Abstract: The electronic parking brake system according to an exemplary embodiment of the present disclosure includes a first ECU (electronic control unit) and a second ECU respectively connected to a plurality of motors for providing a driving force to a wheel to control the plurality of motors, wherein the second ECU includes a power reserve system for storing power supplied from a battery; a switch for switching to connect the plurality of motors to the first ECU or the second ECU based on the operating state of the first ECU; and a second MCU for identifying an operating state of the first ECU, controlling the switch to connect the plurality of motors from the first ECU to the second ECU based on the operating state being an inactive state, and controlling the plurality of motors through the power stored in the power reserve system.

Abstract: Disclosed is an organic light emitting display device which may improve reliability. The organic light emitting display device includes light emitting elements arranged in an active area, crack prevention layers arranged in a non-active area along the perimeter of the active area, and at least one crack detection line arranged between the active area and the crack prevention layers, and judges whether or not a crack is generated through an output resistance value from the at least one crack detection line and may thus raise yield.

Abstract: A computational storage device includes a control module, and a nonvolatile memory connected to the control module. The nonvolatile memory is configured to store a plurality of graph data elements, which comprises a plurality of nodes and a plurality of edges that connect at least a portion of the plurality of nodes to each other, in a first memory area and a second memory area each having a plurality of blocks and having different read speeds. The control module is configured to store a first graph data element of the plurality of graph data elements having a relatively high degree of association with one node of the plurality of nodes in the first memory area, and store a second graph data element of the plurality of graph data elements having a relatively low degree of association with the one node of the plurality of nodes in the second memory area.

Abstract: A storage device includes a nonvolatile memory device, and a storage controller configured to control the nonvolatile memory device. The storage controller includes: (i) a quality of experience (QoE) manager configured to schedule a request received from an external user equipment, based on storage device information and network information, and (ii) a software-defined networking (SDN) manager configured to set a network transfer path to the external user equipment, which is associated with video data corresponding to the request.

Abstract: Disclosed is an organic light emitting display device which may improve reliability. The organic light emitting display device includes light emitting elements arranged in an active area, crack prevention layers arranged in a non-active area along the perimeter of the active area, and at least one crack detection line arranged between the active area and the crack prevention layers, and judges whether or not a crack is generated through an output resistance value from the at least one crack detection line and may thus raise yield.

Abstract: A computational storage device includes a control module, and a nonvolatile memory connected to the control module. The nonvolatile memory is configured to store a plurality of graph data elements, which comprises a plurality of nodes and a plurality of edges that connect at least a portion of the plurality of nodes to each other, in a first memory area and a second memory area each having a plurality of blocks and having different read speeds. The control module is configured to store a first graph data element of the plurality of graph data elements having a relatively high degree of association with one node of the plurality of nodes in the first memory area, and store a second graph data element of the plurality of graph data elements having a relatively low degree of association with the one node of the plurality of nodes in the second memory area.

Abstract: Disclosed are method and apparatus for controlling a reactor in a reformer including training a first prediction model for predicting properties of feed and a second prediction model for predicting properties of products; predicting the properties of feed being currently supplied to a reactor set in real time by allowing a first prediction unit including the trained first prediction model to receive a current operating condition of the reactor set; predicting the properties of products being produced in the reactor set in real time by allowing a second prediction unit including the trained second prediction model to receive the current operating condition and the predicted properties of feed; calculating amount of temperature fluctuation for each reactor as a control signal for controlling each of the reactors; and controlling an operating temperature of each of the reactors based on the calculated amount of temperature fluctuation.

Abstract: A vibration measurement error determination method according to an embodiment of the present invention comprises: a vibration data acquisition step for acquiring vibration data by measuring a vibration generated in a structure; a first determination step for determining, on the basis of a preset error data selection rule, whether the vibration data is data generated by a measurement error; a second determination step for using a machine-learning algorithm to determine whether the vibration data is data generated by a measurement error; and a final determination step for determining, on the basis of the results determined in the first determination step and the second determination step, whether the vibration data is data generated by a measurement error.

