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1. |
Record Nr. |
UNINA990009940700403321 |
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Autore |
Ovchinnikov, Sergei |
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Titolo |
Measure, integral, derivative : a course on Lebesgue's theory / Sergei Ovchinnikov |
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Pubbl/distr/stampa |
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New York : Springer, 2013 |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910789871903321 |
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Autore |
Eshel Gidon <1958-> |
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Titolo |
Spatiotemporal data analysis / / Gidon Eshel |
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Pubbl/distr/stampa |
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Princeton : , : Princeton University Press, , [2012] |
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©2012 |
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ISBN |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (336 p.) |
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Classificazione |
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Disciplina |
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Soggetti |
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Spatial analysis (Statistics) |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
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"A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the |
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mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams"-- |
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3. |
Record Nr. |
UNINA9910760248603321 |
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Autore |
Naganathan Archana |
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Titolo |
Computing in Intelligent Transportation Systems / / edited by Archana Naganathan, Niresh Jayarajan, Mamun Bin Ibne Reaz |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (115 pages) |
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Collana |
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EAI/Springer Innovations in Communication and Computing, , 2522-8609 |
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Altri autori (Persone) |
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JayarajanNiresh |
Bin Ibne ReazMamun |
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Disciplina |
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Soggetti |
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Telecommunication |
Computer networks |
Automotive engineering |
Transportation engineering |
Traffic engineering |
Communications Engineering, Networks |
Computer Communication Networks |
Automotive Engineering |
Transportation Technology and Traffic Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- An overview of computing in Vehicular systems -- Smart transportation system: Challenges and opportunities -- Design and Implementation Procedure for an Advanced Driver Assistance |
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System Based on an Hardware in loop simulation -- Modelling, Simulation, and Management Strategy of an Electric Vehicle Charging Station Based on Microgrid system -- Safety challenges of Electric & Automated vehicles -- Experimental analysis of smart computing technique for Autonomous Vehicle systems -- Assessment and prospects of increasing technological trends in the development of transportation systems -- Machine learning models for data analytics in Automotive application -- Conclusion. |
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Sommario/riassunto |
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This book presents various application areas of computing in the automotive sector. The authors explain how computing enhances the performance of vehicles, covering the applications of computing in smart transportation and the future scope. The authors focus on computing for vehicle safety in conjunction with the latest technologies in Internet of Things (IoT). The book provides a holistic approach to computing in an inter-disciplinary and unified view. Topics covered include driverless automated navigation systems, smart transportation, self-learning systems, in-vehicle intelligent systems, and off-road vehicle diagnosis and maintenance, among others. The authors include simulated examples and case studies for better understanding of the technologies and applications. The book is intended for a wide range of readers from students to researchers and industry practitioners and is a useful resource for those planning to pursue research in the area of computing and autonomous driving vehicles. Features an interdisciplinary approach to smart transportation systems, including intelligent vehicles, safety systems; Includes simulated examples and case studies for better understanding of presented technologies and their applications; Relevant for audience in a disciplines including automotive, electrical engineering, electronics, and computer science. . |
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