Polinpapilinho F. Katina – författare

This book provides a first-of-its-kind approach for using blockchain to enhance resilience in disaster supply chain and logistics management, especially when dealing with dynamic communication, relief operations, prioritization, coordination, and distribution of scarce resources — these are elements of volatility, uncertainty, complexity, and ambiguity (VUCA) describing a dynamic environment that now form the "new norm" for many leaders.Blockchain-Enabled Resilience: An Integrated Approach for Disaster Supply Chain and Logistics Management analyzes the application of blockchain technology used to enable resilience in a disaster supply chain network. It discusses IoT and DVFS algorithms for developing a network-based simulation and presents advancements in disaster supply chain strategies using smart contacts for collaborations. The book covers how success is based on collaboration, coordination, sovereignty, and equality in distributing resources and offers a theoretical analysis that reveals that enhancing resilience can improve collaboration and communication and can result in more time-efficient processing for disaster supply management.The book offers a first-of-its-kind approach for managers and policy-makers as well as researchers interested in using blockchain to enhance resilience in disaster supply chains, especially when dealing with dynamic communication, relief operations, prioritization, coordination, and distribution of scarce resources. Practical guidance is provided for managers interested in implementation. A robust research agenda is also provided for those interested in expanding present research.

This book provides a first-of-its-kind approach for using blockchain to enhance resilience in disaster supply chain and logistics management, especially when dealing with dynamic communication, relief operations, prioritization, coordination, and distribution of scarce resources — these are elements of volatility, uncertainty, complexity, and ambiguity (VUCA) describing a dynamic environment that now form the "new norm" for many leaders.Blockchain-Enabled Resilience: An Integrated Approach for Disaster Supply Chain and Logistics Management analyzes the application of blockchain technology used to enable resilience in a disaster supply chain network. It discusses IoT and DVFS algorithms for developing a network-based simulation and presents advancements in disaster supply chain strategies using smart contacts for collaborations. The book covers how success is based on collaboration, coordination, sovereignty, and equality in distributing resources and offers a theoretical analysis that reveals that enhancing resilience can improve collaboration and communication and can result in more time-efficient processing for disaster supply management.The book offers a first-of-its-kind approach for managers and policy-makers as well as researchers interested in using blockchain to enhance resilience in disaster supply chains, especially when dealing with dynamic communication, relief operations, prioritization, coordination, and distribution of scarce resources. Practical guidance is provided for managers interested in implementation. A robust research agenda is also provided for those interested in expanding present research.

This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.Features:Provides a state-of-the-art computer vision application in the digital health care industryReviews advances in computer vision and data science technologies for analyzing information on human function and disabilityIncludes practical implementation of computer vision application using recent tools and softwareExplores computer vision-enabled medical/clinical data security in the cloudIncludes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and GoogleThis book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.Features:Provides a state-of-the-art computer vision application in the digital health care industryReviews advances in computer vision and data science technologies for analyzing information on human function and disabilityIncludes practical implementation of computer vision application using recent tools and softwareExplores computer vision-enabled medical/clinical data security in the cloudIncludes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and GoogleThis book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

The integration of Artificial Intelligence (AI) into supply chain management (SCM) is transforming traditional operations into intelligent, resilient, and sustainable ecosystems. This book explores the application of AI-driven models to enhance decision-making, optimize logistics, and minimize environmental impact across various stages of the supply chain. Emphasis is placed on how machine learning, deep learning, and predictive analytics enable proactive demand forecasting, waste reduction, and resource optimization. The research proposes a sustainability-centered framework that combines AI-based optimization with environmental, social, and governance (ESG) principles to achieve transparency, traceability, and ethical sourcing. The findings demonstrate that AI adoption not only strengthens supply chain agility and resilience but also contributes significantly to achieving Sustainable Development Goals (SDGs) by promoting circular economy practices and carbon footprint minimization.Features:• Includes a step-by-step procedure for developing the Blockchain Internet of Things for industries using D-APP and hyperledgers. • Covers different blockchain and Internet of Things-based sustainable supply chain management merits, demerits, challenges, and risks. • Delves into the integration of artificial intelligence into smart contracts to foster responsible and efficient operations across industries. • Showcases the use of artificial intelligence algorithms within smart contract frameworks to optimize decision-making processes and ensure ethical considerations are prioritized in automated contract executions. • Explores how artificial intelligence-driven solutions are being tailored to meet the unique demands of different sectors, including manufacturing, healthcare, retail, agriculture, and logistics. It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, supply chain management, manufacturing engineering, and industrial engineering.

