dynamic frothability index (dfi) is a characteristic of any frother which presents useful information about frothing properties. the objective of this study is to introduce a prediction model for estimation of dfi value of dual-frother blends. model uses the dfis of frothers and mole ratio of weaker frother to calculate the blend’s dfi. the model reliability was confirmed by comparing the exper...

There are many probabilistic and statistical approaches to modelling software reliability. Software reliability estimates are used for various purposes: during development, to make the release decision; and after the software has been taken into use, as part of system reliability estimation, as a basis of maintenance recommendations, and further improvement, or a basis of the recommendation to ...

Today’s software systems are developed and targeted for satisfying sometimes very critical functions. Reliability is considered to be one of the most important nonfunctional quality attribute of such software systems. The aim of reliability estimation in early stages of software development process – analysis and design – should reduce the future costs for possible failure repairing through inc...

In the past decades, machine learning (ML) tools have been successfully used in several medical diagnostic problems. While they often significantly outperform expert physicians (in terms of diagnostic accuracy, sensitivity, and specificity), they are mostly not being used in practice. One reason for this is that it is difficult to obtain an unbiased estimation of diagnose's reliability. We disc...

We report an experiment to evaluate a method, known as Component Based Reliability Estimation (CBRE), for the estimation of reliability of a software system using reliabili-ties of its components. CBRE involves computing path reliability estimates based on the sequence of components executed for each test input. Path reliability estimates are averaged over all test runs to obtain an estimate of...

the weibull distribution has been widely used in survival and engineering reliability analysis. in life testing experiments is fairly common practice to terminate the experiment before all the items have failed, that means the data are censored. thus, the main objective of this paper is to estimate the reliability function of the weibull distribution with uncensored and censored data by using b...

In this paper, we critically analyze the success of the traditional reliability models built to measure and estimate software reliability. We further propose that a Finite State Automata (FSA) based reliability model can serve as a befitting solution to all existing software reliability challenges. The proposed model estimates actual system reliability at runtime. The main advantage of this mod...

In this paper, we present and discuss a new interval-based method of reliability estimation using fault trees for the case of uncertain and time-varying input reliability data. The approach is based on the generation of output distributions (probability estimates with appropriate ranges of uncertainty) which preserve the effects of uncertainty in the input (component or subsystem-level) data. T...

Many of the most promising applications for mobile robots require very high reliability. The current generation of mobile robots is, for the most part, highly unreliable. The few mobile robots that currently demonstrate high reliability achieve this reliability at a high financial cost. In order for mobile robots to be more widely used, it will be necessary to find ways to provide high mission ...

The method of Instrumental Variables is suggested as an alternative to traditional methods for estimating the reliability of mental test scores which avoids certain drawbacks of these methods. The consistency and efficiency of the instrumental variable method are examined empirically using data from the British National Child Development Study in an analysis of 16 year, 11 year and 7 year old s...