Abstract: An apparatus for identifying the state of a signal light includes a processor configured to input time series images into a first classifier to detect object regions each including a vehicle equipped with a signal light in the respective images, the first classifier having been trained to detect the vehicle; chronologically input characteristics obtained from pixel values of the object regions detected in the respective images into a second classifier to calculate confidence scores of possible candidate states of the signal light of the vehicle, the second classifier having a recursive structure or performing a convolution operation in a temporal direction; and identify the state of the signal light, based on the preceding state of the signal light, information indicating whether transitions between the candidate states of the signal light are allowed, and the confidence scores of the respective candidate states.

Abstract: A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

Abstract: An apparatus for identifying the state of an object includes a processor configured to input, every time obtaining an image from a camera, the image into a first classifier to detect, for each of one or more predetermined objects represented in the image, an object region including the object; determine a predicted object region in a subsequent image to be obtained from the camera for an object whose position in the subsequent image is predictable; and input characteristics into a second classifier to identify the state of an object involving time-varying changes in outward appearance. When the object has a predicted object region, the characteristics are obtained from pixel values of the predicted object region in the subsequent image. On the other hand, when the object does not have a predicted object region, the characteristics are obtained from pixel values of the object region detected from the subsequent image.

Abstract: A training image selection system 1, 1? comprises: an imaging device 21, 22 capturing an outside of a host vehicle to generate images, a storage device 32 storing the images generated by the imaging device, a detecting part 34 configured to detect operation of signaling lights of the host vehicle, and an image selecting part 35 configured to select training images from the images generated by the imaging device. If the detecting part detects operation of signaling lights, the image selecting part is configured to select images generated at timings within a predetermined range from when operation of signaling lights is detected, as training images.

Abstract: A storage system includes a host including a processor and a memory unit, and a storage device including a controller and a non-volatile memory unit. The processor is configured to output a write command, write data, and size information of the write data, to the storage device, the write command that is output not including a write address. The controller is configured to determine a physical write location of the non-volatile memory unit in which the write data are to be written, based on the write command and the size information, write the write data in the physical write location of the non-volatile memory unit, and output the physical write location to the host. The processor is further configured generate, in the memory unit, mapping information between an identifier of the write data and the physical write location.

Abstract: An apparatus for identifying the state of an object inputs time series images into a first classifier to detect an object region including a predetermined object from each image, determines whether the region of each image is in a mixed state in which the region includes another object other than the object, chronologically inputs characteristics obtained from pixel values of the region of each image into a second classifier having a recursive structure, and applies a recursively used internal state of the second classifier stored in a memory to the second classifier, identifying the state of the object involving time-varying changes in outward appearance. The apparatus rejects the latest internal state when the region of each image is in the mixed state. The apparatus updates the internal state stored in the memory with this latest internal state when the region is not in the mixed state.

Abstract: According to the embodiments, a nonvolatile memory device is configured to store a normal operating system, and store a bootloader. A host device is capable of initiating the normal operating system by using the bootloader. The host device is configured to determine whether a first condition is established based on information obtained from the nonvolatile memory device; and rewrite, when determined the first condition is established, the bootloader so that an emergency software is initiated when booting the host device. The emergency software is executed on the host device. The host device is capable of issuing only a read command to the nonvolatile memory device under a control of the emergency software.

Abstract: An object detection device includes a processor configured to calculate, for each of a plurality of regions in an input image, a confidence indicating a degree of certainty that an object to be detected is represented; determine that the object is represented in a first region for which the confidence is equal to or higher than a first confidence threshold; calculate an occlusion ratio of an occluded region, in which the object is occluded in the first region by another object, to the first region; and determine that the object to be detected is represented in a second region which at least partially overlaps with the first region, when the occlusion ratio is equal to or higher than an occlusion ratio threshold and the confidence for the second region is equal to or higher than a second confidence threshold which is lower than the first confidence threshold.

Abstract: According to one embodiment, an information processing device includes a nonvolatile memory, assignment unit, and transmission unit. The assignment unit assigns logical address spaces to spaces. Each of the spaces is assigned to at least one write management area included in a nonvolatile memory. The write management area is a unit of an area which manages the number of write. The transmission unit transmits a command for the nonvolatile memory and identification data of a space assigned to a logical address space corresponding to the command.

