Published on the occasion of the XXIst Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS) in Beiijng, China in 2008, Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book is a compilation of 34 contributions from 62 researchers active within the ISPRS. The book covers the state-of-the-art in photogrammetry, remote sensing, and spatial information sciences, and is divided into six parts:

- Introduction

- Sensors, Platforms and Data Acquisition Systems

- Data Processing and Analysis

- Data Modelling, Management and Visualisation

- Applications

- Education and Cooperation.

Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book provides a comprehensive overview of the progress made in these areas since the XXth ISPRS Congress, which was held in 2004 in Istanbul, Turkey. The volume will be invaluable not only to scientists and researchers, but also to university students and practitioners.

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics: Data science: as an alternative to time series, price movements in a market can be summarised as directional changes Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed Algorithmic trading: regime tracking information can help us to design trading algorithms It will be of great interest to researchers in computational finance, machine learning and data science. About the Authors Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019. Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics: Data science: as an alternative to time series, price movements in a market can be summarised as directional changes Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed Algorithmic trading: regime tracking information can help us to design trading algorithms It will be of great interest to researchers in computational finance, machine learning and data science. About the Authors Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019. Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.

This book contains all refereed papers accepted during the fourth asia-pacific edition & twelve edition - which were merged this year - of the CSD&M conference that took place in Beijing, People's Republic of China by 2021. Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between European and Asian forum dedicated to academic researchers & industrial actors working on complex industrial systems architecting, modeling & engineering. These proceedings cover the most recent trends in the emerging field of complex systems, both from an academic and professional perspective. A special focus was put this year on "Digital Transformation in Complex Systems Engineering". CESAM Community The CSD&M series of conferences are organized under the guidance of CESAM Community, managed by CESAMES. CESAM Community aims in organizing the sharing of good practices in systems architecting and model-based systems engineering (MBSE) and certifying the level of knowledge and proficiency in this field through the CESAM certification. The CESAM systems architecting & model-based systems engineering (MBSE) certification is especially currently the most disseminated professional certification in the world in this domain through more than 1,000 real complex system development projects on which it was operationally deployed and around 10,000 engineers who were trained on the CESAM framework at international level.

This book contains all refereed papers accepted during the fourth asia-pacific edition & twelve edition - which were merged this year - of the CSD&M conference that took place in Beijing, People's Republic of China by 2021. Mastering complex systems requires an integrated understanding of industrial practices as well as sophisticated theoretical techniques and tools. This explains the creation of an annual go-between European and Asian forum dedicated to academic researchers & industrial actors working on complex industrial systems architecting, modeling & engineering. These proceedings cover the most recent trends in the emerging field of complex systems, both from an academic and professional perspective. A special focus was put this year on "Digital Transformation in Complex Systems Engineering". CESAM Community The CSD&M series of conferences are organized under the guidance of CESAM Community, managed by CESAMES. CESAM Community aims in organizing the sharing of good practices in systems architecting and model-based systems engineering (MBSE) and certifying the level of knowledge and proficiency in this field through the CESAM certification. The CESAM systems architecting & model-based systems engineering (MBSE) certification is especially currently the most disseminated professional certification in the world in this domain through more than 1,000 real complex system development projects on which it was operationally deployed and around 10,000 engineers who were trained on the CESAM framework at international level.

This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic systems with time delays. First, it provides the new introduction of integral and summation inequalities for stability analysis of nominal time-delay systems in continuous and discrete time domain, and presents corresponding stability conditions for the nominal system and an applicable nonlinear system. Next, it investigates several control problems for dynamic systems with delays including H(infinity) control problem Event-triggered control problems; Dynamic output feedback control problems; Reliable sampled-data control problems. Finally, some application topics covering filtering, state estimation, and synchronization are considered. The book will be a valuable resource and guide for graduate students, scientists, and engineers in the system sciences and control communities.

The blood-brain-barrier serves to encapsulate and protect the central nervous system, but it also presents a major barricade to therapeutic drug delivery. Poor penetration is the most common hurdle to translating a promising experimental therapy that uses invasive delivery methods to a clinically useful application. In the last 10 years, intranasal delivery of various therapeutic compounds including small chemicals, large proteins, and even stem cells has proven to be very effective in bypassing the blood-brain-barrier and has led to some important advances in translational research for stroke and other neurological diseases. The proposed book will bring together reports from various labs around the world who have had successes in pre-clinical studies of intranasal therapies for various diseases including adult and perinatal stroke, Alzheimer's, Parkinson's, and others.

