Abstract: Systems and methods for using a non-stick conductive material to automate tool touch-off in an additive manufacturing process are provided. A substrate comprises a first conductive layer, an intermediate binder layer, and a second non-stick conductive layer. The non-stick conductive layer may comprise perfluoroalkoxy alkanes and carbon nanotubes. An electrical connection may be made between the first conductive layer and the second non-stick conductive layer. When used with an additive manufacturing device, when the nozzle of the device contacts the substrate, a circuit may close resulting in a detectable voltage drop. When the voltage drop is detected, a reference point for the additive manufacturing device may be set.

Abstract: Identification of augmented features based on a Bayesian analysis of a text document is disclosed. One example is a system including a document processing module, a feature processing module, and a feature generation module. The document processing module receives a text document via a processor. The feature processing module automatically identifies, based on a Bayesian analysis of the text document, a plurality of augmented features in the text document, the plurality of augmented features including at least one of local, sectional, and document-level features of the text document, and extracts, via the processor, the identified plurality of augmented features from the text document. The feature generation module generates, via the processor, a feature representation of the text document based on the extracted plurality of augmented features.

Abstract: A vehicle data processing system includes a group of sensors and a controller. The group of sensors is arranged on board a vehicle and operable to detect and capture driving event. The controller is coupled to the group of sensors and operable to receive one or more data streams indicative of the driving event data from the group of sensors. The controller is further operable to (i) analyze the one or more data streams, (ii) determine a current operation status of a vehicle based on the one or more data streams, (iii) determine whether or not the current operation status of the vehicle triggers prioritized processing of the one or more data streams, and (iv) upon determination that the prioritized processing is triggered, apply the prioritized processing.

Abstract: A method may include selecting a particular entity from a knowledge graph when a level of connectivity between entities in the knowledge graph that are neighbors to the particular entity is above a certain level and determining whether the particular entity is in a character string.

Abstract: A vehicle data processing system includes a group of sensors and a controller. The group of sensors is arranged on board a vehicle and operable to detect and capture driving event. The controller is coupled to the group of sensors and operable to receive one or more data streams indicative of the driving event data from the group of sensors. The controller is further operable to (i) analyze the one or more data streams, (ii) determine a current operation status of a vehicle based on the one or more data streams, (iii) determine whether or not the current operation status of the vehicle triggers prioritized processing of the one or more data streams, and (iv) upon determination that the prioritized processing is triggered, apply the prioritized processing.

Abstract: Identification of augmented features based on a Bayesian analysis of a text document is disclosed. One example is a system including a document processing module, a feature processing module, and a feature generation module. The document processing module receives a text document via a processor. The feature processing module automatically identifies, based on a Bayesian analysis of the text document, a plurality of augmented features in the text document, the plurality of augmented features including at least one of local, sectional, and document-level features of the text document, and extracts, via the processor, the identified plurality of augmented features from the text document. The feature generation module generates, via the processor, a feature representation of the text document based on the extracted plurality of augmented features.

Abstract: A method may include selecting a particular entity from a knowledge graph when a level of connectivity between entities in the knowledge graph that are neighbors to the particular entity is above a certain level and determining whether the particular entity is in a character string.

Abstract: A bus bar assembly having a high-speed switching device, a bus bar, and a heat sink. The switching device is integrated into a cavity on the top surface of the bus bar, and the heat sink is mechanically coupled to the bottom surface of the bus bar. The bus bar may include capacitors that are positioned upside down on the top surface of the bus bar to more effectively communicate heat from the capacitor to the bus bar and then the heat sink. The heat sink may be formed from a pair of parallel plates that oppose each another to form a cooling channel, wherein a coolant, such as gas or water, may be passed through. An interior surface of one of the plates may incorporate a cooling structure such as grooves or fins.

Abstract: A flexible current carrying cable is provided comprising a cable and an end portion of the cable being solidified wherein the end portion is compressed into a unitary member having reduced voids and enabling brazing of the end portion to a current carrying apparatus.A method of forming a current carrying cable comprises the steps of inserting an end of a cable into a spot welding machine, solidifying the end of the cable within the spot welding machine at 1100.degree. F.-2000.degree. F. at 10-100 psi. An alternative embodiment of the present invention includes an oxidation bump.