Kabushiki Kaisha Toshiba

Kohei Maruchi

Hisaaki Hatano

Kenichi Fujiwara

Takahiro Yamamoto

Hiroaki Nakamura

Koji Takazawa

Tomokazu Morita

Yoshinao Tatebayashi

Masatake Sakuma

Mitsunobu Yoshida

Yoshiyuki Isozaki

Shinji Takakura

Toshikatsu Akiba

Kaoru Koiwa

Tatsuya Inagi

Shigeru Maya

Akihiro Yamaguchi

Shun Egusa

Sayaka Akiyama

A time series data analysis method, includes: generating a plurality of first feature vectors including feature amounts of a plurality of feature waveforms, based on distances from a plurality of first time series data sequences to the plurality of feature waveforms, the first time series data sequences belonging to a first class; generating a plurality of second feature vectors including feature amounts of the plurality of feature waveforms, based on distances from a plurality of second time series data sequences to the plurality of feature waveforms, the plurality of second time series data sequences belonging to a second class; and updating the plurality of feature waveforms, based on the plurality of first feature vectors, the plurality of second feature vectors, a performance indicator parameter related to a performance indicator for a classification model and a model parameter including weights on the plurality of feature waveforms.

Time series analysis using a shapelet learning method with area under the curve

There is provided a rechargeable battery evaluation device including: a charging controller configured to switch charging current of a rechargeable battery being charged with first current to second current; and a first state estimator configured to estimate a state of the rechargeable battery based on a feature of change in at least one of a voltage and a charging amount of the rechargeable battery due to switching from the charging current to the second current.

Information processing apparatus, method and system

According to one embodiment, the information processing device includes: a first state estimator configured to estimate a state of a target rechargeable battery based on: first data including a charge amount and voltage value of a rechargeable battery; information including a state of the rechargeable battery; and second data including a charge amount and voltage value of the rechargeable battery.

Information processing device, information processing method, non-transitory computer readable medium, and information processing system

An apparatus as an aspect of the present invention is a factor analysis apparatus that analyzes a relationship between a target event that is a target of factor analysis and an assumed factor of the target event, and includes a similarity calculator, a first influence calculator, and a second influence calculator. The similarity calculator calculates a degree of similarity between a data item included in provided time-series data and the assumed factor. The first influence calculator calculates a first degree of influence indicating a degree of influence of the data item on the target event on the basis of time-series data of the data item and time-series data of the target event. The second influence calculator calculates a second degree of influence indicating a degree of influence of the assumed factor on the target event on the basis of the degree of similarity and the first degree of influence.

Factor analysis apparatus, factor analysis method, and non-transitory storage medium

There is provided with command execution method, including; detecting a use situation of a non-volatile memory; selecting, when the use situation is low, the command which enables the disk head to be located at a start position of writing or reading most rapidly from among the write commands and the read commands assuming that the disk head performs the fast seek for the write command and the slow seek for the read command; selecting, when the use situation of the non-volatile memory is high, the command which enables the disk head to be located at the start position of writing or reading most rapidly from among the write commands and the read commands assuming that the disk head performs the slow seek.

Hard disk drive and command execution method

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Tokyo, Japan

Kohei Maruchi