Download or read book Complexity of Seismic Time Series written by Tamaz Chelidze and published by Elsevier. This book was released on 2018-05-21 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complexity of Seismic Time Series: Measurement and Application applies the tools of nonlinear dynamics to seismic analysis, allowing for the revelation of new details in micro-seismicity, new perspectives in seismic noise, and new tools for prediction of seismic events. The book summarizes both advances and applications in the field, thus meeting the needs of both fundamental and practical seismology. Merging the needs of the classical field and the very modern terms of complexity science, this book covers theory and its application to advanced nonlinear time series tools to investigate Earth's vibrations, making it a valuable tool for seismologists, hazard managers and engineers. - Covers the topic of Earth's vibrations involving many different aspects of theoretical and observational seismology - Identifies applications of advanced nonlinear time series tools for the characterization of these Earth's signals - Merges the needs of geophysics with the applications of complexity theory - Describes different methodologies to analyze problems, not only in the context of geosciences, but also those associated with different complex systems across disciplines

Download or read book Time Series Analysis in Seismology written by Alejandro Ramírez-Rojas and published by Elsevier. This book was released on 2019-08-02 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time Series Analysis in Seismology: Practical Applications provides technical assistance and coverage of available methods to professionals working in the field of seismology. Beginning with a thorough review of open problems in geophysics, including tectonic plate dynamics, localization of solitons, and forecasting, the book goes on to describe the various types of time series or punctual processes obtained from those systems. Additionally, the book describes a variety of methods and techniques relating to seismology and includes a discussion of future developments and improvements. Time Series Analysis in Seismology offers a concise presentation of the most recent advances in the analysis of geophysical data, particularly with regard to seismology, making it a valuable tool for researchers and students working in seismology and geophysics. Presents the necessary tools for time series analysis as it relates to seismology in a compact and consistent manner Includes a discussion of technical resources that can be applied to time series data analysis across multiple disciplines Describes the methods and techniques available for solving problems related to the analysis of complex data sets Provides exercises at the end of each chapter to enhance comprehension

Download or read book Natural Time Analysis The New View of Time written by Panayiotis Varotsos and published by Springer Science & Business Media. This book was released on 2011-08-14 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the theory and the applications of a new time domain, termed natural time domain, that has been forwarded by the authors almost a decade ago (P.A. Varotsos, N.V. Sarlis and E.S. Skordas, Practica of Athens Academy 76, 294-321, 2001; Physical Review E 66, 011902, 2002). In particular, it has been found that novel dynamical features hidden behind time series in complex systems can emerge upon analyzing them in this new time domain, which conforms to the desire to reduce uncertainty and extract signal information as much as possible. The analysis in natural time enables the study of the dynamical evolution of a complex system and identifies when the system enters a critical stage. Hence, natural time plays a key role in predicting impending catastrophic events in general. Relevant examples of data analysis in this new time domain have been published during the last decade in a large variety of fields, e.g., Earth Sciences, Biology and Physics. The book explains in detail a series of such examples including the identification of the sudden cardiac death risk in Cardiology, the recognition of electric signals that precede earthquakes, the determination of the time of an impending major mainshock in Seismology, and the analysis of the avalanches of the penetration of magnetic flux into thin films of type II superconductors in Condensed Matter Physics. In general, this book is concerned with the time-series analysis of signals emitted from complex systems by means of the new time domain and provides advanced students and research workers in diverse fields with a sound grounding in the fundamentals of current research work on detecting (long-range) correlations in complex time series. Furthermore, the modern techniques of Statistical Physics in time series analysis, for example Hurst analysis, the detrended fluctuation analysis, the wavelet transform etc., are presented along with their advantages when natural time domain is employed.

Download or read book Complexity Aftershock Sequences and Uncertainty in Earthquake Statistics written by Sarah Touati and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Earthquake statistics is a growing field of research with direct application to probabilistic seismic hazard evaluation. The earthquake process is a complex spatio-temporal phenomenon, and has been thought to be an example of the self-organised criticality (SOC) paradigm, in which events occur as cascades on a wide range of sizes, each determined by fine details of the rupture process. As a consequence, deterministic prediction of specific event sizes, locations, and times may well continue to remain elusive. However, probabilistic forecasting, based on statistical patterns of occurrence, is a much more realistic goal at present, and is being actively explored and tested in global initiatives. This thesis focuses on the temporal statistics of earthquake populations, exploring the uncertainties in various commonly-used procedures for characterising seismicity and explaining the origins of these uncertainties. Unlike many other SOC systems, earthquakes cluster in time and space through aftershock triggering. A key point in the thesis is to show that the earthquake inter-event time distribution is fundamentally bimodal: it is a superposition of a gamma component from correlated (co-triggered) events and an exponential component from independent events. Volcano-tectonic earthquakes at Italian and Hawaiian volcanoes exhibit a similar bimodality, which in this case, may arise as the sum of contributions from accelerating and decelerating rates of events preceding and succeeding volcanic activity. Many authors, motivated by universality in the scaling laws of critical point systems, have sought to demonstrate a universal data collapse in the form of a gamma distribution, but I show how this gamma form is instead an emergent property of the crossover between the two components. The relative size of these two components depends on how the data is selected, so there is no universal form. The mean earthquake rate--or, equivalently, inter-event time--for a given region takes time to converge to an accurate value, and it is important to characterise this sampling uncertainty. As a result of temporal clustering and non-independence of events, the convergence is found to be much slower than the Gaussian rate of the central limit theorem. The rate of this convergence varies systematically with the spatial extent of the region under consideration: the larger the region, the closer to Gaussian convergence. This can be understood in terms of the increasing independence of the inter-event times with increasing region size as aftershock sequences overlap in time to a greater extent. On the other hand, within this high-overlap regime, a maximum likelihood inversion of parameters for an epidemic-type statistical model suffers from lower accuracy and a systematic bias; specifically, the background rate is overestimated. This is because the effect of temporal overlapping is to mask the correlations and make the time series look more like a Poisson process of independent events. This is an important result with practical relevance to studies using inversions, for example, to infer temporal variations in background rate for time-dependent hazard estimation.

