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This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. There are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.
Situation Assessment in Aviation new aspects of soft computing technologies for evaluation and assessment of situations in aviation scenarios. It considers using technologies, emerging from: multisensory data fusion (MSDF), Bayesian networks (BN), and fuzzy logic (FL), to assist pilots in their decision making.
Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on. This book shows how we can use safety data in a forward-looking, predictive sense.Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks. It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations. The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation. Emphasis is placed on how the book can "meet you where you are" by illuminating a path to get there, starting with simple data the organization likely already has. Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations.This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers. Students taking courses in these areas will also find this book of interest to them.
Through a combination of theory, practice, and a wide range of case studies, this book expands how we define and think about the critical role and relationship between design and emergencies.
Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it's working.Describes brain modeling and all possible machine learning methods and their uses.Augments the use of data mining and machine learning to brain computer interface (BCI) devices.Includes case studies and actual simulation examples.This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.
Dieses Buch wendet künstliche Intelligenz auf die schlanke Produktion an und zeigt, wie sich die Vorteile dieser beiden Disziplinen praktisch kombinieren lassen. Die schlanke Produktion hat ihren Ursprung in Japan und ist ein bekanntes Instrument zur Verbesserung der Wettbewerbsfähigkeit der Hersteller. Zu den gängigen Werkzeugen der schlanken Produktion gehören Kanban, Pacemaker, Wertstromkarte, 5s, Just-in-Time und Pull Manufacturing. Lean Manufacturing und das Toyota-Produktionssystem wurden in verschiedenen Fabriken und Lieferketten auf der ganzen Welt erfolgreich eingesetzt. Ein schlankes Fertigungssystem kann nicht nur Verschwendung und Lagerbestände reduzieren, sondern auch unmittelbarer auf Kundenbedürfnisse reagieren. Künstliche Intelligenz ist ein Thema, das in letzter Zeit viel Aufmerksamkeit auf sich gezogen hat. Viele Forscher und praktische Entwickler arbeiten hart daran, künstliche Intelligenz in unserem täglichen Leben anzuwenden, auch in Fabriken. So wurden beispielsweise Fuzzy-Regeln zur Optimierung von Maschineneinstellungen entwickelt. Es wurden bionische Algorithmen vorgeschlagen, um Probleme bei der Produktionsreihenfolge und -planung zu lösen. Technologien des maschinellen Lernens werden eingesetzt, um mögliche Probleme mit der Produktqualität zu erkennen und den Zustand einer Maschine zu diagnostizieren. Dieses Buch ist für Produktionsingenieure, Manager sowie für Studenten und Forscher im Bereich der Fertigungstechnik von Interesse.
This book shows readers a new way of thinking about the engineering design process, as well as how to expand their understanding of the role of technical designers in society, whether working with international communities or user populations from their own hometown. As readers build an understanding of Contextual Engineering, this book will challenge them to think about the applicability of the concept more broadly, not only in terms of technical design but in personal and professional interactions with others as well. At the same time, readers will learn techniques to explore their own predispositions and the biases they may not be aware they have, equipping them to interact with others more impartially. This self-reflection process also assists the designer in working with and accepting the uncertainty that is inherent in exploring context.
This book includes state-of-the-art and original research contributions from two well-established conferences, which collectively focus on the joint design, development, and management of products, advanced production systems, and business for sustainable customization and personalization. The book includes wide range of topics within these subjects, ranging from industrial success factors to original contributions within the field. The authors represent worldwide leading research institutions.
The book presents the latest developments and new directions in advanced control systems, as well as new theoretical discoveries, industrial applications, and case studies of complex engineering systems and materials science. The technological breakthrough at this stage is associated with digital transformation. It is assumed that innovations from different industries interact in a complex way. At the same time, fundamental research and its industrial implementation underlie the developed products and technologies and are aimed at improving modern technological processes and achievements. However, digital transformation not only opens up new opportunities, but also creates additional risks. The authors thank the Springer Nature team for cooperation.
This book highlights recent findings in industrial, manufacturing and mechanical engineering and provides an overview of the state of the art in these fields, mainly in Russia and Eastern Europe. A broad range of topics and issues in modern engineering is discussed, including the machinery and mechanism design, dynamics of machines and working processes, friction, wear and lubrication in machines, design and manufacturing engineering of industrial facilities, transport and technological machines, mechanical treatment of materials, industrial hydraulic systems. This book gathers selected papers presented at the 9th International Conference on Industrial Engineering (ICIE), held in Sochi, Russia, in May 2023. The authors are experts in various fields of engineering, and all papers have been carefully reviewed. Given its scope, this book will be of interest to a wide readership, including mechanical and production engineers, lecturers in engineering disciplines, and engineering graduates.
