- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 521 to 530 of 1706 (0.021 seconds)| 521 |
The Use of Audio-Visual Aids as Tools to Learning in the Social StudiesO'Brien, James F. January 1950 (has links)
No description available.
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| 522 |
Automated Accident Detection In Intersections Via Digital Audio Signal ProcessingBalraj, Navaneethakrishnan 13 December 2003 (has links)
The aim of this thesis is to design a system for automated accident detection in intersections. The input to the system is a three-second audio signal. The system can be operated in two modes: two-class and multi-class. The output of the two-class system is a label of ?crash? or ?non-crash?. In the multi-class system, the output is the label of ?crash? or various non-crash incidents including ?pile drive?, ?brake?, and ?normal-traffic? sounds. The system designed has three main steps in processing the input audio signal. They are: feature extraction, feature optimization and classification. Five different methods of feature extraction are investigated and compared; they are based on the discrete wavelet transform, fast Fourier transform, discrete cosine transform, real cepstrum transform and Mel frequency cepstral transform. Linear discriminant analysis (LDA) is used to optimize the features obtained in the feature extraction stage by linearly combining the features using different weights. Three types of statistical classifiers are investigated and compared: the nearest neighbor, nearest mean, and maximum likelihood methods. Data collected from Jackson, MS and Starkville, MS and the crash signals obtained from Texas Transportation Institute crash test facility are used to train and test the designed system. The results showed that the wavelet based feature extraction method with LDA and maximum likelihood classifier is the optimum design. This wavelet-based system is computationally inexpensive compared to other methods. The system produced classification accuracies of 95% to 100% when the input signal has a signal-to-noise-ratio of at least 0 decibels. These results show that the system is capable of effectively classifying ?crash? or ?non-crash? on a given input audio signal.
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| 523 |
SOUNDS WRITE: EMBRACING MULTIMODAL TEXTS AS LITERATE COMPOSITIONHawkins, Jill Suzanne 11 October 2011 (has links)
No description available.
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| 524 |
The Impact of Digital Audio Listening on Saudi Arabian English Language Learners' Speaking and ComprehensionAlotaibi, Nawal 25 April 2014 (has links)
No description available.
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| 525 |
Timestop: A Narrative Podcast SeriesNiemeyer, Liam 29 June 2018 (has links)
No description available.
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| 526 |
Generative Processes for AudificationJackson, Judith 14 December 2018 (has links)
No description available.
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| 527 |
Spatialized Audio and Landmarks in Team NavigationHampton, Andrew 21 August 2013 (has links)
No description available.
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| 528 |
Audio & Visual DesignDesigning Holistic Sensory Experiences within EnvironmentsSteele, Quintin Jon 15 August 2016 (has links)
No description available.
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| 529 |
The instructional materials center in teacher education /Gibbony, Hazel Lee January 1957 (has links)
No description available.
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| 530 |
Dog Smart Vest MicroprocessingBeitman, Bruce A. 19 June 2012 (has links)
No description available.
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