Entropy methods (approximate and sample entropy) have been studied to measure the complexity or predictability of finite length time series. The identification of parameters of this entropy family is indispensable task to enable the measure of predictability of time-series data. So far, there have been no general rules to select these parameters; they rather depend on particular problems. In th...

the charge-transfer complexation reaction between iodine and dibenzo- 18-crown- 6 (db18c6) has been studied spectrophotometrically in chloroform solution at different temperatures. the resulting donor-acceptor complex was formulated as (db 18c6…i )i . the spectrophotometric results , as well as the conductivity measurements, indicated that the gradual release of tiiodide ion from its contact io...

introduction the automotive industry is one of the largest industries in the world, which is also very important in our country.according to the world bank, the automotive industry can be classified as the projects that have environmental impacts. therefore, the review and analysis of the environmental impacts is conducted to identify the significant effects of pollution caused by the activitie...

In many life-testing and reliability studies, the experimenter might not always obtain complete information on failure times for all experimental units. One of the most common censoring schemes is progressive type-II censoring. The aim of this paper is characterizing the parent distributions based on Shannon entropy of progressive type-II censored order statistics. It is shown that the equality...

A classical bound in information theory asserts that small L1-distance between probability distributions implies small difference in Shannon entropy, but the converse need not be true. We show that if a probability distribution on {0, 1} has small-bias, then the converse holds for its weight distribution in the proximity of the binomial distribution. Namely, we argue that if a probability distr...

In this paper, we introduce new tests for exponentiality based on estimators of Renyi entropy of a continuous random variable. We first consider two transformations of the observations which turn the test of exponentiality into one of uniformity and use a corresponding test based on Renyi entropy. Critical values of the test statistics are computed by Monte Carlo simulations. Then, we compare p...

evaluation criteria for different versions of the same database the concept of information, during its development, is connected to the concept of entropy created by the 19th century termodynamics scholars. information means, in this view point, order or negentropy. on the other hand, entropy is connected to the concepts as chaos and noise, which cause, in turn, disorder. in the present paper, ...

This paper presents a novel approach to automatic classifying and identifying of tree leaves using image segmentation fusion. With the development of mobile devices and remote access, automatic plant identification in images taken in natural scenes has received much attention. Image segmentation plays a key role in most plant identification methods, especially in complex background images. Wher...

Digital image processing is an emerging tool to predict fruit quality; therefore present study was carried out to develop an image processing technique for investigating the storage life of cantaloupe. Potassium permanganate (KMnO4) impregnated materials were used to prolong the postharvest life of cantaloupe fruit and the effects of these treatments were evaluated by 3 image textural features ...