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The following topics are dealt with: exponential change-points model; Fourier transform; forecasting sunspot numbers; distributed temperature measurements; software development; adaptive observer based tracking control; FPGA bases analysis; maximum power point tracking based optimal control; visual indicator component software; dye-sensitized solar cell; feedback delay effect; thresholding algorithm;...
The dynamic programming (DP) algorithm can be used to find an exact solution of the maximum likelihood estimation of change points in a sequence of data from exponential family. Since the algorithm has a quadratic complexity in data size n, it is computationally burdensome if the data size n is large. In this work, a fast two-stage (TS) algorithm by window method is proposed. The window method is...
In this paper we are highlighting the signals that are not Fourier transformable and give its Fourier transform using PCA (Principle Component Analysis), lDA (linear Discriminant Analysis). Such signals are step signal, signum, etc. Basically Fourier transform transforms time domain signal into frequency domain and after transformation describes what frequencies original signal have. Principle Component...
This paper presents the investigations of forecasting performance of different type of Recurrent Neural Networks (RNN) in forecasting the sunspot numbers. Recurrent Neural Network will be used in this investigation by using different learning algorithms, sunspot data models and RNN transfer functions. Simulations are done using Matlab 7 where customized Graphic User Interface (GUI) called `Sunspot...
Temperature measurements are one of the most significant factors in condition monitoring and protecting transformers as well as estimating their life expectancy. With switchable transformers, it is also significant to carry out temperature monitoring to protect the switching devices. This paper presents techniques to manage temperature measurements of the windings and core of a 3-phase 10kVA switchable...
The absence of standard in black tea assessment was one main obstacle in its quality assurance. This research were contains process of black tea assessment software development, software problem solving concept, and the software evaluation made. This paper was a proof of simple concept that an expert system should automatically find and chose relevant parameters from relationship between raw image...
This paper proposes an observer based adaptive tracking control strategy for a class of uncertain nonlinear systems with delay in state as well as in input. Self recurrent wavelet neural network (SRWNN) is used to approximate the uncertainties present in the system as well as to identify and compensate the dynamic nonlinearities. The architecture of the SRWNN is a modified model of the wavelet neural...
The importance of processing of digital signals has dramatically increased due to widespread use of digital systems. A new FPGA based technique for processing of two digital signals to generate a new signal as a product of two signals is presented. The technique is based upon the use of orthogonal functions to describe digital signals.
This article reports the usage of laser speckle to identify papers by making use of unique microstructure of each part of the papers. The experiments were carried out by shooting a beam of laser onto the surface of the papers. The microscopic patterns of speckles were captured using CCD Camera and the images were digitally processed to perform paper authentication.
Problem of control associated wind energy conversion systems using horizontal-axis fixed-pitch variable-speed low-power, working in the partial load region, consisting in the energy conversion maximization, is approached here under the assumption that the wind turbine model and its parameters are poorly known. Maximum Power Point Tracking (MPPT) by using an approach derived from the optimum seeking...
In this study, we present a new idea dealing with the analysis of fuzzy random variables (FRVs) being treated as samples of data. The proposed concept can be used to model various real-life situations where uncertainty is not only present in the form of randomness but also comes in the form of imprecision described in terms of fuzzy sets. We propose a hybrid approach, which combines a convex hull...
Good design is one of the prerequisites of high quality product. To measure the quality of software design, software metrics are used. Unfortunately in software development practice, there are a lot of software developers who are not concerned with the component's quality and characteristic. Software metrics does not interest them, because to understand the measurement of the metrics, a deep understanding...
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