Abstract: A method of a base station may comprise: determining one of machine learning (ML) models for receiving channel information for a channel to communicate with a terminal based on capability information of the terminal; providing configuration information of the determined ML model to the terminal; updating the determined ML model through online training with the terminal; and receiving channel information using the updated ML model from the terminal when communicating with the terminal.

Abstract: The present disclosure relates to a method and apparatus for training artificial intelligence based on an episodic memory. According to an embodiment of the present disclosure, a method for training artificial intelligence based on an episodic memory may include: constructing an episodic memory by using a feature vector of a training dataset stored in a full memory; obtaining output data by inputting query data into an artificial intelligence model; deriving a similarity between the output data and a feature vector in the constructed episodic memory; and deriving an episode loss function based on the similarity.

Abstract: An operation method of a terminal in a communication system may comprise: receiving a first occurrence reporting condition of a handover problem from a source base station; performing a handover from the source base station to a target base station; identifying whether a handover problem occurs based on the first occurrence reporting condition while performing the handover; and in response to identifying that a handover problem occurs, transmitting information indicating the occurrence of the handover problem to the target base station.

Abstract: An electronic device according to an embodiment disclosed herein may include a memory including at least one instruction and a processor. By executing the at least one instruction, the processor may check feature information corresponding to a video and including at least one of an appearance-related feature value and a motion-related feature value from the video, calculate at least one of a starting score related to a starting point of an action instance, an ending score related to an ending point of an action instance, and a relatedness score between action instances on the basis of the feature information corresponding to the video, the action instances being included in the video, and generate an action proposal included in the video on the basis of the at least one score.

Abstract: The present invention relates to: a polyolefin-based resin foam including a polyolefin-based resin and a conductive filler containing carbon nanotubes and carbon black, wherein the weight ratio of the carbon nanotubes to the carbon black is about 1:1.5 to about 1:5; and a molded product produced therefrom. The polyolefin-based resin foam according to the present invention includes the carbon nanotubes and the carbon black in an appropriate ratio, and thus a molded product having good bondability and exhibiting low surface resistance and surface resistance deviation can be produced by molding the same.

Abstract: The present invention relates to methods for preparing silicon carbide powder and single crystal silicon carbide and, more particularly, to a method for preparing silicon carbide powder including: providing a precursor gas onto a fibrous carbon body in a reactor to deposit silicon carbide (SiC) on the fibrous carbon body; recovering the silicon carbide deposited on the fibrous carbon body to obtain a first silicon carbide powder; and oxidizing the first silicon carbide powder, wherein a molecule of the precursor gas include a silicon atom and a carbon atom.

Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.

Abstract: A semiconductor memory device may include a mold structure that includes mold insulation films and gate electrodes alternately stacked on a first substrate, a channel structure that penetrates the mold structure and intersects the gate electrodes, a block separation region that extends in a first direction parallel to an upper surface of the first substrate and cuts the mold structure, a first dam region and a second dam region spaced apart from each other, that each having a closed loop in a plan view and each cutting the mold structure, pad insulation films in the first and second dam regions that are alternately stacked with the mold insulation films and include a material different from the mold insulation films, and a through via which penetrates through the first substrate, the mold insulation films, and the pad insulation films, in the first dam region but not in the second dam region.

Abstract: A method performed by a first wireless station is described. The method includes determining, by a Media Access Control (MAC) layer of the first wireless station, a plurality of MAC Protocol Data Units (MPDUs) to transmit to a second wireless station in an aggregated MPDU, wherein a physical layer of the first station is to use a plurality of codewords to represent the plurality of MPDUs, wherein a first MPDU in the plurality of MPDUs is to be represented by a first set of codewords and a second MPDU is to be represented by a second set of codewords from the plurality of codewords; appending padding to the first MPDU such that the first set of codewords does not share a codeword with the second set of codewords; and transmitting the first set of codewords and the second set of codewords to the second wireless station.

Abstract: An operation method performed by a mobile base station in a communication system may comprise: obtaining altitude information; configuring altitude indicator information indicating whether the obtained altitude information is higher or lower than an altitude reference in cooperation with a drone management device based on the obtained altitude information; and transmitting the configured altitude indicator information to a terminal.

Abstract: Provided is a water-chair type electric wheelchair system having an energy-independent water electrolysis fuel cell. A water-chair type electric wheelchair system having an energy-independent water electrolysis fuel cell according to the present invention includes: a hydrogen supply unit for performing water electrolysis processing using supplied available water and supplying hydrogen gas to the fuel cell by controlling the pressure of the hydrogen gas produced through the water electrolysis processing, a fuel cell for generating electric energy on the basis of the supplied hydrogen gas; and a battery management unit for supplying power for the water-chair type electric wheelchair system having the energy-independent type water electrolysis fuel cell without requiring separate energy charging. The water-chair type electric wheelchair system having the energy-independent water electrolysis fuel cell can be used as an electric scooter for the elderly or challenged.

