- Table View
- List View
Network Science: Analysis and Optimization Algorithms for Real-World Applications
by Carlos Andre PinheiroNetwork Science Network Science offers comprehensive insight on network analysis and network optimization algorithms, with simple step-by-step guides and examples throughout, and a thorough introduction and history of network science, explaining the key concepts and the type of data needed for network analysis, ensuring a smooth learning experience for readers. It also includes a detailed introduction to multiple network optimization algorithms, including linear assignment, network flow and routing problems. The text is comprised of five chapters, focusing on subgraphs, network analysis, network optimization, and includes a list of case studies, those of which include influence factors in telecommunications, fraud detection in taxpayers, identifying the viral effect in purchasing, finding optimal routes considering public transportation systems, among many others. This insightful book shows how to apply algorithms to solve complex problems in real-life scenarios and shows the math behind these algorithms, enabling readers to learn how to develop them and scrutinize the results. Written by a highly qualified author with significant experience in the field, Network Science also includes information on: Sub-networks, covering connected components, bi-connected components, community detection, k-core decomposition, reach network, projection, nodes similarity and pattern matching Network centrality measures, covering degree, influence, clustering coefficient, closeness, betweenness, eigenvector, PageRank, hub and authority Network optimization, covering clique, cycle, linear assignment, minimum-cost network flow, maximum network flow problem, minimum cut, minimum spanning tree, path, shortest path, transitive closure, traveling salesman problem, vehicle routing problem and topological sort With in-depth and authoritative coverage of the subject and many case studies to convey concepts clearly, Network Science is a helpful training resource for professional and industry workers in, telecommunications, insurance, retail, banking, healthcare, public sector, among others, plus as a supplementary reading for an introductory Network Science course for undergraduate students.
Network Security Empowered by Artificial Intelligence (Advances in Information Security #107)
by Yingying Chen Jie Wu Paul Yu Xiaogang WangThis book introduces cutting-edge methods on security in spectrum management, mobile networks and next-generation wireless networks in the era of artificial intelligence (AI) and machine learning (ML). This book includes four parts: (a) Architecture Innovations and Security in 5G Networks, (b) Security in Artificial Intelligence-enabled Intrusion Detection Systems. (c) Attack and Defense in Artificial Intelligence-enabled Wireless Systems, (d) Security in Network-enabled Applications. The first part discusses the architectural innovations and security challenges of 5G networks, highlighting novel network structures and strategies to counter vulnerabilities. The second part provides a comprehensive analysis of intrusion detection systems and the pivotal role of AI and machine learning in defense and vulnerability assessment. The third part focuses on wireless systems, where deep learning is explored to enhance wireless communication security. The final part broadens the scope, examining the applications of these emerging technologies in network-enabled fields.The advancement of AI/ML has led to new opportunities for efficient tactical communication and network systems, but also new vulnerabilities. Along this direction, innovative AI-driven solutions, such as game-theoretic frameworks and zero-trust architectures are developed to strengthen defenses against sophisticated cyber threats. Adversarial training methods are adopted to augment this security further. Simultaneously, deep learning techniques are emerging as effective tools for securing wireless communications and improving intrusion detection systems. Additionally, distributed machine learning, exemplified by federated learning, is revolutionizing security model training. Moreover, the integration of AI into network security, especially in cyber-physical systems, demands careful consideration to ensure it aligns with the dynamics of these systems.This book is valuable for academics, researchers, and students in AI/ML, network security, and related fields. It serves as a resource for those in computer networks, AI, ML, and data science, and can be used as a reference or secondary textbook.
Network Theory and Agent-Based Modeling in Economics and Finance
by Anindya S. Chakrabarti Lukáš Pichl Taisei KaizojiThis book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.
