Ricerc@Sapienza

An optimized system management of a commercial and industrial power system must take care of the actual operational and energetic duty of the power system distribution. A procedure based on the Arrhenius model of the Thermal Aging of Insulating Materials allows introducing the relative time coefficient (RTC) and promoting a heuristic method, as a rule of thumb, to estimate the life loss and the residual useful life for insulated power cables.

The static power consumption in modern integrated circuits has become a critical standpoint in side-channel analysis. As it has been widely demonstrated in the technical literature, it is possible to extract secret information from a cryptographic circuit by means of static current measurements. Static and dynamic power analysis require different measurement procedures, due to physical reasons.

We consider the problem of controlling the rate of failures triggered by fatigue processes of Base Stations (BSs) in cellular networks subject to Sleep Modes (SMs). Specifically, the increase of time spent in SM tends to decrease the BS failure rate by following, e.g., the Arrhenius law. However, the transitions between the power states tend to increase the BS failure rate, which can be predicted by the Coffin- Manson model. In this context, the energy savings triggered by SMs would not be economically useful if the BS failure rate were increased too much.