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 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: 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: 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: 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 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: 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 are non-contiguous sample fractionating and concatenating device and a dual online multidimensional liquid chromatography system having the same. The non-contiguous sample fractionating and concatenating device according to an embodiment of the present disclosure includes a sample supply module which supplies a sample to be analyzed, and a sample fractionation module connected to the sample supply module, and which is continuously supplied with the sample, sets a plurality of unit sample supply times obtained by equally dividing a total sample supply time during which the sample is supplied from the sample supply module, sets a plurality of unit fractionation intervals obtained by equally dividing each of the plurality of unit sample supply times, and concatenates and stores the sample supplied during corresponding unit fractionation intervals within each unit sample supply time to acquire a plurality of fractions.

Abstract: Disclosed is a sulfur-doped micro zero-valent metal reducing agent containing a zero-valent metal, wherein a metal sulfide layer synthesized using a ball milling process may be formed on a surface of the zero-valent metal. In addition, disclosed is a method for preparing a sulfur-doped micro zero-valent metal reducing agent including, in a ball milling process using a ball milling apparatus composed of a jar, balls, and a body, a first step of preparing an inorganic mixture by mixing a zero-valent metal and sulfur with each other, and a second step of forming a metal sulfide layer synthesized on a surface of the zero-valent metal by putting the inorganic mixture into the jar together with the balls and performing ball milling.

Abstract: Provided are an enzyme complex for decomposing polyethylene terephthalate (PET), a method for decomposing waste plastic using the enzyme complex, and a manufacturing method of the enzyme complex. According to the present disclosure, since the enzyme complex is a complex form of Ideonella sakaiensis-derived PETase and Candida Antarctica-derived lipase (CALB) by dockerin-cohesin binding and is simultaneously applicable to a substrate to be decomposed, it is possible to exhibit a synergistic effect on the decomposition of polyethylene terephthalate. In addition, it is possible to provide a stable enzyme complex of decomposing polyethylene terephthalate by providing a mini-scaffolding protein obtained by miniaturizing cellulosome as a scaffolding protein.

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: 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.

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: 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 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 is a prediction model generation method for predicting training time and resource consumption required for distributed deep learning training and a prediction method using the prediction model. The prediction model generation method is performed by a computing device including at least one processor and includes constructing a training dataset; and generating a prediction model by training a graph neural network (GNN). The training dataset includes input data and result data, the construction of the training dataset includes converting a distributed deep learning training code (distributed training (DT) code) to a graph; and extracting an adjacency matrix and a feature matrix from the graph.

Abstract: A device for evaluating characteristics of a target ground containing a metal component is proposed. The device includes a penetration probe having a main frame and a pair of side frames respectively installed at opposite side ends of the main frame, wherein each side frame has a lower end thereof extending downward from the main frame; a plurality of electrodes installed to be exposed to outside on the main frame; an electrode measurement part for measuring apparent chargeability of the target ground by applying power for measurement to the plurality of electrodes; and a main processor for calculating a weight ratio of a metal component of the target ground on the basis of the apparent chargeability measured by the electrode measurement part and calculating a volume ratio of the metal component of the target ground on the basis of the calculated weight ratio of the metal component.

Abstract: A semiconductor device and a method of manufacturing the same. The semiconductor device has a substrate in which recess regions are formed and semiconductor regions acting as a source region or a drain region is defined between the recess regions; a gate insulating layer disposed on an inner surface of each recess region; a recess gate disposed on the gate insulating layer in each recess region; an insulating capping layer disposed above the recess gate in each recess region; a metallic insertion layer disposed between a side surface of the recess gate and a side surface of the insulating capping layer and facing with a side surface of the source region or the drain region; and an intermediate insulating layer disposed between the metallic insertion layer and the recess gate to electrically insulate the metallic insertion layer from the recess gate.