Abstract: A takeoff and landing facility management apparatus 4 transmits an information request for an unmanned aerial vehicle 1 to an unmanned aerial vehicle traffic management apparatus 3 in response to receiving a landing request from the unmanned aerial vehicle 1 that asks for an emergency landing. And then, the unmanned aerial vehicle traffic management apparatus 3 transmits at least position information of the unmanned aerial vehicle 1 to the takeoff and landing facility management apparatus 4 in response to the information request in a case where the unmanned aerial vehicle 1 that asks for the emergency landing is in an emergency state.

Abstract: An information processing device is configured to identify a background area of a first image registered from a first account and a background area of a second image registered from a second account, and to output identicalness information indicating whether a user owning the first account and a user owning the second account are identical to each other based on the background area of the first image and the background area of the second image.

Abstract: Disclosed herein is a detecting device including a second machine learning model provided for mutual learning together with a first machine learning model, the first machine learning model being subjected to machine learning so as to generate genuine or fraudulent article information having a plurality of modalities, and the second machine learning model being subjected to machine learning so as to discriminate whether article information having a plurality of modalities is genuine or not, an obtaining section configured to obtain article information having a plurality of modalities, and an estimating section configured to estimate whether the article information that is obtained by the obtaining section and has the plurality of modalities is genuine or not, by using the second machine learning model.

Abstract: A control device (900) includes an acquirer (910) that acquires information expressing weather related to a port that is a location at which a landing of an aircraft is scheduled, and a controller (930) that causes an alerter to perform a behavior corresponding to the weather expressed in the acquired information. The alerter performs an alert related to the landing of the aircraft.

Abstract: An information processing device includes a first effect estimating unit for obtaining a first causality score indicating an effect that a predetermined operation has on a user, by inputting an attribute of the user to a first model, a second effect estimating unit for obtaining a second causality score indicating the effect, by inputting the attribute of the user to a second model, a calibration function deciding unit for deciding a calibration function for calibration of the first causality score, based on the first causality score and the second causality score calculated for each of a plurality of users, and a third effect estimating unit for deciding a third causality score indicating the effect on an object user, by applying the first causality score, which is calculated with regard to the object user, to the calibration function.

Abstract: An information processing apparatus acquires data on positions of a user accompanying movement of the user, acquires a user feature representing a feature of the user, generates a user vector representing a feature of the movement of the user based on the position data and the user feature, generates a sequence vector representing a sequence of locations visited by the user based on the position data; and predicts a next location that the user will visit based on the user victor and the sequence vector through machine learning.

Abstract: Provided is an unmanned aerial vehicle including a waterproof container including: a container main body having an opening in a bottom surface defined in a landed state of the unmanned surface aerial vehicle; a waterproof door mounted to the container main body so as to open outward and close the opening; an elastic seal, which is interposed between the container main body and the waterproof door, and is configured to close the waterproof door in a liquid-tight manner; a first door-closing mechanism configured to retain a first door-closing state of the waterproof door; and a second door-closing mechanism configured to prevent movement of the waterproof door in a door-opening direction in a second door-closing state in which the waterproof door has been pushed in a direction of resisting against an elastic force of the elastic seal from the first door-closing state.

Abstract: Provided is an estimating system including at least one processor configured to: acquire first feature information on each first place of a plurality of first places to which a mobile object is to move in order; input the first feature information on the each first place to a learning model, which has learned a relationship between second feature information on each second place of a plurality of second places to which one of the mobile object and another mobile object has moved in order in the past and an arrival time at the each second place; and acquire an arrival time at the each first place estimated by the learning model.

Abstract: A sending device divides a message that is to be sent to a receiving device into a plurality of partial messages each having a length equal to or less than a predetermined length. The sending device puts the plurality of partial messages in a queue. The sending device takes one partial message out of the queue among the plurality of partial messages and sends the one partial message to the receiving device. The sending device receives notification information indicating that the sent partial message has been displayed in a display area. The sending device takes a next partial message out of the queue among the plurality of partial messages and sends the next partial message to the receiving device after the notification information is received.

