Books published by Springer

This textbook is a complete, self-sufficient, self-study/tutorial-type source of mathematical problems. It serves as a primary source for practicing and developing mathematical skills and techniques that will be essential in future studies and engineering practice. Rigor and mathematical formalism is drastically reduced, while the main focus is on developing practical skills and techniques for solving mathematical problems, given in forms typically found in engineering and science. These practical techniques cover the subjects of algebra, complex algebra, linear algebra, and calculus of single and multiple argument functions. In addition, the second part of the book covers problems on Convolution and Fourier integrals/sums of typical functions used in signal processing.Offers a large collection of progressively more sophisticated mathematical problems on main mathematical topics required for engineers/scientists;Provides, at the beginning of each topic, a brief review of definitions and formulas that are about to be used and practiced in the following problems;Includes tutorial-style, complete solutions, to all problems.

1 Aufbau, Eigenschaften und Herstellung der Werkstoffe der Konstruktionskeramik.- 2 Bewertung der Bauteile hinsichtlich Festigkeit, Lebensdauer und Zuverlässigkeit.- 3 Konstruktion mit keramischen Werkstoffen.- 4 Bearbeitung keramischer Werkstoffe.- 5 Verbindungstechnik von Konstruktionskeramik.- 6 Keramische Schichten.- 7 Prüfung der Konstruktionskeramik.- 8 Tribologisches Verhalten von Konstruktionskeramik.- 9 Literaturverzeichnis.- 10 Autorenkollektiv.- 11 Sachwortverzeichnis.

This book presents the proceedings of the 7th conference Healthcare Systems Ergonomics and Patient Safety (HEPS), held in Delft, The Netherlands on November 2-4, 2022, which was endorsed by the International Ergonomics Association (IEA). Contributions focus on the integration of knowledge, methods, and expertise from the disciplines of Human Factors/Ergonomics and of Medicine and Health in order to contribute to a safe and humane, high-quality healthcare system. Through breaking down the barriers between disciplines, they foster a framework of scientific knowledge, expertise and best practices to create the future of health and healthcare. The proceedings include papers from researchers and practitioners, scientists and physicians, institutional leaders, managers and policy makers that contribute to constructing the Human Factors and Ergonomics approach across a variety of methodologies, domains and productive sectors.

1. Introduction (Historical Review).- 2. Melt Blowing Techniques.- 2.1 Main Technological Procedures.- 2.2 Modern Trends in Melt mowing Techniques.- 3. Equipment.- 3.1 Spray Heads.- 3.1.1 Basic Designs.- 3.1.2 Modified Heads.- 3.2 Auxiliary Equipment.- 4. Structure of Melt-Blown Polymer Fibrous Materials (PFM).- 4.1 Major Structural Parameters.- 4.2 Effect of Different Technological Regimes on PFM Structure.- 5. Specific Properties of Melt-Blown PFM.- 5.1 Physicochemical Characteristics.- 5.2 Electret Charge in Melt-Blown Materials.- 6. Fibrous Materials in Filtration Systems.- 6.1 Efficiency of Filtration Systems.- 6.2 Filtration Mechanisms.- 6.2.1 Mechanisms of Particle Precipitation.- 6.2.2 Surface and Depth Filtration.- 6.2.3 Electrostatic Precipitation.- 6.2.4 Precipitation and Coagulation in a Magnetic Field.- 7. Electret Filtering PFM.- 7.1 Mechanism of PFM Polarization.- 7.2 Capillary Phenomena.- 7.3 Production Process and Properties of Electret PFM.- 7.4 Applications.- 8. Magnetic Filtering PFM.- 8.1 Backgro.- 8.2 Simulation of Magnetic Deposition in PFM.- 8.3 Theory versus Experiment.- 8.4 Magnetization of PFM.- 8.5 Magnetic Coagulation of Particles in PFM.- 8.6 Magnetic Capillary Phenomena.- 8.7 Serviceability of Magnetic PFM-Based Filters.- 9. Adsorptive and Microbicidal PFM.- 9.1 PFM Modified by Porous Adsorbents.- 9.2 PFM as Adsorbents of Oil Product8.- 9.3 Complex-Forming PFM.- 9.4 Adsorptive-Microbicidal PFM.- 10. PFM as Carriers of Microorganisms.- 10.1 Biofilters with Polymer Fibrous Biomass Carriers.- 10.2 Effect of Magnetic Fields on the Growth Proce8ses of Microorganisms.- 11. Other Applications of PFM.- 11.1 Household Uses.- 11.2 Industry.- 11.3 Construction.- 11.4 Medicine.- 11.5 Packing.- 11.6 Protection of Products and Environment.- 12. Ecological and Social Problems.- 12.1 Solution of Ecological Problems.- 12.1.1 Purification of Indu8trial Gases.- 12.1.2 Wa8tewatcr Purification.- 12.1.3 Melioration.- 12.1.4 Oil and Chemical Sorbents.- 12.2 Regeneration, Utilization, and Burial.- 12.3 Economic Estimates.- 13. Conclusion.- References.

