Abstract: A prediction method executed by a prediction apparatus includes searching for past time-series data similar to time-series data of search target and, based on a result of the searching and information corresponding to an event in past, calculating prediction information for predicting occurrence of the event.

Abstract: A semiconductor device (100) includes: first storage means (110) storing, in advance, a plurality of pieces of execution order inspection information (111˜11n) used for inspection of an execution order of a plurality of code blocks in a predetermined program, second storage means (120), which is a cache for the first storage means, and prediction means (130) for predicting a storage area of the execution order inspection information based on prediction auxiliary information in a first code block of the plurality of code blocks and a control flow graph of the program, the storage area being a prefetch target to be prefetched from the first storage means to the second storage means.

Abstract: A data transformation apparatus (1) includes: data transformation means (11) for performing data transformation on each of a plurality of data sets so that data distributions of the plurality of data sets are brought close to each other; first calculation means (12) for calculating a class classification loss from a result of class classification performed by class classification means on at least some of a plurality of first transformed data sets obtained after the data transformation; second calculation means (13) for calculating an upper bound and a lower bound of a domain classification loss from a result of domain classification performed by domain classification means on each of the plurality of first transformed data sets; and first learning means (14) for performing first learning by updating a parameter of the domain classification means so that the upper bound is reduced and updating a parameter of the data transformation means so that the class classification loss is reduced and the lower bound is

Abstract: A resonator, an oscillator, and a quantum computer in which the area occupied by the circuit can be reduced is provided. A resonator (100) includes a loop circuit (110) in which a first superconducting line (101), a first Josephson junction (103), a second superconducting line (102), and a second Josephson junction (104) are connected in a ring shape, and a capacitor (120). The capacitor (120) and the loop circuit (110) are connected in a ring shape.

Abstract: A light-receiving device includes: a light guide plate of a transparent member having a first surface and a second surface as principal surfaces opposed to each other and an emission surface formed on at least one end of the transparent member; a lens sheet having lenses and is disposed opposite to the first surface; a support member that supports the lens sheet such that a distance between the principal surface of the lens sheet and the second surface is equal to the focal distance of the lenses; a directional light-guide layer that is disposed on the second surface of the light guide plate and guides, toward the emission surface, the travel direction of an optical signal entering the light guide plate; and a receiver that receives the optical signal emitted from the emission surface of the light guide plate and converts the received optical signal into an electric signal.

Abstract: An information processing apparatus according to the present invention includes: a reception unit that receives usage reservation of a virtual machine for each usage time zone; a control unit that permits reception of the usage reservation until the number of the usage reservations in the usage time zone reaches a predetermined total number of the virtual machines that can operate simultaneously; and an assignment unit that assigns the usage reservation to any one of the virtual machines with respect to the usage time zone and enables a user to use the virtual machine.

Abstract: A data management method is a data management method in a data distribution system that manages, by using a blockchain, a distribution of data provided by a data provider. The data management method includes: receiving a token that is included in a second transaction and that indicates a result of determination of “permitted”, after a first transaction is registered in the blockchain and after the second transaction is registered in the blockchain, the first transaction indicating a use request for the data by a data user, the second transaction including the token that indicates a result of determination by the data provider with respect to the use request indicated by the first transaction; and providing the data to the data user on condition that the token is received.

Abstract: A learning apparatus includes: an identification unit that identifies a class of input data by using a learnable learning model; and an update unit that updates the learning model, by using an objective function based on relevance between a first index value for evaluating accuracy of a result of identification of the class of the input data and a second index value for evaluating time required to identify the class of the input data.

Abstract: Provided is an information processing device including an acquisition unit configured to acquire first load information measured by a first load measurement device provided on a sole of a user and second load information measured by a second load measurement device provided between a toe of the sole and the first load measurement device and a feature amount extracting unit configured to extract a feature amount used for identifying the user based on the first load information and the second load information.

Abstract: A determination device includes an acquisition unit that sequentially acquires a plurality of elements included in series data related to a classification target, a score calculation unit that calculates an integrated score for binary classification of the classification target in each time the acquisition unit acquires the elements, a class determination unit that determines a determination result of the binary classification as a first class, a second class, or class indetermination, on the basis of comparison between the integrated score and the upper limit threshold value and the lower limit threshold value of the integrated score in each time the acquisition unit acquires the elements, and a class classification learning unit that performs learning of the integrated score such that the integrated score has a value between the upper limit threshold value and the lower limit threshold value for series data in which the class indetermination is shown.

