Abstract: Provided is an information-processing device including: a CPU; and a memory storing instructions for causing the information-processing device, when executed by the CPU, to: select M (M?N) images from N (N>1) images; generate a combined image by arranging the selected M images in M frames defined in advance, respectively; and determine a total assessment value in association with the generated combined image, the total assessment value including at least a linear sum of a selection assessment value being a linear sum of single image assessment values of the selected M images and a combination assessment value being a single image assessment value of the combined image.

Abstract: A display (101) displays a foreground window in which a video is played on a screen and so as to hide a portion of a background window in which content including a user-operable interactive element is provided. A detector (102) detects hiding of the interactive element by the foreground window. When the hiding is detected, a changer (103) changes at least either a position or a size of the foreground window so that a portion or an entirety of a hidden portion of the interactive element is no longer hidden.

Abstract: Provided is an authentication system (S) configured as follows. Input information acquisition means (101, 201) acquires input information, which relates to a feature of an outer appearance of a card possessed by a user, and has been input from a user terminal (30). Identification information acquisition means (104, 202) acquires identification information that enables identification of the card. Registered information acquisition means (105, 203) acquires registered information, which relates to the feature of the outer appearance, and has been registered in a server (10, 20) in association with the identification information in advance. Authentication means (102) executes the authentication based on the input information and the registered information.

Abstract: The sensing system S extracts a target area to be subjected to short-distance sensing by the UGV 2 on the basis of the long-distance sensing data obtained by the UAV 1 in the air performing long-distance sensing on a lower place, perform movement control for moving the UGV 2 toward the target area. And then, the sensing system S acquires short-distance sensing data obtained by performing short-distance sensing on the whole or a part of the target area by the UGV 2 that has moved according to the movement control.

Abstract: An information processing apparatus acquires a satellite image, estimates, in the satellite image, an open area with a spatial extent where base station placement for wireless communication is possible, calculates openness of the open area using rays virtually cast from a predetermined position in the open area, and determines, based on the openness, whether or not the open area is a site appropriate for base station placement.

Abstract: The present disclosure relates to a recommender system and method. Unlike known systems, which learn neural network parameters during training and fix the input vectors, the recommender system learns both the input vectors and machine learning model parameters during training. In one embodiment, the initial user and item input vectors are interaction vectors that are based on known and unknown user feedback. The non-zero elements of the interaction vectors correspond user-item pairs for which feedback is known, and the zero elements corresponding to user-item pairs for which feedback is unknown. The non-zero elements of the interaction vectors are learnable parameters during the training phase. The user and item vectors, as well as the model parameters, learned during the training phase are used in a prediction and recommendation phase to make product recommendations for a user.

Abstract: A control system acquires predicted tsunami information, and generates a flight plan for unmanned aerial vehicles. The flight plan includes flight paths along safety boundaries between an expected damage area and a safe area. The expected damage is an area expected to be damaged by the tsunami indicated by the predicted tsunami information. The safe area is an area to be safe from damage caused by the tsunami. The control system transmits the flight plan to the unmanned aerial vehicles.

Abstract: To speed up image processing, an obtaining means of an image processing system obtains a captured image of a document that includes a fixed part and an un-fixed part, where the document is captured by an image reader or an image capture device. A first shaping means shapes the captured image based on a feature of the document in a sample image and a feature of the document in the captured image so as to obtain a first shaped image. A detecting means detects a feature part of the fixed part from the first shaped image. A second shaping means shapes the first shaped image such that a position of the feature part detected by the detecting means is aligned with a predetermined position so as to obtain a second shaped image.

Abstract: A distribution system, an information processing device, and a method that can manage a last time at which a human touched an article prior to the article being received, or can manage an amount of elapsed time from that last time. The distribution system 1 includes a first distribution mechanism 10 that includes a first transporter 11 that transports an article to a destination of the article. The distribution system 1 also includes a manager that manages a first time that is a time earlier than a receiving time at which the article transported by the first transporter 11 is received and that is a last time at which a human contacted the article, or manages a first amount of elapsed time that is an amount of elapsed time from the first time.

Abstract: A fraud detection system, comprising at least one processor configured to: acquire, based on a first fraud detection engine for detecting a fraud in a first service, a second fraud detection engine for detecting a fraud in a second service; acquire fraud information relating to a fraud that has actually occurred in the second service; determine, based on the fraud information, whether a fraud in the second service is detectable by the second fraud detection engine; and apply, when it is determined that a fraud in the second service is detectable by the second fraud detection engine, the second fraud detection engine to the second service.

Abstract: At least one processor determines, based on reward information, whether a content of a reward satisfies a predetermined condition; at least one processor makes a first determination of, when the content of the reward does not satisfy the predetermined condition, whether user identification information is associated with terminal identification information on any one of a plurality of wearable terminals belonging to an operator; and at least one processor makes a second determination of whether the terminal identification information transmitted by a user terminal matches the terminal identification information on any one of the plurality of wearable terminals belonging to the operator.

