Abstract: Disclosed embodiments provide a handover prediction scheme that is based on contextual awareness of a compute node, such as a mobile device. The contextual information is used to predict network availability in a predicted target location, which is an area that a compute node is likely to travel. The use of sensors embedded in or accessible by the compute node may be used to carry out aspects of the embodiments. A reinforcement learning recommendation model is used to determine an optimal network, radio access technology, and/or network access node to connect with ahead of arriving at the predicted target location at a predicted arrival time. Other embodiments are described and/or claimed.

Abstract: A burner gas supply apparatus for increasing flame turbulence, the apparatus comprising a conduit having a characteristic width, W, defined by an inner surface having a circumferential direction and an axial direction, the axial direction terminating in a nozzle defining a nozzle exit plane and having a characteristic dimension, d, where d<=W; and three bluff bodies each with a characteristic dimension, Dbb-i, projecting a length, Li into the conduit from the inner surface, and an axial spacing Xi between adjacent bluff bodies (between the downstream bluff body and the nozzle exit plane in the case of X1) wherein 0.5<=Li/W<=1 and wherein Xi/Dbb-i<=30.

Abstract: A burner gas supply apparatus for increasing flame turbulence, the apparatus comprising a conduit having a characteristic width, W, defined by an inner surface having a circumferential direction and an axial direction, the axial direction terminating in a nozzle defining a nozzle exit plane and having a characteristic dimension, d, where d<=W; and three bluff bodies each with a characteristic dimension, Dbb-i, projecting a length, Li into the conduit from the inner surface, and an axial spacing Xi between adjacent bluff bodies (between the downstream bluff body and the nozzle exit plane in the case of X1) wherein 0.5<=Li/W<=1 and wherein Xi/Dbb-i<=30.