Abstract: A semiconductor device may include a voltage generation circuit configured to generate a driving voltage in response to a voltage control signal, a row decoder configured to select at least one word line, among a plurality of word lines, in response to a row address signal, and configured to apply the driving voltage to the selected word line, a column decoder configured to select at least one bit line, among a specific bit line and a plurality of bit lines, in response to a column address signal and a control circuit configured to generate the voltage control signal, the row address signal, and the column address signal, and configured to control the column decoder to select the specific bit line and at least one of the plurality of bit lines in a firing operation.

Abstract: The present invention relates to a chemical cross-linking based porous material for tissue regeneration and hemostasis, including an extracellular matrix of decellularized kidney tissue, and a method for production thereof. The porous material including an extracellular matrix of decellularized kidney tissues according to the present invention forms a chemical cross-linking bond, while the final product does not contain any existing cross-linking agent component, whereby the porous material can be utilized in biocompatible substances. Further, the porous material of the present invention does not only have rapid hemostasis but also delays degradation in a long term to thus exhibit tissue regeneration effects, so that the porous material is expected to be usefully applicable for treatment of different diseases due to tissue damage in a variety of tissues, or for hemostasis and tissue regeneration at removal of tissues or incision operation.

Abstract: Disclosed herein are an apparatus and method for evaluating a human motion using a mobile robot. The method may include identifying the exercise motion of a user by analyzing an image of the entire body of the user captured using a camera installed in the mobile robot, evaluating the pose of the user by comparing the standard pose of the identified exercise motion with images of the entire body of the user captured by the camera of the mobile robot from two or more target locations, and comprehensively evaluating the exercise motion of the user based on the pose evaluation information of the user from each of the two or more target locations.

Abstract: Disclosed herein are an apparatus and method for classifying clothing attributes based on deep learning. The apparatus includes memory for storing at least one program and a processor for executing the program, wherein the program includes a first classification unit for outputting a first classification result for one or more attributes of clothing worn by a person included in an input image, a mask generation unit for outputting a mask tensor in which multiple mask layers respectively corresponding to principal part regions obtained by segmenting a body of the person included in the input image are stacked, a second classification unit for outputting a second classification result for the one or more attributes of the clothing by applying the mask tensor, and a final classification unit for determining and outputting a final classification result for the input image based on the first classification result and the second classification result.

Abstract: The present invention relates to a flexible electrode material and a preparation method therefor. An aspect of the present invention provides a flexible electrode material comprising a graphene film and a free-standing metal oxide formed on the graphene film.

Abstract: The present invention relates to a food composition for enhancing immune function, which includes a fermented noni polysaccharide extract, and a method of preparing the same. The present invention may provide a polysaccharide extract prepared from a fermented noni extract. The present invention may provide a fermented noni polysaccharide extract, in which when the polysaccharide extract aqueous solution is provided at a concentration of 200 ?g/mL to RAW264.7 macrophages, an NO production value is 200% to 500% relative to RAW264.7 macrophages to which the polysaccharide extract solution is not provided.

Abstract: The method for decellularization of kidney tissue according to the present invention, the decellularized material produced through the method, and a bioink comprising the decellularized material have the effect of maximizing the effect of kidney treatment by maximizing the content of components specialized for kidney treatment such as the collecting duct and renal tubule of the kidney.

Abstract: Disclosed herein are an apparatus and method for generating robot interaction behavior. The method for generating robot interaction behavior includes generating co-speech gesture of a robot corresponding to utterance input of a user, generating a nonverbal behavior of the robot, that is a sequence of next joint positions of the robot, which are estimated from joint positions of the user and current joint positions of the robot based on a pre-trained neural network model for robot pose estimation, and generating a final behavior using at least one of the co-speech gesture and the nonverbal behavior.

Abstract: The present invention relates to a kidney organoid having a nephron-like structure and a production method therefor. A kidney organoid culture system using kidney dECM hydrogels according to the present invention induced the vascularization of the kidney organoid and the expression of podocytes, tubular transporters, and cilium genes, and has an effect of forming a more mature nephron-like structure. Therefore, the kidney organoid produced by the method of the present invention is an option for treating nephron loss through transplantation into humans, and is expected to be utilized as a kidney on a chip, which is an in vitro kidney model.

