Abstract: In accordance with an embodiment, an information processing apparatus receives printing media type information indicating a type of printing media on which images are to be printed. The information processing apparatus causes a display device to display printer information indicating each of one or more printers satisfying a condition related to the type on the basis of the received printing media type information.

Abstract: Provided is a technique that can suitably form a cut line. According to one embodiment, an image forming device includes a line information generation unit and an image forming unit. The line information generation unit generates line information representing a cut line to cut out a main image formed on a recording medium. The image forming unit forms the main image with a non-decolorable material on the recording medium and forms the cut line represented by the line information with a decolorable material on the recording medium. The line information generation unit changes a level of curving of a curve included in the cut line, according to the recording medium.

Abstract: An automatic brake control apparatus to be applied to a vehicle is configured to: detect, with an ultrasonic sensor, a position of an obstacle on reverse travel of the vehicle, in which the ultrasonic sensor is disposed in a rear part of the vehicle; set a brake operation area on plane coordinates corresponding to the detected position by the ultrasonic sensor; and actuate an automatic brake. The brake operation area includes a low-speed operation area and a high-speed operation area. The low-speed operation area is set on the reverse travel at a lower speed than a setting vehicle speed, and the high-speed operation area is set on the reverse travel at a higher speed than the setting vehicle speed. The high-speed operation area is wider than the low-speed operation area at least in a vehicle widthwise direction.

Abstract: A recording medium stores a program for causing a computer to execute a process including: managing data to be used for processing of machine learning by a layered data structure of layers; displaying a display screen including a first display area that is made common to tasks in which designation of any one among one or more layer data groups included in each layer is received for the each layer, and a second display area that is an area for displaying lowermost layer data specified by designation of each layer data group and in which a display method is editable; holding definition information including a display method of each piece of the lowermost layer data in the second display area; and when lowermost layer data is designated, performing display in the second display area in accordance with the definition information based on the designated lowermost layer data.

Abstract: A non-transitory computer-readable recording medium stores an execution control program for causing a computer to execute a process including: storing, for each of a plurality of commands common to a plurality of user interfaces, a function definition that defines processing to be executed in response to each of the plurality of commands with a combination of one or more classes among classes of a plurality of types; receiving an input of a specific command among the plurality of commands; and processing the specific command with the combination of the one or more classes defined by the function definition that corresponds to the received specific command.

Abstract: A non-transitory computer-readable recording medium stores a setting program for causing a computer to execute a process including: accepting designation of a first setting value for an entirety of a plurality of hyperparameters included in a machine learning model and designation of one or more second setting values that respectively indicate differences with respect to the first setting value; and causing a plurality of hyperparameter groups generated based on the first setting value that has been designated and the second setting values that have been designated to be set in the machine learning model.

Abstract: A speech recognition method, performed by a computer, with an improved recognition accuracy is disclosed. The method includes: performing speech recognition of an input speech to acquire a plurality of recognition candidates through a plurality of speech recognition processes different from each other for a section having a reliability lower than a predetermined value; verifying similarities between each of the acquired plurality of recognition candidates and meta-information corresponding to the input speech; and determining, based on the verified similarities, a recognition result of the low-reliability section from among the acquired plurality of recognition candidates.

Abstract: A storage medium storing an editing support program that causes at least one computer to execute a process, the process includes: when a first editing process that edits an identification result of a speaker occurs and respective speakers of sections that are adjacent are common due to the first editing process, displaying the sections in a combined state; and when a start point of a section to be subject to a second editing process that edits the identification result of the speaker is specified in a specific section within the combined sections and a location that corresponds to a start point of the sections before being combined is present between the specified start point and an end point of the combined sections, applying the second editing process to a section from the specified start point to the location that corresponds to the start point of the sections.

Abstract: A speech recognition method causes a computer to execute a speech recognition process. The process includes: extracting features of noise or unwanted sound included in speech data to be recognized; performing, for the speech data, a suppression process for each of the extracted features of noise or unwanted sound among suppression processes for respective features of noise or unwanted sound; and performing speech recognition for the speech data after the suppression process is performed.

Abstract: A character recognition method for a moving image includes extracting a region corresponding to a character string included in each frame of a moving image to be recognized. The method reads a character string from the extracted region and corrects the character string read from each frame, based on appearance rule information that specifies an appearance rule of a character string corresponding to the order of the frames, such that the appearance order of the read character string conforms to the appearance rule.

