In the latest years there has been a profound evolution in computer science and technology, which incorporated several fields. Under this evolution, Content Base Image Retrieval (CBIR) is among the image processing field. There are several image retrieval methods that can easily extract feature as a result of the image retrieval methods’ progresses. To the researchers, finding resourceful image retrieval devices has therefore become an extensive area of concern. Image retrieval technique refers to a system used to search and retrieve images from digital images’ huge database. In this paper, the author focuses on recommendation of a fresh method for retrieving image. For multi presentation of image in Convolutional Neural Network (CNN),

La vorágine es una novela insigne de la literatura colombiana e hispanoamericana que trata de manera singular el tema de la violencia. Este artículo propone una reflexión filosófica novedosa para abordar la violencia como objeto de conocimiento. Se plantea, en primer lugar, un nuevo enfoque a partir de la teoría literaria,enseguida se consideran aspectos del relato, tales como: la doble naturaleza del mundo, el absurdo y la dinámica autoproductiva de la violencia y con ayuda de varios autores, constatamos cómo estos mismos aspectos admiten nuevas aproximaciones. Este artículo nos lleva a pensar nuevas formas de ser y de actuar en el mundo a partir del modo como nos relacionamos con lo otro.

The rhetorical significance of history and the presentation of events through ages allow us to understand the mental changes and to investigate the evolution of the ideology of literary philosophy.                                                                                       

    Alfonso Sastre escribió La Sangre y la ceniza, su primera obra dentro de la llamada “Tragedia Compleja” en los primeros años de la década de los sesenta, pero la primera edición no apareció hasta el año 1967 y fue en lengua italiana. Por causa de la censura la obra estuvo prohibida a lo largo de muchos años, finalmente su primera edición en castellano apareció en el número 1 de la revista Pipirijaina, en octubre del año 1976. El estreno tuvo lugar en el Teatro Villarroel de Barcelona en enero de 1977, a cargo del Colectivo de Teatro ‹‹El Búho›› el cual realizó con este espectáculo una gira por toda España y más tarde lo ha representado en los Festivales Internacionales de T

In the present paper, three reliable iterative methods are given and implemented to solve the 1D, 2D and 3D Fisher’s equation. Daftardar-Jafari method (DJM), Temimi-Ansari method (TAM) and Banach contraction method (BCM) are applied to get the exact and numerical solutions for Fisher's equations. The reliable iterative methods are characterized by many advantages, such as being free of derivatives, overcoming the difficulty arising when calculating the Adomian polynomial boundaries to deal with nonlinear terms in the Adomian decomposition method (ADM), does not request to calculate Lagrange multiplier as in the Variational iteration method (VIM) and there is no need to create a homotopy like in the Homotopy perturbation method (H

Abstract

 A surface fitting model is developed based on calorimeter data for two famous brands of household compressors. Correlation equations of ten coefficient polynomials were found as a function of refrigerant saturating and evaporating temperatures in range of (-35℃ to -10℃) using Matlab software for cooling capacity, power consumption, and refrigerant mass flow rate.

Additional correlations equations for these variables as a quick choice selection for a proper compressor use at ASHRAE standard that cover a range of swept volume range (2.24-11.15) cm³.

The result indicated that these surface fitting models are accurate with in ± 15% for 72 compressors model of cooling cap

Simulated annealing (SA) has been an effective means that can address difficulties related to optimization problems. is now a common discipline for research with several productive applications such as production planning. Due to the fact that aggregate production planning (APP) is one of the most considerable problems in production planning, in this paper, we present multi-objective linear programming model for APP and optimized by . During the course of optimizing for the APP problem, it uncovered that the capability of was inadequate and its performance was substandard, particularly for a sizable controlled problem with many decision variables and plenty of constraints. Since this algorithm works sequentially then the current state wi