Abstract: An erroneous operation determination device is configured to determine whether an occupant performs an erroneous operation of misstepping on a first operation pedal instead of a second operation pedal. The erroneous operation determination device includes an electronic control unit configured to acquire operation information relating to an operation content of the first operation pedal by the occupant and determine whether the occupant performs an erroneous operation based on the acquired operation information. The electronic control unit is configured to learn at least one of the operation content of the first operation pedal and an operation content of the second operation pedal and determine whether the occupant performs an erroneous operation based on a result of the learning.

Abstract: A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

Abstract: A storage system includes a host including a processor and a memory unit, and a storage device including a controller and a non-volatile memory unit. The processor is configured to output a write command, write data, and size information of the write data, to the storage device, the write command that is output not including a write address. The controller is configured to determine a physical write location of the non-volatile memory unit in which the write data are to be written, based on the write command and the size information, write the write data in the physical write location of the non-volatile memory unit, and output the physical write location to the host. The processor is further configured generate, in the memory unit, mapping information between an identifier of the write data and the physical write location.

Abstract: A plating solution containing a leveler is brought into contact with silica particles with an average particle diameter of 500 ?m or less to remove impurities from the plating solution.

Abstract: An object detection device 30 comprises a position region detecting part 31 using a first neural network to detect a position region of an object in the image, a large attribute identification part 32 configured using a second neural network to identify a large attribute of the object, a small attribute identification part 33 using a third neural network to identify a small attribute of the object, and an object judging part 34 judging a result of detection of the object. The object judging part is configured to judge that a result of identification of the small attribute is the result of detection if a confidence of the result of identification of the small attribute is equal to or more than a threshold value, and judge the result of detection based on a result of identification of the large attribute if the confidence is less than the threshold value.

Abstract: According to the embodiments, an external storage device switches to an interface controller for supporting only a read operation of nonvolatile memory when a shift condition for shifting to a read only mode is met. A host device switches to an interface driver for supporting only the read operation of the nonvolatile memory when determining to recognize as read only memory based on information acquired from the external storage device.

Abstract: A storage device includes a nonvolatile semiconductor memory device including a plurality of physical blocks and a memory controller. The memory controller is configured to associate one or more physical blocks to each of a plurality of stream IDs, execute a first command containing a first stream ID received from a host, by storing write data included in the write IO in the one or more physical blocks associated with the first stream ID, and execute a second command containing a second stream ID received from the host, by selecting a first physical block that includes valid data and invalid data, transfer the valid data stored in the first physical block to a second physical block, and associate the first physical block from which the valid data has been transferred, with the second stream ID.

Abstract: A surface treatment device includes at least one paddle in a plate shape, in a surface treatment tank, for stirring a surface treatment solution near an object to be plated by reciprocally moving the paddle with respect to the object to be plated. The paddle is configured by integrally forming multiple square bars provided in a depth direction or a horizontal direction of the surface treatment solution at regular intervals along the object to be plated. A liquid draining member for draining a liquid is arranged in at least one side of an end of the paddle.

Abstract: A holding apparatus for applying an electrolytic plating treatment to a planar workpiece, and the holding apparatus can reduce an amount of plating that is deposited on an edge part of the planar workpiece. The holding apparatus for applying the electrolytic plating treatment to the planar workpiece has a rear member and a front member facing the rear member and having an opening part. The planar workpiece is disposed between the rear member and the front member. The front member has a plurality of electrodes and a plurality of first insulating parts. The plurality of electrodes and the plurality of first insulating parts cover the edge part of the planar workpiece in a width direction of the planar workpiece.

Abstract: A storage array includes a first controller, memory, and one or more storage devices. Each of the storage devices comprises a second controller and a nonvolatile memory. The first controller receives a command and data from a host connected to the storage array and transmits a response or data to the host. When a write command, write data, and size information of the write data are received from the host, the first controller sends the received data to the second controller. The second controller determines a write address indicating a memory region of the nonvolatile memory in which the write data are to be written, based on the write command and the size information, writes the write data in the memory region associated with the write address, and transmits the write address to the first controller. The first controller further transfers the write address to the host.

Abstract: A storage device includes a nonvolatile memory including a plurality of physical blocks, a communication interface connectable to a host, and a controller. The controller is configured to generate metadata of host data, which include user data and metadata of the user data, and write, in a physical block of the nonvolatile memory, the metadata of the host data, the metadata of the user data, and the user data continuously in this order, when the host data are received through the communication interface in association with a write command.