Abstract: An exemplary embodiment of the present invention provides a polarizer including a first retardation layer and a second retardation layer having different retardation values with respect to each other, a polarization layer disposed on the first retardation layer, a first compensation layer disposed between the first retardation layer and the second retardation layer, and a second compensation layer disposed below the second retardation layer.

Abstract: An artificial neural network apparatus and an operating method including a plurality of layer processors for performing operations on input data are disclosed. The artificial neural network apparatus may include: a flag layer processor for outputting a flag according to a comparison result between a pooling output value of a current frame and a pooling output value of a previous frame; and a controller for stopping operation of a layer processor which performs operations after the flag layer processor among the plurality of layer processors when the flag is outputted from the flag layer processor, wherein the flag layer processor is a layer processor that performs a pooling operation first among the plurality of layer processors.

Abstract: An exemplary embodiment of the present invention provides a polarizer including a first retardation layer and a second retardation layer having different retardation values with respect to each other, a polarization layer disposed on the first retardation layer, a first compensation layer disposed between the first retardation layer and the second retardation layer, and a second compensation layer disposed below the second retardation layer.

Abstract: The polyamide resin of the present invention is a polymer of a monomer mixture including a dicarboxylic acid and an amine-based compound, wherein the amine-based compound comprises diamine and triamine and a branching rate measured using 1H-NMR is approximately 1% to approximately 8%.

Abstract: An exemplary embodiment of the present invention provides a polarizer including a first retardation layer and a second retardation layer having different retardation values with respect to each other, a polarization layer disposed on the first retardation layer, a first compensation layer disposed between the first retardation layer and the second retardation layer, and a second compensation layer disposed below the second retardation layer.

Abstract: Provided is an image compression device including an object extracting unit configured to perform convolution neural network (CNN) training and identify an object from an image received externally, a parameter adjusting unit configured to adjust a quantization parameter of a region in which the identified object is included in the image on the basis of the identified object, and an image compression unit configured to compress the image on the basis of the adjusted quantization parameter.

Abstract: A frictional resistance-reducing device and a ship including the same are disclosed. The ship comprises: an outer panel including and air outlet; a plurality of reinforcement members provided on the inner surface of the outer panel so as to be spaced from each other; and a frictional resistance-reducing device formed on the inner surface of the out panel between immediately neighboring reinforcement members among the plurality of reinforcement members, so as to cover the air outlet, wherein the frictional resistance-reducing device includes: a hollow housing of which one surface is opened; and an air inlet formed in the housing, and the opened one surface faces the air outlet.

Abstract: A nozzle includes a nozzle body having a hollow portion, and a mixing chamber and a discharge guide sequentially connected to the hollow portion, and an engagement member having a gas supply passage formed to supply a gas therethrough, inserted and fixed into the hollow portion and spaced apart from an inner face of the hollow portion to form a liquid gas supply passage which supplies a liquid toward a central axis of an exit of the gas supply passage. The mixing chamber is connected to the gas supply passage and the liquid supply passage to form liquid droplets. The gas supply passage has a first cross-sectional area, the mixing chamber has a second cross-sectional area substantially the same as the first cross-sectional area, and the discharge guide has a third cross-sectional area smaller than the first cross-sectional area.

Abstract: The present disclosure relates to a substrate processing apparatus and a substrate processing method. The substrate processing apparatus according to the exemplary embodiment of the present disclosure may include: a processing liquid supply tube; a nozzle unit which is supplied with a processing liquid from the processing liquid supply tube and discharges the processing liquid to the substrate; and a light source unit which is provided to irradiate the processing liquid discharged from the nozzle unit with ultraviolet rays. According to the present disclosure, the processing liquid, which is electrified while passing the processing liquid supply tube, is irradiated with ultraviolet rays, such that electricity is eliminated from the electrified processing liquid, and as a result, it is possible to minimize a problem that the substrate is contaminated by peripheral particles or arcing occurs on the substrate.

Abstract: An anisotropic conductive film, the anisotropic conductive film including an insulating layer and a conductive layer laminated on the insulating layer, the conductive layer containing conductive particles, wherein after glass substrates are positioned to face each other on the upper and lower surface of the anisotropic conductive film and are pressed against the anisotropic conductive film at 3 MPa (based on the sample area) and 160° C. (based on the detection temperature of the anisotropic conductive film) for 5 sec, a ratio of the area of the insulating layer to that of the conductive layer is from about 1.3:1 to about 3.0:1.

