This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.

All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally "analog" disciplines-mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers' ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.

Almost all the major accident investigations--Texas City, Piper Alpha, the Phillips 66 explosion, Feyzin, Mexico City--show human error as the principal cause, either in design, operations, maintenance, or the management of safety. This book provides practical advice that can substantially reduce human error at all levels. In eight chapters--packed with case studies and examples of simple and advanced techniques for new and existing systems--the book challenges the assumption that human error is "unavoidable." Instead, it suggests a systems perspective. This view sees error as a consequence of a mismatch between human capabilities and demands and inappropriate organizational culture. This makes error a manageable factor and, therefore, avoidable.

This book is a hands-on single-source reference of tools, techniques, and processes integrating both Lean and Six Sigma. This comprehensive handbook provides up-to-date guidance on how to use these tools and processes in different settings, such as start-up companies and stalled projects, as well as establish enterprises where the ongoing drive is to improve processes, profitability, and long-term growth. It contains the "hard" Six Sigma approach as well as the flexible approach of FIT SIGMA, which is adaptable to manufacturing and service industries and also public sector organisations. You will also discover how climate change initiatives can be accelerated to sustainable outcomes by the holistic approach of Green Six Sigma. The book is about what we can do now with leadership, training, and teamwork in every sphere of our businesses. Lean, originally developed by Toyota, is a set of processes and tools aimed at minimising wastes. Six Sigma provides a set of data-driven techniques to minimise defects and improve processes. Integrating these two approaches provides a comprehensive and proven approach that can transform an organisation. To make change happen, we need both digital tools and analog approaches. We know that there has been a continuous push to generate newer approaches to operational excellence, such as Total Quality Management, Six Sigma, Lean Sigma, Lean Six Sigma, and FIT SIGMA. It is vital that we harness all our tools and resources to regenerate the economy after the Covid-19 pandemic and make climate change initiatives successful for the survival of our planet. Six Sigma and its hybrids (e.g., Lean Six Sigma) should also play a significant part. Over the last three decades, operational performance levels of both public sector and private sector organisations improved significantly and Lean Six Sigma has also acted as a powerful change agent. We urgently need an updated version of these tools and approaches. The Green Six Sigma Handbook not only applies appropriate Lean and Six Sigma tools and approaches, fitness for the purpose, but it aims at sustainable changes. This goal of sustainability is a stable bridge between Lean Six Sigma and climate change initiatives. Hence, when the tools and approaches of Lean Six Sigma are focused and adapted primarily to climate change demands, we get Green Six Sigma.

The Scaled Boundary Finite Element Method describes a fundamental solution-less boundary element method, based on finite elements. As such, it combines the advantages of the boundary element method:

• spatial discretisation reduced by one
  
• boundary condition at infinity satisfied exactly

• no fundamental solution required
  
• no singular integrals
  
• the processing of anisotropic material without any additional computational effort

The scaled boundary finite element method can be used to analyse any bounded and unbounded media governed by linear elliptic, parabolic and hyperbolic partial differential equations.

The book serves two goals which can be pursued independently. Part I is a primer, with a model problem addressing the simplest wave propagation but still containing all essential features. Part II derives the fundamental equations for statics, elastodynamics and diffusion, and discusses the solution procedures from scratch in great detail.

In summary this comprehensive text presents a novel procedure which will be of interest not only to engineers, researchers and students working in engineering mechanics, acoustics, heat-transfer, earthquake engineering, electromagnetism, and computational mathematics, but also consulting engineers dealing with nuclear structures, offshore platforms, hardened structures, critical facilities, dams, machine foundations and other structures subjected to earthquakes, wave loads, explosions and traffic.