Network and Discrete Location
by Mark S. DaskinPraise for the First EditionThis book is refreshing to read since it takes an important topic... and presents it in a clear and concise manner by using examples that include visual presentations of the problem, solution methods, and results along with an explanation of the mathematical and procedural steps required to model the problem and work through to a solution." --Journal of ClassificationThoroughly updated and revised, Network and Discrete Location: Models, Algorithms, and Applications, Second Edition remains the go-to guide on facility location modeling. The book offers a unique introduction to methodological tools for solving location models and provides insight into when each approach is useful and what information can be obtained.The Second Edition focuses on real-world extensions of the basic models used in locating facilities, including production and distribution systems, location-inventory models, and defender-interdictor problems. A unique taxonomy of location problems and models is also presented. Featuring examples using the author's own software--SITATION, MOD-DIST, and MENU-OKF--as well as Microsoft Office® Excel®, the book provides: * A theoretical and applied perspective on location models and algorithms* An intuitive presentation of the uses and limits of modeling techniques* An introduction to integrated location-inventory modeling and defender-interdictor models for the design of reliable facility location systems* A full range of exercises to equip readers with an understanding of the basic facility location model types Network and Discrete Location: Models, Algorithms, and Applications, Second Edition is an essential resource for practitioners in applied and discrete mathematics, operations research, industrial engineering, and quantitative geography. The book is also a useful textbook for upper-level undergraduate, graduate, and MBA courses.
Network-Based Control of Unmanned Marine Vehicles
by Chen Peng Qing-Long Han Yu-Long Wang Lang MaThis book presents a comprehensive analysis of stability, stabilization, and fault detection in networked control systems, with a focus on unmanned marine vehicles. It investigates the challenges of network-based control in areas like heading control, fault detection filter and controller design, dynamic positioning, and cooperative target tracking. Communication networks in control systems can induce delays and dropouts, so the book presents the importance of stability analysis, stabilize, and fault detection. To help readers gain a deeper understanding of these concepts, the book provides fundamental concepts and real-world examples. This book is a valuable resource for researchers and practitioners working in the field of network-based control for unmanned marine vehicles.
Network-Oriented Modeling
by Jan TreurThis book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models - including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks - illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.
Networked Multisensor Decision and Estimation Fusion: Based on Advanced Mathematical Methods
by Jie Zhou Yunmin Zhu Xiaojing Shen Enbin Song Yingting LuoDue to the increased capability, reliability, robustness, and survivability of systems with multiple distributed sensors, multi-source information fusion has become a crucial technique in a growing number of areas-including sensor networks, space technology, air traffic control, military engineering, agriculture and environmental engineering, and i
Networking and Computation: Technology, Modeling and Performance
by Li Shi Thomas G. RobertazziThis useful volume adopts a balanced approach between technology and mathematical modeling in computer networks, covering such topics as switching elements and fabrics, Ethernet, and ALOHA design. The discussion includes a variety of queueing models, routing, protocol verification and error codes and divisible load theory, a new modeling technique with applications to grids and parallel and distributed processing. Examples at the end of each chapter provide ample material for practice. This book can serve as an text for an undergraduate or graduate course on computer networks or performance evaluation in electrical and computer engineering or computer science.
Networking of Theories as a Research Practice in Mathematics Education
by Angelika Bikner-Ahsbahs Susanne PredigerHow can we deal with the diversity of theories in mathematics education? This was the main question that led the authors of this book to found the Networking Theories Group. Starting from the shared assumption that the existence of different theories is a resource for mathematics education research, the authors have explored the possibilities of interactions between theories, such as contrasting, coordinating, and locally integrating them. The book explains and illustrates what it means to network theories; it presents networking as a challenging but fruitful research practice and shows how the Group dealt with this challenge considering five theoretical approaches, namely the approach of Action, Production, and Communication (APC), the Theory of Didactical Situations (TDS), the Anthropological Theory of the Didactic (ATD), the approach of Abstraction in Context (AiC), and the Theory of Interest-Dense Situations (IDS). A synthetic presentation of each theory and their connections shows how the activity of networking generates questions at the theoretical, methodological and practical levels and how the work on these questions leads to both theoretical and practical progress. The core of the book consists of four new networking case studies which illustrate what exactly can be gained by this approach and what kind of difficulties might arise.
Networks Against Time
by Ladimer S. Nagurney Anna Nagurney Min Yu Amir H. MasoumiDespite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.
