Abstract: A busbar unit electrically connected to a motor comprising a stator around which a coil is wound includes: a first terminal including a first body and a first terminal part protruding from an upper portion of the first body and electrically connected to the coil; a first holder configured to support the first terminal such that the first terminal part is exposed to an outside of the busbar unit; and a second holder disposed on an upper portion of the first holder and configured to press the coil against the first terminal part.

Abstract: 3D printing may include receiving 3D modeling data from a device, transmitting information regarding available 3D printers in a cloud environment to the device, receiving a request to divide a printing task from the device, selecting at least one of the available 3D printers, dividing the 3D modeling data into portions of sub-data based on the request, matching respective portions of the sub-data to at least one of the selected 3D printers.

Abstract: Varying a slicing thickness for 3D modeling may include: receiving 3D modeling data from a user device; slicing the 3D modeling data, in accordance with a first thickness, into multiple cross-sections; calculating a complexity of one or more of the multiple cross-sections; and determining a slicing thickness of the 3D modeling data based on the complexity of the one or more of the multiple cross-sections.

Abstract: In accordance with at least one embodiment, 3D printing resource allocation may include receiving 3D modeling data from a device; slicing the 3D modeling data along a plurality of slicing directions; analyzing the sliced 3D modeling data, with the analyzing pertaining to, at least, a calculated cost and estimated quality of for the slicing of the 3D modeling data along each of the respective slicing directions; generating at least one recommendation for 3D printing based on, at least, the analysis of the sliced 3D modeling data; and transmitting the at least one 3D printing recommendation.

Abstract: Varying a slicing thickness for 3D modeling may include: receiving 3D modeling data from a user device; slicing the 3D modeling data, in accordance with a first thickness, into multiple cross-sections; calculating a complexity of one or more of the multiple cross-sections; and determining a slicing thickness of the 3D modeling data based on the complexity of the one or more of the multiple cross-sections

Abstract: 3D printing may include receiving 3D modeling data from a device, transmitting information regarding available 3D printers in a cloud environment to the device, receiving a request to divide a printing task from the device, selecting at least one of the available 3D printers, dividing the 3D modeling data into portions of sub-data based on the request, matching respective portions of the sub-data to at least one of the selected 3D printers.

Abstract: In accordance with at least one embodiment, 3D printing resource allocation may include receiving 3D modeling data from a device; slicing the 3D modeling data along a plurality of slicing directions; analyzing the sliced 3D modeling data, with the analyzing pertaining to, at least, a calculated cost and estimated quality of for the slicing of the 3D modeling data along each of the respective slicing directions; generating at least one recommendation for 3D printing based on, at least, the analysis of the sliced 3D modeling data; and transmitting the at least one 3D printing recommendation.

Abstract: In one example embodiment, a method to provide an advertisement stream includes: identifying a first slot in a content stream that is to be transmitted to a device; selecting a first advertisement to be transmitted to the device based on a context of at least one of the identified first slot, the content stream, and location information of the device; determining when the device enters a first geographic zone; and streaming the first advertisement in the first slot in the content stream to the device.

Abstract: In one example embodiment, a method performed under control of a server include dividing video content into a plurality of video segments; receiving, from a first content player, a request to stream the video content; receiving segment playing information from a second content player; generating an advertisement and playing information regarding the advertisement based on the segment playing information; selecting at least one of the plurality of video segments based on the segment playing information; generating play sequence information based on the playing information regarding the advertisement and the at least one of the plurality of video segments; transmitting, to the first content player, the generated play sequence information, the advertisement, and the plurality of video segments; and synchronizing the plurality of video segments for playing on the first content player with the plurality of video segments for playing on the second content player.

Abstract: A method for generating a behavior pattern based on information from radio frequency identification tags is disclosed. The method includes identifying a plurality of radio frequency identification tags, generating a radio frequency identification group that corresponds to the plurality of radio frequency identification tags, receiving behavior information that corresponds to the radio frequency identification group from a user device, matching the radio frequency identification group with the behavior information, generating a behavior pattern corresponding to the matched radio frequency identification group and the behavior information, and storing the behavior pattern in a database.

Abstract: A method for generating a behavior pattern based on information from radio frequency identification tags is disclosed. The method includes identifying a plurality of radio frequency identification tags, generating a radio frequency identification group that corresponds to the plurality of radio frequency identification tags, receiving behavior information that corresponds to the radio frequency identification group from a user device, matching the radio frequency identification group with the behavior information, generating a behavior pattern corresponding to the matched radio frequency identification group and the behavior information, and storing the behavior pattern in a database.