Menergy tells the story of a "post-disco" recording industry in San Francisco between the years 1978-1984. For most of America, disco died in 1979. Gay men, however, continued to dance, and in the gay enclave of the Castro neighborhood in San Francisco, enterprising gay DJs, record producers, and musicians started their own small dance music record labels to make up for the lack of new, danceable music. These independent labels' music did more than copy what the larger industry had been doing, however. Instead, the upstart companies built upon the musical experiments their roster of local musicians and producers had been exploring over the last several years, developing a distinctive style of its own. Known as "high energy," the music reveled in electronics, fast tempos, disco and DJ culture, and, above all, gay liberation as it had emerged over the previous decade in the Castro neighborhood by so called "Castro clones" (a gay subculture of exaggerated masculinity with a strong presence in the city's nightlife). The sound, like the new revolutionary ethos, derived its aesthetic from San Francisco's unique configuration of elements, but immediately this music had a reach far beyond the Bay, with Megatone Records, Moby Dick Records, and other labels achieving worldwide success with San Francisco artists such as Sylvester, Patrick Cowley, Paul Parker, Lisa, Loverde, and Jolo, creating the world's first gay-owned, gay-produced music for a dancing audience"--
Menergy tells the story of a "post-disco" recording industry in San Francisco between the years 1978-1984. For most of America, disco died in 1979. Gay men, however, continued to dance, and in the gay enclave of the Castro neighborhood in San Francisco, enterprising gay DJs, record producers, and musicians started their own small dance music record labels to make up for the lack of new, danceable music. These independent labels' music did more than copy what the larger industry had been doing, however. Instead, the upstart companies built upon the musical experiments their roster of local musicians and producers had been exploring over the last several years, developing a distinctive style of its own. Known as "high energy," the music reveled in electronics, fast tempos, disco and DJ culture, and, above all, gay liberation as it had emerged over the previous decade in the Castro neighborhood by so called "Castro clones" (a gay subculture of exaggerated masculinity with a strong presence in the city's nightlife). The sound, like the new revolutionary ethos, derived its aesthetic from San Francisco's unique configuration of elements, but immediately this music had a reach far beyond the Bay, with Megatone Records, Moby Dick Records, and other labels achieving worldwide success with San Francisco artists such as Sylvester, Patrick Cowley, Paul Parker, Lisa, Loverde, and Jolo, creating the world's first gay-owned, gay-produced music for a dancing audience"--
Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology. Its applications to engineering problems, such as those encountered in electrical power systems, are therefore challenging, while extremely promising. More and more data have become available, collected from the field by systematic archiving, or generated through computer-based simulation. To handle this explosion of data, automatic learning can be used to provide systematic approaches, without which the increasing data amounts and computer power would be of little use. Automatic Learning Techniques in Power Systems is dedicated to the practical application of automatic learning to power systems. Power systems to which automatic learning can be applied are screened and the complementary aspects of automatic learning, with respect to analytical methods and numerical simulation, are investigated. This book presents a representative subset of automatic learning methods - basic and more sophisticated ones - available from statistics (both classical and modern), and from artificial intelligence (both hard and soft computing). The text also discusses appropriate methodologies for combining these methods to make the best use of available data in the context of real-life problems. Automatic Learning Techniques in Power Systems is a useful reference source for professionals and researchers developing automatic learning systems in the electrical power field.
This text traces the creation and legacy of the BBC's electronic music studio, the Radiophonic Workshop, in the context of other studios in Europe and America.
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