Books published by CRC Press

The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.

Intelligent Techniques for Cyber-Physical Systems covers challenges, opportunities, and open research directions for cyber-physical systems (CPS). It focuses on the design and development of machine learning and metaheuristics-enabled methods as well as blockchain for various challenges like security, resource management, computation offloading, trust management, and others in edge, fog, and cloud computing, Internet of Things (IoT), Internet of Everything (IoE), and smart cities. It also includes the design and analysis of deep learning-based models, sensing technologies, metaheuristics, and blockchain for complex real-life systems for CPS. Offers perspectives on the research directions in CPS; Provides state-of-the-art reviews on intelligent techniques, machine learning, deep learning, and reinforcement learning-based models for cloud-enabled IoT environment; Discusses intelligent techniques for complex real-life problems in different CPS scenarios; Reviews advancements in blockchain technology and smart cities; Explores machine learning-based intelligent models for combinatorial optimization problems. The book is aimed at researchers and graduate students in computer science, engineering, and electrical and electronics engineering.

Introductory Elements of Analysis and Design in Chemical Engineering introduces readers to how chemical engineers think. It explains the application of analytical methods to phenomena important in chemical engineering and teaches analytical skills in the context of engineering design. A principal goal is to help readers reinforce their understanding of mathematics (especially calculus) and science as they are introduced to engineering thinking. Emphasizes basic principles, methods, and problem solving at an elementary level. Presents concepts in calculus, chemistry, and physics and methods of analysis on the basis of experiment and observation. Connects experimental results to mathematical representations. Provides numerous illustrative examples and builds on them to introduce processing and process flow diagrams and to place chemical engineering in an historical context. Includes problems at the end of each chapter. Aimed at readers beginning their studies in chemical engineering, this textbook offers an approachable introduction to the principles of analysis and design in chemical engineering to help readers learn to think quantitatively and with a foundation of chemical engineering concepts.

The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare. The book uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality for the implementation of cost-effective, real-time, and user-friendly solutions for healthcare problems. Immersive Virtual and Augmented Reality in Healthcare: An IoT and Blockchain Perspective presents the trends, best practices, techniques, developments, sensors, materials, and case studies that are using augmented and virtual reality environments with the state-of-the-art latest technologies like IoT, blockchain, and machine learning in the implementation of healthcare systems. The book focuses on the design and implementation of smart healthcare systems with major challenges to further explore more robust and efficient healthcare solutions in terms of low cost, faster algorithms, more sensitive IoT sensors, faster data communication, and real-time solutions for treatment. It discusses the use of virtual and augmented reality and how it can provide user-friendly and interactive communication within healthcare systems. Illustrated through case studies, the book conveys how different hospitals and healthcare equipment providers can adopt good practices found in the book to improve the performance/productivity of their staff and system. The content is rounded out by providing how IoT, blockchain, and artificial intelligence can provide the framework for designing and/or upgrading traditional healthcare systems by increasing security and data privacy. A valuable resource for engineers working with systems, the healthcare professionals involved in the design and development of healthcare devices and systems, researcher scholars, multidisciplinary scientists, students, and academics who are wishing to explore the use of virtual and augmented reality in new and existing healthcare systems.

Making it HUGE in Video Games recounts the astonishing journey of an unassuming, middle-of-the-bell-curve young man, rising from mundane beginnings to scale the dizzying heights of artistic distinction and financial success in the worldwide video game industry.This is the story of Chance Thomas, a moderately talented musician who struggled and grew to compose original scores for some of the most well-known entertainment properties in the world. Detailed personal accounts and instructive side bars carry readers across the jagged peaks and valleys of an absolutely achievable career in video games. World-famous IP's get personal treatment here - The Lord of the Rings, Marvel, Avatar, Dungeons & Dragons, Warhammer, DOTA 2, King Kong, The Settlers, and many more.Readers will discover unvarnished true stories about starting out, pitching and pursuing gigs, negotiating contracts, composing and producing scores, multinational corporations and personalities, funny anecdotes, daunting challenges, glorious successes, and instructive failures. Autobiographical details throughout provide intimate perspective, vibrant color, and inspiration. The book is written in a comfortable, conversational style.Think of this as a career guidebook wrapped around a personal retrospective; a professional how-to manual woven into a memoir.

