Abstract: Disclosed is a method and apparatus for detecting anomalies in a system log on the basis of self-supervised learning, using a language model. The method comprises performing preprocessing on the system log, generating a normal token sequence having a preset length by concatenating tokenized log lines of the system log, generating an abnormal token sequence using the normal token sequence, calculating an anomaly score for a determination target token sequence using a sentence classification model, and determining the token sequence as an abnormal system log when the calculated anomaly score is greater than a threshold value.

Abstract: A fuel cell vehicle includes a cell stack, a DC level converter, an output unit, a first switching unit disposed between a positive output terminal of the DC level converter and a positive input terminal of the output unit, a second switching unit disposed between a negative output terminal of the DC level converter and a negative input terminal of the output unit, a resistor and a third switching unit connected to each other in series between the positive output terminal of the DC level converter and the negative output terminal of the DC level converter, a fourth switching unit disposed between a contact point between the resistor and the third switching unit and the positive input terminal of the output unit, and a controller for controlling switching operation of the first, second, third and fourth switching units according to an operation mode.

Abstract: An electronic device includes analog-to-digital converters each configured to receive an analog input signal and output a digital output signal corresponding to the analog input signal, an analog input signal generator configured to generate analog input signals provided to each analog-to-digital converter based on input voltages and weight data, an input signal distribution information generator configured to generate input signal distribution information indicating a distribution of the analog input signals for each of the analog-to-digital converters, an analog-to-digital converter group classifier configured to classify the analog-to-digital converters into a plurality of first analog-to-digital converter groups based on the input signal distribution information, and an analog-to-digital converter input range optimizer configured to determine an input range of each first analog-to-digital converter group based on the input signal distribution information, and each analog-to-digital converter is configured

Abstract: The present invention relates to a novel isoquinoline derivative, a preparing method thereof, and a pharmaceutical composition for preventing or treating autophagy related diseases containing the same as an active ingredient. The novel isoquinoline furanone derivative according to the present invention is capable of regulating autophagy activity, and thus, by using this derivative as an active ingredient, there is a useful effect that can be used as a pharmaceutical composition for preventing or treating autophagy-related diseases such as neurodegenerative diseases, cancer, metabolic diseases, inflammatory diseases or melanogenesis-related diseases, a health functional food composition for ameliorating thereof, or a cosmetic composition with a whitening function.

Abstract: Proposed is an inspection device for a cooling plate capable of accurately inspecting cooling plates to reduce cooling plate defect rate. The device includes an inspection table including a base on which a cooling plate is seated, a support block located on each side of the cooling plate, a guide block, and a plurality of height blocks supporting a lower surface of a base plate, a clamp provided on the base and pressing an upper surface of the base plate, a plurality of gauge jigs and a plurality of gauge grooves, a first measurement unit measuring a distance at which the end of an extension plate is spaced from a bending plate, and a second measurement unit measuring a distance at which the end of the bending plate is spaced apart from the end of the base plate in the width direction, and measuring the flatness of the base plate.

Abstract: A method for manufacturing a pipe type busbar includes: preparing a first tubular member made of a first material having a hollow formed therein; preparing a second tubular member having a hollow formed therein and made of a second material different from the first material; plating the first tubular member with a third material; and bonding one surface of the first tubular member and one surface of the second tubular member.

Abstract: Disclosed herein is a method for generating a blockchain, which includes selecting, by a first master node that generated a first block, second candidate nodes from a node pool according to a consensus node selection scheme using a nonce, and selecting, by the first master node, a second master node using the result of a vote taken by first candidate nodes. Here, among candidate blocks generated by the second candidate nodes, the candidate block generated by the second master node is locked as a second block.

Abstract: The present disclosure provides the compound having inhibitory property against TNIK having a specific chemical structure or its pharmaceutically acceptable salt. The present disclosure also provides a composition comprising the compound or its pharmaceutically acceptable salt. The present disclosure also provides a medical use of the compound, its salt or the composition comprising the compound or its pharmaceutically acceptable salt for treating or preventing cancer. The present disclosure also provides a method of treatment or prevention of cancer comprising administering the compound, its salt or the composition comprising the compound or its salt to a subject in need of such treatment or prevention.

Abstract: A camera motion estimation method for an augmented reality tracking algorithm according to an embodiment is a camera motion estimation method for an augmented reality tracking algorithm performed by a sequence production application executed by a processor of a computing device, which includes a step of displaying a target object on a sequence production interface, a step of setting a virtual camera trajectory on the displayed target object, a step of generating an image sequence by rendering images obtained when the target object is viewed along the set virtual camera trajectory, and a step of reproducing the generated image sequence.

Abstract: According to an embodiment, there are provided a method for manufacturing a battery module for an electric vehicle and a battery module manufactured by the method. The method comprises preparing an electrode assembly, the electrode assembly including a plurality of electrode plates, a plurality of electrode tabs, and a separator, forming a plurality of electrode leads by friction-welding a copper piece and an aluminum piece, attaching a sealing film to each of the plurality of electrode leads, packing the electrode assembly in a pouch case, with the aluminum piece exposed to an outside of the pouch case, injecting an electrolyte into the pouch case, sealing the pouch case to form each of the plurality of battery cells, stacking the plurality of battery cells one over another, and connecting the aluminum pieces of the plurality of battery cells to each other via a sensing bus bar.

