Abstract: An audio content providing apparatus (2000) acquires user position information (80) that indicates a user position (30). The audio content providing apparatus (2000) sets a sound image localization position (50) on the basis of the user position (30) and a reference position (40), in a case where a user (20) is present in a target region (70). Here, a distance between the user position (30) and the sound image localization position (50) is shorter than a distance between the user position (30) and the reference position (40). The audio content providing apparatus (2000) outputs audio content (10) such that a sound image is localized at the sound image localization position (50).

Abstract: An information processing device 100 of the present disclosure includes: an acquisition unit 121 that acquires a model that is generated for each elapsed period, and has learned by machine learning to output a measure for a human by receiving input of a plurality of types of feature value representing a condition of the human; a collection unit 122 that collects first output that is obtained when a predetermined number of types of feature value are input to the model of each elapsed period, and second output that is obtained when some types of feature value in the predetermined number of types of feature value are input to the model of each elapsed period; and a setting unit 123 that sets, on the basis of the first output and the second output, types to be associated with the model of each elapsed period. Thereby, the information processing device 100 can be used for assistance of decision-making by a user, or the like.

Abstract: A master RAN node (1) associated with a master RAT (1) communicates with a secondary RAN node (2) associated with a secondary RAT and provides a radio terminal (3) with dual connectivity that uses the master RAT and the secondary RAT. In response to receiving, from the radio terminal (3) or a core network (4), terminal capability information indicating that the radio terminal (3) supports the split bearer, the master RAN node (1) uses a PDCP entity, which provides unified PDCP functionalities, for a master cell group split bearer for the radio terminal (3).

Abstract: An imaging condition determination system according to the present disclosure includes: a reference data holding unit (101) configured to hold reference data representing a position of an object; an indication object holding unit (102) configured to hold an indication object representing a position of a target object on the reference data; an imaging condition determination unit (103) configured to determine an imaging condition of LiDAR for imaging the target object based on the reference data and the indication object; and an imaging condition output unit (104) configured to output the imaging condition.

Abstract: A patrol route determination system according to one aspect of the present disclosure includes: a measurement position information storage unit configured to store information regarding a plurality of pieces of equipment and information regarding measurement positions for the plurality of pieces of equipment in association with each other; a measurement position determination unit configured to determine a measurement position based on information regarding the measurement target, information regarding the measurement device, and the information regarding the measurement position set for each piece of equipment stored in the measurement position information storage unit; and a patrol route determination unit configured to determine a patrol route along which the measurement device autonomously moves in the facility and makes a patrol of the measurement target equipment by using information regarding the measurement position for the measurement target equipment.

Abstract: An optical transmission device includes: a route control unit that outputs user data including destination information to a first channel or a second channel, based on a latency associated with each destination included in the destination information; a first optical transmission unit that treats the user data as first data when the user data are output to the first channel, converts the first data into a first optical signal by first error correction coding processing and a first modulation method, and transmits the first optical signal; and a second optical transmission unit that treats the user data as second data when the user data are output to the second channel, converts the second data into a second optical signal by second error correction coding processing different from the first error correction coding processing, and a second modulation method different from the first modulation method, and transmits the second optical signal.

Abstract: An object of the present disclosure is to provide an optical transmission apparatus, system, method, and non-transitory computer readable medium that can reduce noise generated due to IQ mixing in a subcarrier multiplexing method. An optical transmission apparatus according to the present disclosure includes pilot addition means for generating a first digital signal by adding a first pilot signal to a first data signal and generating a second digital signal by adding a second pilot signal to a second data signal, and optical modulation means for generating an optical modulation signal by optically modulating the first digital signal with a first subcarrier (SC1) included in a negative frequency band to a center frequency of a used frequency band, optically modulating the second digital signal with a second subcarrier (SC2) included in a positive frequency band to the center frequency of the used frequency band, and transmitting the optical modulation signal.

Abstract: The authentication data generation device controls a single image-taking device to take images of a plurality of authentication parts of the authentication target person with different settings. Then, the authentication data generation device outputs taken images of the plurality of authentication parts obtained by the image-taking as authentication data for the authentication parts.

Abstract: In order to make it possible to generate a synthetic instance for more efficiently improve prediction accuracy of a machine learning model, an information processing apparatus (10) includes: an acquisition section (11) for acquiring a plurality of training instances; a selection section (12) for selecting, from the plurality of training instances, two or more training instances each of which derives one or more uncertain prediction results obtained using one or more machine learning models that output prediction results while using instances as input; and a generation section (13) for generating a synthetic instance by combining the two or more training instances which have been selected by the selection section (12).

Abstract: A policy consistency verification apparatus includes a policy conversion part configured to generate an If-Then rule approximating a policy function used as an input, wherein the policy function is generated from policy definition defining attribute value of access and a rule regarding accessibility to obtain an output of accessibility from inputs of the attribute value; and an error sample generation part configured to verify consistency between the If-Then rule and the policy definition to generate inconsistent attribute value as an error sample.