This book explores the theoretical background and provides an experimental analysis of using natural energy resources in sustainable building design. It brings together an international group of contributors focusing on ways natural energy, lighting, and ventilation can improve the performance of electrical, lighting, and mechanical systems. Contributions explore how natural resources can contribute to sustainable development goals while meeting energy demands and maintaining acceptable interior air quality and natural illumination needs. Coverage includes green building design, renewable energy integration, photovoltaic systems, small-scale wind turbines, natural lighting, and natural ventilation. Natural Energy, Lighting, and Ventilation in Sustainable Buildings offers practical and promising solutions for novel challenges in sustainable design for electrical engineers, energy engineers, architectural engineers, and related professionals, as well asresearchers and developers from engineering science.

This textbook is designed for a one-semester course on Food Engineering, and it offers a concise, in-depth and integrated introduction to the fundamental engineering and physicochemical principles and practices of utility in food processing and manufacturing operations. The textbook includes topics mandated by the Institute of Food Technologists for accreditation of Food Science curricula and helps prepare the students better for taking advance courses related to unit operations in food manufacturing. It is also relevant for Food Process Engineering courses, containing materials that most instructors can cover in three semester hours of instruction. In the first three chapters, readers will find an overview of the basic knowledge of physics and chemistry and an introduction to the engineering language needed to eliminate confusion going forward. In the following chapters, the author covers the main concepts of food thermodynamics, heat transfer-radiation in foodmaterials, mass transfer and fluid dynamics in food, along with real-life examples and exercises to help students relate better to the topics. The author also gives a brief introduction to the main mathematical and analytical concepts required in food engineering.This textbook equips readers to understand a diversity of food engineering related topics and each chapter is enriched with practical examples and Check Your Understanding sections, as well as several problems. The textbook is aimed at undergraduate food science students in their first required introductory food engineering course, but practitioners involved in designing, optimizing, and managing the processing of food products will also find it a useful account.

​The hands-on textbook covers both the theory and applications of data communications, the Internet, and network security technology, following the ACM guideline for courses in networking. The content is geared towards upper undergraduate and graduate students in information technology, communications engineering, and computer science. The book is divided into three sections: Data Communications, Internet Architecture, and Network Security. Topics covered include flow control and reliable transmission; modulation, DSL, cable modem, and FTTH; Ethernet and Fast Ethernet; gigabit and 10 gigabit Ethernet; and LAN interconnection devices, among others. The book also covers emerging topics such as IPv6 and software defined networks. The book is accompanied with a lab manual which uses Wireshark, Cisco Packet Tracer, and virtual machines to lead students through simulated labs.

This book provides a comprehensive overview of the latest trends and developments in AI and business innovation research. In today's rapidly changing business environment, artificial intelligence (AI) has become an essential tool for innovation and growth. From marketing and customer service to supply chain management and product development, AI is transforming the way businesses operate, allowing them to make better decisions and achieve their goals faster and more efficiently than ever before.However, the integration of AI into business operations is not without its challenges and risks. There are concerns about data privacy, cybersecurity, and the potential for AI to disrupt traditional industries and displace workers. As a result, it is essential for business leaders and researchers to understand both the potential and risks of AI, and how it can be effectively leveraged for business innovation.This book explores the potential benefits of AI for modern enterprises, including how it can be used to enhance customer service, optimize supply chain management, and improve decision-making in a range of business contexts. It also examines the role of AI in product development, marketing, and sales, and how it can be used to drive innovation and growth.The book also examines the risks and challenges associated with the integration of AI into business operations. It explores the ethical and legal implications of AI, including issues related to data privacy and security, bias in algorithms, and the impact of AI on employment and the labor market. It also examines the role of government and policymakers in regulating AI and managing the risks associated with its integration into business operations.Overall, this book provides a comprehensive and balanced perspective on the potential and risks of AI for modern enterprises.

