Abstract: A semiconductor device having favorable electrical characteristics is provided. A first oxide is formed over a substrate; a first insulator is formed over the first oxide; an opening reaching the first oxide is formed in the first insulator; a first oxide film is deposited in contact with the first oxide and the first insulator in the opening; a first insulating film is deposited over the first oxide film; microwave treatment is performed from above the first insulating film; heat treatment is performed on one or both of the first insulating film and the first oxide; a first conductive film is deposited over the first insulating film; and part of the first oxide film, part of the first insulating film, and part of the first conductive film are removed until a top surface of the first insulator is exposed, so that a second oxide, a second insulator, and a first conductor are formed.

Abstract: An apparatus acquires a low-noise image, which is training data for training an image processing model, and a plurality of high-noise images corresponding to the same scene in the low-noise image data and each having different noise patterns. The apparatus calculates each of errors between a plurality of estimated output values, which is acquired by inputting a different one of the plurality of high-noise images to the image processing model and the low-noise image. Then, the apparatus calculates an anti-noise stability based on an error between the plurality of estimated output values, and trains the image processing model using a loss function including the errors between the plurality of estimated output values and the low-noise image and the anti-noise stability.

Abstract: An inspection device and an inspection method are provided. The inspection device includes: a main body portion, configured to be held by an inspector; a camera portion, disposed on the main body portion and configured to capture an inspected portion of a vehicle; and a guiding portion, configured to guide a camera direction of the camera portion to the inspector, so that an image obtained through the camera portion becomes a prescribed image suitable for inspection.

Abstract: An image processing apparatus includes a first acquisition unit configured to acquire a first feature amount from a first image based on a first trained model configured to extract a feature from an image, a second acquisition unit configured to acquire a second feature amount from a second image based on a second trained model determined based on a state of the second image and configured to extract a feature from an image, and a verification unit configured to determine, based on the first feature amount and the second feature amount, whether an object in the first image and an object in the second image are the same. The second trained model is a model having learned the second feature amount in a same feature space as that for the first trained model.

Abstract: An information processing apparatus mounted to transport equipment includes a processor that downloads a program of the information processing apparatus by a wireless communication, in which the information processing apparatus has communication modes including a first communication mode in which a wireless communication unit connects to a neighboring wireless access point and performs a communication and a second communication mode in which the wireless communication unit functions as a wireless access point for neighboring radio equipment, and, the processor performs a switching from the second communication mode to the first communication mode and searches for the neighboring wireless access point based on the first communication mode to attempt to connect to the neighboring wireless access point if the processor executes, when a power source of the transport equipment turns off, a discrimination of the communication mode and discriminates that the communication mode is the second communication mode.

Abstract: A control system includes a management unit configured to control a power supply device toward a target value for an output performance value of the power supply device that supplies power to a predetermined device, and an acquisition unit configured to acquire information related to a post-shutdown task scheduled to be executed after a shutdown condition of the predetermined device is satisfied, in which the management unit refers to the information acquired by the acquisition unit, and, when the post-shutdown task is scheduled to be executed, sets the target value to a second target value which is higher than a first target value set when the post-shutdown task is scheduled to be executed, before the shutdown condition is satisfied.

Abstract: An information processing apparatus mounted to transport equipment includes a processor that downloads a program of the information processing apparatus by a wireless communication, in which the information processing apparatus has communication modes including a first communication mode in which a wireless communication unit connects to a neighboring wireless access point and performs a communication and a second communication mode in which the wireless communication unit functions as a wireless access point for neighboring radio equipment, and, the processor performs a switching from the second communication mode to the first communication mode and searches for the neighboring wireless access point based on the first communication mode to attempt to connect to the neighboring wireless access point if the processor executes, when a power source of the transport equipment turns off, a discrimination of the communication mode and discriminates that the communication mode is the second communication mode.

Abstract: A sensor axis adjustment method includes: a conveying process of disposing the vehicle V at a vehicle inspection position that is determined in an inspection chamber Rb; a first aiming process of disposing a first target robot T1 at a first inspection position that is determined with respect to the first radar device R1, and adjusting the optical axis of the first radar device R1; and a second aiming process of disposing a second target robot T2 at a second inspection position that is determined with respect to the second radar device R2, and adjusting the optical axis of the second radar device R2. An execution period of the first aiming process and an execution period of the second aiming process at least partially overlap each other.

Abstract: The optical axis adjustment system 3 adjusts an optical axis O of a radar device R in a vehicle V in which the radar device R that detects an external environment is attached to a vehicle body B, and includes an adjustment target T that is movable in an inspection chamber Rb in which the vehicle body B is disposed, a radar attachment position and direction calculation unit that calculates an attachment position of the radar device R and a direction of the optical axis, a normal posture calculation unit that calculates a normal posture of the adjustment target T on the basis of a calculation result of the radar attachment position and direction calculation unit, and a target movement unit that sets a posture of the adjustment target T to a normal posture.

Abstract: An apparatus acquires a low-noise image, which is training data for training an image processing model, and a plurality of high-noise images corresponding to the same scene in the low-image data and each having different noise patterns. The apparatus calculates each of errors between a plurality of estimated output values, which is acquired by inputting a different one of the plurality of high-noise images to the image processing model and the low-noise image. Then, the apparatus calculates an anti-noise stability based on an error between the plurality of estimated output values, and trains the image processing model using a loss function including the errors between the plurality of estimated output values and the low-noise image and the anti-noise stability.