Gamification for Resilience Enable resilience informed decision-making with an insightful combination of systems engineering concepts In Gamification for Resilience: Resilient Informed Decision-Making, a team of distinguished researchers deliver an insightful and exciting integration of game theory, design, and applications that explains how to create a resilient city that promotes sustainable development, well-being, and inclusive growth. The authors combine several concepts and techniques taken from serious gaming and integrate them into decision-making theory, demonstrating how to enable Resilience Informed Decision-Making. The book addresses critical infrastructure systems and how to ensure these systems are supported against manmade, natural threats and hazards. It includes thought-provoking research questions and case applications that will engage and challenge readers and create an active and memorable learning experience. Readers will also find: A thorough introduction to systems theory as the basis for bridging science and the practice of engineering systemsComprehensive explorations of gamification and its application to the resilience informed decision-making processPractical discussions of the analysis and assessment of risk and vulnerability via serious gamingFulsome treatments of the representation of system complexity using object-oriented programmingPerfect for professionals and researchers working in the areas of decision making, gamification, resilience, risk assessments, and critical infrastructures, Gamification for Resilience: Resilient Informed Decision-Making will also benefit undergraduate and graduate students studying urban planning, smart cities, and related subjects.

This book introduces readers to the topical area of CSI: critical space infrastructure, which is defined as an emerging domain of systems-of-systems encompassing hardware, workforce, environment, facilities, business and organizational entities. Further, it includes unmanned air systems, satellites, rockets, space probes, and orbital stations, and involves multi-directional interactions essential for maintenance of vital societal functions (i.e., health, safety, economic and social well-being), the loss or disruption of which would have significant impact on virtually any nation. The topics covered include the main elements of CSI, CSI taxonomy, effects of CSI on other infrastructure systems, establishing quantitative and qualitative parameters, global and national effects of CSI failure, cascading disruptive phenomena, chilling effects in various fields, CSI protection, deliberate threats to space systems (e.g., electromagnetic pulse attacks), space governance, and a path forward for CSI research. Modern society is highly dependent on the continuous operation of critical infrastructure systems for the supply of crucial goods and services including, among others, the power supply, drinking water supply, and transportation systems; yet space systems – which are critical enablers for several commercial, scientific and military applications – are rarely discussed. This book addresses this gap.

This book introduces readers to the topical area of CSI: critical space infrastructure, which is defined as an emerging domain of systems-of-systems encompassing hardware, workforce, environment, facilities, business and organizational entities. Further, it includes unmanned air systems, satellites, rockets, space probes, and orbital stations, and involves multi-directional interactions essential for maintenance of vital societal functions (i.e., health, safety, economic and social well-being), the loss or disruption of which would have significant impact on virtually any nation. The topics covered include the main elements of CSI, CSI taxonomy, effects of CSI on other infrastructure systems, establishing quantitative and qualitative parameters, global and national effects of CSI failure, cascading disruptive phenomena, chilling effects in various fields, CSI protection, deliberate threats to space systems (e.g., electromagnetic pulse attacks), space governance, and a path forward for CSI research. Modern society is highly dependent on the continuous operation of critical infrastructure systems for the supply of crucial goods and services including, among others, the power supply, drinking water supply, and transportation systems; yet space systems – which are critical enablers for several commercial, scientific and military applications – are rarely discussed. This book addresses this gap.

This book explores Complex System Governance (CSG)—an emerging field concerned with the design, execution, and evolution of essential functions necessary to ensure continued viability of a system.

This book explores Complex System Governance (CSG)—an emerging field concerned with the design, execution, and evolution of essential functions necessary to ensure continued viability of a system.

This book explores the transformative potential of blockchain technology in enhancing cybersecurity across various sectors. Through detailed case studies, technical explanations, and practical implementations, the book provides a comprehensive guide on integrating blockchain solutions to mitigate cyber threats, enhance data integrity, and ensure operational resilience in industries such as healthcare, supply chain, finance, and government.

Infranomics is a new discipline that combines sustainability, engineering, and issues of governance in infrastructure planning. This book offers a baseline for empirically driven discussion on the theory and potential applications of an important new subject.