Abstract: Provided is an image compression device including an object extracting unit configured to perform convolution neural network (CNN) training and identify an object from an image received externally, a parameter adjusting unit configured to adjust a quantization parameter of a region in which the identified object is included in the image on the basis of the identified object, and an image compression unit configured to compress the image on the basis of the adjusted quantization parameter.

Abstract: Provided is an artificial neural network device including pre-synaptic neurons configured to generate a plurality of input spike signals, and a post-synaptic neuron configured to receive the plurality of input spike signals and to generate an output spike signal during a plurality of time periods, wherein the post-synaptic neuron respectively applies different weights in the plurality of time periods according to contiguousness with a reference time period in which input spike signals, which lead generation of the output spike signal from among the plurality of input spike signals, are received.

Abstract: Provided is a convolutional neural network system. The system includes an input buffer configured to store an input feature, a parameter buffer configured to store a learning parameter, a calculation unit configured to perform a convolution layer calculation or a fully connected layer calculation by using the input feature provided from the input buffer and the learning parameter provided from the parameter buffer, and an output buffer configured to store an output feature outputted from the calculation unit and output the stored output feature to the outside. The parameter buffer provides a real learning parameter to the calculation unit at the time of the convolution layer calculation and provides a binary learning parameter to the calculation unit at the time of the fully connected layer calculation.

Abstract: A frictional resistance-reducing device and a ship including the same are disclosed. The ship comprises: an outer panel including and air outlet; a plurality of reinforcement members provided on the inner surface of the outer panel so as to be spaced from each other; and a frictional resistance-reducing device formed on the inner surface of the out panel between immediately neighboring reinforcement members among the plurality of reinforcement members, so as to cover the air outlet, wherein the frictional resistance-reducing device includes: a hollow housing of which one surface is opened; and an air inlet formed in the houseing, and the opened one surface faces the air outlet.

Abstract: Provided is a convolutional neural network system including a data selector configured to output an input value corresponding to a position of a sparse weight from among input values of input data on a basis of a sparse index indicating the position of a nonzero value in a sparse weight kernel, and a multiply-accumulate (MAC) computator configured to perform a convolution computation on the input value output from the data selector by using the sparse weight kernel.

Abstract: Provided is a convolution neural network system including an image database configured to store first image data, a machine learning device configured to receive the first image data from the image database and generate synapse data of a convolution neural network including a plurality of layers for image identification based on the first image data, a synapse data compressor configured to compress the synapse data based on sparsity of the synapse data, and an image identification device configured to store the compressed synapse data and perform image identification on second image data without decompression of the compressed synapse data.

Abstract: A copolymerized polyamide resin includes a polymer of a monomer mixture comprising a dicarboxylic acid component comprising adipic acid and a dicarboxylic acid represented by Formula 1, wherein each R1 is independently a C1 to C5 alkyl group and a is an integer from 0 to 4, and a diamine component comprising m-xylene diamine and a diamine represented by Formula 2, wherein A is a single bond or a C1 to C10 hydrocarbon group, R2 and R3 are each independently a C1 to C5 alkyl group, and b and c are each independently an integer from 0 to 4, wherein the copolymerized polyamide resin has a difference between a melting temperature (Tm) and a crystallization temperature (Tc) of about 50° C. or more. The copolymerized polyamide resin may have excellent heat resistance and reduced or no gel generation and yellowing phenomenon in a molding process.

Abstract: A remote controller setting method using display identification data (EDID) includes transmitting, by a TV, EDID information to a set-top box, when the set-top box is connected to the TV through a high definition multimedia interface cable, and analyzing, by the set-top box, the EDID information to grasp a manufacturer's name of the TV and transmitting, to a remote controller, the manufacturer's name of the TV or infrared (IR) code information corresponding to the TV manufacturer to allow the remote controller to remotely control the TV (5).

Abstract: Provided is a method for operating a convolutional neural network. The method includes performing learning on weights between neural network nodes by using input data, removing an adaptive parameter that performs learning using the input data after removing a weight having a size less than a threshold value among weights, and mapping remaining weights in the removing of the adaptive parameter to a plurality of representative values.

Abstract: An exemplary embodiment of the present invention provides a polarizer including a first retardation layer and a second retardation layer having different retardation values with respect to each other, a polarization layer disposed on the first retardation layer, a first compensation layer disposed between the first retardation layer and the second retardation layer, and a second compensation layer disposed below the second retardation layer.