1 Ziele und Gliederung der Arbeitsvorbereitung.- 1.1 Stllung der Arbeitsvorbereitung im Unternehmen.- 1.1.1 Prozeßkette Procluktentwicklung.- 1.1.2 Prozeßkette Auftragsabwicklung.- 1.2 Aufgaben der Arbeitsplanung.- 1.2.1 Arbeitsablaufplanung.- 1.2.2 Arbeitssystemplanung t1.- 2 Arbeitsablaufplanung.- 2.1 Aufgaben cler Arbeitsablaufplanung.- 2.2 Planungsvorbereitung.- 2.3 Stücklistenverarbeitung.- 2.3.1 Stücklistenarten.- 2.3.2 Stücklistenverarbeitung in der Arbeitsvorbereitung.- 2.4 ProzeßplanersteHung.- 2.4.1 Ausgangsteilbestimmung.- 2.4.2 Prozeßfolgeermittlung.- 2.4.3 Fertigungsmittelauswahl.- 2.4.4 Vorgabezeitermittlung.- 2.4.5 Informationswesen in cler Prozeßplanung.- 2.4.6 Fallbeispiel.- 2.5 Operationsplanung.- 2.6 Montageplanung.- 2.6.1 Ausprägungen der Montageablaufplanung.- 2.6.2 Hilfsmittel uncl Methoclen zur Montageablaufplanung.- 2.7 Prüfplanung.- 2.7.1 Zielsetzung und Arten cler Prüfplanung.- 2.7.2 Durchführung der Prüfplanung.- 2.7.3 Dokumente der Prüfplanung.- 2.8 Fertigungs- und Prüfmittelplanung.- 2.8.1 Werkzeugplanung.- 2.8.2 Vorrichtungsplanung.- 2.8.3 Prüfmittelplanung.- 2.9 NC-/ RC-Programmierung.- 2.9.1 Grundlagen.- 2.9.2 NC-Programmerstellung.- 2.9.3 MC/RC-Programmerstellung.- 2.10 Kostenplanung/Kalkulation.- 2.10.1 Ziele, Aufgaben und Einordnung.- 2.10.2 Kalkulationsverfahren für den wirtschaftlichen Verfahrensvergleicht.- 2.10.3 Make-or-buy Entscheidungen.- 3 Arbeitssystemplanung.- 3.1 Aufgaben der Arbeitssystemplanung.- 3.2 Fertigungsmittelplanung.- 3.2.1 Auswahl der Bearbeitungsmaschinen.- 3.2.2 Planung der Anordnungsstruktur.- 3.3 Lager- und Transportplanung.- 3.4 Personalplanung.- 3.5 Flächenplanung.- 3.6 Investitionsrechnung.- 3.6.1 Statische Verfahren.- 3.6.2 Dynamische Verfahren.- 4 Arbeitssteuerung.- 4.1 Aufgaben der Arbeitssteuerung.- 4.2 Produktionsprogrammplanung.- 4.2.1 Absatzplanung.- 4.2.2 Bestandsplanung.- 4.2.3 Primärbedarfsplanung.- 4.2.4 Ressourcengrobplanung (auftragsanonym).- 4.3 Produktionsbedarfsplanung.- 4.3.1 Bruttosekundärbedarfsermittlung.- 4.3.2 Nettosekundärbedarfsermittlung.- 4.3.3 Beschaffungsartzuordnung.- 4.3.4 Durchlaufterminierung.- 4.3.5 Kapazitätsbedarfsermittlung.- 4.3.6 Kapazitätsabstimmung.- 4.4 Eigenfertigungsplanung und -steuerung.- 4.4.1 Losgrößenrechnung.- 4.4.2 Feinterminierung.- 4.4.3 Ressourcenfeinplanung.- 4.4.4 Reihenfolgeplanung.- 4.4.5 Verfügbarkeitsprüfung.- 4.4.6 Auftragsfreigabe.- 4.4.7 Auftragsüberwachung.- 4.4.8 Ressourcenüberwachung.- 4.5 Fremdbezugsplanung und -steuerung.- 4.5.1 Bestellrechnung.- 4.5.2 Angebotseinholung/-bewertung.- 4.5.3 Lieferantenauswahl.- 4.5.4 Bestellfreigabe und Bestellöberwachung.- 4.6 Auftragskoordination.- 4.6.1 Angebotsbearbeitung.- 4.6.2 Auftragsklarung.- 4.6.3 Auftragsgrobterminierung.- 4.6.4 Ressourcengrobplanung (auftragsbezogen).- 4.6.5 Auftragsführung.- 4.7 Lagerwesen.- 4.7.1 Lagerbewegungsführung.- 4.7.2 Bestandssteuerung.- 4.7.3 Lagerort- und Lagerplatzverwaltung.- 4.7.4 Chargenverwaltung.- 4.7.5 Lagerkontrolle.- 4.7.6 Inventur.- 4.8 PPS-Controlling.- 4.8.1 Informationsautbereitung.- 4.8.2 Informationsbewertung.- 4.8.3 Konfiguration.- 4.9 Ausprägungen der Arbeitssteuerung.- 4.9.1 Morphologie.- 4.9.2 Auftragsfertiger.- 4.9.3 Rahmenauftragsfertiger.- 4.9.4 Variantenfertiger.- 4.9.5 Lagerfertiger.- 4.10 Ausgewählte Strategien und Verfahren im Rahmen der Produktionsplanung und -steuerung.- 4.10.1 Übersicht.- 4.10.2 Management Resources Planning.- 4.10.3 Kanban.- 4.10.4 Fortschrittszahlenkonzept.- 4.10.5 Belastungsorientierte Auftragsfreigabe.- 4.10.6 Optimized Production Technology.- 4.10.7 Einordnung und Bewertung.- 6 EDV-Systeme in der Arbeitsvorbereitung.- 6.1 Tätigkeitsspezifische EDV-Unterstützung.- 6.1.1 Rationalisierungsmöglichkeiten durch EDV-Einsatz in der Arbeitsplanung.- 6.1.2 Vorgehensweise zur Rationalisierung der Arbeitsplanung.- 6.1.3 Vorgehensweise zur Einführung von EDV-Systemen.- 6.2 Feature-Technologie.- 6.2.1 Grundbegriffe der Feature-Technologie.- 6.2.2 Anwen

