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9th European Medical and Biological Engineering Conference: Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 1 (IFMBE Proceedings #112)
by Samo Mahnič-Kalamiza Tomaž Jarm Rok ŠmercThis book informs on new trends, challenges, and solutions, in the multidisciplinary field of biomedical engineering. It covers traditional topics in biomechanics and biomedical signal processing, as well as recent trends relating to the applications of artificial intelligence and machine learning methods in medicine and biology, and to bioengineering education. Gathering the second volume of the proceedings of the 9th European Medical and Biological Engineering Conference (EMBEC 2024), held on June 9-13, 2024, in Portorož, Slovenia, this book bridges fundamental and clinically-oriented research, emphasizing the role of translational research in biomedical engineering. It aims at inspiring and fostering communication and collaboration between engineers, physicists, biologists, physicians and other professionals dealing with cutting-edge themes in and advanced technologies serving the broad field of biology and healthcare.
9th European Medical and Biological Engineering Conference: Proceedings of EMBEC 2024, June 9-13, 2024, Portorož, Slovenia, Volume 2 (IFMBE Proceedings #113)
by Samo Mahnič-Kalamiza Tomaž Jarm Rok ŠmercThis book informs on new trends, challenges, and solutions, in the multidisciplinary field of biomedical engineering. It covers traditional topics in biomechanics and biomedical signal processing, as well as recent trends relating to the applications of artificial intelligence and IoT in healthcare, wearable devices for patient monitoring, monitoring of medical devices, machine learning applications in medical data, among others. Gathering the second volume of the proceedings of the 9th European Medical and Biological Engineering Conference (EMBEC 2024), held on June 9-13, 2024, in Portorož, Slovenia, this book bridges fundamental and clinically-oriented research, emphasizing the role of translational research in biomedical engineering. It aims at inspiring and fostering communication and collaboration between engineers, physicists, biologists, physicians and other professionals dealing with cutting-edge themes in and advanced technologies serving the broad field of biology and healthcare.
ABCs of Electronics: An Easy Guide to Electronics Engineering (Maker Innovations Series)
by Farzin AsadiLearn the fundamental principles of electronic components in a simple, easy-to-follow text. This book is a must-have for anyone seeking to master the basics of electronic engineering.Completely avoiding unnecessary complex technical concepts and highly mathematical terms, chapters are presented in simple language, using analogies that are familiar to everyone. From deciphering schematics to practical implementation, the knowledge imparted in these pages opens doors to exciting possibilities. You'll gain a solid understanding of crucial components like diodes, transistors, relays, ICs, DC motors, and more.Whether you're a student looking to grasp the fundamentals or a maker eager to bring your projects to life, ABCs of Electronics is your essential companion. What You'll LearnGain the skills to read and implement electronic schematicsDevelop a practical understanding of digital electronics, logic gates, and prototyping platforms.Discover how to work with DC motors and relays for various electronic applications.Acquire essential electronics knowledge Simplify the complexities of electronics and offer practical, hands-on guidance.Who This Book Is ForMakers, high school and college students pursuing electronic engineering, individuals with a general interest in electronics, and anyone seeking a practical and simplified approach to learning the fundamentals of electronics.
Absolute Essentials of Ethereum (Absolute Essentials of Business and Economics)
by Paul Dylan-EnnisAbsolute Essentials of Ethereum is a concise textbook which guides the reader through the fascinating world of the emerging Ethereum ecosystem, from the basics of how its blockchain works to cutting-edge applications.Written by an experienced educator, each chapter is designed to progress potential students from class to class. Technical concepts are clearly explained for those new to the topic and readers are supported with definitions and summaries in each chapter. Real-life case studies situate the overviews in a contemporary context. Topics covered include the Ethereum Execution and Consensus layers, Ethereum governance and community, Decentralised Autonomous Organisations (DAOs), Decentralised Finance (DeFi), Non-Fungible Tokens (NFTs) and Layer 2.This book is the ideal text to support undergraduate and postgraduate courses on blockchain technologies, cryptocurrencies, Web3 and fintech, as well as for those who want to know how Ethereum really works.
