Abstract: A method of classifying an object according to an embodiment includes extracting a first feature by transforming rectangular coordinates of points included in the box of the object, obtained from a point cloud acquired using a LiDAR sensor, into complex coordinates and performing Fast Fourier Transform (FFT) on the complex coordinates, obtaining an average and a standard deviation as a second feature, the average and the standard deviation being parameters of a Gaussian model for the points included in the box of the object, and classifying the type of object based on at least one of the first feature or the second feature.

Abstract: Provided is a process of manufacturing light olefins, which is a fluidized bed catalytic naphtha cracking process having improved economic feasibility and decreased greenhouse gas emissions. The process of manufacturing light olefins according to the present invention has a decreased hot spot occurring when supplying an additional fuel oil and decreased tendency of catalyst deactivation by water, thereby improving economic feasibility of the process and reducing greenhouse gas emissions to allow construction of an environmentally friendly process.

Abstract: An apparatus for determining a thermal stability of a target material includes one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to acquire particle information of the target material, acquire molecular structure based on the particle information, acquire structural information from the molecular structure, and determine the thermal stability of the target material based on the structural information. A method of determining a thermal stability of a target material is also provided.

Abstract: According to the present disclosure, by forming normal pressure conditions in a reaction system through application of a reflux system to an aqueous phase in the presence of sulfuric acid and an inorganic salt in the dehydration reaction of biomass-derived sugar components in an open system, there is no need to include a high-pressure vessel required in a conventional 5-halomethylfurfural production process, there is no risk of safety accidents, including the explosion of a high-pressure vessel and the leakage of strong acid gas, and there is a remarkable effect in that yield is improved three-fold or more compared to the case of using a conventionally used acid catalyst under the normal pressure conditions.

Abstract: The present disclosure relates to a metal-organic framework modified using a compound having a hydroxyl group (—OH), a catalyst for a hydrogenation reaction including the same, and a method of manufacturing the same. The catalyst according to the present disclosure has high activity to the hydrogenation reaction even at a low temperature of 30 to 40° C., thus making low-grade waste heat usable.

Abstract: A multi-band shark fin antenna for a vehicle comprises: a base; a substrate coupled to an upper portion of the base and on which feed lines are formed; and a first antenna frame coupled on the substrate and to which a plurality of radiators are coupled, wherein the first antenna frame comprises: a first radiator coupling part to which a first radiator is coupled; and a first support extending from the first radiator coupling part and supporting the first radiator coupling part, wherein an antenna coil is coupled to an outer circumferential surface of the first support, and the antenna coil is electrically connected to the first radiator.

Abstract: A soft magnetic powder composition for an inductor core comprises 60 to 80 wt % Fe—Ni alloy powder, 5 to 25 wt % Fe—Si alloy powder, and 10 to 30 wt % Fe—Si—Al alloy powder based on a total alloy powder and a method of manufacturing the inductor uses the soft magnetic powder composition.

Abstract: An apparatus for processing natural language according to an embodiment includes a collection module that collects documents having tags, a parsing module that extracts text from the collected documents and extracts tag-related information on the tag surrounding each extracted text, and a preprocessing module that generates tokens of a preset unit by tokenizing each extracted text, generates token position information for each token in full text of the document, and sets the token and the token position information as training data in matching with the tag-related information.

Abstract: An automatic labeling method for assigning labels to unlabeled point clouds among a set of labeled and unlabeled point clouds includes preparing an initial machine learning classification model, selecting a labeled point cloud for each of the unlabeled point clouds based on similarities between a feature vector of each of the unlabeled point clouds output through the model and feature vectors of the labeled point clouds output through the model and assigning a cluster label to each of the unlabeled point clouds based on a label of the selected labeled point cloud, assigning pseudo labels to the unlabeled point clouds to which the cluster labels are assigned based on a confidence score obtained through the model, and updating the model by training the model with the labeled point clouds and the unlabeled point clouds to which the pseudo labels are assigned.

Abstract: A method for generating a summary performed by at least one computing device is provided. The method may include: acquiring a first sample pair, the first sample pair including an original text and a summary corresponding to the original text, extracting a common phrase that appears simultaneously in the original text and the summary of the first sample pair, selecting a first phrase among common phrases based on a prediction probability of a summary model for the common phrases, generating a second sample pair by modifying the first phrase in the original text and the summary of the first sample pair, and updating the summary model by performing a summary task using the second sample pair.