There are two different, interdependent components of IT that are important to a CIO: strategy, which is long-term; and tactical and operational concerns, which are short-term. Based on this distinction and its repercussions, this book clearly separates strategy from day-to-day operations and projects from operations - the two most important functions of a CIO.It starts by discussing the ideal organization of an IT department and the rationale behind it, and then goes on to debate the most pressing need - managing operations. It also explains some best industry standards and their practical implementation, and discusses project management, again highlighting the differences between the methodologies used in projects and those used in operations. A special chapter is devoted to the cutover of projects into operations, a critical aspect seldom discussed in detail. Other chapters touch on the management of IT portfolios, project governance, as well as agile project methodology, how it differs from the waterfall methodology, and when it is convenient to apply each. In this second edition, besides a number of corrections and updates throughout the text, chapter 8 on "Agile Project Management" replaces the former chapter 8 completely, and chapter 10 on "IT Security" has been newly introduced as this topic has become more and more important for both management and operations during the last six years.Taking the fundamental principles of IT service management and best practices in project management, the book offers a single, seamless reference for IT managers and professionals. It is highly practical, explaining how to apply these principles based on the author's extensive experience in industry.

1. Der Betrieb.- 1.1. Einführung.- 1.2. Wesen des Baubetriebes.- 1.2.1. Überblick.- 1.2.2. Das Besondere.- 1.2.3. Moderne Aspekte.- 1.2.4. Moderne Methoden.- 1.2.5. Moderne Hilfsmittel.- 1.2.6. Tätigkeitsbereiche.- 1.2.7. Image.- 1.2.8. Wettbewerb und Gewinn.- 1.2.9. Management.- 1.2.10. Handeln.- 1.3. Der Produktionsapparat.- 1.3.1. Überblick.- 1.3.2. Bauwirtschaft.- 1.3.3. Bauuunternehmungen.- 1.3.4. Baubetriebsabteilung.- 1.3.5. Maschinentechnische Abteilung.- 1.3.6. Baustelle.- 1.3.7. Arbeitsgemeinschaft (ARGE).- 1.3.8. Bauleiter.- 1.3.9. Technischer Leiter.- 1.3.10. Betriebsführung.- 1.4. Der Weg zum Auftrag.- 1.4.1. Überblick.- 1.4.2. Planung.- 1.4.3. Entwurf.- 1.4.4. Ausschreibung.- 1.4.5. Leistungsverzeichnis.- 1.4.6. Vergabewesen.- 1.4.7. Projektierung.- 1.4.7.1. Verfahrenstechnik.- 1.4.7.2. Wahl des Bauverfahrens.- 1.4.7.3. Fertigungssystem.- 1.4.7.3.1. Betriebsstruktur.- 1.4.7.3.2. Transportstruktur.- 1.4.8. Sondervorschläge.- 1.4.9 Angebotskalkulation.- 1.5. Baupreisermittlung.- 1.5.1. Überblick.- 1.5.2. Herstellkosten der Gesamtleistung.- 1.5.3. Einzelkosten der Teilleistungen.- 1.5.4. Maschinenkosten.- 1.5.5. Arbeitstage.- 1.5.6. Gemeinkosten der Baustelle.- 1.5.7. Zuschläge.- 1.5.8. Baupreis.- 1.5.9. Angebot.- 1.5.10. Der Zuschlag.- 1.6. Ausführung.- 1.6.1. Überblick.- 1.6.2. Bauvertrag.- 1.6.3. Bildung einer Arbeitsgemeinschaft.- 1.6.4. Organisation der Baustelle.- 1.6.5. Pläne.