Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova,'s Artificial Intelligence Perspectives and Applications: PDF

By Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, Petr Silhavy

ISBN-10: 331918475X

ISBN-13: 9783319184753

ISBN-10: 3319184768

ISBN-13: 9783319184760

This quantity relies at the learn papers offered within the 4th machine technological know-how online Conference.

The quantity man made Intelligence views and functions offers new ways and strategies to real-world difficulties, and specifically, exploratory learn that describes novel methods within the box of man-made intelligence. specific emphasis is laid on sleek traits in chosen fields of curiosity. New algorithms or equipment in numerous fields also are presented.

The computing device technological know-how online convention (CSOC 2015) is meant to supply a world discussion board for discussions at the newest high quality learn leads to all parts with regards to machine Science.

The addressed themes are the theoretical elements and purposes of computing device technological know-how, synthetic Intelligences, Cybernetics, Automation keep watch over idea and software program Engineering.

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Artificial Intelligence Perspectives and Applications: by Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, PDF

This quantity is predicated at the study papers offered within the 4th desktop technological know-how online convention. the amount man made Intelligence views and functions provides new ways and techniques to real-world difficulties, and particularly, exploratory learn that describes novel methods within the box of synthetic intelligence.

Additional info for Artificial Intelligence Perspectives and Applications: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol 1: Artificial Intelligence Perspectives and Applications

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These patterns contain at most two bitwise transitions from 0 to 1 or vice versa for a circular binary pattern. For instance, ‘00000000’ (0 transition), ‘01111100’ (2 transitions), and ‘10001111’ (2 transitions) patterns are uniform while ‘11001110’ pattern is not uniform due to its four bit transitions. The uniform patterns can be used to find the pixels that belong some texture primitives such as spot, flat area, edge, and u2 , which was mentioned in [3]. corner. It can be denoted as LBP(P,R) LBP Feature and Distance Measurement.

References 1. : 2D and 3D face recognition: A survey. Pattern Recognition Letters 28(14), 1885–1906 (2007) 2. : Face recognition with local binary patterns. , Matas, J. ) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004) 3. : Face description with local binary patterns: Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(12), 2037–2041 (2006) 4. : Face recognition from one example view. In: Proceedings of the Fifth International Conference on Computer Vision, pp.

Number of tasks missing their deadlines progression for P0 processor Fig. 6. System power consumption progression 5 Conclusion In this paper, we presented a new approach to resolve the scheduling and allocation problems in real time embedded systems with periodic tasks using cellular automata. Our CA is 2D grid. We defined three local rules to change the state of cells. These rules try to optimize power consumption, balancing usage ratios of processors and minimize the number of tasks missing their deadlines.

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Artificial Intelligence Perspectives and Applications: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), Vol 1: Artificial Intelligence Perspectives and Applications by Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, Petr Silhavy


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