Abstract: An energy-independent water electrolysis fuel cell water vehicle system is suggested. The energy-independent water electrolysis fuel cell water vehicle system suggested in the present invention comprises: a water electrolysis processing unit for performing a water electrolysis process by using supplied water while power is not being received from the outside; a gas control unit for adjusting the pressure of a hydrogen gas produced through the water electrolysis process, storing the hydrogen gas in a hydrogen storage by using a gas compression method, and then supplying the hydrogen gas; a fuel cell for generating electrical energy on the basis of the supplied hydrogen gas; and a power control unit for supplying the generated electrical energy as a driving power for the energy-independent water electrolysis fuel cell water vehicle system.

Abstract: The present invention relates to a foam composition for vehicle seat cushions, foam for a vehicle seat cushion, and a manufacturing method therefor, the foam composition comprising: (A) 49.5 wt % to 80 wt % of a polypropylene-based resin; (B) 19.5 wt % to 50 wt % of a modified olefin-based elastomer resin having a melting temperature (Tm) of 60° C. to 110° C. and a melting index (MI) value of 0.5 g/10 min to 4 g/10 min, as measured at 190° C. under a load of 2.16 kg according to ASTM D1238; and 0.1 wt % to 0.5 wt % of (C) a filler.

Abstract: A method for manufacturing semi-conductive polypropylene resin foamed particles of the present invention comprises the steps of: allowing carbon nanotubes to be adsorbed on surfaces of polypropylene resin composition pellets to manufacture carbon nanotube-adsorbed pellets (CNT-PP); and foaming the carbon nanotube-adsorbed pellets (CNT-PP) to form foamed particles.

Abstract: An electronic device including a flexible display and a method thereof are disclosed herein. The electronic device may include the flexible display and a processor. The processor implements the method, including controlling the flexible display to divide a display area into a first area and a second area, controlling the flexible display to display a first graphic element related to a first application in the first area, and a second graphic element related to controlling the first application in the second area, and controlling the first application responsive to detecting an input to the second graphic element.

Abstract: An electronic device according to an embodiment disclosed herein may include a memory including at least one instruction and a processor. By executing the at least one instruction, the processor may check feature information corresponding to a video and including at least one of an appearance-related feature value and a motion-related feature value from the video, calculate at least one of a starting score related to a starting point of an action instance, an ending score related to an ending point of an action instance, and a relatedness score between action instances on the basis of the feature information corresponding to the video, the action instances being included in the video, and generate an action proposal included in the video on the basis of the at least one score.

Abstract: A method performed by a first wireless station is described. The method includes determining, by a Media Access Control (MAC) layer of the first wireless station, a plurality of MAC Protocol Data Units (MPDUs) to transmit to a second wireless station in an aggregated MPDU, wherein a physical layer of the first station is to use a plurality of codewords to represent the plurality of MPDUs, wherein a first MPDU in the plurality of MPDUs is to be represented by a first set of codewords and a second MPDU is to be represented by a second set of codewords from the plurality of codewords; appending padding to the first MPDU such that the first set of codewords does not share a codeword with the second set of codewords; and transmitting the first set of codewords and the second set of codewords to the second wireless station.

Abstract: The present disclosure relates to a resin composition for preparing polyolefin-based foamed articles having flame retardancy and flame retardant foamed articles formed therefrom. The resin composition according to the present disclosure can provide foamed articles having excellent flame retardancy and flame resistance while exhibiting a high fusion ratio and a low shrinkage ratio in the foam molding.

Abstract: A domain adaptation-based object recognition apparatus includes a memory configured to store a domain adaptation-based object recognition program and a processor configured to execute the program. The processor learns a generative model for generating a feature or an image similar to a gallery image on the basis of domain adaptation in association with an input probe image and learns an object recognition classification model by using a learning database corresponding to the gallery image and the input probe image, thereby performing object recognition using the input probe image.

Abstract: Provided is a dynamic object detecting technique, and more specifically, a system and method for determining a state of a motion of a camera on the basis of a local motion estimated on the basis of a video captured by a dynamic camera and a result of analyzing a global motion, flexibly updating a background model according to the state of the motion of the camera, and flexibly detecting a dynamic object according to the state of the motion of the camera.