Clifford algebra for dual quaternions has emerged recently as an alternative to standard matrix algebra as a computational framework for computer graphics. This book presents dual quaternions and their associated Clifford algebras in a new light, accessible to and geared toward the computer graphics community.Collecting all the associated formulas and theorems in one place, this book provides an extensive and rigorous treatment of dual quaternions, as well as showing how two models of Clifford algebra emerge naturally from the theory of dual quaternions. Each section comes complete with a set of exercises to help readers sharpen and practice their understanding.This book is accessible to anyone with a basic knowledge of quaternion algebra and is of particular use to forward-thinking members of the computer graphics community.

The book highlights mechanical, thermal, electrical, and magnetic properties, and characterization of additive manufactured products in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, and materials science.This text Explains mechanical properties like hardness, tensile strength, impact strength, and flexural strength of additive manufactured components Discusses characterization of components fabricated by different additive manufacturing processes including fusion deposition modeling, and selective laser sintering Highlights corrosion behavior of additive manufactured polymers, metals, and composites Covers thermal, electrical, and magnetic properties of additively manufactured materials Illustrates intrinsic features and their Influence on mechanical properties of additive manufactured products This text discusses properties, wear behavior and characterization of components produced by additive manufacturing technology. These products find applications in diverse fields including design, manufacturing and tooling, aerospace, automotive industry, and biomedical industry. It will further help the readers in understanding the parameters that influence the mechanical behavior and characterization of components manufactured by additive manufacturing processes. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, automotive engineering, aerospace engineering, and materials science.

This book covers polymer 3D printing through basics of technique and its implementation. It begins with the discussion on fundamentals of new-age printing, know-how of technology, methodology of printing, and product design perspectives. It includes aspects of CAD along with uses of Slicer software, image analysis software and MATLAB(R) programming in 3D printing of polymers. It covers choice of polymers for printing subject to their structure-property relationship, troubleshooting during printing, and possible uses of waste plastics and other waste materials.　　 Key Features　 Explores polymeric material printing and design. Provides information on the potential for the transformation and manufacturing, reuse and recycling of polymeric material. Includes comparison of 3D printing and injection moulding. Discusses CAD design and pertinent scaling-up process related to polymers. Offers basic strategies for improvement and troubleshooting of 3D printing. This book is aimed at professionals and graduate students in polymer and mechanical engineering and materials science and engineering.

It is assumed that the impact of natural and man-made hazards on society in terms of damage cannot be avoided. To reduce potential disaster levels and to assess which policies have had a positive outcome, a careful comparison should take place on the procedures implemented in the management of crises. The experiences with the earthquakes in the Pianura Padana area and central regions of Italy in the last ten years have been incorporated in the 'After the Damages' advanced training project. This project aims to showcase recent innovations and advancements in post-disaster management, so as to take a more proactive role in post-disaster management, and to respond more effectively when disasters occur. This volume provides insights into the dynamics and negative effects of natural and man-made hazards (i.e., earthquakes, fires, floods, droughts, volcanic eruptions, etc.), including more updated approaches to deal with post-disaster phases. The book also offers tools to deal with possible international crisis scenarios and mitigate the social impact of vulnerabilities through risk reduction. Built Heritage in post-Disaster Scenarios aims at public administration managers, government agency representatives, international organizations, researchers, and professionals in architecture, engineering, and earth science. Marcello Balzani, Architect, PhD in "Representation and Survey", Full Professor of Representation at the Department of Architecture, University of Ferrara. President of Clust-ER Building and Construction. He is author of more than 200 publications on the themes of Drawing and Architectural and Urban Surveying, Project Representation, Management and Visualisation. Federica Maietti, Architect, PhD, Associate Professor in the Scientific Sector ICAR/17 at the Department of Architecture, University of Ferrara. Member of the DIAPReM Centre, since 2005 she carries out research activities in the fields of heritage documentation, survey and diagnostic investigations, in different national and international contexts, including Pompeii, Malta, Brazil, India, and Mexico. Scientific Manager of the International Academy "After the Damages", she is involved in several research activities and she is the author of more than two hundred publications in the field of Heritage Documentation, Survey and Representation. Manlio Montuori, Architect, PhD, former assistant professor non-tenured at the University of Ferrara, Department of Architecture, where he is a member of the Labo.R.A. The main field of his research is the conservation of architectural heritage and landscape, with special emphasis on preservation procedures for traditional and industrial built heritage. His research interests also address assessment and management in the context of damage and disaster risk reduction. Scientific Manager of the International Academy "After the Damages", he is involved in several research projects implementing ICT technologies in the conservation and structural health assessment of built and cultural heritage. Fabiana Raco, Architect, PhD RTDa Researcher of Drawing at the Department of Architecture, University of Ferrara. Technical coordinator of TekneHub Laboratory. Author of more than 50 publications on the topics of Drawing, Architectural and Urban Surveying, Representation, Diagnostics, Visualization and Project Management of interventions on built heritage.

