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Advances in Computer and Information Sciences and by Tarek Sobh

By Tarek Sobh

Advances in desktop and data Sciences and Engineering encompasses a set of conscientiously reviewed world-class manuscripts addressing and detailing cutting-edge learn initiatives within the parts of computing device technology, software program Engineering, laptop Engineering, and structures Engineering and Sciences. Advances in desktop and data Sciences and Engineering contains chosen papers from the convention court cases of the overseas convention on platforms, Computing Sciences and software program Engineering (SCSS 2007) which used to be a part of the foreign Joint meetings on machine, info and platforms Sciences and Engineering (CISSE 2007).

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The features used in this system are color, orientation, and intensity, and all the computations are performed on the images pyramid. The idea of using a weight function to combine feature maps, and also the center-surround mechanism are used in this system. In this section, we introduce VOCUS (Visual Object detection with a CompUtational attention System), developed by Frintrop [1]. It has many similarities to NVT system and it uses feature maps and saliency, Inhibition Of Return (IOR), which have been used also in many currently introduced systems.

In section 3 we present our work with enough details and then the tests and evaluation results are discussed in section 4. Finally we present the conclusions and our future works in section 5. II. RELATED WORK The increased interest on research on visual attention and simulation of human behaviour together with the increased processing power of computers has led to development of a wide variety of models and systems on visual attention. In this section, we first introduce several important models on visual attention, and then we will explain the VOCUS system, which our system is based on.

0025 Cr(VI)0 = 130mg/L 110 100 90 mg Cr(VI) / L mg Cr(VI) / L control law, the outlet concentration is equal to the desired value. The close loop curve presents a smooth behavior to reach the setpoint needed, without overshot and oscillation. 00 20 TIME (min) 10 0 -10 (a) 0 10 20 30 40 50 60 70 80 90 100 TIME (min) Fig. 5. Model performance with open and close loop. 5 In Fig. 6, it is possible to note that the estimated values of the reaction rate converge to the real values of the kinetic term.

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