Bücher veröffentlicht von Springer

Dynamics of Coupled Structures, Volume 4: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the fourth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of the Dynamics of Coupled Structures, including papers on: Real-Time/Hybrid Substructuring Transfer Path Analysis Frequency Based Substructuring The Substructuring Benchmark Challenge New Challenges & Approaches in Substructuring

Describes methods to account for ecosystem goods and services in product and process designProvides insight into tools and software packages for modeling various ecosystems so engineers can account for nature's role in their decisionsPresents a systematic framework for assessing and designing manufacturing processes

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts.The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.

The open access book covers a large class of nonlinear systems with many practical engineering applications. The approach is based on the extension of linear systems theory using the Volterra series. In contrast to the few existing treatments, our approach highlights the algebraic structure underlying such systems and is based on Schwartz's distributions (rather than functions). The use of distributions leads naturally to the convolution algebras of linear time-invariant systems and the ones suitable for weakly nonlinear systems emerge as simple extensions to higher order distributions, without having to resort to ad hoc operators. The result is a much-simplified notation, free of multiple integrals, a conceptual simplification, and the ability to solve the associated nonlinear differential equations in a purely algebraic way. The representation based on distributions not only becomes manifestly power series alike, but it includes power series as the description of the subclass of memory-less, time-invariant, weakly nonlinear systems. With this connection, many results from the theory of power series can be extended to the larger class of weakly nonlinear systems with memory. As a specific application, the theory is specialised to weakly nonlinear electric networks. The authors show how they can be described by a set of linear equivalent circuits which can be manipulated in the usual way. The authors include many real-world examples that occur in the design of RF and mmW analogue integrated circuits for telecommunications. The examples show how the theory can elucidate many nonlinear phenomena and suggest solutions that an approach entirely based on numerical simulations can hardly suggest. The theory is extended to weakly nonlinear time-varying systems, and the authors show examples of how time-varying electric networks allow implementing functions unfeasible with time-invariant ones. The book is primarily intended for engineering students in upper semesters and in particular for electrical engineers. Practising engineers wanting to deepen their understanding of nonlinear systems should also find it useful. The book also serves as an introduction to distributions for undergraduate students of mathematics.

This book offers a comprehensive survey of shared-memory synchronization, with an emphasis on ¿systems-level¿ issues. It includes sufficient coverage of architectural details to understand correctness and performance on modern multicore machines, and sufficient coverage of higher-level issues to understand how synchronization is embedded in modern programming languages.The primary intended audience for this book is ¿systems programmers¿¿the authors of operating systems, library packages, language run-time systems, concurrent data structures, and server and utility programs. Much of the discussion should also be of interest to application programmers who want to make good use of the synchronization mechanisms available to them, and to computer architects who want to understand the ramifications of their design decisions on systems-level code.

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

This open access book offers a comprehensive exploration of the digital innovations that have emerged in recent years for the circular built environment. Each chapter is meticulously crafted to ensure that both academic readers and industry practitioners can grasp the inner workings of each digital technology, understand its relevance to the circular built environment, examine real-life implementations, and appreciate the intriguing business models behind them. Our primary objective is to blend scholarly knowledge with practical inspiration by providing real-life case studies for each innovation. The authors, who possess extensive expertise in their respective fields, have contributed chapters dedicated to digital technologies within their areas of specialization. The book is organized into three distinct parts. The first part focuses on data-driven digital technologies and delves into how their capabilities can facilitate the transition to a circular built environment. Essential aspects such as building information modeling (BIM), digital twins, geographical information systems (GIS), scanning technologies, artificial intelligence (AI), data templates, and material passports are explored as vital tools for data collection, integration, and analysis in the context of circular construction. In the second part, various digital technologies for design and fabrication are introduced. Topics covered include computational design algorithms, additive and subtractive manufacturing, robotic manufacturing, and extended reality. These discussions shed light on how these technologies can be leveraged to enhance design and fabrication processes within the circular built environment. Finally, the last part of the book presents emerging digital concepts related to business and governance. It explores the role of deconstruction and reverse logistics, blockchain technology, digital building logbooks, and innovative business models as enablers of circularity inthe built environment. The book concludes with a chapter dedicated to digital transformation and its potential to propel the built environment towards a regenerative future. In addition to the substantive content, the book features forewords and perspectives from esteemed experts, providing valuable economic and creative insights to complement its comprehensive approach.

