Abstract: A semiconductor device includes first and second sheet patterns spaced apart from each other on a first region of the substrate, a first gate electrode extending between the first and second sheet patterns, third and fourth sheet patterns spaced apart from each other on a second region of the substrate, and a second gate electrode extending between the third and fourth sheet patterns. The first gate electrode includes a first work function controlling film, which is between the first and second sheet patterns, and a first filling conductive film on the first work function controlling film. The second gate electrode includes a second work function controlling film, which is between the third and fourth sheet patterns, and a second filling conductive film on the second work function controlling film. A distance between the third and fourth sheet patterns is greater than a distance between the first and second sheet patterns.

Abstract: A composite material for fire protection comprises: a) an inorganic fibre core comprising inorganic fibres interlocked or entangled to form a coherent body resistant against separation laminated between b) at least two layers of phyllosilicate insulation the material further comprising a barrier integral to the material to hinder ingress of humidity to edges of the inorganic fibre core.

Abstract: A method of automatically generating AutoCAD drawings includes: generating a data sheet by using only input data which is necessary for generating drawings of a heat exchanger and obtained from strength calculation data provided by a strength calculation program; loading the data sheet by a loading unit; and generating AutoCAD drawings of the heat exchanger by activating an automatic AutoCAD drawing generation interface by a user's selection, the automatic AutoCAD drawing generation interface being activatable only after the data sheet may be loaded, wherein the input data includes both machine data and thermal data.

Abstract: The disclosure relates to an artificial intelligence (AI) system for mimicking functions, such as cognition and determination as of the human brain, by utilizing a machine learning algorithm such as deep learning, and an application thereof. Provided are a neural network learning method according to an AI system and applications thereof, the method including extracting, by using a masking filter having an effective value in a specific portion of the masking filter including weight information of at least one hidden layer included in a learning network model, characteristics of input data according to weight information of a filter corresponding to the specific portion, comparing output data with target data, the output data being obtained from the learning network model based on extracted characteristics of the input data, and updating a size of the specific portion having the effective value in the masking filter, based on a result of the comparing.

Abstract: A method of manufacturing a semiconductor device includes: forming first to third preliminary active patterns on a substrate to have different intervals therebetween, forming first and second field insulating layers between the first and second preliminary active patterns and between the second and third preliminary active patterns, respectively, and forming first to third gate electrodes respectively on first to third active patterns formed based on the first to third preliminary active patterns, separated by first and second gate isolation structures.

Abstract: Provided are a polarizing plate and an optical display device including same, the polarizing plate comprising a polarizer and a protection film formed on at least one surface of the polarizer, wherein the polarizer includes, in at least a part thereof, an area having high light transmittance, and the area having the high light transmittance has a depolarization index that is less than or equal to approximately 2% in a wavelength of approximately 550 nm.

Abstract: An optical film, a polarizing plate including the same, and an optical display apparatus including the same are provided. An optical film includes a first layer and a second layer stacked on a lower surface of the first layer via a first primer layer, the first primer layer being formed of a first composition including a first urethane-based polymer and a first isocyanate-based curing agent, the first urethane-based polymer including a repeat unit derived from a first alicyclic isocyanate-based compound, and the first isocyanate-based curing agent including a first isocyanate trimer.

Abstract: An integrated control system of a vehicle includes: a power manager that receives power of a vehicle and supplies power to a first sensor, a second sensor, and a third sensor connected to an accelerator pedal, a brake pedal, and a transmission, respectively; a sensor signal receiver that receives an accelerator pedal output signal, a brake pedal output signal, and a transmission output signal from the first sensor, second sensor, and third sensor, respectively; a main controller that is connected to the power manager, monitors information about power supplied to the first sensor, second sensor, and third sensor, and integrally controls accelerating, braking, and shifting of the vehicle in response to the accelerator pedal output signal, brake pedal output signal, and transmission output signal; and a communicator that sends the accelerator pedal output signal, brake pedal output signal, and transmission output signal to a plurality of relevant control units.

Abstract: An apparatus for learning an image of a vehicle camera and a method thereof are provided to apply a result of deep learning to all vehicles regardless of the color of a vehicle and the mounting angle (e.g., yaw, roll and pitch) of a camera. The apparatus includes an image input device that inputs an image photographed by a camera mounted on a vehicle, and a controller that masks a fixed area in the image input from the image input device with a pattern image, converts the masked image into a plurality of images having different views, and performs deep learning by using the masked image and the converted plurality of images.

Abstract: Provided are: a polarizing plate comprising a polarizer, and a protective layer formed on at least one surface of the polarizer, and an optical display device comprising same. The polarizing plate comprises a first area and second area which are in an image display area, wherein the first area and second area have mutually different light transmittances at the same wavelength, the first area has a light transmittance of approximately 50% to 80%, and the first area has a color value a* of approximately ?13 to 2, and a color value b* of approximately 1 to 35.

Abstract: A polarizing plate and an optical display apparatus including the same are provided. The polarizing plate includes: a polarizer; and a first retardation layer and a second retardation layer sequentially stacked on a lower surface of the polarizer. The first retardation layer has an in-plane retardation (Re) of 200 nm to 250 nm at a wavelength of 550 nm; the second retardation layer has an in-plane retardation (Re) of 80 nm to 140 nm at a wavelength of 550 nm; and the polarizing plate has a total transmittance difference of 2% or more between total transmittance at a wavelength of 450 nm and total transmittance at a wavelength of 420 nm.

