Abstract: An information processing device of the present invention is capable of collaboration with a learning device to determine whether an image group that has been obtained in time series by the first endoscope is an image group obtained at a first time or at a second time, and to create a first inference model for image feature determination of images for the first endoscope by performing learning with results of having performed annotation on the image group that was obtained at the second time as training data, the information processing device comprising at least one or a plurality of classifying processors that classify image groups constituting training data candidates, within an image group from the first endoscope that has been newly acquired, or an image group from a second endoscope, using the image group that has been obtained at the first time, when the first inference model was created.

Abstract: An inference learning device, comprising an input device for inputting data from a data acquisition device, a learning device for obtaining an inference model by learning using training data that has been obtained by performing annotation of the data, and a data processing device that, for data that has been obtained continuously in time series from the data acquisition device, makes provisional training data by performing the annotation on a plurality of items of data that have been obtained from data that was obtained at a given first time to a second time that has been traced back to a predetermined time, and makes data, among the provisional training data that has a high correlation of causal relationship with the data of the first time, into adopted training data, which is training data used in the learning device.

Abstract: A training data collection request device, having a communication circuit receives information relating to symptoms of a specified patient, and a processor specifies a device that is capable of acquiring previous time series data of the patient, wherein the processor acquires, for another person who is using the similar type of device to the device that was specified, data and consultation information that has been collected using the similar type of device to create the training data.

Abstract: An image processing apparatus includes an inference part which is capable of inference by using a first inference model for finding of a specific target object and by using a second inference model for discrimination about the specific target object and a control unit to which a first picked-up image obtained under a first image pickup condition and a second picked-up image obtained under a second image pickup condition different from the first image pickup condition can be inputted and which performs control such that in a case where the first picked-up image is inputted, the inference part is caused to execute inference by using the first inference model, and in a case where the second picked-up image is inputted, the inference part is caused to execute inference by using the second inference model.

Abstract: A saddle riding vehicle includes a light emitting device (15, 23), an object information acquisition device (17, 26), a control board (20) and an accommodating case (14). The light emitting device (15, 23) radiates light to an outer side of the vehicle, and the object information acquisition device (17, 26) acquires information of an object outside the vehicle. The control board (20), to which the light emitting device (15, 23) is attached, controls the light emitting device. The accommodating case (14) accommodates the light emitting device (20), the object information acquisition device (17, 26), and the control board (20). The object information acquisition device (17, 26) is supported by the control board (20).

Abstract: A user guide method, comprising determining a reference area according to user behavior and target events the user is interested in, acquiring a reference target event heat map representing distribution of the target events within the reference area for a specified time point, and estimating conditions of a target event at a time when time has passed from the specified time, by referencing the reference target event heat map, and a database that shows chronological change of previous heat maps for the same or similar areas.

Abstract: A saddle riding vehicle includes a light emitting device (15, 23), an object information acquisition device (17, 26), a control board (20) and an accommodating case (14). The light emitting device (15, 23) radiates light to an outer side of the vehicle, and the object information acquisition device (17, 26) acquires information of an object outside the vehicle. The control board (20), to which the light emitting device (15, 23) is attached, controls the light emitting device. The accommodating case (14) accommodates the light emitting device (20), the object information acquisition device (17, 26), and the control board (20). The object information acquisition device (17, 26) is supported by the control board (20).

Abstract: A dialog processing server is configured by including a relay unit which communicates with each of a first information processing terminal and a second information processing terminal, each serving as a portable or vehicle-mounted terminal and including an input/output interface unit with an artificial intelligence provided outside, and a determination unit which determines whether or not a predetermined dialog condition is established, in which between the artificial intelligence with which the first terminal communicates and the artificial intelligence with which the second terminal communicates, dialog contents respectively generated by the artificial intelligences can be transmitted and received when the dialog condition is established.