Download or read book Natural Time Analysis The New View of Time Part II written by Panayiotis Varotsos and published by Springer Nature. This book was released on 2023-06-17 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph contains the advances achieved based on the content of our previous monograph published in 2011. In other words, the present monograph can be considered as "Part II" containing new results accomplished in the last decade. These were published in several reputed international journals based on the concept of natural time discussed in detail in our earlier monograph. The analysis in natural time enables the study of the dynamical evolution of a complex system and identifieswhen the system enters a critical stage. A wide range of applications are discussed, such as the cases of environmental extreme events-disasters and sudden cardiac death. More light is shed on changes of natural time features before major earthquakes like the 2011 M9 Tohoku earthquake in Japan and the 2017 M8.2 Chiapas earthquake in Mexico. Hence, natural time analysis plays a key role in predicting impending catastrophic events in general with a primary audienceResearchers and Academics in Physics, Earth Sciences, and Medicine.

Download or read book Imaging for Detection and Identification written by Jim Byrnes and published by Springer Science & Business Media. This book was released on 2007-05-16 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together many of the world's leading experts in the development of new imaging methodologies to detect, identify, and counter security threats to society. It covers three broadly defined but interrelated areas: the mathematics and computer science of automatic detection and identification; image processing techniques for radar and sonar; and detection of anomalies in biomedical and chemical images.

Download or read book Achievements and New Frontiers in Research Oriented to Earthquake Forecasting written by Giovanni Martinelli and published by Frontiers Media SA. This book was released on 2022-06-23 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cover Image Credit: Zhaofei Liu and Ying Li From the Institute of Earthquake Forecasting, China

Download or read book Building Knowledge for Geohazard Assessment and Management in the Caucasus and other Orogenic Regions written by Fabio Luca Bonali and published by Springer Nature. This book was released on 2021-01-06 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is aimed at providing a comprehensive overview of the state of art of research related to geo-related hazards in the Caucasus and other orogenic regions; it is also devoted to shedding light on a broad array of geological phenomena as well as discussing innovative tools and strategies for geohazard assessment. Additional emphasis is placed on preventive and mitigation measures, which might be helpful in tackling seismic, volcanic and landslide risks affecting major lifelines and infrastructures. The innovative, multidisciplinary methodologies illustrated in this volume may be successfully applied to other orogenic regions across the globe. The book features major scientific contributions from experts working on different Earth Science topics, such as seismology, structural geology, applied geology and volcanology. Its chapters describe a wide gamut of cutting-edge research methodologies and are thus intended to be read and shared by the worldwide Earth Science community. In particular, the readers will have a chance to gain a thorough knowledge of a number of key geological features that can be observed across both the Greater and Lesser Caucasus. Moreover, the volume provides a thorough description of the techniques employed to assess seismic hazard in major cities - such as microzonation - and an overview of the efforts taken to monitor and prevent seismic and landslide hazard posed to vital energy infrastructures in the Caucasus region.

Download or read book Time Series Analysis and Inverse Theory for Geophysicists written by David Gubbins and published by Cambridge University Press. This book was released on 2004-03-18 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique textbook provides the foundation for understanding and applying techniques commonly used in geophysics to process and interpret modern digital data. The geophysicist's toolkit contains a range of techniques which may be divided into two main groups: processing, which concerns time series analysis and is used to separate the signal of interest from background noise; and inversion, which involves generating some map or physical model from the data. These two groups of techniques are normally taught separately, but are here presented together as parts I and II of the book. Part III describes some real applications and includes case studies in seismology, geomagnetism, and gravity. This textbook gives students and practitioners the theoretical background and practical experience, through case studies, computer examples and exercises, to understand and apply new processing methods to modern geophysical datasets. Solutions to the exercises are available on a website at http://publishing.cambridge.org/resources/0521819652

Download or read book Time Series Analysis and Applications to Geophysical Systems written by David Brillinger and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II.

