Abstract: A computer executes a display procedure of displaying a list of character strings registered in advance in response to a predetermined operation for data forming a part of a web page; and a storage procedure of storing a character string selected by a user from the list into a storage device in association with the data, to thereby achieve more efficient labeling of data.

Abstract: An object is to provide an image accumulation apparatus, a method, and a non-transitory computer-readable medium capable of extracting a characteristic video based on an individual emotion. An image accumulation apparatus according to the present disclosure includes an image acquisition unit, an expression classification unit, and an image accumulation unit. The image acquisition unit acquires image data. The expression classification unit classifies face image data included in the image data into a predetermined emotion. The image acquisition unit accumulates the image data associated with emotion identifiers for identifying the classified emotions so that the image data is distributable to a terminal.

Abstract: Provided is an analysis apparatus or the like capable of appropriately determining emotions of a learner or an examinee in online learning or an online examination. An analysis apparatus includes: an emotion data acquisition unit that acquires emotion data regarding learning of each learner, the emotion data being obtained by performing emotion analysis on face image data of a plurality of learners in online learning; and an analysis data generation unit that aggregates emotion data regarding the plurality of learners, compares the emotion data of the plurality of learners, and generates analysis data in which the emotion data of one or more learners is identified.

Abstract: A power tool includes a motor, a spindle, an inner housing, an outer housing formed by an upper member and a lower member, a pair of interposing members and a pair of elastic members. The interposing members are arranged leftward and rightward of the inner housing, respectively, and fixedly connected to a first member, which is one of the upper member and the lower member, and at least partially in contact with an inner surface of the first member. The elastic members are held between a left portion of the inner housing and one of the interposing members and between a right portion of the inner housing and the other of the interposing members, respectively. A first end portion of each of the interposing members has at least one first surface extending to be closer to the inner housing toward a tip end of the first end portion.

Abstract: A heat trace area extraction method executed by a computer, includes: generating a first differential image with respect to a visible image of a background of a certain range for a visible image in which the certain range is captured; generating a second differential image with respect to a thermal image of the background for a thermal image in which the certain range is captured by a thermal camera; and extracting a heat trace area by removing an area of a real object from the thermal image on the basis of the first differential image and the second differential image.

Abstract: A heat trace region extraction device includes an information output unit 181 that outputs information indicating a heat trace region which is a region of a trace of heat, extracted based on an actual object image which is an image of an actual object, obtained by photographing a certain range with an actual object camera for photographing the actual object and a thermal image which is an image of the heat emitted by the actual object, obtained by photographing a certain range with a thermal camera for photographing the heat emitted by the actual object. The information output unit 181 displays information indicating the heat trace region on a transmissive display so that the heat trace region existing in the certain range and information indicating the heat trace region displayed on the transmissive display are aligned with each other.

Abstract: A heat trace region extraction device includes: a difference actual object image generation unit 130 that generates a difference actual object image which is an image of a difference between an actual object image which is an image of an actual object obtained by photographing a certain range with an actual object camera for photographing the actual object and a background actual object image which is an actual object image of a background of the certain range; a difference thermal image generation unit 16 that generates a difference thermal image which is an image of a difference between a thermal image which is an image of heat emitted by the actual object obtained by photographing the certain range with a thermal camera for photographing the heat emitted by the actual object and a background thermal image which is a thermal image of the background; and a heat trace region extraction unit 17 that extracts a heat trace region by removing a region of the actual object from the thermal image based on the diffe

Abstract: A heat trace region extraction device includes a heat trace cause identification unit 31 executing: a first identification process of identifying a heat trace region due to a cause different from a cause by which the heat trace region extracted by past processing of the heat trace region extraction unit 17 among the heat trace regions extracted by latest processing of the heat trace region extraction unit 17; a second identification process of identifying a causal region which is a region which became the cause by which the heat trace region identified in the first identification process became the heat trace using the difference thermal image extracted by past processing of the heat trace region extraction unit 17; and a third identification process of identifying a temperature of the causal region identified in the second identification process from the thermal image corresponding to the difference thermal image used for identifying the causal region.

Abstract: A heat trace region extraction device includes: a difference actual object image generation unit 130 that generates a difference actual object image which is an image of a difference between an actual object image which is an image of an actual object obtained by photographing a certain range with an actual object camera for photographing the actual object and a background actual object image which is an actual object image of a background of the certain range; a difference cold image generation unit 161 that generates a difference cold image which is an image including a region of a difference between a thermal image which is an image of heat emitted by the actual object obtained by photographing the certain range with a thermal camera for photographing the heat emitted by the actual object and a background thermal image which is a thermal image of the background, the region where a temperature in the thermal image is lower than a temperature in the background thermal image being a low temperature region; an

Abstract: The availability of decompression of compressed data can be determined when a computer executes a compression procedure for generating compressed data by compressing input data using an encoder of an auto-encoder which has completed learning, a decompression procedure for generating decompressed data by decompressing the compressed data using a decoder of the auto-encoder, a determination procedure for determining whether the input data has been learned by the auto-encoder based on a difference between the input data and the decompressed data, and a transmission procedure for transmitting the compressed data via a network if it is determined that the input data has been learned, and transmitting the input data via the network if it is determined that the input data has not been learned.

