Abstract: A method for automatically providing a time signal to containers in an operating system level virtualization or to virtual machines, the method including: —creating a pool of clocks; executing one or more containers in an operating system level virtualization or one or more virtual machines running on an executing hardware device; allocating one or more clocks of the pool of clocks to client containers in the one or more containers or to client virtual machines of the one or more virtual machines, thereby obtaining allocated clocks allocated to the client containers or the client virtual machines; wherein each of the allocated clocks provides a time signal in a time domain to at least one of the client containers or to at least one of the client virtual machines.

Abstract: A method and system are provided for programming robots by operators without expertise in specialized robot programming languages. In the method, inputs are received from the operator generically describing a desired robot movement. The system then uses the operator inputs to translate the desired robot movement into software commands that direct the robot to perform the desired robot movement. The robot may then be programmed with the software commands and operated to perform the desired robot movement.

Abstract: To generate a decision logic for a controller of an Industrial Automation Control System, IACS, an iterative process is performed in which a decision logic candidate for the decision logic is generated, and a performance of the decision logic candidate in response to scenarios is computed.

Abstract: A technique for a control method and a control system in a substation is provided. The control system includes a substation feeder, an intelligent electronic device, IED, a merging unit, and BUS network connecting the IED and the merging unit. The control method includes providing measurement signals by the substation feeder to the merging unit, transmitting, by the merging unit, measurement data based on the measurement signals of the substation feeder to the IED via the BUS network, identifying, by the IED, a fault condition based on the measurement data, transmitting, by the IED, a conditional control command to the merging unit via the BUS network, determining, by the merging unit, whether the condition of the conditional control command is met, and if so initiating, by the merging unit, the control measure of the substation feeder circuit.

Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further includes a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture.

Abstract: A method and system are provided for training a robot to recognize objects in the workspace of the robot. Objects in the workspace are identified by the user, and the robot determines candidate objects. Feedback may be used in order for the user to confirm whether the candidate object determined by the robot system matches the object intended by the user. Gripping information for the object may also be identified by the user to train the robot how to grip the object.

Abstract: A system includes a wet extrusion process machine configured to receive, mix, and convey a plurality of ingredients to an extrusion die, the plurality of ingredients include a protein powder, an oil, and water. The system includes an electronic process control system (EPCS) configured to control the wet extrusion machine using a plurality of process settings effective to produce an extrusion die mixture which is forced into, passes through, and is output from the extrusion die. The system further includes a supervisory machine intelligence control system (SMICS) operatively coupled with at least one of a direct fibrosity measurement (DFM) subsystem configured to directly measure one or more physical fibrosity parameters of the extrusion die mixture, and an indirect fibrosity measurement (IFM) subsystem configured to measure one or more extrusion process parameters associated with the extrusion die mixture.

Abstract: In order to compress sensor data for transmission, one or several operational parameters of a machine (20) having a rotating component are received. A compression technique is applied to a spectral representation of the sensor data to generate a compressed sensor data representation. The applied compression technique is dependent on the one or several operational parameters of the machine (20).

Abstract: To facilitate storage of data from plural data sources of an industrial automation control system, power distribution system or power generation system, a decision making device executes a machine learning algorithm to determine a compression technique in dependence on the data source from which data originates.