Abstract: The present invention relates to a novel polycyclic compound employed in an organic layer of an organoelectro luminescent device, wherein the organoelectro luminescent device employing the compound according to the present invention has remarkably improved luminous efficiency and a long lifespan. According to the present invention, it is possible to implement a highly efficient and long-life organoelectro luminescent device that can be effectively applied to various display devices.

Abstract: A method for optimizing a hardware structure of a convolutional neural network including: searching an initial feature value group by which a final convolution layer located at a final stage among a plurality of convolution layers, setting an initial fusing network by analyzing a feature value group having a size corresponding to the initial feature value group; computing an operation time for each layer by allocating the number of operators corresponding to the size of the feature value group to each of the plurality of convolution layers, and dividing the size of the feature value group by determining a layer having a minimum operation time; resetting the fusing network by changing the size of the feature value group, determining the size of the feature value group having the smallest number of operators, determining the number of operators to be included in each of the plurality of convolution layers.

Abstract: Disclosed is an image upscaling apparatus that includes: multiple convolution layers, each configured to receive an input image or a feature map outputted by a previous convolution layer and extract features to output a feature map; and a multilayer configured to receive a final feature map outputted from the last convolution layer and output an upscaled output image. The multilayer includes: a first partition layer including first filters having a minimum size along the x-axis and y-axis directions and the same size as the final feature map along the z-axis direction; and at least one second partition layer, each including second filters, having a size greater than that of the first filter in the x-axis and y-axis directions and having a number and size of the first filter in the z-axis direction, and configured to shuffle features in the x-axis and y-axis directions of the first shuffle map.

Abstract: A method for optimizing a hardware structure of a convolutional neural network including: searching an initial feature value group by which a final convolution layer located at a final stage among a plurality of convolution layers, setting an initial fusing network by analyzing a feature value group having a size corresponding to the initial feature value group; computing an operation time for each layer by allocating the number of operators corresponding to the size of the feature value group to each of the plurality of convolution layers, and dividing the size of the feature value group by determining a layer having a minimum operation time; resetting the fusing network by changing the size of the feature value group, determining the size of the feature value group having the smallest number of operators, determining the number of operators to be included in each of the plurality of convolution layers.

Abstract: Disclosed is an image upscaling apparatus that includes: multiple convolution layers, each configured to receive an input image or a feature map outputted by a previous convolution layer and extract features to output a feature map; and a multilayer configured to receive a final feature map outputted from the last convolution layer and output an upscaled output image. The multilayer includes: a first partition layer including first filters having a minimum size along the x-axis and y-axis directions and the same size as the final feature map along the z-axis direction; and at least one second partition layer, each including second filters, having a size greater than that of the first filter in the x-axis and y-axis directions and having a number and size of the first filter in the z-axis direction, and configured to shuffle features in the x-axis and y-axis directions of the first shuffle map.

Abstract: Provided are a system for service of providing franchise details using card transaction approval information and a method thereof. When payment information is received from a franchise terminal, an authentication server approves a transaction by referencing a subscriber DB, and a forwarding server forwards card transaction statement information including an icon for a guide to the franchise details to a subscriber terminal which has been previously registered for the subscriber approved by the authentication server. When the subscriber terminal selects the icon, a franchise information management server reads the franchise details including a location and an advertisement of a franchise from a franchise information DB and transmits the franchise details to the subscriber terminal via the forwarding server.