- 1.6.6. Auftragskalkulation.- 1.6.6.1. Beispiel Schalkosten.- 1.6.6.2. Beispiel Maschinenkosten.- 1.6.7. Arbeitsvorbereitung.- 1.6.8. Bauarbeitsplan.- 1.6.9. Bauzeitpläne.- 1.6.10. Bereitstellungspläne.- 1.6.11. Baustelleneinrichtung.- 1.6.11.1. Planungsgrundsätze.- 1.6.11.2. Aufstellung der Turmdrehkrane.- 1.6.12. Vermessung.- 1.6.13. Berichtswesen.- 1.6.14. Führungstechnik.- 1.7. Moderne Planungsmethoden.- 1.7.1. Überblick.- 1.7.2. Netzplantechnik.- 1.7.3. Arbeitsweise der Netzplantechnik.- 1.7.3.1. Vorgangspfeilnetzplan.- 1.7.3.2. Vorgangsknotennetzplan.- 1.7.3.3. Verknüpfung.- 1.7.4. Anwendungsbeispiel.- 1.7.5. Systemtechnik.- 1.7.5.1. Überblick.- 1.7.5.2. Das System.- 1.7.5.3. Systemerkennung.- 1.7.5.4. Vorgehensweise.- 1.7.5.5. Modellbildung.- 1.7.5.6. Hilfsmittel.- 1.7.5.7. Morphologischer Kasten.- 1.7.5.8. Nutzwertanalyse.- 1.7.6. Beispiel mathematisches Modell.- 1.7.7. Kybernetik.- 1.7.7.1. Funktionsweise.- 1.7.7.2. Regelkreise.- 1.7.8. Operations Research.- 1.7.8.1. Überblick.- 1.7.8.2. Verfahren des Operation Research.- 1.7.8.3. Vorgehen.- 1.7.8.4. Lineares Programmieren.- 1.7.8.4.1. Ein Transportproblem.- 1.7.8.4.2. Ein Zuordnungsproblem.- 1.7.8.5. Warteschlangentheorie.- 1.7.9. Simulation.- 1.7.10. Aktuelles Planungsbeispiel.- 1.8. Weitere wichtige Problemkreise.- 1.8.1. Überblick.- 1.8.2. Vertragsfragen.- 1.8.3. Sicherheit auf der Baustelle.- 1.8.4. Baulärm.- 1.8.4.1. Richtlinien und Bestimmungen.- 1.8.4.2. Lärmmessungen.- 1.8.4.3. Lärmarme Baustelleneinrichtung.- 1.8.4.4. Lärmminderungsplanung.- 1.8.4.5. Öffentlichkeitsarbeit.- 1.8.5. Erschütterungen.- 1.8.6. Boden.- 1.8.7. Wetter.- 1.9. Kalkulations-Formblätter.- 1.10. Auszüge aus der VOB.- 1.10.1. Teil A: Allgemeine Bestimmungen für die Vergabe von Bauleistungen.- 1.10.1.1. Arten der Vergabe (§ 3).- 1.10.1.2. Leistungsvertrag, Stundenlohnvertrag, Selbstkostenerstattungsvertrag (§5).- 1.10.1.3. Leistungsbeschreibung (§ 9).- 1.10.1.4. Vertragsbedingungen (§ 10).- 1.10.2. Teil B: Allgemeine Vertragsbedingungen für die Ausführung von Bauleistungen.- 1.10.2.1. Art und Umfang der Leistung (§ 1).- 1.10.2.2. Vergütung (§ 2).- 1.10.2.3. Ausführungsunterlagen (§ 3).- 1.10.2.4. Abnahme (§12).- 1.10.2.5. Gewährleistung (§ 13).- 1.10.2.6. Sicherheitsleistung (§ 17).- 1.11. Beispiel "Institutsneubau".- 1.11.1. Überblick.- 1.11.2. Projektplanung.- 1.11.2.1. Schwerpunkte.- 1.11.2.2. Grundlagen.- 1.11.2.3. Leistungen des Auftraggebers.- 1.11.2.4. Leistungsbeschreibung (LV).- 1.11.3. Ausschreibung.- 1.11.4. Angebotsstrategie.- 1.11.5. Angeb

This open access book provides an overview of the progress in landslide research and technology and is part of a book series of the International Consortium on Landslides (ICL). The book provides a common platform for the publication of recent progress in landslide research and technology for practical applications and the benefit for the society contributing to the Kyoto Landslide Commitment 2020, which is expected to continue up to 2030 and even beyond to globally promote the understanding and reduction of landslide disaster risk, as well as to address the 2030 Agenda Sustainable Development Goals.