Networks in the Global World V: Proceedings of NetGloW 2020 (Lecture Notes in Networks and Systems #181)
by Artem Antonyuk Nikita BasovThis proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology, computational science, education research, literature studies, political science, international relations, social media research, and urban studies. The papers comprising this collection were presented at the Fifth ‘Networks in the Global World’ conference organized by the Centre for German and European Studies of St. Petersburg University and Bielefeld University and held on July 7–9, 2020. This biannual conference series revolves around key interdisciplinary issues in the focus of network analysts, such as the multidimensional approach to social reality, translation of theories and methods across disciplines, and mixing of data and methods. The distinctive features of this book are the emphasis on in-depth linkages between theory, method, and applications, the blend of qualitative and quantitative methods, and the joint consideration of different network levels, types, and contexts. The topics covered by the papers include interrelation of social and cultural structures, constellations of power, and patterns of interaction in areas ranging from various types of communities (local, international, educational, political, and so on) to social media and literature. The book is useful for practicing researchers, graduate and postgraduate students, and educators interested in network analysis of social relations, politics, economy, and culture. Features that set the book apart from others in the field: · The book offers a unique cross-disciplinary blend of computational and ethnographic network analyses applied to a diverse spectrum of spheres, from literature and education to urban planning and policymaking. · Embracing conceptual, methodological, and empirical works, the book is among the few in network analysis to emphasize connections between theory, method, and applications. · The book brings together authors and empirical contexts from all over the globe, with a particular emphasis on European societies.
Networks of Echoes
by Bruce J. West Malgorzata Turalska Paolo GrigoliniNetworks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs. There are hundreds of complex network phenomena whose statistical properties are described by inverse power laws. The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives. We examine how this intermittent statistical behavior intertwines itself with what appears to be the organized activity of social groups. The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms? How is the stability of a society undermined by zealots and committed minorities and how is that stability re-established? Can we learn to answer such questions about human behavior by studying the way flocks of birds retain their formation when eluding a predator? These questions and others are answered using a generic model of a complex dynamic network--one whose global behavior is determined by a symmetric interaction among individuals based on social imitation. The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent first and second moments, are non-stationary, non-ergodic and non-Poisson. How phase transitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general. The decision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective. This insightful overview of recent tools and their uses may serve as an introduction and curriculum guide in related courses.
Neue Fenster in das Universum: Von Hubble-, James-Webb- und anderen Großteleskopen bis zu Gravitationswellendetektoren
by Arnold HanslmeierDie Beobachtungsmöglichkeiten der modernen Astrophysik werden immer zahlreicher. Sie reichen von optischen Teleskopen über Weltraumteleskope im Infraroten bis zu Radioteleskopen und von Gravitationswellendetektoren bis hin zu Neutrinoobservatorien. Während die einen im Weltraum ein Augenmerk auf das Licht werfen, nehmen andere unter Wasser kleinste Teilchen unter die Lupe oder messen Störungen der Raumzeit, die kleiner sind als der Durchmesser eines Protons. Das Buch bietet einen spannenden umfassenden Überblick über unsere technischen Möglichkeiten, das Universum zu erforschen. Als Grundlage für eine Vorlesung in Astronomie bzw. Astrophysik ist es ebenso geeignet wie als Lektüre für naturwissenschaftlich Interessierte.
Neue Materialien für einen realitätsbezogenen Mathematikunterricht 5
by Katja Eilerts Katharina SkutellaDieser Band präsentiert erfolgreich erprobte Modellierungskontexte für die Grundschule und bietet praxisbezogene Empfehlungen für einen guten Mathematikunterricht. Neben zahlreichen Praxisbeispielen widmet sich der Band weiterführenden, für die Grundschule relevanten Fragen und eröffnet dabei neue Perspektiven: Wie gelingt mathematisches Modellieren in heterogenen, inklusiven oder jahrgangsübergreifenden Lerngruppen? Auf welche Weise können sprachförderliche Elemente das Mathematiklernen der Kinder bereichern? Wie wird Mathematikunterricht gendersensibel gestaltet? Wie lassen sich Übergänge gestalten und Brücken schlagen vom Elementar- in den Primarbereich und von dort in die Sekundarstufe? Diese und andere hochaktuelle Fragen werden in diesem Band am Beispiel konkreter Modellierungsanlässe adressiert. Dies ist der fünfte Band mit "Neuen Materialien für einen realitätsbezogenen Mathematikunterricht" von ISTRON, einer Gruppe von Lehrenden an Schulen und Hochschulen sowie in der Lehrerbildung tätigen Personen.
