Abstract: A learning system includes a learning data acquisition unit that generates a neural network included in a single forecast model for performing a forecast of demand for a service through machine learning and acquires, as learning data, an actual demand value of the service and a feature amount for learning for each mesh associated with a past period, the feature amount for learning including the number of demands for the service in each mesh in each period as a feature amount, a learning data normalization unit that normalizes at least the number of demands in the feature amount for learning for each mesh, and a generation unit that performs machine learning on the basis of an actual demand value and a demand forecast value obtained by inputting the feature amount for learning including the normalized number of demands to the neural network, and generates the neural network.

Abstract: A simulation device is a device that simulates movement of a vehicle between a plurality of ports in a shared traffic service and includes a calculation unit that calculates a work time in a relocation port that is a port to be a target of relocation of the vehicle and simulates the relocation based on the work time.

Abstract: A population estimation server 10 according to an embodiment includes a signal acquisition unit 11 that acquires a location registration signal periodically transmitted from a mobile terminal 20 carried by a user, and an estimation unit 12 that aggregates the acquired location registration signals for each area and for each estimation-unit-period and estimates a population for each area and for each estimation-unit-period based on an aggregation result. When an absent period in which the signal from the mobile terminal 20 staying in a target area is not acquired occurs after the location registration signal from the mobile terminal 20 is acquired, the estimation unit 12 interpolates a pseudo signal associated with the mobile terminal 20 in the absent period, and aggregates signals while excluding a location registration signal first transmitted from the mobile terminal after the absent period from an aggregation target.

Abstract: A population extraction device includes: a time-series population acquisition unit acquiring demographic data in daily time slots over a time period in a target area and acquiring a time-series population in a time slot each day by extracting a population at the same time slots from the demographic data in daily time slots; a clustering unit clustering the time-series population in a time slot each day into a plurality of classes based on fluctuation-similarity; a determination unit determining a class on a no-event day based on fluctuation in each class; a stationary population derivation unit deriving a time-series average population of the class on a no-event day as a time-series stationary population of a target area; and a population extraction unit extracting a difference between the time-series population on a target day in a target area and the time-series stationary population as an event-related population of the target area.

Abstract: A learning system includes a learning data acquisition unit that generates a neural network included in a single forecast model for performing a forecast of demand for a service through machine learning and acquires, as learning data, an actual demand value of the service and a feature amount for learning for each mesh associated with a past period, the feature amount for learning including the number of demands for the service in each mesh in each period as a feature amount, a learning data normalization unit that normalizes at least the number of demands in the feature amount for learning for each mesh, and a generation unit that performs machine learning on the basis of an actual demand value and a demand forecast value obtained by inputting the feature amount for learning including the normalized number of demands to the neural network, and generates the neural network.

Abstract: A server 10 according to one embodiment comprises: a first statistic acquisition unit 13 acquiring a first statistic representing a feature associated with a past period related to a forecast target area; an area extraction unit 14 extracting at least one related area that is different in size from the forecast target area and surrounds the forecast target area; a second statistic acquisition unit 15 acquiring a second statistic representing a feature of the related area; and a demand forecast unit 16 inputting the first statistic and the second statistic to a forecasting model prepared in advance, thereby acquiring a forecasted demand value in the forecast target area.

Abstract: A demand forecasting device includes a boarding history acquiring unit configured to acquire a plurality of pieces of boarding history information related to a business vehicle and including information indicating a boarding date and time and position information indicating a boarding place, a demand forecasting unit configured to perform demand forecasting for the vehicle by spatial clustering using the pieces of boarding history information, and an output unit configured to output a demand forecasting result obtained by the demand forecasting unit.

Abstract: A place popularity estimation system for estimating popularity of a facility includes a posted-data acquisition unit configured to acquire posted data posted by a user; a posted-data determination unit configured to determine whether the posted data relates to a facility to be estimated and also indicates that a user who has posted the posted data has visited the facility to be estimated; a counting unit configured to count posted data for the facility to be estimated in accordance with the determination; a number-of-people information acquisition unit configured to acquire number-of-people information indicating the number of people who are located in a mesh including the facility to be estimated; a popularity estimation unit configured to estimate popularity of the facility to be estimated, based on a counted value and the number of people indicated by the number-of-people information; and an output unit configured to output information indicating the estimated popularity.

Abstract: A robot (2000) includes a face unit (2020), a temperature distribution detection unit (2040), a head direction calculation unit (2060), and a first face direction change unit (2080). The temperature distribution detection unit (2040) includes a plurality of photo-detectors disposed in a grid form. The temperature distribution detection unit (2040) detects a temperature distribution of a detection region by using the plurality of photo-detectors. The head direction calculation unit (2060) calculates a direction in which a person's head is located, on the basis of the temperature distribution detected by the temperature distribution detection unit (2040). The first face direction change unit (2080) directs the face unit (2020) in the direction calculated by the head direction calculation unit (2060).

