Abstract: An axial flux switched reluctance motor and/or generator, and controls are provided. It includes a stator, which includes a front surface and a rear surface, and sidewalls that extend from the front surface to the rear surface. The stator includes salient stator poles positioned on the front surface. Each one of the salient stator poles including: a bobbin protruding out from the front surface in a direction along an axis of the bobbin that is perpendicular to the front surface; the bobbin comprising a bobbin front surface that is substantially parallel to the front surface of the stator; and a coil of electrically insulated wire wound around the bobbin. A rotor includes a front rotor surface and an opposite facing rear rotor surface; and further includes a plurality of rotor poles. The rotor is affixed to a shaft and rotates about an axis of rotation that is aligned with the shaft.

Abstract: A method helps to protect an occupant of a vehicle (10) equipped with an automated driving system (200) and a vehicle safety system (100) by detecting low impact crash events (99) with the vehicle (10). The method includes utilizing automated driving sensors (220, 230, 240, 250, 260) of the automated driving system (200) to identify possible low impact collision risks. The method also includes utilizing vehicle safety system sensors (110, 115, 120, 125, 130) of the vehicle safety system to determine a low impact collision resulting from the identified possible low impact collision. A vehicle safety system (100) includes an airbag controller unit (150) configured to implement the method to determine low impact crash events with the vehicle (10).

Abstract: Systems and methods pattern detection in service tickets are disclosed. According to one embodiment, an analytics computer application may: (1) determine a service ticket threshold for an Information Technology (IT) resource; (2) receive a plurality of service tickets for the IT resource; (3) pre-process text of the plurality of service tickets; (4) identify keyword patterns in the pre-processed text of the plurality of service tickets; (5) group the plurality of service tickets into subsets of service tickets based on the keyword patterns; (6) determine that a number of service tickets in one of the subsets of service tickets exceeds the service ticket threshold; (7) identify an IT component associated with the subset of service tickets; (8) identify users affected by the IT component; and (9) notify the users affected by the IT component of an issue with the IT component.

Abstract: Systems and methods pattern detection in service tickets are disclosed. According to one embodiment, an analytics computer application may: (1) determine a service ticket threshold for an Information Technology (IT) resource; (2) receive a plurality of service tickets for the IT resource; (3) pre-process text of the plurality of service tickets; (4) identify keyword patterns in the pre-processed text of the plurality of service tickets; (5) group the plurality of service tickets into subsets of service tickets based on the keyword patterns; (6) determine that a number of service tickets in one of the subsets of service tickets exceeds the service ticket threshold; (7) identify an IT component associated with the subset of service tickets; (8) identify users affected by the IT component; and (9) notify the users affected by the IT component of an issue with the IT component.