Abstract: In this reagent composition for measuring the pH of test water, methyl red with an acid dissociation constant (pKa) of 5.1, phenol red with a pKa of 7.7 which is greater than that of methyl red, and bromocresol purple with a pKa of 6.3 which is between those of methyl red and phenol red are dissolved at prescribed ratios in a diol, such as ethylene glycol. With respect to test water to which the reagent composition has been added, absorbances at three wavelengths of a wavelength selected from a range of from 410 to 430 nm, a wavelength selected from a range of from 515 to 535 nm, and a wavelength selected from a range of from 580 to 600 nm are measured, and the pH of the test water is determined based on the absorbances. In this way, it is possible to measure the pH of the test water in a range of from 4 to 9.

Abstract: A reagent composition prepared by dissolving, in a diol such as ethylene glycol, prescribed ratios of methyl red with an acid dissociation constant (pKa) of 5.1, phenol red with a pKa of 7.7 which is greater than that of methyl red, and bromocresol purple with a pKa of 6.3 which is between those of methyl red and phenol red is added to test water. With respect to the test water to which the reagent composition has been added, absorbances at three wavelengths of a wavelength selected from a range of from 410 to 430 nm, a wavelength selected from a range of from 515 to 535 nm, and a wavelength selected from a range of from 580 to 600 nm are measured, and the pH of the test water is determined based on the absorbances. In this way, it is possible to measure the pH of the test water in a range of from 4 to 9.

Abstract: An apparatus generates first context data representing a context of correction target text based on the correction target text, and corrects an error in the correction target text by inputting a character string of the correction target text, the generated first context data, and meta-information corresponding to the correction target text to a neural network that has been trained to correct an error in the correction target text by inputting a character string of text corresponding to training data, second context data representing a context of the text, and meta-information of the text.

Abstract: According to one embodiment, an image processing apparatus includes an image reading device, a storage device, and a control unit. The image reading device reads an image on a sheet. The storage device stores information. The control unit that determines a detection area of an encoded image based on a teacher image which is an image read from a predetermined teacher sheet by the image reading device, records information indicating the detection area in the storage device, detects an encoded image in the detection area among the images read from a sheet to be read after the teacher sheet, and decodes the detected encoded image.

Abstract: In accordance with an embodiment, the image forming apparatus comprises a display section, a connection section and a controller. The connection section connects with a device having a storage section. The controller detects connection and disconnection with the connection section and does not display a first screen displayed on the display section due to the connection with the device if the disconnection is detected.

Abstract: A semiconductor device, includes: a first semiconductor chip including: a first substrate; a first via; a first rear surface-side pad connected to the first via; a first wiring layer; a first front surface-side pad formed on the first wiring layer; and an input circuit formed in the first substrate, an input signal wire connecting the first via, the first front surface-side pad, and an input terminal of the input circuit; and a second semiconductor chip including: a second substrate; a second wiring layer; a second front surface-side pad; and an output circuit formed in the second substrate, an output signal wire connecting the second front surface-side pad to an output terminal of the output circuit. The second semiconductor chip is stacked on a rear surface side of the first semiconductor chip, and the first rear surface-side pad and the second front surface-side pad are connected.

Abstract: An apparatus generates first context data representing a context of correction target text based on the correction target text, and corrects an error in the correction target text by inputting a character string of the correction target text, the generated first context data, and meta-information corresponding to the correction target text to a neural network that has been trained to correct an error in the correction target text by inputting a character string of text corresponding to training data, second context data representing a context of the text, and meta-information of the text.

Abstract: A speech recognition method causes a computer to execute a speech recognition process. The process includes: extracting features of noise or unwanted sound included in speech data to be recognized; performing, for the speech data, a suppression process for each of the extracted features of noise or unwanted sound among suppression processes for respective features of noise or unwanted sound; and performing speech recognition for the speech data after the suppression process is performed.

Abstract: A character recognition method for a moving image includes extracting a region corresponding to a character string included in each frame of a moving image to be recognized. The method reads a character string from the extracted region and corrects the character string read from each frame, based on appearance rule information that specifies an appearance rule of a character string corresponding to the order of the frames, such that the appearance order of the read character string conforms to the appearance rule.

Abstract: A speech recognition method, performed by a computer, with an improved recognition accuracy is disclosed. The method includes: performing speech recognition of an input speech to acquire a plurality of recognition candidates through a plurality of speech recognition processes different from each other for a section having a reliability lower than a predetermined value; verifying similarities between each of the acquired plurality of recognition candidates and meta-information corresponding to the input speech; and determining, based on the verified similarities, a recognition result of the low-reliability section from among the acquired plurality of recognition candidates.