This book reports on the latest findings in the application of the wide area measurement systems (WAMS) in the analysis and control of power systems. The book collects new research ideas and achievements including a delay-dependent robust design method, a wide area robust coordination strategy, a hybrid assessment and choice method for wide area signals, a free-weighting matrices method and its application, as well as the online identification methods for low-frequency oscillations. The main original research results of this book are a comprehensive summary of the authors' latest six-year study. The book will be of interest to academic researchers, R&D engineers and graduate students in power systems who wish to learn the core principles, methods, algorithms, and applications of the WAMS.

A compelling profile of an emerging Chinese competitor Chinese firms are reinventing their business models, their corporate cultures, and themselves, becoming global competitors who increasingly offer knowledge rather than cheap labour in their quest to join the ranks of the "world's best" companies. This book offers a compelling profile of the most ambitious of these emerging Chinese competitors, the Haier Corporation (the world's largest manufacturer of home appliances), and shares insights on how one organization has repeatedly reinvented its business model and corporate culture in an effort to sustain its success. Reinventing Giants provides an exclusive look within the Haier Corporation and shows how managerial accountability and responsibility have been repositioned at every level of the organization, with the core value of market-centricity, while aligning strategy on each level of management. It includes actual work reports that show this process in detail from the ground up. The authors emphasize how a belief in the liberation of employee talent has consistently been the driving force underlying Haier's success. * Includes the remarkable story of Haier's turnaround and how these lessons can be applied to other organizations * Contains information for any company grappling with competition in the global marketplace * Shows how to liberate employees' talent to drive business success * Written by Bill Fischer, Professor of Innovation Management at IMD in Switzerland, Umberto Lago, Professor of Management at Bologna University, Italy, and Fang Liu, Research Associate of IMD Reinventing Giants helps global managers rethink their own business models and accompanying corporate cultures in order to be able to apply Haier's lessons directly to their own organizations.

Soils are composed of grains but they are generally treated as continua in the classical framework of geomechanics. Their macroscopic response under loading, such as their non-linearity, yielding and anisotropy, is controlled by their micro-structure, the characteristics of the grains and the disposition of contacts between them. There have been rapid advances in technology both to investigate the microscopic properties of soils, and to simulate their granular behaviour explicitly through Discrete Element Method (DEM). DEM was originally used to reproduce element tests, but it is now being advocated for boundary-value problems. Geomechanics and Geotechnics: From Micro to Macro includes 174 peer-reviewed papers presented at the International Symposium on Geomechanics and Geotechnics: From Micro to Macro (IS-Shanghai 2010, Shanghai, China, 10-12 October 2010). The symposium provided an opportunity for the exchange of ideas and information on experiments, numerical models and engineering applications related to the discrete nature of geomaterials. The main goal was to explore further advances in the use of micro-geomechanical approaches, and by doing so to improve the understanding of macro-geomechanical phenomena by offering experiments, constitutive relations, numerical analyses and engineering applications associated with the discrete nature of geomaterials. Geomechanics and Geotechnics: From Micro to Macro will be of interest to academics and engineers involved in Soil Mechanics, Geomechanics, Geotechnical Engineering, Geoengineering and Civil Engineering.

This book reports on the latest findings in the application of the wide area measurement systems (WAMS) in the analysis and control of power systems. The book collects new research ideas and achievements including a delay-dependent robust design method, a wide area robust coordination strategy, a hybrid assessment and choice method for wide area signals, a free-weighting matrices method and its application, as well as the online identification methods for low-frequency oscillations. The main original research results of this book are a comprehensive summary of the authors' latest six-year study. The book will be of interest to academic researchers, R&D engineers and graduate students in power systems who wish to learn the core principles, methods, algorithms, and applications of the WAMS.

This book aims for beginners who want to learn Artificial Intelligent Optimization Techniques and their implementation with MATLAB. If you follow the book chapter by chapter, you can manage those techniques and even develop your own techniques in a less than one year. Despite our focusing on beginners, advanced user can also benefit from the comprehensive models from part two of this book.

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition.