Abstract: The present disclosure relates to an air cleaner with an improved locking structure. The air cleaner includes a cabinet, a panel having a plurality of holes for discharging air to the front of the cabinet and detachably mounted on the cabinet, and a locking device to detachably connect the cabinet and the panel, wherein the locking device includes a first locking member disposed on the panel, and a second locking member disposed in the cabinet to lock or unlock the first locking member by being rotated by pressing of the first locking member.

Abstract: An embodiment voltage converter includes a DC-DC converter and a controller. The DC-DC converter includes a transformer, a main switch connected to an input terminal and the transformer, and first and second synchronous rectification switches connected to an output terminal and the transformer, and the controller is configured to switch the main switch so that the DC-DC converter adjusts a voltage of the input terminal and outputs the voltage to the output terminal and to complementarily switch the first and second synchronous rectification switches without dead time.

Abstract: The present disclosure relates to a method for providing a medical information using a device. a patient's status information is received. a medical information is provided for on a disease treatment step for each time domain over time based on the patient's status information. the medical information varies in detail on the disease treatment step for each time domain based on a number of items included in the patient's status information.

Abstract: A method for verifying reliability of an artificial intelligence (AI) model includes receiving an AI model request; creating a verification twin for evaluating the reliability of the AI model; and verifying the reliability of the AI model based on information collected while the AI model is executed on the digital twin network.

Abstract: A method of manufacturing a semiconductor memory device includes processing a first substrate including a first align mark and a first structure, processing a second substrate including a second align mark and a second structure, orientating the first substrate and the second substrate such that the first structure and the second structure face each other, and controlling alignment between the first structure and the second structure by using the first align mark and the second align mark to couple the first structure with the second structure.

Abstract: A method of inter-predicting a current block using any one of a plurality of bi-prediction modes is disclosed. The method comprises decoding, from a bitstream, mode information indicating whether a first mode included in the plurality of bi-prediction modes is applied to the current block. When the mode information indicates that the first mode is applied to the current block, the method further comprises: decoding, from the bitstream, first motion information including differential motion vector information and predicted motion vector information for a first motion vector and second motion information not including at least a portion of predicted motion vector information and differential motion vector information for a second motion vector; and deriving the first motion vector based on the first motion information and deriving the second motion vector based on both at least a portion of the first motion information and the second motion information.

Abstract: An embodiment method of recognizing a parking floor for a vehicle includes recognizing a spot at which the vehicle enters a parking deck, obtaining an inclination signal indicating an inclination trajectory of the vehicle traveling during a parking period from entry to the parking deck to parking, obtaining an inclination pulse of the inclination signal based on a reference inclination value, and determining a floor number of the parking deck on which the vehicle is parked using the inclination pulse.

Abstract: A display device includes a display panel including pixels connected to a plurality of power input lines and receiving EVSS power, a first power line connected to one end of each of the power input lines to apply first EVSS power, a second power line connected to the other end of each of the power input lines to apply second EVSS power having the same electric potential as that of the first EVSS power, and a power supply configured to apply the first EVSS power through the first power line or to apply the second EVSS power through the second power line.

Abstract: The present invention relates to: a battery cell including a punched portion formed through a separator, and a short-circuit inducing member disposed on the punched portion; and a method for evaluating the safety of a battery under internal short-circuit conditions by using the battery cell. Using the battery cell of the present invention, the safety of a battery under internal short-circuit conditions can be easily evaluated without physical deformation or reassembly of the battery cell.

Abstract: The chuck for supporting a target substrate for a display device, the chuck includes: a base having a first surface to support an object and a second surface opposite the first surface, the first surface including a first area and a second area; and indentations formed in the second area and recessed from the first area in a thickness direction of the base. The indentations include a first indentation extending in a first direction and a second indentation extending in a second direction intersecting the first direction.

Abstract: A method of inter-predicting a current block using any one of a plurality of bi-prediction modes is disclosed. The method comprises decoding, from a bitstream, mode information indicating whether a first mode included in the plurality of bi-prediction modes is applied to the current block. When the mode information indicates that the first mode is applied to the current block, the method further comprises: decoding, from the bitstream, first motion information including differential motion vector information and predicted motion vector information for a first motion vector and second motion information not including at least a portion of predicted motion vector information and differential motion vector information for a second motion vector; and deriving the first motion vector based on the first motion information and deriving the second motion vector based on both at least a portion of the first motion information and the second motion information.

