Abstract: A method, system, apparatus, and non-transitory computer-readable medium for image processing using a multi-task neural network framework may be provided. The method be executed by one or more processors, and may include receiving an input image; and generating one or more image patches based on the input image. The method may include performing an image processing task based on the input image using the multi-task neural network framework, wherein the multi-task neural network framework is trained using an adaptive feature distillation function, and wherein the adaptive feature distillation function is based on a comparison of intermediate features of the multi-task neural network framework and intermediate features of a plurality of single-task neural network models. The method may include generating an output of the image processing task based on up sampling an output of the multi-task neural network framework.

Abstract: When a vending machine control system S detects a user who is about to open a door 13 of a vending machine 1 while the door 13 is locked, the vending machine control system S determines whether the detected user has a payment capability on the basis of information for settlement of the detected user. And then, the vending machine control system S controls to unlock the door 13 of the vending machine 1 in a case that it is determined that the user has the payment capability.

Abstract: A server and the like that can provide an opportunity for a user to confirm purchase of a reserved product, which sends a first message including an object for canceling reservation of a reserved product to a user via a message service, enabled to discriminate whether a message has been read, when the product arrives, cancels the reservation when the object is operated in a predetermined time after the first message is marked as read, determines whether the product is in stock when the object remains unoperated for the predetermined time after the first message is marked as read, finalizes purchase of the product when it is determined that the product is in stock, and sends a second message notifying that the product has been sold out to the user when it is determined that the product is out of stock.

Abstract: An image processing system having at least one processor configured to: obtain a captured image of a document that includes a fixed part and an un-fixed part, the document being captured by an image reader or an image capture device; detect a feature part of the fixed part based on the captured image; obtain, in a case where the feature part is detected, a shaped image of the captured image such that a positional relationship of the feature part is aligned with a predetermined first positional relationship; and search for, in a case where the feature part is not detected, a substitute feature part of the fixed part based on the captured image, wherein in a case where the feature part is not detected, the at least one processor obtains the shaped image such that a position of the substitute feature part is aligned with a predetermined second position.

Abstract: A region extraction device acquires a first frame image and a second frame image which are temporally successive. The device acquires, based on the acquired first frame image and second frame image, motion information indicating a region where a motion exists in the first frame image, detects, based on the acquired first frame image, positions of an elbow and a wrist of a human body from the region where the motion exists indicated by the acquired motion information, and extracts, based on the detected positions, a region corresponding to a part, of the region where the motion exists indicated by the acquired motion information, located in a human body hand's side of the wrist.

Abstract: An unmanned aerial vehicle according to the present invention include: a main body; plural arms as supports that extend from the main body and support rotors; cloth-like parts held in a standby state in which the cloth-like parts are folded at positions close to the main body; and deployment mechanisms that are provided in the arms and each configured to move a portion of the cloth-like part in a direction away from the main body so that the cloth-like part-is switched from the standby state to a deployed state in which the cloth-like part is spread between the arms in plan view.

Abstract: An information communication system acquires first user information indicating a first user and second user information indicating a second user based on transmission of a message from a first terminal device used by the first user to a second terminal device used by the second user. The information communication system transmits, to the first terminal device, a first advertisement corresponding to an attribute of the first user indicated by the acquired first user information. The information communication system transmits, to the second terminal device, a second advertisement corresponding to an attribute of the second user indicated by the acquired second user information.

Abstract: Remaining charge acquisition means of a battery installation system acquires remaining charge information on a remaining charge of each of a plurality of batteries which are installable in an unmanned aerial vehicle. Battery weight acquisition means acquires battery weight information on a weight of each battery. Location acquisition means acquires location information on a movement destination of the unmanned aerial vehicle. Selection means selects, based on the remaining charge information, the battery weight information, and the location information, from among the plurality of batteries, a battery having a remaining charge equal to or more than a battery consumption amount for moving to the movement destination. Processing execution means executes processing for installing the battery selected by the selection means in the unmanned aerial vehicle.

Abstract: A management device that manages a flight route of a plurality of unmanned aerial vehicles (UAVs) includes a communication unit that acquires a detection result of an obstacle by a first UAV including an obstacle detection function and an evaluating unit that generates evaluation data of the flight route for selecting a UAV to fly on the flight route based on the detection result.

Abstract: A bidding assistance device includes a ratio calculation unit configured to calculate a ratio of an actual advertising cost index to a goal advertising cost index, the actual advertising cost index being based on an advertising delivery performance at a bidding time in an advertising period, the goal advertising cost index being requested by an advertiser in the advertising period, an adjustment factor calculation unit configured to calculate an adjustment factor from the ratio and from a relationship between the advertising period and the bidding time, the adjustment factor being used to adjust a bid price of an advertisement, and a determination unit configured to determine the bid price at the bidding time using the adjustment factor calculated by the adjustment factor calculation unit, the goal advertising cost index, and a forecast effectiveness index forecast from advertising effectiveness, the advertising effectiveness being obtained from the advertising delivery performance.

Abstract: In an unmanned aerial vehicle system S, a target position Pt to which UAV 1a is headed among a plurality of UAVs 1 is determined on the basis of a position of each of a plurality of ports 2, and the UAV 1a is controlled to fly toward the target position Pt. And then, a port 2x to be used for landing of the UAV 1a is determined on the basis of a reservation status of each of the plurality of ports 2 by the other UAV 1 different from the UAV 1a among the plurality of the UAVs 1 while the UAV 1a is flying toward the target position Pt, and the UAV 1a is controlled to fly toward the determined port 2x.

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.