Abstract: A fine-tuning method of a true time delay system includes: a first reference unit for transmitting an applied RF signal without time delay; a first delay unit for transmitting the applied RF signal to be delayed as much as a first delay time; an input unit for transmitting the applied RF signal to the first reference unit or the first delay unit; a second reference unit for transmitting the RF signal transmitted from the first reference unit or the first delay unit without time delay; a second delay unit for transmitting the RF signal; a 12th switching unit for transmitting the RF signal transmitted from the first reference unit or the first delay unit to the second reference unit or the second delay unit; and an output unit for outputting the RF signal.

Abstract: A method for automatically arranging and matching a graph onto a figure, and a computer-readable medium, according to one embodiment of the present invention, include the steps of: (a) receiving data to be used for graph generation; (b) generating a graph including first meta information; (c) generating an arrangement layout including second meta information and including at least one arrangement region in which the generated graph may be arranged; and (d) optimally arranging the generated graph in the at least one arrangement region by using the first meta information and the second meta information.

Abstract: A feedback-based intervention system includes a data collector configured to collect profile data and life log data of a user, a user data quantification unit configured to extract at least one quantification factor through an evaluation process of the user based on the collected profile data, and to quantify behavior data of the collected life log data, which corresponds to the extracted quantification factor, an intervention information controller configured to determine a health status of the user based on the quantified behavior data, and to generate at least one piece of intervention information based on a determination result of the health status, and a communication unit configured to provide the generated intervention information to the user, wherein the intervention information controller receives feedback information of the user, corresponding to the provided intervention information, and adjusts a provision schedule of the intervention information based on the received feedback information.

Abstract: A method of converting a clinical practice guideline into a computer-interpretable model includes assigning at least one tag of a recommendation tag and a non-recommendation tag to each of a plurality of sentences extracted by analyzing the clinical practice guideline, filtering out a sentence to which the non-recommendation tag is assigned among the plurality of sentences and extracting a sentence to which the recommendation tag is assigned, identifying whether a phrase of a first element and a phrase of a second element exist in the sentence to which the recommendation tag is assigned based on a knowledge database and mapping and storing the phrase of the first element and the phrase of the second element, and generating a final model by converting the phrase of the first element and the phrase of the second element into a format corresponding to a specific model.

Abstract: Antibodies that bind parvovirus are disclosed. The antibodies can be used in methods for preventing or treating parvovirus infection.

Abstract: A medical decision supporting apparatus according to an embodiment may include a visual and linguistic neural learner, which receives a medical image and extracts visual embedding, a cause miner, which extracts a predetermined index based on the visual embedding and pretrained embedding, and outputs a predetermined cause for the medical image based on a hash map including at least one index-concept pair and the extracted predetermined index, a logical reasoner, which generates a medical report based on the visual embedding, a background knowledge graph, and the predetermined cause, and a proof inference unit, which generates an answer including a proof for a user's question about the medical image based on the predetermined cause and the medical report.

Abstract: A distance measuring apparatus includes: a DTC generator unit that generates DTC signals having edges delayed to define time segments; a template generator unit that generates template signals consecutively in a pre-designated number within the time segments in response to the DTC signals; a coarse time determiner unit that determines the time segment in which a delayed signal is received by calculating correlations with the consecutively generated template signals; a fine time measurer unit that determines the time at which the delayed signal is received within the time segment determined at the coarse time determiner unit from the results of calculating correlations between multiple template signals within the determined time segment and the delayed signal; and a distance calculator unit that calculates the total delay duration of the delayed signal and calculates the distance to the measurement target object from the calculated delay duration.

Abstract: A method for automatically arranging and matching a graph onto a figure, and a computer-readable medium, according to one embodiment of the present invention, include the steps of: (a) receiving data to be used for graph generation; (b) generating a graph including first meta information; (c) generating an arrangement layout including second meta information and including at least one arrangement region in which the generated graph may be arranged; and (d) optimally arranging the generated graph in the at least one arrangement region by using the first meta information and the second meta information.

Abstract: The present disclosure provides a split heater apparatus and a method of manufacturing the same, the split heater apparatus being capable of dividing a heating region into zones, heating the zones individually, and having components capable of being simply assembled, such that the number of components and the number of assembly processes are reduced.

Abstract: The disclosure relates to an image segmentation method and apparatus, and a computer program thereof. The image segmentation apparatus according to the disclosure may include an encoding module configured to obtain a plurality of feature maps having different resolutions with respect to an input image, using an artificial neural network including one or more residual blocks, and a decoding module configured to generate one prediction map from pairs of adjacent feature maps among the plurality of feature maps in bracket-shaped manner, wherein the decoding module performs one or more decoding rounds, each decoding round includes one or more ATF modules that generate a combined feature map using a high-resolution feature map having a higher resolution among an adjacent feature map pair constituting the feature map generated in the previous round and a low-resolution feature map having a lower resolution thereof, and the decoding round is repeatedly performed until the one prediction map is generated.

