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Bowie
Founded in 1880 along the Southern Pacific Railroad line, Bowie is located in northern Cochise County. It was originally named Teviston after Capt. James H. Tevis, operator of the Butterfield Overland Stage Station. Later, the town was named after nearby Fort Bowie, which was the scene of many battles with the Chiricahua Apaches. In 1886, the Apaches, including Geronimo and Cochise's son Naiche, were loaded on trains in Bowie and sent to Florida as prisoners of war. The Indian Wars in America were over. Bowie became a major shipping point for the military and the mines. A beautiful train station with a first-class hotel and dining room served the thousands of passengers traveling through. Great soil, pleasant climate, and artesian wells attracted homesteaders who grew every kind of fruit and vegetable imaginable. Ranchers in the nearby mountains shipped cattle by hundreds of carloads at a time. After US Highway 86 was completed, Bowie became a favorite stopping point for travelers. Pecans, pistachios, and wine from local vineyards attract visitors today.
ELECTRIMACS 2022
This book collects a selection of papers presented at ELECTRIMACS 2021, the 14th international conference of the IMACS TC1 Committee, held in Nancy, France, on 16th-19th May 2022. The conference papers deal with modelling, simulation, analysis, control, power management, design optimization, identification and diagnostics in electrical power engineering. The main application fields include electric machines and electromagnetic devices, power electronics, transportation systems, smart grids, renewable energy systems, energy storage like batteries and supercapacitors, fuel cells, and wireless power transfer. The contributions included in Volume 1 will be particularly focused on electrical engineering simulation aspects and innovative applications.
History of International Broadcasting
Vol. 1 : The following topics are dealt with: radio instrument; foreign policy; information broadcasting; radio telephony; and wartime broadcasting.
The Lyon Terence
In The Lyon Terence Giulia Torello-Hill and Andrew J. Turner take an unprecedented interdisciplinary approach to map out the influence of late-antique and medieval commentary and iconographic traditions over this seminal edition of the plays of Terence, published in Lyon in 1493, and examine its legacy. The work had a profound impact on the way Terence’s plays were read and understood throughout the sixteenth century, but its influence has been poorly recognised in modern scholarship. The authors establish the pivotal role that this book, and its editor Badius, played in the revitalisation of the theoretical understanding of classical comedy and in the revival of the plays of Terence that foreshadowed the establishment of early modern theatre in Italy and France.
Climatological Data
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Electrical Machines Diagnosis
Monitoring and diagnosis of electrical machine faults is a scientific and economic issue which is motivated by objectives for reliability and serviceability in electrical drives. This book provides a survey of the techniques used to detect the faults occurring in electrical drives: electrical, thermal and mechanical faults of the electrical machine, faults of the static converter and faults of the energy storage unit. Diagnosis of faults occurring in electrical drives is an essential part of a global monitoring system used to improve reliability and serviceability. This diagnosis is performed with a large variety of techniques: parameter estimation, state observation, Kalman filtering, spect...
Climate Change and Energy Dynamics in the Middle East
This edited volume presents chapters on the dynamics of global climate change and global warming in the Middle East. In this region, it should be noted that even slightly warmer weather can result in an increased demand of energy along with its lower supply, as well as lower labor productivity. This text focuses on modeling, simulation, system dynamics, and agent-based modeling in dealing with these issues. The latest decision making tools, techniques, and innovative solutions used to overcome these challenges are presented. Many distinguished researchers contribute their work herein. The audience for this volume includes policy makers, researchers, and students unified by the common goal of making better decisions in the sustainable production and consumption of energy. The practical orientation of the chapters within each part is intended to suit the practitioners: managers and decision makers in the energy sector of the Middle East region.
A Companion to Wace
Table of contents
Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.
