Handbook Of Cognitive And Autonomous Systems For Fire Resilient Infrastructures
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Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures by MZ Naser,Glenn Corbett Pdf
This handbook aims at modernizing the current state of civil engineering and firefighting, especially in this era where infrastructures are reaching new heights, serving diverse populations, and being challenged by unique threats. Its aim is to set the stage toward realizing contemporary, smart, and resilient infrastructure. The Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures draws convergence between civil engineering and firefighting to the modern realm of interdisciplinary sciences (i.e., artificial intelligence, IoT, robotics, sensing, and human psychology). As such, this work aims to revolutionize the current philosophy of design for one of the most notorious extreme events: fire. Unlike other publications, which are narrowed to one specific research area, this handbook cultivates a paradigm in which critical aspects of structural design, technology, and human behavior are studied and examined through chapters written by leaders in their fields. This handbook can also serve as a textbook for graduate and senior undergraduate students in Civil, Mechanical, and Fire Protection engineering programs as well as for students in Architectural and social science disciplines. Students, engineers, academics, professionals, scientists, firefighters, and government officials involved in national and international societies such as the American Society of Civil Engineers (ASCE), Society of Fire Protection Engineers (SFPE), National Fire Protection Association (NFPA), and Institute of Electrical and Electronics Engineers (IEEE), among others, will benefit from this handbook.
Research Handbook on Artificial Intelligence and Decision Making in Organizations by Ioanna Constantiou,Mayur P. Joshi,Marta Stelmaszak Pdf
Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.
Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure by M. Z. Naser Pdf
The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. Focuses on civil engineering applications for extreme events Explains the fundamentals of AI/ML and how they can be applied in civil engineering Features case study examples, design codes, and problems and solutions that would work for extreme events
Machine Learning for Civil and Environmental Engineers by M. Z. Naser Pdf
Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality, and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. Written by a highly qualified professional with significant experience in the field, Machine Learning includes valuable information on: The current state of machine learning and causality in civil and environmental engineering as viewed through a scientometrics analysis, plus a historical perspective Supervised vs. unsupervised learning for regression, classification, and clustering problems Details explainable and causal methods for practical engineering problems Database development, outlining how an engineer can effectively collect and verify appropriate data to be used in machine intelligence analysis A framework for machine learning adoption and application, covering key questions commonly faced by practitioners This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of machine learning, for scientists/researchers to learn how to integrate machine learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
Resilience and Risk by Igor Linkov,José Manuel Palma-Oliveira Pdf
This volume addresses the challenges associated with methodology and application of risk and resilience science and practice to address emerging threats in environmental, cyber, infrastructure and other domains. The book utilizes the collective expertise of scholars and experts in industry, government and academia in the new and emerging field of resilience in order to provide a more comprehensive and universal understanding of how resilience methodology can be applied in various disciplines and applications. This book advocates for a systems-driven view of resilience in applications ranging from cyber security to ecology to social action, and addresses resilience-based management in infrastructure, cyber, social domains and methodology and tools. Risk and Resilience has been written to open up a transparent dialog on resilience management for scientists and practitioners in all relevant academic disciplines and can be used as supplement in teaching risk assessment and management courses.
Structural Fire Engineering by Venkatesh Kodur,Mohannad Naser Pdf
Actionable strategies for the design and construction of fire-resistant structures This hands-on guide clearly explains the complex building codes and standards that relate to fire design and presents hands-on techniques engineers can apply to prevent or mitigate the effects of fire in structures. Dedicated chapters discuss specific procedures for steel, concrete, and timber buildings. You will get step-by-step guidance on how to evaluate fire resistance using both testing and calculation methods. Structural Fire Engineering begins with an introduction to the behavioral aspects of fire and explains how structural materials react when exposed to elevated temperatures. From there, the book discusses the fire design aspects of key codes and standards, such as the International Building Code, the International Fire Code, and the NFPA Fire Code. Advanced topics are covered in complete detail, including residual capacity evaluation of fire damaged structures and fire design for bridges and tunnels. Explains the fire design requirements of the IBC, IFC, the NFPA Fire Code, and National Building Code of Canada Presents design strategies for steel, concrete, and timber structures as well as for bridges and tunnels Contains downloadable spreadsheets and problems along with solutions for instructors
Cognitive Hyperconnected Digital Transformation by Ovidiu Vermesan,Joël Bacquet Pdf
Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business.
