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Traditions of Analysis and Synthesis (Archimedes #73)
by William R. Newman Jutta SchickoreThis open access book provides a fresh perspective on analysis and synthesis across several areas of inquiry. The two operations form a primary basis of modern laboratory science, ranging from the spectrographic analysis used in practically every scientific discipline today, to the naming of entire disciplines, such as synthetic organic chemistry. Despite their acknowledged significance, however, the history of analysis, synthesis, and their relations over the longue durée is poorly understood. Several volumes have been devoted to the history of analysis and synthesis in the sense that premodern mathematicians and philosophers used the terms, but very little work has been done on the tradition of material decomposition and recomposition and its relationship to mathematics and philosophy. The present volume brings together scholars in the history of medicine, mathematics, philosophy, chemistry, and alchemy to explore the ways in which these multiple disciplines understood and used analysis and synthesis as experimental, justificatory, and conceptual tools.
Traffic and Granular Flow '13
by Mohcine Chraibi Maik Boltes Andreas Schadschneider Armin SeyfriedThis book continues the biannual series of conference proceedings, which has become a classical reference resource in traffic and granular research alike, and addresses the latest developments at the intersection of physics, engineering and computational science. These involve complex systems, in which multiple simple agents, be they vehicles or particles, give rise to surprising and fascinating phenomena. The contributions collected in these proceedings cover several research fields, all of which deal with transport. Topics include highway, pedestrian and internet traffic; granular matter; biological transport; transport networks; data acquisition; data analysis and technological applications. Different perspectives, i. e. , modeling, simulations, experiments, and phenomenological observations are considered.
Traffic and Granular Flow '17
by Samer H. HamdarThis book presents 57 peer-reviewed papers from the 12th Conference on Traffic and Granular Flow (TGF) held in Washington, DC, in July 2017. It offers a unique synthesis of the latest scientific findings made by researchers from different countries, institutions and disciplines.The research fields covered range from physics, computer science and engineering and they may be all grouped under the topic of "Traffic and Granular Flow". The main theme of the Conference was: "From Molecular Interactions to Internet of Things and Smart Cities: The Role of Technology in the Understanding and the Evolution of Particle Dynamics".
Traffic and Granular Flow 2019 (Springer Proceedings in Physics #252)
by Iker Zuriguel Angel Garcimartín Raúl Cruz HidalgoThis book gathers contributions on a variety of flowing collective systems. While primarily focusing on pedestrian dynamics, they also reflect the latest developments in areas such as vehicular traffic and granular flows and address related emerging topics such as self-propelled particles, data transport, swarm behavior, intercellular transport, and collective dynamics of biological systems. Combining fundamental research and practical applications in the various fields discussed, the book offers a valuable asset for researchers and practitioners alike.
Traffic and Random Processes
by Raffaele MauroThis book deals in a basic and systematic manner with the fundamentals of random function theory and looks at some aspects related to arrival, vehicle headway and operational speed processes at the same time. The work serves as a useful practical and educational tool and aims at providing stimulus and motivation to investigate issues of such a strong applicative interest. It has a clearly discursive and concise structure, in which numerical examples are given to clarify the applications of the suggested theoretical model. Some statistical characterizations are fully developed in order to illustrate the peculiarities of specific modeling approaches; finally, there is a useful bibliography for in-depth thematic analysis.
The Traffic Assignment Problem: Models and Methods
by Michael PatrikssonThis monograph provides both a unified account of the development of models and methods for the problem of estimating equilibrium traffic flows in urban areas and a survey of the scope and limitations of present traffic models. The development is described and analyzed by the use of the powerful instruments of nonlinear optimization and mathematical programming within the field of operations research. The first part is devoted to mathematical models for the analysis of transportation network equilibria; the second deals with methods for traffic equilibrium problems. This title will interest readers wishing to extend their knowledge of equilibrium modeling and analysis and of the foundations of efficient optimization methods adapted for the solution of large-scale models. In addition to its value to researchers, the treatment is suitable for advanced graduate courses in transportation, operations research, and quantitative economics.
