Abstract: An intelligent labeling method is disclosed herein. The method can receive a plurality of input instances and access a knowledge graph comprising a plurality of nodes and a plurality of edges connecting the plurality of nodes. The plurality of nodes represent objects and the edges represent relationship between the objects. For at least some selected input instances, the method can identify respective matching objects represented by corresponding nodes of the knowledge graph. A selected input instance shares a common label with the corresponding matching object. For identified matching objects, the method can identify a common class object represented by a corresponding node of the knowledge graph. A percentage of identified matching objects are descendants of the common class object, and the percentage is greater than a predefined threshold. The method can associate a label of the common class object with the plurality of input instances.

Abstract: A computer-implemented method can receive a source table containing data tuples and a source schema defining attributes of the data tuples, and match the source schema to an ontology of a knowledge graph. The knowledge graph can include a plurality of instances and the ontology defines properties of the plurality of instances. The computer-implemented method can link the data tuples to respective instances in the knowledge graph, and identifying non-matching properties of the respective instances, wherein the non-matching properties are defined in the ontology and not matched to the source schema. The computer-implemented method can obtain property values associated with the non-matching properties from the knowledge graph, and add one or more of the non-matching properties and the associated property values to respective data tuples of the source table.

Abstract: A computer-implemented method can receive a source table containing data tuples and a source schema defining attributes of the data tuples, and match the source schema to an ontology of a knowledge graph. The knowledge graph can include a plurality of instances and the ontology defines properties of the plurality of instances. The computer-implemented method can link the data tuples to respective instances in the knowledge graph, and identifying non-matching properties of the respective instances, wherein the non-matching properties are defined in the ontology and not matched to the source schema. The computer-implemented method can obtain property values associated with the non-matching properties from the knowledge graph, and add one or more of the non-matching properties and the associated property values to respective data tuples of the source table.

Abstract: An intelligent labeling method is disclosed herein. The method can receive a plurality of input instances and access a knowledge graph comprising a plurality of nodes and a plurality of edges connecting the plurality of nodes. The plurality of nodes represent objects and the edges represent relationship between the objects. For at least some selected input instances, the method can identify respective matching objects represented by corresponding nodes of the knowledge graph. A selected input instance shares a common label with the corresponding matching object. For identified matching objects, the method can identify a common class object represented by a corresponding node of the knowledge graph. A percentage of identified matching objects are descendants of the common class object, and the percentage is greater than a predefined threshold. The method can associate a label of the common class object with the plurality of input instances.

Abstract: A system for determining the sitting position of a cyclist comprises two pressure sensors connected to bicycle-handlebar elements. The pressure sensors are connected to an evaluation device, such as a bicycle computer, via data-transmission devices. Via real-time transmission, the generated data can be directly consumed and integrated in indoor-training software for a realistic training experience. Via the evaluation device, the data obtained by the pressure sensors is evaluated and the sitting position is determined.

Abstract: A system for vehicle driver support carrying out assist functions in a motor vehicle for supporting the driver in stopping and starting maneuvers, which are activated depending on a first comparison between at least one driving state parameter and a threshold value and/or based on first actuating signals from an actuating unit operable by the driver. A control unit determines a vehicle state by way of another comparison of at least one driving state variable with a predetermined threshold value and/or based on additional actuating signals of the actuating unit, in that the control unit checks whether at least one assist function is activated, and in that the control unit controls the brake system of the vehicle depending on the detected vehicle state when at least one assist function is activated.

Abstract: The invention relates to a system for vehicle driver support, carrying out assist functions to support the driver for stopping and starting procedures, activated depending on a first comparison between at least one vehicle state parameter and a threshold value and/or based on first operating signals from an operating means operated by the driver. The system is characterised in that a control unit (SSM) determines at least one vehicle state by means of a further comparison of a vehicle state parameter with a given threshold value and/or by means of a further operating signals from the operating means, the control unit checks whether an assist function is activated and the control unit operates the brake system of the vehicle, depending on the determined vehicle state when at least one assist function is activated.

Abstract: The invention relates to a method for operating a hydraulic braking system for motor vehicles, comprising a service brake system and a parking brake device, with the service :Drake system including a pedal-operable hydraulic pressure generator, to which two brake circuits with at least one externally controllable hydraulic pressure source are connected, and a hydraulically operable front-axle wheel brake provided with inlet and outlet valves and a hydraulically operable rear-axle wheel brake provided with inlet and outlet valves are associated with each one brake circuit, and with the parking brake device including means for arresting the brake pistons of the rear-axle wheel brakes, the brake pistons being acted upon by hydraulic pressure supplied by the pressure source for the purpose of activation or deactivation of the parking brake device.

Abstract: A single-track vehicle comprising a brake control unit, wherein the brake control unit includes a means for actively assisting the driver by means of an active variation or limitation of a vehicle speed or of a quantity derived therefrom, in particular vehicle acceleration.

Abstract: In a method and a device for assisting a vehicle to start on a slope, a vehicle brake torque is changed corresponding to an estimated vehicle driving torque in consideration of a downgrade torque. The method is executed with the following steps of determining a vehicle driving torque reference value, comparing the reference value with the estimated vehicle driving torque, and influencing the brake torque in accordance with the comparison result (FIG. 1).

Abstract: The present invention relates to a method and a device for assisting a vehicle to start on a slope, wherein a vehicle brake torque is changed corresponding to an estimated vehicle driving torque in consideration of a downgrade torque.