Presenting current approaches in observational and computational seismology, this book introduces advanced methods and techniques by means of case studies in earthquake research. Among others these include solving inverse seismologic problems, tomography for structure imaging, characterizing fault damage and healing, seismicity analysis for determining pre-shock moment release, and coupled solid-fluid models.

This monograph provides an up-to-date overview on methods and techniques in seismology, with a focus on describing and detecting seismic waves in anisotropic media. The author discusses structural, physical and mechanical aspects of the crust by analyzing earthquake data from field studies, rendering the book a practical reference for researchers in seismology and applied geophysics. Contents: Rock Anisotropy, Fracture and Earthquake Assessment Seismic Wave Propagation in Anisotropic Rocks with Applications to Defining Fractures in Earth Crust Reproducing the Realistic Compressive-tensile Strength Ratio of Rocks using Discrete Element Model Rock Fracture under Static and Dynamic Stress Multiple Linear Regression Analyses on the Relationships among Magnitude, Rupture Length, Rupture Width, Rupture Area, and Surface Displacement PI Algorithm Applied to the Sichuan-Yunnan Region: A Statistical Physics Method for Intermediate-term Medium-range Earthquake Forecast in Continental China Probabilistic Seismic Hazard Assessment for Pacific Island Countries

This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.

The book covers multi-disciplinary topics in observational, computational and applied geophysics in aspects of solid earth system. The authors provide an up-to-date overview for methods and techniques in seismology, with a focus on fault structure, strong ground motion and earthquake forecast based on full-3D earth structure models. Abundant of case studies make it a practical reference for researchers in seismology and applied geophysics.

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.

This book presents review papers and research articles focusing on the 2008 Wenchuan earthquake in Sichuan, China, discussing cross-disciplinary and multiple thematic aspects of modern seismological, geophysical, geological and stochastic methodology and technology. Resulting from international and regional earthquake research and disaster mitigation collaborations, and written by international authors from multiple institutions and disciplines, it describes methods and techniques in earthquake science based on investigations of the Wenchuan earthquake. It also includes extensive reference lists to aid further research. The book helps both senior researchers and graduate students in earthquake science to broaden their horizons in data analysis, numerical modeling and structural retrieval for the tectonic, geological, geophysical and mechanical interpretation of the 2008 M8 Wenchuan earthquake to support a global and regional cooperation for preparedness, and the mitigation and management of seismic risk.

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the "Challenge of Big Data and Applications of Statistics," in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.

This edited volume presents current research in biostatistics with emphasis on biopharmaceutical applications. Featuring contributions presented at the 2017 ICSA Applied Statistics Symposium held in Chicago, IL on June 25 to 28, 2017, this book explores timely topics that have a high potential impact on statistical methodology and future research in biostatistics and biopharmaceuticals. The theme of this conference was Statistics for a New Generation: Challenges and Opportunities, in recognition of the advent of a new generation of statisticians. The conference attracted statisticians working in academia, government, and industry; domestic and international statisticians. From the conference, the editors selected 28 high-quality presentations and invited the speakers to prepare full chapters for this book. These contributions are divided into four parts: Part I Biostatistical Methodology, Part II Statistical Genetics and Bioinformatics, Part III Regulatory Statistics, and Part IV Biopharmaceutical Research and Applications.Featuring contributions on topics such as statistics in genetics, bioinformatics, biostatistical methodology, and statistical computing, this book is beneficial to researchers, academics, practitioners and policy makers in biostatistics and biopharmaceuticals.

This book presents an important technique to process organic photovoltaic devices. The basics, materials aspects and manufacturing of photovoltaic devices with solution processing are explained. Solution processable organic solar cells - polymer or solution processable small molecules - have the potential to significantly reduce the costs for solar electricity and energy payback time due to the low material costs for the cells, low cost and fast fabrication processes (ambient, roll-to-roll), high material utilization etc. In addition, organic photovoltaics (OPV) also provides attractive properties like flexibility, colorful displays and transparency which could open new market opportunities. The material and device innovations lead to improved efficiency by 8% for organic photovoltaic solar cells, compared to 4% in 2005. Both academic and industry research have significant interest in the development of this technology. This book gives an overview of the booming technology, focusing on the solution process for organic solar cells and provides a state-of-the-art report of the latest developments. World class experts cover fundamental, materials, devices and manufacturing technology of OPV technology.

This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most recent research on differential privacy with a theory perspective. It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications. Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis. Data publishing focuses on how to modify the original dataset or the queries with the guarantee of differential privacy. Privacy data analysis concentrates on how to modify the data analysis algorithm to satisfy differential privacy, while retaining a high mining accuracy. The authors also introduce several applications in real world applications, including recommender systems and location privacy Advanced level students in computer science and engineering, as well as researchers and professionals working in privacy preserving, data mining, machine learning and data analysis will find this book useful as a reference. Engineers in database, network security, social networks and web services will also find this book useful.

