Abstract: A model construction apparatus according to an embodiment includes a first collection unit that collects pieces of first observed data related to a communication network system that is a target for estimation of a location or a cause of an abnormality; a second collection unit that collects pieces of second observed data related to a plurality of services provided by the communication network system; and a model construction unit that constructs a causal model for estimating the location or the cause of the abnormality and an abnormal service among the plurality of services, using the pieces of first observed data and the pieces of second observed data.

Abstract: A connector includes: a circuit board; a first heat transfer material arranged on a principal surface of the circuit board; a first shell having an end mated with a mating connector in a state in which the terminal end portion of the circuit board protrudes from the end, and includes an opposite opposed to at least a part of a target region which is a region other than the terminal end portion, covers at least a part of the target region, and is conductive; a second shell connected to an end of the first shell, covers at least a part of the target region of the principal surface, and is thermally conductably connected to the circuit board in contact with the first heat transfer material; and a third shell engaged with the second shell, covers at least a part of the target region of a principal surface, and is conductive.

Abstract: An information processing apparatus including: an experience quality estimation unit that estimates an experience quality value by replacing a plurality of index values included in viewing history data of an image with an index value corresponding to a case other than any one of a plurality of predetermined bit rates; a contribution degree calculation unit that calculates a contribution degree of each bit rate included in the plurality of bit rates to an experience quality value on the basis of the estimated experience quality value; and a contribution degree output unit that outputs information indicating the contribution degree.

Abstract: An information processing apparatus including: an experience quality estimation unit that estimates an experience quality value when changing any index value of a plurality of index values included in viewing history data of an image; a contribution degree calculation unit that calculates a contribution degree of each index value included in the plurality of index values to a contribution degree on the basis of the estimated experience quality value; and a contribution degree output unit that outputs information indicating the contribution degree.

Abstract: A learning apparatus according to one embodiment includes an input unit configured to input a normal data collection for a first system that is a target domain and to input a normal data collection for a second system that is a source domain. The learning apparatus includes a learning unit configured to train a model that includes a first autoencoder configured to input normal data for the target domain, based on the normal data collection for the first system and the normal data collection for the second system. The model includes a second autoencoder configured to input normal data for the source domain, and includes a discriminator configured to output a probability that output data is data representing a feature for any one of the target domain and the source domain, while using, as an input, output data, output data of a first encoder included in the first autoencoder or a second encoder included in the second autoencoder.

Abstract: A failure effects estimating device includes an input unit that inputs a log and a traffic amount obtained from a communication system when an abnormality occurs, an estimating unit that estimates a failure effects amount in the communication system, on the basis of the log and the traffic amount, and an output unit that outputs the failure effects amount estimated by the estimating unit.

Abstract: A model construction apparatus according to an embodiment includes a first collection unit that collects pieces of first observed data related to a communication network system that is a target for estimation of a location or a cause of an abnormality; a second collection unit that collects pieces of second observed data related to a plurality of services provided by the communication network system; and a model construction unit that constructs a causal model for estimating the location or the cause of the abnormality and an abnormal service among the plurality of services, using the pieces of first observed data and the pieces of second observed data.

Abstract: A model construction apparatus according to an embodiment includes a processor and a memory storing program instructions that cause the processor to receive pieces of observed data from a communication network system that is a target for estimation of a location or a cause of an abnormality; divide the received pieces of observed data into a plurality of clusters according to the types of information represented by the respective pieces of observed data; determine, for each location or each cause of an abnormality, a representative value as representative observed data for each of the plurality of clusters; and construct, using the representative observed data, a first causal model for estimating the location or the cause of the abnormality from the pieces of observed data based on a rule-based method.

Abstract: A recovery support apparatus includes an index value calculation means which calculates a predetermined index value with respect to a recovery work sequence on the basis of the recovery work sequence indicating a work procedure for recovery from an abnormality that has occurred in an apparatus group constituting a communication network, and an output means which outputs the index value calculated by the index value calculation means to a predetermined output destination.

Abstract: A failure effects estimating device includes an input unit that inputs a log and a traffic amount obtained from a communication system when an abnormality occurs, an estimating unit that estimates a failure effects amount in the communication system, on the basis of the log and the traffic amount, and an output unit that outputs the failure effects amount estimated by the estimating unit.