Abstract: An information processing device includes an accompanier identifying unit for identifying one or more current or future accompaniers of a user, an action history extracting unit for extracting, from action history accumulated regarding the user, action history in which identification information of the one or more accompaniers identified by the accompanier identifying unit is correlated, and a content identifying unit for identifying content corresponding to the extracted action history, as the content to be provided to the user.

Abstract: Detection means of an unmanned aerial vehicle control system is configured to detect an object existing at a location at which at least one of landing or takeoff of an unmanned aerial vehicle is to be performed. Type identification means is configured to identify a type of the object based on a result of detection by the detection means. Restriction means is configured to restrict at least one of landing or takeoff of the unmanned aerial vehicle based on the type identified by the type identification means.

Abstract: A code display medium includes a code image display portion which arranges a plurality of code images side by side in a circumferential direction around an axis of screw fastening and which displays the plurality of code images so as to be optically readable, each of the plurality of code images including identification information for identifying at least one of a fastening material for the screw fastening and/or an object to be fastened by the screw fastening and a fixing portion which fixes the code image display portion to a position that is on the object to be fastened and that can be simultaneously captured with the fastening material in a state where the screw fastening is performed.

Abstract: Provided is a transport system, a control device, and a method whereby package transport efficiency can be improved. A transport system 1 includes at least one memory configured to store a program code, and at least one processor configured to access the program code and operate as instructed by the program code. The program code includes a detection code configured to cause the at least one processor to detect a first package to be collected at a specified collection location, and an identification code configured to cause the at least one processor to identify a second package to be delivered to the collection location.

Abstract: An information communication system transmits an advertisement to a second terminal device used by a second user based on transmission of a message from a first terminal device used by a first user to the second terminal device. The information communication system executes processing of giving a reward to the first user based on recognition that the second user takes an action corresponding to a successful result of the advertisement after the second user selects the advertisement.

Abstract: An unmanned aerial vehicle (UAV) control system includes a first UAV, a second UAV that flies near the first UAV during a flight of the first UAV and is configured to obtain wind information about wind, and flight control means for controlling the flight of the first UAV based on the wind information obtained by the second UAV.

Abstract: An unmanned vehicle is configured to execute an acquisition process that acquires sound identification information selected by one or more other unmanned vehicles located nearby. The sound identification information is included in multiple types of sound identification information each associated with a sound that has a different characteristic. The unmanned vehicle is further configured to execute a sound selection process that refers to the acquired sound identification information to select sound identification information that is different from the sound identification information selected by at least one of the other unmanned vehicles and an output control process that outputs a sound having a characteristic corresponding to the selected sound identification information.

Abstract: A logistics management server includes circuitry. The circuitry is configured to acquire route plans for unmanned vehicles each delivering a package to a delivery point. The circuitry is further configured to determine whether a first unmanned vehicle and a second unmanned vehicle will approach each other based on the acquired route plan for the first unmanned vehicle and the acquired route plan for the second unmanned vehicle, and when determining that the first unmanned vehicle and the second unmanned vehicle will approach each other, set sound identification information such that a sound output from the first unmanned vehicle and a sound output from the second unmanned vehicle each have a different characteristic.

Abstract: A method, system, and apparatus are provided. The method includes receiving, with a coordinator component, a task for testing at least one electronic device, retrieving, by a first agent from the coordinator component, the task for testing the at least one electronic device, controlling a first robotic device to test the at least one electronic device based on the retrieved task, and receiving, with the coordinator component, a result of the task based on the testing of the at least one electronic device.

Abstract: The unmanned vehicle for delivering an article, includes a housing portion for housing the article, the housing portion being provided with an openable and closable door, the door being closeable on a receiving surface of the article. Then, the unmanned vehicle identifies a direction of wind blown onto the unmanned vehicle; and on the basis of the identified direction of the wind, suppresses closing of the door, opened when the unmanned vehicle is stopped, due to an influence of the wind.

Abstract: An image processing device according to one embodiment includes an acquisition unit, a generation unit, a calculation unit, and an estimation unit. The acquisition unit acquires an input image. The generation unit generates a plurality of comparison images by superimposing each of a plurality of noises with different densities from each other on a target region being at least part of the input image. The calculation unit calculates, for each of the plurality of comparison images, the degradation level of the comparison image with respect to the input image. The estimation unit estimates the noise level of the input image based on a plurality of calculated degradation levels.