Introduction to Intelligent Surveillance, Wei Qi Yan

Автор: Gautam Srivastava, Uttam Ghosh, Jerry Chun-Wei Lin
Название: Security and Risk Analysis for Intelligent Edge Computing
ISBN: 3031281497 ISBN-13(EAN): 9783031281495
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease. Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity. This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well.

Автор: Ming Li; Paul M.B. Vit?nyi
Название: An Introduction to Kolmogorov Complexity and Its Applications
ISBN: 1489984453 ISBN-13(EAN): 9781489984456
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications.

Автор: Omar Javed; Mubarak Shah
Название: Automated Multi-Camera Surveillance
ISBN: 1441946268 ISBN-13(EAN): 9781441946263
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book addresses monitoring of people and vehicles and detection of threatening objects and events in a variety of scenarios. It discusses and proposes techniques for the development of an automated multi-camera surveillance system.

Автор: Uwe M. Borghoff; Johann H. Schlichter
Название: Computer-Supported Cooperative Work
ISBN: 3642086314 ISBN-13(EAN): 9783642086311
Издательство: Springer
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Цена: 11872.00 р.
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Описание: A detailed introduction to interdisciplinary application area of distributed systems, namely the computer support of individuals trying to solve a problem in cooperation with each other but not necessarily having identical work places or working times.

Автор: Igual, Laura, Segu?, Santi
Название: Introduction to data science.
ISBN: 3319500163 ISBN-13(EAN): 9783319500164
Издательство: Springer
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Цена: 6841.00 р.
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Описание: The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis.

Автор: Panagiotis Karampelas; Thirimachos Bourlai
Название: Surveillance in Action
ISBN: 3319886185 ISBN-13(EAN): 9783319886183
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book addresses surveillance in action-related applications, and presents novel research on military, civil and cyber surveillance from an international team of experts. The first part of the book, Surveillance of Human Features, reviews surveillance systems that use biometric technologies. It discusses various novel approaches to areas including gait recognition, face-based physiology-assisted recognition, face recognition in the visible and infrared bands, and cross-spectral iris recognition.The second part of the book, Surveillance for Security and Defense, discusses the ethical issues raised by the use of surveillance systems in the name of combatting terrorism and ensuring security. It presents different generations of satellite surveillance systems and discusses the requirements for real-time satellite surveillance in military contexts. In addition, it explores the new standards of surveillance using unmanned air vehicles and drones, proposes surveillance techniques for detecting stealth aircrafts and drones, and highlights key techniques for maritime border surveillance, bio-warfare and bio-terrorism detection.The last part of the book, Cyber Surveillance, provides a review of data hiding techniques that are used to hinder electronic surveillance. It subsequently presents methods for collecting and analyzing information from social media sites and discusses techniques for detecting internal and external threats posed by various individuals (such as spammers, cyber-criminals, suspicious users or extremists in general). The book concludes by examining how high-performance computing environments can be exploited by malicious users, and what surveillance methods need to be put in place to protect these valuable infrastructures. The book is primarily intended for military and law enforcement personnel who use surveillance-related technologies, as well as researchers, Master’s and Ph.D. students who are interested in learning about the latest advances in military, civilian and cyber surveillance.

Автор: Fabio Fagnani; Paolo Frasca
Название: Introduction to Averaging Dynamics over Networks
ISBN: 3319885324 ISBN-13(EAN): 9783319885322
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent systems. The book presents all the fundamental results on linear averaging dynamics, proposing a unified and updated viewpoint of many models and convergence results scattered in the literature.Starting from the classical evolution of the powers of a fixed stochastic matrix, the text then considers more general evolutions of products of a sequence of stochastic matrices, either deterministic or randomized. The theory needed for a full understanding of the models is constructed without assuming any knowledge of Markov chains or Perron–Frobenius theory. Jointly with their analysis of the convergence of averaging dynamics, the authors derive the properties of stochastic matrices. These properties are related to the topological structure of the associated graph, which, in the book’s perspective, represents the communication between agents. Special attention is paid to how these properties scale as the network grows in size.Finally, the understanding of stochastic matrices is applied to the study of other problems in multi-agent coordination: averaging with stubborn agents and estimation from relative measurements. The dynamics described in the book find application in the study of opinion dynamics in social networks, of information fusion in sensor networks, and of the collective motion of animal groups and teams of unmanned vehicles. Introduction to Averaging Dynamics over Networks will be of material interest to researchers in systems and control studying coordinated or distributed control, networked systems or multiagent systems and to graduate students pursuing courses in these areas.

Автор: Rowe Neil C., Rrushi Julian
Название: Introduction to Cyberdeception
ISBN: 3319822888 ISBN-13(EAN): 9783319822884
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book is an introduction to both offensive and defensive techniques of cyberdeception. Special attention is devoted to cyberdeception in industrial control systems and within operating systems.

Автор: Bressoud Thomas, White David
Название: Introduction to Data Systems: Building from Python
ISBN: 3030543730 ISBN-13(EAN): 9783030543730
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Part I Foundation.- 1. Introduction.- 2. File Systems and File Processing.- 3. Python Native Data Structures.- 4. Regular Expressions.- Part II Data Systems: The Data Models.- 5. Data Systems Models.- 6. Tabular Model: Structure and Formats.- 7. Tabular Model: Access Operations and pandas.- 8. Tabular Model: Advanced Operations and pandas.- 9. Tabular Model: Transformations and Constraints.- 10. Relational Model: Structure and Architecture.- 11. Relational Operations: Single Table.- 12. Relational Operations: Multiple Tables.- 13. Relational Database Programming.- 14. Relational Model: Design, Constraints, and Creation.- 15. Hierarchical Model: Structure and Formats.- 16. Hierarchical Model: Operations and Programming.- 17. Hierarchical Model: Constraints.- Part III Data Systems: The Data Sources.- 18. Overview of Data Systems Sources.- 19. Networking and Client-Server.- 20. The HyperText Transfer Protocol.- 21. Interlude: Client Data Acquisition.- 22. Web Scraping.- 23. RESTful Application Programming Interfaces.- 24. Authentication and Authorization.

Автор: Daniel Stadler, Jurgen Beyerer, Raphael Hagmanns
Название: Pattern Recognition: Introduction, Features, Classifiers and Principles
ISBN: 311133919X ISBN-13(EAN): 9783111339191
Издательство: Walter de Gruyter
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Цена: 14867.00 р.
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Описание:

The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book.

Автор: Annalisa Appice; Anna Ciampi; Fabio Fumarola; Dona
Название: Data Mining Techniques in Sensor Networks
ISBN: 1447154533 ISBN-13(EAN): 9781447154532
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data.

Автор: Marco Alexander Treiber
Название: An Introduction to Object Recognition
ISBN: 1447125789 ISBN-13(EAN): 9781447125785
Издательство: Springer
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Цена: 14673.00 р.
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Описание: This text/reference provides a comprehensive introduction to object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class.