Abstract: Techniques for a sophisticated closed-loop control system designed for the automatic regulation of SOx emissions in a Circulating Fluidized Bed Combustion (CFBC) boiler by leveraging the power of Adaptive Artificial Intelligence/Machine Learning (AI/ML) based control system, this innovative system ensures both real-time model training and implementation for dynamic and efficient SOx emission control. The present disclosure describes processing a current SOx emission, a current lime consumption value and a predefined SOx setpoint value to determine an optimal setpoint of lime consumption required to keep the SOx emission within a desired limit in real-time. Said processing includes determination of lime-SOx peak-trough curve, a response time of the boiler and the change in SOx to the change in lime. The lime consumption setpoint so determined is directly transmitted to a distributed control system to control the injection of lime in the CFBC boiler for automatic regulation of SOx emission control.

Abstract: Embodiments of a method and device are disclosed. In an embodiment, an in-vehicle network interface device includes a data port to send and receive data packets, a plurality of packet processing pipelines coupled to the data port, each to inspect a single data packet to determine an action to perform on the single data packet, and a safety module to receive the determined action from each packet processing pipeline and to select one of the determined actions to perform on the single data packet and to cause a selected one of the packet processing pipelines to perform the selected action.

Abstract: A network device for processing a plurality of redundant data streams, the network device configured to: receive a frame from one of the plurality of redundant data streams; compare a sequence number of the frame to a stored sequence number; and if the sequence number of the frame is greater than the stored sequence number: forward the frame to an output terminal of the network device; and update the stored sequence number based on the sequence number of the frame.

Abstract: Aspects are directed toward a data-communication approach using an arrangement of node-node communication according to a protocol involving layered routing of payload as might be similar to layered-based communication-protocol standards used in automotive applications. A particular payload is conveyed between nodes via a protocol having a data link layer and a network layer, the latter being used to indicate to which node(s) the payload is to be routed. For compatibility with standard(s), the protocol accommodates transfer of data between nodes by permitting for use of both the data link and network layers. In some implementations, to increase efficiency and processing overhead for payload transmissions, the protocol does not require use of the network layer to indicate where to transfer the payload.

Abstract: Aspects are directed toward a data-communication approach using an arrangement of node-node communication according to a protocol involving layered routing of payload as might be similar to layered-based communication-protocol standards used in automotive applications. A particular payload is conveyed between nodes via a protocol having a data link layer and a network layer, the latter being used to indicate to which node(s) the payload is to be routed. For compatibility with standard(s), the protocol accommodates transfer of data between nodes by permitting for use of both the data link and network layers. In some implementations, to increase efficiency and processing overhead for payload transmissions, the protocol does not require use of the network layer to indicate where to transfer the payload.

Abstract: The present invention provides a system for improving Optical Signal to Noise Ratio “OSNR” (208) of a transmission system using non gain-flattened optical amplifiers (101) and also provide an optically amplified Dense Wavelength Division Multiplexed “DWDM” transmission system that incorporates aforesaid system and has improved channel OSNR (208).