Abstract: Provided are: a glass substrate that achieves a high strain point while having a low devitrification temperature; and a method for producing said glass substrate. This glass substrate for a display is made of a glass comprising SiO2 and Al2O3, comprising 0% or more to less than 3% B2O3 and from 5 to 14% BaO in mass %, and substantially devoiding Sb2O3, wherein the devitrification temperature is 1235° C. or lower and the strain point is 720° C. or higher. Alternatively, this glass substrate for a display is made of a glass comprising SiO2 and Al2O3, comprising 0% or more to less than 3% B2O3, 1.8% or more MgO, and from 5 to 14% BaO in mass %, and substantially devoiding Sb2O3, wherein (SiO2+MgO+CaO)—(Al2O3+SrO+BaO) is less than 42%, the devitrification temperature is 1260° C. or lower, and the strain point is 720° C. or higher.

Abstract: A glass substrate that achieves a high strain point while having a low devitrification temperature; and a method for producing the glass substrate. This glass substrate for a display is made of a glass comprising SiO2 and Al2O3, comprising 0% or more to less than 4% B2O3 in mass %, and substantially devoiding Sb2O3, wherein 3×BaO/(MgO+CaO+SrO) is 5 or less, MgO/(CaO+SrO) is 0.36 or greater, the devitrification temperature is 1235° C. or lower, and the strain point is 700° C. or higher. The method comprises: melting, by using at least direct electrical heating, a glass material prepared to have a predetermined composition; forming, into a flat glass sheet, the molten glass that has been melted in the melting step; and annealing the flat glass sheet, wherein a condition for cooling the flat glass sheet is controlled so as to reduce the heat shrinkage rate of the flat glass sheet.

Abstract: The present invention provides a server apparatus for transmitting information for requesting support to an information terminal mounted in a moving object, the apparatus comprising: a management unit configured to manage a plurality of pieces of information each including a support location; a reception unit configured to receive current position information of the moving object from the information terminal; a selection unit configured to select, based on the current position information received by the reception unit, among the plurality of pieces of information, information indicating that a positional relationship between a current position of the moving object and the support location satisfies a predetermined condition; and a transmission unit configured to transmit the information selected by the selection unit to the information terminal.

Abstract: An image processing apparatus is disclosed which processes noise resulting from a defective pixel different from a low saturation pixel, included in image data generated by an image sensor including a plurality of pixels two-dimensionally arranged to receive light from outside and generate a signal according to an amount of received light and including a plurality of read-out circuits that read out the signal as a pixel value. The image processing apparatus includes an acquisition unit that obtains the image data generated by the image sensor and a saturation level of each of the plurality of pixels; and a noise processing unit that processes the noise on the basis of the saturation level obtained by the acquisition unit.

Abstract: An image processing apparatus includes: a pixel value group creation unit configured to create, for a plurality of pieces of image data generated by an image sensor including: a plurality of pixels arranged two-dimensionally to receive light from outside and generate a signal corresponding to an amount of the received light; and a plurality of read-out circuits shared by a predetermined number of pixels and configured to read out the signal as pixel values, a plurality of pixel value groups by classifying the pixel values for each of the plurality of read-out circuits; and a noise determination unit configured to determine whether blinking defect noise occurs in each of the plurality of pixel value groups, based on distribution of the pixel values of each of the plurality of pixel value groups created by the pixel value group creation unit.

Abstract: An image processing apparatus processes noise from a defective pixel in image data generated by an image sensor including plural pixels, and plural read-out circuits that read out the signal. The apparatus includes an acquisition unit that obtains the image data and position information of the defective pixel; a defective pixel correction unit that corrects the signal from the defective pixel included in the image data, based on the position information; a low saturation pixel correction unit that corrects a signal from a low saturation pixel included in the image data where the signal from the defective pixel has been corrected, the low saturation pixel having a saturation level lower than the other pixels, based on a preliminarily calculated saturation level of the plural pixels; and a saturation level calculation unit that calculates the saturation level of the defective pixel corrected by the defective pixel correction unit.

