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Author: Anna Timofiejczuk
Publisher: Springer
ISBN: 3319619276
Category : Technology & Engineering
Languages : en
Pages : 366
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Book Description
This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.
Author: Anna Timofiejczuk
Publisher: Springer
ISBN: 3319619276
Category : Technology & Engineering
Languages : en
Pages : 366
Get Book Here
Book Description
This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.
Author: Sanjit Mitra
Publisher: Academic Press
ISBN: 9780125004510
Category : Computers
Languages : en
Pages : 480
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Book Description
This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.
Author: Bidyut B. Chaudhuri
Publisher: Springer Science & Business Media
ISBN: 184628726X
Category : Computers
Languages : en
Pages : 473
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Book Description
This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.
Author: Raghunath S. Holambe
Publisher: Springer Science & Business Media
ISBN: 1461415055
Category : Technology & Engineering
Languages : en
Pages : 109
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Book Description
Advances in Non-Linear Modeling for Speech Processing includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. Non-linear aeroacoustic modeling approach is used to estimate the important fine-structure speech events, which are not revealed by the short time Fourier transform (STFT). This aeroacostic modeling approach provides the impetus for the high resolution Teager energy operator (TEO). This operator is characterized by a time resolution that can track rapid signal energy changes within a glottal cycle. The cepstral features like linear prediction cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are computed from the magnitude spectrum of the speech frame and the phase spectra is neglected. To overcome the problem of neglecting the phase spectra, the speech production system can be represented as an amplitude modulation-frequency modulation (AM-FM) model. To demodulate the speech signal, to estimation the amplitude envelope and instantaneous frequency components, the energy separation algorithm (ESA) and the Hilbert transform demodulation (HTD) algorithm are discussed. Different features derived using above non-linear modeling techniques are used to develop a speaker identification system. Finally, it is shown that, the fusion of speech production and speech perception mechanisms can lead to a robust feature set.
Author: W.J. Hardcastle
Publisher: Springer Science & Business Media
ISBN: 9400920377
Category : Language Arts & Disciplines
Languages : en
Pages : 454
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Book Description
Speech sound production is one of the most complex human activities: it is also one of the least well understood. This is perhaps not altogether surprising as many of the complex neurological and physiological processes involved in the generation and execution of a speech utterance remain relatively inaccessible to direct investigation, and must be inferred from careful scrutiny of the output of the system -from details of the movements of the speech organs themselves and the acoustic consequences of such movements. Such investigation of the speech output have received considerable impetus during the last decade from major technological advancements in computer science and biological transducing, making it possible now to obtain large quantities of quantative data on many aspects of speech articulation and acoustics relatively easily. Keeping pace with these advancements in laboratory techniques have been developments in theoretical modelling of the speech production process. There are now a wide variety of different models available, reflecting the different disciplines involved -linguistics, speech science and technology, engineering and acoustics. The time seems ripe to attempt a synthesis of these different models and theories and thus provide a common forum for discussion of the complex problem of speech production. Such an activity would seem particularly timely also for those colleagues in speech technology seeking better, more accurate phonetic models as components in their speech synthesis and automatic speech recognition systems.
Author: Iowa. Supreme Court
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 662
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Book Description
Author: Geological Survey of Arkansas
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 502
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Book Description
Author: Dong Zhen
Publisher: Springer Nature
ISBN: 3030757935
Category : Technology & Engineering
Languages : en
Pages : 949
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Book Description
This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network (IncoME-V & CEPE Net-2020), held in Zhuhai, China on October 23-25, 2020. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.
Author: Phil Farrand
Publisher: Dell
ISBN: 0440333849
Category : Performing Arts
Languages : en
Pages : 576
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Book Description
The truth is, the nits are out there.... What's weird about Samantha T. Mulder's birthday? (She has two of them: January 22 and November 21.) What's amazing about Mulder's cell phone? (It operates inside a metal boxcar, buried in a canyon, out in the deserts of New Mexico: anywhere!) Scully and Mulder, you have reason to be paranoid. Armed with keen detective sense, attention to detail, and a VCR, author Phil Farrand has done some forensic work of his own and dissected every technical foul-up, plot oversight, and alien intrusion on the X-Files(r). Paranormal he's not, but he'd like to know why T.A. Berube has a six-digit zip code or how the VCRs at the 2400 Court motel in Braddock Heights, Maryland, can play a tape after it's been ejected. Nitpicking? You bet. So join his conspiracy to have hours of mental stimulation and fun with: Equipment flubs Changed premises Plot oversights Fun facts Trivia questions Reviews of every show for all four seasons And more
Author: Bhabesh Deka
Publisher: Springer Nature
ISBN: 3030348725
Category : Computers
Languages : en
Pages : 623
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Book Description
The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.
