By the dawn of the new millennium, robotics has undergone a major tra- formation in scope and dimensions. This expansion has been brought about bythematurityofthe?eldandtheadvancesinitsrelatedtechnologies.From a largely dominant industrial focus, robotics has been rapidly expanding into the challenges of the human world. The new generation of robots is expected to safely and dependably co-habitat with humans in homes, workplaces, and communities, providingsupportinservices, entertainment, education, heal- care, manufacturing, and assistance. Beyond its impact on physical robots, the body of knowledge robotics has produced is revealing a much wider range of applications reaching across - verse researchareas and scienti?c disciplines, such as: biomechanics, haptics, neurosciences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are pr- ing an abundant source of stimulation and insights for the ?eld of robotics. It is indeed at the intersection of disciplines that the most striking advances happen. The goal of the series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their signi?cance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing ?
This book presents a radically new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems. This approach is based on the use of a family of Markov processes called Piecewise-Deterministic Processes (PDPs) as a general class of stochastic system models. A PDP is a Markov process that follows deterministic trajectories between random jumps, the latter occurring either spontaneously, in a Poisson-like fashion, or when the process hits the boundary of its state space. This formulation includes an enormous variety of applied problems in engineering, operations research, management science and economics as special cases; examples include queueing systems, stochastic scheduling, inventory control, resource allocation problems, optimal planning of production or exploitation of renewable or non-renewable resources, insurance analysis, fault detection in process systems, and tracking of maneuvering targets, among many others.
The level of quality that food maintains as it travels down the production-to-consumption path is largely determined by the chemical, biochemical, physical, and microbiological changes that take place during its processing and storage. Authored by an internationally respected food quality expert, Kinetic Modeling of Reactions in Foods demonstrates how to effectively capture these changes in an integrative fashion using mathematical models. Thus, kinetic modeling of food changes creates the possibility to control and predict food quality from a technological point of view.
Illustrating how kinetic modeling can predict and control food quality from farm to fork, this authoritative resource:
This essential reference is an indispensable guide to understanding all aspects of kinetic food modeling. Unlike many other kinetic volumes available, this book opens the door to the many untapped research opportunities in the food science realm where mathematical modeling can be applied.
This fashion photo book will light up your day with 30 stunningly dark photographs.
Catastrophe Modeling: A New Approach to Managing Risk is the first book that systematically analyzes how catastrophe models can be used for assessing and managing risks of extreme events. It focuses on natural disaster risk, but also discusses the management of terrorism risk. A unique feature of this book is the involvement of three leading catastrophe modeling firms, AIR Worldwide, EQECAT, and Risk Management Solutions, who examine the role of catastrophe modeling in rate setting, portfolio management and risk financing.
Using data from three model cities (Oakland, CA, Long Beach, CA and Miami/Dade County, FLA), experts from the Wharton School of the University of Pennsylvania examine the role of catastrophe modeling to develop risk management strategies for reducing and spreading the losses from future disasters. Given the uncertainties associated with terrorism the book points out the opportunities for utilizing catastrophe models to set insurance rates and to examine public-private partnerships for providing financial assistance in the event of a terrorist attack.
"This book fills a critical need in setting forth the role of modern risk analysis in managing catastrophe risk. There is no comparable reference work for this important subject area. The book is well written and well organized. It contains contributions from many of the most distinguished experts in the fields of risk analysis and risk management. It strikes a good balance between the technical aspects of the subject and the practical aspects of decision making."
"This book is strongly recommended for individuals who must make decisions regarding the management of impacts of catastrophe risks including those in both the public and private sector."
Wilfred D. Iwan
"The authors have captured the essence of catastrophe modeling: its value, its utility and its limitations. Every practitioner in the catastrophe risk field should read this book."
Franklin W. Nutter, President
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