Abstract: According to an embodiment of the present disclosure, there is provided a method for controlling a mobile target robot for sensor calibration.

Abstract: Proposed is a connection tube support of a waste heat recovery boiler supporting a connection tube unit having a plurality of connection tubes that is disposed inside a waste heat recovery boiler and perform heat exchange between a fluid flowing inside and exhaust gas flowing outside, wherein the connection tube support includes a header storing fluid flowing through the connection tube unit and supporting one end of the connection tube unit by being connected to one end of the connection tube unit, and a tube sheet supporting a circumferential surface of each of the plurality of connection tubes, wherein the tube sheet has the plurality of connection tubes having been passed therethrough and is provided with a plurality of support holes respectively supporting circumferential surfaces of the plurality of connection tubes having been passed therethrough.

Abstract: A duty cycle correction circuit includes a duty correction circuit, an information generation circuit and a duty control circuit. The duty correction circuit corrects a duty rate of an input clock signal based on a duty control code to generate an output clock signal. The information generation circuit compares a difference between operation power voltages based on an operation mode to generate voltage information. The duty control circuit receives the voltage information from the information generation circuit and generates the duty control code that includes the voltage information based on a duty rate of the output clock signal.

Abstract: Disclosed herein is a once-through heat exchanger that includes a tube stack including a plurality of tubes, a plurality of heads connected to the tube stack via a connection module and configured to accommodate heated steam, the connector module comprising a plurality of tube connectors and configured to connect the tubes and the heads, and a manifold connected to the heads via a plurality of link pipes and configured to accommodate heated steam, wherein the connector module comprises a first tube connector and a second tube connector having different shapes.

Abstract: An apparatus of verifying a software integrity of a vehicle controller and a method thereof includes a communication device that provides a communication interface with a software management system, and a controller which is configured to obtain first verification data of the vehicle controller from the software management system, obtains second verification data from the vehicle controller, and verifies an integrity of software loaded in the vehicle controller based on the obtained first verification data and the obtained second verification data.

Abstract: Disclosed are wood preforming devices for manufacturing a crash pad for a vehicle including a real wood sheet. A wood preforming device for manufacturing a crash pad for a vehicle includes a real wood sheet includes a lower press mold comprising a debossed portion provided on a portion on which a product is formed, and a support portion configured to support an upper press mold, in response to the lower press mold and the upper press mold pressing each other, the support portion having a protrusion for fixing a real wood sheet, the upper press mold having an embossed portion corresponding to the debossed portion of the lower press mold, and a movable core provided on the debossed portion of the lower press mold and being configured to guide the real wood sheet by moving upward from the debossed portion, in response to the upper press mold moving downward.

Abstract: Disclosed are a display panel and a display device including the same according to an embodiment. A display panel according to the embodiment includes: a display area in which a plurality of first pixels are arranged at a first pixels per inch (PPI); and a sensing area in which a plurality of second pixels are arranged at a second PPI that is lower than the first PPI, wherein the first pixels of the display area and the second pixels of the sensing area are arranged adjacent to each other at a boundary between the display area and the sensing area, the second pixel includes red, green, and blue sub-pixels, and at least one of the red and green sub-pixels of the second pixel is arranged closest to the first pixel.

Abstract: A system selecting a process key factor in a commercial chemical process, includes: a data extraction unit that extracts tag data in units of a set period; an outlier discrimination unit that discriminates and aggregates outliers by tag by using an outlier extraction reference master; an outlier processing unit that generates an input mart draft excluding the outliers; a derived variable generation unit that generates derived variables for each tag, and generates an advanced input mart having the derived variable added thereto; a yield calculation unit that backs up the result of calculation of a yield by realizing a target value via exclusion and correction of the outliers; and a key factor extraction unit that extracts a yield key factor by calculating importance of each tag, and backs up importance data for each tag.

Abstract: A system for predicting process changes by using key factors in a commercial chemical process, includes: a key factor extraction and individual tag importance backup unit that extracts yield key factors by calculating the importance of each tag, and backs up importance data for each tag; and a yield prediction model training and yield prediction performing unit that performs yield prediction model training by using the importance of each tag accumulated in the key factor extraction and individual tag importance backup unit, and performs yield prediction so as to output a yield prediction result, evaluates performance, and selects an optimal prediction model.

Abstract: In embodiments of the present disclosure, disclosure is an immunogenicity prediction method comprising the steps of: acquiring information about synthetic long peptides for treating carcinoma in a subject through an immunogenicity prediction device; processing the synthetic long peptides by one processing method of embedding, one-hot encoding, and BLOSUM through the immunogenicity prediction device, and outputting one or more antigen feature values based on the processed data; inputting the cleavage probability vector for each position of the synthetic long peptides through the immunogenicity prediction device to output one or more cleavage feature values; inputting a neoantigen peptide sequence, an HLA class I sequence, an HLA class II sequence within the synthetic long peptides through the immunogenicity prediction device to output one or more neoantigen feature values related to the immunity and binding affinity to the neoantigen peptide sequence; and outputting an immunogenicity score of the neoantigen pe

Abstract: The present invention provides a device for measuring biological information including a sensor array, wherein the sensor array includes a plurality of sensors that are either sensors for amplifying photoreactivity or sensors forming an island network connected by a plurality of multi-channels and, in the device, the average value of biological information about the skin tissues is measured based on values output from the sensor array, and a method of measuring biological information using the device.

Abstract: Techniques and solutions are described for analyzing data collections to determine if they may be anomalous as compared with other data collections. For example, one or more values for data elements of a data collection may be unusually high or low, or may represent infrequently occurring values. Or, values of data elements in a data collection may not be anomalous when considered individually, but may be anomalous in combination. A machine learning model is trained with training data collections, where the training data collections include a plurality of data elements. An inference data collection, also having the data elements of the training data collections, is analyzed using the trained machine learning model to provide an anomaly score. The anomaly score can be based at least in part on feature anomaly scores, which indicate anomality of individual data elements of the inference data collection.

Abstract: Update elements allow logical data object instances, and change requests therefor, to be converted from a first schema to a second schema. For logical data object instances, a transformation function can add nodes to, or remove nodes from a hierarchy of the first schema, or rearrange them. Use of the transformation function can allow second schemas to be defined that change a node hierarchy, yet can be used with existing logical data object instances in the first schema. Changes to logical data object instances can be converted using a mapping or a transformation function, such as a transformation function useable to convert logical data object instances between the first and second schemas. The migration of change requests to the second schema can allow logical data object instances having previously scheduled change requests to be updated from the first schema to the second schema prior to execution of the change request.

Abstract: Update elements allow logical data object instances, and change requests therefor, to be converted from a first schema to a second schema. For logical data object instances, a transformation function can add nodes to, or remove nodes from a hierarchy of the first schema, or rearrange them. Use of the transformation function can allow second schemas to be defined that change a node hierarchy, yet can be used with existing logical data object instances in the first schema. Changes to logical data object instances can be converted using a mapping or a transformation function, such as a transformation function useable to convert logical data object instances between the first and second schemas. The migration of change requests to the second schema can allow logical data object instances having previously scheduled change requests to be updated from the first schema to the second schema prior to execution of the change request.