The 2nd edition has been thoroughly revised and is intended as a wakeup call in the stagnant and dormant field of switching algebra and logic circuit design. It presents the material in a concise but thorough way. The topics selected are an in-depth presentation of switching algebra, a theory of memory circuits (sometimes called flop flops), a new approach to asynchronous circuits, and a newly added part presenting a unique programming technique (or language) for programmable logic controllers (PLCs). Be ready for the unorthodox and controversial.

This book publishes the latest findings and ideas in the field of additive manufacturing presented by authors from prominent institutions around the world at the iCAT 2023 conference. The authors address various technological and medical aspects, ranging from materials science to the specific behaviour of the technology under different working conditions. The book is divided into four sections, three of which are dedicated to the purely technological aspects of additive manufacturing, covering metal processes, polymer processes and simulation. The fourth part of the book is dedicated to the medical applications of additive manufacturing, covering areas ranging from orthopaedic surgeries to materials used in medical AM.Overall, the book provides insight into the current state of the science and applications of additive manufacturing.

This book presents the proceedings of the 4th International Conference on Electronics and Signal Processing (ICESP 2023), which was held in Macau, China during January 13-15, 2023. The book consists of contributions from various authors from both academia and industry, focusing on a diverse aspect of signal processing and information communication systems. The published papers suggest cutting-edge solutions that contribute to the quest for the future applications and communicating systems. The book is a useful reference to research students, research fellows, and scientists and engineers in the corresponding fields.

This book offers a comprehensive overview of forces shaping urban renewal and the sustainable and inclusive transformation of contemporary cities. It discusses temporariness and uncertainty of citizenship, participation, and inclusion, as well as the energy and digital transformation, merging different perspectives, such as the social, philosophical, economic, and architectural ones. Based on revised and extended contributions to the International Congress "TEMPORARY: Citizenship, Architecture and City", held virtually on November 20-21, 2022, from the University of Bologna, this book offers extensive information and a thought-provoking reading to researchers in architecture, anthropology, social and environmental policy, as well as to professionals and policy makers involved in planning the city of the future.

Dynamics of Civil Structures, Volume 2: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the second volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of the Dynamics of Civil Structures, including papers on: Structural VibrationsStructural Health MonitoringHuman-Structure InteractionVibration Control and MitigationInnovative Sensing for Structural ApplicationsSmart Structures and AutomationModal Identification of Structural SystemsDynamics of Buildings, Bridges, and Off-Shore Platforms

This book gathers peer-reviewed contributions presented at the 4th International Conference on Structural Engineering and Construction Management (SECON'23), held in Angamaly, Kerala, India, on 7-9 June 2023. The meeting served as a fertile platform for discussion, sharing sound knowledge and introducing novel ideas on issues related to sustainable construction and design for the future. The respective contributions address various aspects of numerical modeling and simulation in structural engineering, structural dynamics and earthquake engineering, advanced analysis and design of foundations, BIM, building energy management, and technical project management. Accordingly, the book offers a valuable, up-to-date tool and essential overview of the subject for scientists and practitioners alike, and will inspire further investigations and research.

This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites--such as large gathering places--through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.

Advances in Computational Vision and Robotics contains research papers from diverse field of engineering, computer science, social and bio-medical science. This book contains various research articles from the following domain: i. Pattern recognition and Robotic Vision.ii. Artificial Intelligence and Deep Learning application.iii. Big Data Application in Robotics.iv. Deep Learning and Neural Network.Authors from the area of Particle Swarm Optimization, Defect Detection, Gesture Information Collection, Image Processing and Remote Sensing, Melody Recognition, Convolution Neural Network and Satellite Image processing etc. have contributed their research outcomes.