Traffic Data Collection and its Standardization
by Jaume Barceló Masao KuwaharaThis book contains twelve selected papers presented at the International Workshop on Traffic Data Collection and its Standardization held on September 8-9th 2008 in Barcelona. Organized and chaired by Barcelo and Kuwahara, the workshop was intended to examine the purposes and quality of data and how it is collected and used in traffic analysis, with the overall intent of improving and standardizing the practice. Traffic data is the cornerstone to everything from the most classical traffic control analysis to the most advanced real-time control and management implementing modern Intelligent Transportation Systems (ITS) applications. These applications are primarily based on the availability of traffic data supplied by a Data Collection System which, equipped with more or less sophisticated technologies, provides measurements on the fundamental traffic variables, ideally with the required level of temporal aggregation, and perhaps, when the technology allows it, additional measurements on other variables of interest, depending on the type of application in which they will be used. The applications are in turn supported by models, and in fact the primary use of the data is to provide the input to traffic models whose quality depends on the quality, consistency, robustness, completion and other characteristics of the data.
Traffic Flow Dynamics: Data, Models and Simulation
by Arne Kesting Christian Thiemann Martin TreiberThis textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.
Traffic Simulation and Data: Validation Methods and Applications
by Winnie Daamen Christine Buisson Serge P. HoogendoornA single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project-a European Cost Action project that incorpo
Tragwerke 1: Theorie und Berechnungsmethoden statisch bestimmter Stabtragwerke (Springer-Lehrbuch)
by Wilfried B. Krätzig Reinhard Harte Konstantin Meskouris Udo WittekDas Standardlehrwerk beschäftigt sich mit der Ermittlung der Kraft- und Verformungszustände von allgemeinen, statisch bestimmten Stabtragwerken sowie von wichtigen Tragwerkstypen. Dabei vereint es die Grundlagen der technischen Mechanik mit der konzeptionellen, tragwerksspezifischen Problemlösung. Dargestellt werden die fundamentalen Abstraktions- und Arbeitsmethoden, die wesentlichen analytischen Berechnungsmethoden werden an typischen Beispielen erläutert. Die Neuauflage berücksichtigt aktuelle Normen und neue Bezeichnungen.
Tragwerke 1
by Konstantin Meskouris Reinhard Harte Udo Wittek Wilfried B. KrätzigDas Standardlehrwerk beschäftigt sich mit der Ermittlung der Kraft- und Verformungszustände von allgemeinen, statisch bestimmten Stabtragwerken sowie von wichtigen Tragwerkstypen. Dabei vereint es die Grundlagen der technischen Mechanik mit der konzeptionellen, tragwerksspezifischen Problemlösung. Dargestellt werden die fundamentalen Abstraktions- und Arbeitsmethoden, die wesentlichen analytischen Berechnungsmethoden werden an typischen Beispielen erläutert. Die Neuauflage berücksichtigt aktuelle Normen und neue Bezeichnungen.
Trails in Kinetic Theory: Foundational Aspects and Numerical Methods (SEMA SIMAI Springer Series #25)
by Giacomo Albi Sara Merino-Aceituno Alessia Nota Mattia ZanellaIn recent decades, kinetic theory - originally developed as a field of mathematical physics - has emerged as one of the most prominent fields of modern mathematics. In recent years, there has been an explosion of applications of kinetic theory to other areas of research, such as biology and social sciences. This book collects lecture notes and recent advances in the field of kinetic theory of lecturers and speakers of the School “Trails in Kinetic Theory: Foundational Aspects and Numerical Methods”, hosted at Hausdorff Institute for Mathematics (HIM) of Bonn, Germany, 2019, during the Junior Trimester Program “Kinetic Theory”. Focusing on fundamental questions in both theoretical and numerical aspects, it also presents a broad view of related problems in socioeconomic sciences, pedestrian dynamics and traffic flow management.