Abstract: The purpose of the present disclosure is to enable more accurate measurement of the advertising effectiveness. Provided is an information processing device having: a first receiver that receives first identification information for identifying a container used by a user, from a display device that displays an advertisement about a product; a second receiver that receives, from a terminal, second identification information for identifying a container used by a user who purchased a product and product information about the product; and a determination section that determines that the user who used the container purchased the product after viewing the advertisement, when the first identification information received from the display device matches the second identification information received from the terminal and further the product information received from the terminal corresponds to the advertisement displayed on the display device.

Abstract: An information processing device extracts, from an image taken by an imaging device, a human area in which it is determined that a human is present, acquires a representative value of first feature values, the first feature values being calculated by inputting, to a conversion function, each color of pixels included in a part of the human area, corrects, based on the representative value, a skin range indicating that a color indicated by a feature value acquired with the conversion function is a color of human skin, and determines whether a human is present in a part of the image acquired by the imaging device, based on whether a second feature value calculated with the conversion function for each of a plurality of pixels forming the part of the image is within the corrected skin range.

Abstract: A center server manages first position information of a first delivery source where an article to be delivered is handled and an unmanned vehicle is deployed, and second position information of a second delivery source where the article is handled and no unmanned vehicle is deployed, and acquires attribute information of an article which is designated as a delivery target by a user and third position information of a delivery destination of the article. The center server selects, on the basis of attribute information of the article, a delivery method of a first delivery method for delivering the article handled at the first delivery source to the delivery destination by the unmanned vehicle or a second delivery method for delivering the article handled at the second delivery source to the delivery destination by an unmanned vehicle deployed at a base located at a place different from the second delivery source.

Abstract: An unmanned aerial vehicle (UAV) includes propellers, motors configured to drive the propellers, respectively, a main body including a control device configured to control the motors, and a wireless device configured to perform at least one of transmission or reception of a signal, a package container for containing a package, and at least one float. In a case where the UAV is placed on water, buoyancy of the float and the package container prevents a surface of the water from reaching at least a height of the wireless device. The buoyancy of the package container increases with the volume of the package container.

Abstract: To improve utilization efficiency of a delivery port and an unmanned aerial vehicle (UAV), a delivery port management system includes obtaining means for obtaining a delivery destination of a package that is transported by a UAV approaching a facility having a plurality of delivery ports and a plurality of delivery destinations, the delivery ports receiving packages, port selecting means for selecting a delivery port to which the UAV delivers the package among the plurality of delivery ports based on the delivery destination of the package after the UAV has departed for the facility, and guiding means for sending information for guiding the UAV to the selected delivery port.

Abstract: Authentication means (102) of an authentication system (S) performs authentication based on authentication information acquired by using an authentication terminal (30) and authentication information registered in storage means (100) in association with identification information on a user in a vicinity of the authentication terminal (30). Possibility determination means (103) determines, when there are a plurality of users in the vicinity of the authentication terminal (30), whether there is a possibility of one user being authenticated as another user. Restriction means (104) restricts successful authentication when it is determined that there is the possibility.

Abstract: A streamer terminal (102) makes (122), upon receiving text, the text appear in a screen, determines (123) whether a streamer pays attention to the text, until the text exits from the screen, and executes (124) a predetermined attention process on text-of-attention that the streamer is determined to pay attention to. Each terminal (103) of viewer terminals classified into any one of groups transmits (132) text accepted from a viewer using each terminal to the streamer terminal (102) and another viewing terminals (103) belonging to an identical group, receives (133) text transmitted from another viewer terminal belonging to the identical group, and makes (134) the text appear in a screen. The streamer terminal (102) transmits (124) the text-of-attention to viewer terminals (103) classified in another group, and each terminal of the viewer terminals (103), upon receiving the text-of-attention, makes the text-of-attention appear in the screen.

Abstract: In an information processing device to streaming-distribute a video, based on a distance image in which a streamer is captured, an acquirer (101) acquires a depth distribution in the distance image. A determiner (102) determines a threshold value, based on the acquired depth distribution. An specifier (103) specifies, in the distance image, a distant region where depth is greater than the threshold value and a near region where depth is less than the threshold value. A provider (104) provides, in conjunction with the video, to a viewer terminal (300) to which the video is to be streaming-distributed, control information to set the distant region as a background, set the near region as a foreground, superimpose provided information over the background, and superimpose the foreground over the background over which the provided information is superimposed.

Abstract: The unmanned aerial vehicle system S identifies a landing point candidate that is a candidate for an emergency landing point for causing an UAV 1 flying toward a destination point to make an emergency landing at other than the destination point and calculate a recovery cost regarding a recovery route candidate connecting a reference point and the landing point candidate, the recovery cost being used to determine a recovery route connecting the reference point and the emergency landing point or the emergency landing point.