"This two-volume book originates from Techno-Societal 2022, the 4th International Conference on Advanced Technologies for Societal Applications held in Maharashtra, India. The conference brought together faculty members from various engineering colleges and eminent researchers from reputed organizations to solve Indian regional relevant problems.The focus of the Volume-I is on technologies that help develop and improve society, with a particular emphasis on issues such as advanced and sustainable technologies for water, energy, transportation, housing, and sanitation. Additionally, the book covers advances in pharmacy, nutraceuticals, and traditional medicines, as well as chemical and physical processes.The Volume-II covers deployable environment or health care technologies, mechatronics, micro-nano related technologies for bio and societal applications, and advanced assessment of employees and employment sectors.The conference aims to provide a platform for innovators to share their best practices or products developed to solve specific local problems, which in turn may inspire other researchers to solve problems in their own regions. Expert researchers also propose technologies that may find applications in different regions, providing a multidisciplinary platform for researchers from a broad range of disciplines of science, engineering, and technology to report innovations at different levels."

"This book, divided into two volumes, originates from Techno-Societal 2022: the 4th International Conference on Advanced Technologies for Societal Applications, Maharashtra, India. The conference brings together faculty members from various engineering colleges to solve relevant regional problems in India, under the guidance of eminent researchers from various reputed organizations.The focus of Volume - I is on technologies that help develop and improve society, with particular emphasis on sensor and ICT-based technologies for the betterment of people, technologies for agriculture and healthcare, micro and nano technological applications, as well as Artificial Intelligence and Big Data.Volume - II delves into commercially successful rural and agricultural technologies, engineering for rural development, ICT-based societal applications, manufacturing and fabrication processes for societal applications, material science & composites, and sensor, image, and data-driven societal technologies.This conference aims to provide a platform for innovators to share their best practices or products developed to solve specific local problems, which in turn may inspire other researchers to solve similar problems in their regions. Additionally, technologies proposed by expert researchers may find applications in different regions, making it a multidisciplinary platform for reporting innovations at different levels in Science, Engineering, and Technology."

Machine learning (ML)  approaches have been extensively and successfully employed in various areas, like in economics, medical predictions,  face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time.  With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of  modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.

This edited collection brings together a range of experiences from the field, largely in the context of CSCW and HCI. It focuses specifically on the experiences of people who have worked in difficult, tense, delicate and sometimes conflictual and dangerous settings. The tensions faced by researchers and, more importantly, how they manage to deal with them are often under-remarked. Unlike the bulk of published ethnographic work, the chapters in this book deal more explicitly with the various practical problems that researchers with varying degrees of experience face. Our aim in this book is to give a voice to researchers who have sometimes contended with unexpected issues and who sometimes have had to face them on their own. We explore incidents which may entail emotional conflict, embarrassment and shame, feelings of isolation, arguments with other members of a team, political pressures, and ideological confusions, to name but a few. Senior figures in research laboratories and elsewhere may provide intellectual direction and support but may not always recognise the personal and problematic nature of qualitative enquiry undertaken by relatively inexperienced researchers. The chapters examine feelings of isolation, the difficulty of 'taking sides', the negotiation of personal, ethical, and political pressures in the field, and dealing with conflicting visions of what the research should be about. The book is a resource for those embarking on the challenges of working in unfamiliar or difficult settings and moreover should act as a reminder to academics who might have forgotten the practical issues that researchers can face and how they deal with them.

The book provides new perspectives from leading researchers accentuating and examining the central role of the built environment in conceiving and implementing multifaceted solutions for the complex challenges of creating resilient communities, revealing critical potentials for architecture and design to contribute in more informed and long-term ways to the urgent transition of our society. The volume offers a compilation of peer-reviewed papers that uniquely connects knowledge and criticality broadly across practice and academia; from new technologies, theories and methods to community engaged practice on many scales, and more. The book is part of a series of six volumes that explore the agency of the built environment in relation to the SDGs through new research conducted by leading researchers. The series is led by editors Mette Ramsgaard Thomsen and Martin Tamke in collaboration with the theme editors: - Design for Climate Adaptation: Billie Faircloth and Maibritt Pedersen Zari- Design for Rethinking Resources: Carlo Ratti and Mette Ramsgaard Thomsen (Eds.)- Design for Resilient Communities: Anna Rubbo and Juan Du (Eds.)- Design for Health: Arif Hasan and Christian Benimana (Eds.)- Design for Inclusivity: Magda Mostafa and Ruth Baumeister (Eds.)- Design for Partnerships for Change: Sandi Hilal and Merve Bedir (Eds.)

