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Science communication, as a multidisciplinary field, has developed remarkably in recent years. It is now a distinct and exceedingly dynamic science that melds theoretical approaches with practical experience. Formerly well-established theoretical models now seem out of step with the social reality of the sciences, and the previously clear-cut delineations and interacting domains between cultural fields have blurred. Communicating Science in Social Contexts examines that shift, which itself depicts a profound recomposition of knowledge fields, activities and dissemination...

Independent Variables for Optical Surfacing Systems discusses the characterization and application of independent variables of optical surfacing systems and introduces the basic principles of surfacing technologies and common surfacing systems. All the pivotal variables influencing surface quality are analyzed; evaluation methods for surface quality, the removal capability of tool influence functions, and a series of novel optical surfacing systems are introduced. The book also particularly focuses on the multi-path mode and dwell time used for deterministic surfacing. Researchers...

Recognising the benefits of improved control, the second edition of Autotuning of PID Controllers provides simple yet effective methods for improving PID controller performance. The practical issues of controller tuning are examined using numerous worked examples and case studies in association with specially written autotuning MATLAB^(r) programs to bridge the gap between conventional tuning practice and novel autotuning methods.

The extensively revised second edition expands and refines on important work in the ubiquitous PID form of control with material...

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision.

Topics and features: provides a thorough introduction to the fundamentals of sparse representation, modeling and learning, and the application of these techniques in visual recognition; describes sparse recovery approaches, robust and efficient sparse...