Download or read book Models and Applications of Chaos Theory in Modern Sciences written by Elhadj Zeraoulia and published by CRC Press. This book was released on 2011-09-07 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a select group of papers that provide a comprehensive view of the models and applications of chaos theory in medicine, biology, ecology, economy, electronics, mechanical, and the human sciences. Covering both the experimental and theoretical aspects of the subject, it examines a range of current topics of interest. It consid

Download or read book Recent Advances on Soft Computing and Data Mining written by Tutut Herawan and published by Springer. This book was released on 2014-05-29 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014. The 65 revised full papers presented in this book were carefully reviewed and selected from 145 submissions, and organized into two main topical sections; Data Mining and Soft Computing. The goal of this book is to provide both theoretical concepts and, especially, practical techniques on these exciting fields of soft computing and data mining, ready to be applied in real-world applications. The exchanges of views pertaining future research directions to be taken in this field and the resultant dissemination of the latest research findings makes this work of immense value to all those having an interest in the topics covered.

Download or read book Synchronization and Triggering from Fracture to Earthquake Processes written by Valerio de Rubeis and published by Springer Science & Business Media. This book was released on 2010-11-11 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processes of synchronization and interaction play a very special role in different physical problems concerning the dynamics of the Earth’s interior; they are of particular importance in the study of seismic phenomena, and their complexity is strongly affected by the variety of geological structures and inhomogeneities of the medium that hamper the course of these processes and their intensity. The attempt to tackle these problems is a great challenge from experimental, observational and theoretical point of view. We present in this Monograph the theoretical and experimental results achieved in the frame of the European Project “Triggering and synchronization of seismic/ acoustic events by weak external forcing as a sign of approaching the critical point” (INTAS Ref. Nr 05-1000008-7889); in this Project, which was inspired by Professor Tamaz Chelidze, our aim was to give grounds for better understanding and interpretation of dynamical interactive processes of physical ?elds, both found in the laboratory experiments as well as in ?eld observations. One of the leading problems – related to synchronization and interaction of different physical ?elds in fracture processes concerns triggering and initiation of rupture and displa- ments within the Earth interior. From this point of view, the results from laboratory studies on synchronization and interaction and those found and involved in ?eld observations, helped to improve the theoretical background. Reversely, some of the presented new theoretical approaches have served to stimulate laboratory and ?eld studies.

Download or read book Time Series Analysis and Applications to Geophysical Systems written by Enders Anthony Robinson and published by Springer Science & Business Media. This book was released on 2004-09-17 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001 as part of the IMA's Thematic Year on Mathematics in the Geosciences, explores the application of recent advances in time series methodology to a host of important problems ranging from climate change to seismology. The works in the volume deal with theoretical and methodological issues as well as real geophysical applications, and are written with both statistical and geophysical audiences in mind. Important contributions to time series modeling, estimation, prediction, and deconvolution are presented. The results are applied to a wide range of geophysical applications including the investigation and prediction of climatic variations, the interpretation of seismic signals, the estimation of flooding risk, the description of permeability in Chinese oil fields, and the modeling of NOx decomposition from thermal power plants.

Download or read book Time Series with Applications to Seismology written by G. R. Dargahi-Noubary and published by . This book was released on 1999 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book the author will present several approaches for modelling and identification of seismic records based on formulations for source and transmission path. This will demonstrate an approach based on a criterion other that statistical goodness of fit. They will provide reasons for the success of the models and methods that are used frequently. This will provide a criterion to decide which models are good for all data sets, not just for the data at hand. Moreover, we will explain the relationships that exist between certain geophysical variables (e.g. corner frequency) and statistical quantities (e.g. zero-crossing) and use that to support our modelling and identification approaches.

Download or read book Internet Applications written by Lucas Chi-Kwong Hui and published by Springer. This book was released on 2004-02-02 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Computer Science Conference, ICSC'99, held in Hong Kong, China, in December 1999. The 30 revised full papers presented together with 30 short papers were carefully reviewed and selected from 80 submissions. The book is divided into sections on information filtering, data mining, Web databases, user interfaces, modeling, information retrieval, workflow, applications, active networks, mobility and distributed databases, protocols, distributed systems, information retrieval and filtering, Web technologies, and e-commerce.

Download or read book Data Science in Theory and Practice written by Maria Cristina Mariani and published by John Wiley & Sons. This book was released on 2021-09-30 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. The book offers readers a multitude of topics all relevant to the analysis of complex data sets. Along with a robust exploration of the theory underpinning data science, it contains numerous applications to specific and practical problems. The book also provides examples of code algorithms in R and Python and provides pseudo-algorithms to port the code to any other language. Ideal for students and practitioners without a strong background in data science, readers will also learn from topics like: Analyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis A comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity Introductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages An exploration of algorithms, including how to write one and how to perform an asymptotic analysis A comprehensive discussion of several techniques for analyzing and predicting complex data sets Perfect for advanced undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs, Data Science in Theory and Practice will also earn a place in the libraries of practicing data scientists, data and business analysts, and statisticians in the private sector, government, and academia.