Localization in Underwater Sensor Networks, Yan Jing, Zhao Haiyan, Meng Yuan

Автор: Radha Poovendran; Cliff Wang; Sumit Roy
Название: Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks
ISBN: 1441940960 ISBN-13(EAN): 9781441940964
Издательство: Springer
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Цена: 191550.00 T
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Описание: This book presents the latest research results in the area of secure localization for both wireless mobile ad hoc networks and wireless sensor networks. It is suitable as text for computer science courses in wireless systems and security.

Автор: Selmic Rastko R., Phoha Vir V., Serwadda Abdul
Название: Wireless Sensor Networks: Security, Coverage, and Localization
ISBN: 3319835815 ISBN-13(EAN): 9783319835815
Издательство: Springer
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Цена: 69870.00 T
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Описание: This book presents a comprehensive overview of wireless sensor networks (WSNs) with an emphasis on security, coverage, and localization. It offers a structural treatment of WSN building blocks including hardware and protocol architectures and also provides a systems-level view of how WSNs operate.

Автор: Jose A. Castellanos; Juan D. Tard?s
Название: Mobile Robot Localization and Map Building
ISBN: 1461369827 ISBN-13(EAN): 9781461369820
Издательство: Springer
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Цена: 130610.00 T
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Описание: A rough classification of mobile robots can be considered: on the one hand, mobile robots oriented to human-made indoor environments; on the other hand, mobile robots oriented to unstructured outdoor environments, which could include flying oriented robots, space-oriented robots and underwater robots.

Автор: Shibiao Wan,Man-Wai Mak
Название: Machine Learning for Protein Subcellular Localization Prediction
ISBN: 1501510487 ISBN-13(EAN): 9781501510489
Издательство: Walter de Gruyter
Цена: 86720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction.

Автор: Yue Yufeng, Wang Danwei
Название: Collaborative Perception, Localization and Mapping for Autonomous Systems
ISBN: 9811588597 ISBN-13(EAN): 9789811588594
Издательство: Springer
Цена: 121110.00 T
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Описание: This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization-collaborative mapping for collaborative robot systems.

Автор: Chan
Название: Introduction to Wireless Localization - With iPhone SDK Examples
ISBN: 1118298519 ISBN-13(EAN): 9781118298510
Издательство: Wiley
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Цена: 92870.00 T
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Описание: This handbook provides a comprehensive overview of the entire landscape of both outdoor and indoor wireless positioning, guiding readers step by step through the implementation of wireless positioning applications on the iPhone. Explanations of fundamental positioning techniques are given throughout, along with many programming examples.

Автор: Wang Xiaochun, Wang Xiali, Wilkes Don Mitchell
Название: Machine Learning-Based Natural Scene Recognition for Mobile Robot Localization in an Unknown Environment
ISBN: 9811392196 ISBN-13(EAN): 9789811392191
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book advances research on mobile robot localization in unknown environments by focusing on machine-learning-based natural scene recognition.

Автор: Yue Yufeng, Wang Danwei
Название: Collaborative Perception, Localization and Mapping for Autonomous Systems
ISBN: 9811588627 ISBN-13(EAN): 9789811588624
Издательство: Springer
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Цена: 121110.00 T
Наличие на складе: Поставка под заказ.
Описание: This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization-collaborative mapping for collaborative robot systems.

Автор: Rosario Aragues; Carlos Sag??s; Youcef Mezouar
Название: Parallel and Distributed Map Merging and Localization
ISBN: 3319258842 ISBN-13(EAN): 9783319258843
Издательство: Springer
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Цена: 46570.00 T
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Описание:

Introduction

Автор: Amir R. Zamir et al
Название: Large-Scale Visual Geo-Localization
ISBN: 331925779X ISBN-13(EAN): 9783319257792
Издательство: Springer
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Цена: 111790.00 T
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Описание: Thistimely and authoritative volume explores the bidirectional relationship betweenimages and locations. The text presents a comprehensive review of the state ofthe art in large-scale visual geo-localization, and discusses the emergingtrends in this area. Valuable insights are supplied by a pre-eminent selectionof experts in the field, into a varied range of real-world applications ofgeo-localization. Topics and features: discusses the latest methods to exploitinternet-scale image databases for devising geographically rich features andgeo-localizing query images at different scales; investigates geo-localizationtechniques that are built upon high-level and semantic cues; describes methodsthat perform precise localization by geometrically aligning the query imageagainst a 3D model; reviews techniques that accomplish image understandingassisted by the geo-location, as well as several approaches for geo-localizationunder practical, real-world settings.

Автор: Ghorpade Sheetal N., Zennaro Marco, Chaudhari Bharat S.
Название: Optimal Localization of Internet of Things Nodes
ISBN: 303088094X ISBN-13(EAN): 9783030880941
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book is a practical resource for designing Internet of Things (IoT) networks and implementing IoT applications from the localization perspective. With the emergence of IoT, machine to machine communication, Industrial IoT, and other societal applications, many applications require knowledge of the exact location of mobile IoT nodes in real-time. As the IoT nodes have computational and energy limitations, it is a crucial research challenge to optimize the network's performance with the highest localization accuracy. Many researchers are working towards such localization problems. However, there is no single book available for the detailed study on IoT node localization. This book provides one-stop multidisciplinary solutions for IoT node localization, design requirements, challenges, constraints, available techniques, comparison, related applications, and future directions. Special features included are theory supported by algorithmic development, treatment of optimization techniques, and applications.

Автор: Aziz El-Banna Ahmad A., Wu Kaishun
Название: Machine Learning Modeling for Iout Networks: Internet of Underwater Things
ISBN: 3030685667 ISBN-13(EAN): 9783030685669
Издательство: Springer
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT).