Data Analytics for Intelligent Transportation Systems
Data Analytics for Intelligent Transportation Systems

Author: Mashrur Chowdhury

Publisher: Elsevier

Published: 2024-11-02

Total Pages: 572

ISBN-13: 0443138796

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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics

StarBriefs 2001
StarBriefs 2001

Author:

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 805

ISBN-13: 940114351X

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This compilation probably looks like one of the craziest things a human being could spend his or her time on. Yet nobody would wonder at someone taking a short walk every day - after twenty five years that person would have covered a surprisingly long distance. This is exactly the story behind this list, which appeared first as a few pages within the directory StarGuides (or whatever name it had at that time) and as a distinct sister publication since 1990. The idea behind this dictionary is to offer astronomers and related space scientists practical assistance in decoding the numerous abbreviations, acronyms, contractions and symbols which they might encounter in all aspects of the vast range of their professional activities, including traveling. Perhaps it is a bit paradoxical, but if scientists quickly grasp the meaning of an acronym solely in their own specific discipline, they will probably encounter more difficulties when dealing with adjacent fields. It is for this purpose that this dictionary might be most often used. Scientists might also refer to this compilation in order to avoid identifying a project by an acronym which already has too many meanings or confused definitions.

StarBriefs Plus
StarBriefs Plus

Author: Andre Heck

Publisher: Springer Science & Business Media

Published: 2004-03-31

Total Pages: 1102

ISBN-13: 0306486032

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With about 200,000 entries, StarBriefs Plus represents the most comprehensive and accurately validated collection of abbreviations, acronyms, contractions and symbols within astronomy, related space sciences and other related fields. As such, this invaluable reference source (and its companion volume, StarGuides Plus) should be on the reference shelf of every library, organization or individual with any interest in these areas. Besides astronomy and associated space sciences, related fields such as aeronautics, aeronomy, astronautics, atmospheric sciences, chemistry, communications, computer sciences, data processing, education, electronics, engineering, energetics, environment, geodesy, geophysics, information handling, management, mathematics, meteorology, optics, physics, remote sensing, and so on, are also covered when justified. Terms in common use and/or of general interest have also been included where appropriate.

Hydroinformatics
Hydroinformatics

Author: Praveen Kumar

Publisher: CRC Press

Published: 2005-11-02

Total Pages: 662

ISBN-13: 1000611582

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Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approache

ITEI 2022
ITEI 2022

Author: Azah Kamilah Draman

Publisher: European Alliance for Innovation

Published: 2023-06-14

Total Pages: 1125

ISBN-13: 1631904035

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This volume contains the papers presented at the 2nd International Conference on Internet Technology and Educational Informatization (ITEI 2022), held during December 23th-25th, 2023 in Harbin, China. Today, the rapid development in Internet and education technology poses new challenges to scientists that requires innovative approach and methodology or eventually new educational theories. Internet technology is the prerequisite for educational informatization to be realized. The specific Conference topics include: Artificial Intelligence in Education; User Interfaces and Human Computer Interaction; Distance Education for Computers; Computer Application in Social and Behavioural Sciences; Pedagogy Enhancement with E-Learning; Accessibility to Disabled Users; etc. Also, the Conference is intended to give students and research groups the opportunity to learn more about Internet Technology and Educational Informatization as an important tool in their applications and development. There were about 150 participants from countries all over the world attended the conference and they attended the presentations by scholars representing both institutes and academia. The scientific program consisted of in total 5 talks as well as many oral and poster presentations. Five talks were invited keynote speakers given by Pun Chi Man (University of Macau, China), Yongjun Feng (Shaanxi Normal University, China), Philippe Fournier-Viger (Shenzhen University, China), Rafidah Md Noor (Universiti Malaya, Malaysia) and Khe Foom HEW (The University of Hong Kong, China). Titles included Privacy Protection in Video Live Streaming, Research of Education Metaverse and Metaverse Education——Take E-Course Explosion as the Center, Advances and Challenges for the Discovery of Interesting Patterns in Network and Educational Data, The Rise of Mobile and Internet Technology in Higher Education and Remote Learning, and Engaging Students in Online Learning Activities Using Chatbots.

Cognitive Information Systems in Management Sciences
Cognitive Information Systems in Management Sciences

Author: Lidia Dominika Ogiela

Publisher: Morgan Kaufmann

Published: 2017-02-28

Total Pages: 150

ISBN-13: 0128038756

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Cognitive Information Systems in Management Sciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering. Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval. Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Discusses the basic concepts and principles in cognitive information systems, providing 'real-world' implementation examples - Explains the relationship between intelligent computer data analysis and how to utilize computational intelligent approaches to enhance information retrieval - Provides a unified structured approach that can be used to develop information flow in cognitive management systems

Integrated Approach to Environmental Data Management Systems
Integrated Approach to Environmental Data Management Systems

Author: Nilgun B. Harmanciogammalu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 550

ISBN-13: 9401156166

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An integrated approach to environmental data management is necessitated by the complexity of the environmental problems that need to be addresses, coupled with the interdisciplinary approach that needs to be adopted to solve them. Agenda 21 of the Rio Environmental Conference mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been taken in this direction. The key word that defines the framework of the present book is `integration'. The book establishes the basics of integrated approaches and covers environmental data management systems within that framework, covering all aspects of data management, from objectives and constraints, design of data collection networks, statistical and physical sampling, remote sensing and GIS, databases, reliability of data, data analysis, and the transformation of data into information.

Relational Database Systems
Relational Database Systems

Author: Joachim W. Schmidt

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 631

ISBN-13: 3642688470

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After a long period of research, development, test and trial, relational database management systems are at last being marketed in force. The feedback from early installations of these systems is overwhelmingly positive. The most frequent comment by users is that productivity has been increased by a significant factor (from 5 to 20 times what it was using previous approaches). Another comment is that, in many cases, end users can now handle their own problems by direct use of the system instead of using application programmers as mediators between them and the system. As the reputation of relational systems for ease of use and enhanced productivity has grown, there has been a strong temptation for vendors of other approaches to exploit the label "relational" somewhat indiscriminately. In some cases the label is being misapplied to a whole data system; in others it is being misapplied to an interface. It is therefore worth developing criteria which database management systems (DBMSs) should have in order to be called "relational". The Relational Task Group (RTG) of the American National Standards Institute (ANSI) undertook such an effort by developing a characterization of RDBMSs and analyzing fourteen DBMSs per this characterization. The result of this work is presented in this book. The conclusions of the RTG are in agreement with my view that a DBMS should not be called "relational" unless it satisfies at least the following conditions: 1. All information in the database is represented as values in tables.

DAMA-DMBOK
DAMA-DMBOK

Author: Dama International

Publisher:

Published: 2017

Total Pages: 628

ISBN-13: 9781634622349

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Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.