Kabushiki Kaisha Toshiba

Toshiba Memory Corporation

Kioxia Corporation

Topon Kumar Paul

Takeichiro Nishikawa

Shuichiro Imahara

Arun Kumar Kalakanti

Hideyuki Aisu

Shinichi Nagano

Arika Fukushima

Shigeru Maya

Yoshiyuki Sakamoto

Shuuichiro Imahara

Shinya Umeno

Girish Babu Meruva

Charitha Hanumantharaju

Sai Prem Kumar Ayyagari

A waveform segmentation device has a state level estimation unit that estimates a state level of input waveform data, and a segmentation identification unit that segments the waveform data at a plurality of segmentation points based on the state level estimated by the state level estimation unit. The segmentation identification unit may identify the plurality of segmentation points such that a feature value of the waveform data is included between two adjacent segmentation points among the segmentation points.

Waveform segmentation device and waveform segmentation method

According to one embodiment, an operation planning system includes a demand information database and a plurality of planning units. The demand information database stores demand data including an overall output required for a plurality of operation units for a planning period in an operation plan. The plurality of planning units adjusts output settings of the plurality of operation units. Any of the planning units selects a combination of operation units which provide the overall output required for the planning period, and based on operation costs depending on the outputs of the operation units, a process is repeated to generate the operation plan, the process including: selection of the operation unit belonging to the combination of operation units; and adjustment of the output setting for the selected operation unit by the planning unit paired with the selected operation unit.

Operation planning system, operation planning device and operation planning method

According to one embodiment, a genotype estimation device includes: an acquirer configured to acquire a clustering strength of genotype data of a plurality of specimens including an unknown specimen whose genotype is not known and known specimens whose genotypes are known; and an estimator configured to estimate the genotype of the unknown specimen on the basis of the genotype data in response to the clustering strength being larger than a first threshold, and output an estimation result.

Genotype estimation device, method, and program

A method and system for detecting anomalies in waveforms in an industrial plant. During a learning stage, one or more training waveforms are received from sensors monitoring a plurality of equipment in the industrial plant. The one or more training waveforms are used to generate a representative waveform and deviations of the one or more training waveforms from the representative waveform are determined. Based on the deviations, groups are created. A model may be associated with each group for building an expected waveform pattern. When test waveforms are received, based on the electrical and physical properties of the test waveforms, each test waveform is classified into one of the groups. Thereafter, each waveform is compared with the expected waveform pattern associated with the group to which the respective test waveform belongs, to detect the anomaly.

Method of detecting anomalies in waveforms, and system thereof

According to one embodiment, an operation planning system includes a storage and a plurality of planning devices. The storage is configured to: store information of operating devices and planning devices included in the operation planning system; store a total output required for a plurality of operating devices in a planning period of an operation plan; and store the operation plan including a combination of operating devices operating in the planning period and an output setting value for each of the operating devices in the combination. The plurality of planning devices is configured to: generate the combination satisfying the total output required in the planning period; determine the output setting value for each of the operating devices belonging to the combination; obtain combination data which is data of the combinations generated by the other planning devices; and generate the operation plan based on the combination data.

Operation planning system, method and device for generating an operation plan using multiple planning devices

The present disclosure relates to a method, system and device for power generation planning in a power generation system. The power generation system comprises a plurality of Power Generation Units (PGUs). The system receives a power demand data indicative of power required over a pre-defined time period, by a load. A pattern in variation of power among various patterns is identified for each of one or more intervals in the pre-defined time period. An operation technique and a repair technique are determined for each of the one or more intervals based on the pattern. A plurality of working patterns for operating the plurality of PGUs is determined in each of the one or more intervals based on determined operational technique and repair technique for corresponding one or more intervals. System determines individual power outputs to be generated by the number of PGUs determined in each of the plurality of working patterns.

System, method and device for creating a power generation plan in a power generation system

A charging prediction database stores information on electric vehicles expected to arrive for charging. A profile/charging information database stores information on electric vehicles that have arrived and been waiting for charging. A power database stores information on a power source including at least one of a power grid and a stationary battery. An energy calculating unit calculates energy available from the power source based on the power database. A scheduling unit schedule charging of the electric vehicles waiting for charging in consideration of the electric vehicles expected to arrive.

Growing community of inventors

Kanagawa-ken, Japan

Topon Kumar Paul