Advances in Multimedia and Network Information System by Tanja Woronowicz, Peter Hoffmann, Michael Boronowsky

By Tanja Woronowicz, Peter Hoffmann, Michael Boronowsky (auth.), Ngoc Thanh Nguyen, Aleksander Zgrzywa, Andrzej Czyżewski (eds.)

Growth of information, extraordinary within the background of the human race, ends up in the speedy improvement of expertise. The strategies that till rather lately remained within the area of science-fiction now develop into part of our lifestyle. details platforms and their applied sciences input the entire spheres of human’s life. Their impact is expanded via community connections and by way of multimedia shows and communications. Our purpose used to be to supply to the readers of this monograph a really extensive evaluation of the hot clinical difficulties in that region. trying to find their ideas had turned a crucial activity of diverse medical groups worldwide. getting ready this booklet now we have requested for cooperation many ecu learn groups. In impression the monograph is a set of conscientiously chosen and the main consultant – in our opinion - investigations, strategies, and functions awarded by means of varied clinical teams from 9 international locations. content material of the booklet has been divided into 5 components: 1. Multimedia info expertise 2. facts processing in details structures three. info procedure purposes four. internet structures and community applied sciences five. E-learning methodologies and systems. we are hoping that the booklet may be necessary for academics and scholars of informatics, machine technology, in addition to of different similar disciplines. we are going to be additionally more than happy if the publication conjures up the study neighborhood engaged on the Multimedia and community info platforms domain.

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Mikołajczak Fig. 8 Sample map of distribution of the correlation coefficient Fig. 9 Block diagram, the algorithm rotation’s angle and axis. 3 The Experimental Results In order to verify the efficiency of the method of determination of the rotation axis and angle between the images, the author performed a number of the tests. The idea of the tests was that a few reference images of various size (640x480, 1024x768 and 1600x1200 pixels) and 300 dpi resolution were purposely rotated by a given angle (α) around a given rotation axis (O) (so that the new images rotated in relation to the reference image were obtained).

Artificial Neural Network has been used to evaluate effectiveness of the proposed separation algorithms. e. 39%). Also, subjective listening tests were performed in order to determine whether the ANN-based results correspond with experts’ preferences. Results contained in this paper show that experts preferred successfully separated sounds over the unsuccessfully resolved ones. In the case of 84%, a significant majority of experts agreed with the decision of the recognition algorithm. Moreover, it has been shown that the ANN results are much more consistent with experts’ preferences than the energy-based error analysis results.

Mikołajczak Fig. 8 Sample map of distribution of the correlation coefficient Fig. 9 Block diagram, the algorithm rotation’s angle and axis. 3 The Experimental Results In order to verify the efficiency of the method of determination of the rotation axis and angle between the images, the author performed a number of the tests. The idea of the tests was that a few reference images of various size (640x480, 1024x768 and 1600x1200 pixels) and 300 dpi resolution were purposely rotated by a given angle (α) around a given rotation axis (O) (so that the new images rotated in relation to the reference image were obtained).

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