Abstract: An ultrasound flaw detector includes: an ultrasound probe that is provided with a plurality of transducers and that is held so that a direction in which the transducers are arrayed is parallel to a surface of the test object in a state where the plurality of transducers is located in the liquid; a hardware processor that, using the plurality of transducers, transmits an ultrasound beam in a first direction with a predetermined angle with respect to a normal direction of the surface of the test object and receives a reflected ultrasound wave reflected by the test object; and an ultrasound signal processor that specifies a flaw of the test object on the basis of a reception signal that has been generated by the hardware processor on the basis of the reflected ultrasound wave.

Abstract: An image inspection device includes a processor coupled to a sensor. The processor reads, using the sensor, an image formed on a recording material by an image forming device and creates a read image; causes an analysis to detect an abnormality in the read image and creates an analysis result; and creates a normal image file including the read image in which the abnormality has not been detected based on the analysis result.

Abstract: A remote lesson support system that supports a remote lesson in which a plurality of learners participates via a network, includes: a first terminal operated by a first learner; a second terminal operated by a second learner; and a server that is communicably connected to the first terminal and the second terminal and provides an environment of the remote lesson, wherein the server includes a processing device that sets a secret mode that restricts information of the first learner from being provided to the second terminal.

Abstract: A recording material determination device, includes: a conveyor that conveys recording materials along a conveyance path; a detector that is provided at a middle of the conveyance path, and detects a characteristic value of each of the recording materials in conveyance; and a hardware processor that controls driving of the conveyor, stops a first recording material among the recording materials at the detector, and does not stop a second recording material that is conveyed after the first recording material, wherein the hardware processor determines whether the second recording material changes with respect to the first recording material, based on a first characteristics detection result of the first recording material detected by the detector, and on a second characteristics detection result of the second recording material detected by the detector.

Abstract: A business matching support device includes: a hardware processor that: acquires company information of a company searching for a matching candidate destination; extracts a phrase relating to the company from the company information; creates a search keyword group by excluding a phrase included in information on a competitor of the company from a plurality of the extracted phrases; and searches a predetermined database using the search keyword group to extract the matching candidate destination.

Abstract: A processing system includes a hardware processor. The hardware processor obtains first read data of a sample image for image data included in user desired job data for image formation, searches job data stored in a storage section for data of a similar image to an image included in the obtained first read data to detect the data of the similar image, outputs a list of the detected data of the similar image, causes an image forming apparatus to form an image based on selected data selected from the data included in the list, obtains second read data of the formed image, and performs color adjustment on the selected data based on the first read data and the second read data.

Abstract: In the first composite step, a plurality of images is superimposed. In the second composite step, a plurality of images of a second surface of the plurality of components is superimposed. In a first detection step, a feature amount of the first surface is detected using the plurality of images superimposed in the first composite step. In a second detection step, a feature amount of the second surface corresponding to the plurality of areas of the first surface is detected using the plurality of images superimposed in the second composite step. A difference in the feature amounts between each area of the first surface and each area of the second surface corresponding to each area of the first surface is calculated. In the determination-area decision step, an area where the difference in the feature amounts calculated in the calculation step is greater than a predetermined value is decided.

Abstract: A profiling apparatus includes: a holder rotationally moves around a first fulcrum, and holds a subject; a balancer rotationally moves around a second fulcrum, an intermediate part coupled to holder part and balancer, expands and contracts in a coupling direction, and bends in a direction orthogonal to the coupling direction, in which a position of the first fulcrum, a first gravity center position, a bending position, and a second gravity center position are aligned in this order. The first gravity center position corresponds to a gravity center of a part, which rotationally moves around the first fulcrum, of the subject and the holder in a case where the subject is held. The bending position corresponds to a bending point of the intermediate part. The second gravity center position corresponds to a gravity center of a part, which rotationally moves around the second fulcrum, of the second fulcrum position and balancer.

Abstract: A dynamic image analysis apparatus includes a hardware processor and a display. The hardware processor performs tagging for classifying. The hardware processor extracts a feature amount from frame images and calculates a change amount in a time direction of the feature amount. When a second dynamic image is input, the hardware processor selects an extractable feature amount from a related dynamic image which is the first dynamic image determined to be related with the second dynamic image, the first dynamic image and the second dynamic image. The display is capable of displaying a change over time in the frame images included in one occasion of imaging of the dynamic image, the change over time between the second dynamic image and the selected related dynamic image and the change over time between the feature amount extracted from the second dynamic image and the feature amount extracted from the related image.

Abstract: A display system includes a hardware processor and a display that has a display screen and presents a display on the display screen on the basis of control exerted by the hardware processor. In a case of causing a thumbnail related to consecutive images sequentially acquired using X-rays at a plurality of different times to be displayed on the display screen, the hardware processor selects, as the thumbnail, an image in accordance with a setting previously determined for the consecutive images. An image other than a leading image of the consecutive images is included in the thumbnail.

Abstract: A pressure variation suppressor includes: a liquid flow chamber through which liquid flows, the liquid flow chamber having an inlet through which the liquid flows in and an outlet through which the liquid flows out; and a flexible film that partitions the liquid flow chamber into a storage chamber in which the liquid is stored and a non-storage chamber in which the liquid is not stored, wherein the flexible film is slack in a state where the liquid flows through the liquid flow chamber.

