Abstract: A bioinformation acquiring apparatus includes at least one processor and a memory configured to store a program to be executed in the processor.

Abstract: A valve device includes a flow path formation member provided with at least one flow path hole through which a fluid passes, and a drive part that outputs a rotational force. The valve device includes a shaft, and a rotor having a sliding surface that slides while facing an opening surface of the flow path formation member where the flow path hole is opened, and the rotor is configured to increase or decrease an opening degree of the flow path hole with rotation of the shaft. The valve device includes an energization member that energizes the rotor toward the flow path formation member. The valve device includes a coupling structure configured to tiltably couple the shaft to the rotor such that a contact state between the sliding surface and the opening surface is held regardless of a posture or a position of the shaft.

Abstract: A fluid circulation circuit includes a flow passage switching valve. The flow passage switching valve includes a body and a switcher. The body includes a first inlet, a second inlet, and outlets including a first outlet. The switcher is capable of switching a passage configuration to a state in which a fluid that has flowed in from the first inlet flows out of either one of the outlets and a state in which the fluid that has flowed in from the second inlet flows out of either one of the outlets.

Abstract: A bioinformation acquiring apparatus includes at least one processor; and a memory configured to store a program to be executed in the processor. The processor acquires bioinformation in a chronological order; derives outlier level parameters, the outlier level parameter indicating a level of inclusion of outliers of the bioinformation in pieces of bioinformation acquired within a first duration; derives correction terms based on the bioinformation after removal of the outliers of the bioinformation from pieces of bioinformation acquired within a second duration that is longer than the first duration; selects one or both of a first correction procedure and a second correction procedure based on the outlier level parameters, as a correction procedure, the first correction procedure using the correction terms, the second correction procedure involving interpolation irrelevant to the correction terms; and corrects the outliers of the bioinformation within the first duration by the selected correction procedure.

Abstract: A sleep stage estimation device includes a subject data acquisition unit that acquires pulsation data and body movement data of a subject, a sleep stage probability estimation unit that acquires a feature quantity sequence from the pulsation data and estimates a sleep stage probability sequence of the subject from the acquired feature quantity sequence by using a learned sleep stage probability estimation model, a sleep stage transition probability estimation unit that acquires a body movement amount sequence from the body movement data and estimates a sleep stage transition probability sequence of the subject from the acquired body movement amount sequence by using a learned sleep stage transition probability estimation model, and a sleep stage estimation unit that estimates a sleep stage sequence of the subject from the sleep stage probability sequence and the sleep stage transition probability sequence by using a learned conditional random field model.

Abstract: An identification device includes an acquirer for acquiring a captured image obtained by imaging a predetermined target, a specifier for specifying a linear region extending in a plurality of mutually different directions, from a region of the captured image acquired by the acquirer, the region including the predetermined target, and an extractor for extracting a feature quantity based on the pixel value, from the linear region specified by the specifier.

Abstract: An autonomous mobile apparatus includes a controller, an image acquirer, an inertia measurer, a distance measurer, and a storage. The controller updates environment map information stored in the storage. The controller estimates a height from a reference surface, based on an image obtained by the image acquirer. The inertia measurer detects an amount of fluctuation of the height. The distance measurer detects whether or not the bottom portion of the autonomous mobile apparatus is in contact with an object. The controller, if having detected a change in height equal to or larger than a reference from information obtained from the image acquirer, the inertia measurer, or the distance measurer, stops updating the environment map information or deletes the environment map information.

Abstract: A bioinformation acquiring apparatus includes at least one processor; and a memory configured to store a program to be executed in the processor. The processor acquires bioinformation in a chronological order; derives outlier level parameters, the outlier level parameter indicating a level of inclusion of outliers of the bioinformation in pieces of bioinformation acquired within a first duration; derives correction terms based on the bioinformation after removal of the outliers of the bioinformation from pieces of bioinformation acquired within a second duration that is longer than the first duration; selects one or both of a first correction procedure and a second correction procedure based on the outlier level parameters, as a correction procedure, the first correction procedure using the correction terms, the second correction procedure involving interpolation irrelevant to the correction terms; and corrects the outliers of the bioinformation within the first duration by the selected correction procedure.

Abstract: A bioinformation acquiring apparatus includes at least one processor and a memory configured to store a program to be executed in the processor.

Abstract: A similar image display control apparatus includes a processor configured to acquire similar images obtained as a result of a similar image search with respect to a query image, set categories into which the acquired similar images are to be classified, determine, in a space having a prescribed number of dimensions that is no less than two, coordinates indicating a position of each category region in accordance with attributes of types equal in number to the number of dimensions, the category region being a region indicating one of the set categories, classify the acquired similar images into the set categories, and place the similar images, classified into each of the categories, within the category region positioned in a position as indicated by the determined coordinates and cause a display to display the placed similar images.

