By Abdelmalek Amine, Ladjel Bellatreche, Zakaria Elberrichi, Erich J. Neuhold, Robert Wrembel
This booklet constitutes the refereed complaints of the fifth IFIP TC five overseas convention on computing device technology and Its purposes, CIIA 2015, held in Saida, Algeria, in might 2015. The fifty six revised papers offered have been conscientiously reviewed and chosen from 225 submissions. The papers are equipped within the following 4 learn tracks: computational intelligence; safety and community expertise; details expertise; and software program engineering.
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Extra info for Computer Science and Its Applications: 5th IFIP TC 5 International Conference, CIIA 2015, Saida, Algeria, May 20-21, 2015, Proceedings
E. agents) by message passing, in addition to classical features of concurrent processes. In our case the basic LOTOS is sufficient for what we intend to present. Paper outlines. In Section 2, the specification of coordinated MAS plans is presented, based on LOTOS concepts, the relative time rates are explained and our running example is built. In Section 3, the daTA model is recalled, its extension to relative time is defined and an informal meaner of generating daTA structure from LOTOS expression is shown.
Each → − vector of solution G represents potential values of the coeﬃcients (a, b, c, d) in the generator function. At each iteration, every solution vector is applied to a → − sample vector X with the original D-dimensions of the problem. The sample vector is drawn from a uniform distribution and has equaly spaced intervals between each dimension and another. Finally, one has to apply the following formula on the resulting vector : xij = 1 , If g(xij ) 0 , Otherwise 0 (17) Sigmoid Function (SF): In this technique, each real valued dimension of the solution vector is mapped into a strictly binary valued one [7,8].
Distributed Timed Automata with Independently Evolving Clocks. dz Abstract. Face recognition is considered as one of the best biometric methods used for human identification and verification; this is because of its unique features that differ from one person to another, and its importance in the security field. This paper proposes an algorithm for face recognition and classification using a system based on WPD, fractal codes and two-dimensional subspace for feature extraction, and Combined Learning Vector Quantization and PNN Classifier as Neural Network approach for classification.