Abstract:
An acquisition section acquires a plurality of records which is a collection of records each of which includes a prediction value predicted by a prediction model and group information, a sorting section sorts the records based on the prediction values, a calculation section selects records from the sorted records in order, calculates the number of selections indicating the number of selected records and the number of correct decisions indicating the number of decisions in which the group information included in the selected record is decided to belong to a group classified as a correct decision, and outputs both the numbers in association with each other, an image drawing section generates a graph created by plotting both the numbers in a coordinate system with the horizontal axis representing the number of selections and the vertical axis representing the number of correct decisions, and a display section displays the generated graph.
Abstract:
A method includes estimating a model parameter in a case where operating states of plural electric devices are modeled by a probability model by using a total value of power consumption of the plural electric devices connected with a panel board. In the estimating, the model parameter in which likelihood calculated by a likelihood function becomes a maximum is estimated based on characteristics of power data that may be predetermined as prior knowledge from an operation tendency of each of the plural electric devices, the probability model is a factorial hidden Markov model (FHMM), and the likelihood is a value that indicates certainty of a pattern of a total value of the power consumption, which is modeled by the FHMM, of the plural electric devices with respect to a total value of the power consumption that is actually measured.
Abstract:
An information processing method enhancing running efficiency of a passenger transportation vehicle is provided. The information processing method includes acquiring first stop position information indicating a first desired stop position of a first user riding a vehicle and tolerable range information indicating a gap range from the first desired stop position, which the first user tolerates, acquiring second stop position information indicating a second desired stop position of a second user riding the vehicle, deciding the second route based on the first stop position information, tolerable range information, and second stop position information, transmitting an inquiry of whether the second route is approved to an apparatus controlled by the first user, or assigning a benefit or the cost to the first user in a case of receiving a response indicating that the second route is approved or not approved from the apparatus.
Abstract:
A data analysis method decomposes a fundamental matrix with N rows and M columns indicating relatedness with each of first N objects and each of second M objects into three matrices, and clusters at least the first objects or the second objects. The data analysis method includes acquiring the fundamental matrix having each element storing a value indicating the relatedness, setting K indicating a number of clusters of the first N objects and L indicating a number of clusters of the second M objects, decomposing the fundamental matrix into three matrices which are a first matrix, a second matrix, and a third matrix such that a product of the first matrix, the second matrix, and the third matrix approximates the fundamental matrix, and outputting at least one of clustering results of the first objects and the second objects.
Abstract:
An apparatus is mounted on a vehicle that is autonomously driven and that is used for passenger transportation. The apparatus includes: a processor; and a memory storing thereon a computer program. When executed by the processor, the program causes the processor to perform operations including: selecting a target person who is at least one of humans who are present around the vehicle and are detected using sensing information about surroundings of the vehicle; acquiring a first state indicating a state of the selected target person; acquiring a second state indicating a state of the vehicle changing a speed setting of the vehicle in accordance with the first state and the second state; and controlling traveling of the vehicle at a speed indicated by the speed setting.
Abstract:
A method for controlling an aerial vehicle includes determining a direction in which the aerial vehicle is traveling; determining, with reference to a table, an altitude range which corresponds to the determined direction and within which the aerial vehicle is caused to fly, the table indicating correspondences between directions in which the aerial vehicle is traveling and altitude ranges within which the aerial vehicle is to fly; obtaining, from an altimeter, a first altitude, which is a current altitude, at which the aerial vehicle is flying; determining whether the first altitude is included in the determined altitude range; and if it is determined that the first altitude is not included in the determined altitude range, changing an altitude at which the aerial vehicle is caused to fly from the first altitude to a second altitude included in the determined altitude range.
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:
Included is identifying a location of a user; determining that transmission of notification information to the user is appropriate in a case where information included in management information held in the information collection database satisfies a predetermined condition, and a current location of the user identified in the identifying is a predetermined location; specifying, out of one or more presentation devices, a presentation device at which the notification information is to be displayed; generating the notification information of a content according to the identified location of the user, in a case where determination has been made in the determining that transmission of the notification information is appropriate; and performing communication to transmit the notification information that has been generated in the generating to the presentation device that has been specified in the specifying.
Abstract:
An autonomous driving vehicle includes a main vehicle part, a processor, and a memory storing thereon a computer program, which when executed by the processor, causes the processor to perform operations. The operations include detecting a gesture made, to try to stop the main vehicle part, by a person present near a road on which the main vehicle part is running, determining whether there is a passenger in the main vehicle part, and controlling autonomous driving of the main vehicle part. In a case where it is determined that there is no passenger in the main vehicle part, when a person making the gesture is detected, the controlling controls the main vehicle part to stop near the person.
Abstract:
An authentication method includes: receiving, from a terminal of a user, a user ID for identifying the user and a target vehicle ID for identifying a target vehicle that the user tries to authenticate; determining whether the target vehicle ID matches a reserved vehicle ID for identifying a reserved vehicle whose dispatch has been reserved by the user; in a case where the target vehicle ID matches the reserved vehicle ID, transmitting, to the target vehicle, an unlocking instruction to unlock a door of the target vehicle and causing the terminal to present a message indicating that the user is allowed to get on the target vehicle; and in a case where the target vehicle ID does not match the reserved vehicle ID, causing the terminal to present a message indicating that the target vehicle is not the reserved vehicle of the user.