Abstract: There have been cases where transistors formed using oxide semiconductors are inferior in reliability to transistors formed using amorphous silicon. Thus, in the present invention, a semiconductor device including a highly reliable transistor formed using an oxide semiconductor is manufactured. An oxide semiconductor film is deposited by a sputtering method, using a sputtering target including an oxide semiconductor having crystallinity, and in which the direction of the c-axis of a crystal is parallel to a normal vector of the top surface of the oxide semiconductor. The target is formed by mixing raw materials so that its composition ratio can obtain a crystal structure.

Abstract: The present invention provides an adhesive resin composition that has excellent adhesiveness and durability, a method for bonding adherends, and an adhesive resin film. More specifically, the present invention relates to an adhesive resin composition containing more than 50 parts by mass and 99.5 parts by mass or less in a solid content of an acid-modified polyolefin resin having a melting point of 50 to 100° C., 0.

Abstract: An epoxy resin, comprising an epoxy compound having two or more mesogenic structures, and having a loss tangent of 1 or more at 35° C. before curing.

Abstract: A conversion parameter calculation method includes: obtaining, from an image capturing device, image data obtained by the image capturing device capturing an image of an object having attached thereto a marker with which specific coordinates are detectable; obtaining displacement direction information indicating a direction of a displacement of the object, the direction crossing an image capturing surface of the image capturing device; detecting specific coordinates, based on the marker included in the image data; estimating a position of the image capturing device, based on a result of the detection; calculating distance data indicating a distance from the image capturing device to the object, based on the position of the image capturing device; and calculating, using the distance data and the displacement direction information, a conversion parameter for converting a pixel displacement amount of the object into an actual displacement amount.

Abstract: A prediction device for predicting the growth direction of a crack that occurs in a subject includes: an obtainer that obtains video of the subject; a derivation unit that derives displacement of each of a plurality of regions in the obtained video; a selector that selects, from among the plurality of regions, two or more regions each having displacement similar to displacement of a reference region included in the plurality of regions; and an identification unit that identifies, as the growth direction, the longitudinal direction of a collective region made up of the two or more selected regions.

Abstract: An information processing method includes: obtaining training images generated by a camera shooting a target point and training parameters related to a position/orientation of the camera when shooting the training images; generating, using the training parameters as inputs, a model that outputs a first displacement amount by which a target block corresponding to the target point displaces from a reference position in the training images; obtaining measurement images generated by the camera shooting the target point and measurement parameters related to the position/orientation of the camera when shooting the measurement images; obtaining a second displacement amount, output by inputting the measurement parameters into the model, by which a target block corresponding to the target point appearing in the measurement images displaces from a reference position in the measurement images; and outputting a displacement obtained by subtracting the second displacement amount from displacement of the target block in th

Abstract: A measurement method, which is performed by a measurement device that measures a displacement of a target object, includes: receiving designation of a designation point on a first image that includes the target object; setting a plurality of set points, based on the designation point; identifying a direction of a line that connects two of the plurality of set points; generating a second image by rotating the first image, the second image being an image in which the identified direction of the line is horizontal or vertical; setting, in the second image, a measurement region that partially includes the line; and measuring the displacement of the target object in the measurement region, the displacement being a displacement in a direction orthogonal to the line.

Abstract: A displacement measurement device includes: an obtainer that obtains a first image which contains a subject and a second image which contains the subject; a generator that generates M template images which contain the subject and which have noise from the first image and generates M target images which contain the subject and which have noise from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.

Abstract: A conversion parameter calculation method includes: obtaining, from a first image capturing device, first image data obtained by the first image capturing device capturing an image of an object; obtaining, from a second image capturing device, second distance data indicating a distance to the object, and second image data obtained by the second image capturing device capturing an image of the object; obtaining displacement direction information indicating a direction of a displacement of the object in three dimensions; associating positions on the object in the first image data and the second image data; estimating a position of the first image capturing device; calculating first distance data indicating a distance from the first image capturing device to the object; and calculating a conversion parameter for converting a pixel displacement amount of the object into the actual displacement amount, using the first distance data and the displacement direction information.

Abstract: A conversion parameter calculation method includes: obtaining, from an image capturing device, image data obtained by the image capturing device capturing an image of an object having attached thereto a marker with which specific coordinates are detectable; obtaining displacement direction information indicating a direction of a displacement of the object, the direction crossing an image capturing surface of the image capturing device; detecting specific coordinates, based on the marker included in the image data; estimating a position of the image capturing device, based on a result of the detection; calculating distance data indicating a distance from the image capturing device to the object, based on the position of the image capturing device; and calculating, using the distance data and the displacement direction information, a conversion parameter for converting a pixel displacement amount of the object into an actual displacement amount.

