Nec Corporation

Ichirou Akimoto

Daisuke Yokoi

Masayuki Ikeda

Naoki Sawada

Tadashi Ishikawa

Yousuke Motohashi

Takuya Itou

A failure analysis deviceis provided with an identification unitthat discriminates whether a predetermined failure has occurred on the basis of a learning model for discriminating the presence or absence of an occurrence of the predetermined failure learned by using a cause attribute which is associated with a cause of the predetermined failure and on the basis of a value of the attribute, and that identifies the cause of the predetermined failure discriminated to have occurred and countermeasures therefor.

Failure analysis device, failure analysis method, and failure analysis program

An object of the present disclosure is to provide a control apparatus that controls a plurality of communication systems so that the plurality of communication systems can perform analysis with high accuracy. The control apparatus () according to the present disclosure includes a communication unit () and a determination unit (). The communication unit () receives, from an analysis apparatus () configured to perform machine learning using communication logs collected from a communication apparatus in order to generate a learning model, statistical information about each of the communication logs and information about the learning model. The determination unit () determines an analysis apparatus () to which the information about the learning model is applied based on the statistical information.

Control apparatus, analysis apparatus, communication system, data processing method, data transmission method, and non-transitory computer readable medium

A first prediction unitpredicts the amount of future communication quality deterioration or the presence or absence of occurrence of future communication quality deterioration in a communication section between one communication device and another communication device communicably connected to the one communication device by using a first learning model generated on the basis of first attributes being attributes related to a cause of communication quality deterioration in the communication section. A second prediction unitpredicts the amount of future communication quality deterioration or the presence or absence of occurrence of future communication quality deterioration outside the communication section regarding one communication device by using a second learning model generated on the basis of second attributes being attributes related to a cause of communication quality deterioration outside the communication section regarding the one communication device.

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Tokyo, Japan

Ichirou Akimoto