Previous studies showed that the meme popularity distribution is described by a heavy-tailed distribution or a power-law, which is a characteristic feature of the criticality. Here, we study the origin of the criticality on non-growing and growing networks based on the competition induced criticality model. From the direct Mote Carlo simulations and the exact mapping into the position dependent...

The discovery of avalanches in neural systems [1] has aroused substantial interest among neurophysiologists and, more generally, among researchers in complex networks [2] as well. The main purpose of this chapter is to provide evidence in support of the hypothesis that the phenomenon of neural avalanches [1] is generated by the same cooperative properties as those responsible for a surprising e...

Mixed-criticality (MC) systems [1] allow tasks of different importance (or criticality) to be consolidated into a single system. Consolidation facilitates resource sharing (even across criticality levels) and hence bears the potential to reduce the overall amount of resources needed. However, there is a common misconception that recurs in literature about Vestal’s model: the false believe that ...

A mid-range connict alerting system is proposed, based on a measure of criticality which directly takes into account the uncertainty in the prediction of the aircraft positions. The use of randomized algorithms makes the computation of the criticality measure tractable. The performance of the algorithm is evaluated by Monte Carlo simulation on a stochastic ODE model of the aircraft motion.

A temperature-like parameter is introduced in ordinary sandpiles models. A temperature dependent probability distribution is assigned for the sand toppling on sites of any height. In mean eld theory criticality is obtained for all the values of temperature and no characteristic avalanche size appears. Numerical simulations supports the existence of criticality at any temperature with apparently...

As an advanced process detection technology, electrical impedance tomography (EIT) has widely been paid attention to and studied in the industrial fields. But the EIT techniques are greatly limited to the low spatial resolutions. This problem may result from the incorrect preprocessing of measuring data and lack of general criterion to evaluate different preprocessing processes. In this paper, ...