This book is a comprehensive resource for managers, engineers, researchers, academics, and professionals from various fields seeking to grasp the complexities and opportunities presented by digital transformation. It goes beyond the superficial understanding of digitalization, delving into the intricacies of this transformative process and its profound impact on organizations. By exploring the latest developments and insights from around the world, readers will gain a deep understanding of how digital transformation influences not only technological aspects but also human resources, processes, relationships, and information management. With a critical lens, this book addresses the challenges and changes that arise in the context of digital transformation, empowering readers to effectively lead and manage these processes. From examining the role of technology transfer to discussing talent management, consumer vulnerabilities, generative AIs, and the evolving landscape of e-commerce and internet use, this book provides a rich tapestry of knowledge and practical recommendations. It also highlights the significance of collaboration, virtual teams, and intelligent tools in driving digitalization. Moreover, it explores innovative management practices and techniques for addressing mobile phone waste, utilizing scientometric, bibliometric, and visual analytic tools. Ultimately, this book equips readers with the necessary insights and strategies to navigate the digital transformation successfully and harness its potential to achieve organizational excellence in an increasingly dynamic world.

This book highlights recent research advances in various domains related to software ecosystems such as library reuse, collaborative development, cloud computing, open science, sentiment analysis and machine learning. A key aspect of software ecosystems is that software products belong to ever more interdependent networks of co-evolving software components. The ever-increasing importance of social coding platforms has made software ecosystems indispensable to software practitioners, in commercial as well as open-source settings.The book starts with an introductory chapter that provides a historical account of the origins of software ecosystems. It provides the necessary context about the domain of software ecosystems by highlighting its different perspectives, definitions, and representations. It also exemplifies the variety of software ecosystems that have emerged during the previous decades. The remaining book is composed of five parts: Part I contains two chapters on software ecosystem representations, Part II two chapters that focus on complementary ways and techniques of analyzing software ecosystems. Next, Part III includes two chapters that focus on aspects related to the evolution within software ecosystems, while Part IV looks at workflow automation and infrastructure-as-code ecosystems. Finally, Part V focuses on ecosystems for software modeling and for data-intensive software.This book is intended for researchers and practitioners interested in data mining, tooling, and empirical analysis of software ecosystems. The reader will appreciate chapters that cover a wide spectrum of social and technical aspects of software ecosystems, each including an overview of the state of the art.Chapter 2 The Software Heritage Open Science Ecosystem is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today's conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.

The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education.The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19-23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.

1. Nomenklatur, Indizierungsregeln und Definitionen.- 2. Faser-Kunststoff-Verbund und seine Ausgangswerkstoffe.- 3. Verbund- und Bauteilherstellung.- 4. Werkstoffeigenschaften, Versuche und Interpretation durch Modelle.- 5. Vorausberechnung der ES-Kennwerte mittels Mikromechanik.- 6. Schichtenverbundanalyse.- 7. Berechnung der Bauteilbeanspruchung.- 8. Sicherheit und Zuverlässigkeit.- 9. Abschließende Empfehlungen.- 10. Glossar.- 11. Literaturhinweise.- 12. Stichwortverzeichnis.

This book gathers the peer-reviewed proceedings of the 14th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'19, held in Sofia, Bulgaria. The general theme of BGSIAM'19 was industrial and applied mathematics with particular focus on mathematical physics, numerical analysis, high-performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, and advanced computing in environmental, biomedical, and engineering applications.

Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware--and the software to control it--is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error. Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high-performance output. The purpose of this book is to spur the adoption and the creation of domain-specific languages, especially for the task of creating hardware designs. In the first chapter, a short historical journey explains the forces driving computer architecture today. Chapter 2 describes the various methods for producing designs for accelerators, outlining the push for more abstraction and the tools that enable designers to work at a higher conceptual level. From there, Chapter 3 provides a brief introduction to image processing algorithms and hardware design patterns for implementing them. Chapters 4 and 5 describe and compare Darkroom and Halide, two domain-specific languages created for image processing that produce high-performance designs for both FPGAs and CPUs from the same source code, enabling rapid design cycles and quick porting of algorithms. The final section describes how the DSL approach also simplifies the problem of interfacing between application code and the accelerator by generating the driver stack in addition to the accelerator configuration. This book should serve as a useful introduction to domain-specialized computing for computer architecture students and as a primer on domain-specific languages and image processing hardware for those with more experience in the field.