Abstract: Provided is an inkjet head containing: a substrate having a nozzle hole, and a nozzle plate having a liquid repellent layer on an outermost surface of the substrate on an ink discharge surface side, wherein the nozzle plate has a conductive layer between the substrate and the liquid repellent layer.

Abstract: Provided is a maintenance device that performs maintenance of a recording head with a nozzle face on which an opening of a nozzle for ink discharge is provided. The maintenance device includes a scraper that scrapes ink that adheres to the nozzle face, and an ink receiver that receives ejected ink that is ejected through the nozzle and scraped ink that is scraped off by the scraper. The ink receiver includes a first face and a second face that are each inclined with respect to a horizontal plane. The ink receiver receives the ejected ink at least on the first face of the first face and the second face, and receives the scraped ink on the second face. A flowability of ink on the second face is greater than a flowability of ink on the second face.

Abstract: A flicker measuring device of the present invention: receives light emitted from an object to be measured and outputs a light reception signal corresponding to an amount of received light; acquires the output light reception signal a plurality of times from a measurement start time point to a steady time point at which the object to be measured is in a steady state, obtains a flicker value of the object to be measured for each of the plurality of times on the basis of the acquired light reception signal, and stores the flicker value obtained for each of the plurality of times in a storage in association with an acquisition time point of the light reception signal; and performs an arithmetic processing of obtaining a flicker shift time by using each flicker value stored, in which in the arithmetic processing, an amount of overall change is obtained that is an amount of change of the flicker value from the initial flicker value to the steady flicker value, a predetermined ratio time point is obtained at which a

Abstract: A method for supporting online dialogue includes: receiving, by a computer, an utterance to a second speaker from a first speaker in an online dialogue; converting, by the computer, a voice of the utterance into a character string; analyzing, by the computer, the utterance; accessing, by the computer, a database having one or more utterance examples on a basis of a result of the analysis; extracting, by the computer, a desirable response as a response to the utterance by the first speaker from the one or more utterance examples on a basis of the utterance of the first speaker; and outputting, by the computer, the extracted utterance example to the second speaker.

Abstract: An ultrasound diagnostic apparatus including: a transmitter; a hardware processor; a receiver; and an image generator. A first drive signal includes a third drive signal and a fourth drive signal. A second drive signal includes a fifth drive signal that is offset when the fifth drive signal and the third drive signal are added, and a sixth drive signal that generates an offset residual when the sixth drive signal and the fourth drive signal are added. The hardware processor causes the transmitter to provide a time delay to the first drive signal and the second drive signal so that the transmission ultrasound focuses to a same focal point, output the third drive signal and the fifth drive signal to the first transducer group, and output the fourth drive signal and the sixth drive signal to the second transducer group.

Abstract: Disclosed is an image judgment device including a hardware processor that functions as an image acquirer that acquires image data of a medical image that is obtained by radiographing of a part including a region to be diagnosed of a patient, a segmentation unit that extracts an anatomical structure from the medical image to generate an extracted image, an image converter that performs image conversion on the extracted image to generate a converted image; a feature value extractor that calculates a feature value from the extracted image and/or the converted image by using a result of machine learning; and a judgment unit that judges whether the medical image is taken with positioning appropriate for diagnosis based on the feature value by using a result of machine learning concerning feature values.

Abstract: An image forming apparatus includes: as a conveyance to convey an object formed with an image, an upstream-side conveyance path; an intermediate conveyance path connected to a downstream end part of the upstream-side conveyance path via a first bent part; and a downstream-side conveyance path connected to the intermediate conveyance path via a second bent part, wherein the second bent part is bent to a side opposite to the first bent part, on an inner side of a bend of the first bent part, a friction reducing part capable of abutting with the object conveyed in the first bent part is provided, and the intermediate conveyance path includes: a pair of guide parts forming the intermediate conveyance path; and a friction reducing part that is provided on both a pair of the guide parts and is capable of abutting with the object conveyed between a pair of the guide parts.

Abstract: An image former includes: an inkjet head; a plurality of ink storages that is connected to the inkjet head and stores ink; a pressure generator that generates a difference in internal pressure between the plurality of ink storages so that ink flows between the plurality of ink storages and the inkjet head; and a storage communicator that causes the plurality of ink storages to communicate with each other so that the difference in internal pressure decreases.

Abstract: This learning device is provided with: a simulation execution unit that, by using electromagnetic field analysis simulation, determines a reflected wave spectrum obtained when electromagnetic waves are emitted from a reader to an identification target; and a machine learning unit that, by using training data in which the reflected wave spectrum calculated by the simulation execution unit and an attribute thereof are defined as a set, performs a training process on a learning model by machine learning. The simulation execution unit generates a plurality of the reflected wave spectra belonging to the same attribute by variously changing various parameters related to the identification target from reference parameters. The machine learning unit performs a training process on the learning model by machine learning by using, as training data, the plurality of reflected wave spectra obtained for each attribute.