PURKH (E-Journals)
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The Parody of Mathematics
Get PDFIn this very brief paper by precise statement the author has shown that numbers are a continuum in mathematics( mathematics has to be a continuum), and numbers do define all non-linear space by a set configuration at the very base of mathematics. The author has separately both by published papers and now a book on created mathematics defined this very basic fact that as created numbers and space are connected by the Pythagoras 1:3 configuration. The paper itself is constrained to the observation of the 1,3 as base ligands in the mathematical sense
Micro Finance Development Though WSHGs: A study of Odisha Tegion
Get PDFIn measuring satisfaction, it was estimated that, even though the model fit looks positive, the significant predictor i.e. age factor, which is actually contribute a more towards satisfaction, because it shown a high standardized coefficient and are close to one and there is high multi co linearity and the standard error of the regression coefficients. So, here, standard error reveals a very low value. So these two variables were more elastic in nature during the period of study. Further, Beta (unstandardised) values indicated the growth and here it indicated a less value, means a less value of social capital with the total beneficiary in the WSHG in overall.
 
RLS Filter Using Covariance Information and RLS Wiener Type Filter based on Innovation Theory for Linear Discrete-Time Stochastic Descriptor Systems
Get PDFIt is known that the stochastic descriptor systems are transformed into the conventional state equation, the observation equation and the other equation, by using the singular value decomposition. Based on the preliminary problem formulation for the linear discrete-time stochastic descriptor systems in section 2, this paper, in Theorem 1, based on the innovation theory, proposes the recursive least-squares (RLS) filter using the covariance information of the state vector in the state equation and the covariance information of the observation noise in the observation equation. The state equation and the observation equation are transformed from the descriptor systems. Secondly, in Theorem 2, based on the innovation theory, this paper proposes the RLS Wiener type filter for the descriptor systems. It might be advantageous that these filtering algorithms in this paper are derived based on the innovation theory in a unified manner.
A numerical simulation example is demonstrated to show the estimation characteristics of the proposed RLS Wiener type filtering algorithm for the descriptor systems
An Artificial Human Optimization Algorithm titled Human Thinking Particle Swarm Optimization
Get PDFArtificial Human Optimization is a latest field proposed in December 2016. Just like artificial Chromosomes are agents for Genetic Algorithms, similarly artificial Humans are agents for Artificial Human Optimization Algorithms. Particle Swarm Optimization is very popular algorithm for solving complex optimization problems in various domains. In this paper, Human Thinking Particle Swarm Optimization (HTPSO) is proposed by applying the concept of thinking of Humans into Particle Swarm Optimization. The proposed HTPSO algorithm is tested by applying it on various benchmark functions. Results obtained by HTPSO algorithm are compared with Particle Swarm Optimization algorithm.  
Close-up Macro and Micro Photogrammetry and Image Perspective: A Comparative Studio on different Lenses at work with Small and Medium Size Object
Get PDFThe digital photogrammetry has renewed the approach to measurement for archaeologists, architects and many researchers, students, professionals in Cultural Heritage. Thus, most of the troubles coming from the more and more advanced software for photogrammetry processing came from purely photographic mistakes or poor knowledge about photographic tools. Here the focus will be on perspective and its influence in the result coming from medium and small size objects and finds. The study will present the results from the use of four different lenses for the same professional DSLR camera body: a Nikon D800e full frame 36 Megapixels, mounting the AF Micro-NIKKOR 60mm f/2.8D with 1:1 reproduction ratio (RT) (one of the best macro lens on the market), the Venus Laowa Micro 15mm f/4 with 1:1 RT (a quite economical super wide lens), a Nikkor Zoom 24-85mm AF with โmacroโ function (a classic in common set of lenses) and the classic Micro Nikkor 55mm F/2.8 with extension ring to reach the 1:1 RT (a piece of history of photography, the predecessor of the 60mm here in test). The full processing and procedure of matching the data will be presented to bring a useful contribution and reference for other scholars and operators
Designing a Customer Relationship Management System in Online Business
Get PDFWith the advancement of online shopping technology, it has become the first choice for most consumers. The activity of online stores in this competitive business space should be in line with the expectations of their customers. Understanding, collecting, maintaining and organize data in online stores makes it easier for managers to decide. So, in this research, we examine the textual and non-textual of user opinions and reviews. We use rapid miner software and text mining. In this research, the processes are aimed at finding active users, analyze the user type and their suggestions, analyzing the strengths and weaknesses of the products, and categorizing them with the K-NN and Naรฏve Bayes algorithms. Finally, suggestions were made to increase loyalty and improve business using the results obtained from the processes
Some Integral Representations for Certain Quadruple Hypergeometric Functions
Get PDFwe aim in this work at establishing new integral representations of Euler type for the Exton hypergeometric functions of four variables , the Sharma and Parihar hypergeometric functions of four variables and the Lauricella function of four variables , whose kernels include the quadruple hypergeometric functions defined in [1]. Some particular cases and consequences of our main results are also considered.
 
Missing at random in nonparametric regression for functional stationary ergodic data in the functional index model
Get PDFThe main objective of this paper is to estimate non-parametrically the the estimator for the regression function operator when the observations are linked with a single-index. The functional stationary ergodic data with missing at random (MAR) are considered.In particular, we construct the kernel type estimator of the regression operator, some asymptotic properties such as the convergence rate in probability as well as the asymptotic normality of the estimator are established under some mild conditions respectively. As an application, the asymptotic confidence interval of the regression operator is also presented for $0 < \zeta < 1.
Recent Trends on Wireless Power Transmission
Get PDFIt is really innovative electrical design approach in which electrical power is transmitted from one point to another point through air media. The proto type project model is designed to transmit small amount of power to drive FHP motor and LED's. The main block of projects is oscillator, inductor, sensitivity units and controller based monitoring circuit units. In this system by using colpitts oscillator is high frequency is generated and transmitted. The transmitted power is observed by fall end inducting coil then received power is taken is utilization. The monitoring section is designed using AVR controller
Radial Basis Function Neural Networks : A Review
Get PDFRadial Basis Function neural networks (RBFNNs) represent an attractive alternative to other neural network models. One reason is that they form a unifying link between function approximation, regularization, noisy interpolation, classification and density estimation. It is also the case that training RBF neural networks is faster than training multi-layer perceptron networks. RBFNN learning is usually split into an unsupervised part, where center and widths of the Gaussian basis functions are set, and a linear supervised part for weight computation. This paper reviews various learning methods for determining centers, widths, and synaptic weights of RBFNN. In addition, we will point to some applications of RBFNN in various fields. In the end, we name software that can be used for implementing RBFNNs