The series tells the story of two families - Terra and Cambará -, and how they evolve through 200 years of history, from 1745 to 1945. Living in the state of Rio Grande do Sul, in southern Brazil, both families experience the transformations of the country.
Something inexplicable lurks at the centre of the local landfill site and its influence is growing. Is it simply an unauthorized experiment with bioremediation or the beginning of the gravest threat ever presented to humanity? Intimately involved with the investigations, Bradley is also asking questions about the nature of Self and reality. In this he is tutored by the enigmatic Krishna who communicates only via computer and seems to know an awful lot about toxic waste... Interwoven with this compulsive and exciting story is an informed introduction to the philosophy of Advaita. Achieving a unique and paradoxical mixture of material annihilation and spiritual fulfilment, this novel is a metaphor for the play of our own lives and highlights the essentially dreamlike nature of the waking world.
It is 1613 and Heidelberg greets the dawn of a promising, magical age as it welcomes a beautiful English princess. But the promise is false and soon all of central Europe writhes in rebellion and war. Wind Time, Wolf Time follows the lives of two sisters and two brothers as they struggle to survive in treacherous times. Katerina and Anna, poor young women made bold by desperation, tie their destinies to that of their ill-starred princess. Meanwhile, Thomas and Josef, sons of a Munich merchant, discover the secrets of their bitter past as they cross paths with princes and rogues.
This brief is a clear, concise description of the main techniques of time series analysis —stationary, autocorrelation, mutual information, fractal and multifractal analysis, chaos analysis, etc.— as they are applied to the influence of wind speed and solar radiation on the production of electrical energy from these renewable sources. The problem of implementing prediction models is addressed by using the embedding-phase-space approach: a powerful technique for the modeling of complex systems. Readers are also guided in applying the main machine learning techniques for classification of the patterns hidden in their time series and so will be able to perform statistical analyses that are not possible by using conventional techniques. The conceptual exposition avoids unnecessary mathematical details and focuses on concrete examples in order to ensure a better understanding of the proposed techniques. Results are well-illustrated by figures and tables.
Follows 150 years of family Terra Cambará and their opponent Amaral family. The history of struggles between the two families begins in the missions and runs until the end of the 19th century. Living in the state of Rio Grande do Sul, in southern Brazil, both families experience the transformations of the country.
Given a series of wind speeds and directions from the port of Fremantle the aim of this monograph is to detect general weather patterns and seasonal characteristics. To separate the daily land and sea breeze cycle and other short-term disturbances from the general wind, the series is divided into a daily and a longer term, synoptic component. The latter is related to the atmospheric pressure field, while the former is studied in order i) to isolate particular short-term events such as calms, storms and oscillating winds, and ii) to determine the land and sea breeze cycle which dominates the weather pattern for most of the year. All these patterns are described in detail and are related to the synoptic component of the data. Two time series models for directional data and a new measure of angular association are introduced to provide the basis for certain parts of the analysis.