Foreward - Introduction - Open Questions in Neurocomputing for Earth Observation - A Comparison of the Characterisation of Agricultural Land Using Singular Value Decomposition and Neural Networks - Land Cover Mapping from Remotely Sensed Data with a Neural Network: Accomodation Fuzziness - Geological Mapping Using Multi-Sensor Data: A Comparison of Methods - Application of Neural Networks and Order Statistics Filters to Speckle Noise Reduction in Remote Sensing Imaging - Neural Nets and Multichannel Image Processing Applications - Neural Networks for Classification of Ice Type Concentration from ERS-1 SAR Images. Classical Methods versus Neural Networks - A Neural Network Approach to Spectral Mixture Analysis - Comparison Between Systems of Image Interpretation - Feature Extraction for Neural Network Classifiers - Spectral Pattern Recognition by a Two-Layer Perceptron: Effects of Training Set Size - Comparison and Combination of Statistical and Neural Network Algorithms for Remote-Sensing Image Classification - Integrating the Alisa Classifier with Knowledge-Based Methods for Cadastral-Map Interpretation - A Hybrid Method for Preprocessing and Classification of SPOT Images - Testing some Connectionist Approaches for Thematic Mapping of Rural Areas - Using Artificial Recurrent Neural Nets to Identify Spectral and Spatial Patterns for Satellite Imagery Classification of Urban Areas - Dynamic Segmentation of Satellite Images Using Pulsed Coupled Neural Networks - Non-Linear Diffusion as a Neuron-Like Paradigm for Low-Level Vision - Application of the Constructive Mikado-Algorithm on Remotely Sensed Data - A Simple Neural Network Contextual Classifier - Optimising Neural Networks for Land Use Classification - High Speed Image Segmentation Using a Binary Neural Network - Efficient Processing and Analysis of Images Using Neural Networks - Selection of the Number of Clusters in Remote Sensing Images by Means of Neural Networks - A Comparative Study of Topological Feature Maps Versus Conventional Clustering for (Multi-Spectral) Scene. Identification in METEOSAT Imagery - Self Organised Maps: the Combined Utilisation of Feature and Novelty Detectors - Generalisation of Neural Network Based Segmentation. Results for Classification Purposes - Remote Sensing Applications which may be Addressed by Neural Networks Using Parallel Processing Technology - General Discussion

This textbook is a complete, self-sufficient, self-study/tutorial-type source of mathematical problems. It serves as a primary source for practicing and developing mathematical skills and techniques that will be essential in future studies and engineering practice. Rigor and mathematical formalism is drastically reduced, while the main focus is on developing practical skills and techniques for solving mathematical problems, given in forms typically found in engineering and science. These practical techniques are split into three separate books: the topics of algebra, complex algebra, and linear algebra (Vol. I), calculus of single and multiple argument functions (Vol. II), and continues and discrete Convolution and Fourier integrals/sums of typical functions used in signal processing, in addition to Laplace transform examples (Vol. III).

1 Allgemeine Verfahren und Grundsätze.- 1.1 GMP-Richtlinien.- 1.2 Hygienemaßnahmen in der Lebensmittelindustrie.- 1.3 Umweltschutz (Abluft- und Abwasser) in der Nahrungs- und Genußmittelindustrie.- 1.4 Möglichkeiten der Haltbarmachung von Lebensmitteln durch physikalische Verfahren.- 1.5 Extraktion mit überkritischen Gasen.- 1.6 Anwendung von Enzymen in der Lebensmitteltechnik.- 2 Fette und Öle.- 2.1 Gewinnung und Raffination von Fetten und Ölen.- 2.2 Verfahren zur Modifizierung von Fetten und Ölen.- 2.3 Fettsäuren und deren Veresterung.- 2.4 Margarine-Herstellung.- 3 Getreide und Getreideerzeugnisse.- 3.1 Müllerei-Technologie.- 3.2 Brot- und Kleingebäck.- 3.3 Feine Backwaren.- 3.4 Teigwaren und ihre Herstellung.- 3.5 Mikrobiologie der Backwaren-Herstellung.- 4 Kartoffelerzeugnisse.- 5 Stärke.- 6 Zucker.- 6.1 Zuckertechnologie.- 6.2 Zuckerwarentechnologie.- 6.3 Technologie der Kakao- und Schokoladeherstellung.- 7 Getränke.- 7.1 Erfrischungsgetränke.- 7.2 Fruchtgetränke und Gemüsesäfte.- 7.3 Bier.- 7.4 Technologie des Weines.- 7.5 Spirituosen.- 8 Kaffee und Tee.- 9 Milch und Milchprodukte.- 10 Fleischverarbeitung.- 11 Fischverarbeitung.- 12 Obst- und Gemüseverwertung.- 13 Konfitüren - Gelees - Marmeladen.- 14 Gewürze und Drogen.- 15 Essig und Senf.- 15.1 Essig.- 15.2 Senf.- 16 Suppen, Soßen, Brühen in Trocken- und Pastenform, Würzen.- 17 Tiefkühlkost.