Abstract: A protective film for polarizers, a polarizing plate including the same, and an optical display apparatus including the same. The polyester-based film is a polyester protective film, has a thickness of about 10 ?m to about 50 ?m and a refractive index difference (nx?ny) of about 0.01 or more (nx and ny being indexes of refraction of the protective film at a wavelength of about 550 nm in the slow axis direction and the fast axis direction of the protective film, respectively), and is a biaxially stretched film. The slow axis direction of the protective film is coincident with a transverse direction (TD) thereof and an angle of about 70° to about 90° is defined between an external optical axis of the protective film and a normal direction with respect to an in-plane direction of the protective film.

Abstract: Provided is a washing apparatus and a method of controlling the same. The washing apparatus includes a washing tub; and a controller configured to determine whether laundry put into the washing tub is wet laundry or dry laundry, and to determine a weight of the laundry in the washing tub through a detection of wet laundry weight or a detection of dry laundry weight, based on a result of the determination. The washing apparatus includes a washing tub; and a controller configured to detect a water level of washing water in the washing tub, configured to perform at least one of detecting a weight of wet laundry weight and dry laundry according to the water level, and configured to allow washing to be performed according to at least one result of the detection of the wet laundry weight and the dry laundry weight.

Abstract: A polarizing plate and an optical display apparatus including the same. The polarizing plate includes: a polarizer; and a laminate of a first retardation layer and a second retardation layer, and a third retardation layer sequentially stacked on a lower surface of the polarizer, wherein the first retardation layer may have a slow axis tilted at an angle of +40° to +50° or at an angle of ?50° to ?40° with respect to an absorption axis or a transmission axis of the polarizer, the slow axis of the first retardation layer is tilted at an angle of +80° to +100° or at an angle of ?100° to ?80° with respect to a slow axis of the second retardation layer, the first retardation layer exhibits positive wavelength dispersion and has an in-plane retardation of 50 nm to 100 nm at a wavelength of 550 nm, and the second retardation layer has positive wavelength dispersion or flat wavelength dispersion and an in-plane retardation of 180 nm to 240 nm at a wavelength of 550 nm.

Abstract: A method for detecting an anchor-free object based on deep learning may include receiving a target image for object detection, inputting the image to a backbond network and performing learning to generate a heatmap, post-processing the heatmap, and outputting the post-processed result on a screen.

Abstract: The present disclosure provides a neural network training device for recognizing a class of an object included in an image based on an artificial intelligence (AI) system and an application thereof, the neural network training method including: acquiring, by using a first learning network model trained based on source training images respectively included in at least one class, feature information of a query image included in a class different from the at least one class; obtaining a generated image from the feature information of the query image by using a second learning network model acquiring feature information of the obtained generated image by using the first learning network model; and updating weights of layers respectively included in the first and second learning network models, based on a difference between the feature information of the query image and the feature information of the generated image and on a difference between the query image and the generated image.

Abstract: Provided is an apparatus for estimating a target component, the apparatus including a temperature controller configured to modulate temperature of an object, a measurer configured to measure a spectrum for each temperature of the object that changes based on the modulation, and a processor configured to obtain effective optical pathlength vectors corresponding to a temperature change based on the spectrum for each temperature of the object, obtain a representative effective optical pathlength based on the obtained effective optical pathlength vectors, and obtain a target component estimation model based on the obtained representative effective optical pathlength.

Abstract: Provided is a polarizing plate and an optical display device comprising same, the polarizing plate comprising: a polarizer; and a stack body of a first phase difference layer and a second phase difference layer stacked on a lower surface of the polarizer, wherein the first phase difference layer satisfies Equation 1, the second phase difference layer satisfies Equation 2, the sum of an in-plane phase difference at a wavelength of 550 nm between the first phase difference layer and the second phase difference layer is about 100 nm to about 110 nm, the sum of a thickness direction phase difference at a wavelength of 550 nm between the first phase difference layer and the second phase difference layer is about ?30 nm to about +10 nm, and the second phase difference layer comprises a fluorine-based phase difference layer.

Abstract: A washing machine is provided. The washing machine includes a water tub configured to be disposed in a cabinet and to store wash water, a rotating tub configured to be rotatably installed in the water tub and to include an opening formed in an upper end portion thereof, and a driver configured to be connected to the rotating tub and to rotate the rotating tub, wherein a deviation preventer configured to prevent wash water in the rotating tub from being deviated to one side during rotation of the rotating tub is formed at an upper end portion of the rotating tub.

Abstract: A wire rod and a steel wire for a high stress suspension spring for motorcycles, wherein decarbonization and low-temperature structure occurrence are easily suppressed when the wire rod and the steel wire are cooled down; and a manufacturing method therefor. A steel wire for a high strength spring includes, in percent by weight (wt %), 0.55 to 0.65% of carbon (C), 0.5 to 0.9% of silicon (Si), 0.3 to 0.8% of manganese (Mn), 0.3 to 0.6% of chromium (Cr), 0.015% or less of phosphorus (P), 0.01% or less of sulfur (S), 0.01% or less of aluminum (Al), 0.005% or less of nitrogen (N), and the remainder of iron (Fe) and inevitable impurities, satisfies Formula (1) below, and comprises 90% or more of a tempered martensite structure. In Formula (1), C, Mn, Cr, and Si denote contents (wt %) of the corresponding elements, respectively. (1) 0.77?C+(?)*Mn+(?)*Cr+( 1/24)*Si?0.83.