Abstract: An apparatus for training a document summarization model includes a token generation unit, a named entity recognition unit, and a model training unit. The token generation unit generates document tokens and summarization tokens. The named entity recognition unit assigns named entity token status to a summarization token, recognized as a named entity through NER, and assigns non-named entity token status to the other tokens. The model training unit obtains feature vectors by inputting the plurality of document tokens into an encoder inside a document summarization model, obtains a first loss related to the named entity token, a second loss related to the other tokens, and a total loss using a weighted value by inputting the feature vectors, the summarization tokens, the named entity token, and the non-named entity token into a decoder inside the document summarization model, and trains the document summarization model on the basis of the total loss.

Abstract: An apparatus for training a dialogue summary model according to an embodiment includes a parameter transferer configured to transfer one or more learning parameter values of a pre-trained natural language processing model to a sequence-to-sequence-based dialogue summary model, and a model trainer configured to train the dialogue summary model by using the transferred learning parameter values as initial values for learning parameters of each of an encoder and a decoder in the dialogue summary model.

Abstract: An embodiment device for detecting a boundary of a road in a 3D point cloud using a cascade classifier includes a rule-based classifier configured to determine whether a received LiDAR cluster has a likelihood of becoming a candidate for the boundary of the road using a box parameter surrounding a point cloud constituting the LiDAR cluster and a point parameter, and a learning-based classifier configured to apply a machine-learning scheme to the LiDAR cluster selected as the candidate for the boundary of the road by the rule-based classifier to determine the LiDAR cluster to be the boundary of the road or an object other than the boundary of the road.

Abstract: A display device includes a substrate including an active area, a hole area disposed within the active area and having a through hole disposed therein, and a disconnection area surrounding the hole area; and a plurality of disconnection structures disposed on the substrate in the disconnection area, wherein each of the plurality of disconnection structures includes, a lower layer, an intermediate layer disposed on the lower layer and having a width smaller than that of the lower layer, and an upper layer disposed on the intermediate layer and having a width greater than that of the intermediate layer, thereby penetration of moisture or oxygen from the through hole into the active area is minimized.

Abstract: The present disclosure relates to a method for recovering styrene monomers from waste polystyrene, and more specifically, to a method for recovering styrene monomers from waste polystyrene, in which the waste polystyrene is depolymerized using an eco-friendly solvent and a potassium-containing carbonate depolymerization catalyst to suppress the generation of ethylbenzene, etc. generated as by-products in a styrene monomer recovery step, and thus the styrene monomers can be recovered in high yield.

Abstract: The present invention relates to an apparatus and a method of predicting a low-voltage failure of a secondary battery.

Abstract: Provided are a method for generating a summary and a system therefor. The method according to some embodiments may include calculating a likelihood loss for a summary model using a first text sample and a first summary sentence corresponding to the first text sample, calculating an unlikelihood loss for the summary model using a second text sample and the first summary sentence, the second text sample being a negative sample generated from the first text sample, and updating the summary model based on the likelihood loss and the unlikelihood loss.

Abstract: Disclosed herein is a method of printing a nanostructure including: preparing a template substrate on which a pattern is formed; forming a replica pattern having an inverse phase of the pattern by coating a polymer thin film on an upper portion of the template substrate, adhering a thermal release tape to an upper portion of the polymer thin film, and separating the polymer thin film from the template substrate; forming a nanostructure by depositing a functional material on the replica pattern; and printing the nanostructure deposited on the replica pattern to a substrate by positioning the nanostructure on the substrate, applying heat and pressure to the nanostructure, and weakening an adhesive force between the thermal release tape and the replica pattern by the heat.

Abstract: Disclosed herein is a method of depositing a transition metal single-atom catalyst including preparing a carbon carrier, and depositing a transition metal single-atom catalyst on the carbon carrier, in which the carbon carrier is surface-treated by an oxidation process, and wherein the deposition is carried out by an arc plasma process.

Abstract: An apparatus for embedding a sentence feature vector according to an embodiment includes a sentence acquisitor configured to acquire a first sentence and a second sentence, each including one or more words; a vector extractor configured to extract a first feature vector corresponding to the first sentence and a second feature vector corresponding to the second sentence by independently inputting each of the first sentence and the second sentence into a feature extraction network; and a vector compressor configured to compress the first feature vector and the second feature vector into a first compressed vector and a second compressed vector, respectively, by independently inputting each of the first feature vector and the second feature vector into a convolutional neural network (CNN)-based vector compression network.