Abstract: A display device includes a common voltage line disposed on a substrate, a passivation layer disposed on the common voltage line, a connection electrode disposed on the passivation layer and electrically connected to the common voltage line, a pixel definition layer disposed on the connection electrode and including a first opening, an emission layer disposed on the pixel definition layer, and a common electrode disposed on the emission layer and electrically connected to the connection electrode through the first opening, wherein the passivation layer includes a second opening surrounding the first opening.

Abstract: A task execution method using resources includes receiving an execution request for a first task; analyzing the first task and dividing the first task into a plurality of sub-tasks; identifying a sub-task using a first neural network from among the sub-tasks and dividing the identified sub-task into a plurality of layer tasks corresponding to calculations between layers constituting the first neural network; calculating a deadline time of each of the sub-tasks; scheduling a first sub-task to be scheduled to a first resource group from among the resources; and, when a runtime of the first sub-task exceeds a deadline time of the first sub-task, scheduling a sub-task or a layer task subsequent to the first sub-task to a second resource group.

Abstract: A task execution method includes receiving an execution request for a first task; analyzing the first task and dividing the first task into sub-tasks, the sub-tasks including a first sub-task and a second sub-task; calculating respective deadline times of the sub-tasks; scheduling the sub-tasks for processing by resources, the resources using neural networks; sequentially executing the sub-tasks using the resources and the neural networks; checking whether respective runtimes of the sub-tasks exceed a corresponding deadline time; and executing the second sub-task, subsequent to executing the first sub-task, using a first pruned neural network generated from the neural networks when the checking indicates that the runtime of the first sub-task exceeds the deadline time of the first sub-task.

Abstract: A method of operating a reconfigurable logic circuit includes; receiving a video sequence, profiling throughput of the video sequence with regard to a parameter constituting the reconfigurable logic circuit to generate a profiling result, initializing the parameter to a maximum value, evaluating throughput of the video sequence with regard to a current parameter value based on the profiling result, decreasing the current parameter value when throughput with regard to the current parameter value is not a maximum value, and determining that the current parameter value is an optimal parameter when throughput with regard to the current parameter value is the maximum value, and analyzing the video sequence based on the optimal parameter.

Abstract: An electronic device includes a memory configured to store at least one instruction; and at least one processor configured to execute the at least one instruction to: input first data to a first artificial intelligence model including a plurality of convolution blocks sequentially connected with a pooling layer interposed therebetween to obtain a plurality of feature maps that are output by corresponding ones of the plurality of convolution blocks, input the first data and the plurality of feature maps to a second artificial intelligence model including a plurality of local attention blocks sequentially connected to obtain a plurality of attention maps that are output by corresponding ones of the plurality of local attention blocks, output an amplified feature map by amplifying a region corresponding to a last attention map among the plurality of attention maps in a last feature map among the plurality of feature maps, and input the amplified feature map to a classifier to output a classification result for t

Abstract: Provided are a device and method for synchronizing data between hubs in real time. The method includes verifying a session interworking environment, deriving session negotiation candidates, generating a session negotiation protocol message, transmitting a session negotiation request signal including the generated session negotiation protocol message to a second data hub, receiving a session negotiation settlement signal corresponding to the session negotiation request signal from the second data hub, generating a session module on the basis of the session negotiation settlement signal, and transmitting a session negotiation settlement signal to the second data hub.

Abstract: Provided are a device and method for synchronizing data between hubs in real time. The method includes verifying a session interworking environment, deriving session negotiation candidates, generating a session negotiation protocol message, transmitting a session negotiation request signal including the generated session negotiation protocol message to a second data hub, receiving a session negotiation settlement signal corresponding to the session negotiation request signal from the second data hub, generating a session module on the basis of the session negotiation settlement signal, and transmitting a session negotiation settlement signal to the second data hub.

Abstract: Disclosed are an emulsion composition including oilgel capsules, a coating composition including the emulsion composition, and a method for preparing the same, as well as a method for coating a machine part with the coating composition. In particular, the compositions and machine parts have excellent wear resistance and increased production compared to an existing process of providing oilgel capsules as an overlay layer by mixing an organic solvent and a nonionic surfactant with an oilgel.

Abstract: The automatic welding method includes: carrying a pipe on which a true circle weld groove and settling the pipe at a fit-up position in the welding station and carrying a hollow connection member on which a true circle weld groove is formed to a position near the fit-up position in the welding station by using the material transport robot; measuring the alignment state of the hollow connection member with respect to the fit-up position by using a gap sensor robot, and according to the results, moving the position of the hollow connection member to align the weld groove of the pipe with the weld groove of the hollow connection member; performing a root welding on the aligned weld grooves by using a GT welding robot; and performing a filling and cap welding on the aligned weld grooves by using a GM welding robot to manufacture a 2D spool.

