high‑intensity focused ultrasound (hifu) is a novel treatment modality used by scientists and clinicians in the recent decades. this modality has had a great and significant success as a noninvasive surgery technique applicable in tissue ablation therapy and cancer treatment. in this study, radio frequency (rf) ultrasound signals were acquired and registered in three stages of before, during, a...

We derive Bose-Einstein statistics and Fermi-Dirac statistics by Principle of Maximum Entropy applied to two families of entropy functions different from the Boltzmann-Gibbs-Shannon entropy. These entropy functions are identified with special cases of modified Naudts’ φ-entropy. In a pioneering work sixty years ago, Jaynes [4] initiated the study of statistical physics by information theory. He...

entropy as a measure of uncertainty was used to represent the results of the wavelet technique in electrochemical noise analysis. the experimental signals were obtained by recording the electrochemical potential and current noise of 7075 aluminum alloy in 3.5% nacl solution. the electrochemical potential and current noise were decomposed into 16 levels using daubechies wavelets. wavelet output ...

Entropy is the measure of uncertainty in any data and is adopted for maximisation of mutual information in many remote sensing operations. The availability of wide entropy variations motivated us for an investigation over the suitability preference of these versions to specific operations. Methodologies were implemented in Matlab and were enhanced with entropy variations. Evaluation of various ...

In this Brief Report we discuss the effectiveness of the Kozachenko-Leonenko entropy estimator when generalized to cope with entropic forms customarily applied to study systems evincing asymptotic scale invariance and dependence (either of linear or nonlinear kind). We show that when the variables are independently and identically distributed the estimator is only valuable along the whole domai...

Tsallis entropy is a flexible extension of Shanon (logarithm) entropy. Since measures indeterminacy an uncertain random variable, this paper proposes the concept partial for variables as devise in chance theory. An approach calculating variables, based on Monte Carlo simulation, provided. As application finance, invoked to optimize portfolio selection returns via crow search algorithm.

In this paper we maximize the utility of a structural model of the demand for multi-destination non-work travel using maximum entropy method introduced by Shanon. A utility value is assigned when only partial information is available about the decision maker’s preferences. The maximum entropy utility solution embeds a large family of utility functions that includes the most commonly used functi...

Entropy as a measure of uncertainty was used to represent the results of the wavelet technique in electrochemical noise analysis. The experimental signals were obtained by recording the electrochemical potential and current noise of 7075 aluminum alloy in 3.5% NaCl solution. The electrochemical potential and current noise were decomposed into 16 levels using Daubechies wavelets. Wavelet output ...

In this manuscript we discuss the effectiveness of the Kozachenko-Leonenko entropy estimator when generalised to cope with entropic forms customarily applied to study systems evincing asymptotic scale invariance and dependence (either linear or non-linear type). We show that when the variables are independently and identically distributed the estimator is only valuable along the whole domain if...

this study assumes areas between the central zagros region and central plateau of to play an important role in the shaping social and economic complexity and the formation of urban infrastructure during the late chalcolithic period of the region. regarding the issue an archaeological survey conducted in the area, 39 sites were identified and were archaeologically analyzed. for spatial data anal...