Trails in Modern Theoretical and Mathematical Physics: A Volume in Tribute to Giovanni Morchio
by Andrea Cintio Alessandro MichelangeliThis book celebrates the life and work of the late Giovanni Morchio (1944–2021). It features scientific and anecdotal contributions written by his former colleagues, co-authors, and students, as well as senior scientists who were active witnesses to the dramatic advances in physics and in mathematics that took place during his 50-year-long career. The volume begins with a biographical introduction, detailing Giovanni Morchio’s life and his role as a physicist, mathematician, teacher, and scientist. The core of the book covers a vast spectrum of ideas, reflecting Dr Morchio’s scientific interests. Each chapter develops a specific topic of modern research, ranging from quantum mechanics and quantum field theory to additional themes such as the connection between general relativity and Newtonian gravitation. Every contribution provides a historical retrospective, a survey of advances, an outlook of future perspectives and challenges, and an updated bibliography. The last part collects the authors’ recollections of their professional and personal interactions with Dr Morchio, in recognition of his deep achievements, his exceptional pedagogical qualities, and his praiseworthy social and pro bono commitment. Authored by physicists of international calibre covering a broad range of subjects, the book will be a valuable reference for researchers and students of theoretical and mathematical physics.
Train Your Brain: Challenging Yet Elementary Mathematics (Textbooks in Mathematics)
by Bogumil Kaminski Pawel PralatThe book contains selected problems aimed for high school students that are interested in competing in math competitions or simply for people of all ages and backgrounds who want to expand their knowledge and to challenge themselves with interesting questions. The problems are mostly selected from an extensive collection of problems from Polish Mathematical Olympics and many appear here in English for the first time. Each chapter consists of many sections devoted to a collection of related topics. Each of these sections starts with a problem followed by the necessary background (definitions and theorems used), careful and detailed solution, and discussion of possible generalizations.
Training Data for Machine Learning: Human Supervision from Annotation to Data Science
by Anthony SarkisYour training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process. In this hands-on guide, author Anthony Sarkis--lead engineer for the Diffgram AI training data software--shows technical professionals, managers, and subject matter experts how to work with and scale training data, while illuminating the human side of supervising machines. Engineering leaders, data engineers, and data science professionals alike will gain a solid understanding of the concepts, tools, and processes they need to succeed with training data.With this book, you'll learn how to:Work effectively with training data including schemas, raw data, and annotationsTransform your work, team, or organization to be more AI/ML data-centricClearly explain training data concepts to other staff, team members, and stakeholdersDesign, deploy, and ship training data for production-grade AI applicationsRecognize and correct new training-data-based failure modes such as data biasConfidently use automation to more effectively create training dataSuccessfully maintain, operate, and improve training data systems of record
Training Students to Extract Value from Big Data: Summary of a Workshop
by Committee on Applied Theoretical StatisticsAs the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now that the amount of information exceeds a human's ability to examine, let alone absorb, it. Data sets are increasingly complex, and this potentially increases the problems associated with such concerns as missing information and other quality concerns, data heterogeneity, and differing data formats. The nation's ability to make use of data depends heavily on the availability of a workforce that is properly trained and ready to tackle high-need areas. Training students to be capable in exploiting big data requires experience with statistical analysis, machine learning, and computational infrastructure that permits the real problems associated with massive data to be revealed and, ultimately, addressed. Analysis of big data requires cross-disciplinary skills, including the ability to make modeling decisions while balancing trade-offs between optimization and approximation, all while being attentive to useful metrics and system robustness. To develop those skills in students, it is important to identify whom to teach, that is, the educational background, experience, and characteristics of a prospective data-science student; what to teach, that is, the technical and practical content that should be taught to the student; and how to teach, that is, the structure and organization of a data-science program. "Training Students to Extract Value from Big Data" summarizes a workshop convened in April 2014 by the National Research Council's Committee on Applied and Theoretical Statistics to explore how best to train students to use big data. The workshop explored the need for training and curricula and coursework that should be included. One impetus for the workshop was the current fragmented view of what is meant by analysis of big data, data analytics, or data science. New graduate programs are introduced regularly, and they have their own notions of what is meant by those terms and, most important, of what students need to know to be proficient in data-intensive work. This report provides a variety of perspectives about those elements and about their integration into courses and curricula.
