Smart Electromechanical Systems: Recognition, Identification, Modeling, Measurement Systems, Sensors, Gorodetskiy Andrey E., Tarasova Irina L.
Автор: Gorodetskiy Andrey E., Kurbanov Vugar G. Название: Smart Electromechanical Systems: The Central Nervous System ISBN: 3319851276 ISBN-13(EAN): 9783319851273 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes approaches to solving the problems of developing the central nervous system of robots (CNSR) based on smart electromechanical systems (SEMS) modules, principles of construction of the various modules of the central nervous system and variants of mathematical software CNSR in control systems for intelligent robots.
Автор: Andrey E. Gorodetskiy Название: Smart Electromechanical Systems ISBN: 3319275453 ISBN-13(EAN): 9783319275451 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book chapters are dedicated to the following points of interest: - methods of design of SEMS modules and intelligent robots based onthem; - methods of optimization of SEMS control systems based on mathematicalprogramming methods in ordinal scale and generalized mathematical programming;
Автор: Andrey E. Gorodetskiy; Irina L. Tarasova Название: Smart Electromechanical Systems ISBN: 3319997580 ISBN-13(EAN): 9783319997582 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents the latest achievements in the theory and practice of SEMS Group interaction by scientists from the Russian Academy of Sciences. It also discusses the development of methods for the design and simulation of SEMS Group interaction based on the principles of safety, flexibility and adaptability in behavior and intelligence and parallelism in information processing, computation and control.
Recently, the task has been to ensure the functioning of robots within the framework of collective collaboration, so that they function efficiently, reliably and safely in real time.
The topics covered include, but are not limited to, the following:
- the planning behavior of the SEMS group;
- methods and principles of designing of automatic control systems;
- mathematical and computer modeling group interaction;
- safety, flexibility and adaptability of the SEMS Group;
- information-measuring soft- and hardware.
This book is intended for students, scientists and engineers specializing in the field of smart electromechanical systems and robotics.
Автор: Gorodetskiy Andrey E., Tarasova Irina L. Название: Smart Electromechanical Systems: Behavioral Decision Making ISBN: 3030681742 ISBN-13(EAN): 9783030681746 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest achievements of Russian scientists in the field of theory and practice of decision-making in SEMS, taking into account the information received from the sensors of its central nervous system (CNS).
Автор: Lyshevski, Sergey E. Название: Electromechanical systems and devices ISBN: 1420069721 ISBN-13(EAN): 9781420069723 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Integrates comprehensive studies and designs of electromechanical systems and motion devices as well as demonstrates the application of theoretical results in the analysis and design of electromechanical systems. This book covers topics, such as electromechanical motion devices, and power electronics and sensors.
Автор: Crowder Richard Название: Electric Drives and Electromechanical Systems ISBN: 0081028849 ISBN-13(EAN): 9780081028841 Издательство: Elsevier Science Рейтинг: Цена: 12961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Electric Drives and Electromechanical Devices: Applications and Control, Second Edition, presents a unified approach to the design and application of modern drive system. It explores problems involved in assembling complete, modern electric drive systems involving mechanical, electrical, and electronic elements. This book provides a global overview of design, specification applications, important design information, and methodologies. This new edition has been restructured to present a seamless, logical discussion on a wide range of topical problems relating to the design and specification of the complete motor-drive system. It is organised to establish immediate solutions to specific application problem. Subsidiary issues that have a considerable impact on the overall performance and reliability, including environmental protection and costs, energy efficiency, and cyber security, are also considered.
Presents a comprehensive consideration of electromechanical systems with insights into the complete drive system, including required sensors and mechanical components
Features in-depth discussion of control schemes, particularly focusing on practical operation
Includes extensive references to modern application domains and real-world case studies, such as electric vehicles
Considers the cyber aspects of drives, including networking and security
Автор: Panda Rameswar, Roy-Chowdhury Amit K. Название: Person Re-Identification with Limited Supervision ISBN: 163639227X ISBN-13(EAN): 9781636392271 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8870.00 р. Наличие на складе: Нет в наличии.
Описание:
Person re-identification is the problem of associating observations of targets in different non-overlapping cameras. Most of the existing learning-based methods have resulted in improved performance on standard re-identification benchmarks, but at the cost of time-consuming and tediously labeled data. Motivated by this, learning person re-identification models with limited to no supervision has drawn a great deal of attention in recent years.
