-driven decision-making challenges in the domains of commerce, industry, defence, the environment, humanitarianism, and agriculture. The book comprises 21 papers on topics ranging from methodological advances to case studies, and addresses application domains including supply chains, government services, defence, cybersecurity, healthcare, mining and material processing, agriculture, natural hazards, telecommunications and transportation.ASOR is the premier professional organization for Australian academics and practitioners working in optimization and other disciplines related to operations research. The conference was held in Melbourne, Australia, in December 2018.
Data and Energy Integrated Communication Networks: A Brief Introduction (SpringerBriefs in Computer Science)
by Kun Yang Jie HuThe book discusses data and energy integrated communication networking technologies, including the latest research contributions in this promising area. It firstly provides an overview of data and energy integrated communication networks (DEINs) and introduces the key techniques for enabling integrated wireless energy transfer (WET) and wireless information transfer (WIT) in the radio frequency (RF) band. It then describes the ubiquitous architecture of DEINs and demonstrates the typical DEIN system and investigates the core issues in both the physical layer and the medium-access-control (MAC) layer in order to coordinate both the WIT and WET in the same RF band. Lastly, the book addresses a number of emerging research topics in the field of DEINs. It promotes joint efforts from both academia and industry to push DEIN a step closer to practical implementation. It is also a valuable resource for students interested in studying cutting-edge techniques in this field.
Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World
by Bruce SchneierYou are under surveillance right now.<P><P> Your cell phone provider tracks your location and knows who’s with you. Your online and in-store purchasing patterns are recorded, and reveal if you're unemployed, sick, or pregnant. Your e-mails and texts expose your intimate and casual friends. Google knows what you’re thinking because it saves your private searches. Facebook can determine your sexual orientation without you ever mentioning it.<P> The powers that surveil us do more than simply store this information. Corporations use surveillance to manipulate not only the news articles and advertisements we each see, but also the prices we’re offered. Governments use surveillance to discriminate, censor, chill free speech, and put people in danger worldwide. And both sides share this information with each other or, even worse, lose it to cybercriminals in huge data breaches.<P> Much of this is voluntary: we cooperate with corporate surveillance because it promises us convenience, and we submit to government surveillance because it promises us protection. The result is a mass surveillance society of our own making. But have we given up more than we’ve gained? In Data and Goliath, security expert Bruce Schneier offers another path, one that values both security and privacy. He shows us exactly what we can do to reform our government surveillance programs and shake up surveillance-based business models, while also providing tips for you to protect your privacy every day. You'll never look at your phone, your computer, your credit cards, or even your car in the same way again.
Data and the Built Environment: A Practical Guide to Building a Better World Using Data (Digital Innovations in Architecture, Engineering and Construction)
by Neil Thompson Ian GordonThis book takes a data-first approach to framing the built environment sector’s unique challenges and how industry can address them through better use of data. It describes how the sector has failed to derive value from data, and the common causes underlying this failure. It then provides practical guidance on how to use data to construct and operate built environment assets in a manner that better meets society’s needs. The book examines how industry norms, organizational culture, and our personal behaviours contribute to the successful use of data. It sets out a philosophy and vision for the use of data in the built environment, and how this in turn might help the sector realise better outcomes in terms of cost, schedule, quality, and sustainability. Data is a valuable asset, one that the built environment sector must generate, protect, manage, and exploit. The book works as a holistic primer to data and the built environment, written both for those who are new to data or the built environment, and including deep-dive material that will provide insight to experienced professionals.
Data, Security, and Trust in Smart Cities (Signals and Communication Technology)
by Stan McClellanThis book provides a comprehensive perspective on issues related to the trustworthiness of information in the emerging “Smart City.” Interrelated topics associated with the veracity of information are presented and discussed by authors with authoritative perspectives from multiple fields. The focus on security, veracity, and trustworthiness of information, data, societal structure and related topics in connected cities is timely, important, and uniquely presented. The authors cover issues related to the proliferation of disinformation and the mechanics of trust in modern society. Topical issues include trust in technologies, such as the use of machine learning (ML) and artificial intelligence (AI), the importance of encryption and cybersecurity, and the value of protecting of critical infrastructure. Structural issues include legal and governmental institutions, including the basis and importance of these fundamental components of society. Functional issues also include issues of societal trust related to healthcare, medical practitioners, and the dependence on reliability of scientific results. Insightful background on the development of AI is provided, and the use of this compelling technology in applications spanning networks, supply chains, and business practices are discussed by practitioners with direct knowledge and convincing perspective. These thought-provoking opinions from notable industry, academia, medicine, law, and government leaders provide substantial benefit for a variety of stakeholders.
Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem
by Geeta Rana Alex Khang Vugar Abdullayev R. K. TailorThe book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem. Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare. This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.
Data-Centric Business and Applications: Advancements in Information and Knowledge Management, Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #213)
by Solomiia Fedushko Peter Štarchoň Katarína GubíniováThis book explores the profound impact of data on company operations, decision-making, and application development. The book delves into sophisticated information and knowledge management principles, including data governance, analytics, knowledge discovery, and artificial intelligence. The subject encompasses data-centric business models, emerging technology, and ethical considerations. Each chapter is authored by an expert in the area who offers important insights into the influence of data on the advancement of business and application development. The material herein is appropriate for a diverse audience, encompassing academics, practitioners, business professionals, and researchers. The editors sincerely appreciate the writers for their significant contributions, which have been crucial in developing an essential resource for studying and advancing data-centric businesses and applications.
Data-Centric Business and Applications: Advancements in Information and Knowledge Management, Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #208)
by Solomiia Fedushko Peter Štarchoň Katarína GubíniováThis book stands out by exploring the significance of data in various aspects of business, including operations, decision-making, and application development, in a comprehensive and accessible manner. It delves into advanced topics such as data management, analytics, knowledge discovery, artificial intelligence, data-centric business models, emerging technologies, and ethical implications, providing a unique perspective. The book is appropriate for academics, professionals, and researchers with intermediate to advanced data management skills. Data plays a crucial role in today's rapidly evolving digital environment, serving as the foundation for businesses and the key element in driving innovation across diverse industries. This book delves into the latest advancements in data management, their impact on modern corporate settings, and advanced information and knowledge management concepts. The chapters in this book discuss various topics, including incorporating data-driven methods into business models, the difficulties and advantages of emerging technology, and the ethical aspects of making decisions based on data.
Data-Centric Business and Applications: Advancements in Information and Knowledge Management, Volume 3 (Lecture Notes on Data Engineering and Communications Technologies #212)
by Solomiia Fedushko Peter Štarchoň Katarína GubíniováEmbark on a journey into the future of business with a groundbreaking book that explores the dynamic interplay between data and business, unlocking its transformative power in strategy, decision-making, and application development. Dive deep into cutting-edge topics such as data governance, analytics, knowledge discovery, and AI, and gain an in-depth understanding of managing, analyzing, and extracting insights from complex data sets. This book's holistic approach sets this book apart, seamlessly integrating the latest information and knowledge management concepts. From integrating data-centric approaches into business models to addressing considerations in data-driven decisions, the diverse topics covered will provide invaluable insights into the central role of data in shaping the future of business and applications. This book sheds light on the ongoing advances in structural management, demonstrating how previously understood knowledge, technologies, and data can pave the way for sustainable solutions in the face of innovation, meet insight, and allow businesses to thrive in the digital age.
Data-Centric Business and Applications: Evolvements in Business Information Processing and Management (Volume 3) (Lecture Notes on Data Engineering and Communications Technologies #42)
by Natalia Kryvinska Dmytro Ageyev Tamara RadivilovaBuilding on the authors’ previous work, this book addresses key processes and procedures used in information/data processing and management. Modern methods of business information processing, which draw on artificial intelligence, big data, and cloud-based storage and processing, are opening exciting new opportunities for doing business on the basis of information technologies. Thus, in this third book, the authors continue to explore various aspects – technological as well as business and social – of the information industries. Further, they analyze the challenges and opportunities entailed by these kinds of business.