A Trajectory Description of Quantum Processes. II. Applications: A Bohmian Perspective (Lecture Notes in Physics #831)
by Ángel S. Sanz Salvador Miret-ArtésTrajectory-based formalisms are an intuitively appealing way of describing quantum processes because they allow the use of "classical" concepts. Beginning as an introductory level suitable for students, this two-volume monograph presents (1) the fundamentals and (2) the applications of the trajectory description of basic quantum processes. This second volume is focussed on simple and basic applications of quantum processes such as interference and diffraction of wave packets, tunneling, diffusion and bound-state and scattering problems. The corresponding analysis is carried out within the Bohmian framework. By stressing its interpretational aspects, the book leads the reader to an alternative and complementary way to better understand the underlying quantum dynamics.
Trajectory Optimization and Guidance Methods for Mars Entry
by Shuang Li Xu Liu Xiu-qiang Jiang Yu-ming PengThis book systematically investigates the Mars entry problem from the perspectives of deterministic optimization, uncertainty optimization, and guidance. Began with a detailed review of the robotic missions and human-scaled exploration plans to Mars, theories or concepts of optimal control, uncertainty quantification, robust optimization, model predictive control, sequential convex programming, and computational guidance are subsequently introduced. Correspondingly, this book presents a series of trajectory planning and guidance algorithms to improve the robustness, reliability, and safety of the Mars missions. Because the Mars entry problem is studied using advanced mathematics, including probability theory, optimization theory, and cybernetics, thus the book is primarily designed as a textbook for graduate students in aerospace engineering, aeronautics, and astronautics departments. Engineers and researchers may also use this book as a reference or tutorial to help with the modeling and simulation of the Mars entry problem due to its thorough simulations and analyses.
Trans-Atlantic Migration: The Paradoxes of Exile (African Studies)
by Toyin Falola Niyi AfolabiThis book argues that a new cadre of African immigrants are finding themselves in the New World—mostly well educated, high-income earning professionals, and belonging to the category termed "African brain drain," they constitute the antinomy of those Africans who were forcibly removed from Africa during slavery. Along with this sense of freedom and voluntary migration comes a paradox—that of living in two worlds and negotiating the pleasures and agonies that come with living in exile. For the new African immigrant, the primary factor motivating migration is the desire for a better life whether fleeing political persecution, economic crisis, refugee crisis, or a combination thereof. The overall consequences include displacement, alienation, and the not so enchanting reality of exile. In its encompassing structure and multivalent perspectives, Trans-Atlantic Migration sets in motion the shifting theoretical and pragmatic verity that the new African diaspora and transatlantic migrations are paths laden with paradoxes that only time, negotiations, compromises, and sense of identities can ultimately resolve.
Trans-Planckian Physics and Inflation: An Introduction to Renormalizable and Background-Free Quantum Gravity (Fundamental Theories of Physics #26)
by Ken-ji HamadaThis book comprehensively describes recent developments in the research of renormalizable quantum gravity, focusing on its application to physics beyond the Planck scale, particularly in inflationary cosmology. It challenges the notion that the Planck scale is an impassable barrier, addressing issues such as singularity, renormalizability, unitarity, time, primordial fluctuations, and the cosmological constant. To describe the trans-Planckian world, it is necessary to break away from the view of graviton scattering and carry out the quantization of spacetime itself. Utilizing conformal field theory techniques to achieve background freedom, the book presents a renormalizable quantum theory of gravity that overcomes the Planck-scale wall. Historically, discussions on renormalizability of gravity declined due to ghost issues. However, ghosts are essential in gravitational systems where the total Hamiltonian/momentum vanishes strictly, for aspects such as cosmic entropy, the formation of the universe, and gravitational objects. Quantum gravity approaches known in recent years often break diffeomorphism invariance or sacrifice renormalizability to eliminate ghosts. In contrast, this book presents a novel attempt which maintains that these are guiding principles even in the trans-Planckian domain, but constrains ghosts to be unphysical. The renormalizability implies a new scale that leads to a quantum gravity inflation scenario with a spacetime phase transition as the Big Bang. This book offers fresh insights into the trans-Planckian physics for graduate students and researchers.