Absolute Essentials of Ethereum (Absolute Essentials of Business and Economics)
by Paul Dylan-EnnisAbsolute Essentials of Ethereum is a concise textbook which guides the reader through the fascinating world of the emerging Ethereum ecosystem, from the basics of how its blockchain works to cutting-edge applications.Written by an experienced educator, each chapter is designed to progress potential students from class to class. Technical concepts are clearly explained for those new to the topic and readers are supported with definitions and summaries in each chapter. Real-life case studies situate the overviews in a contemporary context. Topics covered include the Ethereum Execution and Consensus layers, Ethereum governance and community, Decentralised Autonomous Organisations (DAOs), Decentralised Finance (DeFi), Non-Fungible Tokens (NFTs) and Layer 2.This book is the ideal text to support undergraduate and postgraduate courses on blockchain technologies, cryptocurrencies, Web3 and fintech, as well as for those who want to know how Ethereum really works.
Accelerating Discoveries in Data Science and Artificial Intelligence I: ICDSAI 2023, LIET Vizianagaram, India, April 24–25 (Springer Proceedings in Mathematics & Statistics #421)
by Nishtha Kesswani Frank M. Lin Ashokkumar Patel Bosubabu SambanaThe Volume 1 book on Accelerating Discoveries in Data Science and Artificial Intelligence (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, the International Association of Academicians (IAASSE), and the Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and data science. The book introduces key topics and algorithms and explains how these contribute to healthcare, manufacturing, law, finance, retail, real estate, accounting, digital marketing, and various other fields. The book is primarily meant for academics, researchers, and engineers who want to employ data science techniques and AI applications to address real-world issues. Besides that, businesses and technology creators will also find it appealing to use in industry.
Accelerating Discoveries in Data Science and Artificial Intelligence II: ICDSAI 2023, LIET Vizianagaram, India, April 24–25 (Springer Proceedings in Mathematics & Statistics #438)
by Nishtha Kesswani Frank M. Lin Ashokkumar Patel Bosubabu SambanaThis edited volume on machine learning and big data analytics (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, International Association of Academicians (IAASSE), and Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and Data Science. With the fascinating development of technologies in several industries, there are numerous opportunities to develop innovative intelligence technologies to solve a wide range of uncertainties in various real-life problems. Researchers and academics have been drawn to building creative AI strategies by combining data science with classic mathematical methodologies. The book brings together leading researchers who wish to continue to advance the field and create a broad knowledge about the most recent research.
Accelerators for Convolutional Neural Networks
by Arslan Munir Joonho Kong Mahmood Azhar QureshiAccelerators for Convolutional Neural Networks Comprehensive and thorough resource exploring different types of convolutional neural networks and complementary accelerators Accelerators for Convolutional Neural Networks provides basic deep learning knowledge and instructive content to build up convolutional neural network (CNN) accelerators for the Internet of things (IoT) and edge computing practitioners, elucidating compressive coding for CNNs, presenting a two-step lossless input feature maps compression method, discussing arithmetic coding -based lossless weights compression method and the design of an associated decoding method, describing contemporary sparse CNNs that consider sparsity in both weights and activation maps, and discussing hardware/software co-design and co-scheduling techniques that can lead to better optimization and utilization of the available hardware resources for CNN acceleration. The first part of the book provides an overview of CNNs along with the composition and parameters of different contemporary CNN models. Later chapters focus on compressive coding for CNNs and the design of dense CNN accelerators. The book also provides directions for future research and development for CNN accelerators. Other sample topics covered in Accelerators for Convolutional Neural Networks include: How to apply arithmetic coding and decoding with range scaling for lossless weight compression for 5-bit CNN weights to deploy CNNs in extremely resource-constrained systems State-of-the-art research surrounding dense CNN accelerators, which are mostly based on systolic arrays or parallel multiply-accumulate (MAC) arrays iMAC dense CNN accelerator, which combines image-to-column (im2col) and general matrix multiplication (GEMM) hardware acceleration Multi-threaded, low-cost, log-based processing element (PE) core, instances of which are stacked in a spatial grid to engender NeuroMAX dense accelerator Sparse-PE, a multi-threaded and flexible CNN PE core that exploits sparsity in both weights and activation maps, instances of which can be stacked in a spatial grid for engendering sparse CNN accelerators For researchers in AI, computer vision, computer architecture, and embedded systems, along with graduate and senior undergraduate students in related programs of study, Accelerators for Convolutional Neural Networks is an essential resource to understanding the many facets of the subject and relevant applications.
