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: Disclosed is a profiling-based distributed deep learning job ordering method and apparatus. The ordering method refers to a distributed deep learning job ordering method performed by a computing device including at least a processor and includes profiling each of a plurality of distributed deep learning jobs; and selecting distributed deep learning jobs to concurrently run based on profiling results.

Abstract: A photobioreactor fabrication system is disclosed. According to a first embodiment, the photobioreactor fabrication system includes a first unwinder 10 continuously unwinding a first transparent film 1, a second unwinder 20 arranged parallel to the first unwinder 10 and continuously unwinding a second transparent film 2 such that the second film 2 faces the first film 1, a heat sealer 30 pressurizing and heat sealing the first 1 and second films 2 to a baffle 3 arranged between the first 1 and second films 2 facing each other, and a rewinder 40 simultaneously and continuously winding the first 1 and second films 2 having passed through the heat sealer 30.

Abstract: Disclosed is a network hypervisor apparatus for providing a software defined networking (SDN)-based virtual network, the network hypervisor apparatus including a data collector configured to collect control traffic data and network topology information for each virtual switch; a control traffic predictor configured to predict future control traffic based on the control traffic data and the network topology information; and a translator configured to translate a control message corresponding to a virtual switch based on a prediction result.

Abstract: The method for solving an N-queen problem includes: an initialization step of generating a quantum substitution matrix state which is a superposition of qubit states satisfying a row condition and a column condition of the N-queen problem; an Oracle step of performing an operation of inverting a phase of at least one entire correct answer state that satisfies a diagonal condition of the N-queen problem in the quantum substitution matrix state; an amplification step of amplifying an amplitude of at least one entire correct answer state of which the phase is inverted; amplifying the amplitude of at least one entire correct answer state to correspond to a predetermined value by performing the Oracle step and the amplification step repeatedly at a predetermined number of times; and acquiring one first correct answer state among at least one entire correct answer state based on observation of a qubit state.

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 extrinsic calibration method of multiple 3D LiDAR sensors for an autonomous navigation system is proposed, the method including collecting point clouds by each of the multiple 3D LiDAR sensors; extracting multiple target planes corresponding to a plane from the point clouds of each of the 3D LiDAR sensors; by using the target plane of any one of the multiple 3D LiDAR sensors as a reference plane, detecting a corresponding plane from the target planes of each of the remaining of the 3D LiDAR sensors on the basis of a similarity with the reference plane; calculating initial extrinsic parameters for matching between the reference plane and the corresponding plane based on plane parameters of the reference plane and corresponding plane corresponding to each other; and calculating final extrinsic parameters that minimize variance of measurement points for the reference plane and corresponding plane, on the basis of the initial extrinsic parameters.

Abstract: The present invention relates to a composition for inducing dedifferentiation form somatic cells to induced pluripotent stem cells (iPSs) and method of inducing dedifferentiation using same, wherein the composition for inducing dedifferentiation and the method of inducing dedifferentiation increases the efficiency of dedifferentiation from somatic cells to iPSs by stimulating CXC chemokine receptor 2 (CXCR2), which is a receptor on human somatic cells, and thus may be effectively used for inducing the dedifferentiation to iPSs.

Abstract: An apparatus for controlling object tracking and a method therefor are provided. The apparatus includes an object detector configured to detect an object in an image, an object tracker configured to track the object, a learning device configured to learn whether to enable the object detector based on features of the object and tracking results of the object tracker, and a controller configured to determine whether to enable the object detector by interworking with the learning device.

Abstract: The present invention relates to a metabolome sampling and analysis method for analyzing metabolome during synthetic gas fermentation of a synthetic gas fermentation microorganisms, the method establishing an optimal condition for metabolome sampling and enabling a glucose culture and a synthetic gas culture of the synthetic gas fermentation microorganisms to be distinguished by using a selected metabolomic biomarker.

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: The present disclosure relates to a cancer cell-specific complex for targeting cancer. The complex for targeting cancer according to the present disclosure includes EGF, but is affected more by lysosomal activity rather than the EGFR signaling pathway, and thus can overcome the shortcomings of the existing EGF therapy-based diagnostic and therapeutic compositions and provide successfully personalized and improved effects of treating, preventing and alleviating cancer. A diagnostic composition according to the present disclosure enables the prediction of the anticancer performance of a therapeutic composition of the present disclosure in a subject, and thus enables anticancer treatment to be designed stably.

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: Disclosed are a low-light image improvement apparatus and method. The low-light image improvement apparatus includes: an image component decomposition network module that analyzes a light image, a low-light image, and a mid-light image to decompose reflectance and illumination, respectively, wherein the mid-light image is generated using the light image and the low-light image; and a component improvement network module configured to include a mid-teacher network model that extracts a first feature map with improved reflectance and illumination of the mid-light image using the reflectance and illumination of the light image and a student network module that distills the extracted first feature map and then extracts a second feature map for the reflectance and illumination of the low-light image based on the distilled first feature map and acquires an image with improved light by reflecting a structural component of a multi-band near-infrared image in the second feature map.

Abstract: Disclosed herein is a method of generating a similarity determination model of programming codes based on a cross-validation ensemble and filtering strategy. The method of generating the similarity determination model is performed by a computing device including at least a processor, the method includes: performing preprocessing on raw data written in any one language; performing filtering on the preprocessed data; generating positive pairs and negative pairs for training; and training a pre-trained language model using the generated positive pairs and negative pairs.

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 method and apparatus with object detector training is provided. The method includes obtaining first input data and second input data from a target object; obtaining second additional input data by performing data augmentation on the second input data; extracting a first feature to a shared embedding space by inputting the first input data to a first encoder; extracting a second feature to the shared embedding space by inputting the second input data to a second encoder; extracting a second additional feature to the shared embedding space by inputting thesecond additional input data to the second encoder; identifying a first loss function based on the first feature, the second feature, and the second additional feature; identifying a second loss function based on the second feature and the second additional feature; and updating a weight of the second encoder based on the first loss function and the second loss function.

Abstract: Disclosed are a nanobarcode for controlling adhesion and polarization of macrophages and a method of controlling adhesion and polarization of macrophages by using nanobarcodes. The method of controlling adhesion and polarization of macrophages of the present invention may efficiently control adhesion and phenotypic polarization of macrophages in vivo or in vitro by tuning periodicity and sequences of ligand peptide (RGD) of a nanobarcode.