New technologies provide us with new opportunities to create new learning experiences, leveraging research from a variety of disciplines along with imagination and creativity. The Learning Ideas Conference was created to bring researchers, practitioners, and others together to discuss, innovate, and create.The Learning Ideas Conference 2023 was the 16th annual conference and was held as a hybrid event. The conference took place from June 14¿16, 2023., both in New York and online, and included a special track: The ALICE (Adaptive Learning via Interactive, Collaborative and Emotional Approaches) Special Track.Topics covered in this book include among others: online learning methodologies, diversity and inclusion in learning, case studies in university and corporate settings, new technologies in learning (such as virtual reality, augmented reality, holograms, and artificial intelligence), adaptive learning, and project-based learning.The papers included in this book are of interest to researchers in pedagogy and learning theory, university faculty members and administrators, learning and development specialists, user experience designers, and others.

Soft computing techniques open significant opportunities in several areas, such as industry, medicine, energy, security, transportation, and education. This book provides theory and applications development using soft computing techniques by organizing intelligent systems for many applications to the benefit of humanity. The book comes from a multidisciplinary subject whose audience can come from different academic departments, e.g., department of computer science and engineering, department of medical imaging, department of biomedical informatics, department of education sciences, and so on where artificial intelligence and soft computing are of routine courses. The book covers a range of audience from academicians, practitioners, researchers, and students to stakeholders. It can support graduate students and interns to develop a deep understanding of the latest paradigms in the soft computing techniques.

This book serves as a complementary resource to the courses "Advanced structural optimization" and "Structural optimization in automotive engineering" taught by the author at the University of Siegen, North-Rhine-Westphalia, Germany since 2001. Focusing on optimization problems in the field of structural engineering, this book offers a rigorous and analytical approach to problem-solving. Each chapter of the book begins with a brief overview of classical results and the derivation of governing equations. The solutions to optimization problems are then presented in a closed form, with the author guiding readers through several analytical methods for solving stability and contact tasks. Throughout the book, the author takes care to ensure that even readers without extensive experience in numerical computations can understand the conclusion of each relation. The book features several basic optimization problems, selected from a large pool of previously solvedproblems, with a particular emphasis on the unique features of optimization problems. By presenting analytical solutions, readers can better understand other known optimization problems and gain the skills needed to independently set and solve new problems. With its comprehensive and rigorous approach to problem-solving, this book is sure to enhance the reader's understanding of the field and equip them with the skills needed to tackle new challenges.

This book presents a collection of high-quality research papers accepted to multi-conference consisting of the 13th International Conference on Image Processing and Communications (IP&C 2023), the 13th International Conference on Computer Recognition Systems (CORES 2023) held jointly in Wroclaw, Poland (virtually), in June 2023.The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results.The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems.We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications.

This book covers the most recent, advanced methods for designing mixed-signal integrated circuits, for radiation-hardened sensor readouts (capacitive) and frequency synthesizers (quadrature, digitally controlled oscillators and all-digital PLL etc.). The authors discuss the ionizing radiation sources, complex failure mechanisms as well as several mitigation strategies for avoiding such failures. Readers will benefit from an introduction to the essential theory and fundamentals of ionizing radiation and time-based signal processing, with the details of the implementation of several radiation-hardened IC prototypes. The radiation-hardening methods and solutions described are supported by theory and experimental data with, underlying tradeoffs. Discusses the basics of time-based signal processing and its effectiveness in mitigating ionizing radiationProvides mitigation strategies and recommendations for reducing radiation induced effects in Integrated CircuitsIncludes coverage of devices used in measuring radiation, focusing on semiconductor-based radiation sensors

