Abstract: A supplemental tool for installation that can achieve both high magnetic-marker installation efficiency and high magnetic-marker installation accuracy is provided. A supplemental tool for arranging a magnetic marker in an accommodation hole provided by being drilled in a road surface includes a columnar-shaped retaining member including a retaining surface for the magnetic marker at an end portion in an axial direction and a detaching member combined with the retaining member so as to be able to move to the axial direction as opposed to the retaining member. A combination of the retaining member and the detaching member is such that detaching member can abut on the magnetic marker retained on the retaining surface, and it is configured so that the retaining member can retreat in the axial direction to a side away from the magnetic marker keeping a state in which the detaching member abuts on the magnetic marker.

Abstract: An information processing device includes a processor. The processor obtains a first classification threshold for classifying data into at least one of a plurality of classes, and outputs a classification result of classifying the data into at least one of the plurality of classes based on an output of a trained classification model and the first classification threshold. The first classification threshold is obtained by a second transform performed on a second classification threshold, the second transform being an inverse transform of a first transform. The first transform corresponds to transforming the output of the trained classification model into a classification probability value of each of a plurality of unit classes constituting the plurality of classes. The second classification threshold is set based on the classification probability values of the plurality of unit classes.

Abstract: A supplemental tool for installation that can achieve both high magnetic-marker installation efficiency and high magnetic-marker installation accuracy is provided. A supplemental tool for arranging a magnetic marker in an accommodation hole provided by being drilled in a road surface includes a columnar-shaped retaining member including a retaining surface for the magnetic marker at an end portion in an axial direction and a detaching member combined with the retaining member so as to be able to move to the axial direction as opposed to the retaining member. A combination of the retaining member and the detaching member is such that detaching member can abut on the magnetic marker retained on the retaining surface, and it is configured so that the retaining member can retreat in the axial direction to a side away from the magnetic marker keeping a state in which the detaching member abuts on the magnetic marker.

Abstract: An information processing device includes a processor. The processor obtains a first classification threshold for classifying data into at least one of a plurality of classes, and outputs a classification result of classifying the data into at least one of the plurality of classes based on an output of a trained classification model and the first classification threshold. The first classification threshold is obtained by a second transform performed on a second classification threshold, the second transform being an inverse transform of a first transform. The first transform corresponds to transforming the output of the trained classification model into a classification probability value of each of a plurality of unit classes constituting the plurality of classes. The second classification threshold is set based on the classification probability values of the plurality of unit classes.

Abstract: An information processing method performed by a computer includes: obtaining prediction results that are results of prediction performed by predictors on same input data; obtaining, for each of the prediction results, an influence that the input data had on the prediction result; determining, based on the prediction results, one or more combinations of the prediction results; and presenting, side by side or by superposition, using a presentation device, influences obtained for prediction results that are included in the prediction results and are in a same combination among the one or more combinations.

Abstract: An interval between a pinhole and a pinhole is set to a first interval at which a degree of superimposition of subject images captured through the corresponding pinholes falls within a predetermined range when an image of a subject located at a distance less than a predetermined distance from the multi-pinhole camera is captured. An interval between the pinhole and a pinhole is set to a second interval narrower than the first interval at which a degree of superimposition of subject images captured through the corresponding pinholes falls within a predetermined range when an image of the subject located at a distance equal to or more than the predetermined distance from the multi-pinhole camera is captured.

Abstract: A control method by an information processing apparatus includes: acquiring operation information on a group of operations continuously performed to a plurality of devices disposed in a facility; calculating an operation cost required to perform the group of operations indicated by the operation information; generating, in a case that the operation cost is larger than a predetermined value, suggestion information indicative of a suggestion for performing collective control of the group of operations indicated by the operation information to the devices; and outputting the suggestion information.

Abstract: An electricity charge output method includes, by a computer: acquiring a sum of electric energy usages, in a specified period, of a previously specified first device group among all devices provided at a facility and of a second device group that is among the all devices and is different from the first device group; acquiring an electric energy usage of the first device group in the specified period; reducing the sum in accordance with the electric energy usage of the first device group and calculating an electricity charge for the facility in the specified period, based on an electric energy after the reduction; and outputting information representing the electricity charge for the facility.

Abstract: A sheet-shaped magnetic marker to be laid on a road surface so as to be able to be detected by a magnetic sensor attached to a vehicle to achieve assist for driving operation of the vehicle by a driver or control on a vehicle side to achieve automatic driving independently from operation of the driver has a magnet sheet (11) as a magnetism generation source and a wireless tag (2) which outputs information via wireless communication to the vehicle side. In the magnetic marker, the wireless tag (2) is interposed between a sheet (11A) and a sheet (11B) configuring the magnet sheet (11), and the entire wireless tag (2) is accommodated inside the magnet sheet (11).

Abstract: An appliance control method includes: acquiring a user action of a user; predicting a plurality of action information items about future user actions of the user based on the user action, the plurality of action information items including a plurality of actions and predicted times at which the plurality of actions are predicted to be performed; determining appliance control operations corresponding to the plurality of actions based on the plurality of actions and the predicted times; and performing the appliance control operations based on the predicted times.

