Abstract: A data processing system according to the present disclosure includes an acquisition unit and a production unit. The acquisition unit acquires on-site investigation data related to the space. The production unit changes, with respect to article data of the article to be placed in the space, at least one of a dimension, design, and a function on the basis of the on-site investigation data so as to achieve harmony with the space and produces article processing data for processing the article according to the article data after the change. The on-site investigation data includes space-related data related to the space. The production unit produces the article processing data on the basis of the space-related data.

Abstract: An information processing device according to an embodiment estimates a probability distribution of a maximum value or a minimum value of time-series target sensor data in a designated estimation period after a base time. The information processing device includes one or more hardware processors that: calculate a reference feature amount representing a feature of related sensor data at a reference time before the base time based on a preset feature amount calculation model; estimate a reference distribution parameter in a reference period based on a preset parameter estimation model; update the feature amount calculation model and the parameter estimation model; calculate an estimation feature amount representing the feature of related sensor data at the base time based on the updated feature amount calculation model; and estimate an estimation distribution parameter based on the updated parameter estimation model.

Abstract: A three-terminal capacitor includes a main body having a cylindrical or substantially cylindrical shape extending in a first direction and including first and second inner electrodes alternately laminated together with dielectric layers interposed therebetween, a pair of first outer electrodes on two end surfaces of the main body in the first direction and electrically connected to the first inner electrodes, and a second outer electrode electrically connected to the second inner electrodes. The main body includes a projecting portion projecting in a direction perpendicular or substantially perpendicular to the first direction at a position between the pair of first outer electrodes. The second outer electrode is provided on one surface of the projecting portion viewable when viewed in the first direction.

Abstract: An information processing device incudes one or more hardware processors. The processors calculate first similarities between a plurality of probabilistic models each modeling a probability of a value, at corresponding time, of time series data whose data length is a specific value, and a plurality of pieces of partial time series data whose data length is the specific value, the plurality of pieces of partial time series data being contained in target time series data to be a target of diagnosis; and determine a plurality of pieces of matching information including positions of the plurality of pieces of partial time series data in the target time series data, first probabilistic models whose first similarities with respect to the plurality of pieces of partial time series data at the positions are larger than other probabilistic models, and the first similarities to the first probabilistic models.

Abstract: An information processing apparatus includes a candidate generating unit and a correcting unit. The candidate generating unit generates, using first log information indicating states of a monitoring target and acquired in a certain time period, a frequently appearing transition path of states of the monitoring target, as a candidate of a first path that is a transition path presumed to represent a first specific condition. The correcting unit obtains the first path by correcting the candidate using a predetermined reference path.

Abstract: An information processing device includes processing circuitry configured to classify a plurality of partial waveform patterns that characterize a plurality of time series data into a plurality of classes based on the plurality of time series data classified into the plurality of classes, update shapes of the partial waveform patterns by fitting the partial waveform patterns to the time series data of the corresponding class, and reclassify the plurality of time series data into the plurality of classes based on the updated partial waveform patterns and difficulty levels that represent degrees of difficulty of classification and interpretation of the time series data.

Abstract: An information processing apparatus according to one embodiment includes one or more hardware processors connected to a memory. The hardware processors functions to store, in the memory, history information including identification information of a model and a history of updating the model. The model receives input data including variables and outputs output data. The variables are each a variable for which a rate of influence on the output data is calculated. The model has been updated by using first input data. The hardware processors functions to select a target model to be updated by using second input data. The target model is selected from among models identified by their respective identification information. The hardware processors functions to update the target model by performing transfer learning in which updated parameters are estimated by using the second input data.

Abstract: One embodiment of the present invention provides an apparatus and the like for improving the accuracy of deterioration estimation regarding a monitoring target. An information processing apparatus as one embodiment of the present invention includes a detector, a separator, a calculator, and an estimator. The detector detects a normal waveform pattern included in a waveform of time-series data of a target. The separator separates the waveform of the time-series data into components while removing the normal waveform pattern that is detected. The calculator calculates a feature of the time-series data based on at least one of the components. The estimator estimates deterioration of the target based on the feature.

Abstract: One embodiment of the present provides an apparatus and the like that uses a model that estimates shapelet deformation which is according to variations in an anticipated factor, and thereby suppresses a drop in classification performance even if the circumstances of the anticipated factor are different between training and testing. An information processing apparatus according to one embodiment of the present invention is provided with an adjuster and a feature calculator. The adjuster adjusts the shape of a reference waveform pattern corresponding to time series data and used to classify the time series data, on the basis of the value of a factor parameter corresponding to the time series data. The feature calculator calculates a feature of a waveform of the time series data on a basis of the shape of the reference waveform pattern after the adjustment.

Abstract: An information processing apparatus as one embodiment of the present invention includes a feature value calculator, a classifier, an updater, and a detector. The feature value calculator calculates feature values of waveforms of a plurality of time-series data for each of a plurality of reference waveform patterns. The classifier acquires a classification result by inputting the feature values to a classification device. The updater updates a shape of each of the reference waveform patterns, and a plurality of parameters of the classification device. The detector detects reference waveform patterns having a relationship, from the plurality of reference waveform patterns, based on the parameters of the classification device.

