The nuclear fragmentation data obtained from 24Mg -Em interaction at 4.5 AGeV is analyzed to perform dynamical fluctuation and hence multifractal characters using the modified q G moment method. The calculated values of the generalized fractal dimension q D, are found to decrease with the increasing order of moments, q. The analysis clearly shows the existence of dynamical fluctuation thereby indicating multifractal behavior in the fragments charge distribution.

The objective of this work is to evaluate the potential of alternative energy technologies to increase electricity access in rural areas of Sudan . one of these alternative energy technologies is renewable energy mini-grids. One of the rural areas in Sudan is Arquit village, Sinkat area, Red Sea state; we suggest building 7.5 MW solar system mini-grids at Arquit village. In Arquit village, the maximum and minimum electricity production from solar energy are expected during March, and December respectively. In Summer the days are longer for solar electricity production, while in the winter months, October to February, production of solar electricity does not take place after 5 a.m. Therefore, energy storage is needed to fill the gap in supply during the summer and winter months or use wind energy for electricity production

The characterization of minerals in sediments collected from Pattipulam to Devanampattinam of the East Coast of Tamilnadu, India was carried out using FT-IR spectroscopic technique. The minerals identification was done by using the band position of IR absorption peaks from the available literatures. The minerals such as quartz, microcline, orthoclase, albite, kaolinite, montmorlinite, calcite, aragonite and organic carbon are identified. From the analysis. quartz was identified as a major mineral and kaolinite, montmorlinite, calcite, and aragonite accessory minerals from the presence of a number of peaks. FT-IR spectroscopy was a powerful tool for the mineral analysis of coastal sediments from the analysis.

This paper presents a rotation-invariant detector and descriptor, using fuzzy-SURF (SpeededUp Robust Features). Fuzzy SURF helps to increase the schemes with respect to continuous, distinctiveness, and vigorous, which are comparatively much faster. Muzzle (viz. Nose) patterns are the asymmetrical features of the skin of cattle on its surface. The muzzle pattern can be considered as a biometric identifier for cattle. Image convolutions are done by relying on integral images; by building on the strengths of the leading detectors and descriptors (especially a detector based on Hessian matrix and a distribution descriptor); and by matching with fuzzy similarity measure. This leads to a combination of novel detection, description, and matching steps. The paper encircles a detailed description of the detector and descriptor and then explores the effects of the most important parameters

Our work is concerned with the Galerkin projection method for the numerical solution of partial differential equations (PDEs). In particular, those which include polynomial basis function and finite element basis. Polynomial basis function should be avoided and the reason behind that is presented. Also, we will see that the Galerkin method plays an important role in integrals of functions that can easily be evaluated on the domain. In addition, the Galerkin method presents a high-order approximation. Smart problems are presented for clarification and signification on their properties, and proof of some tricky inequalities

In this paper, we discuss the arithmetic mean of the operation of Trapezoidal Fuzzy Numbers (TrFNs). We also explain the value of both Trapezoidal and Triangular Fuzzy Numbers (TFNs). Then we propose a new multi-criteria fuzzy decision-making model based on the value of fuzzy numbers which in turn will be very helpful in developing fuzzy expert systems. Here arithmetic means the operation of fuzzy numbers is used for compiling experts’ judgments.