Abstract: An object is to obtain training data through an ideal image generated from an actually-shot image. A data generating method of generating data used in learning a model using a processor, the data generating method including: generating an ideal image corresponding to output data of the model from a captured image obtained by a predetermined device; and generating a degraded image corresponding to input data of the model from the ideal image.

Abstract: A coil device includes a coil and a chip capacitor. A coil wire is wound around the coil. The chip capacitor has an electrode surface. The electrode surface is electrically connected to the coil. A connecting portion is a partial length region of the coil wire extracted from the coil. The connecting portion is directly connected to the electrode surface.

Abstract: To generate training data setting various sensor states. A method for generating data is a method for generating training data used for machine learning from a CG model using a processor. The method for generating data includes: generating, through simulation, a first image acquired under a first imaging condition and a second image acquired under a second imaging condition that is different from the first imaging condition, in the CG model, and acquiring at least the first image and the second image as input image data in the training data.

Abstract: A method for manufacturing an antenna device comprises melting a brazing material and a removing a part of an insulating film. The antenna device includes an antenna portion formed by winding a coil wire having a coil core covered with the insulating film, and a base having a pad portion to which a part of the coil wire is brazed with the brazing material. In melting the brazing material, the brazing material supplied onto the pad portion is irradiated with a laser beam so that the brazing material melts. In removing a part of the insulating film, the coil wire is immersed in the molten brazing material so that a part of the insulating film is removed from the coil wire, and the coil wire and the pad portion are joined with the brazing material.

Abstract: It is desirable that a technique that allows a reduction in cost of collecting training data required for generating an inference model be provided. Provided is an information processing device including: a training data generation unit configured to generate second training data on the basis of the fact that detection information related to detection of a predetermined event does not satisfy a first condition, the detection information being obtained on the basis of a first inference model generated through training based on first training data and sensor data detected by a sensor; and a retraining unit configured to perform retraining on the basis of the second training data to obtain a second inference model.

Abstract: A power transmission device includes an annular transmission unit having an annular first magnetic core and a transmission coil and an annular reception unit having an annular second magnetic core and a reception coil. The transmission unit and the reception unit are arranged to face each other. The power transmission device transmits power from the transmission unit to the reception unit. The transmission unit and the reception unit are relatively rotatable about a rotation axis passing through a cavity inside the transmission unit and a cavity inside the reception unit, the first magnetic core has a structure divided into a plurality of first split cores in a circumferential direction, and the second magnetic core has a structure divided into a plurality of second split cores in the circumferential direction.

Abstract: An object is to obtain training data through an ideal image generated from an actually-shot image. A data generating method of generating data used in learning a model using a processor, the data generating method including: generating an ideal image corresponding to output data of the model from a captured image obtained by a predetermined device; and generating a degraded image corresponding to input data of the model from the ideal image.

Abstract: To generate training data setting various sensor states. A method for generating data is a method for generating training data used for machine learning from a CG model using a processor. The method for generating data includes: generating, through simulation, a first image acquired under a first imaging condition and a second image acquired under a second imaging condition that is different from the first imaging condition, in the CG model, and acquiring at least the first image and the second image as input image data in the training data.

Abstract: [Object] Training data is acquired using a computer graphics. [Solution] An image generation method includes acquiring a CG model or an artificial image generated based on the CG model and performing, by a processor, processing on the CG model or the artificial image and generating metadata of a processed image used for AI learning used for an image acquired by a sensor or the artificial image.

Abstract: A power transmission device includes an annular transmission unit having an annular first magnetic core and a transmission coil and an annular reception unit having an annular second magnetic core and a reception coil. The transmission unit and the reception unit are arranged to face each other. The power transmission device transmits power from the transmission unit to the reception unit. The transmission unit and the reception unit are relatively rotatable about a rotation axis passing through a cavity inside the transmission unit and a cavity inside the reception unit, the first magnetic core has a structure divided into a plurality of first split cores in a circumferential direction, and the second magnetic core has a structure divided into a plurality of second split cores in the circumferential direction.

Abstract: An image processing apparatus includes a separation unit, a Bayer image signal supply unit, and a signal processing unit. The separation unit separates and removes, in input image signals in which pixel signals each including an invisible light component are arranged in an array different from a Bayer array, the invisible light components from the pixel signals. The Bayer image signal supply unit arranges the pixel signals from which the invisible light components have been removed in the Bayer array and supplies the pixel signals as Bayer image signals. The signal processing unit subjects the Bayer image signals to predetermined signal processing.

Abstract: To generate a low noise image signal, even in image capturing in a low light intensity environment. In a signal processing device of an image capturing device; a noise reduction section removes noise from one of an invisible light signal and a color difference signal and from a luminance signal, and generates a group of signals from which noise is removed; and an image signal generation section generates an image signal including an adjusted luminance signal and an adjusted color difference signal at a ratio that is substantially equal to a ratio between the luminance signal and the color difference signal by adjusting the luminance signal and the color difference signal, and generates one of the adjusted luminance signal and the adjusted color difference signal based on the invisible light signal and the group of signals from which the noise is removed.

Abstract: To facilitate design and development of an apparatus that processes images. An image processing apparatus includes a separation unit, a Bayer image signal supply unit, and a signal processing unit. The separation unit separates and removes, in input image signals in which pixel signals each including an invisible light component are arranged in an array different from a Bayer array, the invisible light components from the pixel signals. The Bayer image signal supply unit arranges the pixel signals from which the invisible light components have been removed in the Bayer array and supplies the pixel signals as Bayer image signals. The signal processing unit subjects the Bayer image signals to predetermined signal processing.

Abstract: To generate a low noise image signal, even in image capturing in a low light intensity environment. In a signal processing device of an image capturing device; a noise reduction section removes noise from one of an invisible light signal and a color difference signal and from a luminance signal, and generates a group of signals from which noise is removed; and an image signal generation section generates an image signal including an adjusted luminance signal and an adjusted color difference signal at a ratio that is substantially equal to a ratio between the luminance signal and the color difference signal by adjusting the luminance signal and the color difference signal, and generates one of the adjusted luminance signal and the adjusted color difference signal based on the invisible light signal and the group of signals from which the noise is removed.

Abstract: A video signal processing apparatus includes a correction pixel determining unit configured to detect an edge and a background region of a left-eye image and a right-eye image so as to determine a pixel that is to be corrected, a correction amount map forming unit configured to calculate a correction amount for each pixel based on whether the pixel is determined as a correction pixel, so as to form a correction amount map of a screen, and an image correcting unit configured to add the correction amount map to each of the left-eye image and the right-eye image that are inputted, so as to obtain a correction image.

Abstract: A display device includes a first measurement unit measuring information on luminance of a first image signal to output a first measurement result, a second measurement unit measuring information on a luminance of a second image signal to output a second measurement result, a comparator comparing the first measurement result with the second measurement result to output differential data, a correction amount determination unit determining a correction amount for the first image signal and/or the second image signal based on the differential data, and a correction unit correcting the luminance of the first image signal and/or the second image signal based on the correction amount.

Abstract: There is provided a display device including a first measurement portion that measures information relating to luminance of a first image signal, and outputs a first measurement result, a second measurement portion that measures information relating to luminance of a second image signal, and outputs a second measurement result, a comparison portion that compares the first measurement result with the second measurement result and outputs differential data, a correction amount determination portion that determines, based on the differential data, a correction amount for at least one of the first image signal and the second image signal and a correction portion that corrects, based on the correction amount, the luminance of at least one of the first image signal and the second image signal.