Abstract: The present invention relates to an organic light emitting diode and an organic light emitting device including the organic light emitting diode. The organic light emitting diode includes a first electrode; a second electrode facing the first electrode; and a first blue emitting material layer including a first compound, a second compound and a third compound and positioned between the first and second electrodes, wherein the first compound is represented by Formula 1, the second compound is represented by Formula 3, and the third compound is represented by Formula 5, and wherein in the first blue emitting material layer, a summation of a weight % of the first compound, a weight % of the second compound and a weight % of the third compound is 100%, and the weight % of each of the first and second compounds is greater than the weight % of the third compound.

Abstract: One embodiment of the present invention provides a shape-deformable and elastic bioadhesive electronic device comprising a self-healing elastomeric polymer substrate, a stretchable thin-film electrode device, and a bioadhesive hydrogel layer. Another embodiment of the present invention provides a method for manufacturing a shape-deformable and elastic bioadhesive electronic device, comprising a transfer printing step of a thin-film electrode device onto a self-healing elastomeric polymer substrate; a substrate separation step of attaching an adhesive tape transferring the thin-film electrode device; an adhesive tape separation step of separating the adhesive tape from the self-healing elastomeric polymer; a pressurization and heat treatment step including heating the separated self-healing elastomeric polymer; and a bioadhesive hydrogel layer forming step of forming a bioadhesive hydrogel layer on a surface of the self-healing elastomeric polymer.

Abstract: A power management apparatus, includes an artificial intelligence (AI) controller configured to monitor a user pattern, based on frequency band selection information of all users using a base station, to predict the user pattern, and a DC-DC converter configured to output a supply voltage based on the predicted user pattern.

Abstract: An electronic device is disclosed. The electronic device includes: a first electrode disposed on a substrate and extending in a first direction; a second electrode disposed above the first electrode and extending in a second direction intersecting the first direction; and at least one switching particle disposed between the first electrode and the second electrode and bonded to the first electrode and the second electrode via van der Waals bond, wherein the switching particle controls flow of current between the first electrode and the second electrode, based on a difference of voltages of the first electrode and the second electrode applied thereto.

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. Coding decision information of a representative channel of a target block is shared as coding decision information of a target channel of the target block, and decoding of the target block is performed using the coding decision information of the target channel. Since the coding decision information of the representative channel is shared with an additional channel, repeated signaling of identical coding decision information may be prevented. By means of this prevention, the efficiency of encoding and decoding of the target block or the like may be improved.

Abstract: The present invention relates to a self-assembled nanoparticle releasing microneedle structure which is formed of biocompatible amphiphilic block copolymers containing a drug, and a preparation method therefor. The microneedle structure according to the present invention can deliver a water-soluble or hydrophobic drug while being carried in a microneedle. In particular, since a fat-soluble drug is delivered while being carried by micelle-type self-assembled nanoparticles which are formed as the structure is dissolved, it is possible to greatly increase the solubility in an aqueous solution. As such, existing drugs with poor absorption can be delivered through the skin of a body.

Abstract: A method of encoding a video according to an embodiment of the present invention comprises the steps of: calculating horizontal and vertical displacements of an image block on the basis of a unit horizontal interval and a unit vertical interval; encoding a motion vector corresponding to the image block using the horizontal and vertical displacements; and encoding the unit horizontal interval and the unit vertical interval.

Abstract: A device for reprogramming an electronic control unit (ECU) is configured to store controller area network (CAN) frames in a temporary storage medium, transmit the CAN frames to a main storage medium when the temporary storage medium receives a certain capacity, and minimize the time required for reprogramming. The device for reprogramming the ECU may be linked to an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to 5G service.

Abstract: A method and an apparatus are disclosed for video coding using improved cross-component linear model (CCLM) prediction. The video coding method and the apparatus generate a first predictor of a current chroma block according to CCLM prediction, and additionally generate a second predictor of the current chroma block based on the neighboring pixels of the current chroma block in intra prediction of the current chroma block. The video coding method and the apparatus perform weighted combination on the first predictor and the second predictor.

Abstract: Disclosed herein is an apparatus for measuring physical properties of hairpin coils, which includes a current sensor configured to apply a current for each frequency to a material of a hairpin coil to measure an induced current applied to the material, and a measurement processor configured to measure physical properties of the material by measuring an impedance of the material with the induced current measured by the current sensor and applying the impedance to a model established in the material.