The Role of Autonomy in DOD Systems - Reports on Unmanned Aerial Vehicles (UAV), Robotics, Teleoperation, Haptics, Centibot, Remote Presence, UxV, DARPA Research, and Space and Ground Systems by U. S. Military,Defense Science Board,Department of Defense Pdf
The DSB Task Force on the Role of Autonomy in DoD Systems was asked to study relevant technologies, ongoing research, and the current autonomy-relevant plans of the Military Services, to assist the DoD in identifying new opportunities to more aggressively use autonomy in military missions, to anticipate vulnerabilities, and to make recommendations for overcoming operational difficulties and systemic barriers to realizing the full potential of autonomous systems. The Task Force has concluded that, while currently fielded unmanned systems are making positive contributions across DoD operations, autonomy technology is being underutilized as a result of material obstacles within the Department that are inhibiting the broad acceptance of autonomy and its ability to more fully realize the benefits of unmanned systems. Overall, the Task Force found that unmanned systems are making a significant, positive impact on DoD objectives worldwide. However, the true value of these systems is not to provide a direct human replacement, but rather to extend and complement human capability by providing potentially unlimited persistent capabilities, reducing human exposure to life threatening tasks, and with proper design, reducing the high cognitive load currently placed on operators/supervisors.Unmanned systems are proving to have a significant impact on warfare worldwide. The true value of these systems is not to provide a direct human replacement, but rather to extend and complement human capability in a number of ways. These systems extend human reach by providing potentially unlimited persistent capabilities without degradation due to fatigue or lack of attention. Unmanned systems offer the warfighter more options and flexibility to access hazardous environments, work at small scales, or react at speeds and scales beyond human capability. With proper design of bounded autonomous capabilities, unmanned systems can also reduce the high cognitive load currently placed on operators/supervisors. Moreover, increased autonomy can enable humans to delegate those tasks that are more effectively done by computer, including synchronizing activities between multiple unmanned systems, software agents and warfighters--thus freeing humans to focus on more complex decision making.1.0 Executive Summary * 1.1. Misperceptions about Autonomy are Limiting its Adoption * 1.2. Create an Autonomous Systems Reference Framework to Replace "Levels of Autonomy" * 1.3. Technical Challenges Remain, Some Proven Autonomy Capability Underutilized * 1.4. Autonomous Systems Pose Unique Acquisition Challenges * 1.5. Avoid Capability Surprise by Anticipating Adversary Use of Autonomous Systems * 2.0 Operational Benefits of Autonomy * 2.1. Unmanned Aerial Vehicles * 2.2. Unmanned Ground Systems * 2.3. Unmanned Maritime Vehicles * 2.4. Unmanned Space Systems * 2.5. Conclusion * 3.0 Technical Issues of Autonomy * 3.1. Motivation: What Makes Autonomy Hard * 3.2. Defining Levels of Autonomy is Not Useful * 3.3. Autonomous System Reference Framework * 3.4. Needed Technology Development * 3.5. Technical Recommendations * 4.0 Acquisition Issues of Autonomy * 4.1. Requirements and Development * 4.2. Test and Evaluation * 4.3. Transition to Operational Deployment * 5.0 Capability Surprise in Autonomy Technology * 5.1. Overview of Global Unmanned Systems * 5.2. Unmanned Symmetric Adversary Scenarios * 5.3. Value for Asymmetric Adversaries * 5.4. External Vulnerabilities * 5.5. Self-Imposed Vulnerabilities * 5.6. Recommendations . * Appendix A--Details of Operational Benefits by Domain * A.1. Aerial Systems Strategy * A.2. Maritime Systems * A.3. Ground Systems * A.4. Space Systems * Appendix B--Bibliography * Appendix C--Task Force Terms of Reference * Appendix D--Task Force Membership * Appendix E--Task Force Briefings * Appendix F--Glossary
Towards Resilient Organizations and Societies by Rómulo Pinheiro,Maria Laura Frigotto,Mitchell Young Pdf
This open access book brings together scholars in the fields of management, public policy, regional studies, and organization theory around the concept of resilience. The aim is to provide a more holistic understanding of the complex phenomenon of resilience from a multi-sectorial, cross-national, and multidisciplinary perspective. The book facilitates a conversation across diverse disciplinary specializations and empirical domains. The authors contribute both to theory testing and theory development and provide key empirical insights useful for societies, organizations, and individuals experiencing disruptive pressures, not least in the context of a post-COVID-19 world. Diverse chapters are held together by a clear organization of the volume across levels of analysis (resilience in organizations and societies) and by an original perspective on resilience derived from an extended review, by the editors, of the existing literature and knowledge gaps, according to which each of the individual chapter contributions is positioned and connected to.
International Centre for Engineering Education,UNESCO
Author : International Centre for Engineering Education,UNESCO Publisher : UNESCO Publishing Page : 183 pages File Size : 49,8 Mb Release : 2021-03-02 Category : Political Science ISBN : 9789231004377
Engineering for Sustainable Development by International Centre for Engineering Education,UNESCO Pdf
The report highlights the crucial role of engineering in achieving each of the 17 SDGs. It shows how equal opportunities for all is key to ensuring an inclusive and gender balanced profession that can better respond to the shortage of engineers for implementing the SDGs. It provides a snapshot of the engineering innovations that are shaping our world, especially emerging technologies such as big data and AI, which are crucial for addressing the pressing challenges facing humankind and the planet. It analyses the transformation of engineering education and capacity-building at the dawn of the Fourth Industrial Revolution that will enable engineers to tackle the challenges ahead. It highlights the global effort needed to address the specific regional disparities, while summarizing the trends of engineering across the different regions of the world.
Climate Resilient Cities by Neeraj Prasad,Federica Ranghieri,Fatima Shah,Zoe Trohanis,Earl Kessler,Ravi Sinha Pdf
'Climate Resilient Cities: A Primer on Reducing Vulnerabilities to Disasters' provides city administrators with exactly what they need to know about the complex and compelling challenges of climate change. The book helps local governments create training, capacity building, and capital investment programs for building sustainable, resilient communities. A step-by-step self-assessment challenges policymakers to think about the resources needed to combat natural disasters through an innovative hot spot risk and vulnerability identifi cation tool. This primer is unique from other resources in its treatment of climate change using a dual-track approach that integrates both mitigation (lowering contributions to greenhouse gases) and adaptation (preparing for impacts of climate change) with disaster risk management. The book is relevant both to cities that are just beginning to think about climate change as well as those that already have well established policies, institutions, and strategies in place. By providing a range of city-level examples of sound practices around the world, the book demonstrates that there are many practical actions that cities can take to build resilience to climate change and natural disasters.