Transactions on Computational Science XL (Lecture Notes in Computer Science #13850)
by Marina Gavrilova C. J. Kenneth Tan Mark Coates Yaoping Hu Henry Leung Arash Mohammadi Konstantinos N. Plataniotis Helder Rodrigues de OliveiraThe LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods.This, the 40th issue of the Transactions on Computational Science, is a special issue, comprised of seven papers, and devoted to the developing and novel techniques for Trustworthy Technologies for Autonomous Human-Machine Systems. They include emerging and innovative applications of computer security-based applications, as well as theoretical contributions that are relevant to Trustworthy Technologies for Autonomous Human-Machine Systems.
Transactions on Engineering Technologies: International MultiConference of Engineers and Computer Scientists 2021
by Sio-Iong Ao Oscar Castillo Hideki Katagiri Alan Chan Mahyar A. AmouzegarThis book contains a selection of revised and extended research articles written by prominent researchers participating in the international conference on Advances in Engineering Technologies and Physical Science, held in Hong Kong, October 20–22, 2021. This book demonstrates revised and extended research articles written by prominent researchers participating in the conference. Topics covered include engineering physics, communications systems, control theory, automation, engineering mathematics, scientific computing, electrical engineering, and industrial applications. The book offers the state of art of tremendous advances in engineering technologies and physical science and applications and also serves as an excellent reference work for researchers and graduate students working with/on engineering technologies and physical science and applications.
Transactions on Engineering Technologies: Proceedings of World Congress on Engineering 2021 (Lecture Notes in Electrical Engineering #919)
by Sio-Iong Ao Len GelmanThis book contains a selection of revised and extended research articles written by prominent researchers participating in the international conference on Advances in Engineering Technologies and Physical Science is held in London, UK, during July 7–9, 2021. This book demonstrates revised and extended research articles written by prominent researchers participating in the conference. Topics covered include mechanical engineering, bioengineering, Internet engineering, image engineering, wireless networks, knowledge engineering, manufacturing engineering, and industrial applications. The book offers the state of the art of tremendous advances in engineering technologies and physical science and applications and also serves as an excellent reference work for researchers and graduate students working with/on engineering technologies and physical science and applications.
Transactions on Engineering Technologies: World Congress on Engineering 2018 (Lecture Notes In Electrical Engineering Ser. #275)
by Sio-Iong Ao Len Gelman Haeng Kon KimThis volume contains a selection of revised and extended research articles written by prominent researchers participating in The 26th World Congress on Engineering (WCE 2018) which was held in London, U.K., July 4-6, 2018. Topics covered include engineering mathematics, electrical engineering, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications. With contributions carefully chosen to represent the most cutting-edge research presented during the conference, the book contains some of the state-of-the-art in engineering technologies and the physical sciences and their applications, and serves as a useful reference for researchers and graduate students working in these fields.
Transactions on Engineering Technologies: World Congress on Engineering 2019 (Lecture Notes In Electrical Engineering Ser. #275)
by Sio-Iong Ao Len Gelman Haeng Kon KimThis book contains a selection of research articles written by prominent researchers participating in The 27th World Congress on Engineering (WCE 2019) which was held in London, UK, July 3–5, 2019. Topics covered include engineering mathematics, electrical engineering, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications. With contributions carefully chosen to represent the most cutting-edge research presented during the conference, the book contains some of the state of the art in engineering technologies and the physical sciences and their applications and serves as a useful reference for researchers and graduate students working in these fields.