Abstract: An interval between a pinhole and a pinhole is set to a first interval at which a degree of superimposition of subject images captured through the corresponding pinholes falls within a predetermined range when an image of a subject located at a distance less than a predetermined distance from the multi-pinhole camera is captured. An interval between the pinhole and a pinhole is set to a second interval narrower than the first interval at which a degree of superimposition of subject images captured through the corresponding pinholes falls within a predetermined range when an image of the subject located at a distance equal to or more than the predetermined distance from the multi-pinhole camera is captured.

Abstract: A demand prediction method using a computer includes calculating an error between a prediction value of an amount of a past demand and a measurement value of the amount of the past demand, the prediction value of the amount of the past demand being calculated by inputting a measurement value of a past explanatory variable to a prediction model that is constructed in accordance with a measurement value of an amount of a demand at a predetermined location and an explanatory variable that serves as an external factor that affects an increase or a decrease in the amount of the demand at the predetermined location, determining whether the calculated error is an abnormal value, acquiring a new explanatory variable if the error is determined to be the abnormal value, updating the prediction model in accordance with the acquired new explanatory variable, and newly predicting an amount of a future demand using the updated prediction model.

Abstract: A sheet-shaped magnetic marker to be laid on a road surface so as to be able to be detected by a magnetic sensor attached to a vehicle to achieve assist for driving operation of the vehicle by a driver or control on a vehicle side to achieve automatic driving independently from operation of the driver has a magnet sheet (11) as a magnetism generation source and a wireless tag (2) which outputs information via wireless communication to the vehicle side. In the magnetic marker, the wireless tag (2) is interposed between a sheet (11A) and a sheet (11B) configuring the magnet sheet (11), and the entire wireless tag (2) is accommodated inside the magnet sheet (11).

Abstract: An information processing device is an information processing device including a processor. The processor obtains a detection result of a first detector for detecting a first target in first sensing data; and based on the detection result of the first detector, determines a setting of processing by a second detector for detecting a second target in second sensing data next in an order after the first sensing data, the second target being different from the first target.

Abstract: An information processing method includes: obtaining, from a mobile object, (i) at least one of operation information of the mobile object and traveling information indicating a traveling route taken by the mobile object, and (ii) sensor data obtained by sensing of the traveling route using a sensor included in the mobile object; causing a learning model to learn, using (i) the at least one of the operation information and the traveling information, and (ii) the sensor data as input, at least one of operation performed on and movement made by the mobile object using the sensor data obtained by sensing of the traveling route; generating, according to a number of times the learning model is trained, presentation information indicating the input required before the learning model completes learning about the traveling route; and causing a presentation device to present the presentation information.

Abstract: An information processing method performed by a computer includes: obtaining prediction results that are results of prediction performed by predictors on same input data; obtaining, for each of the prediction results, an influence that the input data had on the prediction result; determining, based on the prediction results, one or more combinations of the prediction results; and presenting, side by side or by superposition, using a presentation device, influences obtained for prediction results that are included in the prediction results and are in a same combination among the one or more combinations.

Abstract: An information processing method is executed by a computer, and includes: obtaining a first image generated by a multi-pinhole camera; extracting at least one point spread function (PSF) in each of a plurality of regions in the first image; obtaining a second image different from the first image, and reference data used in machine learning for the second image; generating a third image, by convolving each of a plurality of regions in the second image with at least one PSF extracted in a corresponding region of the plurality of regions in the first image; and outputting a pair of the reference data and the third image.

Abstract: An information processing device includes a processor. This processor: obtains at least one of first sensor data output from a first sensor and used to determine an ambient environment of a device in which a third sensor is placed, and second sensor data used to determine an orientation of this device; determines a tilt of a plane in a sensing direction of the third sensor with respect to the orientation of the device based on the at least one of the first sensor data and the second sensor data; determines, in accordance with the tilt determined, a processing target area of third sensor data output from the third sensor and used for object detection processing in the sensing direction of the third sensor; and executes the object detection processing using the processing target area determined, of the third sensor data.

Abstract: An information processing device is configured to: obtain sensing data from an optical sensor; obtain position information of a mobile body which includes the optical sensor; obtain map information; determine, in sensing data, a specific sensing data region corresponding to a specific region in a sensing region of the optical sensor by using the position information and the map information that have been obtained; determine input information to be provided to an object detection model, according to the specific sensing data region; and cause the object detection model to perform object detection processing by using the input information.

Abstract: A method is provided for reducing computer memory usage and processing time in assessing effectiveness of a prediction model. The method includes acquiring a plurality of records and sorting the records based on prediction values. The method also includes determining two of three performance data parameters, including a number of selected records and a number of correct decisions, and determining a level of effectiveness of the prediction model based on the two of three performance data parameters. The method further includes generating a graph illustrating the level of effectiveness of the prediction model based on the two of three performance parameters, and visually conveying the level of effectiveness of the prediction model utilizing the generated graph.