Digital Noise Monitoring Of Defect Origin

This book explores the initial stage of the origin of the defect taking into account technical, biological, and other features of several technologies. These technologies allow the defect monitoring at the beginning of the defect origin to be performed at the expense of extracting information from the noise. This book appeals to a wide audience focused on solving numerous problems.

This book examines noise-monitoring technologies and tools for registering the threshold of development of the latent period of the transition of a facility or product into an emergency state and controlling the dynamics of this development. It also describes how the use of noise technology can improve the accuracy of the results of traditional methods employed in the analysis of noisy signals. Dr. Aliev analyzes the varieties and stages of the generation and development of defects preceding accidents of technical facilities and devices. He shows that registration of the beginning of the latent period in the transition to an emergency state, based on the results of traditional data analysis technologies used in monitoring systems, is sometimes belated due to the impossibility of analyzing the noise correlated with the useful signal. The volume further includes algorithms and technologies for computing estimates of correlation functions, spectral characteristics, and other characteristics of noise. Aimed at professionals and students from a range of fields, including facility and product design engineering, computer science, computational mathematics, control and management systems, geophysics, construction, energy, and medicine, the book provides numerous examples of noise-control intelligent systems. These include implementations at oil and gas production facilities, drilling rigs, and offshore fixed platforms, as well as within transportation, aviation, power engineering, seismology and medicine.

The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.

This book reports on advanced theories and cutting-edge applications in the field of soft computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4th World Conference on Soft Computing, held May 25-27, 2014, in Berkeley. The book covers a wealth of key topics in soft computing, focusing on both fundamental aspects and applications. The former include fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation and neural networks, while the latter include soft computing in data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling. By providing readers with a timely, authoritative view on the field, and by discussing thought-provoking developments and challenges, the book will foster new research directions in the diverse areas of soft computing.

This book is devoted to diverse aspects of earthquake researches, especially to new achievements in seismicity that involves geosciences, assessment, and mitigation. Chapters contain advanced materials of detailed engineering investigations, which can help more clearly appreciate, predict, and manage different earthquake processes. Different research themes for diverse areas in the world are developed here, highlighting new methods of studies that lead to new results and models, which could be helpful for the earthquake risk. The presented and developed themes mainly concern wave's characterization and decomposition, recent seismic activity, assessment-mitigation, and engineering techniques. The book provides the state of the art on recent progress in earthquake engineering and management. The obtained results show a scientific progress that has an international scope and, consequently, should open perspectives to other still unresolved interesting aspects.

Robust Nano-Computing focuses on various issues of robust nano-computing, defect-tolerance design for nano-technology at different design abstraction levels. It addresses both redundancy- and configuration-based methods as well as fault detecting techniques through the development of accurate computation models and tools. The contents present an insightful view of the ongoing researches on nano-electronic devices, circuits, architectures, and design methods, as well as provide promising directions for future research.

Bandwidth Extension of Speech Signals describes the theory and methods for quality enhancement of clean speech signals and distorted speech signals such as those that have undergone a band limitation, for instance, in a telephone network. Problems and the respective solutions are discussed for the different approaches. The different approaches are evaluated and a real-time implementation of the most promising approach is presented. The book includes topics related to speech coding, pattern- / speech recognition, speech enhancement, statistics and digital signal processing in general.

A large international conference in Intelligent Automation and Computer Engineering was held in Hong Kong, March 18-20, 2009, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2009). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Automation and Computer Engineering contains 37 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, decision supporting systems, automated planning, automation systems, control engineering, systems identification, modelling and simulation, communication systems, signal processing, and industrial applications. Intelligent Automation and Computer Engineering offers the state of the art of tremendous advances in intelligent automation and computer engineering and also serves as an excellent reference text for researchers and graduate students, working on intelligent automation and computer engineering.