Abstract: To provide a brake piping structure for saddled vehicle which can reduce the number of restraining members used for brake piping and allow brake piping to avoid interfering with other parts. The brake piping structure for saddled vehicles includes a pair of left and right rear frames connected to a rear portion of a vehicle body frame of a saddled vehicle and supporting a seat, a swing arm swingably supported, via a pivot, by the vehicle body frame, and brake piping which conveys hydraulic pressure generated by an ABS modulator to a rear brake caliper for a rear wheel. The ABS modulator is disposed between the pair of left and right rear frames. The brake piping extends from the ABS modulator forward and downward of the vehicle body along the rear frame and is, by being curved rearward of the vehicle body in front of the pivot and then by being routed under the swing arm, connected to the rear brake caliper.

Abstract: An image processing apparatus executes plural corrections for plural types of noises having mutually different characteristics included in image data generated by an image sensor including plural pixels, and including plural read-out circuits that read out the signal of each pixel as a pixel value. The apparatus includes a noise correction unit executable of the plural types of correction processes in an order determined based on the characteristic of each of the plural types of noises and a signal generating process from a light reception through an output of pixel values from the pixel. The noise correction unit classifies the plural types of correction processes into plural groups, on the basis of the characteristic of each of the plural types of noises, and executes the plural types of correction processes in an order determined in accordance with the plural groups and the signal generation process.

Abstract: An image processing device includes: an acquisition unit configured to acquire image data generated by an imaging element including sharing blocks, each including multiple adjacent pixels configured to generate signals according to amounts of light received externally and one read circuit; an offset calculator configured to, based on the acquired image data and using pixel values of pixels in a sharing block of interest that is one of the multiple sharing blocks and pixel values of pixels outside the sharing block of interest, detect an offset component of a pixel value occurring in the sharing block of interest; and a corrector configured to calculate a correction amount to correct a pixel value of at least one pixel in the sharing block of interest based on the offset component and use the correction amount to correct a pixel value of at least one pixel in the sharing block of interest.

Abstract: An image processing apparatus includes: an acquisition unit configured to obtain image data generated by an image sensor forming an array pattern using color filters having mutually different spectral transmittances and to obtain a correction coefficient for correcting a difference between pixel values corresponding to a difference between a spectral sensitivity and a preset reference spectral sensitivity in a wavelength range in a pixel-of-interest; a correction amount calculation unit configured to calculate an estimation value of a color component in the pixel-of-interest using a pixel value of each of pixels in surrounding pixels of a same color and the correction coefficient and configured to calculate a correction amount of the pixel value of the pixel-of-interest based on the estimation value and the correction coefficient of the pixel-of-interest; and a pixel value correction unit configured to correct the pixel value of the pixel-of-interest based on the calculated correction amount.

Abstract: A focus control device includes a processor including hardware, the processor being configured to implement: an area setting process that sets a plurality of areas to a captured image that has been captured by an imaging section, each of the plurality of areas including a plurality of pixels; a direction determination process that determines whether a target in-focus position lies in a NEAR direction or a FAR direction with respect to a reference position with respect to some or all of the plurality of areas set to the captured image to calculate a direction determination result with respect to each of the plurality of areas, the target in-focus position being a target of an in-focus object plane position; and a focus control process that preferentially brings an area among the plurality of areas that is situated away from the imaging section into focus based on the direction determination result.

Abstract: A dialog processing server is configured by including a relay unit which communicates with each of a first information processing terminal and a second information processing terminal, each serving as a portable or vehicle-mounted terminal and including an input/output interface unit with an artificial intelligence provided outside, and a determination unit which determines whether or not a predetermined dialog condition is established, in which between the artificial intelligence with which the first terminal communicates and the artificial intelligence with which the second terminal communicates, dialog contents respectively generated by the artificial intelligences can be transmitted and received when the dialog condition is established.