Accelerators for Convolutional Neural Networks
by Arslan Munir Joonho Kong Mahmood Azhar QureshiAccelerators for Convolutional Neural Networks Comprehensive and thorough resource exploring different types of convolutional neural networks and complementary accelerators Accelerators for Convolutional Neural Networks provides basic deep learning knowledge and instructive content to build up convolutional neural network (CNN) accelerators for the Internet of things (IoT) and edge computing practitioners, elucidating compressive coding for CNNs, presenting a two-step lossless input feature maps compression method, discussing arithmetic coding -based lossless weights compression method and the design of an associated decoding method, describing contemporary sparse CNNs that consider sparsity in both weights and activation maps, and discussing hardware/software co-design and co-scheduling techniques that can lead to better optimization and utilization of the available hardware resources for CNN acceleration. The first part of the book provides an overview of CNNs along with the composition and parameters of different contemporary CNN models. Later chapters focus on compressive coding for CNNs and the design of dense CNN accelerators. The book also provides directions for future research and development for CNN accelerators. Other sample topics covered in Accelerators for Convolutional Neural Networks include: How to apply arithmetic coding and decoding with range scaling for lossless weight compression for 5-bit CNN weights to deploy CNNs in extremely resource-constrained systems State-of-the-art research surrounding dense CNN accelerators, which are mostly based on systolic arrays or parallel multiply-accumulate (MAC) arrays iMAC dense CNN accelerator, which combines image-to-column (im2col) and general matrix multiplication (GEMM) hardware acceleration Multi-threaded, low-cost, log-based processing element (PE) core, instances of which are stacked in a spatial grid to engender NeuroMAX dense accelerator Sparse-PE, a multi-threaded and flexible CNN PE core that exploits sparsity in both weights and activation maps, instances of which can be stacked in a spatial grid for engendering sparse CNN accelerators For researchers in AI, computer vision, computer architecture, and embedded systems, along with graduate and senior undergraduate students in related programs of study, Accelerators for Convolutional Neural Networks is an essential resource to understanding the many facets of the subject and relevant applications.
The Accidental CIO: A Lean and Agile Playbook for IT Leaders
by Scott MillettAn indispensable guide showing IT leaders the way to balance the needs of innovation and exploration with exploitation and operational reliability Many books on modern IT leadership focus solely on supporting innovation and disruption. In practice these must be balanced with the need to support waste reduction in existing processes and capabilities while keeping the foundation operational, secure, compliant with regulations, and cost effective. In The Accidental CIO, veteran software developer-turned-executive Scott Millett delivers an essential playbook to becoming an impactful, strategic leader at any stage of your IT leadership journey from your earliest aspirations to long time incumbents in director and C-suite roles. You’ll find a wealth of hands-on advice for tackling the many challenges and paradoxes that face technology leaders, from creating an aligned IT strategy, defining a target architecture, designing a balanced operating model, and leading teams and executing strategy. After the foreword from Simon Wardley, The Accidental CIO will help you: Understand problem contexts you will face using the Cynefin decision making framework, and how the philosophies of agile, lean and design thinking can help manage them. Design an adaptive and strategically aligned operating model by applying the appropriate ways of working and governance approaches depending on each unique problem context. Organize a department using a blend of holacratic and hierarchical principles, and leveraging modern approaches such as Team Topology and Socio-technical patterns. Develop and deploy an effective and aligned IT Strategy using Wardley mapping based on a deep knowledge of your business architecture. With this knowledge you’ll be ready to create an empowered IT organization focused on solving customer problems and generating enterprise value. You’ll understand the science behind what motivates teams and changes behavior. And you’ll show your skills as a business leader thinking beyond IT outputs to impactful business outcomes.
