公开(公告)号：US20250070867A1

公开(公告)日：2025-02-27

申请号：US18601004

申请日：2024-03-11

Applicant: Hitachi, Ltd.

Inventor： Tatsuhiko FUKAZAWA ,  Yuta Saito ,  Masateru Hemmi

IPC: H04B10/03 ,  G06F3/06 ,  H04B10/079

Abstract: To efficiently detect a defect and identify a causal portion of the defect while minimizing impact on performance of a storage system. A storage device, including an optical module, receives a data I/O request transmitted from another device via the optical module, and performs I/O processing responding to the data I/O request to a storage unit. The storage device performs, upon receiving a data write request as the data I/O request from another device, transmitting a reception enabled notification being information indicating a state where reception of write data for the data write request is enabled to another device, and starting timing of a write monitoring timer being a timer to monitor a reception state of the write data, and upon timeout of the write monitoring timer, acquiring emitted light quantity of a light emitting element, and outputting information indicating the acquired emitted light quantity.

公开(公告)号：US20250067688A1

公开(公告)日：2025-02-27

申请号：US18725869

申请日：2022-01-13

Applicant: Hitachi, Ltd.

Inventor： Akinori ASAHARA ,  Mitsuya YAMAMOTO ,  Hidekazu MORITA

IPC: G01N23/20 ,  G01N23/02

Abstract: The particle beam analyzer includes: an uncertainty level evaluation unit that calculates an optimization target position constituting a spatial position specified on the basis of a variation in spatial density distribution for each spatial position with respect to a plurality of spatial density distributions corresponding to the profile selected by the profile selection unit; a differential regression analysis unit that calculates, using regression analysis, a function for obtaining, from the spatial density distribution, a difference from the input profile by using the data held in the profile database and the difference calculated by the profile difference evaluation unit; and a spatial density distribution optimization unit that calculates a spatial density distribution for which the difference of the function calculated by the differential regression analysis unit is minimized, by using, as a variable, only the spatial density in the optimization target position calculated by the uncertainty level evaluation unit.

公开(公告)号：US12236093B2

公开(公告)日：2025-02-25

申请号：US18176707

申请日：2023-03-01

Applicant: Hitachi, Ltd.

Inventor： Hiroka Ihara ,  Nobuhiro Yokoi ,  Takashi Nagao ,  Yoshihiro Yoshii

IPC: G06F3/06

Abstract: A storage system includes: a central processing unit; a main memory; first management information that associates a hash value of received data with an address in a volume; and an I/O processing package. The I/O processing package includes an I/O processor and an I/O memory. The I/O processor executes protocol processing. The I/O processor executes at least a part of search processing of an address associated with a hash value of first received data in the first management information. The central processing unit controls execution of deduplication processing of the first received data based on data of an address associated with the hash value of the first received data.

公开(公告)号：US12235862B2

公开(公告)日：2025-02-25

申请号：US17558458

申请日：2021-12-21

Applicant: Hitachi, Ltd.

Inventor： Kazuhide Aikoh

IPC: G06F16/25 ,  G06F16/901

Abstract: Example implementations described herein are directed to systems and methods for selecting a prediction target node in creating a data flow. Systems and methods can involve a data flow editing interface, configured to, for receipt of an input node for an editing data flow in the data flow editing interface, determine a recommendation of a target node and a next node to be added to the data flow based on metadata, relevance of a data source for the data flow, location information of each node on the data flow, and similarity of the editing data flow to past flows that are previously executed data flows; and provide the recommendation of the target node and the next node on the data flow editing interface.

公开(公告)号：US20250060232A1

公开(公告)日：2025-02-20

申请号：US18233595

申请日：2023-08-14

Applicant: HITACHI, Ltd.

