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Dynamics of Freezing-Thawing Soil around Subway Shield Tunnels
Addresses development laws for axial strain and excess pore water pressure in silty clay around subway shield tunnels before and after freezing-thawing when subjected to subway loading, as well as the effect of freezing-thawing on the dynamic parameters of silty clay, including the dynamic modulus and damping ratio, introducing readers to the design and construction of bypasses in subway tunnels with the artificial freezing method. On this basis, it then studies the microstructures of silty clay before and after freezing-thawing cyclic loading by means of scanning electron microscope tests and mercury intrusion porosimetry tests. Lastly, the book presents a numerical simulation of the dynamics of silty clay around subway tunnels before and after thawing.
Dynamic planet : Monitoring and understanding a dynamic planet with geodetic and oceanographic tools
This book presents a set of papers on IAG Symposium, held on Cairns, Australia, 22-26 August, 2005
Dynamic Modeling, Predictive Control and Performance Monitoring : A Data-driven Subspace Approach
A typical design procedure for model predictive control or control performance monitoring consists of: identification of a parametric or nonparametric model, derivation of the output predictor from the model and design of the control law or calculation of performance indices according to the predictor.
Dynamic Methods for Damage Detection in Structures
Presents an overview of dynamic methods for structural health monitoring and damage detection in structures. This book explains both theoretical and experimental aspects of dynamic non-destructive methods and their connection with inverse and identification problems in structural dynamics.
Dynamic Magma Evolution
Understanding the magmatic processes responsible for the chemical and textural signatures of volcanic products and igneous rocks is crucial for monitoring, forecasting, and mitigating the impacts of volcanic activity. Dynamic Magma Evolution is a compilation of recent geochemical, petrological, physical, and thermodynamic studies. It combines field research, experimental results, theoretical approaches, unconventional and novel techniques, and computational modeling to present the latest developments in the field.
Durability of reinforced concrete structures
Reinforced concrete structures corrode as they age, with significant financial implications, but it is not immediately clear why some are more durable than others. This book looks at the mechanisms for corrosion and how corrosion engineering can be used for these problems to be minimized in future projects. Several different examples of reinforced concrete structures with corrosion problems are described and the various life enhancement solutions considered and applied are discussed. The book includes a chapter on the effectiveness of corrosion monitoring techniques and questions why the reality is at odds with current theory and standards.
Distributed Cooperative Laboratories : Networking, Instrumentation, and Measurements
This is a highly interdisciplinary topic, where various aspects converge: multimedia communications and networking, sensor networks, Grid technology, Quality of Service (QoS) provisioning and control, network management, measurement instrumentation and methodology, architecture of measurement systems. The material is organized into six parts: Technologies for Real-Time Interactive Multimedia Communications; Monitoring, Management and Configuration of Networks and Networking Devices; Data Acquisition and Aggregation in Sensor Networks; Grid Structures for Distributed Cooperative Laboratories; Architectures and Techniques for Tele-Measurements; Virtual Immersive Communications and Distance Learning. Each contribution presents a self-contained treatment, within a framework that provides the reader with an up-to-date picture of the most recent state-of-the-art developments.
Distributed Consensus in Multi-vehicle Cooperative Control : Theory and Applications
Distributed Consensus in Multi-vehicle Cooperative Control develops distributed consensus strategies designed to ensure that the information states of all vehicles in a network converge to a common value. This approach strengthens the team, minimizing power consumption and the deleterious effects of range and other restrictions.
Disruptive trends in automation technology
The industrial sector is being transformed by the convergence of information technology and operational technology. The latter is another name for automation technology and covers established systems such as supervisory control and data acquisition (SCADA), programmable logic controllers (PLC), fieldbuses, and automation and control systems. As this technology is connected to the Internet and 5G networks, some monitoring, control, and analytic functionalities are deployed to the edge or cloud, and researchers are challenged to ensure the security, dependability, real-time performance, and maintainability of the resulting systems. The big data that is accessible from these systems create opportunities for artificial intelligence applications that can further disrupt the established practices in the automation domain.
Dinaric Perspectives on TIMSS 2019 : Teaching and Learning Mathematics and Science in South-Eastern Europe
This book brings together national experts from across the Dinaric region to rigorously review IEA’s Trends in International Mathematics and Science Study (TIMSS) 2019 grade four data to develop a multidimensional and culturally sensitive perspective on their TIMSS 2019 primary-level results. The Dinaric region, named after the Dinaric Alps, is located in South-eastern Europe, and stretches through Croatia, Bosnia and Herzegovina, Serbia, Montenegro, Kosovo[1], Albania, and North Macedonia. IEA’s TIMSS has been an invaluable resource for monitoring international trends in mathematics and science achievement at grades four and eight since 1995. The TIMSS 2019 administration of the test to grade four students, provided a unique opportunity for analysis within shared regional settings and enabled the construction of this first report based on international study results from the region, prepared by the National Research Coordinators in collaboration with IEA.
