公开(公告)号：US20180181650A1

公开(公告)日：2018-06-28

申请号：US15792883

申请日：2017-10-25

Applicant: Hitachi, Ltd.

Inventor： Takuya KOMATSUDA ,  Toshihiko KASHIYAMA ,  Machiko ASAIE

IPC: G06F17/30 ,  G06F17/27

CPC classification number: G06F16/3338 ,  G06F16/20 ,  G06F16/374 ,  G06F16/84 ,  G06F17/246 ,  G06F17/2795

Abstract: A CPU of a data integration server detects first rare words whose number existing as words relating to configurations of tables of a factory data model is equal to or smaller than a predetermined number, detects second rare words whose number existing as words relating to configurations of tables in a common data model is equal to or smaller than a predetermined number, determines whether or not determination conditions for determining that a second column included in the common data model is a synonymous column candidate of a first column of the factory data model are satisfied, and, in the case where the determination conditions are satisfied, selects the second column as the synonymous column candidate of the first column. The determination conditions include a condition that one of the first rare words around the first column matches one of the second rare words around the second column.

公开(公告)号：US20190361809A1

公开(公告)日：2019-11-28

申请号：US16333744

申请日：2017-08-03

Applicant: Hitachi, Ltd.

Inventor： Cheng LUO ,  Machiko ASAIE ,  Keiro MURO

IPC: G06F12/0802

Abstract: A computer system acquires information on a first present input subset selected from first present input data for a first step from a run-time log of the first step, determines whether or not first cache data corresponding to the first present input subset for the first step is present in a cache area with reference to management information, and determines the first cache data as present output data for the first present input data in a case where the first cache data is present.

公开(公告)号：US20190064788A1

公开(公告)日：2019-02-28

申请号：US15916312

申请日：2018-03-09

Applicant: Hitachi, Ltd.

Inventor： Takuya KOMATSUDA ,  Machiko ASAIE ,  Keiro MURO

IPC: G05B23/02 ,  G06F11/30

Abstract: Indexes having local features are automatically selected from sensor data of a plurality of sensors. Sensor data of the plurality of sensors, each associated with the plurality of indexes, is partitioned into a plurality of blocks. A principal component analysis is applied to the sensor data of each of the partitioned blocks and a plurality of principal components are extracted from each of the blocks. A migration distance evaluation unit extracts, from two different blocks, two principal components that form a principal component pair, and calculates a migration distance between each of the principal components regarding the extracted principal component pair. A migration factor index detection unit detects, as a migration factor index, an index among the plurality of indexes configuring the principal components having a large migration distance among the migration distances between each of the principal components calculated by the migration distance evaluation unit.