The Accidental CIO: A Lean and Agile Playbook for IT Leaders
by Scott MillettAn indispensable guide showing IT leaders the way to balance the needs of innovation and exploration with exploitation and operational reliability Many books on modern IT leadership focus solely on supporting innovation and disruption. In practice these must be balanced with the need to support waste reduction in existing processes and capabilities while keeping the foundation operational, secure, compliant with regulations, and cost effective. In The Accidental CIO, veteran software developer-turned-executive Scott Millett delivers an essential playbook to becoming an impactful, strategic leader at any stage of your IT leadership journey from your earliest aspirations to long time incumbents in director and C-suite roles. You’ll find a wealth of hands-on advice for tackling the many challenges and paradoxes that face technology leaders, from creating an aligned IT strategy, defining a target architecture, designing a balanced operating model, and leading teams and executing strategy. After the foreword from Simon Wardley, The Accidental CIO will help you: Understand problem contexts you will face using the Cynefin decision making framework, and how the philosophies of agile, lean and design thinking can help manage them. Design an adaptive and strategically aligned operating model by applying the appropriate ways of working and governance approaches depending on each unique problem context. Organize a department using a blend of holacratic and hierarchical principles, and leveraging modern approaches such as Team Topology and Socio-technical patterns. Develop and deploy an effective and aligned IT Strategy using Wardley mapping based on a deep knowledge of your business architecture. With this knowledge you’ll be ready to create an empowered IT organization focused on solving customer problems and generating enterprise value. You’ll understand the science behind what motivates teams and changes behavior. And you’ll show your skills as a business leader thinking beyond IT outputs to impactful business outcomes.
Accountable and Explainable Methods for Complex Reasoning over Text
by Pepa AtanasovaThis thesis presents research that expands the collective knowledge in the areas of accountability and transparency of machine learning (ML) models developed for complex reasoning tasks over text. In particular, the presented results facilitate the analysis of the reasons behind the outputs of ML models and assist in detecting and correcting for potential harms. It presents two new methods for accountable ML models; advances the state of the art with methods generating textual explanations that are further improved to be fluent, easy to read, and to contain logically connected multi-chain arguments; and makes substantial contributions in the area of diagnostics for explainability approaches. All results are empirically tested on complex reasoning tasks over text, including fact checking, question answering, and natural language inference. This book is a revised version of the PhD dissertation written by the author to receive her PhD from the Faculty of Science, University ofCopenhagen, Denmark. In 2023, it won the Informatics Europe Best Dissertation Award, granted to the most outstanding European PhD thesis in the field of computer science.
Acoustic Cues in the Disambiguation of Polysemous Strings (Synthesis Lectures on Speech and Audio Processing)
by Maja GwóźdźThis book provides an analysis of acoustic features of polysemous strings and an implementation of a speech disambiguation program based on the phonetic information. Throughout the book, the term ‘polysemous string’ refers to idioms with plausible literal interpretations, restrictive and non–restrictive relative clauses, and the same expressions used as quotations and appearing in a non–quotational context. The author explains how, typically, context is sufficient to determine the intended meaning. But there is enough evidence in psycholinguistic and phonetic literature to suspect that these superficially identical strings exhibit different acoustic features. In the experiment presented in the book, the participants were asked to read short excerpts containing corresponding elements of polysemous strings placed in the same intonational position. The acoustic analyses of ditropic pairs and subsequent statistical tests revealed that there is almost no difference in the duration, pitch, or intensity in literal and figurative interpretations. However, the analysis of relative clauses and quotations demonstrated that speakers are more likely to use acoustic cues to differentiate between the two possible readings. The book argues that the acoustic analysis of polysemous phrases could be successfully implemented in designing automatic speech recognition systems in order to improve their performance in disambiguating polysemous phrases.Analyzes acoustic features of polysemous strings and an implementation of a speech disambiguation programIncludes evidence that superficially identical strings exhibit different acoustic featuresArgues that acoustic analysis of polysemous phrases can be successfully implemented in automatic speech recognition
Active Inference: 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers (Communications in Computer and Information Science #1915)
by Christopher L. Buckley Daniela Cialfi Pablo Lanillos Maxwell Ramstead Noor Sajid Hideaki Shimazaki Tim Verbelen Martijn WisseThis volume constitutes the papers of the 4th International Workshop on Active Inference, IWAI 2023, held in Ghent, Belgium on September 2023.The 17 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: active inference and robotics; decision-making and control; active inference and psychology; from theory to implementation; learning representations for active inference; and theory of learning and inference.