Digital Watermarking ; Vol. 3710 ; 4th International Workshop, IWDW 2005, Siena, Italy, September 15-17, 2005, Proceedings
We are delighted to welcome the attendees of the Fourth International Wo- shop on Digital Watermarking (IWDW). Watermarking continues to generate strong academic interest. Commercialization of the technology is proceeding at a steadypace. We haveseen watermarkingadoptedfor DVD audio.Fingerpri- ing technology was successfully used to determine the source of pirated video material. Furthermore, a number of companies are using watermarking as an enabling technology for broadcast monitoring services. Watermarking of digital cinema contentis anticipated. Future applications may also come from areas- related to digital rights management. For example, the use of watermarking to enhance legacy broadcast and communication systems is now being considered. IWDW 2005 o?ers an opportunity to re?ect upon the state of the art in digital watermarking as well as discuss directions for future research and applications. This year we accepted 31 papers from 74 submissions. This 42% acceptance rate indicates our commitment to ensuring a very high quality conference.
Digital project management strategic theory and practice ; Vol 31
Foundational resource for courses on digital project management methods, offering step-by-step guidance and real-world examples. It provides actionable insights into implementing digital tools in project management studies, from data collection to visualization. The book also highlights the role of strategic theory and practice in project management strategic decision-making across project planning, execution, monitoring and control management.
Digital Noise Monitoring of Defect Origin
Digital Noise Monitoring of Defect Origin is for both academics and professionals in the fields of engineering, biological sciences, physical science, and automation with particular emphasis on power engineering, oil-and-gas extraction, and aviation among others. The focus of the book is on determining defect origins. The author divides the process into the stages of monitoring the defect origin, identification of the defect and its stages, and control of the defect. The significance of this work is also connected to the possibility of using the noise as a data carrier for creating technologies that detect the initial stage of changes in objects.
Designing machine learning systems : An iterative process for production-ready applications
Machine learning systems are both complex and unique. Each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. The book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
Designing & Implementing an IDS in SDN
Solving the problem of the various type of unknown attacks that are hitting not only companies but also high level business individuals, of course we know that there is no way to stop the attacks permanently but this project is attempting to reduce these attacks to the possible minimum where it can detect the attack and declare its type so that the hostile can at least know what is the type of attacks on him and what to do in response and build a higher security. This system is implemented using the SDN environment and IDS technology for monitoring the traffic on the network and for detecting the attack and its type. Also the SDN technology has a built-in OpenFlow protocol. To work in an OF environment, any device that wants to communicate to an SDN controller must support the OpenFlow protocol.
Data-Driven Policy Impact Evaluation : How Access to Microdata is Transforming Policy Design
Provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring.
Data Monitoring in Clinical Trials : A Case Studies Approach
Randomized clinical trials are the gold standard for establishing many clinical practice guidelines and are central to evidence based medicine. Obtaining the best evidence through clinical trials must be done within the boundaries of rigorous science and ethical principles. One fundamental principle is that trials should not continue longer than necessary to reach their objectives. Therefore, trials must be monitored for recruitment progress, quality of data, adherence to patient care or prevention standards, and early evidence of benefit or harm. Frequently, a group of external experts, independent from the investigators and trial sponsor, is charged with this monitoring responsibility, especially for safety and early benefit. This group is referred to by various names, such as a data monitoring committee or a data and safety monitoring board. This book, through a series of case studies presented by many distinguished clinical trial experts, illustrates the complexity of this monitoring process.No other text has as extensive a collection of cases which provide insight into the many issues, often conflicting, that must be examined before recommendations to continue or discontinue a trial can be made. While depth in statistical methods is not required, some familiarity with statistical design and analysis issues in clinical trials is helpful. The cases cover trials which were terminated early for convincing evidence of benefit, or for harmful effects. Cases with complex issues are also included. This series of cases should provide broad background information for potential monitoring committee members and better prepare them for the challenges that may exist in the trials for which they are responsible.
Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications
Cutting Tool Technology : Industrial Handbook
Cutting Tool Technology provides a comprehensive guide to the latest developments in the use of cutting tool technology. The book covers new machining and tooling topics such as high-speed and hard-part machining, near-dry and dry-machining strategies, multi-functional tooling, ‘diamond-like’ and ‘atomically-modified’ coatings, plus many others.