Abstract: The present embodiment relates to a dual lens drive device that comprises: a housing; a first bobbin which is disposed to move in a first direction inside the housing; a second bobbin which is disposed to move in the first direction inside housing and is spaced apart from the first bobbin; a first coil which is disposed on the first bobbin; a second coil which is disposed on the second bobbin; a magnet which is disposed in the housing and faces the first coil and the second coil; a base which is disposed below the housing; a substrate which comprises a circuit member having a third coil disposed to face the magnet between the housing and the base; and a support member which movably supports the housing with respect to the substrate, wherein the housing is integrally formed.

Abstract: An embodiment vehicle includes a DC/DC converter having a first power terminal connected to a first electrode of a first battery, a second power terminal connected to a first electrode of a second battery, and a load terminal connected to a first end of an electric load, and including a switching circuit, a transformer, and a rectifier circuit, and a controller configured to set an operation mode of the DC/DC converter to a low-voltage DC/DC converter (LDC) mode or a state-of-charge (SOC) balancing mode, wherein the DC/DC converter is configured to step down a voltage of the first power terminal through the switching circuit, the transformer, and the rectifier circuit and output the voltage to the load terminal when the LDC mode is performed and to control power transfer between the first and second power terminals through the switching circuit when the SOC balancing mode is performed.

Abstract: A dielectric composition includes a main ingredient having a perovskite structure represented by ABO3, where A is at least one of Ba, Sr, and Ca and B is at least one of Ti, Zr, and Hf, and a first accessory ingredient. The first accessory ingredient comprises 0.1 mole or more of a rare earth element, 0.02 mole or more of Nb, and 0.25 mole or more and 0.9 mole or less of Mg, a sum of contents of the rare earth element and Nb is 1.5 mole or less.

Abstract: A method of inter-predicting a current block using any one of a plurality of bi-prediction modes is disclosed. The method comprises decoding, from a bitstream, mode information indicating whether a first mode included in the plurality of bi-prediction modes is applied to the current block. When the mode information indicates that the first mode is applied to the current block, the method further comprises: decoding, from the bitstream, first motion information including differential motion vector information and predicted motion vector information for a first motion vector and second motion information not including at least a portion of predicted motion vector information and differential motion vector information for a second motion vector; and deriving the first motion vector based on the first motion information and deriving the second motion vector based on both at least a portion of the first motion information and the second motion information.

Abstract: A touch display device exhibiting low reflectivity is disclosed. The touch display device includes a light-blocking stack composed of at least two light-blocking color layers overlapping a plurality of touch electrodes disposed on an encapsulation unit, and a low-reflection layer disposed on the light-blocking stack, thereby absorbing external light without a separate polarizing plate, thus exhibiting low reflectivity.

Abstract: A method of inter-predicting a current block using any one of a plurality of bi-prediction modes is disclosed. The method comprises decoding, from a bitstream, mode information indicating whether a first mode included in the plurality of bi-prediction modes is applied to the current block. When the mode information indicates that the first mode is applied to the current block, the method further comprises: decoding, from the bitstream, first motion information including differential motion vector information and predicted motion vector information for a first motion vector and second motion information not including at least a portion of predicted motion vector information and differential motion vector information for a second motion vector; and deriving the first motion vector based on the first motion information and deriving the second motion vector based on both at least a portion of the first motion information and the second motion information.

Abstract: The disclosed embodiment provides an apparatus and method for measuring eye movement, that can accurately measure eye movement by determining the eye position at high speed and high resolution even with a low-cost camera by using a phase mask and rolling shutter method instead of a lens, and can perform early diagnosis of neurological diseases, etc. based on the measured eye movement.

Abstract: A power supply system for an electric vehicle for autonomous driving may be capable of stabilizing power supply to power electric parts and indoor parts even when short circuit occurs in one or more nodes by variously configuring an architecture circuit for power supply to the PE parts and the indoor parts using one or more switching elements and a short-circuit detector associated with the one or more nodes.

Abstract: A method for training an artificial neural network for detecting a prostate cancer from a TURP pathological image, includes: acquires a plurality of acquiring pathological images for primary training, each being a prostate needle biopsy pathological image or a radical prostatectomy pathological image; using the pathological images to primarily train an artificial neural network for determining prostate cancer; acquiring TURP pathological images; and using the TURP pathological images to secondarily train the primarily trained artificial neural network, wherein each TURP pathological image includes a non-prostate tissue region and/or a cauterized prostate tissue region, and does not include any prostate cancer lesion region.