Abstract: An image processing apparatus comprises one or more processors and one or more memories containing instructions that, when executed by the one or more processors, cause the one or more processors to function as a specification unit configured to, based on a parameter of an image capturing unit, specify a region captured by the image capturing unit in a display screen in which display panels are arrayed, and a correction unit configured to, based on a direction from a pixel in the region to the image capturing unit, obtain a correction amount of a luminance value of the pixel, and based on information for correcting an individual difference regarding a luminance of a display panel, correct the correction amount.

Abstract: An embodiment is a device including a substrate, the substrate being flexible. The device further comprises an electrode configured to be in contact with a living body, a circuit connected to the electrode via an electric wiring, a wireless transceiver connected to the circuit and configured to transmit and receive signals, a power supply configured to supply electric power to the circuit and the wireless transceiver, and a battery connected to the power supply, where the electrode, the circuit, the wireless transceiver, the power supply and the battery are mounted on the substrate, and the substrate is configured to be deformed to make the wireless transceiver arranged away from the living body when attached to the living body.

Abstract: An embodiment communication connection determination method is a communication connection determination method between a sensor terminal and a sensor accommodating terminal, the method including a step of receiving first data and storing a first time stamp, a step of determining the reception number of pieces of the first data, a step of calculating a mean deviation reference value using a first time stamp interval obtained from the first time stamp, a step of receiving second data and storing a second time stamp, a step of determining the reception number of pieces of the second data, a step of calculating a mean deviation evaluation value using a second time stamp interval obtained from the second time stamp, and a step of testing whether there is a significant difference between the mean deviation reference value and the mean deviation evaluation value.

Abstract: A photoelectric conversion device includes pixels each including a photoelectric conversion unit for generating charge by photoelectric conversion, first to fourth charge holding portions configured to be transferred charge from the photoelectric conversion unit, and an output unit for outputting a signal corresponding to charge transferred from one of the first to fourth charge holding portions, and a control circuit for controlling the plurality of pixels. The control circuit performs, during one frame, transferring charge in the photoelectric conversion unit to the first or second charge holding portion a plural times for each of the first and second charge holding portions in each of the pixels at the same time, and performs, during the one frame, reading out from each pixel a signal corresponding to charge in the third charge holding portion and a signal corresponding to charge in the fourth charge holding portion.

Abstract: In an image processing apparatus, an image signal of a plurality of polarized lights is input, for each set of image signals corresponding to the polarized lights, a maximum value of polarization intensities of polarization components of the image signals and a polarization angle at which the maximum value of the polarization intensities is obtained are found, and a target area to which polarization reduction is to be applied is found based on the image signal and a statistical area is set in the target area. Representative intensity and angle which are modes of the polarization intensities and angles of the sets included in the statistical area are found, and first correction processing for correcting each image signal of the sets included in the target area is performed using the representative intensity and angle according to the polarization angle of the each image signal.

Abstract: A sensor system includes a sensor terminal and a sensor accommodating terminal The sensor accommodating terminal includes a time stamp adding unit that acquires a time stamp of a reception time of a packet received from the sensor terminal, a memory that stores the time stamp and a time stamp interval, and a disconnection determination unit. The disconnection determination unit calculates a first variance of a plurality of time stamp intervals, calculates a second variance of the plurality of time stamp intervals newly obtained after calculation of the first variance, calculates a ratio of the second variance to the first variance as an evaluation value, and determines whether a reception interval of the packet is normal or abnormal by equal variance determination of the evaluation value.

Abstract: An image processing apparatus comprises one or more processors and one or more memories containing instructions that, when executed by the one or more processors, cause the one or more processors to function as a specification unit configured to, based on a parameter of an image capturing unit, specify a region captured by the image capturing unit in a display screen in which display panels are arrayed, and a correction unit configured to, based on a direction from a pixel in the region to the image capturing unit, obtain a correction amount of a luminance value of the pixel, and based on information for correcting an individual difference regarding a luminance of a display panel, correct the correction amount.

Abstract: An information processing system includes a plurality of node devices and a gateway device configured to communicate with the plurality of node devices. Each of the plurality of node devices is connected to a sensor configured to measure a state of a facility, and is configured to execute a measurement task. Each of the plurality of node devices is configured to add node identification information used to identify the node device and task identification information used to identify the measurement task executed by the node device, to measurement data acquired in the measurement task, and send the measurement data to the gateway device.

Abstract: An information processing apparatus that performs machine learning of a learning model for improving the accuracy of inference of an image even in a case where the characteristics of an image are changed by correction applied to the image. The image processing apparatus includes an image processor configured to perform image processing on a training image and a teacher image according to each of a plurality of correction conditions. Machine learning of the learning model is performed using the training image and the teacher image. A plurality of parameters obtained by performing the machine learning of the learning model are stored in association with the plurality of correction conditions, respectively.

Abstract: An information processing system includes a plurality of node devices and a gateway device configured to communicate with the plurality of node devices. Each of the plurality of node devices is connected to a sensor configured to measure a state of a facility, and is configured to execute a measurement task. Each of the plurality of node devices is configured to add node identification information used to identify the node device and task identification information used to identify the measurement task executed by the node device, to measurement data acquired in the measurement task, and send the measurement data to the gateway device.

Abstract: A node apparatus configured to be connected with a sensor includes a communication portion and a control portion. The communication portion is configured to communicate with a gateway apparatus. The control portion is configured to execute a first task in which the control portion transmits data obtained from the sensor, to the gateway apparatus by using the communication portion, and a second task in which the control portion transmits information on synchronization with the gateway apparatus, to the gateway apparatus by using the communication portion at a timing different from a timing at which the control portion executes the first task.

Abstract: The present invention provides an imprint method of performing, for each of a plurality of shot regions on a substrate, a process of forming a pattern of an imprint material on the substrate using a mold, comprising: obtaining a model configured to receive condition information representing a condition of the process and output an extrusion state of the imprint material from a shot region; estimating the extrusion state of the imprint material from at least one first shot region that has already undergone the process, by the model, based on the condition information obtained in the process of the first shot region; and determining, based on the estimated extrusion state in the first shot region, whether to execute the process for a second shot region scheduled to undergo the process next to the first shot region.

Abstract: A system includes a node apparatus, a gateway apparatus, and a computer connected to a network. The node apparatus includes a first apparatus including a master circuit board including a connector, and a first component detachably connected to the connector of the first apparatus. The gateway apparatus includes a second apparatus, and a second component detachably connected to the connector of the second apparatus.

Abstract: An information processing apparatus that performs machine learning of a learning model for improving the accuracy of inference of an image even in a case where the characteristics of an image are changed by correction applied to the image. The image processing apparatus includes an image processor configured to perform image processing on a training image and a teacher image according to each of a plurality of correction conditions. Machine learning of the learning model is performed using the training image and the teacher image. A plurality of parameters obtained by performing the machine learning of the learning model are stored in association with the plurality of correction conditions, respectively.

Abstract: An information processing system includes a plurality of node devices and a gateway device configured to communicate with the plurality of node devices. Each of the plurality of node devices is connected to a sensor configured to measure a state of a facility, and is configured to execute a measurement task. Each of the plurality of node devices is configured to add node identification information used to identify the node device and task identification information used to identify the measurement task executed by the node device, to measurement data acquired in the measurement task, and send the measurement data to the gateway device.

Abstract: An object of the present invention is to provide an adhesive composition and an adhesive sheet that are stably dissolved or dispersed in a solvent or a dispersion medium having low polarity, have high total light transmittance and have high-function antistatic properties. An adhesive composition including (A) an adhesive polymer comprising repeated structures which consist of one or more kinds of (meth)acryl-based, urethane-based, silicone-based and polyolefin-based unit structures, (B) a conductive polymer complex including a conjugated polymer, and a polyanion having a block copolymer structure, and (C) a nonaqueous solvent or dispersion medium, in which the conductive polymer complex is contained by 0.1 parts by mass or higher and lower than 10 parts by mass relative to 100 parts by mass of the adhesive polymer.