Abstract: Disclosed are a robot control device and the like with which the accuracy with which a robot starts listening to speech is improved, without requiring a user to perform an operation. This robot control device is provided with: an action executing means which, upon detection of a person, determines an action to be executed with respect to said person, and performs control in such a way that a robot executes the action; an assessing means which, upon detection of a reaction from the person in response to the action determined by the action executing means, assesses the possibility that the person will talk to the robot, on the basis of the reaction; and an operation control means which controls an operating mode of the robot main body on the basis of the result of the assessment performed by the assessing means.

Abstract: A communication draw-in system that enables robot-human communication to start smoothly is provided. The communication draw-in system is a communication draw-in system provided in a robot that communicates with a target human, and includes: a human specifying unit 200 for specifying a position of the target human; a light source control unit 201 for moving light toward the specified position of the target human; a draw-in control unit 203 for instructing the robot to perform a draw-in operation for making the target human recognize a direction of the robot; and a human recognition specifying unit 204 for determining whether or not the target human has recognized the robot, wherein the robot is instructed to start communicating with the target human, in the case where the target human is determined to have recognized the robot.

Abstract: A robot (2000) includes a face unit (2020), a temperature distribution detection unit (2040), a head direction calculation unit (2060), and a first face direction change unit (2080). The temperature distribution detection unit (2040) includes a plurality of photo-detectors disposed in a grid form. The temperature distribution detection unit (2040) detects a temperature distribution of a detection region by using the plurality of photo-detectors. The head direction calculation unit (2060) calculates a direction in which a person's head is located, on the basis of the temperature distribution detected by the temperature distribution detection unit (2040). The first face direction change unit (2080) directs the face unit (2020) in the direction calculated by the head direction calculation unit (2060).

Abstract: A communication draw-in system that enables robot-human communication to start smoothly is provided. The communication draw-in system is a communication draw-in system provided in a robot that communicates with a target human, and includes: a human specifying unit 200 for specifying a position of the target human; a light source control unit 201 for moving light toward the specified position of the target human; a draw-in control unit 203 for instructing the robot to perform a draw-in operation for making the target human recognize a direction of the robot; and a human recognition specifying unit 204 for determining whether or not the target human has recognized the robot, wherein the robot is instructed to start communicating with the target human, in the case where the target human is determined to have recognized the robot.

Abstract: A terminal has a visual axis by using which a user points to a target object. An information generating server acquires an internal image or an external image of the target object pointed by a user, and generates a display image which is displayed on the terminal.

Abstract: An object of the present invention is to infer a user's preference or profile with a good precision. A user preference inferring apparatus 100 includes a receiving means 2 which receives information related to an article from a tag attached to the article, an article name determining means 3 obtaining an article name of the article on the basis of the information related to the article received by the receiving means 2, and a preference determining means 4 which infers a user's preference on the basis of the information related to the article received by the receiving means 2. On the basis of the article name obtained by the article name determining means 3, the preference determining means 4 obtains preference information corresponding to the article name from a database that stores the article name and the preference information corresponding to the article name, and determines the user's preference.

Abstract: A terminal, information generating servers and a positional information server are provided. The information generating servers are installed in respectively corresponding to a plurality of objects. Each object may be divided into small blocks as one or more spatial regions and a case is included in which the block is the small block. One or more image acquisition cameras are provided which acquire an internal image of each object or an external image in which surroundings of each object are seen from the object. A display image to be transmitted to the terminal is generated from the internal image or the external image of each object based on at least one of terminal positional information indicating a position of the terminal and terminal directional information indicating a direction of the terminal. While pointing a to-be-identified target object among the objects, the terminal detects, detects the terminal positional information and the terminal directional information.

Abstract: An object of the present invention is to infer a user's preference or profile with a good precision. A user preference inferring apparatus 100 includes a receiving means 2 which receives information related to an article from a tag attached to the article, an article name determining means 3 obtaining an article name of the article on the basis of the information related to the article received by the receiving means 2, and a preference determining means 4 which infers a user's preference on the basis of the information related to the article received by the receiving means 2. On the basis of the article name obtained by the article name determining means 3, the preference determining means 4 obtains preference information corresponding to the article name from a database that stores the article name and the preference information corresponding to the article name, and determines the user's preference.

Abstract: An IC tag administration device includes an information reader which reads original information from an IC tag added to a product, a transformation unit which transforms the original information read by the information reader to information, to which a predetermined local rule is applied, under the local rule, and an information writing unit which rewrites the original information of the IC tag by using the local rule applied information.

Abstract: An IC tag administration device includes an information reader which reads original information from an IC tag added to a product, a transformation unit which transforms the original information read by the information reader to information, to which a predetermined local rule is applied, under the local rule, and an information writing unit which rewrites the original information of the IC tag by using the local rule applied information.