Data-Centric Business and Applications: ICT Systems-Theory, Radio-Electronics, Information Technologies and Cybersecurity (Volume 5) (Lecture Notes on Data Engineering and Communications Technologies #48)
by Natalia Kryvinska Dmytro Ageyev Tamara RadivilovaThis book addresses the challenges and opportunities of information/data processing and management. It also covers a range of methods, techniques and strategies for making it more efficient, approaches to increasing its usage, and ways to minimize information/data loss while improving customer satisfaction. Information and Communication Technologies (ICTs) and the Service Systems associated with them have had an enormous impact on businesses and our day-to-day lives over the past three decades, and continue to do so. This development has led to the emergence of new application areas and relevant disciplines, which in turn present new challenges and opportunities for service system usage. The book provides practical insights into various aspects of ICT technologies for service systems: Techniques for information/data processing and modeling in service systems Strategies for the provision of information/data processing and management Methods for collecting and analyzing information/data Applications, benefits, and challenges of service system implementation Solutions to increase the performance of various service systems using the latest ICT technologies
Data-Centric Business and Applications: ICT Systems—Theory, Radio-Electronics, Information Technologies and Cybersecurity (Lecture Notes on Data Engineering and Communications Technologies #69)
by Natalia Kryvinska Dmytro Ageyev Tamara RadivilovaThis book, building on the authors’ previous work, presents new communication and networking technologies, challenges and opportunities of information/data processing and transmission. It also discusses the development of more intelligent and efficient communication technologies, which are an essential part of current day-to-day life. Information and Communication Technologies (ICTs) have an enormous impact on businesses and our day-to-day lives over the past three decades and continue to do so. Modern methods of business information processing are opening exciting new opportunities for doing business on the basis of information technologies. The book contains research that spans a wide range of communication and networking technologies, including wireless sensor networks, optical and telecommunication networks, storage area networks, error-free transmission and signal processing.
Data-Centric Business and Applications: Modern Trends in Financial and Innovation Data Processes 2023. Volume 1 (Lecture Notes on Data Engineering and Communications Technologies #195)
by Andriy Semenov Iryna Yepifanova Jana KajanováThis book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
Data-Centric Business and Applications: Modern Trends in Financial and Innovation Data Processes 2023. Volume 2 (Lecture Notes on Data Engineering and Communications Technologies #194)
by Andriy Semenov Iryna Yepifanova Jana KajanováThis book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
Data-Centric Business and Applications: Modern Trends in Financial and Innovation Data Processes 2024 (Lecture Notes on Data Engineering and Communications Technologies #240)
by Andriy Semenov Iryna Yepifanova Jana KajanováThe combination of the latest developments in economic theory with contemporary information technologies may be considered as a powerful instrument for the processing of commercial data. This book employs the Ukrainian economy as a case study to examine the multifaceted aspects of financial and investment processes, as well as the utilization of information technology mechanisms in company and industrial management. The range of industrial sectors that have been investigated facilitates application of effective business analysis in enterprises. Furthermore, the book provides detailed insights into transdisciplinary ideas, practices, and examples that may be beneficial when examining evolutional developments in this area. Additionally, this book presents analytical techniques for decision-making in business, finance, and innovation management.
Data-Centric Business and Applications: Towards Software Development (Volume 4) (Lecture Notes on Data Engineering and Communications Technologies #40)
by Lech Madeyski Natalia Kryvinska Aneta Poniszewska-Marańda Stanisław JarząbekThis book explores various aspects of software creation and development as well as data and information processing. It covers relevant topics such as business analysis, business rules, requirements engineering, software development processes, software defect prediction, information management systems, and knowledge management solutions. Lastly, the book presents lessons learned in information and data management processes and procedures.
Data-Centric Security in Software Defined Networks (Studies in Big Data #149)
by Marek Amanowicz Sebastian Szwaczyk Konrad WronaThe book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aimto provide defence under the assumption that the boundary protections will be breached. Based on experience and lessons learned from research on the application of DCS to defence systems, the authors present an approach to integrating the DCS concept with SDN. They introduce a risk-aware approach to routing in SDN, enabling defence-in-depth and enhanced security for data in transit. The book describes possible paths for an organisation to transition towards DCS, indicating some open and challenging issues requiring further investigation. To allow interested readers to conduct detailed studies and evaluate the exemplary implementation of DCS over SDN, the text includes a short tutorial on using the emulation environment and links to the websites from which the software can be downloaded.