Active Object Languages: Current Research Trends (Lecture Notes in Computer Science #14360)
by Einar Broch Johnsen Frank De Boer Reiner Hähnle Ferruccio Damiani Eduard KamburjanActive Objects are a programming paradigm that supports a non-competitive, data-driven concurrency model. This renders active object languages to be well-suited for simulation, data race-free programming, and formal verification. Concepts from active objects made their way into languages such as Rust, ABS, Akka, JavaScript, and Go. This is the first comprehensive state-of-art overview on the subject, the invited contributions are written by experts in the areas of distributed systems, formal methods, and programming languages.
Ad Hoc Networks: 14th EAI International Conference, AdHocNets 2023, Hanoi, Vietnam, November 10-11, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #558)
by Nguyen Thi Dieu Linh Manh Kha Hoang Trong Hop DangThis book constitutes the refereed post-conference proceedings of the 14th EAI International Conference on Ad Hoc Networks, AdHocNets 2023, held in Hanoi, Vietnam, during November 10-11, 2023.The 15 full papers were carefully reviewed and selected from 39 submissions. They were organized in topical sections as follows: intelligent integrated systems; wireless communications; and network solutions.
Adaptive Filtering Under Minimum Mean p-Power Error Criterion
by Badong Chen Wentao MaAdaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing.Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.
Adaptive Filtering Under Minimum Mean p-Power Error Criterion
by Badong Chen Wentao MaAdaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing.Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.
Adaptive Instructional Systems: 6th International Conference, AIS 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings (Lecture Notes in Computer Science #14727)
by Jessica Schwarz Robert A. SottilareThis book constitutes the refereed proceedings of 6th International Conference on Adaptive Instructional Systems, AIS 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The HCII-AIS 2024 contributions have been organized in the following topical sections: Designing and developing adaptive instructional systems; adaptive learning experiences; AI in adaptive learning.
Adaptive On- and Off-Earth Environments (Springer Series in Adaptive Environments)
by Henriette Bier Angelo Cervone Advenit MakayaThis volume investigates the challenges and opportunities for designing, manufacturing and operating off-Earth infrastructures in order to establish adaptive human habitats. The adaptive aspects are considered with respect to the development of adequate infrastructures designed to support human activities. Given the limitations in bringing materials from Earth, utilisation of in-situ resources is crucial for establishing and maintaining these infrastructures.Adaptive on-and off-Earth Environments focuses, among other aspects, on the design, production, and operation processes required to build and maintain such off-Earth infrastructures, while heavily relying on In-Situ Resource Utilisation (ISRU). Such design, production, and operation processes integrate cyber-physical approaches developed and tested on Earth. The challenge is to adapt on-Earth approaches to off-Earth applications aiming at technology advancement and ultimately transfer from on- to off-Earth research. Thischallenge is addressed with contributions from various disciplines ranging from power generation to architecture, construction, and materials engineering involving ISRU for manufacturing processes. All chapters, related to these disciplines, are structured with an emphasis on computing and adaptivity of on-Earth technology to off-Earth applications and vice versa to serve society at large.
Adaptive Power Quality for Power Management Units using Smart Technologies (Future Generation Information Systems)
by Arti Vaish Pankaj Kumar Goswami Surbhi Bhatia Mokhtar ShouranThis book covers issues associated with smart systems due to the presence of onboard nonlinear components. It discusses the advanced architecture of smart systems for power management units. It explores issues of power management and identifies hazardous signals in the power management units of smart devices. It Presents adaptive artificial intelligence and machine learning-based control strategies. Discusses advanced simulations and data synthesis for various power management issues. Showcases solutions to the uncertainty and reliability issues in power management units. Identifies new power quality challenges in smart devices. Explains hybrid active power filters, shunt hybrid active power filters, and the industrial internet of things in power quality management. This book comprehensively discusses advancements of traditional electrical grids, the benefits of smart grids to customers and stakeholders, properties of smart grids, smart grid architecture, smart grid communication, and smart grid security. It further covers the architecture of advance power management units (PMU) of smart devices, and the identification of harmonic distortions with respect to various sensor-based technology. It will serve as an ideal reference text for senior undergraduate and graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.