This book introduces an innovative and high-efficiency technology for mechanical energy harvesting. The book covers the history and development of triboelectric nanogenerators, basic structures, working principles, performance characterization, and potential applications. It is divided into three parts: Part A illustrates the fundamental working modes of triboelectric nanogenerators with their prototype structures and theoretical analysis; Part B and Part C introduce two categories of applications, namely self-powered systems and self-powered active sensors. The book will be an ideal guide to scientists and engineers beginning to study triboelectric nanogenerators or wishing to deepen their knowledge of the field. Readers will be able to place the technical details about this technology in context, and acquire the necessary skills to reproduce the experimental setups for fabrication and measurement.

The successful previous volume on this topic provided a detailed benchwork manual for the most commonly used animal models of acute neurological injuries including cerebral ischemia, hemorrhage, vasospasm, and traumatic brain and spinal cord injuries. Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments aims to collect chapters on assessing these disorders from cells and molecules to behavior and imaging. These comprehensive assessments are the key for understanding disease mechanisms as well as developing novel therapeutic strategies to ameliorate or even prevent damages to the nervous system. Volume 2 examines global cerebral ischemia, focal cerebral ischemia, and neonatal hypoxia-ischemia, as well as intensive sections covering traumatic brain injury and spinal cord injury. Designed to provide both expert guidance and step-by-step procedures, chapters serve to increase understanding in what, why, when, where, and how a particular assessment is used. Accessible and essential, Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments will be useful for trainees or beginners in their assessments of acute neurological injuries, for experienced scientists from other research fields who are interested in either switching fields or exploring new opportunities, and for established scientists within the field who wish to employ new assessments.

This book introduces an innovative and high-efficiency technology for mechanical energy harvesting. The book covers the history and development of triboelectric nanogenerators, basic structures, working principles, performance characterization, and potential applications. It is divided into three parts: Part A illustrates the fundamental working modes of triboelectric nanogenerators with their prototype structures and theoretical analysis; Part B and Part C introduce two categories of applications, namely self-powered systems and self-powered active sensors. The book will be an ideal guide to scientists and engineers beginning to study triboelectric nanogenerators or wishing to deepen their knowledge of the field. Readers will be able to place the technical details about this technology in context, and acquire the necessary skills to reproduce the experimental setups for fabrication and measurement.

The successful previous volume on this topic provided a detailed benchwork manual for the most commonly used animal models of acute neurological injuries including cerebral ischemia, hemorrhage, vasospasm, and traumatic brain and spinal cord injuries. Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments aims to collect chapters on assessing these disorders from cells and molecules to behavior and imaging. These comprehensive assessments are the key for understanding disease mechanisms as well as developing novel therapeutic strategies to ameliorate or even prevent damages to the nervous system. Volume 1 examines general assessments in morphology, physiology, biochemistry and molecular biology, neurobehavior, and neuroimaging, as well as extensive sections on subarachnoid hemorrhage, cerebral vasospasm, and intracerebral hemorrhage. Designed to provide both expert guidance and step-by-step procedures, chapters serve to increase understanding in what, why, when, where, and how a particular assessment is used. Accessible and essential, Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments will be useful for trainees or beginners in their assessments of acute neurological injuries, for experienced scientists from other research fields who are interested in either switching fields or exploring new opportunities, and for established scientists within the field who wish to employ new assessments.

This book provides a comprehensive overview of the latest research in the role of non-neuronal cells - astrocytes, oligodendrocytes, endothelial cells, pericytes, microglia, and other immune cells in ischemic brain injury and long-term recovery. In these cases, neurodegeneration and brain repair are controlled in a sophisticated system, incorporating interactions between different cell types and cellular systems. Also explored are the therapeutic strategies that target non-neuronal responses after stroke and their translational potentials.

Recent research has revealed the importance of immunological mechanisms and inflammation in delaying damage and/or promoting repair after an acute injury to the central nervous system. This book provides a comprehensive and up-to-date overview of the role of immunological mechanisms and therapies for treating acute neurological injuries such as cerebral ischemia, hemorrhage, and brain and spinal cord trauma. In several sections, the contributing authors provide a review of immunological mechanisms involved in neurological injury and of various translational and clinical research aimed at harnessing those mechanisms for better patient outcomes.

Recent research has revealed the importance of immunological mechanisms and inflammation in delaying damage and/or promoting repair after an acute injury to the central nervous system. This book provides a comprehensive and up-to-date overview of the role of immunological mechanisms and therapies for treating acute neurological injuries such as cerebral ischemia, hemorrhage, and brain and spinal cord trauma. In several sections, the contributing authors provide a review of immunological mechanisms involved in neurological injury and of various translational and clinical research aimed at harnessing those mechanisms for better patient outcomes.

