Improving of Fingerprint Segmentation Images Based on K-MEANS and DBSCAN Clustering

Nowadays, the fingerprint identification system is the most exploited sector of biometric. Fingerprint image segmentation is considered one of its first processing stage. Thus, this stage affects typically the feature extraction and matching process which leads to fingerprint recognition system with high accuracy. In this paper, three major steps are proposed. First, Soble and TopHat filtering method have been used to improve the quality of the fingerprint images. Then, for each local block in fingerprint image, an accurate separation of the foreground and background region is obtained by K-means clustering for combining 5-dimensional characteristics vector (variance, difference of mean, gradient coherence, ridge direction and energy spectrum). Additionally, in our approach, the local variance thresholding is used to reduce computing time for segmentation. Finally, we are combined to our system DBSCAN clustering which has been performed in order to overcome the drawbacks of K-means classification in fingerprint images segmentation. The proposed algorithm is tested on four different databases. Experimental results demonstrate that our approach is significantly efficacy against some recently published techniques in terms of separation between the ridge and non-ridge region

Chaotic Behavior in a Switched Dynamical System

We present a numerical study of an example of piecewise linear systems that constitute a class of hybrid systems. Precisely, we study the chaotic dynamics of the voltage-mode controlled buck converter circuit in an open loop. By considering the voltage input as a bifurcation parameter, we observe that the obtained simulations show that the buck converter is prone to have subharmonic behavior and chaos. We also present the corresponding bifurcation diagram. Our modeling techniques are based on the new French native modeler and simulator for hybrid systems called Scicos (Scilab connected object simulator) which is a Scilab (scientific laboratory) package. The followed approach takes into account the hybrid nature of the circuit

PROBABILITY DISTRIBUTIONS OF WIND SPEED IN THE CAMPO GRANDE, MS, BRAZIL

The objective of this study is to model wind characteristics using twelve probability density functions: Weibull, Ralyeigh, Log-Logistics, Inverse Gaussian, Normal, Range, Extremely Generated, Extreme, Lognormal, Logistic, Burr and Rician. Four statistical criteria, coefficient of determination, mean square error, mean absolute error and mean absolute error are considered as judgment criteria to evaluate the adequacy of probability density functions. As a result, Weibull, Rayleigh, generalized extreme value, extreme value, and Rician distributions accurately perform data. These distributions can be used as an alternative distribution that adequately describes wind speed data in Campo Grande. The weaker settings are obtained by the Normal, Burr, Logistics, Log-Logistic, and Inverse Gaussian distributions

Estimation and Analysis of Wind Electricity Production Cost in Morocco

The goal of this investigation is to evaluate, analyze and compare the cost of energy produced at nine wind farms in Morocco, namely Tarfaya, Fem El Oued, Essaouira, Tangier I, Haouma, Koudia al Baïda, Laayoune, Tetouan I and Tetouan II. We report the economic factors that influence the wind energy cost. Then, we give an easy and precise economic methodology to estimate it. The conducted analysis reveals that the minimum cost is attained at Koudia al Baïda park which is equal to 0.0164 €/kWh. The good result is obtained also at Essaouira, Tetouan I and Fem El oued with a cost less than 0.03 €/kWh. The parks where the energy cost is between 0.03 €/kWh and 0.04‎ €/kWh are Haouma, Tarfaya, Tetouan II and Tangier I. The park that generates energy with more than 0.04‎ €/kWh is Laayoune. The sensitivity analysis reveals that for the studied wind farms, the variables which have a greatest effect on the estimated wind energy cost are the interest rate, the produced energy and the project lifetime. The estimated energy cost is not very sensitive to the variation on operation and maintenance costs. The obtained results show also that for all the studied wind farms, the obtained costs of producing one kWh of energy are less than the purchase tariff of electricity in Morocco and compare favorably with solar energy production cost in Morocco. Thus, wind energy is economically beneficial in Morocco, which is due to the important wind resources and the available concessional finance. Keywords: Investment cost; Operation and maintenance cost; Annualized cost; Interest rate; Capital recovery factor; Levelized cost of energy. JEL Classifications: E4; Q

Existence and regularity of local solutions to partial neutral functional differential equations with infinite delay

In this paper, we establish results concerning, existence, uniqueness, global continuation, and regularity of integral solutions to some partial neutral functional differential equations with infinite delay. These equations find their origin in the description of heat flow models, viscoelastic and thermoviscoelastic materials, and lossless transmission lines models; see for example [15] and [38]

On controllability of neutral functional differential equations with infinite delay

In this paper, we give sufficient conditions for controllability of a class of partial neutral functional differential equations with infinite delay. We suppose that the linear part is not necessarily densely defined but satisfies the resolvent estimates of the Hille-Yosida theorem. The results are obtained using the integrated semigroups theory. We also announce and avoid a serious problem in the two published papers [9] and [8

Semigroup Approach to Semilinear Partial Functional Differential Equations with Infinite Delay

We describe a semigroup of abstract semilinear functional differential equations with infinite delay by the use of the Crandall Liggett theorem. We suppose that the linear part is not necessarily densely defined but satisfies the resolvent estimates of the Hille-Yosida theorem. We clarify the properties of the phase space ensuring equivalence between the equation under investigation and the nonlinear semigroup

Robust stability of stochastic systems with varying delays: application to RLC circuit with intermittent closed-loop

This paper characterizes the robust second-moment stability of stochastic linear systems subject to varying delays. The delays assume a particular form suitable to represent packet loss in networked control systems, under the zero-order hold feedback. The proposed robust stability condition requires checking the spectral radius of an appropriate matrix that that depends on uncertain parameters belonging to a polytope. Due to this polytope’s dependence, checking the spectral radius is difficult from the numerical viewpoint. As an attempt to solve the problem, we convert the polytope-based condition into a randomized approach. Namely, we present probability bounds that help us certificate the robust second-moment stability under high probability. A real-time electronic application illustrates the potential benefits of our approach.Peer ReviewedPostprint (author's final draft