Adaptive Power Quality for Power Management Units using Smart Technologies (Future Generation Information Systems)
by Arti Vaish Pankaj Kumar Goswami Surbhi Bhatia Mokhtar ShouranThis book covers issues associated with smart systems due to the presence of onboard nonlinear components. It discusses the advanced architecture of smart systems for power management units. It explores issues of power management and identifies hazardous signals in the power management units of smart devices. It Presents adaptive artificial intelligence and machine learning-based control strategies. Discusses advanced simulations and data synthesis for various power management issues. Showcases solutions to the uncertainty and reliability issues in power management units. Identifies new power quality challenges in smart devices. Explains hybrid active power filters, shunt hybrid active power filters, and the industrial internet of things in power quality management. This book comprehensively discusses advancements of traditional electrical grids, the benefits of smart grids to customers and stakeholders, properties of smart grids, smart grid architecture, smart grid communication, and smart grid security. It further covers the architecture of advance power management units (PMU) of smart devices, and the identification of harmonic distortions with respect to various sensor-based technology. It will serve as an ideal reference text for senior undergraduate and graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.
Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4: Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics (Conference Proceedings of the Society for Experimental Mechanics Series)
by Sharlotte L. B. Kramer Emily Retzlaff Piyush Thakre Johan Hoefnagels Marco Rossi Attilio Lattanzi François Hemez Mostafa Mirshekari Austin DowneyAdditive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of topics and includes papers in the following general technical research areas: AM Composites and Polymers Dynamic Behavior of Additively Manufactured Materials and Structures Joint Residual Stress and Additive Manufacturing ML for Material Model Identification Novel AM Structures Novel Processing and Testing of Additively Manufactured Materials Plasticity and Complex Material Behavior Virtual Fields Method
Adoption of Emerging Information and Communication Technology for Sustainability
by Ewa Ziemba JarosławThis book represents an important voice in the discourse on the adoption of emerging ICT for sustainability. It focuses on how emerging ICT acts as a crucial enabler of sustainability, offering new forward-looking approaches to this field. The book explores how emerging ICT adoption drives sustainability efforts in business and public organizations, promoting ecological, economic, social, cultural, and political sustainability. The book's theoretical discussions, conceptual approaches, empirical studies, diverse perspectives, and views make it a valuable and comprehensive reference work. Appealing to both researchers and practitioners, this book provides significant areas for research and practice related to the contribution of emerging ICT adoption to sustainability. It also suggests vital considerations for programming and building sustainable development-driven emerging ICT adoption. Readers will find answers to important contemporary questions, such as: What are the concepts, frameworks, models, and approaches to enhance sustainable development through the adoption of emerging ICT? How does the adoption of emerging ICT influence sustainability? How can emerging ICT be adopted to enhance sustainability? What are the current practices and successful cases of emerging ICT adoption for sustainability? What factors influence emerging ICT adoption to enhance sustainability?
Adoption of Emerging Information and Communication Technology for Sustainability
This book represents an important voice in the discourse on the adoption of emerging ICT for sustainability. It focuses on how emerging ICT acts as a crucial enabler of sustainability, offering new forward-looking approaches to this field. The book explores how emerging ICT adoption drives sustainability efforts in business and public organizations, promoting ecological, economic, social, cultural, and political sustainability. The book's theoretical discussions, conceptual approaches, empirical studies, diverse perspectives, and views make it a valuable and comprehensive reference work. Appealing to both researchers and practitioners, this book provides significant areas for research and practice related to the contribution of emerging ICT adoption to sustainability. It also suggests vital considerations for programming and building sustainable development-driven emerging ICT adoption. Readers will find answers to important contemporary questions, such as: What are the concepts, frameworks, models, and approaches to enhance sustainable development through the adoption of emerging ICT? How does the adoption of emerging ICT influence sustainability? How can emerging ICT be adopted to enhance sustainability? What are the current practices and successful cases of emerging ICT adoption for sustainability? What factors influence emerging ICT adoption to enhance sustainability?