Abstract: The present invention relates to an apparatus and method for automatically generating machine reading comprehension training data, and more particularly, to an apparatus and method for automatically generating and managing machine reading comprehension training data based on text semantic analysis. The apparatus for automatically generating machine reading comprehension training data according to the present invention includes a domain selection text collection unit configured to collect pieces of text data according to domains and subjects, a paragraph selection unit configured to select a paragraph using the pieces of collected text data and determine whether questions and correct answers are generatable, and a question and correct answer generation unit configured to generate questions and correct answers from the selected paragraph.

Abstract: A method of manufacturing a nitride semiconductor and a nitride semiconductor thin film prepared using the method are provided. The method includes preparing a substrate, forming a buffer layer by growing a thin film having a three-dimensional (3D) structure on the substrate, and forming a nitride semiconductor layer on the buffer layer.

Abstract: A method of manufacturing a nitrogen (N)-face nitride semiconductor and an N-face nitride semiconductor device manufactured using the method are provided. The method includes preparing a substrate, and forming a nitrogen-polarization (N-polar) nitride semiconductor layer on the substrate, using a pulse growth mode. The forming of the N-polar nitride semiconductor layer may include supplying a Group V element precursor, a Group III element precursor, or both in a pulse mode in a vapor deposition process.

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: The stator according to the present invention is characterized by comprising a stator core 11 including a base 111 of a circular shape, a teeth part 112 formed radially from the base 111, and a teeth end 113 extending to both sides in the circumferential direction at an end of the teeth part 112; an upper insulator 12 coupled to an upper part of the stator core 11, including an upper base insulating part 121 for insulating an upper part of the base 111, an upper teeth insulating part 122 formed radially in the outer circumferential direction of the upper base insulating part 121, for insulating the upper part of the teeth part 121, and an upper teeth end insulating part 123 located over the teeth end 113, protruding upward at an end of the upper teeth insulating part 122; a lower insulator 13 coupled to a lower part of the stator core 11, including a lower base insulating part 131 for insulating the lower part of the base 111, a lower teeth insulating part 132 formed radially in the outer circumferential dire

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: A system and method for laser assisted bonding of semiconductor die. As non-limiting examples, various aspects of this disclosure provide systems and methods that enhance or control laser irradiation of a semiconductor die, for example spatially and/or temporally, to improve bonding of the semiconductor die to a substrate.

Abstract: A computational storage device includes a control module, and a nonvolatile memory connected to the control module. The nonvolatile memory is configured to store a plurality of graph data elements, which comprises a plurality of nodes and a plurality of edges that connect at least a portion of the plurality of nodes to each other, in a first memory area and a second memory area each having a plurality of blocks and having different read speeds. The control module is configured to store a first graph data element of the plurality of graph data elements having a relatively high degree of association with one node of the plurality of nodes in the first memory area, and store a second graph data element of the plurality of graph data elements having a relatively low degree of association with the one node of the plurality of nodes in the second memory area.

Abstract: The present disclosure provides a technology that can increase a motor efficiency of a turbo blower permanent magnet motor by proposing a cooling structure for efficiently cooling a permanent magnet motor employed in a turbo blower. External air inlets provided at a motor casing of a turbo blower are formed at positions close to a closing ring between the closing ring and one side of a stator, each have a circular hole shape with the same diameter, and are coaxially formed with regular intervals on the outer surface of the motor casing.

Abstract: Disclosed herein are an apparatus and method for providing a search service based on important sentences. The apparatus for providing a search service based on important sentences includes memory in which at least one program and a previously trained word importance measurement model are recorded and a processor for executing the program. The program may include a word importance measurement unit for measuring the importance of each of multiple words included in input text in the corresponding input text based on the word importance measurement model and a sentence importance measurement unit for measuring the importance of each of at least one sentence included in the text based on the measured importance of each of the multiple words.

Abstract: Disclosed are a computational storage device, an electronic system and an electronic device. The computational storage device includes a nonvolatile memory, a buffer memory, and a storage controller. The storage controller communicates with the nonvolatile memory and the buffer memory. The storage controller performs computational processing and data format conversion on first data input to the storage controller based on a storage processing table associated with an external electronic device to output second data.

Abstract: A storage device includes a nonvolatile memory device, and a storage controller configured to control the nonvolatile memory device. The storage controller includes: (i) a quality of experience (QoE) manager configured to schedule a request received from an external user equipment, based on storage device information and network information, and (ii) a software-defined networking (SDN) manager configured to set a network transfer path to the external user equipment, which is associated with video data corresponding to the request.