Abstract: Disclosed herein a method and apparatus for recommending a table service based on image recognition. According to an embodiment of the present disclosure, there is provided a method for recommending a table service, including: receiving a table image that is captured in real time; acquiring, by using an artificial intelligence of a pre-learned learning model, table information that includes object information and food information of at least one table in the table image; and recommending, based on the table information, a service for each of the at least one table.

Abstract: Disclosed herein are an apparatus and method for classifying clothing attributes based on deep learning. The apparatus includes memory for storing at least one program and a processor for executing the program, wherein the program includes a first classification unit for outputting a first classification result for one or more attributes of clothing worn by a person included in an input image, a mask generation unit for outputting a mask tensor in which multiple mask layers respectively corresponding to principal part regions obtained by segmenting a body of the person included in the input image are stacked, a second classification unit for outputting a second classification result for the one or more attributes of the clothing by applying the mask tensor, and a final classification unit for determining and outputting a final classification result for the input image based on the first classification result and the second classification result.

Abstract: The present invention relates to a novel quercetin derivative compound and to a use thereof. More specifically, the present invention relates to a novel quercetin derivative compound having inhibitory activity against bromodomain extra-terminal (BET) proteins, and to a pharmaceutical composition for preventing or treating BET protein-related diseases, comprising the same.

Abstract: The present invention relates to a bellows framework having a concave-convex structure on at least one of outer and inner sides using three-dimensional printing technology and a method of producing thereof, and an artificial tracheal replacement comprising an epithelium part formed on the inner side of the bellows framework and an annular cartilage part formed along the circumference of concave-convex grooves on the outer side and a method of producing thereof.

Abstract: Disclosed herein are an apparatus and method for generating robot interaction behavior. The method for generating robot interaction behavior includes generating co-speech gesture of a robot corresponding to utterance input of a user, generating a nonverbal behavior of the robot, that is a sequence of next joint positions of the robot, which are estimated from joint positions of the user and current joint positions of the robot based on a pre-trained neural network model for robot pose estimation, and generating a final behavior using at least one of the co-speech gesture and the nonverbal behavior.

Abstract: Disclosed herein are an apparatus and method for determining a modality of interaction between a user and a robot. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform recognizing a user state and an environment state by sensing circumstances around a robot, determining an interaction capability state associated with interaction with a user based on the recognized user state and environment state, and determining the interaction behavior of the robot for the interaction with the user based on the user state, the environment state, and the interaction capability state.

Abstract: Disclosed herein are an apparatus and method for recommending federated learning based on recognition model tendency analysis. The method for recommending federated learning based on recognition model tendency analysis in a server device may include analyzing the tendency of a recognition model trained using reinforcement learning by each of multiple user terminals, grouping the multiple user terminals according to the tendency of the recognition model, and transmitting federated-learning group information including information about other user terminals grouped together with at least one of the multiple user terminals.

Abstract: Disclosed herein are an apparatus and method for evaluating a human motion using a mobile robot. The method may include identifying the exercise motion of a user by analyzing an image of the entire body of the user captured using a camera installed in the mobile robot, evaluating the pose of the user by comparing the standard pose of the identified exercise motion with images of the entire body of the user captured by the camera of the mobile robot from two or more target locations, and comprehensively evaluating the exercise motion of the user based on the pose evaluation information of the user from each of the two or more target locations.

Abstract: The method for decellularization of kidney tissue according to the present invention, the decellularized material produced through the method, and a bioink comprising the decellularized material have the effect of maximizing the effect of kidney treatment by maximizing the content of components specialized for kidney treatment such as the collecting duct and renal tubule of the kidney.

Abstract: An electronic device and a method for fabricating the same are provided. An electronic device according to an implementation of the disclosed technology is an electronic device including a semiconductor memory, wherein the semiconductor memory includes: a plurality of first lines extending in a first direction; a plurality of second lines extending in a second direction that intersects with the first direction; a plurality of variable resistance elements disposed between the first lines and the second lines and located at intersections of the first lines and the second lines; and a plug connected to a first portion of each of the first lines, wherein the plug comprises a conductive layer and a material layer having a resistance value higher than that of the conductive layer.

Abstract: Disclosed herein are an apparatus and method for evaluating a physical activity ability. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program recognizes the position of a human by analyzing an image input through a camera, identifies the motion of the human by analyzing the sequence of the image, and evaluates the physical activity ability of the human from the motion of the human based on the body segment of the human.