Abstract: A method for providing a power supply service for dispatching a power supply vehicle is performed by an information processing device. The method includes determining whether there is a place where the power supply vehicle can be parked near a first space where a vehicle of a user is parked. The method further includes, when determination is made that there is the place, sending to mobile equipment of the user a first message suggesting to use the power supply service.

Abstract: The method is a method executed by a control device used for providing a charging service in which a power supply vehicle used for charging a vehicle moves to the source of the vehicle and charges the vehicle, and includes: acquiring usage date and time information indicating a date and time a user wants to use the charging service; acquiring parking lot information indicating a parking lot attached to a facility that can be used for the charging service; acquiring privilege information indicating a privilege available at the facility when the charging service is used in a parking lot; and notifying the user of the parking lot information and the privilege information.

Abstract: An information processing apparatus acquires information indicating a route for a going and/or return trip of a power supply vehicle to supply power to a first vehicle at a first destination. The information processing apparatus then acquires positional information for and SOCs of a plurality of second vehicles. The information processing apparatus then identifies, from among the plurality of second vehicles, one or more second vehicles that are present in a vicinity of the first destination and/or on the route of the power supply vehicle and whose SOCs are less than a first standard value. The information processing apparatus then proposes to each of the one or more second vehicles identified a reservation for use of a power supply service in which the power supply vehicle supplies power.

Abstract: An information processing apparatus receives a notification that a reservation for use of a charging service has been made by a user who uses a location among one or more locations, the charging service being a service in which a power supply vehicle charges a user vehicle at the location. The information processing apparatus then temporarily grants authority to enter the location to the power supply vehicle in a case in which a restriction on entering the location is provided.

Abstract: A method performed by an information processing apparatus, the information processing apparatus being used for providing a vehicle charging service that dispatches a power supply vehicle to be used for charging a vehicle to a location designated by a user, includes acquiring information on the user, who is scheduled to stay at a predetermined facility, acquiring a first residual SOC of the vehicle of the user before departure for the predetermined facility, predicting a second residual SOC at a point in time when the vehicle arrives at the predetermined facility, and notifying the user of a proposal to make a reservation for use of the vehicle charging service with using the predetermined facility as a charging point in a case in which the second residual SOC is less than a predetermined standard.

Abstract: An information processing apparatus displays a screen for selecting a purpose of use and a starting point of use of a power supply vehicle on a terminal apparatus used by a user, acquires a purpose of use and a starting point of use selected by the user, determines the operation plan of the power supply vehicle so as to move the power supply vehicle to the acquired starting point of use and perform a power supply operation to supply power to a vehicle of the user in a case in which the acquired purpose of use is “power supply”, determines the operation plan of the power supply vehicle so as to move the power supply vehicle to the acquired starting point of use and transport the user in a case in which the acquired purpose of use is “taxi”, and transmits the determined operation plan to the terminal apparatus.

Abstract: An information processing apparatus includes a controller configured to accept a reservation for use of a vehicle charging service from a user of a vehicle, notify the user of a first joining point and a first joining time as a target joining point and a target joining time at which the vehicle joins a power supply vehicle, determine whether the vehicle can arrive at the first joining point by the first joining time based on positional information and traffic congestion information for the vehicle, determine a second joining point closer to the vehicle than the first joining point upon determining that the vehicle cannot arrive, and notify the user of a proposal to change the target joining point to the second joining point.

Abstract: A server apparatus includes a communication interface and a controller configured to communicate using the communication interface and transmit, to a vehicle to be charged, information on a travel route according to a position of the vehicle to be charged such that the vehicle to be charged, which travels using power of a battery, arrives at a power supply point to receive power supply a predetermined time period before a scheduled time for the power supply and temperature of the battery on arrival is a predetermined temperature.

Abstract: An information processing method performed by an information processing apparatus includes receiving a request for charging that includes information indicating a destination from a user terminal, determining an operation plan of a power supply vehicle that includes transporting a user and a user vehicle toward the destination with supplying power to the user vehicle in response to the request for charging, and transmitting the operation plan to an operator terminal.

Abstract: A non-transitory computer-readable recording medium stores a program that causes a computer to execute a process including: inputting input data including one or more records that have one of a plurality of formats, each of the plurality of formats including a plurality of items; generating conversion data by generating an integrated record having an integrated format from the one or more records; and causing a learner to execute a learning process using the conversion data as input tensor, the learner performing deep learning by performing tensor decomposition on input tensor.

