Abstract: A method of predicting a movement of a cut-in object, including separating a Doppler velocity corresponding to at least one wheel of the cut-in object from radar data based on a velocity of the cut-in object, determining a position of the at least one wheel of the cut-in object based on the Doppler velocity, generating at least one of first movement information related to a horizontal movement of the cut-in object or second movement information related to a moving direction of the cut-in object based on the position of the at least one wheel, and determining a position of the cut-in object based on at least one of the first movement information or the second movement information.

Abstract: A method and device for object recognition for information collected from a sensor of a moving object are disclosed. The method may include identifying a target with a confidence level of recognition accuracy less than a threshold, based on first sensing information collected from a moving object, obtaining second sensing information on the target from an interworking moving object, synchronizing the first sensing information and the second sensing information based on time information included in the first sensing information and time information included in the second sensing information, and training a neural network for estimating recognition information of the target from the first synchronized sensing information by using information on the target included in the second synchronized sensing information as ground truth data.

Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, and segmenting the image on a per-frame basis; primarily learning labeling results for one or more objects in the image segmented on a per-frame basis; performing primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.

Abstract: The present invention relates to an antigen-binding molecule comprising a heavy chain variable region comprising a heavy-chain complementarity-determining region 1 (HCDR1) comprising an amino acid sequence represented by Sequence No. 1, an HCDR2 comprising an amino acid sequence represented by Sequence No. 2, and an HCDR3 comprising an amino acid sequence represented by Sequence No. 3; a light-chain variable region comprising a light-chain complementarity-determining region 1 (LCDR1) comprising an amino acid sequence represented by Sequence No. 4, an LCDR2 comprising an amino acid sequence represented by Sequence No. 5, and an LCDR3 comprising an amino acid sequence represented by Sequence No. 6; wherein the antigen-binding molecule is a T cell receptor (TCR); and to a cell line expressing the same.

Abstract: The present invention relates to a positive electrode active material having improved capacity characteristic and life cycle characteristic, and a method of preparing the same, and specifically, to a positive electrode active material for a lithium secondary battery, wherein the positive electrode active material comprises a compound represented by Formula 1 above and allowing reversible intercalation/deintercalation of lithium, and from a crystal structure analysis of the positive electrode active material by a Rietveld method in which space group R-3m is used in a crystal structure model on the basis of an X-ray diffraction analysis, the thickness of MO slab is 2.1275 ? or less, the thickness of inter slab is 2.59 ? or greater, and the cation mixing ratio between Li and Ni is 0.5% or less, and a method of preparing the same.

Abstract: An embodiment of the present disclosure discloses tobacco material including: a center portion including a flavor material; and an outer portion including a tobacco mixture, wherein the outer portion surrounds the center portion.

Abstract: Disclosed herein are a method and apparatus for converting a credential data schema.

Abstract: Disclosed herein is a method for user-centered visitor access management, which may include issuing, by a management office server, a digital certificate to a householder terminal; registering, by a wall-pad, a householder in response to a request to register the householder based on the digital certificate; requesting, by the householder terminal, the management office server to register a visitor based on a visit request from a visitor terminal and delegating the digital certificate to the visitor terminal; making an entry request to a management terminal based on the digital certificate; verifying, by the wall-pad, the digital certificate based on a request for verification for entry from a wall-pad management terminal and providing a verification result to the wall-pad management terminal when the management terminal is the wall-pad management terminal; and managing and controlling, by the wall-pad, permission to use home devices based on delegated permission information of the digital certificate.

Abstract: A high-quality voice signal processing device through removal of ambient noise based on multi-sensor signal fusion, includes: a voice microphone sensor that senses and outputs a speaker's voice signal; an accelerometer sensor that senses vibration of the speaker's vocal cords and outputs a signal; a noise reduction processing MCU that extracts a voice section according to vocal cord vibration using the output signal of the accelerometer sensor, synthesizes a low-frequency component of the accelerometer sensor and a low-frequency component of the voice microphone sensor at different synthesis ratios based on a level of noise extracted from the output signal of the voice microphone sensor using voice section information, and restores and outputs a voice signal by adding the synthesized low-frequency components and a high-frequency component of the voice microphone sensor; and a wireless communication module that externally outputs the restored voice signal.

Abstract: Disclosed herein are image-based object recognition method and system by and in which a learning server performs image-based object recognition based on the learning of environment variable data. The image-based object recognition method includes: receiving an image acquired through at least one camera, and segmenting the image on a per-frame basis; primarily learning labeling results for one or more objects in the image segmented on a per-frame basis; performing primary reasoning by performing object detection in the image through a model obtained as a result of the primary learning; performing data labeling based on the results of the primary reasoning, and performing secondary learning with weights allocated to respective boxes obtained by the primary reasoning and estimated as object regions; and finally detecting one or more objects in the image through a model generated as a result of the secondary learning.

Abstract: Provided is a method of automatically combining a farm vehicle with a work machine including confirming a current position of the work machine, moving a farm vehicle into a range having a predetermined radius around the current position, and controlling the farm vehicle, on the basis of a current position and direction of a first coupling unit included in the work machine, so that the first coupling unit and a second coupling unit included in the farm vehicle are coupled to each other.

Abstract: A display device includes first and second gate lines extending in a first direction; first and second data lines extending in a second direction and crossing the first and second gate lines; and a first horizontal pixel row including first, second, and third sub-pixels sequentially arranged in the first direction, wherein the first sub-pixel is connected to the first gate line and the first data line, the second sub-pixel is connected to the second gate line and the first data line, and the third sub-pixel is connected to the first gate line and the second data line.

Abstract: The present invention relates to a method for planarizing a CIS-based thin film, the method including: electropolishing a CIS-based compound layer by applying current or voltage to an electrochemical cell including: a CIS-based compound layer provided on a conductive base material, as a working electrode; a counter electrode; and an electrolyte solution including a precursor of elements constituting the CIS-based compound layer, a supporting electrolyte, a complexing agent, and an additive including a hydroxy functional group.