This book addresses a key issue in today’s society: the safer transport of dangerous goods, taking into account people, the environment and economics. In particular, it offers a potential approach to identifying the issues, developing the models, providing the methods and recommending the tools to address the risks and vulnerabilities involved. We believe this can only be achieved by assessing those risks in a comprehensive, quantifiable and integrated manner. Examining both rail and road transportation, the book is divided into three sections, covering: the mature and accepted (by both academia and practitioners) methodology of risk assessment; the vulnerability assessment – a novel approach proposed as a vital complement to risk; guidance and support to build the tools that make methods and equations to yield: the Decision Support Systems. Throughout the book, the authors do not endeavor to provide THE solution. Instead, the book offers insightful food for thought for students, researchers, practitioners and policymakers alike.

This book provides a rough entry into the interdisciplinary field of Infranomics. It enables better decision making in an increasing ambiguous, complex, emergent, interdependent, and uncertain world where we attempt to anticipate modern society trends and patterns in order to react appropriately. However, as with any emerging discipline, much research is needed at the applications and conceptual level. The applications level may require development and testing of methods, tools, and techniques to enable analysis and decision-making in ambiguous, complex, emergent, interdependent, and uncertain conditions while the conceptual level may require taping into driving philosophies, theories, and methodologies that form the basis for Infranomics. Striking the right balance between applications and conceptual foundation (theory) requires rigorous research. This book provides a springboard for robust discussions on applications, theory, and transformation of current thinking to better deal with modern society’s problematic issues using Infranomics.

In the face of increasing failures, comments attributed to Albert Einstein loom large: “We cannot solve our problems with the same thinking we used when we created them.” There is a pervasive feeling that any attempt to make sense of the current terrain of complex systems must involve thinking outside the box and originating unconventional approaches that integrate organizational, managerial, social, political, cultural, and human aspects and their interactions.This textbook offers research-based models and tools for diagnosing and predicting the behavior of complex techno-socio-economic systems in the domain of critical infrastructures, key resources, key assets and the open bazaar of space, undersea, and below-ground systems. These models exemplify emblematic models in physics, within which the critical infrastructures, as well as society itself and its paraphernalia, share the profile of many-body systems featuring cooperative phenomena and phase transitions – the latter usually felt as disruptive occurrences.The book and its models focus on the analytics of real-life-business actors, including policy-makers, financiers and insurers, industry managers, and emergency responders.

This book addresses a key issue in today’s society: the safer transport of dangerous goods, taking into account people, the environment and economics.

In the face of increasing failures, comments attributed to Albert Einstein loom large: “We cannot solve our problems with the same thinking we used when we created them.” There is a pervasive feeling that any attempt to make sense of the current terrain of complex systems must involve thinking outside the box and originating unconventional approaches that integrate organizational, managerial, social, political, cultural, and human aspects and their interactions.This textbook offers research-based models and tools for diagnosing and predicting the behavior of complex techno-socio-economic systems in the domain of critical infrastructures, key resources, key assets and the open bazaar of space, undersea, and below-ground systems. These models exemplify emblematic models in physics, within which the critical infrastructures, as well as society itself and its paraphernalia, share the profile of many-body systems featuring cooperative phenomena and phase transitions – the latter usually felt as disruptive occurrences.The book and its models focus on the analytics of real-life-business actors, including policy-makers, financiers and insurers, industry managers, and emergency responders.

This book delves into cutting-edge research in cyberspace and outer space security, encompassing both theoretical and experimental aspects. It provides mitigation measures and strategies to address the identified challenges within. It covers a spectrum of topics including techniques and strategies for enhancing cyberspace security, combating ransomware attacks, and securing autonomous vehicles. Additionally, it explores security and surveillance systems involving autonomous vehicles, resilience schemes against security attacks using blockchain for autonomous vehicles, security analysis of autonomous drones (UAVs), the cybersecurity kill chain, the internet of drones (IoD), and cyberspace solutions to counteract attacks. The discussion extends to mitigation strategies against weaponized AI in cyber-attacks, countermeasures for both autonomous vehicles and cyberspace attacks, as well as the limitations and future prospects of artificial intelligence (AI) and data defense in aerospace cybersecurity.A network comprising nodes can establish both cyberspace and outer space platforms for data exchange. Cyberspace finds diverse applications, including commercial endeavors and military defense. The integration of autonomous vehicles, unmanned aircraft systems (UAS), and drones into outer space environments is facilitated through their connection to cyberspace. One illustrative example involves the utilization of blockchain-based secure drone systems for product delivery, leveraging the combined capabilities of cyberspace and outer space security technologies. This book elucidates the intricate dynamics between cyber operations and the expanding realm of autonomous outer cyberspace, presenting new security challenges arising from heightened complexity and emerging vulnerabilities.