Abstract: An apparatus identifies partial tensor data that contributes to machine learning using tensor data in a tensor format obtained by transforming training data having a graph structure. Based on the partial tensor data and the training data, the apparatus generates expanded training data to be used in the machine learning by expanding the training data.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring training data in which information that indicates whether or not an attack is performed from a first device to a second device is associated with each of a specific operation log from the first device to the second device and a plurality of operation logs that includes operation logs from the first device to the second device before and after the specific operation log; generating order matrix data that includes a graph structure that corresponds to each of the plurality of operation logs and an order relationship of the specific operation log and the operation logs before and after the specific operation log; and generating a machine learning model based on the training data by inputting the data of the order matrix data to a neural network.

Abstract: An apparatus identifies partial tensor data that contributes to machine learning using tensor data in a tensor format obtained by transforming training data having a graph structure. Based on the partial tensor data and the training data, the apparatus generates expanded training data to be used in the machine learning by expanding the training data.

Abstract: A computer-implemented machine learning method of a machine learning model includes: performing first training of the machine learning model by using pieces of training data associated with a correct label; determining, from the pieces of training data, a set of pieces of training data that are close to each other in a feature space based on a core tensor generated by the trained machine learning model and have a same correct label; generating extended training data based on the determined set of pieces of training data; and performing second training of the trained machine learning model by using the generated extended training data.

Abstract: A machine learning model, in which core tensors are generated, is trained by a computer. The computer performs a process including: extracting, from a plurality of items of pseudo training data generated from a plurality of items of training data for the machine learning model, a plurality of items of determined pseudo training data that are determined as pseudo training data that promotes training of the machine learning model; and training the machine learning model by using the plurality of items of determined pseudo training data.

Abstract: An apparatus for determining an abnormality includes: a memory; and a processor coupled to the memory, the processor being configured to execute setting processing that includes setting a determination region so as to exclude range of a frequency component of which waveforms of vibrations in a step before a change and a step after a change coincide each other in a predetermined error range, in a frequency spectrum for each step, the frequency spectrum being obtained from vibration data that is obtained by detecting, by a sensor, a vibration of a monitoring target apparatus executing a plurality of steps in a predetermined order using a rotary part, and execute generating processing that includes generating abnormality determination criterion information indicating a frequency region used to determine an abnormality of the monitoring target apparatus, in accordance with peaks of the frequency spectrum detected in the determination region.

Abstract: A non-transitory computer-readable recording medium stores a program that causes a computer to execute a process including: inputting input data generated from a plurality of logs, the input data including one or more records that have a plurality of items; generating conversion data by complementing, regarding a target record, included in the input data, in which one or more values in the plurality of items has been lost, at least one of the one or more lost values by a candidate value; and causing a learner to execute a learning process using the conversion data as input tensor, the learner performing deep learning by performing tensor decomposition on input tensor.

Abstract: A non-transitory computer-readable recording medium stores a program that causes a computer to execute a process including: inputting input data including one or more records that have one of a plurality of formats, each of the plurality of formats including a plurality of items; generating conversion data by generating an integrated record having an integrated format from the one or more records; and causing a learner to execute a learning process using the conversion data as input tensor, the learner performing deep learning by performing tensor decomposition on input tensor.

Abstract: A non-transitory computer-readable recording medium having stored therein an abnormality detection program for causing a computer to execute a process, the process includes referring to a storage that stores a plurality of determination criteria for each of processes based on a rotation frequency of the rotating part and harmonic frequencies of the rotation frequency in each of a plurality of processes, the rotation frequency and the harmonic frequencies of the rotation frequency being specified from a frequency spectrum of vibration data obtained by measuring, by a sensor, vibration of a monitoring target device that executes the plurality of processes in a predetermined order by using a rotating part that rotates, and detecting occurrence of an abnormality of the monitoring target device from the vibration data measured by the sensor based on the predetermined order and the plurality of determination criteria for each of the processes.

Abstract: A thermoelectric conversion device includes: a thermoelectric conversion element in which a p-type thermoelectric material and an n-type thermoelectric material that are provided between an upper electrode and a lower electrode of the thermoelectric conversion element are alternately connected in series via the upper electrode and the lower electrode; an insulating layer that is provided between the upper electrode and the lower electrode and covers the p-type thermoelectric material and the n-type thermoelectric material; and an electric storage element that is provided between the upper electrode and the lower electrode and is covered by the insulating layer.