Abstract: A display device includes a bank pattern disposed on a substrate, a first electrode pattern disposed on the bank pattern, a light-emitting element disposed on the first electrode pattern to be electrically connected to the first electrode pattern, a second electrode pattern configured to cover the light-emitting element, an inorganic insulating layer configured to cover the bank pattern, the first electrode pattern, and the light-emitting element between the first electrode pattern and the second electrode pattern, and a diffusion layer which includes a plurality of diffusion particles and is in contact with the inorganic insulating layer.

Abstract: Proposed is a wireless communication system and, in more detail, an apparatus and method for intelligent model and functionality management considering inference time in a wireless communication system. A method of operating user equipment (UE) for identifying and managing an intelligent functionalities or models in a wireless communication system, includes a process of receiving UE capability enquiry from a base station (BS), and a process of transmitting UE capability information to the base station, wherein the UE capability information includes inference time information, the base station identifies intelligent functionality and model that the user equipment can support, on the basis of the UE capability enquiry and the UE capability information, and performance of an intelligent model that the user equipment can perform is identified on the basis of the inference time information.

Abstract: A display panel and a display apparatus including the display panel are presented herein. A display panel according to one or more embodiments includes a substrate; an insulating layer on the substrate; a bank pattern on the insulating layer; a first electrode on the bank pattern; a contact electrode on the insulating layer, the contact electrode spaced apart from the bank pattern; a light-emitting element on the first electrode; a first optical layer surrounding the light-emitting element, the first optical layer comprising an organic insulating material including metal particles; a second optical layer on the contact electrode; and a third optical layer on the first optical layer.

Abstract: The present invention relates to an antibody against resistin and use thereof and, more specifically, to a resistin antibody or antigen-binding fragment thereof that inhibits the activity of resistin by blocking resistin/CAP1 binding, a nucleic acid encoding same, a vector comprising the nucleic acid, a cell transformed with the vector, a method for preparing the antibody or antigen-binding fragment thereof, an antibody-drug conjugate comprising the antibody or antigen-binding fragment thereof, a bi- or multi-specific antibody, a chimeric antigen receptor, an immune cell containing same, and a composition for the prevention or treatment of diseases that can be treated through the inhibition of resistin activity, the composition comprising same.

Abstract: Disclosed is a system for managing a vehicle battery that is chargeable/dischargeable and stores energy for driving a vehicle driving motor. The system for managing the vehicle battery as disclosed includes a controller that measures a polarization voltage of each of a plurality of battery cells in a vehicle battery after charging of the vehicle battery is terminated, and determines whether each of the plurality of battery cells is abnormal based on the measured polarization voltage.

Abstract: Disclosed is a system for managing a vehicle battery that is chargeable/dischargeable and stores energy for driving a vehicle driving motor. The system for managing the vehicle battery as disclosed includes a controller that measures a polarization voltage of each of a plurality of battery cells in a vehicle battery after charging of the vehicle battery is terminated, and determines whether each of the plurality of battery cells is abnormal based on the measured polarization voltage.

Abstract: A battery diagnosis apparatus may include a plurality of batteries, sensing units matched with the batteries on a one-to-one basis to detect a voltage or an State of charge (SOC) value of each of the batteries, and a processor. The processor is configured to determine a largest SOC deviation between a first battery and a second battery selected among the batteries, obtain a largest voltage deviation between the first battery and the second battery based on the largest SOC deviation, set a threshold value proportional to the largest voltage deviation, and diagnose whether a voltage deviation between the first battery and the second battery is abnormal by comparing a measured voltage deviation between the first battery and the second battery with the threshold value.

Abstract: An apparatus for diagnosing a battery includes a plurality of battery modules, sensing units respectively matched with the battery modules on a one-to-one basis and that detect voltages of the battery modules and a processor which is configured to detect a replacement module provided for replacement among the battery modules, enters a first diagnosis mode based on detection of the replacement module to distinguish a replacement group including the replacement module and a reference group including battery modules other than the replacement module among the battery modules, and is configured to determine battery cell performance of the reference group and battery cell performance of the replacement group separately from the battery cell performance from the reference group in the first diagnosis mode.

Abstract: An computing system includes: receiving an image that captures a hand and an object; estimating a three-dimensional (3D) mesh of the hand based on the image; estimating a two-dimensional (2D) segment of the object based on the image; estimating a 3D feature representing a correlation of the hand and the object, based on the 3D mesh of the hand and the 2D segment of the object; and generating a first set of output parameters for a first 3D query point, based on the 3D feature representing the correlation of the hand and the object.

Abstract: A method and system for cloth registration to improve modeling clothes by providing, for example, wrinkle-accurate cloth registration. The method includes obtaining an input scan of clothing in motion. The method includes generating a mesh representing the cloth in the scan based on a diffusion-based shape prior. The method includes registering a model of the cloth from the scan using a guidance process including at least: guiding deformation of the clothing based on a coarse registration signal based on the mesh and guiding the deformation of the clothing based on a distance between points in the mesh and a template mesh.