Data-Driven Analytics for the Geological Storage of CO2
by Shahab MohagheghData-driven analytics is enjoying unprecedented popularity among oil and gas professionals. Many reservoir engineering problems associated with geological storage of CO2 require the development of numerical reservoir simulation models. This book is the first to examine the contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers and depleted gas and oil reservoirs. Drawing from actual case studies, this book demonstrates how smart proxy models can be developed for complex numerical reservoir simulation models. Smart proxy incorporates pattern recognition capabilities of artificial intelligence and machine learning to build smart models that learn the intricacies of physical, mechanical and chemical interactions using precise numerical simulations. This ground breaking technology makes it possible and practical to use high fidelity, complex numerical reservoir simulation models in the design, analysis and optimization of carbon storage in geological formations projects.
Data-Driven Approach for Bio-medical and Healthcare (Data-Intensive Research)
by Nilanjan DeyThe book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.
Data-Driven Clinical Decision-Making Using Deep Learning in Imaging (Studies in Big Data #152)
by Nilanjan Dey M. F. MridhaThis book explores cutting-edge medical imaging advancements and their applications in clinical decision-making. The book contains various topics, methodologies, and applications, providing readers with a comprehensive understanding of the field's current state and prospects. It begins with exploring domain adaptation in medical imaging and evaluating the effectiveness of transfer learning to overcome challenges associated with limited labeled data. The subsequent chapters delve into specific applications, such as improving kidney lesion classification in CT scans, elevating breast cancer research through attention-based U-Net architecture for segmentation and classifying brain MRI images for neurological disorders. Furthermore, the book addresses the development of multimodal machine learning models for brain tumor prognosis, the identification of unique dermatological signatures using deep transfer learning, and the utilization of generative adversarial networks to enhance breast cancer detection systems by augmenting mammogram images. Additionally, the authors present a privacy-preserving approach for breast cancer risk prediction using federated learning, ensuring the confidentiality and security of sensitive patient data. This book brings together a global network of experts from various corners of the world, reflecting the truly international nature of its research.
Data-Driven Company: Moderne und integrierte Ansätze, um datengetrieben zu werden
by Sven-Erik WillrichDaten werden für Unternehmen immer wichtiger. Gleichzeitig mangelt es an Best Practices und Leitfäden, wie klassische mit modernen Ansätzen wie Data Mesh oder Data Fabric zu einem anwendbaren Framework integriert werden können. Hierzu werden die Themen Organisationsdesign, Datenstrategie / -management und Enterprise Architecture auf theoretische und pragmatische Weise verbunden. Das Buch präsentiert Ziele, ein Data Operating Model sowie datenstrategische Ansätze für eine Data-Driven Company. Hervorzuheben sind dabei die zahlreichen Abbildungen aus diesem Buch, die die komplexen Zusammenhänge anschaulich machen und das Lesen unterstützen. Zielgruppe Mit diesen Inhalten richtet sich das Buch an Führungskräfte, Experten, Berater und weitere Personen, die einen Bezug zur IT und Daten haben beziehungsweise diesen entwickeln möchten. Durch den niedrigschwelligen Einstieg und gleichzeitigen Tiefgang in die ausgewählten Themen adressiert es sowohl Einsteiger als auch erfahrene Datenexperten. Autor Dr. Sven-Erik Willrich ist ein erfahrener Experte im Bereich IT und Datenmanagement. Mit seinem Hintergrund in Wirtschaftsinformatik und langjähriger Beratungserfahrung bringt er sowohl theoretisches Wissen als auch praxisorientierte Lösungsansätze ein. Als Dozent und Redner im Bereich Digitalisierung teilt er regelmäßig seine Expertise.
Data-Driven Controller Design: The H2 Approach (Communications and Control Engineering)
by Lucíola Campestrini Diego Eckhard Alexandre Sanfelice BazanellaData-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990's. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently. The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author's supervision, for developing new software products in a automation company. The book will present simulation examples along the text. Practical applications of the concepts and methodologies will be presented in a specific chapter.