Abstract: A method for synthesizing a pre-hydrolyzed polysilicate, wherein a polysilicate is applied as a reactant when synthesizing the pre-hydrolyzed polysilicate, and the total amount of water added in the reaction system is specified. The method is capable of omitting a condensation reaction by applying a polysilicate as a reactant, thereby significantly shortening synthesis time and reducing production costs when compared with a typical synthesis method in which alkoxysilane-based monomer compound is used as a reactant. In addition, the gelation reaction time and the weight average molecular weight can be easily controlled, and a pre-hydrolyzed polysilicate excellent in storage stability and processability can be synthesized.

Abstract: Disclosed is a method of compressing a neural network model that is performed by a computing device. The method includes receiving a trained model and compression method instructions for compressing the trained model, identifying a compressible block and a non-compressible block among a plurality of blocks included in the trained model based on the compression method instructions, transmitting a command to a user device that causes the user device to: display a structure of the trained model representing a connection relationship between the plurality of blocks on a first screen such that the compressible block and the non-compressible block are visually distinguished, and display, on a second screen, an input field operable to receive a parameter value entered by a user for compression of the compressible block, and compressing the trained model based on the parameter value entered by the user in the input field.

Abstract: Disclosed is a method of compressing a neural network model that is performed by a computing device. The method includes receiving a trained model and compression method instructions for compressing the trained model, identifying a compressible block and a non-compressible block among a plurality of blocks included in the trained model based on the compression method instructions, transmitting a command to a user device that causes the user device to: display a structure of the trained model representing a connection relationship between the plurality of blocks on a first screen such that the compressible block and the non-compressible block are visually distinguished, and display, on a second screen, an input field operable to receive a parameter value entered by a user for compression of the compressible block, and compressing the trained model based on the parameter value entered by the user in the input field.

Abstract: Disclosed is a method of controlling an electronic apparatus. The method includes receiving a trained model based on a data set and information on a target device, compressing the trained model based on compression configuring information for compression of the trained model, and providing download data corresponding to the compressed trained model so that the compressed trained model may be deployed on the target device.

Abstract: Disclosed is a method of providing information on a neural network model. The method includes receiving information on a target device and target performance of the neural network model; deriving information on a plurality of candidate neural network models; and transmitting a command to the external device to display information on the plurality of candidate neural network models, wherein the information on the plurality of candidate neural network models includes at least one of name of the plurality of candidate neural network models, performance of the plurality of candidate neural network models, or size of input data of the plurality of candidate neural network models.

Abstract: Disclosed is a method of compressing a neural network model that is performed by a computing device. The method includes receiving a trained model and compression method instructions for compressing the trained model, identifying a compressible block and a non-compressible block among a plurality of blocks included in the trained model based on the compression method instructions, transmitting a command to a user device that causes the user device to: display a structure of the trained model representing a connection relationship between the plurality of blocks on a first screen such that the compressible block and the non-compressible block are visually distinguished, and display, on a second screen, an input field operable to receive a parameter value entered by a user for compression of the compressible block, and compressing the trained model based on the parameter value entered by the user in the input field.

Abstract: A highly foamed coaxial cable having an inner conductor disposed in the cable, a foamed insulator having porous cells surrounding the inner conductor, an outer conductor surrounding the insulator, and a sheath surrounding the outer conductor and the insulator, wherein the total area of macro cell which has a diameter of at least 300/M is larger than the total area of micro cell which has a diameter smaller than 300/M at cross section of cable.

Abstract: A highly foamed coaxial cable comprising, an inner conductor disposed in the cable, and a foamed insulator comprising porous cells and surrounding the inner conductor, and an outer conductor surrounding said insulator, and a sheath surrounding said outer conductor, and in said insulator, the total area of macro cell which has a diameter of at least 300/M is larger than the total area of micro cell which has a diameter smaller than 300/M at cross section of cable.