Abstract: An electronic device for manipulating a target object, including: a camera; a memory; and at least one processor configured to: obtain a first image of the target object, wherein the first image is captured by the camera, provide the first image and a target image to an artificial intelligence (AI) model to obtain relative pose information, based on the obtained relative pose information, generate a similarity value, and generate a control command based on the similarity value, wherein based on the similarity value being greater than a threshold value, the control command includes a movement command for moving a manipulator associated with the electronic device from a first position to a second position, and wherein based on the similarity value being less than or equal to the threshold value, the control command includes a manipulation command for manipulating the target object using the manipulator.

Abstract: An available capacity-based billing system includes a vehicle including a battery, and a battery controller configured to determine a maximum value and a minimum value of a state of charge (SOC) of the battery based on settings of an available capacity of the battery, a user terminal configured to receive a capacity setting change request including a setting change amount of the available capacity and then to transmit the capacity setting change request, and a server configured to receive the capacity setting change request transmitted by the user terminal and to determine a battery usage fee corresponding to the setting change amount of the available capacity included in the received capacity setting change request.

Abstract: Proposed is a method in which a server presents content through a chat room. The method may include acquiring information about a keyword or theme of the content, information about a condition for presenting the content, and information about the chat room, wherein the chat room is related to the keyword or theme and a plurality of users are able to participate in the chat room. The method may also include providing the chat room to a user terminal in association with the information about the keyword or theme of the content. The method may further include searching for the content in a content pool based on the keyword or theme, and when the condition for presenting the content is satisfied, presenting at least some items of the searched content to the user terminal through the chat room.

Abstract: A system for estimating a state of health (SOH) of a battery using big data, may include a big data server receiving vehicle driving-related data generated from a vehicle and a result of determining the SOH of the battery, processing the received vehicle driving-related data, and generating and storing a factor related to the SOH of the battery mounted in the vehicle; and a controller mounted in the vehicle and determining the SOH of the battery referring to the factor stored in the big data server.

Abstract: a system for estimating a vehicle battery charging time using big data is provided. The system may include a big-data server configured to collect a charge-related parameter of a battery in a vehicle from a plurality of vehicles, to group the plurality of vehicles into a plurality of groups based on the collected charge-related parameter, and to calculate and transmit a first estimated charging time of a group to which the vehicle belongs during vehicle charging, and a controller installed in each of the plurality of vehicles, and configured to calculate a second estimated charging time based on a state of the battery in the vehicle while the corresponding battery in the vehicle is charged and to calculate a final estimated charging time of the battery by combining the first estimated charging time and the second estimated charging time.

Abstract: A system for controlling vehicle power using big data is provided. The system includes a big data server that receives vehicle driving related data, processes and analyzes the received data to generate a driving power pattern of the vehicle, and stores the driving power pattern. A vehicle controller determines whether to limit charging/discharging power of a battery based on continuous charging/discharging time or an accumulation amount of continuous charging/discharging power of the battery and calculates battery charging/discharging power to be limited based on the driving power pattern received from the big data server when the charging/discharging power of the battery is limited.

Abstract: A method and system for providing information for determining whether to enter battery pre-conditioning includes: searching for at least one charging station that satisfies a certain condition based on a current location of a vehicle; determining charging condition information about at least one found charging station for each case of performing battery pre-conditioning and not performing battery pre-conditioning; and outputting the determined charging condition information.

Abstract: An embodiment system for controlling a battery temperature for vehicle-to-vehicle charging includes an info controller provided in a power receiving electric vehicle and configured to receive information on a power transmitting electric vehicle and charging schedule information from a vehicle-to-vehicle charging service server, a vehicle controller configured to receive the information on the power transmitting electric vehicle and the charging schedule information from the info controller, to receive battery temperature information of the power receiving electric vehicle from a battery controller, and to calculate an estimated charging time of vehicle-to-vehicle charging by the power transmitting electric vehicle, and a battery temperature controller configured to control the battery temperature of the power receiving electric vehicle by controlling operation of a battery heater or a battery chiller, wherein the vehicle controller is configured to control the battery temperature controller in consideration o

Abstract: A system for controlling vehicles using distributed cloud computing is provided. The system includes a first layer cloud server for collecting vehicle status data generated in a vehicle from the vehicle in real time and processing the collected data in real time. A second layer cloud server receives the vehicle status data generated in the vehicle, data collected by the first layer cloud server or data processed in the first layer cloud server, processes the received data, stores the processed data, and provides the stored data to the vehicle directly or via the first layer cloud server.

Abstract: A system for controlling vehicle power using big data is provided. The system includes a big data server that receives vehicle driving related data, processes and analyzes the received data to generate a driving power pattern of the vehicle, and stores the driving power pattern. A vehicle controller determines whether to limit charging/discharging power of a battery based on continuous charging/discharging time or an accumulation amount of continuous charging/discharging power of the battery and calculates battery charging/discharging power to be limited based on the driving power pattern received from the big data server when the charging/discharging power of the battery is limited.