The AI enabled enterprise uses technology to continuously learn by monitoring its behavior and the environment as well as external knowledge sources in order to automate the decision-making and decision-implementation processes leading to continuous improvement over time. This book discusses the key challenges that organizations need to overcome in achieving an AI enabled enterprise: the role of digital twins in evidence-backed design, enterprise cartography that goes far beyond process mining, decision-making in the face of uncertainty, software architecture for continuous adaptation, democratized knowledge-guided software development enabling coordinated design, low code versus no code, and coherent design. For each challenge, the book proposes a line of attack along with the associated enabling technology and illustrates the same through a near real world use case.

This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare.The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

I. Motors, Vehicles.- Synthesis of Automotive Cams Using Multiple Shooting-SQP Methods for Constrained Optimization.- Numerical Optimization of Scavenging in Two-Stroke Engines with Transfer Ducts, an Exhaust Port and a Moving Piston.- A Numerical Tool for Flow Simulation in a Wankel Motor.- An Efficient Navier-Stokes Solver for Automotive Aerodynamics.- Numerical Simulation of Exhaust Systems in Car Industry - Efficient Calculation of Radiation Heat Transfer.- Combinatorial Optimization Techniques for Three-Dimensional Arrangement Problems.- Simulation of Test-drives of Automobiles at Driving Limit.- An Optimal Control Approach To Real-Time Vehicle Guidance.- Theoretical and Experimental Studies of an S-Catamaran.- II. Environmental Technology.- Robust Error Estimators for Interface Problems Occuring in Transport Processes in Porous Media.- Modelling and Simulation of a Planned Bio-Chemical in situ Remediation.- Influence of Surfactants on Spreading of Contaminants and Soil Remediation.- Improvement of Environment Observing Remote Sensing Devices by Regularization Techniques.- III. Flow, Transport and Reactions in Technological Processes.- Stability Analysis for Reactors from Chemical Industry.- Heterogeneous Dynamic Process Flowsheet Simulation of Chemical Plants.- Numerical Simulation of Annular Chromatography.- Numerical Methods for Parameter Estimation in Bingham-Fluids.- A Viscoelastic Turbulence Model Based on Renormalization Group Theory.- Modelling and Simulation of Capacitor Impulse Welding.- Analysis of Transport Processes for Layered Porous Materials Used in Industrial Applications.- Modelling and Numerical Simulation of District Heating Networks with Time-Saving Solution Methods.- Sensitivity and Robustness Analysis for Construction and Monitoring of Tubine-Generator Shafts.- IV. Optics and Sensors.- Adaptive Multigrid Methods for the Vectorial Maxwell Eigenvalue Problem for Optical Waveguide Design.- Direct and Inverse Problems for Diffractive Structures - Optimization of Binary Gratings.- Computation of Electromagnetic Fields for a Humidity Sensor.- V. Crystal Growth, Semiconductors.- Simulation of Industrial Crystal Growth by the Vertical Bridgman Method.- Numerical Simulation and Control of Industrial Crystal Growth Processes.- Optimal Control of Sublimation Growth of SiC Crystals.- Mathematical Modelling and Numerical Simulation of Semiconductor Detectors.- Optimal Design of High Power Electronic Devices by Topology Optimization.- Modelling and Simulation of Strained Quantum Wells in Semiconductor Lasers.- VI. Electronic Circuits.- Efficient Analysis of Oscillatory Circuits.- Modelling and Simulation of Power Devices for High-Voltage Integrated Circuits.- Finding Beneficial DAE Structures in Circuit Simulation.- CHORAL - a Charge-Oriented Algorithm for the Numerical Integration of Electrical Circuits.- VII. Tomography, Image Analysis and Visualisation.- Reconstructing Crystalline Structures from Few Images Under High Resolution Transmission Electron Microscopy.- Measurement of Paint Layer Thickness with Photothermal Infrared Radiometry.- Spatio-Temporal Current Density Reconstruction from EEG-/MEG-Data.- Signal Correction in NMR Spectroscopy.- On Scattering of Ultrasonic Waves.- Smoothing of Tomographic Data and Hybrid Volume-Surface Visualisation.- Video Coding with Adaptive Vector Quantization and Rate Distortion Optimization.- VIII. Statistical Methods in Medical Applications.- The Application of Statistical Methods of Meta-Analysis for Heterogeneity Modelling in Medicine and Pharmacy, Psychology, Quality Control and Assurance.- An Application for the Analysis of Human Tremor Time-Series.- IX. Optimization in Design and Production.- Free Material Optimization.- Automatic Layout and Labelling of State Diagrams.- Optimization Problems in a Semi-Automatic Device for Cutting Leather.- Stochastic Programming for Power Production and Trading Under Uncertainty.- Scheduling Scarce Resources in Chemical Engineer...

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow's communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network.This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.