Abstract: An anonymization apparatus includes: an acquiring unit that acquires boundary information indicating the boundary between clusters, specified by performing an anonymization process on predetermined data; and a dividing unit that generates an anonymized cluster set by dividing data possessed by the anonymization apparatus into a plurality of clusters based on the boundary information acquired by the acquiring unit.

Abstract: A search space limitation apparatus including: an acquisition unit that acquires first neural network information, first search space information, and allowable distance information; a generation unit that generates neural network architecture information relating to the architecture of the first neural network, based on the first neural network information; a determination unit that determines a second search space which is a range, in the first search space, for searching for the architecture of the second neural network, based on the neural network architecture information, the first search space information and the allowable distance information; and an output control unit that outputs second search space information relating to the second search space to an output device.

Abstract: A measurement condition optimization system according to an aspect of the present disclosure includes: a three-dimensional data input unit that inputs three-dimensional data of a measurement target installation in a predetermined facility measured using a measurement device; an overlapping portion determination unit that performs alignment processing on each piece of the input three-dimensional data, and determines an overlapping portion included in the three-dimensional data after the alignment processing; a measurement policy acquisition unit that acquires a measurement policy at the time of acquiring the three-dimensional data of the measurement target installation in the facility using the measurement device; and a measurement condition adjustment unit that adjusts a measurement condition to satisfy the measurement policy acquired by the measurement policy acquisition unit and make the overlapping portion included in the three-dimensional data determined by the overlapping portion determination unit withi

Abstract: An information processing device 100 of the present disclosure includes: an acquisition unit 121 that acquires a model that is generated for each elapsed period, and has learned by machine learning to output a measure for a human by receiving input of a plurality of types of feature value representing a condition of the human; a collection unit 122 that collects first output that is obtained when a predetermined number of types of feature value are input to the model of each elapsed period, and second output that is obtained when some types of feature value in the predetermined number of types of feature value are input to the model of each elapsed period; and a setting unit 123 that sets, on the basis of the first output and the second output, types to be associated with the model of each elapsed period. Thereby, the information processing device 100 can be used for assistance of decision-making by a user, or the like.

Abstract: Provided is an information processing device including: an inspection signal generation unit configured to generate an inspection signal for emitting an inspection sound toward an ear canal of a subject; a first acoustic information acquisition unit configured to acquire a first acoustic information including information about an echo sound of the inspection sound; and a heartbeat information acquisition unit configured to acquire a heartbeat information about a heartbeat of the subject based on the first acoustic information.

Abstract: An information processing apparatus (2000) acquires time-series data (14) output by a sensor (10) and computes a plurality of feature constants ?i and a contribution value ?i representing contribution with respect to the time-series data (14) for each feature constant ?i. Thereafter, the information processing apparatus (2000) outputs information in which a set ? of the feature constants ?i and a set ? of the contribution values ?i are associated with each other as a feature value of a target gas. As the feature constant ?, a velocity constant ? or a time constant ? that is a reciprocal of the velocity constant can be adopted.

Abstract: A convergence determination unit determines whether a state of the bucket has converged to a current target state. A target state update unit is configured to update a target state of the bucket when the convergence determination unit determines that the state of the bucket has converged to the current target state. The convergence determination unit includes a first convergence determination unit and a second convergence determination unit. The first convergence determination unit determines whether a swing angle of each mechanism has converged to the corresponding target swing angle under a first convergence condition. The second convergence determination unit determines whether a swing angle of each mechanism has converged to the corresponding target swing angle under a second convergence condition, which is stricter than the first convergence condition.

Abstract: A computer-implemented method is provided for disentangled data generation. The method includes accessing, by a bidirectional Long Short-Term Memory (LSTM) with a multi-head attention mechanism, a dataset including a plurality of pairs each formed from a given one of a plurality of input text structures and given one of a plurality of style labels for the plurality of input text structures. The method further includes training the bidirectional LSTM as an encoder to disentangle a sequential text input into disentangled representations comprising a content embedding and a style embedding based on a subset of the dataset. The method also includes training a unidirectional LSTM as a decoder to generate a next text structure prediction for the sequential text input based on previously generated text structure information and a current word, from a disentangled representation with the content embedding and the style embedding.

Abstract: An image display device includes an approach situation information acquirer that acquires approach situation information indicating approach of at least part of a customer's body to a shelf on which a plurality of items are displayed and indicating, when there is the approach, a position of the approach on the shelf at each time; an associator that associates the approach situation information with one item of the plurality of items according to the position indicated by the approach situation information; an index value calculator that calculates an index value relating to the customer's behavior on the basis of information indicating the item associated with the approach situation information; and a display unit that displays the index value calculated by the index value calculator together with an image of the item on the basis of the association made by the associator.

Abstract: Provided a method comprising: obtaining waveform data sets of a periodic electric waveform signal, with a length set to one cycle time; calculating a frequency spectrum for each waveform data set; extracting and separating odd and even frequency harmonics to create odd and even frequency harmonic matrices on which a canonical correlation analysis (CCA) being applied to obtain CCA features; performing linear transformation on the CCA features to obtain linear transformed features; generating a model based on the linear transformed features; performing magnitude quantization of frequency spectrums of waveform data sets to identify normal and anomalous waveform signals.