Abstract: A method of trading electrical energy is provided. The method comprises a smart agent receiving state data affecting electricity usage within an electrical power grid over a specified time period and forecasting, with a supply/demand model, supply and demand for electricity within the power grid according to the state data. The smart agent uses a reinforced learning neural network to calculate a price for electricity according the state data and forecasted supply and demand. The smart agent submits an order to a matching engine to buy or sell electricity on the power grid at the calculated price according to specified market rules. The smart engine receives an acknowledgment from the matching engine if the order is matched to another agent on the power grid or a rejection from the matching engine if the order is not matched to another agent.

Abstract: A method for processing packets in a network device, comprising: determining that a packet received by the network device is to be processed using a next hop group, selecting a member of the next hop group, and transmitting the packet to a second network device associated with a second member of the next hop group.

Abstract: A method for processing packets in a network device, comprising: determining that a packet received by the network device is to be processed using a next hop group, selecting a member of the next hop group, and transmitting the packet to a second network device associated with a second member of the next hop group.

Abstract: An operational analytics system includes a plurality of access point devices and an electronic controller. The plurality of access point devices are configured to receive a wireless signal for at least one wireless device. The electronic controller is configured to receive a signal strength indicator for the at least one wireless device from the plurality of access point devices, calculate a position of the at least one wireless device based on the signal strength indicator for the at least one wireless device, and configured to determine a time the wireless device remains at the position, and when the time exceeds a threshold time, perform a mitigation operation.

Abstract: In general, in one aspect, embodiments relate to a network device for forwarding packets as part of a network comprising an adjacent device connected to the network device via a link. The network device includes a switching system for directing the packets between ports of the network device, wherein a port of the ports is operably connected to the adjacent device via the link, and a switching system manager programmed to: identify a failure of the link, in response to identifying the failure of the link, perform a multi-tiered next hop failover of the switching system based on the failure of the link to obtain an updated switching system that does not forward the packets using the failed link, and forward a portion of the packets using the updated switching system.

Abstract: The present invention provides a kind of sports equipment, particularly sports equipment for water sport or snow sport, comprising a main body made of light rigid material and having at least one built-in framework that is harder than the main body. The sports equipment further comprises a deck fixed on the top surface of the main body and configured to be harder than the main body. Compared with prior sport equipment, the equipment of the invention has the advantages such as light weight, durability, collision resistance and easy handling.

Abstract: The present invention provides a kind of sports equipment, particularly sports equipment for water sport or snow sport, comprising a main body made of light rigid material and having at least one built-in framework that is harder than the main body. The sports equipment further comprises a deck fixed on the top surface of the main body and configured to be harder than the main body. Compared with prior sport equipment, the equipment of the invention has the advantages such as light weight, durability, collision resistance and easy handling.

Abstract: An embodiment method for massively parallel processing includes initiating a management instance on an initial machine, the management instance generating an initial partition corresponding to the initial machine, determining a total number of partitions desired for processing a database, the total number of partitions including the initial partition, determining a number of additional machines available to process the database, grouping the initial machine and the additional machines together in a pod, and launching the management instance on the additional machines in the pod to generate the total number of partitions desired for the database. Additional embodiment methods and an embodiment system operable to perform such methods are also disclosed.