Abstract: The present invention relates to a method for mapping heterogeneous medical data, the method comprising the steps of: generating domain clinic model ontology that defines a concept of arbitrary medical data collected from individual clinics and a relationship between the medical data; if SNOMED CT ontology that defines the concept and relationship of the domain clinic model ontology and standardized medical terms is loaded and the concept included in the domain clinic model ontology and/or the SNOMED CT ontology has a degree of similarity equal to or greater than a preset threshold value, determining that the concept has been mapped and generating a DCM-SNOMED mapping file for the mapping information; if vMR ontology describing the concept and relationship of data models defined by the SNOMED CT ontology and Health Level 7 standard is loaded and the concept included in the SNOMED CT ontology and/or the vMR ontology has a degree of similarity equal to or greater than a preset threshold value, determining that

Abstract: The disclosure relates to an image segmentation method and apparatus, and a computer program thereof. The image segmentation apparatus according to the disclosure may include an encoding module configured to obtain a plurality of feature maps having different resolutions with respect to an input image, using an artificial neural network including one or more residual blocks, and a decoding module configured to generate one prediction map from pairs of adjacent feature maps among the plurality of feature maps in bracket-shaped manner, wherein the decoding module performs one or more decoding rounds, each decoding round includes one or more ATF modules that generate a combined feature map using a high-resolution feature map having a higher resolution among an adjacent feature map pair constituting the feature map generated in the previous round and a low-resolution feature map having a lower resolution thereof, and the decoding round is repeatedly performed until the one prediction map is generated.

Abstract: The disclosure relates to an image segmentation method and apparatus, and a computer program thereof. The image segmentation apparatus according to the disclosure may include an encoding module configured to obtain a plurality of feature maps having different resolutions with respect to an input image, using an artificial neural network including one or more residual blocks, and a decoding module configured to generate one prediction map from pairs of adjacent feature maps among the plurality of feature maps in bracket-shaped manner, wherein the decoding module performs one or more decoding rounds, each decoding round includes one or more ATF modules that generate a combined feature map using a high-resolution feature map having a higher resolution among an adjacent feature map pair constituting the feature map generated in the previous round and a low-resolution feature map having a lower resolution thereof, and the decoding round is repeatedly performed until the one prediction map is generated.

Abstract: A seatback frame for a vehicle is capable of preventing a passenger seated on a seat from being injured by a sharp edge of a side frame in the event of a collision of the vehicle. The seatback frame includes side frames installed to extend longitudinally in a vertical direction at opposite sides of the seatback frame, respectively, an upper frame joined to the side frames, and a lower frame joined to the side frames. Protrusions are formed at a surface of the upper frame while being spaced apart, by a predetermined distance, from edges present at edge portions of the side frames, respectively, to prevent the passenger from being injured by the edges.

Abstract: A distance measuring apparatus includes: a DTC generator unit that generates DTC signals having edges delayed to define time segments; a template generator unit that generates template signals consecutively in a pre-designated number within the time segments in response to the DTC signals; a coarse time determiner unit that determines the time segment in which a delayed signal is received by calculating correlations with the consecutively generated template signals; a fine time measurer unit that determines the time at which the delayed signal is received within the time segment determined at the coarse time determiner unit from the results of calculating correlations between multiple template signals within the determined time segment and the delayed signal; and a distance calculator unit that calculates the total delay duration of the delayed signal and calculates the distance to the measurement target object from the calculated delay duration.

Abstract: The present disclosure relates to a cloud-based sensory data management technology. An apparatus for managing sensory data according to one embodiment may include a data collector for receiving user input data and collecting data sensed by a sensory device corresponding to the user input data among one or more sensory devices, a data synchronizer for synchronizing the collected data based on a time frame, and a data persistence part for mapping the synchronized data to a pre-stored data model.

Abstract: A method of converting a clinical practice guideline into a computer-interpretable model includes assigning at least one tag of a recommendation tag and a non-recommendation tag to each of a plurality of sentences extracted by analyzing the clinical practice guideline, filtering out a sentence to which the non-recommendation tag is assigned among the plurality of sentences and extracting a sentence to which the recommendation tag is assigned, identifying whether a phrase of a first element and a phrase of a second element exist in the sentence to which the recommendation tag is assigned based on a knowledge database and mapping and storing the phrase of the first element and the phrase of the second element, and generating a final model by converting the phrase of the first element and the phrase of the second element into a format corresponding to a specific model.

Abstract: A seatback frame for a vehicle is capable of preventing a passenger seated on a seat from being injured by a sharp edge of a side frame in the event of a collision of the vehicle. The seatback frame includes side frames installed to extend longitudinally in a vertical direction at opposite sides of the seatback frame, respectively, an upper frame joined to the side frames, and a lower frame joined to the side frames. Protrusions are formed at a surface of the upper frame while being spaced apart, by a predetermined distance, from edges present at edge portions of the side frames, respectively, to prevent the passenger from being injured by the edges.

Abstract: The disclosure relates to an image segmentation method and apparatus, and a computer program thereof. The image segmentation apparatus according to the disclosure may include an encoding module configured to obtain a plurality of feature maps having different resolutions with respect to an input image, using an artificial neural network including one or more residual blocks, and a decoding module configured to generate one prediction map from pairs of adjacent feature maps among the plurality of feature maps in bracket-shaped manner, wherein the decoding module performs one or more decoding rounds, each decoding round includes one or more ATF modules that generate a combined feature map using a high-resolution feature map having a higher resolution among an adjacent feature map pair constituting the feature map generated in the previous round and a low-resolution feature map having a lower resolution thereof, and the decoding round is repeatedly performed until the one prediction map is generated.

Abstract: The present disclosure relates to a cloud-based sensory data management technology. An apparatus for managing sensory data according to one embodiment may include a data collector for receiving user input data and collecting data sensed by a sensory device corresponding to the user input data among one or more sensory devices, a data synchronizer for synchronizing the collected data based on a time frame, and a data persistence part for mapping the synchronized data to a pre-stored data model.