International Conference on Reliable Systems Engineering (ICoRSE) - 2022, Cioboat?
Автор: Cioboată Daniela Doina Название: International Conference on Reliable Systems Engineering (Icorse) - 2021 ISBN: 3030833674 ISBN-13(EAN): 9783030833671 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This current book comprises state-of-the-art research results in the field of mechatronics and reliable systems engineering, gathering papers from almost all continents. Since the chapters represent contributions of research scholars who work in both governmental financed institutions and in the business environment, one could infer that they certainly reflect a clear picture of the developments in these cutting-edge sciences. Moreover, the contributions are not limited to mechatronics, as nowadays it has grown to embed all smart technical sciences. Medical applications based on nano-technologies – seemingly the most promising of all newly developed branches – could not be left out of this work. It is our belief that the book is useful to both students, who want to learn from the best scholars (as most of the authors hold a Ph.D. degree and are well-known professors), and to researchers in all areas of smart engineering, who will definitely find here hot topics meant to inspire them in their line of work.
Автор: Faisal Saeed; Nadhmi Gazem; Srikanta Patnaik; Ali Название: Recent Trends in Information and Communication Technology ISBN: 3319594265 ISBN-13(EAN): 9783319594262 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents 94 papers from the 2nd International Conference of Reliable Information and Communication Technology 2017 (IRICT 2017), held in Johor, Malaysia, on April 23-24, 2017.
Автор: Faisal Saeed; Nadhmi Gazem; Fathey Mohammed; Abdel Название: Recent Trends in Data Science and Soft Computing ISBN: 3319990063 ISBN-13(EAN): 9783319990064 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Поставка под заказ. Описание: This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.
Автор: Alain Cardon, Mhamed Itmi Название: New Autonomous Systems ISBN: 1848219350 ISBN-13(EAN): 9781848219359 Издательство: Wiley Рейтинг: Цена: 146730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The idea of autonomous systems that are able to make choices according to properties which allow them to experience, apprehend and assess their environment is becoming a reality. These systems are capable of auto-configuration and self-organization.
Автор: David Israel Gonz?lez Aguirre Название: Visual Perception for Humanoid Robots ISBN: 331997839X ISBN-13(EAN): 9783319978390 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: What & where is it? To answer these questions using a sensor-to-representation bridge, coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: • Active Sensing: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. • Feature Extraction & Recognition: Parameter-free, edge extraction methods based on structural graphs enable the representation of geometric primitives effectively and efficiently. This is done by eccentricity segmentation providing excellent recognition even on noisy & low-resolution images. Stereoscopic vision, Euclidean metric and graph-shape descriptors are shown to be powerful mechanisms for difficult recognition tasks. • Global Self-Localization & Depth Uncertainty Learning: Simultaneous feature matching for global localization and 6D self-pose estimation are addressed by a novel geometric and probabilistic concept using intersection of Gaussian spheres. The path from intuition to the closed-form optimal solution determining the robot location is described, including a supervised learning method for uncertainty depth modeling based on extensive ground-truth training data from a motion capture system.The methods and experiments are presented in self-contained chapters with comparisons and the state of the art. The algorithms were implemented and empirically evaluated on two humanoid robots: ARMAR III-A & B. The excellent robustness, performance and derived results received an award at the IEEE conference on humanoid robots and the contributions have been utilized for numerous visual manipulation tasks with demonstration at distinguished venues such as ICRA, CeBIT, IAS, and Automatica.
Автор: Souvik Basu; Siuli Roy; Sipra Das Bit Название: Reliable Post Disaster Services over Smartphone Based DTN ISBN: 9811365725 ISBN-13(EAN): 9789811365720 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Поставка под заказ. Описание:
This book proposes a framework and strategies for reliable end-to-end post-disaster services using smartphone-based delay-tolerant networks, which can operate even in the absence of conventional network connectivity. It explores various aspects of this challenge, ranging from accurate need assessment, to timely need accumulation, efficient resource allocation, and reliable data dissemination.
The book offers insightful reading for all technologists and researchers working in the domain of ICT-based disaster management in developing countries, and will help them grasp the challenges involved in providing post-disaster services in an extremely difficult network scenario, while also offering possible solutions. The book will also benefit disaster management authorities, government agencies, NGOs and other stakeholders, helping them enhance their preparedness through the intelligent use of wireless technologies coupled with smart devices.