Abstract: In the disclosure, a first feature amount extraction unit configured to extract, from time-series data of a plurality of types, a first feature amount representing a feature between dimensions of each data of the time-series data at each time, a second feature amount extraction unit configured to extract, from the first feature amount extracted by the first feature amount extraction unit, a second feature amount representing a feature between the types at each time, a third feature amount extraction unit configured to extract, from the second feature amount extracted by the second feature amount extraction unit, a third feature amount representing a feature between each time, and an analysis unit configured to perform predetermined data analysis through a use of the third feature amount extracted by the third feature amount extraction unit.

Abstract: An anomaly location identification device includes a determination unit configured to determine presence or absence of an anomaly by inputting part or all of information items output from a plurality of devices into an anomaly detection algorithm; a calculation unit configured to calculate, in response to a determination made by the determination unit that an anomaly is present, with respect to one of the information items, an index indicating a degree of contribution to the anomaly; and an identification unit configured to perform calculation by an analysis algorithm using a causal model receiving the index as input, to identify an anomalous device, to improve the precision and calculation speed related to identification of an anomaly location.

Abstract: An anomaly detection apparatus includes an approximation unit configured to generate, based on observed data, an approximation of a Perron-Frobenius operator on an RKHS that represents a mathematical model to generate the observed data; and a detection unit configured to use the approximation of the Perron-Frobenius operator and an observed data item at time t, to predict a data item at time t+1, and based on a discrepancy between the predicted data item and an observed data item at time t+1, to determine whether the observed data item at time t+1 is anomalous.

Abstract: A graph summarizing apparatus includes a computation unit configured to compute, when a graph changes, importance degrees based on factor degrees of nodes in the graph before the change, for the nodes of the graph after the change, each of the nodes having a factor degree indicating an extent of a factor on a state of the graph, the graph having edges each of which has a weight indicating a strength of a causal relationship between the nodes; a selection unit configured to select a first node having the importance degree or less than or equal to a threshold as a candidate for deletion; and a deletion unit configured to delete the first node, and achieves graph summarization capable of suppressing a decrease in accuracy of factor estimation by a causal graph.

Abstract: A recovery support apparatus includes an index value calculation means which calculates a predetermined index value with respect to a recovery work sequence on the basis of the recovery work sequence indicating a work procedure for recovery from an abnormality that has occurred in an apparatus group constituting a communication network, and an output means which outputs the index value calculated by the index value calculation means to a predetermined output destination.

Abstract: A power conversion device includes a wire connected to an electrical component, a casing to accommodate therein the electrical component, the casing being provided with an opening through which the wire is led out, a cover component removably attached to an exterior of the casing to cover the opening, and provided with a wiring hole through which the wire passes, and a pressing plate that is a fixing component to fix the wire inside the cover component. The cover component is attachable in two or more different orientations.

Abstract: A connector holding structure includes: a casing; an electric wire drawn from an inside to an outside of the casing; a connector connected at one end to the electric wire and including a projection at another end; an electric wire hanger provided on one side of the casing and holding a midway portion of the electric wire; and a holder provided on one side of the casing and having a recess detachably holding the connector by allowing the projection to fit into the recess. The holder is provided on the one side such that the holder is rotatable around a central axis of the holder extending in a direction in which the projection is fitted into the recess.

Abstract: A causality estimation device includes: an input unit configured to input data of a temporally sequential multi-dimensional numerical vector; a regression model learning unit configured to learn a non-linear regression model with which data at a time is predicted from data at a past time by using the input data of the temporally sequential multi-dimensional numerical vector; a causality estimation unit configured to calculate the strength of causality of a dimension i due to a dimension j in the data of the temporally sequential multi-dimensional numerical vector by using the non-linear regression model; and an output unit configured to output the strength of the causality calculated by the causality estimation unit.

Abstract: A power conversion device includes a wire connected to an electrical component, a casing to accommodate therein the electrical component, the casing being provided with an opening through which the wire is led out, a cover component removably attached to an exterior of the casing to cover the opening, and provided with a wiring hole through which the wire passes, and a pressing plate that is a fixing component to fix the wire inside the cover component. The cover component is attachable in two or more different orientations.

Abstract: An anomaly location identification device includes a determination unit configured to determine presence or absence of an anomaly by inputting part or all of information items output from a plurality of devices into an anomaly detection algorithm; a calculation unit configured to calculate, in response to a determination made by the determination unit that an anomaly is present, with respect to one of the information items, an index indicating a degree of contribution to the anomaly; and an identification unit configured to perform calculation by an analysis algorithm using a causal model receiving the index as input, to identify an anomalous device, to improve the precision and calculation speed related to identification of an anomaly location.