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Record Nr. |
UNINA9910459314003321 |
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Titolo |
Alban Berg and his world [[electronic resource] /] / edited by Christopher Hailey |
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Pubbl/distr/stampa |
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Princeton, N.J., : Princeton University Press, 2010 |
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ISBN |
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1-282-93646-8 |
9786612936463 |
1-4008-3647-6 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (381 p.) |
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Collana |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Composers - Austria |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Frontmatter -- Contents -- Preface and Acknowledgments -- Permissions and Credits -- Berg's Worlds / Hailey, Christopher -- Hermann Watznauer's Biography of Alban Berg / Chadwick, Nick -- A Descriptive Overview of Berg's Night (Nocturne) / Busch, Regina / Hailey, Christopher -- Berg and the Orchestra / Beaumont, Antony -- " . . . deinen Wuchs wie Musik": Portraits, Identities, and the Dynamics of Seeing in Berg's Operatic Sphere / Lee, Sherry D. -- "Remembrance of things that are to come": Some Reflections on Berg's Palindromes / Jarman, Douglas -- 1934, Alban Berg, and the Shadow of Politics: Documents of a Troubled Year / Notley, Margaret -- Alban Berg zum Gedenken: The Berg Memorial Issue of 23: A Viennese Music Journal / Devoto, Mark -- Alban Berg and the Memory of Modernism / Botstein, Leon -- Index -- Notes on the Contributors -- Backmatter |
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Sommario/riassunto |
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Alban Berg and His World is a collection of essays and source material that repositions Berg as the pivotal figure of Viennese musical modernism. His allegiance to the austere rigor of Arnold Schoenberg's musical revolution was balanced by a lifelong devotion to the warm sensuousness of Viennese musical tradition and a love of lyric utterance, the emotional intensity of opera, and the expressive nuance |
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of late-Romantic tonal practice. The essays in this collection explore the specific qualities of Berg's brand of musical modernism, and present newly translated letters and documents that illuminate his relationship to the politics and culture of his era. Of particular significance are the first translations of Berg's newly discovered stage work Night (Nocturne), Hermann Watznauer's intimate account of Berg's early years, and the famous memorial issue of the music periodical 23. Contributors consider Berg's fascination with palindromes and mirror images and their relationship to notions of time and identity; the Viennese roots of his distinctive orchestral style; his links to such Viennese contemporaries as Alexander Zemlinsky, Franz Schreker, and Erich Wolfgang Korngold; and his attempts to maneuver through the perilous shoals of gender, race, and fascist politics. The contributors are Antony Beaumont, Leon Botstein, Regina Busch, Nicholas Chadwick, Mark DeVoto, Douglas Jarman, Sherry Lee, and Margaret Notley. Bard Music Festival: ? Berg and His WorldBard CollegeAnnandale-on-Hudson, New YorkAugust 13-15, 2010 and August 20-22, 2010 |
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2. |
Record Nr. |
UNINA9910141509303321 |
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Autore |
Farrar C. R (Charles R.) |
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Titolo |
Structural health monitoring [[electronic resource] ] : a machine learning perspective / / Charles R. Farrar, Keith Worden |
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Pubbl/distr/stampa |
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Chichester, West Sussex, U.K. ; ; Hoboken, N.J., : Wiley, 2013 |
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ISBN |
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1-118-44311-X |
1-299-18678-5 |
1-118-44320-9 |
1-118-44321-7 |
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Descrizione fisica |
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1 online resource (655 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Structural health monitoring |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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STRUCTURAL HEALTH MONITORING; Contents; Preface; Acknowledgements; 1 Introduction; 1.1 How Engineers and Scientists Study Damage; 1.2 Motivation for Developing SHM Technology; 1.3 Definition of Damage; 1.4 A Statistical Pattern Recognition Paradigm for SHM; 1.4.1 Operational Evaluation; 1.4.2 Data Acquisition; 1.4.3 Data Normalisation; 1.4.4 Data Cleansing; 1.4.5 Data Compression; 1.4.6 Data Fusion; 1.4.7 Feature Extraction; 1.4.8 Statistical Modelling for Feature Discrimination; 1.5 Local versus Global Damage Detection; 1.6 Fundamental Axioms of Structural Health Monitoring |
1.7 The Approach Taken in This BookReferences; 2 Historical Overview; 2.1 Rotating Machinery Applications; 2.1.1 Operational Evaluation for Rotating Machinery; 2.1.2 Data Acquisition for Rotating Machinery; 2.1.3 Feature Extraction for Rotating Machinery; 2.1.4 Statistical Modelling for Damage Detection in Rotating Machinery; 2.1.5 Concluding Comments about Condition Monitoring of Rotating Machinery; 2.2 Offshore Oil Platforms; 2.2.1 Operational Evaluation for Offshore Platforms; 2.2.2 Data Acquisition for Offshore Platforms; 2.2.3 Feature Extraction for Offshore Platforms |
2.2.4 Statistical Modelling for Offshore Platforms2.2.5 Lessons Learned from Offshore Oil Platform Structural Health Monitoring Studies; 2.3 Aerospace Structures; 2.3.1 Operational Evaluation for Aerospace Structures; 2.3.2 Data Acquisition for Aerospace Structures; 2.3.3 Feature Extraction and Statistical Modelling for Aerospace Structures; 2.3.4 Statistical Models Used for Aerospace SHM Applications; 2.3.5 Concluding Comments about Aerospace SHM Applications; 2.4 Civil Engineering Infrastructure; 2.4.1 Operational Evaluation for Bridge Structures |
2.4.2 Data Acquisition for Bridge Structures2.4.3 Features Based on Modal Properties; 2.4.4 Statistical Classification of Features for Civil Engineering Infrastructure; 2.4.5 Applications to Bridge Structures; 2.5 Summary; References; 3 Operational Evaluation; 3.1 Economic and Life-Safety Justifications for Structural Health Monitoring; 3.2 Defining the Damage to Be Detected; 3.3 The Operational and Environmental Conditions; 3.4 Data Acquisition Limitations; 3.5 Operational Evaluation Example: Bridge Monitoring; 3.6 Operational Evaluation Example: Wind Turbines |
3.7 Concluding Comment on Operational EvaluationReferences; 4 Sensing and Data Acquisition; 4.1 Introduction; 4.2 Sensing and Data Acquisition Strategies for SHM; 4.2.1 Strategy I; 4.2.2 Strategy II; 4.3 Conceptual Challenges for Sensing and Data Acquisition Systems; 4.4 What Types of Data Should Be Acquired?; 4.4.1 Dynamic Input and Response Quantities; 4.4.2 Other Damage-Sensitive Physical Quantities; 4.4.3 Environmental Quantities; 4.4.4 Operational Quantities; 4.5 Current SHM Sensing Systems; 4.5.1 Wired Systems; 4.5.2 Wireless Systems; 4.6 Sensor Network Paradigms |
4.6.1 Sensor Arrays Directly Connected to Central Processing Hardware |
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Sommario/riassunto |
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Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process |
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