Ziel dieses Handbuchs ist die Vermittlung von nutzbringenden Kenntnissen, Fähigkeiten und Verhaltensweisen, die ein in der Produktentwicklung/Projektleitung verantwortlich tätiger Ingenieur vielfach braucht, die aber in der üblichen Ingenieurausbildung zu wenig Beachtung finden. Sie greifen über das Fachwissen hinaus in den menschlichen Bereich hinein, weil technischen und/oder organisatorischen Schwierigkeiten faktisch immer menschliche Probleme zugrunde liegen.
This book is an extensive and detailed guide to the subject of materials ageing in light-water nuclear reactors. Proper management of materials degradation is essential for the safe, reliable, and economic operation of nuclear power plants across the globe. This handbook features a stunning and thorough observational treatment of the key materials degradational phenomena in light-water reactors, capturing the results of some typical destructive examinations that have been carried out to understand and furthermore mitigate these failures. It provides a comprehensive collection of unique photographs, detailed schematics, concise analyses, as well as precise measurements and expert recommendations. It is organized in such a manner that engineers and scientists can use the observations presented to not only arrive at their own conclusions but also subsequently improve their knowledge of specific materials ageing issues.This handbook is supported by the Materials Ageing Institute (MAI) and Electricite de France (EDF) and is an extensive update to the previous edition, featuring up-to-minute information to reflect the state of the art as of 2020. Since its founding in 2008, the MAI has succeeded in expanding its membership and today represents two-thirds of the world's installed nuclear power capacity, benefiting from nearly 5,000 years of combined experience in reactor operation. The vast archive of past observational data and world-leading expert recommendations presented in this handbook leverage the unique expertise of the MAI in studying the key degradation phenomena of materials to ensure the secure and sustainable operation of carbon-free electricity production. It is a must-have on the desks of any engineers or researchers involved in ageing management for light-water reactors.
Kreativität und Kreativitätstechniken sind seit Jahrzehnten vielgenutzte Schlagworte. Was verbirgt sich dahinter, was ist für den beruflichen Alltag nützlich? Und wo sind die Grenzen? Vermittelt werden die wesentlichen Grundlagen für eine eigenständige Suche nach neuen Denkansätzen.
This book reports on advances in human modeling techniques, covering cutting-edge algorithms and their practical implementation in health and medicine, automotive, clothing, virtual reality simulations, robotics, and assistive technologies. Gathering the proceedings of the 8th International Digital Human Modeling Symposium, held on September 4-6, 2023, in Antwerp, Belgium, it offers a timely snapshot on interdisciplinary, applied research, at the interface between computer science, ergonomics, engineering, design, health and technologies.
This is the latest volume in the series of Springer titles on emotional engineering tracking the development of this field.Engineering has been based on the Euclidean space approach and it was numerical data-centric. In short, our engineering up to now has been control-based, i.e., on tactics and problem solving. When we realize AI consumes 10,000 times more energy than human brain, we understand how it is better to use 10,000 people's minds. But current society is industrial society. The industrial revolution introduced division of labour and we started to work for others. But the tremendous consumption of energy indicates that we need to move toward another society. If we can make the next society a self-Satisfying society (SSS) and create a new sustainable society with greater mental wellbeing then many emerging problems will be solved and we can enjoy our lives better. Emotional engineering engages with this challenge.
Viele Innovationstechniken berücksichtigen den schöpferisch-analytischen Teil des Problem-Bearbeitungs-Prozesses, vor allem bei der Problemerkennung und Präzisierung der Aufgabenstellung, nicht hinreichend. Der ganzheitliche, kreative, methodisch und systematisch unterstützte Problem-Bearbeitungs-Prozess hat jedoch eine sehr große Bedeutung für den Erfolg des Innovationsprozesses. Er fördert nicht nur die Innovations-Qualität (Neuheit, Attraktivität), sondern auch nachhaltig die Effizienz der Prozesse.In diesem Heft werden die Erkenntnisse, Ergebnisse und Erfahrungen zu den allgemeingültigen methodischen und systemwissenschaftlichen Grundlagen für eine kreative methodisch-systematische Denk- und Arbeitsweise für den innovativen Problem-Bearbeitungs-Prozess aus eigener Tätigkeit und den vielfältigen Arbeiten der Fachwelt mit systemwissenschaftlicher Herangehensweise aufbereitet.
