Reliability has become an issue to the Tianhe supercomputer series with the scaling of the system. Proactive fault-tolerance based on failure prediction turns into an effective way to improve the system’s fault tolerance ability. Data collection is the basis of the failure prediction which has a great impact on the prediction accuracy, while current data collection methods for failure predictio...

background: chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. therefore, the aim of this study was to estimate the prevalence and trends of ckd according to a new estimation method.   methods: using multiplier method, we estimated t...

background: chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. therefore, the aim of this study was to estimate the prevalence and trends of ckd according to a new estimation method.   methods: using multiplier method, we estimated t...

Water pipe failures can not only have a great impact on people’s daily life but also cause significant waste of water which is an essential and precious resource to human beings. As a result, preventative maintenance for water pipes, particularly in urbanscale networks, is of great importance for a sustainable society. To achieve effective replacement and rehabilitation, failure prediction aims...

‎Lindley distribution has received considerable attention in the statistical literature due to its simplicity‎. ‎In this paper‎, ‎we consider the problem of predicting the failure times of experimental units that are censored in a right-censored sample‎‎ when the underlying lifetime is Lindley distributed‎. ‎The maximum likelihood predictor‎, ‎the Bes...

Some problems of point and interval prediction in a trend-renewal process (TRP) are considered. TRP’s, whose realizations depend on a renewal distribution as well as on a trend function, comprise the non-homogeneous Poisson and renewal processes and serve as useful reliability models for repairable systems. For these processes, some possible ideas and methods for constructing the predicted next...

Fractals are mathematical or natural objects that are made of parts similar to the whole in certain ways. In this paper a software reliability forecasting method of software failure is proposed based on predictability of fractal time series. The empirical failure data (three data sets of Musa’s) are used to demonstrate the performance of the reliability prediction. Compared with other methods, ...

failure to thrive (ftt) is a perplexing disorder commonly seen by primary care physicians. identification of ftt and an assessment of severity of the undernutrition are important to identify children at risk, and to provide appropriate intervention for preventing malnutrition and developing sequela. one of different anthropometric methods for categorizing undernutrition in childhood is waterlow...

Contact maps have been used in ab initio methods for the problem of protein structure prediction problem. Secondary structures and contacts made by the residues are clearly visible in the contact maps where helices are seen as thick bands and the beta sheets are seen as orthogonal to the diagonal. This paper explores the idea of extracting rules from contact maps to represent “protein fold” inf...