Neue Materialien für einen realitätsbezogenen Mathematikunterricht 10: ISTRON-Band zum Modellieren in der Praxis: Lernumgebungen zur Kompetenzorientierung in den Sekundarstufen (Realitätsbezüge im Mathematikunterricht)
by Maike Hagena Michael Besser Janina Krawitz Natalie Tropper-GrimannDie 10 Beiträge dieses Sammelbands zeigen, wie mathematisches Modellieren erfolgreich in den alltäglichen Mathematikunterricht integriert werden kann: Angeboten werden praktisch erprobte Lernumgebungen für die unterschiedlichen Jahrgangsstufen der Sekundarstufen. Die Autor*innenteams der Beiträge bestehen jeweils aus erfahrenen Mathematiklehrkräften und Hochschullehrenden der Mathematik bzw. Mathematikdidaktik. Diese reflektieren ihre Lernumgebung kritisch und verorten sie dafür in einem fachlichen und fachdidaktischen Rahmen. Darüber hinaus werden Ideen zu Unterrichtsplanung und Unterrichtsverlauf skizziert und eigene Erfahrungen unter Rückgriff auf Schüler*innenlösungen diskutiert. Unterrichtsmaterialien zu ausgewählten Beiträgen sind online verfügbar. Sie ermöglichen einen schnellen Zugang zu den Lernumgebungen und den direkten Einsatz im eigenen Mathematikunterricht.
Neue Materialien für einen realitätsbezogenen Mathematikunterricht 6: ISTRON-Schriftenreihe (Realitätsbezüge im Mathematikunterricht)
by Jürgen Maaß Irene GrafenhoferDieser neue ISTRON-Band bietet einen bunten Strauß aktueller Beispiele für einen Mathematikunterricht mit Realitätsbezug. Modellierungskompetenz ist gefragt und wird in Lehrplänen gefordert. Realitätsbezogener Mathematikunterricht motiviert die Schülerinnen und Schüler. Diese Art von Unterricht trägt wesentlich zur Modellierungskompetenz bei durch die Beantwortung der wichtigen Frage: "Wozu sollen wir das lernen?".Die Autorinnen und Autoren sind erfahrene Lehrerinnen und Lehrer sowie Mathematikdidaktikerinnen und Mathematikdidaktiker, die für dieses Buch im Mathematikunterricht erfolgreich einsetzbare und schon erprobte Unterrichtsvorschläge aufgeschrieben haben.
Neue Materialien für einen realitätsbezogenen Mathematikunterricht 7: ISTRON-Schriftenreihe (Realitätsbezüge im Mathematikunterricht)
by Berthold Schuppar Hans HumenbergerMathematik und Realität sind eng miteinander verbunden: Einerseits hilft Mathematik bei der Bewältigung von Problemen in der Realität, andererseits helfen Realitätsbezüge auch der Mathematik bzw. dem Unterricht (Motivation, Sinnfrage, Merkfähigkeit, Vermitteln eines ausgewogenen Bildes etc.). In bewährter Weise ist diese Verbindung zwischen Realität und Mathematik im vorliegenden ISTRON-Band konstitutiv, das Modellieren wird hier von vielen verschiedenen Seiten beleuchtet.Dieser Band enthält Beiträge von Fachdidaktiker*innen an Universitäten sowie von Lehrkräften und Fachleiter*innen. Die Fragestellungen werden dabei primär inhaltlich und unterrichtspraktisch behandelt, weniger theoretisch-wissenschaftlich. Der Band richtet sich also vor allem an die Praxis des Unterrichts bzw. der Aus- und Weiterbildung. Beispiele der angebotenen Themen reichen von Schulgärten und Populationsgenetik über Lebensversicherungen und die Veranschaulichung großer Zahlen bis hin zu Google-Maps-Bildern bzw. Flugzeugschatten und sogar der kühnen Idee eines Weltraumliftes. Auch die Schulstufen sind breit gestreut – das Niveau der vorgestellten Modellierungsaufgaben reicht von der frühen Sekundarstufe 1 bis zur späten Sekundarstufe 2.In insgesamt 14 Beiträgen zu Anwendungen und Modellierungen für den alltäglichen Mathematikunterricht werden interessante und im Unterricht gut umsetzbare Themen vorgestellt. Damit bereichert dieser Band den Unterricht vieler Lehrkräfte und hilft, die oft von Lernenden gestellte Frage „Wozu sollen wir das denn lernen?“ zu beantworten.Zielgruppen:Mathematiklehrerinnen und -lehrer der SekundarstufenLehrende in der Fort- und Weiterbildung für LehrkräfteStudierende des Lehramts Mathematik ab dem 1. SemesterLehrende der Mathematik und ihrer Didaktik an Hochschulen