Abstract: An information processing device according to an embodiment estimates a probability distribution of a maximum value or a minimum value of time-series target sensor data in a designated estimation period after a base time. The information processing device includes one or more hardware processors that: calculate a reference feature amount representing a feature of related sensor data at a reference time before the base time based on a preset feature amount calculation model; estimate a reference distribution parameter in a reference period based on a preset parameter estimation model; update the feature amount calculation model and the parameter estimation model; calculate an estimation feature amount representing the feature of related sensor data at the base time based on the updated feature amount calculation model; and estimate an estimation distribution parameter based on the updated parameter estimation model.

Abstract: An information processing device includes processing circuitry configured to classify a plurality of partial waveform patterns that characterize a plurality of time series data into a plurality of classes based on the plurality of time series data classified into the plurality of classes, update shapes of the partial waveform patterns by fitting the partial waveform patterns to the time series data of the corresponding class, and reclassify the plurality of time series data into the plurality of classes based on the updated partial waveform patterns and difficulty levels that represent degrees of difficulty of classification and interpretation of the time series data

Abstract: An information processing device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to: generate a plurality of segments segmented by respective operating states of a target device based on time-series sensor data detected by a sensor that observes the target device; extract target data included in a segment having the same operating state as the operating state at certain first time out of the segments; and generate estimated data estimated to be output from the sensor at specified time different from the first time based on the target data.

Abstract: One embodiment of the present invention provides an apparatus and the like for improving the accuracy of deterioration estimation regarding a monitoring target. An information processing apparatus as one embodiment of the present invention includes a detector, a separator, a calculator, and an estimator. The detector detects a normal waveform pattern included in a waveform of time-series data of a target. The separator separates the waveform of the time-series data into components while removing the normal waveform pattern that is detected. The calculator calculates a feature of the time-series data based on at least one of the components. The estimator estimates deterioration of the target based on the feature.

Abstract: One embodiment of the present invention provides an information processing apparatus for precisely estimating a state of equipment. An information processing apparatus as one embodiment of the present invention includes: an acquirer; a calculator; and a determiner. The acquirer is configured to acquire first data about a predetermined target. The calculator is configured to calculate distribution of magnitude of a value included in the first data. The determiner is configured to determine a portion of a width of the distribution as a specific range used for estimating a state of the target based on the distribution.

Abstract: An information processing apparatus has a model construction unit that constructs a model represented using a plurality of variables corresponding to a plurality of classes, an evaluated value calculation unit that calculates an evaluated value of the model constructed by the model construction unit, a correlation specification unit that specifies a correlation between some variables among the plurality of variables based on the calculated evaluated value, a variable processing determination unit that determines whether to perform at least one of creation, integration, and stratification of at least some variables among the plurality of variables based on the correlation specified by the correlation specification unit, and a variable processing unit that performs at least one of creation processing, integration processing, and stratification processing of the variables when the at least one of the creation, the integration, and the stratification of the variables is determined to be performed.

Abstract: An apparatus according to one embodiment of the present invention detects an abnormality of a monitoring target on the basis of state data of the target and includes an estimated data calculator, a deviation degree calculator, an abnormality degree calculator, and an abnormality determiner. The estimated data calculator calculates estimated data of a second period on the basis of the state data of the first period. The deviation degree calculator calculates a degree of deviation of the second period on the basis of the state data and the estimated data of the second period. The abnormality degree calculator calculates a degree of abnormality of the second period on the basis of the degree of deviation of the second period. The abnormality determiner determines presence or absence of an abnormality of the target in the second period on the basis of the degree of abnormality in the second period.

Abstract: An apparatus according to one embodiment of the present invention detects an abnormality of a monitoring target on the basis of state data of the target and includes an estimated data calculator, a deviation degree calculator, an abnormality degree calculator; and an abnormality determiner. The estimated data calculator calculates estimated data of a second period on the basis of the state data of the first period. The deviation degree calculator calculates a degree of deviation of the second period on the basis of the state data and the estimated data of the second period. The abnormality degree calculator calculates a degree of abnormality of the second period on the basis of the degree of deviation of the second period. The abnormality determiner determines presence or absence of an abnormality of the target in the second period on the basis of the degree of abnormality in the second period.

Abstract: An information processing apparatus has a model construction unit that constructs a model represented using a plurality of variables corresponding to a plurality of classes, an evaluated value calculation unit that calculates an evaluated value of the model constructed by the model construction unit, a correlation specification unit that specifies a correlation between some variables among the plurality of variables based on the calculated evaluated value, a variable processing determination unit that determines whether to perform at least one of creation, integration, and stratification of at least some variables among the plurality of variables based on the correlation specified by the correlation specification unit, and a variable processing unit that performs at least one of creation processing, integration processing, and stratification processing of the variables when the at least one of the creation, the integration, and the stratification of the variables is determined to be performed.

Abstract: A life watching and support apparatus is connected to a living behavior acquirement apparatus configured to acquire behavior information of a user, to a physiological information acquirement apparatus configured to acquire physiological information of the user, and to a display apparatus on a watcher side watching the user. The life watching and support apparatus includes a behavior estimation section configured to estimate a living behavior situation of the user based on the behavior information of the user, a health condition determination section configured to determine a health condition of the user based on the estimated living behavior situation and the physiological information, and an output control section configured to display a watching screen including the determined health condition in the display apparatus on the watcher side depending on the health condition.