The problem of time‐series discrimination and classification is discussed. We propose a novel clustering algorithm based on a class of quasi U‐statistics and subgroup decomposition tests. The decomposition may be applied to any concave time‐series distance. The resulting test statistics are proven to be asymptotically normal for either i.i.d. or non‐identically distributed groups of time‐series under mild conditions. We illustrate its empirical performance on a simulation study and a real data analysis. The simulation setup includes stationary vs. stationary and stationary vs. non‐stationary cases. The performance of the proposed method is favourably compared with some of the most common clustering measures available.

O Censo 2010 traz diversos dados que permitem uma análise mais pormenorizada da dinâmica populacional indígena, possibilitando novos debates e acumulação de conhecimento sobre esta. Assim, com base nestes dados este trabalho pretende entender as principais dinâmicas da população indígena no município de Altamira, Estado do Pará, em específico os indígenas residentes na sede municipal e, em especial, as populações Arara, Juruna, Kuruaya e Xipaya. Uma análise histórica da cidade mostra a presença crescente de diversos grupos
indígenas, que nos últimos anos passou e ainda passa por um processo de etnogênese. Para compreendermos de maneira mais ampla os processos pelos quais esta população passou e passa, incorporaremos à análise o Estudo de Impacto Ambiental (EIA) da usina hidrelétrica de Belo Monte, que nos ajuda a traçar de maneira mais precisa a situação atual desta.

Data-driven methodologies have recently emerged as an important paradigm alternative to model-based controller design and several such methodologies are formulated as an H2 performance optimization. This book presents a comprehensive theoretical treatment of the H2 approach to data-driven control design. The fundamental properties implied by the H2 problem formulation are analyzed in detail, so that common features to all solutions are identified. Direct methods (VRFT) and iterative methods (IFT, DFT, CbT) are put under a common theoretical framework. The choice of the reference model, the experimental conditions, the optimization method to be used, and several other designer?s choices are crucial to the quality of the final outcome, and firm guidelines for all these choices are derived from the theoretical analysis presented. The practical application of the concepts in the book is illustrated with a large number of practical designs performed for different classes of processes: thermal, fluid processing and electromechanical.

The design of Assistive Technology products has different technological routes such as massive products or custom products. These products aim at optimize the altered bodily functions. With that it can re-conduct these people to varied social activities. In this sense, the present article focuses on contribute in the construction of new technological routes for the manufacturing of wheelchair custom seats. The methodology includes the application of concepts such as tridimensional digitizing, CNC machining and thermography. Those techniques have the purpose of generating and analyzing seats made from user’s anthropometric data.