Abstract: The vehicle inspection device is used to adjust an optical axis of a radar device R in a vehicle in which the radar device R that acquires external environment information is attached to a vehicle body. The vehicle inspection device includes: a target robot T including a corner reflector 75 that reflects an electromagnetic wave emitted from the radar device R, and an electromagnetic wave characteristic measurement device 76 that measures characteristics of the electromagnetic wave emitted from the radar device R; and a control device 6 that controls the target robot T. The control device 6 calculates an attachment position of the radar device R and a direction of an optical axis on the basis of electromagnetic wave characteristics measured by the electromagnetic wave characteristic measurement device 76, and moves the target robot T to an inspection position that is determined on the basis of the calculation result.

Abstract: A control system includes a management unit configured to control a power supply device toward a target value for an output performance value of the power supply device that supplies power to a predetermined device, and an acquisition unit configured to acquire information related to a post-shutdown task scheduled to be executed after a shutdown condition of the predetermined device is satisfied, in which the management unit refers to the information acquired by the acquisition unit, and, when the post-shutdown task is scheduled to be executed, sets the target value to a second target value which is higher than a first target value set when the post-shutdown task is scheduled to be executed, before the shutdown condition is satisfied.

Abstract: An information processing apparatus includes a learning unit configured to learn a plurality of multi-layer neural networks configured to carry out a plurality of tasks, a generation unit configured to generate a shared layer candidate at a predetermined layer between or among the plurality of multi-layer neural networks, a first relearning unit configured to relearn the plurality of multi-layer neural networks in a structure using the shared layer candidate, and a determination unit configured to determine whether to share the shared layer candidate at the predetermined layer with respect to each of the plurality of tasks based on an evaluation of the relearning.

Abstract: An information processing apparatus includes a storing unit that stores a neural network that recognizes a data characteristic of data, and a correction unit that corrects the data by using the neural network stored in the storing unit such that the neural network recognizes that the data characteristic of the data is a predetermined data characteristic.

Abstract: The vehicle inspection system inspects a vehicle V in which a radar device R is attached to a vehicle body B. The vehicle inspection system includes: an adjustment target T that is movable in an inspection chamber Rb in which the vehicle body B is disposed; a first marker M1 that is attached to the vehicle body B; a second marker M2 that is attached to the adjustment target T; a position and posture calculation unit that calculates a position and a posture of the vehicle body B and the adjustment target T in the inspection chamber Rb by detecting a position and a posture of the first marker M1 and the second marker M2; and a target movement unit that moves at least one of the vehicle body B and the adjustment target T on the basis of a calculation result of the position and posture calculation unit.

Abstract: The vehicle inspection device is used to adjust an optical axis of a radar device R in a vehicle in which the radar device R that acquires external environment information is attached to a vehicle body. The vehicle inspection device includes: a target robot T including a corner reflector 75 that reflects an electromagnetic wave emitted from the radar device R, and an electromagnetic wave characteristic measurement device 76 that measures characteristics of the electromagnetic wave emitted from the radar device R; and a control device 6 that controls the target robot T. The control device 6 calculates an attachment position of the radar device R and a direction of an optical axis on the basis of electromagnetic wave characteristics measured by the electromagnetic wave characteristic measurement device 76, and moves the target robot T to an inspection position that is determined on the basis of the calculation result.

Abstract: The sensor axis adjustment method is a method of adjusting optical axes of first and second radar devices R1 and R2. The sensor axis adjustment method includes: a conveying process of disposing the vehicle V at a vehicle inspection position that is determined in an inspection chamber Rb; a first aiming process of disposing a first target robot T1 at a first inspection position that is determined with respect to the first radar device R1, and adjusting the optical axis of the first radar device R1; and a second aiming process of disposing a second target robot T2 at a second inspection position that is determined with respect to the second radar device R2, and adjusting the optical axis of the second radar device R2. An execution period of the first aiming process and an execution period of the second aiming process at least partially overlap each other.

Abstract: The optical axis adjustment system 3 adjusts an optical axis 0 of a radar device R in a vehicle V in which the radar device R that detects an external environment is attached to a vehicle body B, and includes an adjustment target T that is movable in an inspection chamber Rb in which the vehicle body B is disposed, a radar attachment position and direction calculation unit that calculates an attachment position of the radar device R and a direction of the optical axis, a normal posture calculation unit that calculates a normal posture of the adjustment target T on the basis of a calculation result of the radar attachment position and direction calculation unit, and a target movement unit that sets a posture of the adjustment target T to a normal posture.

Abstract: An information processing apparatus includes a storing unit that stores a neural network that recognizes a data characteristic of data, and a correction unit that corrects the data by using the neural network stored in the storing unit such that the neural network recognizes that the data characteristic of the data is a predetermined data characteristic.

Abstract: An information processing apparatus includes a learning unit configured to learn a plurality of multi-layer neural networks configured to carry out a plurality of tasks, a generation unit configured to generate a shared layer candidate at a predetermined layer between or among the plurality of multi-layer neural networks, a first relearning unit configured to relearn the plurality of multi-layer neural networks in a structure using the shared layer candidate, and a determination unit configured to determine whether to share the shared layer candidate at the predetermined layer with respect to each of the plurality of tasks based on an evaluation of the relearning.