Due to the progress in VLSI technology, integrated circuit chips are now available that allow video/image signal processing to be performed with a single VLSI chip or small sets of VLSI chips. Recent standardization on bandwidth compression schemes for still images (JPEG) and motion pictures (H.261, R723, MPEG) also encourage the development of VLSI video/image processors for cost-effective solutions. Furthermore, recent trends suggest that the standardization on HDTB bandwidth compression for broadcasting and storage purposes is just around the corner. In terms of device technology, however, the progress achieved in increasing speed is not as high as that achieved by integration. The development of high speed systems is due to architectural effort, rather than device technology. This is why high speed architectures, such as those for special wired logic realization and for multi-processors are of great interest to VLSI system designers. VLSI Video/Image Signal Processing is an edited volume of original research comprising invited contributions by leading researchers.

The International Symposium on Experimental Robotics (ISER) is a series of bi-annual meetings which are organized in a rotating fashion around North America, Europe and Asia/Oceania. The goal of ISER is to provide a forum for research in robotics that focuses on novelty of theoretical contributions validated by experimental results. The meetings are conceived to bring together, in a small group setting, researchers from around the world who are in the forefront of experimental robotics research.

This unique reference presents the latest advances across the various fields of robotics, with ideas that are not only conceived conceptually but also verified experimentally. It collects contributions on the current developments and new directions in the field of experimental robotics, which are based on the papers presented at the Ninth ISER held in Singapore.

This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.

Is illustrative of new state-of-the-art probabilistic procedures to face the challenge of the optimal design of large structures under seismic hazard. Contains reliability-based procedures that includes a management of uncertainties which is easy to understand - Describes a systematic and scientific way to do a cost/benefit analysis which can be adapted to other cases of interest to the readers Offers a stimulating example of how to handle the economic consequences of the potential failure of a large structure Shows, in a practical way, the formulation of key aspects to make decisions and provides orientation to enable the reader to solve similar problems.

This bookcontains papers covering a wide range of studies on life-cycle performance analysis, design, maintenance, monitoring, management, and cost of civil infrastructure systems. Topics include reliability and optimization as design basis tools, monitoring systems, life-cycle cost analysis and management, bridge management systems, and quality control acceptance criteria. The book also discusses seismic reliability analysis of deteriorating structures, bridge inspection strategies, life-cycle cost analysis of structures on a network level, optimal risk-based design of infrastructures, updating bridge reliability using load monitoring data and statistics of extremes, rehabilitation of bridges, and lifetime analysis and structural repair of civil infrastructure systems.

The International Symposium on Experimental Robotics (ISER) is a series of bi-annual meetings which are organized in a rotating fashion around North America, Europe and Asia/Oceania. The goal of ISER is to provide a forum for research in robotics that focuses on novelty of theoretical contributions validated by experimental results. The meetings are conceived to bring together, in a small group setting, researchers from around the world who are in the forefront of experimental robotics research.

This unique reference presents the latest advances across the various fields of robotics, with ideas that are not only conceived conceptually but also verified experimentally. It collects contributions on the current developments and new directions in the field of experimental robotics, which are based on the papers presented at the Ninth ISER held in Singapore.

This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common platform for an exchange and sharing of ideas among the international scientific research and technical community on some of the main trends of robotics and autonomous systems: navigation, machine learning, computer vision, control, and robot design-as well as a wide range of applications. IAS-16 reflects the rise of machine learning and deep learning developments in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-reviewed process to ensure their scientific quality. Despite the challenge of organising a conference during a pandemic, the IAS biennial conference remains an essential venue for the robotics and autonomous systems community ever since its inception in 1986. Chapters 46 of this book is available open access under a CC BY 4.0 license at link.springer.com

Apply the principles of probability and statistics to realistic engineering problems

The easiest and most effective way to learn the principles of probabilistic modeling and statistical inference is to apply those principles to a variety of applications. That's why Ang and Tang's Second Edition of Probability Concepts in Engineering (previously titled Probability Concepts in Engineering Planning and Design) explains concepts and methods using a wide range of problems related to engineering and the physical sciences, particularly civil and environmental engineering.

Now extensively revised with new illustrative problems and new and expanded topics, this Second Edition will help you develop a thorough understanding of probability and statistics and the ability to formulate and solve real-world problems in engineering. The authors present each basic principle using different examples, and give you the opportunity to enhance your understanding with practice problems. The text is ideally suited for students, as well as those wishing to learn and apply the principles and tools of statistics and probability through self-study.
Key Features in this 2nd Edition:
* A new chapter (Chapter 5) covers Computer-Based Numerical and Simulation Methods in Probability, to extend and expand the analytical methods to more complex engineering problems.
* New and expanded coverage includes distribution of extreme values (Chapter 3), the Anderson-Darling method for goodness-of-fit test (Chapter 6), hypothesis testing (Chapter 6), the determination of confidence intervals in linear regression (Chapter 8), and Bayesian regression and correlation analyses (Chapter 9).
* Many new exercise problems in each chapter help you develop a working knowledge of concepts and methods.
* Provides a wide variety of examples, including many new to this edition, to help you learn and understand specific concepts.
* Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods, including developing computer codes using commercial software such as MATLAB and MATHCAD.
* Introduces and develops analytical probabilistic models and shows how to formulate engineering problems under uncertainty, and provides the fundamentals for quantitative risk assessment.