Abstract: A junction structure element, a method of manufacturing the same, and an in-memory computing device including the same are disclosed. The junction structure element may include: a first polarization layer containing a material having a ferroelectric characteristic of being polarized only horizontally; a second polarization layer disposed on the first polarization layer and containing a material having a ferroelectric characteristic of being polarized only vertically; a source electrode and a drain electrode each in contact with the first polarization layer and spaced apart from each other; and a gate electrode disposed on the second polarization layer.

Abstract: A substrate treating apparatus and a substrate treating method are provided. The substrate treating apparatus includes a first process chamber to apply an organic solvent to a substrate applied with a developer and introduced, and a second process chamber to treat the substrate applied with the organic solvent and introduced, through a supercritical fluid.

Abstract: There is provided a method for an I/O (input/output) scheduling method, the method comprises: assigning a system call identifier to each of a plurality of I/O requests derived from at least one system call requested by at least one application; sorting the plurality of I/O requests in order of the system call identifier; and transferring the sorted plurality of I/O requests to a computer-readable storage medium. Accordingly, in a mobile or desktop environment in which an application that frequently interacts with the user is executed, it is possible to minimize the read delay time increased due to file fragmentation, and moreover, it is possible to improve the user experience (UX).

Abstract: An encryption method, includes performing, by an encryption system, bit reversal permutation of pixel data of a 2D image, arranging the pixel data as first-pixel data, and applying the 2D image to a butterfly algorithm of fast Fourier transform; determining, by the encryption system, a plurality of data paths based on the first-pixel data; and performing, by the encryption system, a first encryption of the first-pixel data into second-pixel data on a specific data path based on a number of the specific data path among the plurality of data paths.

Abstract: Provided is random access method, performed by terminal for uplink data transmission during random access process between cellular based machine communication terminal and base station. The method includes performing random access process between cellular based machine communication terminal and base station, and the random access process includes selecting random access resource by considering coverage level and whether to support multi-tone transmission or not.

Abstract: A scan flip-flop configured to generate physically unclonable function (PUF) data according to the present disclosure includes a multiplexer configured to provide an internal signal through an input switch, a first latch circuit configured to latch the internal signal, wherein the first latch circuit comprises a first inverter, a second inverter, a first switch connected in parallel with the first inverter, and a second switch connected in series with the second inverter. Additionally, a second latch circuit configured to latch an output of the first latch circuit and output a latched value, wherein the second latch circuit comprises a third inverter, a fourth inverter, an output inverter connected in series with the third inverter, and a fourth switch connected in series with the fourth inverter. A third switch is configured to switch between the first latch circuit and the second latch circuit.

Abstract: Provided are an artificial intelligence ultrasound-medical-diagnosis apparatus and a remote medical-diagnosis method using the same. The apparatus can automatically diagnose diseases based on ultrasound medical examinations and ultrasound image processing. The ultrasound-medical-diagnosis apparatus includes a semantic segmentation artificial intelligence network configured to perform labeling on visualized organs of a patient using mutually different colors to detect a position of an organ of interest displayed on the ultrasound image.

Abstract: A driving belt inspection device and method for a wafer transfer module is disclosed. The driving belt inspection device for a wafer transfer module includes: a data receiving unit for receiving current data of a motor connected to a driving belt; a calculation unit for calculating the rate of change of instantaneous current of the motor according to the received current data and acquiring a calculated value for inspection according to the calculated rate of change of instantaneous current of the motor; and a result determination unit for determining, if the calculated value is lower than a first reference value, that the driving belt is in a normal operation state, and determining, if the calculated value is higher than a second reference value, that the driving belt is in an abnormal operation state.

Abstract: One embodiment of the present invention provides a method of manufacturing an electronic device using a cyclic doping process including i) an operation of forming a unit transfer thin film including a two-dimensional material on a transfer substrate, ii) an operation of doping the unit transfer thin film in a low-damage doping process, iii) an operation of transferring the unit transfer thin film doped according to the operation ii) on a transfer target substrate, and iv) an operation of repeatedly performing the operations i) to iii) several times to reach a target thickness.

Abstract: A method of learning a neural network-based image compression model according to the disclosed embodiment, may include receiving a learning target image as an input; encoding the input image through the neural network-based image compression model configured to include a weight parameter, and decoding the encoded image through the neural network-based image compression model; calculating an entropy estimation value for a network model weight of the neural network-based image compression model; calculating a reconstruction performance value by comparing qualities of the learning target image and the decoded image; and learning the neural network-based image compression model by updating the weight parameter of the neural network-based image compression model based on the entropy estimation value for the network model weight and the reconstruction performance value. Accordingly, it is possible to minimize the size of the weight of the neural network-based image compression model.