Автор: David Israel Gonz?lez Aguirre Название: Visual Perception for Humanoid Robots ISBN: 3030074153 ISBN-13(EAN): 9783030074159 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: What & where is it? To answer these questions using a sensor-to-representation bridge, coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: • Active Sensing: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. • Feature Extraction & Recognition: Parameter-free, edge extraction methods based on structural graphs enable the representation of geometric primitives effectively and efficiently. This is done by eccentricity segmentation providing excellent recognition even on noisy & low-resolution images. Stereoscopic vision, Euclidean metric and graph-shape descriptors are shown to be powerful mechanisms for difficult recognition tasks. • Global Self-Localization & Depth Uncertainty Learning: Simultaneous feature matching for global localization and 6D self-pose estimation are addressed by a novel geometric and probabilistic concept using intersection of Gaussian spheres. The path from intuition to the closed-form optimal solution determining the robot location is described, including a supervised learning method for uncertainty depth modeling based on extensive ground-truth training data from a motion capture system.The methods and experiments are presented in self-contained chapters with comparisons and the state of the art. The algorithms were implemented and empirically evaluated on two humanoid robots: ARMAR III-A & B. The excellent robustness, performance and derived results received an award at the IEEE conference on humanoid robots and the contributions have been utilized for numerous visual manipulation tasks with demonstration at distinguished venues such as ICRA, CeBIT, IAS, and Automatica.
Автор: Robert Gallager Название: Information Theory and Reliable Communication ISBN: 3211811451 ISBN-13(EAN): 9783211811450 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Rothman Denis Название: Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps ISBN: 1800208138 ISBN-13(EAN): 9781800208131 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In today`s era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI`s pitfalls and potential by helping you build the ability to leverage machine learning with Python to visualize and integrate AI.
Автор: Lech Bukowski Название: Reliable, Secure and Resilient Logistics Networks ISBN: 3030008495 ISBN-13(EAN): 9783030008499 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book synthesizes the current state of knowledge on logistics infrastructures and process modeling, especially for processes that are exposed to changing and uncertain environments. It then builds on this knowledge to present a new concept of dependable product delivery assurance. In order to quantitatively assess dependability, a service continuity oriented approach as well as an imperfect knowledge based concept of risk are employed. This approach is based on the methodology of service engineering and is closely related to the idea of the resilient enterprise, as well as the concept of disruption-tolerant operation. The practical advantages of this concept are subsequently illustrated in three sample applications: a modified FMECA method, an expert system with fuzzy reasoning, and a simulation agent-based model of logistic network resilience.The book will benefit a broad readership, including: researchers, especially in systems science, management science and operations research; professionals, especially managers; project managers and analysts; and undergraduate, postgraduate and MBA students in engineering.
Автор: Langner Ralph Название: Robust Control System Networks: How to Achieve Reliable Control After Stuxnet ISBN: 1606503006 ISBN-13(EAN): 9781606503003 Издательство: Alibris(Ingram) Цена: 137940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: From the researcher who was one of the first to identify and analyze the infamous industrial control system malware "Stuxnet," comes a book that takes a new, radical approach to making Industrial control systems safe from such cyber attacks: design the controls systems themselves to be "robust." Other security experts advocate risk management, implementing more firewalls and carefully managing passwords and access. Not so this book: those measures, while necessary, can still be circumvented. Instead, this book shows in clear, concise detail how a system that has been set up with an eye toward quality design in the first place is much more likely to remain secure and less vulnerable to hacking, sabotage or malicious control.
It blends several well-established concepts and methods from control theory, systems theory, cybernetics and quality engineering to create the ideal protected system. The book's maxim is taken from the famous quality engineer William Edwards Deming, "If I had to reduce my message to management to just a few words, I'd say it all has to do with reducing variation." Highlights include: - An overview of the problem of "cyber fragility" in industrial control systemsHow to make an industrial control system "robust," including principal design objectives and overall strategic planningWhy using the methods of quality engineering like the Taguchi method, SOP and UML will help to design more "armored" industrial control systems
Автор: R. Cole Matt Название: Hands-On Machine Learning with C# ISBN: 1788994949 ISBN-13(EAN): 9781788994941 Издательство: Неизвестно Рейтинг: Цена: 36770.00 T Наличие на складе: Нет в наличии. Описание: This book develops an intuitive understanding of various concepts, the techniques of machine learning, and various available machine learning tools through which users can add intelligent features such as image and motion detection, Bayes intuition, deep learning and belief, and so on to C# .NET applications.
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