Neue Materialien für einen realitätsbezogenen Mathematikunterricht 8: ISTRON-Schriftenreihe (Realitätsbezüge im Mathematikunterricht)
by Katrin Vorhölter Martin Bracke Matthias LudwigDieser neue ISTRON-Band für die Lehrerbildung beschäftigt sich mit der Konzeption, Organisation und Betreuung von Modellierungsprojekten für Schülerinnen und Schüler. Hierbei handelt es sich um offene Fragestellungen – in vielen Fällen eingebettet in ein interdisziplinäres Umfeld – bei denen es in der Bearbeitung einen großen Freiraum gibt, sowohl die inhaltliche Ausgestaltung als auch den zeitlichen Rahmen betreffend. Die Autoren/innen sind erfahrene Mathematikdidaktiker/innen und die Projekte wurden bereits erfolgreich erprobt. Inhaltlich reichen die Themen von der Frage Wie funktionieren Animationsfilme? über Funktionsweise und Konstruktion einer Spidercam® bis hin zu Modellierung, Simulation und Bau eines Musikbrunnens. Außerdem werden die folgenden Fragestellungen adressiert, die bei der Planung von eigenen Modellierungsprojekten sehr oft auftreten: Wie kommt man an eine Problemstellung?, Welche Rolle spielt der Computereinsatz in Modellierungsprojekten?, Wie kann eine sinnvolle Betreuung der Lernenden aussehen? und Welche Chancen und Herausforderungen bieten Modellierungsprojekte mit Schülerinnen und Schülern?. Dazu kommen Erfahrungsberichte aus Perspektive der Lernenden, der Lehrkräfte als Teilnehmer solcher Projekte sowie der Projektplaner/innen und -betreuer/innen.Dies ist der siebte Band mit Neuem Material für einen realitätsbezogenen Mathematikunterricht von ISTRON, einer Gruppe von Lehrenden an Schulen und Hochschulen sowie in der Lehrerbildung tätigen Personen, der innerhalb der Reihe Realitätsbezüge im Mathematikunterricht erscheint.
Neue Materialien für einen realitätsbezogenen Mathematikunterricht 9: ISTRON-Schriftenreihe (Realitätsbezüge im Mathematikunterricht)
by Martin Frank Christina RoeckerathErprobte Materialien mit authentischen und realen Modellierungsproblemen für den eigenen Mathematikunterricht? Dieses Buch liefert genau das. (Angehende) Lehrkräfte erhalten digitale und direkt einsetzbare Lehr- und Lernmaterialien für die Umsetzung von schülernahen Projekten zur mathematischen Modellierung. Es werden fünf Workshops zu realen Problemstellungen inklusive der zugehörigen digitalen Lernmaterialien detailliert beschrieben, die allesamt zahlreiche Anknüpfungspunkte an schulmathematische Inhalte liefern.In den fünf Workshops können die Schülerinnen und Schülerdie Bedeutung mathematischer Modellierung im Bereich Solarenergie erkunden,diskutieren und statistisch begründen, inwieweit der Klimawandel existiert,die Funktionsweise von Computertomographen erarbeiten,am Beispiel von Liedern ein eigenes Modell zur Datenkomprimierung entwickeln oder der Funktionsweise der Musikerkennungs-App Shazam auf den Grund gehen.Die Materialien der Workshops wurden bereits in verschiedenen Modellierungsveranstaltungen mit Schülerinnen und Schülern unterschiedlicher Jahrgangsstufen (ab Klasse 9) bearbeitet und kontinuierlich weiterentwickelt. Dieser Band liefert Hintergrundwissen zu allen fünf Workshops sowie didaktische Tipps für deren Umsetzung im Mathematikunterricht oder in fächerübergreifenden Projekten. Zugleich erhalten die Lehrkräfte Zugang zu dem digitalen Lernmaterial der Workshops. Dieses liegt auf einer Workshop-Plattform zum direkten Unterrichtseinsatz bereit. Lehrkräfte sowie Schülerinnen und Schüler können die Workshopmaterialien im Webbrowser bearbeiten.Die ZielgruppenMathematiklehrerinnen und -lehrer der SekundarstufenLehrende in der Fort- und Weiterbildung für Lehrkräfte (für Mathematiklehrkräfte)Studierende des Lehramts Mathematik ab dem 1. SemesterLehrende der Mathematik und ihrer Didaktik an Hochschulen
Neue Perspektiven auf mathematische Lehr-Lernprozesse mit digitalen Medien: Eine Auswahl grundlagenorientierter und praxisorientierter Beiträge (MINTUS – Beiträge zur mathematisch-naturwissenschaftlichen Bildung)
by Frederik Dilling Felicitas Pielsticker Ingo WitzkeDer Band stellt eine mathematikdidaktische Zusammenschau zum Einsatz digitaler Medien und Werkzeuge im Mathematikunterricht sowie in der Lehramtsausbildung Mathematik dar. Enthalten sind sowohl grundlagenorientierte Beiträge als auch reflektierte Praxisbeiträge. Die Autor*innen des Sammelwerks teilen eine positive Grundeinstellung zu den Möglichkeiten, die digitale Werkzeuge und Medien für den Mathematikunterricht entfalten können, wägen aber jeweils aus mathematikdidaktischer Perspektive kritisch ab, wann, wo und wie ein Einsatz einen fachinhaltlichen und fachdidaktischen Mehrwert ermöglichen kann.
Neue Wege im mathematischen Unterricht: Auf den Spuren Mathilde Vaertings (Paderborner Beiträge zur Didaktik der Mathematik)
by Gerda WerthMathilde Vaerting (1884 – 1977) möchte den Mathematikunterricht ihrer Zeit radikal verändern und mit ihrer Methode der „Selbständigkeitsprobe“ einen Weg aufzeigen, Schüler*innen durch geeignete kognitive Anregung zu eigenständigem Denken zu motivieren. Ihre „Neue[n] Wege im mathematischen Unterricht“ aus 1921 schließen dabei explizit Mädchen ein, obwohl diesen, nachdem sie seit 1908 endlich auch Mathematik an Schulen lernen durften, die Begabung für dieses Fach vielfach abgesprochen wurde. Das Buch arbeitet ihre didaktischen Konzepte sowie die schulischen und curricularen Rahmenbedingungen auf, auch in Bezug auf die Lehrerinnenbildung der damaligen Zeit.
Neural Approaches to Dynamics of Signal Exchanges (Smart Innovation, Systems and Technologies #151)
by Anna Esposito Marcos Faundez-Zanuy Francesco Carlo Morabito Eros PaseroThe book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human–computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotion modulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human–computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.
Neural Approximations for Optimal Control and Decision (Communications and Control Engineering)
by Riccardo Zoppoli Marcello Sanguineti Giorgio Gnecco Thomas ParisiniNeural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.
Neural Computing for Advanced Applications: 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part I (Communications in Computer and Information Science #2181)
by Haijun Zhang Xianxian Li Tianyong Hao Weizhi Meng Zhou Wu Qian HeThis book constitutes the refereed proceedings of the 5th International Conference on Neural Computing for Advanced Applications, NCAA 2024, held in Guilin, China, during July 5–7, 2024. The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections: Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Computer vision, and their engineering applications. Part II: Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks. Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications; Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security.
Neural Computing for Advanced Applications: 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part II (Communications in Computer and Information Science #2182)
by Haijun Zhang Xianxian Li Tianyong Hao Weizhi Meng Zhou Wu Qian HeThis book constitutes the refereed proceedings of the 5th International Conference on Neural Computing for Advanced Applications, NCAA 2024, held in Guilin, China, during July 5–7, 2024. The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections: Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Computer vision, and their engineering applications. Part II: Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks. Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications; Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security.