Abstract: A method for improving risk situations for vehicle occupants in a vehicle which includes: configuring a set of circumstances; defining a set of values for each circumstance where each value has a rate; collecting context information for the circumstances, values and rates; collecting real-time sensor measurements pertaining to a vehicle, a driver and vehicle occupants; retrieving risk patterns from a risk pattern database; matching the sensor measurements to the risk patterns to find a matching risk pattern having a risk similarity value; contextualizing the matching risk pattern by increasing the risk similarity value to result in a personalized risk value; comparing the personalized risk value to a threshold; and executing a context modifying action to lower the personalized risk value below a predefined threshold when the personalized risk value exceeds the predefined threshold.

Abstract: A method for improving risk situations for vehicle occupants in a vehicle which includes: configuring a set of circumstances; defining a set of values for each circumstance where each value has a rate; collecting context information for the circumstances, values and rates; collecting real-time sensor measurements pertaining to a vehicle, a driver and vehicle occupants; retrieving risk patterns from a risk pattern database; matching the sensor measurements to the risk patterns to find a matching risk pattern having a risk similarity value; contextualizing the matching risk pattern by increasing the risk similarity value to result in a personalized risk value; comparing the personalized risk value to a threshold; and executing a context modifying action to lower the personalized risk value below a predefined threshold when the personalized risk value exceeds the predefined threshold.

Abstract: A method for improving a global lifespan of a storage system of a computing system is provided. The method includes: providing a prediction engine associated with the storage system including at least one storage device, the prediction engine being initiated at an installation time of the at least one storage device; automatically determining lifespan values of the at least one storage device to assign the global lifespan of the storage system, the global lifespan being dependent on the installation time of the at least one storage device; replacing, responsive to a time-based failure event, a storage device of the at least one storage device; and subsequently monitoring, using the prediction engine, the global lifespan of the storage system based on the time-based failure event to define, at least in part, an optimized lifespan of the storage system.