Nowadays, the technology intends to use materials such as magnesium alloys due to their high strength to weight ratio in engine components. As usual, engine cylinder heads and blocks has made of various types of cast irons and aluminum alloys. However, magnesium alloys has physical and mechanical properties near to aluminum alloys and reduce the weight up to 40 percents. In this article, a new ...

Background: Breast cancer is one of the most important malignancies in both developed and developing countries. Objectives: To reduce the burden of this disease, the prediction of individuals at risk and implementation of efficient preventive interventions can be effective. The present study was aimed at investigating five-year and lifetime risks of the breast cancer in a rural community in Za...

Predicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads to complex logical correlations and the lack of a uniform lifetime measure. Based on a Bayesian ...

The present paper describes a benchmarking programme to compare different lifetime prediction methodologies. Lifetime prediction is still a complex task and the results depend on many factors. Thus, it is very important to know which factors have a decisive effect on the results. The main objective of this investigation is not to proof the validity of a certain prediction model, but to quantify...

Lifetime prediction of plastics is a very difficult proposition, but one that is becoming increasingly important as plastics are used in more demanding and critical applications. The lifetime of a plastic part is influenced greatly by many factors including the type of plastic, stress level, temperature, type of loading, and environmental conditions. All these factors make absolute lifetime pre...

Accurate object lifetime prediction can be exploited by allocators to improve the performance of generational garbage collection by placing immortal or long-lived objects directly into immortal or old generations. Object-oriented software metrics are emerging as viable indicators for object lifetime prediction. This paper studies the correlation of various metrics with object lifetimes. However...

We propose LPDD (Lifetime Prediction Directed Diffusion), a novel energy-aware routing protocol for sensor networks that aims at increasing network survivability without a significant increase in latency. The key concept behind the protocol is the adaptive selection of routes by predicting the battery lifetime of the minimum energy nodes along the routes. key words: sensor networks, energy-awar...

The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This paper discusses a number of possible data mining methods that can be applied to do the lifetime prediction of metallic components and how different sources of service life information could be integrated to form the basis...