Abstract: Provided is an information processing device including an acquisition unit configured to acquire load information based on a load applied to a load measurement device from a sole of a user and a feature amount extracting unit configured to extract a feature amount indicating a walking environment from time series data in at least one walking cycle included in the load information.

Abstract: An estimation apparatus (30) includes a first estimation unit (31) configured to estimate a first pulse rate from a first video data which is captured a body part and output a first feature data derived based on the first video data; a training unit (32) configured to train a determination model to determine a confidence value which indicates an reliability in the estimation of the first pulse rate and a physiological information measured from the body; an acquiring unit (33) configured to acquire a second feature data derived by the first estimation unit, and acquire the confidence value of the second pulse rate using the second feature data and the determination model trained by the training unit; and a second estimation unit (34) configured to estimate a third pulse rate based on the acquired confidence value.

Abstract: A multilinear domain-specific domain generalization (MDSDG) approach that utilizes information stored in multilinear indices of data domains to improve machine learning. In particular—based on limited sample size(s) in observed scenarios—an array of models is jointly trained, which advantageously are generalized to a new, unseen scenario, where only domain descriptions in the form of multilinear indices are available.

Abstract: An antenna diameter adjustment method for adjusting an antenna diameter by changing a distance between a part of each of a plurality of reflectors at which the radio signal is reflected, the plurality of reflectors each being configured to reflect radio signals emitted from a plurality of radiators from a center of a circle along a radial direction thereof and to radiate the radio signal toward an opposite antenna apparatus, and the center of the circle along the radial direction of the circle.

Abstract: The object of the present invention is to provide a production method and a production apparatus for a thin film of aligned carbon nanotubes. The present invention relates to a production method for an aligned carbon nanotube film having a film thickness of less than 1000 nm, including a step of causing a part of a dispersion solvent liquid of a carbon nanotube dispersion liquid to permeate to a lower surface side of a filter paper while causing the carbon nanotube dispersion liquid to flow in one direction on an upper surface of the filter paper, and a production apparatus that can be used for said method.

Abstract: An image processing device includes a receiver configured to receive a plurality of images of a subject from a camera; and a processor configured to: calculate, for each of the plurality of images, an angle difference between a gaze angle and a head angle of the subject to obtain a series of angle differences; and determine an authenticity of the subject at least based on the series of angle differences.

Abstract: In order to provide an electronic trading system contributing to providing fair trading, an electronic trading system includes a plurality of management servers, a participant terminal, and a trading management server. The plurality of management servers provide a first electronic bulletin board. The participant terminal writes bid data in the first electronic bulletin board. The trading management server acquires the written bid data, and uses the acquired bid data to execute trading through Zaraba method. The trading management server generates a public key and a private key. The participant terminal uses the public key generated by the trading management server to encrypt the bid data. The trading management server uses the private key to decrypt the encrypted bid data.

Abstract: A learning device is configured to acquire first training data that is training data regarding a registered category object and second training data regarding an unregistered category object, the registered category object belonging to a registered category which is registered as an identification target, the unregistered category object not belonging to the registered category. The learning device is also configured to calculate, on a basis of the first training data and the second training data, an identification score indicating a degree of certainty that an object to be identified belongs to the registered category. The learning device is also configured to calculate, on a basis of the second training data, an unregistered score indicating a degree of certainty that the object to be identified does not belong to the registered category.

Abstract: A determination device includes an acquisition unit that sequentially acquires a plurality of elements included in series data related to a classification target, a score calculation unit that calculates an integrated score for binary classification of the classification target in each time the acquisition unit acquires the elements, a class determination unit that determines a determination result of the binary classification as one of a first class, a second class, and class indetermination, on the basis of comparison between the integrated score and the upper limit threshold value and the lower limit threshold value of the integrated score in each time the acquisition unit acquires the elements, and a remaining time estimation unit that calculates an index value of a remaining time required for the class determination unit to determine a final determination result of the binary classification as one of two classes.

Abstract: In order to enable control related to radio communication to be performed more appropriately when radio transmission schemes coexist, a radio communication apparatus according to an example aspect of the present invention includes a radio communication processing unit configured to perform communication using a first radio transmission scheme within a frequency band, wherein the radio communication processing unit is configured to perform communication using a second radio transmission scheme within a bandwidth part of the frequency band, radio resources within the bandwidth part being allocable for communication using the second radio transmission scheme.