In this paper, we have proposed Generalized Entropy Optimization Problems (GEOP) concerned with parameters which consist of maximizing Entropy Functional subject to constraints dependent on parameters. Therefore, MinMaxEnt and MaxMaxEnt distributions are obtained as solutions of these problems. On bases of MinMaxEnt distribution we have developed a new estimation method of obtaining missing val...

The paper revisits adaptive beamforming assisted receiver for multiple antenna aided multiuser systems that employ binary phase shift keying (BPSK) modulation. The standard minimum mean square error (MMSE) design is based on the criterion of minimising the mean square error (MSE) between the beamformer’s desired output and complex-valued beamformer’s output. Since the desired output for BPSK sy...

High precision measurement of acceleration levels is required to allow active control for vibration isolation platforms. It is necessary to propose an accelerometer configuration measurement model that yields such a high measuring precision. In this paper, an accelerometer configuration to improve measurement accuracy is proposed. The corresponding calculation formulas of the angular accelerati...

This paper aims to demonstrate the utility of fuzzy set theory in the design process of a diabetes management system that enables patients to make short term alterations (particularly lifestyle) to their overall regimen as required. The model is a Mamdani Fuzzy Inference System (FIS) configured through domain specific information from experts and recognised diabetes management algorithms. The F...

In this paper, a wavelet based methodology is presented for compression of electrocardiogram (ECG) signal. The methodology employs new wavelet filters whose coefficients are derived with beta function and its derivatives. A comparative study of performance of different existing wavelet filters and the Beta wavelet filters is made in terms of compression ratio (CR), percent root mean square diff...

Utilizing historical data from the Quandl API, this experiment investigates use of Convolutional Neural Networks (CNNs) in stock price prediction. The information for Microsoft Corporation (MSFT) spans dates January 1, 2013, and May 18, 2018. high, low, open, close prices are scaled, input sequences length 6 created order to capture temporal dependencies. Dense layers, 1D convolutional max pool...

The error in a designed experiment, σ2, is the natural variation in the response when one of the experimental combinations is replicated. One important challenge in a designed experiment is obtaining an unbiased estimate of σ2. Too often, experimenters do not realize the impact that data collection and analysis assumptions have on the estimate of σ2. If the estimate is biased, tests of the effe...

A registration method of remotely sensed image data which is base on the wavelet transform is proposed. The shape information of the regions in the images is analyzed by the Haar and Daubechies’wavelets. Comparing the coefficients of the wavelets and minimizing the mean square error (MSE) which is defined by the coefficients, the regions are matched and the images are registered. Affine transfo...

The paper aims to create a most efficient and accurate cab fare prediction system using machine learning algorithms comparing them. are Random forest algorithm Linear regression the r-square, mean square error (MSE), Root MSE Mean Squared Logarithmic Error (RMSLE) values. We implement linear predict prices of get best accuracy when both algorithms. should be trips before starting trip. sample s...

Medical images like ultrasound images are generally corrupted by speckle noise during their acquisition and transmission. The impact of speckle noise reduces the diagnostic value of the medical image modality. Thus, a speckle noise reduction technique is necessary for the suppression of noise and to retain the fine details from the corrupted image. In this article, a new speckle noise reduction...