This proceedings brings together the papers presented at the International Congress and Workshop on Industrial AI and eMaintenance 2023 (IAI2023). The conference integrates the themes and topics of three conferences: Industrial AI & eMaintenance, Condition Monitoring and Diagnostic Engineering Management (COMADEM) and, Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform. This proceedings serves both academy and industry in providing an excellent platform for collaboration by providing a forum for exchange of ideas and networking. The 21st century has seen remarkable progress in Artificial Intelligence, with application to a variety of fields (computer vision, automatic translation, sentiment analysis in social networks, robotics, etc.) The IAI2023 focuses on Industrial Artificial Intelligence, or IAI. The emergence of industrial AI applications holds tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets. Opportunities in Industrial AI exist in many industries such as aerospace, railways, mining, construction, process industry, etc. Its development is powered by several trends: the Internet of Things (IoT); the increasing convergence between OT (operational technologies) and IT (information technologies); last but not least, the unabated fast-paced developments of advanced analytics. However, numerous technical and organizational challenges to the widespread development of industrial AI still exist. The IAI2023 conference and its proceedings foster fruitful discussions between AI creators and industrial practitioners.

La construcción es el medio del arquitecto y el ingeniero proyectista para transformar una idea de proyecto en realidad construida. Es esta perspectiva desde la que el arquitecto José Luis Moro trata el tema de la "construcción de edificios" en cuatro extensos volúmenes. Cada uno de ellos se dedica a los fundamentos metódicos, físicos y funcionales, a la concepción de una solución constructiva básica y, por último, a su aplicación en el detalle constructivo. No sólo se transmiten los contenidos de forma exhaustiva, sino que al mismo tiempo se mantiene la mayor claridad posible, así como la mayor legibilidad textual y gráfica, para facilitar a profesionales, alumnos y estudiosos el acceso a la materia. Un objetivo importante de la obra, más allá de ofrecer información técnica y científica, es también mostrar las relaciones e interacciones complejas entre el diseño, el material y la construcción. Se concedió gran importancia a desarrollar un contexto coherente y global entre los numerosos y muy diversos temas. El volumen 2 trata de los aspectos constructivos que influyen en la concepción de los edificios y sus componentes. En primer lugar, esto incluye la composición de envolventes de edificios--elementos de superficie continua de gran formato--a partir de componentes individuales, teniendo en cuenta distintas variantes de geometría plana y curva y el diseño estructural básico. Como otro importante criterio de diseño con relevancia conceptual, se analizan las estructuras portantes primarias en sus manifestaciones elementales más importantes. Además, se analizan los métodos de construcción más comunes en la práctica de la construcción, basados predominantemente en materiales, incluidas sus influencias relevantes para el diseño.

This is an introductory textbook for courses in Synchronous Digital Design that enables students to develop useful intuitions for all of the key concepts of digital design. The author focuses this tutorial on the design flow, which is introduced as an iterative cycle of Analysis, Improvement, Modeling, and Synthesis. All the basic elements of digital design are covered, starting with the CMOS transistor to provide an abstraction upon which everything else is built. The other main foundational concepts introduced are clocked synchronous register-transfer level design, datapath, finite state machines and communication between clock domains.

Effective implementation of predictive maintenance programs in power plants requires the online condition monitoring of electrical generators. This book offers a comprehensive guide on the measurement, detection, and interpretation of partial discharges in hydroelectric generators. It covers a range of essential topics such as the physics of partial discharge phenomenon, various types of defects and partial discharge patterns, sensors and acquisition procedures, signal processing techniques, automatic classification of discharge types, and correlation between partial discharge occurrence and ozone generation. Numerical modelling of partial discharges and calculation of the associated radiating electromagnetic fields are also discussed. To aid understanding, the book provides theoretical explanations, practical examples, and functional Python code on Google's Colaboratory platform. This book is a valuable resource for anyone seeking a deep understanding of partial discharges in hydroelectric generators.Presents in-depth theory with examples;Provides experimental data illustrating effects of PD in machine components;Includes functional Python and C code examples.

This book synthesizes perspectives on how ¿place¿ is deeply intertwined with our spirituality and well-being. Split into three sections, this book brings together contributions from global scholars across a range of disciplines to unravel how the personal, social, and cultural spheres of place shape our spiritual experiences and overall well-being. It is an essential read for those interested in enriching their knowledge of the linkages between place, spirituality, and well-being, while also providing a foundation for future research on place and its intersections with both spirituality and well-being.