Abstract: A method of creating and storing a map target according to one embodiment of the present disclosure, which creates and stores the map target through a map target application executed by at least one processor of a mobile terminal, includes: creating a 3D map based on an image obtained by photographing a 3D space; determining an authoring space in which a virtual object authoring work is to be performed based on the created 3D map; setting reference coordinates based on a target object in the determined authoring space; providing a virtual object authoring interface for performing the virtual object authoring work based on the set reference coordinates; and mapping a virtual object authored through the provided virtual object authoring interface to the target object and storing the virtual object mapped to the target object.

Abstract: A method of tracking a map target according to one embodiment of the present disclosure, which tracks the map target through a map target tracking application executed by at least one processor of a terminal, includes: acquiring a basic image obtained by photographing a 3D space; acquiring a plurality of sub-images obtained by dividing the acquired basic image for respective sub-spaces in the 3D space; creating a plurality of sub-maps based on the plurality of acquired sub-images; determining at least one main key frame for each of the plurality of created sub-maps; creating a 3D main map by combining the plurality of sub-maps for which the at least one main key frame is determined; and tracking current posture information in the 3D space based on the created 3D main map.

Abstract: A method of tracking a CAD model in real time based on a particle filter according to one embodiment of the present disclosure is a method of detecting and tracking a real object based on target object recognition data for a digital model designed on CAD executed by a CAD object tracking detection program installed in a user computing device. The method includes: acquiring an image captured by photographing a surrounding object; detecting a real object corresponding to a shape of a target object designed in CAD from a first frame image of the captured image; and tracking the detected real object in a second frame image of the captured image, wherein the tracking of the detected real object includes determining a new pose of the real object in the second frame image based on the particle filter with respect to an initial pose of the detected real object.

Abstract: A method of providing a user interface for map target creation according to one embodiment of the present disclosure, in which a map target application executed by at least one processor of a terminal provides the user interface for map target creation, includes: acquiring an image captured by photographing a 3D space; extracting a key frame of the captured image; detecting feature points in the extracted key frame; generating a 3D map based on the detected feature points; generating object information including class information and object area information for at least one key object in the key frame; mapping the generated object information to the 3D map; displaying the object information mapped on the 3D map; and providing an object function setting interface based on the 3D map.

Abstract: The embodiments of the present disclosure relate to a memory controller and operating method thereof. According to embodiments of the present disclosure, the memory controller may include a memory configured to store an activation candidate list including one or more nodes each indicating a logical address range that satisfies a preset activation candidate condition, and a processor configured to determine a target node based on activation parameters of logical address ranges indicated by respective nodes included in the activation candidate list, determine, as activation logical address ranges, one or more logical address ranges from the activation candidate list based on the target node, and transmit information indicating the activation logical address range to a host.

Abstract: A method of learning a target object by detecting an edge from a digital model of the target object and setting a sample point according to one embodiment of the present disclosure, which is performed by a computer-aided design program of an authoring computing device, includes: displaying a digital model of a target object that is a target of image recognition; detecting edges on the digital model of the target object; classifying the detected edges according to a plurality of characteristics; obtaining sample point information on the detected edges; and generating object recognition library data for recognizing a real object implementing the digital model of the target object based on the detected edges, characteristic information of the detected edges, and the sample point information.

Abstract: Provided is a method for selecting key points for real-time tracking in a mobile environment, which is used by a key point application executed by at least one processor of a computing device to select key points for real-time tracking in a mobile environment. The method comprises obtaining a target object image capturing a target object; extracting a plurality of temporary key points from the obtained target object image; determining confirmed key points by filtering the plurality of extracted temporary key points according to a predetermined distribution criterion; setting the confirmed key points as final key points for the target object image; storing target object tracking information including the final key points set for the target object image; and providing the target object tracking information to an application executing a predetermined function through the target object tracking in a mobile environment.

Abstract: Provided is a method of learning a target object implemented on a computer-aided design program of an authoring computing device using a virtual viewpoint camera, including displaying a digital model of a target object that is a target for image recognition, setting at least one observation area surrounding the digital model of the target object and having a plurality of viewpoints on the digital model, generating a plurality of pieces of image data obtained by viewing the digital model of the target object at the plurality of viewpoints of the at least one observation area, and generating object recognition library data for recognizing a real object implementing the digital model of the target object based on the generated plurality of pieces of image data.

Abstract: A method of tracking a map target according to one embodiment of the present disclosure, which tracks the map target through a map target tracking application executed by at least one processor of a terminal, includes: acquiring a basic image obtained by photographing a 3D space; acquiring a plurality of sub-images obtained by dividing the acquired basic image for respective sub-spaces in the 3D space; creating a plurality of sub-maps based on the plurality of acquired sub-images; determining at least one main key frame for each of the plurality of created sub-maps; creating a 3D main map by combining the plurality of sub-maps for which the at least one main key frame is determined; and tracking current posture information in the 3D space based on the created 3D main map.