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Title & Author

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Study at the reproductive cycle, GSI and Maturation of Liza Klunzingeri in Khuzestan coastal waters

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Seyedahmad reza Hashemi* , Mohamadtaghi Kashi and Hajat Safikhani

Abstract
This study was carried out in serimeh and Bahrekan from April 2009 to March 2010. A among total 1880 measured fish specimens, 947 specimens were analyzed. The mean value of length for the male and female were calculated as 17.97±1.15, 19.11±1.49 and mean value of Weight for the male and female was as73.43±13.71, 85.91±20.95 respectively. The mean value of Gonad somatic Index (GSI) for the male and female were calculated as 0.96 ± 1.39 and 3.25 ± 3.26 respectively. The highest GSI was observed in December for both sexes and the lowest GSI value for females was observed in May and in males it was observed in August and September. Length at maturity was 14.5 cm for bon length at maturity was identified in December and January. Catch closure in recommended in this period in Bahrekan area.

A LOW POWER LDO REGULATOR WITH SMALLOUTPUT VOLTAGEVARIATIONSAND HIGH PSRR IN 0.18μm CMOS TECHNOLOGY

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Ebrahim Abiri* , Mohammad Reza Salehi and Sara Mohammadalinejadi

Abstract
A low dropout voltage regulator with small output voltage variations and the ability of wide load current range support is proposed in this paper. In this LDO structure, a recycling folded cascode operational transconductance amplifier is used as an error amplifier, which has high transconductance and therefore high power efficiency. The designed LDO is simulated in 0.18 μm CMOS standard technology and has small output voltage variations about 48 mV for load current in the range of 0-150 mA. Simulation results show a favorable transient response behavior with 4.2 μs rise time and 160mV dropout voltage for current changing in the desirable range. It is shown that the LDO structure can support 0-150 mA load current range with reasonable output voltage variations. In addition, with the smaller load current ranges, the dropout voltage will be higher and the output voltage variations will be smaller.

Reduction of Information Loss Based on EMEE Scores to Maximize Visual Appeal and Rotation Parameters

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Tohid Sedghi

Abstract
In This paper, two training systems for selecting PLIP parameters have been demonstrated. The first compares the MSE of a high precision result to that of a low precision approximation in order to minimize loss of information. The second uses EMEE scores to maximize visual appeal and further reduce information loss. It was shown that, for the general case of basic addition, subtraction, or multiplication of any two images, γ, k, and λ = 1026 and β = 2 are effective parameter values. It was also found that, for more specialized cases, it can be effective to use the training systems outlined here for a more application-specific PLIP. Further, the case where different parameter values are used was shown, demonstrating the potential practical application of data hiding.

Robust and Comprehensive Image Classification Systems Using Gabor Wavelets and Shape Features for Categorizing Color Image

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Tohid Aribi

Abstract
In this paper a new and reliable method of improving retrieval performance, and which complement feature weighting is proposed. The system is comprehensive because it incorporates Wavelet filters of different grid sizes and flexible because the feature weights can be adjusted to achieve retrieval refinement according to user’s need and robust because the system’s algorithm is applicable to retrieval in all kinds of image database. In this paper, textural features derived from six grid sizes of independent and different Wavelet filter banks were incorporated into the CBIR system by taking advantage of the fact that each grid size of filter is suited to capture particular set of localized frequencyimages in diverse database.

Solution of the diffusion equation using Adomain decomposition

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Khaled S. M. Essa

Abstract
The objective is estimated the concentration of air pollution, by solving the atmospheric diffusion equation (ADE) using Adomain decomposition method. The solution depends on eddy diffusivity profile (K) and wind speed at the released point (u). We solve the ADE numerically in two dimensions using Adomain decomposition method, then, compared our results with observed data.