Abstract: Edges of layers are detected from an input image to create a boundary line candidate image that represents the detected edges. A luminance value of the input image is differentiated to create a luminance value-differentiated image that represents luminance gradient of the layers. An evaluation score image is created which is obtained by weighting calculation at an optimum ratio between a boundary line position probability image and the luminance value-differentiated image. The boundary line position probability image is obtained from the boundary line candidate image and an existence probability image that represents existence of a boundary line to be extracted. A route having the highest total evaluation score is extracted as the boundary line. According to such an image processing apparatus and image processing method, boundary lines of layers can be extracted with a high degree of accuracy from a captured image of a target object composed of a plurality of layers.

Abstract: An autonomous mobile apparatus includes a controller, an image acquirer, an inertia measurer, a distance measurer, and a storage. The controller updates environment map information stored in the storage. The controller estimates a height from a reference surface, based on an image obtained by the image acquirer. The inertia measurer detects an amount of fluctuation of the height. The distance measurer detects whether or not the bottom portion of the autonomous mobile apparatus is in contact with an object. The controller, if having detected a change in height equal to or larger than a reference from information obtained from the image acquirer, the inertia measurer, or the distance measurer, stops updating the environment map information or deletes the environment map information.

Abstract: The image processing apparatus includes a boundary line extraction means that extracts a boundary line of a layer from an input image obtained by capturing an image of a target object composed of a plurality of layers. The boundary line extraction means is configured to first extract boundary lines at upper and lower ends of the target object, limit a search range using the extracted boundary lines at the upper and lower ends to extract another boundary line, limit the search range using an extraction result of the other boundary line to extract still another boundary line, and then sequentially repeat similar processes to extract subsequent boundary lines.

Abstract: A diagnostic apparatus for diagnosing a disease using a captured image of an affected area, the apparatus including a memory configured to memorize the captured image; and a processor configured to process the memorized image memorized in the memory. The processor is configured to perform a highlighting process which includes separating the captured image into the brightness component and a color information component; separating the brightness component into a base component and a detail component; highlighting the separated brightness component; and adding a region to be diagnosed in the captured image to the highlighted brightness component while a specified color of the region to be diagnosed is maintained.

Abstract: Edges of layers are detected from an input image to create a boundary line candidate image that represents the detected edges. A luminance value of the input image is differentiated to create a luminance value-differentiated image that represents luminance gradient of the layers. An evaluation score image is created which is obtained by weighting calculation at an optimum ratio between a boundary line position probability image and the luminance value-differentiated image. The boundary line position probability image is obtained from the boundary line candidate image and an existence probability image that represents existence of a boundary line to be extracted. A route having the highest total evaluation score is extracted as the boundary line. According to such an image processing apparatus and image processing method, boundary lines of layers can be extracted with a high degree of accuracy from a captured image of a target object composed of a plurality of layers.

Abstract: A diagnostic apparatus for diagnosing a disease using a captured image of an affected area, the apparatus including a memory configured to memorize the captured image; and a processor configured to process the memorized image memorized in the memory. The processor is configured to perform a highlighting process which includes separating the captured image into the brightness component and a color information component; separating the brightness component into a base component and a detail component; highlighting the separated brightness component; and adding a region to be diagnosed in the captured image to the highlighted brightness component while a specified color of the region to be diagnosed is maintained.

Abstract: A diagnostic apparatus for diagnosing a disease using a captured image of an affected area includes an image-memorizing unit configured to memorize the captured image and a processing unit configured to process the captured image memorized in the image-memorizing unit. The processing unit includes a separating unit configured to separate the captured image into a brightness component and a color information component, an extracting unit configured to extract a region to be diagnosed based on the brightness component or the color information component of the captured image to highlight likeness of the region, and a highlighting unit configured to highlight the extracted region in accordance with the extracted likelihood V representing the likeness of the region.

Abstract: The invention provides a method of processing an image in a diagnostic apparatus 100 of diagnosing a disease using a captured image of an affected area, comprising: a memorizing step of memorizing the captured image (Step S12), and a processing step of processing the captured image memorized (Step S13), wherein in the processing step a region to be diagnosed is subjected to a highlighting process with a specified color thereof maintained.

Abstract: The invention provides a method of processing an image in a diagnostic apparatus 100 of diagnosing a disease using a captured image of an affected area, comprising: a separating step of separating the captured image into a brightness component and a color information component; and an extracting step of extracting a region to be diagnosed based on the brightness component or the color information component of the configured image to highlight likeness of the region.

Abstract: A maintenance method for a sputtering device includes the steps of: moving a cathode carriage to take a plurality of targets and a plurality of cathodes out of a vacuum chamber; operating a plurality of cathode rotating apparatuses to rotate the targets and the cathodes so as to cause the targets to face upwards; operating a plurality of cathode sliding apparatuses to move the targets and the cathodes located in places at high height to places at low height; removing the targets from the cathodes to attach a plurality of new targets to the cathodes; returning the targets and the cathodes to an original height thereof; returning the targets and the cathodes to original rotation angles; and putting the targets and the cathodes back into the vacuum chamber.