This book covers environmental and economic waste treatment with resource recovery strategies covering mining, urban, agricultural, industrial, and sewage wastes. It further includes waste management, life-cycle assessment, recycling, and recovering valuable materials from blast furnace slags, iron ore, coal, and bauxite mining. Wastewater recycling, reuse, treatment methods, and economic gain through nanotechnology are covered, along with biochemical study cycles in mining waste and tailing, landfill stabilization, energy, and nutrient recovery from household, urban, and hazardous waste.Features: Includes details on the generation and composition of hazardous wastes. Focuses on practices in waste management followed in developing countries. Illustrates concept of energy and resource recovery. Explains ethical, innovative management strategies dealing with solid, biomedical, and chemical wastes. Discusses sustainable nanotechnology and engineered materials for treatment of biological and chemical pollutants in wastewater. This book is aimed at researchers and graduate students in environmental engineering and management.

The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

This book describes development of bioceramics and biocomposites, which are used in bone tissue repair, remodelling, and regeneration. It covers the fundamental aspects of materials science and bioengineering, clinical performance in a variety of applications, ISO/ASTM specifications, and opportunities and challenges.

Induction Machines Handbook: Steady State Modeling and Performance offers a thorough treatment of steady-state induction machines (IM), the most used electric motor (generator) in rather constant or variable speed drives, forever lower energy consumption and higher productivity in basically all industries, from home appliances, through robotics to e-transport and wind energy conversion.Chapter 1 offers a detailed introduction from fundamental principles to topological classifications and most important applications and power ranges from tens of W to tens of MW.Then individual Chapters 2 and 4 deal in detail with specific issues, such asMagnetic, electric, and insulation materialsElectric windings and their mmfMagnetization curve and inductanceLeakage inductances and resistancesSteady-state equivalent circuit and performanceStarting and speed control methodsSkin and on-load saturation effectsField harmonics, parasitic torques, radial forces, noiseLossesThermal modelingSingle-phase induction machine basicsSingle-phase induction motors: steady-state modeling and performanceFully revised and updated to reflect the last decade's progress in the field, this third edition adds new sections, such asMultiphase and multilayer tooth-wound coil windingsThe brushless doubly fed induction machine (BDFIM)Equivalent circuits for BDFIMControl principles for doubly fed IMMagnetic saturation effects on current and torque versus slip curvesRotor leakage reactance saturationClosed-slot IM saturationThe origin of electromagnetic vibration by practical experiencePM-assisted split-phase cage-rotor IM's steady stateThe promise of renewable (hydro and wind) energy via cage-rotor and doubly fed variable speed generators e-transport propulsion and i-home appliances makes this third edition a state-of-the-art tool, conceived with numerous case studies and timely for both academia and industry.

This book initiates with a general introduction to microalgae and algal biotechnology with subsequent discussions on all the significant aspects of applied biotechnology, bio-remediation, nano applications, multidimensional usages of algae as a biofertilizer, and a source of bioactive compounds and phytochemicals. Major themes of the book include algae and the environment, bio-remediation using algae, algal-omics and applications, and large-scale bioprocesses for algal cultivation, its constraints and challenges. Features: Focusses on the importance of algae for a sustainable environment. Covers algal bioplastics and other commercial products. Explores possible utilization of algae in phyco/bioremediation. Reviews algae as a biostimulant and biofertilizer. Demonstrates challenges during algal cultivation on a large scale. This book is aimed at graduate students and researchers in biotechnology, bioenergy, renewable energy, energy, fuel and petrochemicals, wastewater, novel technologies, clean technologies, bioremediation environmental, functional foods and nutraceuticals, marine and aquatic science.

Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and various types of trolling becoming increasingly prevalent worldwide.Addressing the issue of cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context, artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of cyberbullying on the Internet and social networks. This book presents the latest cutting-edge research, theoretical methods, and novel applications in AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (NLP)-based cyberbullying research efforts.Key Features: Proposes new models, practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms. Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence. Includes many case studies and applications of machine intelligence for combating cyberbullying.

Data Structures is a central module in the curriculum of almost every Computer Science programme. This book explains different concepts of data structures using C. The topics discuss the theoretical basis of data structures as well as their applied aspects.

The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand. Machine Learning, Animated eases you into basic ML concepts and summarizes the learning process in three words: initialize, adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting each step, to the final converged parameters and predictions.This book teaches readers to create their own neural networks with dense and convolutional layers, and use them to make binary and multi-category classifications. Readers will learn how to build deep learning game strategies and combine this with reinforcement learning, witnessing AI achieve super-human performance in Atari games such as Breakout, Space Invaders, Seaquest and Beam Rider.Written in a clear and concise style, illustrated with animations and images, this book is particularly appealing to readers with no background in computer science, mathematics or statistics.Access the book's repository at: https: //github.com/markhliu/MLA

The emergence and application of stainless steel wires-engineered multifunctional ultra-high performance concrete advances the safety, durability, function/intelligence, resilience, and sustainability of infrastructure, thus prolonging the service life and reducing the maintenance to lower the lifecycle cost of infrastructure. This is the first reference work on this multifunctional concrete, which combines high performance with functional/ smart properties, such as thermal, electrical, self-sensing, and electromagnetic properties, as well as a sustainable profile. The book delivers both fundamentals and applications about multifunctional concrete, covering basic principles, properties, mechanisms, engineering application cases, and future development challenges and strategies. Stainless Steel Wires-Engineered Multifunctional Ultra-High Performance Concrete opens up a new horizon for researchers and specialist technologists in the field of concrete materials and structures.

Photovoltaic Systems Engineering for Students and Professionals: Solved Examples and Applications examines photovoltaic (PV) power plants in a holistic way. PV installations of all types and sizes - from the smallest plant element to the largest system components - are approached from an electrical engineering perspective and further explained through worked examples. It presents the different forms of energy and the energy conversions between them in a clear and understandable way. This book is an essential resource for both students and practicing engineers working in the solar photovoltaic areas and critical work for all electrical engineers. Features: Includes over 100 worked examples and more than 80 end-of-chapter problems Presents systematic techniques and approaches to problem solving Includes PowerPoint presentations and a solutions manual for instructors Considers the effects of environmental conditions on the performance of PV systems Presents step-by-step design of photovoltaic systems of all sizes from scratch

This reference text covers a wide spectrum for designing robust embedded memory and peripheral circuitry. It will serve as a useful text for senior undergraduate and graduate students and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. Discusses low-power design methodologies for static random-access memory (SRAM) Covers radiation-hardened SRAM design for aerospace applications Focuses on various reliability issues that are faced by submicron technologies Exhibits more stable memory topologies Nanoscale technologies unveiled significant challenges to the design of energy- efficient and reliable SRAMs. This reference text investigates the impact of process variation, leakage, aging, soft errors and related reliability issues in embedded memory and periphery circuitry.The text adopts a unique way to explain the SRAM bitcell, array design, and analysis of its design parameters to meet the sub-nano-regime challenges for complementary metal-oxide semiconductor devices. It comprehensively covers low- power-design methodologies for SRAM, exhibits more stable memory topologies, and radiation-hardened SRAM design for aerospace applications. Every chapter includes a glossary, highlights, a question bank, and problems. The text will serve as a useful text for senior undergraduate students, graduate students, and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. Discussing comprehensive studies of variability-induced failure mechanism in sense amplifiers and power, delay, and read yield trade-offs, this reference text will serve as a useful text for senior undergraduate, graduate students, and professionals in areas including electronics and communications engineering, electrical engineering, mechanical engineering, and aerospace engineering. It covers the development of robust SRAMs, well suited for low-power multi-core processors for wireless sensors node, battery-operated portable devices, personal health care assistants, and smart Internet of Things applications.

Amazon Web Services (AWS) provides on-demand cloud computing platforms and application programming interfaces (APIs) to individuals, companies, and governments, along with distributed computing processing capacity and software tools via AWS server farms. This text presents a hands-on approach for beginners to get started with amazon web services (AWS) in a simple way. Key features: Discusses topics such as amazon elastic cloud compute, elastic load balancing, auto-scaling group, and amazon simple storage service. Showcases amazon web services identity, access management resources, and attribute-based access control. Covers serverless computing services, virtual private cloud, amazon aurora, and amazon comprehend. Explains amazon web services free tier, amazon web services marketplace, and amazon elastic container service. Includes security in amazon web services, shared responsibility model, and high-performance computing on amazon web services. The text is primarily written for graduate students, professionals, and academic researchers working in the fields of computer science and engineering, and information technology.

The series of International Symposiums on Mining with Backfill explores both the theoretical and practical aspects of the application of mine fill, with many case studies from both underground and open-pit mines. Minefill attendees and the Proceedings book audience include mining practitioners, engineering students, operating and regulatory professionals, consultants, academics, researchers, and interested individuals and groups.The papers presented at Minefill symposiums regularly offer the novelties and most modern technical solutions in technology, equipment, and research. In that way, the papers submitted for the Minefill Symposia represent the highest quality and level in the conference domain. For the 2020-2021 edition organizers hope that the papers presented in this publication will also be received with interest by readers around the world, providing inspiration and valuable examples for industry and R&D research.

The book provides knowledge in the Building Information Model (BIM)-enabled cognitive computing methods for smart built environment involving cognitive network capabilities for smart buildings, integrating Augmented Reality/Mixed Reality in cognitive building concepts, cognitive Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data and machine learning. It focuses on the potential, requirements and implementation of CIoT paradigm to buildings, Artificial Intelligence techniques, reasoning, and Augmented Reality/Mixed Reality in cognitive building concepts, the concept of cognitive smart cities in its complexity, heterogeneity, and scope, and the challenge of utilizing the big data generated by smart cities from a machine learning perspective. The book comprises BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as complex and dynamic systems. It presents applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the motivating physical and informational settings. It reviews ongoing development of BIM-based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to cognitive systems that will advance different aspects of future cognitive cities. The book also analyses the required material to inform pertinent research communities of the state-of-the-art research and the latest development in the area of cognitive smart cities development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of CIoT based on big data analytics and context-aware computing.

Empowering Behavior Change in Patients: Practical Strategies for the Healthcare Professional reviews medical research and pairs it with behavior change theories to create counseling strategies and tools that equip the reader to empower others to adopt and sustain change. With contributions by leading physicians, PhDs, health coaches and other experts in behavior change, the book presents a variety of perspectives, backgrounds and educational experiences encouraging readers to alter their counseling practices to include more behavior change and coaching strategies.Features Guidance from renowned behavior change experts as well as medical students and healthcare professional students in training to create a unique mix of well-established theories and practices, review articles and research, and tools and strategies, in addition to perspectives on change to use when counseling individuals with chronic conditions and those looking to prevent disease. Presents healthcare providers with tools to be empowering messengers by relaying this information to patients in relatable, inspiring ways. Features successful case studies throughout and provides examples of language to use when counseling individuals. Provides cutting-edge examples of the effectiveness of group visits to help create sustainable change which is a healthcare trend that is up and coming. Shares concrete strategies to help readers move forward in their own behavior change journeys as well as help others, either patients, colleagues, or loved ones to make strides toward optimal health and well-being. Implements lifestyle medicine concepts and principles. Each chapter includes a summary and takeaway points for the reader. A volume in the Lifestyle Medicine series, this book is for those in healthcare looking to empower people to adopt and sustain healthy lifestyles based on the six pillars of lifestyle medicine, including routine physical activity, nutritious eating patterns, sound sleep, positive social connections, stress resilience, and avoidance of risky substances. This book is a solid resource for information on behavior change in healthcare benefiting not only the healthcare industry and students, but also parents, teachers, and anyone who cares for an individual with a chronic condition such as diabetes, heart disease, hypertension, or obesity, and for those looking to prevent the onset of disease.

Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions.The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection.Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development.Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis.　 At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies.

Computational Intelligence in Urban Infrastructure consolidates experiences and research results in computational intelligence and its applications in urban infrastructure. It discusses various techniques and application areas of smart urban infrastructure including topics related to smart city management. Major topics covered include smart home automation, intelligent lighting, smart human care services, intelligent transportation systems, ontologies in urban development domain, and intelligent monitoring, control, and security of critical infrastructure systems supported by case studies.Features: Covers application of AI and computational intelligence techniques in urban infrastructure planning Discusses characteristics and features of smart urban management Explores relationship between smart home and smart city management Deliberates various smart home techniques Includes different case studies for supporting and analyzing various aspects of smart urban infrastructure management This book is aimed at researchers, graduate students, libraries in communication networks, urban and town planning, and civil engineering.

Handbook of Post-Processing in Additive Manufacturing is a key resource on postprocessing treatments available for additive manufactured products. It provides broad coverage of the theory behind emerging technology, material development, functional characterization, and technical details required to investigate novel applications and methods and put them to use.The handbook presents experimental breakthroughs of novel methodologies that treat additively manufactured parts, which are suitable for demanding engineering applications. This handbook emphasizes the various types of post-processing technologies that can effectively eliminate the inferiorities of additively manufactured components. It also provides a collection of key principles, literature, methodologies, experimental results, case studies, and theoretical aspects of the different types of postprocessing techniques, along with different classes of materials and end-applications.This book is an ideal reference for libraries and post-graduate courses as well as the professional market, including, but not limited to manufacturing, mechanical and industrial engineering, and materials science.

The Handbook of Software for Engineers and Scientists is a single-volume, ready reference for the practicing engineer and scientist in industry, government, and academia as well as the novice computer user. It provides the most up-to-date information in a variety of areas such as common platforms and operating systems, applications programs, networking, and many other problem-solving tools necessary to effectively use computers on a daily basis. Specific platforms and environments thoroughly discussed include MS-DOS(R), Microsoft(R) Windows(TM), the Macintosh(R) and its various systems, UNIX(TM), DEC VAX(TM), IBM(R) mainframes, OS/2(R), Windows(TM) NT, and NeXTSTEP(TM). Word processing, desktop publishing, spreadsheets, databases, integrated packages, computer presentation systems, groupware, and a number of useful utilities are also covered. Several extensive sections in the book are devoted to mathematical and statistical software. Information is provided on circuits and control simulation programs, finite element tools, and solid modeling tools. Additional coverage is included on data communications and networking. Many appendices at the end of the book provide useful supplemental information, such as ASCII codes, RS-232 parallel port and pinout information, and ANSI escape sequences.This valuable resource handbook brings together a wide variety of topics and offers a wealth of information at the reader's fingertips.

The scientific and technological advances that influence the protection of cultural heritage are developing at an ever-increasing pace. Systems to explore, research and analyse their materiality, to control the different scopes, or to represent and model them have reached an unprecedented dimension in recent decades. The Network of Science and Technology for the Conservation of Cultural Heritage aims to promote collaboration between the agents of these systems, in order to facilitate the sharing of experiences and to foster technology transfer, with the common goal of contributing to the conservation of Cultural Heritage.In the context of the TechnoHeritage Network, the fourth edition of the International Congress on Science and Technology for the Conservation of Cultural Heritage was held March 26-30, 2019, in Seville, Spain. This Congress was an international meeting of researchers and specialists from multiple areas, whose line of work is the knowledge and conservation of Cultural Heritage. Among all the topics discussed, the role and impact of digital technologies for the knowledge, maintenance, management and dissemination of cultural heritage should be highlighted. Digital media modify the way of understanding this heritage, of perceiving it and transmitting it, and offer a new horizon of strategies to make decision-making more sustainable over time.