In this book, we provide an overview of some of the literature in person re-identification, and then move on to focus on some specific problems in the context of person re-identification with limited supervision in multi-camera environments. We expect this to lead to interesting problems for researchers to consider in the future, beyond the conventional fully supervised setup that has been the framework for a lot of work in person re-identification.
Chapter 1 starts with an overview of the problems in person re-identification and the major research directions. We provide an overview of the prior works that align most closely with the limited supervision theme of this book. Chapter 2 demonstrates how global camera network constraints in the form of consistency can be utilized for improving the accuracy of camera pair-wise person re-identification models and also selecting a minimal subset of image pairs for labeling without compromising accuracy. Chapter 3 presents two methods that hold the potential for developing highly scalable systems for video person re-identification with limited supervision. In the one-shot setting where only one tracklet per identity is labeled, the objective is to utilize this small labeled set along with a larger unlabeled set of tracklets to obtain a re-identification model. Another setting is completely unsupervised without requiring any identity labels. The temporal consistency in the videos allows us to infer about matching objects across the cameras with higher confidence, even with limited to no supervision. Chapter 4 investigates person re-identification in dynamic camera networks. Specifically, we consider a novel problem that has received very little attention in the community but is critically important for many applications where a new camera is added to an existing group observing a set of targets. We propose two possible solutions for on-boarding new camera(s) dynamically to an existing network using transfer learning with limited additional supervision. Finally, Chapter 5 concludes the book by highlighting the major directions for future research.
Автор: Andrey E. Gorodetskiy; Irina L. Tarasova Название: Smart Electromechanical Systems ISBN: 3030076318 ISBN-13(EAN): 9783030076313 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents the latest achievements in the theory and practice of SEMS Group interaction by scientists from the Russian Academy of Sciences. It also discusses the development of methods for the design and simulation of SEMS Group interaction based on the principles of safety, flexibility and adaptability in behavior and intelligence and parallelism in information processing, computation and control.
Recently, the task has been to ensure the functioning of robots within the framework of collective collaboration, so that they function efficiently, reliably and safely in real time.
The topics covered include, but are not limited to, the following:
- the planning behavior of the SEMS group;
- methods and principles of designing of automatic control systems;
- mathematical and computer modeling group interaction;
- safety, flexibility and adaptability of the SEMS Group;
- information-measuring soft- and hardware.
This book is intended for students, scientists and engineers specializing in the field of smart electromechanical systems and robotics.
Автор: Gorodetskiy Andrey E., Tarasova Irina L. Название: Smart Electromechanical Systems: Behavioral Decision Making ISBN: 3030681718 ISBN-13(EAN): 9783030681715 Издательство: Springer Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest achievements of Russian scientists in the field of theory and practice of decision-making in SEMS, taking into account the information received from the sensors of its central nervous system (CNS).
Автор: Andrey E. Gorodetskiy; Irina L. Tarasova Название: Smart Electromechanical Systems ISBN: 3030327094 ISBN-13(EAN): 9783030327095 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the latest achievements of Russian scientists regarding the theory and practice of situational control of the SEMS group. It also discusses the development of methods and algorithms for interaction of the SEMS group in situational control, based on the principles of security, flexibility, and adaptability in behavior, as well as parallelism in information processing, computing, and control.Recently, the task of ensuring the functioning of robots in the framework of collective cooperation has become relevant, and the use of the principles of situational management of the SEMS group makes it possible to ensure the efficiency, reliability and safety of real-time operation.The topics covered include, but are not limited to the following:Problems and principles of situation controlMethods and algorithms of situational controlInformation and measuring support of situational control systemsSimulation of situation controlThis book is intended for students, scientists, and engineers specializing in the fields of smart electromechanical systems and robotics.
Автор: Gorodetskiy Andrey E. Название: Smart Electromechanical Systems ISBN: 331980166X ISBN-13(EAN): 9783319801667 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book chapters are dedicated to the following points of interest: - methods of design of SEMS modules and intelligent robots based onthem; - methods of optimization of SEMS control systems based on mathematicalprogramming methods in ordinal scale and generalized mathematical programming;
Автор: Andrey E. Gorodetskiy; Vugar G. Kurbanov Название: Smart Electromechanical Systems: The Central Nervous System ISBN: 3319533266 ISBN-13(EAN): 9783319533261 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes approaches to solving the problems of developing the central nervous system of robots (CNSR) based on smart electromechanical systems (SEMS) modules, principles of construction of the various modules of the central nervous system and variants of mathematical software CNSR in control systems for intelligent robots.
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