The successful previous volume on this topic provided a detailed benchwork manual for the most commonly used animal models of acute neurological injuries including cerebral ischemia, hemorrhage, vasospasm, and traumatic brain and spinal cord injuries. Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments aims to collect chapters on assessing these disorders from cells and molecules to behavior and imaging. These comprehensive assessments are the key for understanding disease mechanisms as well as developing novel therapeutic strategies to ameliorate or even prevent damages to the nervous system. Volume 1 examines general assessments in morphology, physiology, biochemistry and molecular biology, neurobehavior, and neuroimaging, as well as extensive sections on subarachnoid hemorrhage, cerebral vasospasm, and intracerebral hemorrhage. Designed to provide both expert guidance and step-by-step procedures, chapters serve to increase understanding in what, why, when, where, and how a particular assessment is used. Accessible and essential, Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments will be useful for trainees or beginners in their assessments of acute neurological injuries, for experienced scientists from other research fields who are interested in either switching fields or exploring new opportunities, and for established scientists within the field who wish to employ new assessments.

The successful previous volume on this topic provided a detailed benchwork manual for the most commonly used animal models of acute neurological injuries including cerebral ischemia, hemorrhage, vasospasm, and traumatic brain and spinal cord injuries. Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments aims to collect chapters on assessing these disorders from cells and molecules to behavior and imaging. These comprehensive assessments are the key for understanding disease mechanisms as well as developing novel therapeutic strategies to ameliorate or even prevent damages to the nervous system. Volume 2 examines global cerebral ischemia, focal cerebral ischemia, and neonatal hypoxia-ischemia, as well as intensive sections covering traumatic brain injury and spinal cord injury. Designed to provide both expert guidance and step-by-step procedures, chapters serve to increase understanding in what, why, when, where, and how a particular assessment is used. Accessible and essential, Animal Models of Acute Neurological Injuries II: Injury and Mechanistic Assessments will be useful for trainees or beginners in their assessments of acute neurological injuries, for experienced scientists from other research fields who are interested in either switching fields or exploring new opportunities, and for established scientists within the field who wish to employ new assessments.

Despite numerous recent studies and exciting discoveries in the field, only limited treatment is available today for the victims of acute neurological injuries. Animal Models of Acute Neurological Injuries provides a standardized methodology manual designed to eliminate the inconsistent preparations and variability that currently jeopardizes advances in the field. Contributed by top experts and many original developers of the models, each chapter contains a step-by-step, proven procedure and visual aids covering the most commonly used animal models of neurological injury in order to highlight the practical applications of animal models rather than the theoretical issues. This intensive volume presents its readily reproducible protocols with great clarity and consistency to best aid neuroscientists and neurobiologists in laboratory testing and experimentation. Comprehensive and cutting-edge, Animal Models of Acute Neurological Injuries is an ideal guide for scientists and researchers who wish to pursue this vital course of study with the proficiency and precision that the field requires.

This book presents up-to-date research developments and novel methodologies to solve various stability and control problems of dynamic systems with time delays. First, it provides the new introduction of integral and summation inequalities for stability analysis of nominal time-delay systems in continuous and discrete time domain, and presents corresponding stability conditions for the nominal system and an applicable nonlinear system. Next, it investigates several control problems for dynamic systems with delays including H(infinity) control problem Event-triggered control problems; Dynamic output feedback control problems; Reliable sampled-data control problems. Finally, some application topics covering filtering, state estimation, and synchronization are considered. The book will be a valuable resource and guide for graduate students, scientists, and engineers in the system sciences and control communities.

Despite numerous recent studies and exciting discoveries in the field, only limited treatments are available today for the victims of acute brain and spinal cord injuries. Animal Models of Acute Neurological Injuries, Second Edition, provides a standardized methodology manual designed to eliminate the inconsistent preparations and variability that often inhibit advances in this specialized research field. In the 10 years since publication of the first edition of this book, some animal models have become obsolete, some have stood the test of time, and newer models have emerged to enhance our knowledge of acute neurological injuries. The second edition continues to offer the research community tested approaches for this area of investigation. As with the first edition, top experts have developed and contributed these animal models. The book's focus remains hands-on, practical applications of the models, rather than a theoretical approach. Each chapter contains a proven procedure enhanced by clear figures, illustrations, or videos. This new edition presents its readily reproducible protocols with clarity and consistency to best aid neuroscientists and neurobiologists. As with the first edition, the second edition is comprehensive and cutting-edge. Animal Models of Acute Neurological Injuries, Second Edition, is an ideal guide for research professionals, at all stages of their careers, who wish to pursue this vital course of study with the proficiency and precision required by the field.

This book provides a comprehensive overview of the latest research in the role of non-neuronal cells - astrocytes, oligodendrocytes, endothelial cells, pericytes, microglia, and other immune cells in ischemic brain injury and long-term recovery. In these cases, neurodegeneration and brain repair are controlled in a sophisticated system, incorporating interactions between different cell types and cellular systems. Also explored are the therapeutic strategies that target non-neuronal responses after stroke and their translational potentials.