This book introduces and provides a detailed understanding of on- and off-road vehicle dynamics. It discusses classical on-road tyre mechanics, including finite element tyre modelling and validation, using a combination of theoretical and experimental data sets. Chapters explore new computational techniques that describe terrain models and combined to develop better off-road vehicle models, and focus is placed on terrain characterization and modelling, using two popular modelling techniques, as well as performance characteristics of off-road vehicles - including rolling and driven combinations, traction, and steering. The effect of multi-pass and soil compaction on tyre performance is described as well.The book presents a unique neuro-tyre model for both on-road and off-road situations, capable of computing the steering, braking characteristics, and soil compaction. Road vehicle characteristics are described, including the stability and control, roll centre and roll axis, androllover mechanics. The road vehicle braking performance is also described, including the brake components, choice of brake, and the transient load transfer. Finally, the dynamics and control of multi-wheel combat vehicles are presented and described extensively.The book is dedicated to undergraduate and graduate engineering students, in addition to researchers, and the automotive industry. As well as provide the readers with a better understanding of vehicle dynamics and soil mechanics. The book is also beneficial for automotive industries looking for a quick and reliable model to be implemented in their main software.
How long have composites been around? Where does the classical laminate theory come from? Who made the first modern fiber composite? This work in the history of materials science is the first examination of the strategies employed in the nineteenth and twentieth centuries in researching and developing hybrid materials. The author analyzes numerous sources which record a regular back and forth between applied design and exploratory materials engineering in building such ¿modular materials¿. The motivations, ideas, and concepts of engineers, scientists, and other players in industry and research are also examined within the context of their day. This book presents the development and importance of composite materials within historical context.The content includesEarly composite materialsThe development of composite materials in the industrial nineteenth centuryComposites in twentieth-century polymer chemistryThe development of hybrid material systems in the second half of the twentieth centurySummary.The author:Dr. Andreas T. Haka is an engineer and historian of science and technology. He is currently a lecturer in the Section for the History of Science and Technology at the University of Stuttgart. His main focus is on the history and practice of materials research, raw materials, materials science and technological constructive design, scientific networks, and research technologies.
This book discusses innovation and invention. It introduces innovation, the innovation eco-system needed in company to succeed in innovation, the need for innovation and its timing with respect to the product life cycle. It shows how to develop innovation strategy and get ready for product development, the management of innovation processes from the concept phase to commercialization and supplies practical tools and techniques for achieving success in complex, fast-track technology development projects.In today¿s world of fast-paced innovation from all corners of the world, technology is getting obsolete much faster than it was 50 years ago. In order to match the fast-evolving market demand and evolution of technology, one needs to innovate much faster. The whole process of developing technology/product/services from concept phase to prototyping to series production and commercialization has to happen in a very structured way so that the process is not only fast-track and lean but also very efficient. The methodology presented in the book has been applied in many real-life projects. The book will be of interest to professionals in business and technology as well as students.
The management of maintenance processes and their integration with production processes is one of the significant challenges faced by industries today. It is known that maintenance must be carried out to guarantee the quality and continuity of production processes. Thus, manufacturing routines, production bottlenecks, and the criticality of each component or subsystem in the overall process should be considered not only by production management but also (and increasingly) by maintenance management. The latter should consider repair (or replacement) costs and miscellaneous expenses, plan to work on maintenance effectively, reduce repair times, and establish clear repair procedures and instructions. Maintenance process management can be deployed in several ways and following several strategies depending on the type of industry, its size, and the criticality of its processes. However, even being a unique company, it is always possible to take advantage of the experiences of other industries and their implementations. The advent of new technologies (such as automation, the Internet of Things, and cloud computing), along with new statistical and artificial intelligence techniques, has created an environment referred to as Industry 4.0, of which maintenance management systems are a part. This book presents aspects of predictive maintenance in industries and shows the possibility of reaching the creation of prognostic maintenance. It offers techniques for managing maintenance processes theoretically and practically as examples of possible industrial implementations.
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