Abstract: A displacement measurement device includes: a first machine learning model trained to generate, from one image which contains a subject and has noise, at least one image which contains the subject and which has noise or has had noise removed; a first obtainer that obtains a first image which contains the subject and has noise and a second image which contains the subject and has noise; a first generator that, using the first machine learning model, generates M template images containing the subject from the first image and generates M target images containing the subject from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.

Abstract: An information presentation method according to the present disclosure includes: acquiring two or more monochrome images obtained by image-capturing a structure using a monochrome camera and one or more first color images obtained by image-capturing the structure using a color camera, the one or more first color images having a less amount of information than an amount of information of the two or more monochrome images; detecting a displacement that indicates a movement of the structure based on the two or more monochrome images; generating presentation information that includes one or more second color images that present information that indicates the displacement based on the two or more monochrome images and the one or more first color images; and outputting the presentation information.

Abstract: An imaging parameter output method is a method of outputting an imaging parameter of an imaging device that captures an image for measuring a displacement representing a movement of an object. The imaging parameter output method includes: obtaining object information identifying the object, and a geometric imaging condition for imaging the object; calculating the imaging parameter including a candidate imaging area for placing the imaging device and the accuracy in measuring the displacement in the candidate imaging area, based on the object information and the geometric imaging condition, without imaging the object using the imaging device; and outputting the imaging parameter.

Abstract: An optical scanning device includes a mirror that includes a mirror reflection surface, and torsion bars that support the corresponding sides of the mirror and cause the mirror to rotate. The torsion bars are formed of a silicon active layer whose surface is exposed.

Abstract: A component ordering system that is efficient in component ordering work is provided, in which component ordering information read from a Kanban is transmitted to a server so that the server transmits the component ordering information to a component supplier. A bar-code reading device determines whether the component ordering information is registered in the server based on reply information transmitted from a server in response to information transmitted to the server after the Kanban is inserted into a Kanban insertion slot. When it is determined that the component ordering information is not registered in the server, the bar-code reading device notifies that the component ordering information is not registered while holding the Kanban without discharging it to the Kanban receiving part. Thus, it is possible to maintain reliability in component order as well as to improve efficiency in component ordering work.

Abstract: An observation method includes: displaying video of a subject; receiving designation of at least one point in the video; determining an area or edge in the video based on the point; setting, in the video, observation point candidates in the area or on the edge; evaluating an image of each observation block candidate having a center point that is a corresponding observation point candidate, eliminating any observation point candidates not satisfying conditions, and setting remaining observation point candidates to a plurality of observation points; and observing a movement of the subject itself applied with an certain external load at each observation point. The conditions are that (i) the subject is in a corresponding observation block candidate, (ii) image quality of the observation block candidate is good without temporal deformation or blur, (iii) a displacement of the observation block candidate is not greater than that of any other observation block candidates.

Abstract: A prediction device for predicting the growth direction of a crack that occurs in a subject includes: an obtainer that obtains video of the subject; a derivation unit that derives displacement of each of a plurality of regions in the obtained video; a selector that selects, from among the plurality of regions, two or more regions each having displacement similar to displacement of a reference region included in the plurality of regions; and an identification unit that identifies, as the growth direction, the longitudinal direction of a collective region made up of the two or more selected regions.

Abstract: A detection device includes an acquirer that acquires a video of each of a plurality of bearings of a structure including the plurality of bearings, an extractor that extracts a dynamic feature corresponding to a plurality of degrees of freedom of each of the plurality of bearings based on the video, and an identifier that identifies, among the plurality of bearings, a bearing whose dynamic feature fails to match a dynamic feature of one or more other bearings of the plurality of bearings.

Abstract: A displacement measurement device includes: an obtainer that obtains a first image which contains a subject and a second image which contains the subject; a generator that generates M template images which contain the subject and which have noise from the first image and generates M target images which contain the subject and which have noise from the second image, M being an integer of 2 or higher; a hypothetical displacement calculator that calculates M hypothetical displacements of the subject from the M template images and the M target images; and a displacement calculator that calculates a displacement of the subject by performing statistical processing on the M hypothetical displacements.

Abstract: An inspection device includes: an obtainer that obtains at least one captured image of a plurality of sound insulation plates; a deriver that derives a displacement of each of the plurality of sound insulation plates in the image; and an extractor that, based on the displacements of the plurality of sound insulation plates, extracts, from the plurality of sound insulation plates, a sound insulation plate of interest that moves differently from another sound insulation plate included in the plurality of sound insulation plates.