This book discusses supply chain management, focusing on developments within modelling the dynamic behaviour of the supply chain. Aimed at postgraduate students, researchers and practitioners, this book provides an in-depth knowledge of the dynamics of supply chains. Business trends such as the globalisation process and the increase of competition across many industrial sectors have forced companies to concentrate on their core competences and to outsource those activities in which they do not excel. As a consequence, companies no longer produce and distribute their goods in isolation, but being part of a supply chain or supply network, i.e. a set of interrelated companies who ultimately deliver the goods and services to the final customer. Despite the prevalence of supply chains as the primary form of production and distribution, their performance can be seriously hampered by the complex dynamics resulting from the collaboration and coordination (or lack thereof) among their members. This book provides the reader with modelling tools to understand, analyse and improve the dynamic behaviour of supply chains. It assembles seminal works on supply chain models and recent developments on the topic in order to provide a comprehensive, unified vision of the field for researchers and practitioners who wish to grasp the challenges of supply chain management. Aside presenting the main elements, equations and performance indicators governing the dynamics of a supply chain, and the book addresses issues such as the effect of timely and accurately sharing the information across members, the influence of restrictions on the productive capacities of their members, or the impact of the variability of the lead times, among others. Furthermore, more complex supply chain structures such as non-serial supply networks or closed-loop supply chains are modelled and discussed. Relevant managerial insights regarding the causes of supply chain underperformance, as well as avenues to improve their efficiency can be extracted from the resulting models.

Contemporary supply chains operate under the pressure of customer requirements, increasing price competition, sudden increases or decreases in demand, unforeseen obstacles and new threats. The right way to improve the functioning of the flow of material and accompanying information is not only the continuous collection of data but also their collection, analysis, inference and decision-making with the use of decision support systems, expert systems and artificial intelligence. Such procedures make it easier for logisticians not only to forecast processes but also to predict (forecast) and identify potential problems and facilitate the implementation of optimal modern solutions, paying attention to current trends in the supply chain market. An important issue that affects the quality, efficiency and availability (continuity) of the processes implemented within the supply chain is security. This is an area that is not clearly defined. This book uses theoretical and practical knowledge to define security in the supply chain as a state that gives a sense of certainty and guarantees the flow of material goods and services (in accordance with the 7w rule) as well as a smooth flow of information for the planning and management of logistics processes. Tools and instruments used to ensure the security of the supply chain contribute to the protection and survival in times of dangerous situations (threats) and adaptation to new conditions (susceptibility to unplanned situations). When analyzing the needs and structure of the 21st century supply chains, in the context of their security, it is impossible to ignore the problem of their digitization, which enables the determination of optimal routes and the anticipation of possible threats (crisis situations). Automatic data exchange between various departments of the company along the upper and lower part of the supply chain improves the functioning of the warehouse management through, among others, automation, robotization and pro-activity. It also contributes to efficient, good communication and market globalization. Automation also brings new, extremely attractive business models with regard to occupational safety, ergonomics and environmental protection. To meet the needs of creating modern supply chains, the book analyzes and presents current and future solutions that affect security and the continuity of supply chains.

Innovative processes for the development of products and services are more and more considered as an organisational capability, which is recognised to be increasingly important for business success in today's competitive environment. However, management and academia need a more profound understanding of these processes and to develop improved management approaches to exploit such business potentials. This book contains the proceedings of the 3rd International Conference on Modelling and Management of Engineering Processes (MMEP2013) held in Magdeburg, Germany, in November 2013. It includes contributions from international leading researchers in the fields of process modelling and process management. The conference topics were recent trends in modelling and management of engineering processes, potential synergies between different modelling approaches, future challenges for the management of engineering processes as well as future research in these areas.

This book recognizes Mexico's effects and challenges in a natural disaster and offers empirical risk-reduction methods in critical cases. The proposals considered here include real and detailed analysis, a set of models, frameworks, strategies, and findings in the three stages of the disaster (before-during-after). This book: describes the methodology to find secure locations for the Regional Humanitarian Response Depot; offers recommendations for the sites and creation of an Export Logistics Cluster; shows how to use available technology and information to locate volunteers in the right spots describes mathematical models to help to allocate procedure of resources for restoring the affected community and proposes actions to create resilience in the country's main economic sectors, including agriculture and industry. The processes applied at recent disasters such as the 19S earthquake and their results are used as case studies, identifying possibilities for further improvement. The book also describes new trends for Mexico due to climate change and makes suggestions for mitigating future disasters. The proposals are also replicable to other highly populated societies with similar socio-economic structures. Finally, this book is the basis for generating more innovative recommendations by researchers, graduate students, academics, professionals, and practitioners to obtain better planning and better collaboration between all the humanitarian chain actors. This book intends to be of interest as a fundamental tool for decision-makers, governments, non-governmental organizations, and enterprises.