Abstract: The automatic welding method includes: carrying a pipe on which a true circle weld groove and settling the pipe at a fit-up position in the welding station and carrying a hollow connection member on which a true circle weld groove is formed to a position near the fit-up position in the welding station by using the material transport robot; measuring the alignment state of the hollow connection member with respect to the fit-up position by using a gap sensor robot, and according to the results, moving the position of the hollow connection member to align the weld groove of the pipe with the weld groove of the hollow connection member; performing a root welding on the aligned weld grooves by using a GT welding robot; and performing a filling and cap welding on the aligned weld grooves by using a GM welding robot to manufacture a 2D spool.

Abstract: A control method and system based on layer-wise adaptive channel pruning are provided.

Abstract: A method for searching deep neural network architecture for computation offloading in a computing environment is provided.

Abstract: A display protector includes a transparent base layer having a first surface and a second surface opposite to the first surface; a first stress relief adhesive layer on the first surface of the transparent base layer; a second stress relief adhesive layer on the second surface of the transparent base layer; and an ultra-thin glass (UTG) layer on the first stress relief adhesive layer, wherein a storage modulus of the first stress relief adhesive layer is about 0.03 MPa to about 0.2 MPa at ?10° C.

Abstract: A display device includes a common voltage line disposed on a substrate, a passivation layer disposed on the common voltage line, a connection electrode disposed on the passivation layer and electrically connected to the common voltage line, a pixel definition layer disposed on the connection electrode and including a first opening, an emission layer disposed on the pixel definition layer, and a common electrode disposed on the emission layer and electrically connected to the connection electrode through the first opening, wherein the passivation layer includes a second opening surrounding the first opening.

Abstract: A display device includes: a substrate; fan-out lines on the substrate; signal lines on the substrate, and spaced from the fan-out lines; and connection lines connecting the fan-out lines to the signal lines. The fan-out lines include: first fan-out lines of a first fan-out group; and second fan-out lines of a second fan-out group adjacent to the first fan-out group. An outermost first fan-out line of the first fan-out group that is located closest to the second fan-out group and an outermost second fan-out line of the second fan-out group that is located closest to the first fan-out group are connected to signal lines from among the signal lines, respectively, and a distance between the outermost first fan-out line and the outermost second fan-out line is greater than a distance between the signal lines respectively connected to the outermost first fan-out line and the outermost second fan-out line.

Abstract: A task execution method includes receiving an execution request for a first task; analyzing the first task and dividing the first task into sub-tasks, the sub-tasks including a first sub-task and a second sub-task; calculating respective deadline times of the sub-tasks; scheduling the sub-tasks for processing by resources, the resources using neural networks; sequentially executing the sub-tasks using the resources and the neural networks; checking whether respective runtimes of the sub-tasks exceed a corresponding deadline time; and executing the second sub-task, subsequent to executing the first sub-task, using a first pruned neural network generated from the neural networks when the checking indicates that the runtime of the first sub-task exceeds the deadline time of the first sub-task.

Abstract: A task execution method using resources includes receiving an execution request for a first task; analyzing the first task and dividing the first task into a plurality of sub-tasks; identifying a sub-task using a first neural network from among the sub-tasks and dividing the identified sub-task into a plurality of layer tasks corresponding to calculations between layers constituting the first neural network; calculating a deadline time of each of the sub-tasks; scheduling a first sub-task to be scheduled to a first resource group from among the resources; and, when a runtime of the first sub-task exceeds a deadline time of the first sub-task, scheduling a sub-task or a layer task subsequent to the first sub-task to a second resource group.

Abstract: A method of operating a reconfigurable logic circuit includes; receiving a video sequence, profiling throughput of the video sequence with regard to a parameter constituting the reconfigurable logic circuit to generate a profiling result, initializing the parameter to a maximum value, evaluating throughput of the video sequence with regard to a current parameter value based on the profiling result, decreasing the current parameter value when throughput with regard to the current parameter value is not a maximum value, and determining that the current parameter value is an optimal parameter when throughput with regard to the current parameter value is the maximum value, and analyzing the video sequence based on the optimal parameter.

Abstract: Disclosed is a hybrid deep learning scheduling method for accelerated processing of a multi-advanced metering infrastructure (AMI) data stream in edge computing, wherein a skewed data distribution change, which occurs in AMI data, is detected, an edge server computes an online gradient, which is comparatively quickly computed, on the basis of the detected change, a cloud server computes a normalized gradient, which requires a large amount of computation, according to selection by a hybrid scheduler, and the hybrid scheduler performs a total of three operations: (1) a data stream distribution profiling operation, (2) a memory buffer update operation, and (3) a hybrid scheduling operation.

Abstract: An object re-identification method performed by an object re-identification apparatus. The method includes detecting an object in a plurality of images; inferring object information including an attribute for the detected object; selecting an object having a same attribute as an identification target object from the inferred object information as a comparison target object; inferring a photographing angle of the selected comparison target object; selecting an identification candidate object from the comparison target object according to whether the inferred photographing angle is included in a predetermined angle range corresponding to the identification target object; and identifying whether the selected identification candidate object is matched with the identification target object.