This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. Compressed sensing (CS) is one of the most active topics in the signal processing area. By exploiting and promoting the sparsity of the signals of interest, CS offers a new framework for reducing data without compromising the performance of signal recovery, or for enhancing resolution without increasing measurements. An introductory chapter outlines the fundamentals of sparse signal recovery. The following topics are then systematically and comprehensively addressed: hybrid greedy pursuit algorithms for enhancing radar imaging quality; two-level block sparsity model for multi-channel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson-disk sampling for high-resolution and wide-swath SAR imaging; when advanced sparse models meet coarsely quantized radar data; sparsity-aware micro-Doppler analysis for radar target classification; and distributed detection of sparse signals in radar networks via locally most powerful test. Finally, a concluding chapter summarises key points from the preceding chapters and offers concise perspectives. The book focuses on how to apply the CS-based models and algorithms to solve practical problems in radar, for the radar and signal processing research communities.

It is very useful and timely book as demand forecasting has become a very crucial tool and provides important information for destination on which policy are created and implemented. This is especially important given the complexities arising the aftermath of the Covid19 pandemic. * It looks at novel and recent developments in this field including judgement and scenario forecasting. * Offers a comprehensive approach to tourism econometrics, looking at a variety of aspects. * The authors are experts in this field and of the highest academic calibre.

This work presents current approaches in geophysical research of earthquakes. A global authorship from top institutions presents case studies to model, measure, and monitor earthquakes. Among others a full-3D waveform tomography method is introduced, as well as propagator methods for modeling and imaging. In particular the earthquake prediction method makes this book a must-read for researchers in the field.

Global simultaneous development is becoming more necessary as the cost of developing medical products continues to grow. The strategy of using multiregional clinical trials (MRCTs) has become the preferred method for developing new medicines. Implementing the same protocol to include subjects from many geographical regions around the world, MRCTs can speed up the patient enrolment, thus resulting in quicker drug development and obtaining faster approval of the drug globally. After the publication of the editors' first volume on this topic, there have been new developments on MRCTs. The International Council for Harmonisation (ICH) issued ICH E17, a guideline document on MRCTs, in November 2017, laying out principles on MRCTs. Beyond E17, new methodologies have been developed as well. Simultaneous Global New Drug Development: Multi-Regional Clinical Trials after ICH E17 collects chapters providing interpretations of principles in ICH E17 and new ideas of implementing MRCTs. Authors are from different regions, and from academia and industry. In addition, in contrast to the first book, new perspectives are brought to MRCT from regulatory agencies. This book will be of particular interest to biostatisticians working in late stage clinical development of medical products. It will also be especially helpful for statisticians in regulatory agencies, and medical research institutes. This book is comprehensive across the MRCT topic spectrum, including Issues regarding ICH E17 Implementation MRCT Design and Analysis Methodologies Perspectives from authorities in regulatory agencies, as well as statisticians practicing in the medical product industry Many examples of real-life applications based on actual MRCTs.

It is very useful and timely book as demand forecasting has become a very crucial tool and provides important information for destination on which policy are created and implemented. This is especially important given the complexities arising the aftermath of the Covid19 pandemic. * It looks at novel and recent developments in this field including judgement and scenario forecasting. * Offers a comprehensive approach to tourism econometrics, looking at a variety of aspects. * The authors are experts in this field and of the highest academic calibre.

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website. This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.

This book introduces an integrated conceptual framework of the China Seismic Experimental Site (CSES), describes its scientific challenges and research priorities, and reports preliminary results coming out of observational infrastructure in seismology, tectonophysics, geodesy, geophysics and geochemistry. Preliminary community fault model, community velocity model, and community strain rate model in the CSES are described in this book. A multidisciplinary test observation system includes GNSS, seismic array, and deep drilling system under construct around middle segment of the Xiansuihe-Xiaojiang fault and other seismogenic faults in the CSES which are also introduced. This book introduces multidisciplinary topics and a wide spectrum of solid earth system to describe various disciplines, methods, and techniques through the CSES. This book presents a vision of the CSES that is dedicated to deepen the scientific understanding of continental earthquake preparation and occurrence and enhance the disaster resilience of the society. It aims at establishing a field laboratory of earthquake science, in which international and interdisciplinary cooperation could be fostered and supported. Contents of this book include the following: * History of Seismic Experiment Sites in the World. * Launching of CSES Project: Seismicity, Existed Earthquake Monitoring Networks, and Historical Seismic Disasters. * Seismotectonics and Geodynamics of the Eastern Margin of the Tibetan Plateau with Implication for the CSES. * Theoretical Framework of CSES in View of Natural Science and in view of Social Science. * Updated Earthquake Monitoring Network in China. * CSES Community Models of Geology, Structure, and Deformation. * Earthquake Forecasting Models. * CSES Products: Massive Data Procession and Distribution. * A Review of the Field Expedition of the June 17, 2019, Changning, Sichuan, M6.0 Earthquake. * Rupture Structure and Earthquake Risk of the South Longmenshan Fault Viewed by Guided Waves. * Seismic Risk Assessment. * Model of a Seismic Experimental Site with Application to the Comparative Study between CSES and ASES.