This book offers state-of-the-art descriptions of intelligent service innovations in industry, supported by novel scientific approaches. It gathers findings presented at the 3rd Intelligent Services Summit, which took place in Zurich in September 2020, and chiefly focused on the design and application of Digital Twin as an enabler for business development in the field of smart services. Divided into three parts, the book addresses the challenges involved in the successful development and implementation of smart services for industry and science, ranging from data management to product design and lifecycle management. The four main aspects covered are industrial challenges, value system design (how to integrate resources into service ecosystems to create value), value creation through value proposition (how to create value for ecosystem actors), and value capture (how to create value for ecosystem businesses). Given its scope, the book offers an essential guide for practitioners and advanced students alike.

This book discusses the importance of transitioning from conventionally fuelled, electric and hydrogen personal vehicles towards low carbon electric and hydrogen public transport. It presents international comparisons and case studies of countries who have successfully and unsuccessfully implemented policies to reduce their emissions from land-based transport. It discusses and provides policy recommendations to meet a net zero transport world by exploring potential issues, including infrastructure changes and electricity generation mix which may prevent targets being met successfully. The book also demonstrates how the COVID-19 pandemic has influenced individual transport choices and what will need to be done to ensure travel remains sustainable going forward. Aligned with an active area of academic and civil discourse on the topic of sustainable transportation systems, Transportation in a Net Zero World will be of interest to researchers, policy makers, and graduate students alike, in the fields of environmental science and transport studies.

This book is the result of years of research following a realization of the mismatch of engineering skills produced by universities and those that industry required, based on the situation in Sub-Saharan Africa, equally applicable to other regions in Africa and indeed worldwide. The book is meant to assist engineering academics and engineers in industry to build capacity and cope with the dynamic trends in technology brought on by the 4th Industrial Revolution and to prepare for the 5th Industrial Revolution, an era predicted to be dominated by critical and system thinkers with creative and innovative skills as basic necessities. The book is also useful for policy-making researchers in academia, industrial and public sector researchers, and implementers in governments that provide required funding for the development of human resources and skills. The book primarily consists of the novel research and innovation approaches of modelling and building systems thinking sub-models which were ultimately integrated into the Universal Systems Thinking (UST) model aimed at improving the quality of engineers and engineering practice. The initiatives in this book include strategies for bridging the gap between industry and academia through systems thinking research. The book provides information on how to model, simulate, adjust and implement integrated systems thinking approaches to engineering education and training for capacity building and sustainability. The book also covers approaches to address research gaps and mismatch of skills while capitalizing on the successes of several projects carried out and supported by the Royal Academy of Engineering over the years.

The Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, engineering design, and other methodologies to support learners. As learning engineering becomes an increasingly formalized discipline and practice, new insights and tools are needed to help education, training, design, and data analytics professionals iteratively develop, test, and improve complex systems for engaging and effective learning. Written in a colloquial style and full of collaborative, actionable strategies, this book explores the essential foundations, approaches, and real-world challenges inherent to ensuring participatory, data-driven, learning experiences across populations and contexts.

Our world changes faster today than at any time in the history of mankind. Organizations, like living breathing organisms, must learn to adapt to changes in the environment in which each operates. It is generally held today, by those who study organizations, that those who fail to adapt to seemingly unending change are certainly doomed but those able to adapt to constant change tend to thrive. The purpose of this book is to describe the leadership required to successfully implement continuous process improvement in organizations. The author begins the journey with a discussion of organizational culture as he sets out to describe how leaders develop a culture where continuous improvement can thrive. The challenges of organizational change faced by all leaders who strive to take advantage of the benefits of continuous process improvement is discussed, as well as what leaders must do to make change stick. The goal is to provide a description of the leadership necessary to make continuous process improvement a reality in any organization.

