Zhidan liu (13 Ergebnisse)

Sprache: Englisch
Verlag: Springer 2021
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Sprache: Englisch
Verlag: Springer-Nature New York Inc 2021
Serie: SpringerBriefs in Computer Science, Buch 318 von 322. Buch 318 von 322 - SpringerBriefs in Computer Science
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Paperback. Zustand: Brand New. 80 pages. 9.25x6.10x0.17 inches. In Stock.

Sprache: Englisch
Verlag: Springer 2021
Serie: SpringerBriefs in Computer Science, Buch 318 von 322. Buch 318 von 322 - SpringerBriefs in Computer Science
- Softcover
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Sprache: Englisch
Verlag: Springer 2021
Serie: SpringerBriefs in Computer Science, Buch 318 von 322. Buch 318 von 322 - SpringerBriefs in Computer Science
- Softcover
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Taschenbuch. Zustand: Neu. Mobility Data-Driven Urban Traffic Monitoring | Zhidan Liu (u. a.) | Taschenbuch | xi | Englisch | 2021 | Springer | EAN 9789811622403 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Sprache: Englisch
Verlag: Springer, Springer 2021
Serie: SpringerBriefs in Computer Science, Buch 318 von 322. Buch 318 von 322 - SpringerBriefs in Computer Science
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data proce…ssing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring.This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-basedurban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale.This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.

Sprache: Englisch
Verlag: Springer Nature Singapore 2021
Serie: SpringerBriefs in Computer Science, Buch 318 von 322. Buch 318 von 322 - SpringerBriefs in Computer Science
- Softcover
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, da…ta processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-basedurban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale.This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.

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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Gebunden. Zustand: New. KlappentextrnrnWaste biomass includes agricultural residues, livestock wastes, municipal wastes and industrial organic wastes. It should be utilised or otherwise, it will cause the pollution of water, soil and even the atmosphere. Gas biofuels h.

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Zustand: New. Num Pages: 230 pages. BIC Classification: THFG; THX; TQSR. Category: (P) Professional & Vocational. Dimension: 260 x 180. Weight in Grams: 588. . 2015. Hardcover. . . . . Books ship from the US and Ireland.

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Buch. Zustand: Neu. Neuware - Waste biomass includes agricultural residues, livestock wastes, municipal wastes and industrial organic wastes. It should be utilised or otherwise, it will cause the pollution of water, soil and even the atmosphere. Gas biofuels have attracted growing attention as a renewable and clean energy carrie…r. Gas biofuels include biogas, biohydrogen and its mixture i.e. biohythane, which can be produced via anaerobic fermentation or other processes from waste biomass. This book focuses on the principles of gas biofuels in terms of types of biofuels, biomass species, and reactor configuration and production pathway. A number of books focus on the production of biogas or biohydrogen alone. In comparison, this book emphasizes the interactions and common knowledge of both. In addition, the potential of new technologies, such as microbial electrochemical technologies, and two-stage fermentation on gas biofuel production are highlighted and specifically discussed based on the authors' research basis. This book provides a state-of-the-art technological insight into the production of gas biofuels from waste biomass. Specifically, this book consists of three parts. In Part I, the principles for gas biofuels production from waste biomass, including biogas production (Chapter 1) and biohydrogen production (Chapter 2). Part II focuses on the technical advances on gas biofuels production. Pre-treatment of biomass was firstly introduced in Chapter 3, whereas the advances of biogas production from high-solid wastes were discussed in Chapter 4 and Chapter 5. In comparison, biohydrogen production is reviewed not only through dark fermentation (Chapter 6) but also emerging microbial electrochemical technology (Chapter 7). The co-production of biohydrogen and biomethane is reviewed in Chapter 8. In addition to the utilisation of carbon and hydrogen stored in biomass, nutrients recycling through algae technology is discussed in Chapter 9. Part III discusses the scale-up and industrialization of biofuels. An industrial case is introduced to analyse the bottlenecks and perspectives for development of gas biofuels.

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Zustand: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9781634831925.