Tourism demand is the foundation on which all tourism-related business decisions ultimately rest. Governments and companies such as airlines, tour operators, hotels, cruise ship lines, and recreation facility providers are interested in the demand for their products by tourists. The success of many businesses depends largely or totally on the state of tourism demand, and ultimate management failure is quite often due to the failure to meet market demand. This book introduces students, researchers and practitioners to the modern developments in advanced econometric methodology within the context of tourism demand analysis, and illustrates these developments with actual tourism applications. The concepts and computations of modern advanced econometric modelling methodologies are introduced at a level that is accessible to specialists and non-specialists alike. The methodologies introduced include general-to-specific modelling, cointegration, vector autoregression, time varying parameter modelling, panel data analysis and the almost ideal demand system (AIDS). In order to help the reader understand the various methodologies, extensive tourism demand examples are provided throughout the volume.

Tourism demand is the foundation on which all tourism-related business decisions ultimately rest. Governments and companies such as airlines, tour operators, hotels, cruise ship lines, and recreation facility providers are interested in the demand for their products by tourists. The success of many businesses depends largely or totally on the state of tourism demand, and ultimate management failure is quite often due to the failure to meet market demand. This book introduces students, researchers and practitioners to the modern developments in advanced econometric methodology within the context of tourism demand analysis, and illustrates these developments with actual tourism applications. The concepts and computations of modern advanced econometric modelling methodologies are introduced at a level that is accessible to specialists and non-specialists alike. The methodologies introduced include general-to-specific modelling, cointegration, vector autoregression, time varying parameter modelling, panel data analysis and the almost ideal demand system (AIDS). In order to help the reader understand the various methodologies, extensive tourism demand examples are provided throughout the volume.

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website. This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.

​This book constitutes the refereed proceedings of the 13th International Conference, on Applications and Techniques in Information Security, ATIS 2022, held in Manipal, India, December 30–31, 2022. The 23 full papers included in this book were carefully reviewed and selected from 121 submissions. They were organized in topical sections as follows: Privacy and Security, Advances in Machine Learning, Cloud, IoT and Computing Technologies.

This book introduces an integrated conceptual framework of the China Seismic Experimental Site (CSES), describes its scientific challenges and research priorities, and reports preliminary results coming out of observational infrastructure in seismology, tectonophysics, geodesy, geophysics and geochemistry. Preliminary community fault model, community velocity model, and community strain rate model in the CSES are described in this book. A multidisciplinary test observation system includes GNSS, seismic array, and deep drilling system under construct around middle segment of the Xiansuihe-Xiaojiang fault and other seismogenic faults in the CSES which are also introduced. This book introduces multidisciplinary topics and a wide spectrum of solid earth system to describe various disciplines, methods, and techniques through the CSES.  This book presents a vision of the CSES that is dedicated to deepen the scientific understanding of continental earthquake preparation and occurrence and enhance the disaster resilience of the society. It aims at establishing a field laboratory of earthquake science, in which international and interdisciplinary cooperation could be fostered and supported. Contents of this book include the following: • History of Seismic Experiment Sites in the World. • Launching of CSES Project: Seismicity, Existed Earthquake Monitoring Networks, and Historical Seismic Disasters. • Seismotectonics and Geodynamics of the Eastern Margin of the Tibetan Plateau with Implication for the CSES. • Theoretical Framework of CSES in View of Natural Science and in view of Social Science. •  Updated Earthquake Monitoring Network in China. •  CSES Community Models of Geology, Structure, and Deformation. •  Earthquake Forecasting Models. •  CSES Products: Massive Data Procession and Distribution. •  A Review of the Field Expedition of the June 17, 2019, Changning, Sichuan, M6.0 Earthquake. •  Rupture Structure and Earthquake Risk of the South Longmenshan Fault Viewed by Guided Waves. •  Seismic Risk Assessment. •  Model of a Seismic Experimental Site with Application to the Comparative Study between CSES and ASES.  

This book constitutes the refereed proceedings of the 9th International Conference on Applications and Techniques in Information Security, ATIS 2018, held in Nanning, China, in November 2018. The 19 full papers were carefully reviewed and selected from 59 submissions. The papers are organized in the following topical sections: information security, information abuse prevention, security implementations, knowledge discovery, and applications.

This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.

This book constitutes the refereed proceedings of the 8th International Conference on Applications and Techniques in Information Security, ATIS 2017, held in Auckland, New Zealand, in July 2017. The 14 revised full papers and 4 short papers presented together with two abstracts of invited talks were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on Keynote Speeches; Crypto Algorithms and Applications; Attacks; Malware and Malicious Events Detection; System and Network Security.