This book discusses the latest advances in cyber-physical security and resilience of cyber-physical systems, including cyber-attack detection, isolation, situation awareness, resilient estimation and resilient control under attack. It presents both theoretical results and important applications of the methods. Security and Resilience in Cyber-Physical Systems begins by introducing the topic of cyber-physical security, covering state-of-the-art trends in both theory and applications, as well as some of the emerging methodologies and future directions for research. It then moves on to detail theoretical methods of attack detection, resilient estimation and control within cyber-physical systems, before discussing their various applications, such as power generation and distribution, autonomous systems, wireless communication networks and chemical plants. Focusing on the detection of and accommodation to cyber-attacks on cyber-physical systems, and including both estimation and artificial-intelligence-based methods, this book will be of interest to researchers, engineers and graduate students within the fields of cyber-physical security and resilient control.

This volume contains the results obtained by a symposium which took place in Paris, France, on May 04-05, 1999, hosted by the International Union of Railways, UIC. This symposium was organised within the framework of the Brite/Euram project TRANSAERO. The TRANSAERO project bundles the expertise of three railway companies and eight universities and research institutions in Europe to improve the physical understanding of the time-dependent effects of sidewind forces, train passing and pressure waves in tunnels. The goal was to find efficient and economically satisfying solutions to these problems by simultaneously regarding high-speed rolling stock, infrastructure and operating conditions.

The Tenth International Symposium on Continuum Models and Discrete Systems (CMDSIO) took place at the Shoresh Holiday Complex in Shoresh, Israel, near the Capital City Jerusalem, from 30 June until 4 July 2003. The previous symposia in this series were: CMDS 1 (Kielce, Poland, 1975) CMDS2 (Mont Gabriel, Canada, 1977) CMDS3 (Freudenstadt, German Federal Republic, 1979) CMDS4 (Stockholm, Sweden, 1981) CMDS5 (Nottingham, England, 1985) CMDS6 (Dijon, France, 1989) CMDS7 (Paderborn, Germany, 1992) CMDS8 (Varna, Bulgaria, 1995) CMDS9 (Istanbul, Turkey, 1998) As in the previous symposia, participation was by invitation from the Inter- national Scientific Committee. Participants were chosen from a list of recom- mendations of the committee members, as well as from applications following advertisement of the symposium on the internet and in email messages to po- tential participants. The members of the International Scientific Committee were: Karl-Heinz Anthony CMDS7 Chairman (University ofPaderborn, Germany) David J. Bergman, Conference Chairman (Tel Aviv University, Israel) Bikas K. Chakrabatii (Saha Institute of Nuclear Physics Calcutta, West Bengal, India) Hans Jurgen Herrmann (University of Stuttgart, Germany; and ESPCI, Paris, France) Esin Inan, CMDS9 Chairwoman (Istanbul Technical University, Istanbul, Turkey) Dominique Jeulin (ENSMP, Fontainebleau, France) Mark Kachanov (Tufts University, Boston, MA, USA) David Kinderlehrer (Carnegie-Mellon University, Pittsburgh, PA, USA) Arnold M. Kosevich (B. Verkin Institute for Low Temperature Physics, Khat"kov, Ukraine) Valery M. Levin (Petrozavodsk State University, Petrozavodsk, Russia) Konstantin Z.

Enriching understanding of the current theoretical debate on project-based learning and R&D sourcing, " Project-based Knowledge in Organizing Open Innovation "draws on innovation literature and knowledge-based perspectives to solve open problems in the relationship between knowledge development at project level and how firms organize product innovation combining in-house R&D activities with inbound open innovation.

Through field research in different industrial settings (pharmaceutical, automotive and machine tools) and with complementary methodological approaches, this book provides empirical evidence on how project knowledge features affect sourcing decisions at firm level.

Due to the emerging interest in the management literature on project-based organizations and on the relevance of project forms of organizing in a knowledge-based economy, this volume will appeal to scholars and students in business and management, in particular those in innovation management, organization theory and strategic management.

Addressing the still open issue of how the firm level should be complemented by studies at the project level of analysis, this book provides theoretical and empirical arguments on the advantages of a more fine-grained level of analysis to understand how firms organize their innovation processes across boundaries."