How and where to go beyond the standard model : proceedings by Antonino Zichichi, Gilda Scioli PDF

By Antonino Zichichi, Gilda Scioli

ISBN-10: 9812708421

ISBN-13: 9789812708427

This quantity is a suite of lectures given in the course of the forty second process the overseas tuition of Subnuclear Physics. The contributions disguise the latest advances in theoretical physics and the most recent effects from present experimental facilities.In line with one of many goals of the varsity, that is to motivate and advertise younger physicists to accomplish attractiveness at a world point, the scholars' well-known for his or her examine excellence got the chance to submit their paintings during this quantity. Their contributions are joined via these from many special academics within the box from worldwide.

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In: Proceedings of 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Seattle, USA pp. 1393-1394 (1989). 2. : Measurement system for swallowing based on impedance pharyngography and swallowing sound. In: Proceedings of 17th IEEE Instrumentation and Measurement Technology Conference, Baltimore, Maryland, USA pp. 191-194 (2000). 3. : Automated classification of swallowing and breath sounds. In: Proceedings of 26th Annual International Conference of the Engineering in Medicine and Biology Society, San Francisco, California, USA pp.

Paired t-test [16] for mean recognition rate was used to evaluate significance of difference in recognition rates for CWT and STFT with null hypothesis of no difference in recognition rates and alternative of mean recognition rate for CWT being higher than the one for STFT. P-values and 95% lower bounds for mean difference are presented in Table 1. 4 Discussion Obtained results suggest high efficiency and reliability of the proposed method, though tests on a larger database would be needed for a conclusive proof.

Figure 2 Examples of scalograms of (columns): a) swallowing sounds b) talking, c) head movements, d) outlier sounds. 3 LIRA Neural Classifier LIRA neural classifier was developed on the basis of the Rosenblatt perceptron [15]. The three-layer Rosenblatt perceptron consists of the sensor S-layer, associative A-layer and the reaction R-layer. The first S-layer corresponds to the input image or in our case, a spectrogram or a scalogram. The second A-layer corresponds to the feature extraction subsystem.

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How and where to go beyond the standard model : proceedings of the International School of Subnuclear Physics by Antonino Zichichi, Gilda Scioli


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