Kabushiki Kaisha Toshiba

Shun Hirao

Kouta Nakata

Kazunori Imoto

Takahiro Takimoto

Ayana Yamamoto

According to one embodiment, system includes a determination unit, a first storage, a second storage, a search unit and a display. The determination unit determines a feature quantity of the process-targeted manufacturing data. The first storage stores cause-unidentified manufacturing data. The second storage stores cause-identified manufacturing data. The search unit searches, based on the feature quantity of the process-targeted manufacturing data, the first storage and the second storage for the cause-unidentified manufacturing data and the cause-identified manufacturing data that have a feature quantity similar to that of the process-targeted manufacturing data. The display displays the search result.

Similar-defect search/display system, apparatus and method

According to an embodiment, an information processing apparatus includes one or more processors. The processors are configured to: generate a plurality of shuffle maps obtained by randomly shuffling, from positions to others, at least some of subject values contained in a subject map having the subject values arrayed in N dimensions (N is an integer of 1 or more); generate a subject vector expressing features of a frequency domain of the subject map and random vectors expressing features of respective frequency domains of the shuffle maps; and derive, as an evaluation value for whether the subject map has a random characteristic, a testing result of statistical hypothesis testing on feature differences between the subject vector and the respective random vectors.

Random characteristic evaluation of subject maps

According to one embodiment, an estimation device acquires a data set from history data. The history data includes a plurality of data IDs, path information, first and second qualitative variables. The data IDs respectively indicate a plurality of data flowing through a plurality of nodes. The path information indicates a path of the nodes for each of the data. The first and second qualitative variables are mutually-independent and indicate classifications of each of the data IDs. The data set includes a part of the data IDs having a first variable value assigned as the first qualitative variable. The estimation device estimates an overall relevance indicating a relevancy to the data set for each of the nodes. The estimation device generates a plurality of partial data sets. The estimation device estimates a partial relevance indicating a relevancy to each of the partial data sets for each of the nodes.

Estimation device, display control device, estimation system, and estimation method

According to one embodiment, an analysis system includes a display controller. The display controller is configured to display a first comprehensive image and a first individual image from a plurality of workpiece data. The plurality of workpiece data relate to a plurality of workpieces, are classified into a plurality of categories, and are classified into one of a plurality of classes. The first comprehensive image is based on the plurality of workpiece data. The first individual image is based on a part of the plurality of workpiece data classified into one of the plurality of categories.

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Kawasaki Kanagawa, Japan

Shun Hirao