Abstract: Provided is a sensor network capable of acquiring, from a data center, learning data composed of a pair of sensor data (input) and a classification label (output) necessary for adding/changing a classification label for updating a classifier while reducing the volume of communication between a sensor and the center. One aspect of the present invention relates to a sensor network, including one or more sensor nodes and a data center. The sensor node includes: an encoding unit for encoding sensor data by an encoder part of an autoencoder; and a transmission unit for transmitting the encoded data. The data center includes: a reception unit for receiving data encoded from sensor data by the encoder part of the autoencoder; a decoding unit for decoding the encoded data by a decoder part of the autoencoder; and a storage unit for storing the decoded data therein.

Abstract: An estimation step according to an embodiment causes a computer to execute: a calculation step of using a plurality of images obtained by a plurality of imaging devices imaging a three-dimensional space in which a plurality of objects reside, to calculate representative points of pixel regions representing the objects among pixel regions of the images; a position estimation step of estimating positions of the objects in the three-dimensional space, based on the representative points calculated by the calculation step; an extraction step of extracting predetermined feature amounts from image regions representing the objects; and an attitude estimation step of estimating attitudes of the objects in the three-dimensional space, through a preliminarily learned regression model, using the positions estimated by the position estimation step, and the feature amounts extracted by the extraction step.

Abstract: Performing, by a computer, an identification procedure for identifying a partial region in a thermal image corresponding to a visible light image in accordance with a threshold for a temperature; and a processing procedure for processing the region of the visible light image identified in the identification procedure prevents privacy leakage from an image captured by a camera.

Abstract: A computes executes a first transmission procedure for transmitting first information including information on a web page displayed on a web browser to an information processing device connected via a network, a first reception procedure for receiving second information on a screen of a game using the web page, the second information being generated on the basis of the first information by the information processing device, a display procedure for displaying the screen on the basis of the second information, and a control procedure for controlling a process according to an operation of a user with respect to the web page after the screen is displayed, thereby efficiently realizing a game on any web page.

Abstract: A computer executes a display procedure of displaying a list of character strings registered in advance in response to a predetermined operation for data forming a part of a web page; and a storage procedure of storing a character string selected by a user from the list into a storage device in association with the data, to thereby achieve more efficient labeling of data.

Abstract: A sensor node connected to a server device through a communication network includes an acquisition unit configured to acquire sensor data from a sensor included in the sensor node, an identification unit configured to classify the sensor data into a plurality of classes to identify occurrence of a predetermined event based on the sensor data and an identification model created by the server device in advance, a certainty degree calculation unit configured to calculate a degree of certainty of the sensor data as an indicator representing uncertainty of a result of the identification based on the result of the identification, and a transmission unit configured to select sensor data having a minimum degree of certainty from a transmission buffer in which the sensor data and the degree of certainty of the sensor data are stored in association with each other, and transmit the selected sensor data to the server device.

Abstract: A device for fabricating a three-dimensional fabrication object includes a fabrication part, a flattening member to place powder in the fabrication part to form an excessively thick powder layer and remove the powder on the top surface side of the excessively thick powder layer multiple times to obtain a powder layer while moving in a direction orthogonal to a lamination direction of the powder layer, and a fabrication unit to bind the powder in the powder layer to form a laminar fabrication object, (wherein the laminar fabrication object is formed repeatedly to fabricate the three-dimensional fabrication object), wherein the amount of a layer thickness of the powder removed for the last time is less than that for any other time.

Abstract: Provided is a sensor network capable of acquiring, from a data center, learning data composed of a pair of sensor data (input) and a classification label (output) necessary for adding/changing a classification label for updating a classifier while reducing the volume of communication between a sensor and the center. One aspect of the present invention relates to a sensor network, including one or more sensor nodes and a data center. The sensor node includes: an encoding unit for encoding sensor data by an encoder part of an autoencoder; and a transmission unit for transmitting the encoded data. The data center includes: a reception unit for receiving data encoded from sensor data by the encoder part of the autoencoder; a decoding unit for decoding the encoded data by a decoder part of the autoencoder; and a storage unit for storing the decoded data therein.

Abstract: A device for fabricating a three-dimensional fabrication object includes a fabrication part, a flattening member to place powder in the fabrication part to form an excessively thick powder layer and remove the powder on the top surface side of the excessively thick powder layer multiple times to obtain a powder layer while moving in a direction orthogonal to a lamination direction of the powder layer, and a fabrication unit to bind the powder in the powder layer to form a laminar fabrication object, (wherein the laminar fabrication object is formed repeatedly to fabricate the three-dimensional fabrication object), wherein the amount of a layer thickness of the powder removed for the last time is less than that for any other time.

Abstract: A subject of the present invention is to provide a loan management system and a loan management method, which can facilitate security management when mainly movable property that is liable to change in state or value of the thing is taken as security, relative to a business proprietor who requires raising of working funds for stock, but has difficulty in raising the funds due to insufficient security. The present invention is a loan management system having a security managing database provided with a loan balance managing table, a security evaluation managing table, and a loan line calculating table, and characterized by being connected via a communication network to an external system such as a VMI system having records of information about collaterals, and to a borrower terminal, and by acquiring the newest information about the collaterals from the foregoing external system to thereby carry out security management.