Data-Driven Fault Detection and Reasoning for Industrial Monitoring, Wang Jing, Zhou Jinglin, Chen Xiaolu
Автор: Karimipour Hadis, Derakhshan Farnaz Название: Ai-Enabled Threat Detection and Security Analysis for Industrial Iot ISBN: 3030766128 ISBN-13(EAN): 9783030766122 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence for Threat Detection and Analysis in Industrial IoT: Applications and Challenges.- Complementing IIoT Services through AI: Feasibility and Suitability.- Data Security and Privacy in Industrial IoT.- Blockchain Applications in the Industrial Internet of Things.- Application of Deep Learning on IoT-enabled Smart Grid Monitoring.- Cyber Security of Smart Manufacturing Execution Systems: A Bibliometric Analysis.- The Role of Machine Learning in IIoT Through FPGAs.- Deep Representation Learning for Cyber-Attack Detection in Industrial IoT.- Classification and Intelligent Mining of Anomalies in Industrial IoT.- A Snapshot Ensemble Deep Neural Network Model for Attack Detection in Industrial Internet of Things.- Privacy Preserving Federated Learning Solution for Security of Industrial Cyber Physical Systems.- A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System.- A Recurrent Attention Model for Cyber Attack Classification.
Автор: Robert Bembenik; ?ukasz Skonieczny; Grzegorz Prota Название: Intelligent Methods and Big Data in Industrial Applications ISBN: 3030084922 ISBN-13(EAN): 9783030084929 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.
Автор: Bembenik Название: Intelligent Methods and Big Data in Industrial Applications ISBN: 3319776037 ISBN-13(EAN): 9783319776033 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.
Автор: Serge Abiteboul, Gilles Dowek Название: The Age of Algorithms ISBN: 1108484573 ISBN-13(EAN): 9781108484572 Издательство: Cambridge Academ Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithms have transformed our society, upsetting the concepts of work, property, government, even humanity. We rejoice that they make life easier, but fear that they will enslave us. Going beyond visions of good vs evil, this book takes a new look at our time, the age of algorithms. Algorithms will be what we want them to be: it`s up to us.
Автор: Serge Abiteboul, Gilles Dowek Название: The Age of Algorithms ISBN: 1108745423 ISBN-13(EAN): 9781108745420 Издательство: Cambridge Academ Рейтинг: Цена: 2691.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Algorithms have transformed our society, upsetting the concepts of work, property, government, even humanity. We rejoice that they make life easier, but fear that they will enslave us. Going beyond visions of good vs evil, this book takes a new look at our time, the age of algorithms. Algorithms will be what we want them to be: it`s up to us.
Автор: Luigi Fortuna; Salvatore Graziani; Alessandro Rizz Название: Soft Sensors for Monitoring and Control of Industrial Processes ISBN: 1849966087 ISBN-13(EAN): 9781849966085 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.
Автор: Liu Zhidan, Wu Kaishun Название: Mobility Data-Driven Urban Traffic Monitoring ISBN: 981162240X ISBN-13(EAN): 9789811622403 Издательство: Springer Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring.
This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-based urban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale.
This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.
Описание: This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions. However the developed embedded wireless condition monitoring system leads itself very well for applications on any power transmission equipment in which the loads and speeds are not constant, and access is restricted. As such this provides significant scope for future development. Three significant achievements are presented in this thesis. First, the development of a condition monitoring algorithm based on vibration analysis of an industrial robot for fault detection and diagnosis. The combined use of a statistical control chart with time-domain signal analysis for detecting a fault via an arm-mounted wireless processor system represents the first stage of fault detection. Second, the design and development of a sophisticated embedded microprocessor base station for online implementation of the intelligent condition monitoring algorithm, and third, the implementation of a discrete wavelet transform, using an artificial neural network, with statistical feature extraction for robot fault diagnosis in which the vibration signals are first decomposed into eight levels of wavelet coefficients.
Описание: This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques.
Описание: This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.
Описание: This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies.
Описание: This thesis introduces a successfully designed and commissioned intelligent health monitoring system, specifically for use on any industrial robot, which is able to predict the onset of faults in the joints of the geared transmissions.
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