Inventor： Jana BACKHUS

IPC: G01D18/00 ,  H05K7/20

Abstract: Aspects of the present disclosure involve systems and methods, which can include executing an incremental Principal Component Analysis (PCA) modeler to build a PCA model for sensor measurements associated with one or more cooling devices of a location to be monitored; detecting changes at each time step based on a change in a number of principal components or for when a reconstruction error exceeds a threshold; and evaluating and observing changes to generate feedback regarding the one or more cooling devices.

公开(公告)号：US20250054010A1

公开(公告)日：2025-02-13

申请号：US18719860

申请日：2022-01-24

Applicant: HITACHI, LTD.

Inventor： Lan LAN ,  Wujuan LIN

IPC: G06Q30/0207 ,  G06N20/00 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q50/06

Abstract: A system for controlling an environmental factor for an area is provided. According to various embodiments, the system comprises an environmental factor control device connectable to an electronic device configured to receive an input from a user. The environmental factor control device is configured to predict at least one of an energy saving and an estimated reward associated with one or more values of the environmental factor, send prediction information about the at least one of the energy saving and the estimated reward associated with the one or more values to the electronic device, receive a selected value among the one or more values from the electronic device, determine a value of the environmental factor for the area based on the selected value, and calculate a reward for the user based on the determined value of the environmental factor for the area and the selected value.

公开(公告)号：US20250053800A1

公开(公告)日：2025-02-13

申请号：US18232063

申请日：2023-08-09

Applicant: HITACHI, Ltd.

Inventor： Dipanjan GHOSH ,  Ahmed FARAHAT ,  Xian Yeow LEE ,  Lasitha VIDYARATNE ,  Chetan GUPTA

IPC: G06N3/08 ,  G06N3/0475

Abstract: Systems and methods described herein can involve training a first generative artificial intelligence (AI) model for a general domain, the first generative AI model trained using standard information components of the general domain; training a second AI model for a specific domain from the first generative AI model, the training of the second AI model being based on the use of the standard information components, non-standard information components of the specific domain and available label data of the specific domain; and fine-tuning the second AI model to align with preferences of the specific domain to maximize reward and minimize error.

公开(公告)号：US20250053750A1

公开(公告)日：2025-02-13

申请号：US18791514

申请日：2024-08-01

Applicant: Hitachi, Ltd.

Inventor： Kohei MATSUSHITA ,  Masaki HAMAMOTO ,  Masayoshi MASE ,  Masashi EGI

IPC: G06F40/35

Abstract: A computer system stores a large-scale language model that receives an instruction sentence as an input and outputs an interpretation sentence for interpreting a result of an inference, and text template information that stores template data in which a characteristic of a contribution value of a feature in a group having features is associated with a template of the instruction sentence, calculates the contribution value of each of a plurality of the features, generates a plurality of groups each constituted with one or more of the features, acquires, for each of the plurality of groups, the template data by referring to the text template information based on the characteristic of the contribution value of the feature included in the group, generates, based on the template data and the feature included in the group, the instruction sentence to be input to the large-scale language model, and outputs the interpretation sentence obtained.

公开(公告)号：US12224772B2

公开(公告)日：2025-02-11

申请号：US18125188

申请日：2023-03-23

Applicant: Hitachi, Ltd.

Inventor： Tomoyuki Kamazuka ,  Kenshiro Himoto ,  Shoji Kato ,  Yuusaku Kiyota

IPC: H03M13/00 ,  H03M7/30

Abstract: In a compression mode in which plaintext data is input, and compressed, a first code that is an error detection code is generated with respect to the plaintext data, and compressed. A circuit generates restored plaintext data in which the compressed data is decompressed, for confirming successfulness. A second code that is an error detection code is generated with respect to the restored plaintext data and is compared with the first code. In a case where the first code and the second code agree, the compressed data and the first or second code are output. In a decompression mode, plaintext data is generated in which the input compressed data is decompressed. A third code that is an error detection code is generated with respect to the plaintext data and is compared with an input code, and when the input code and the third code agree, the plaintext data is output.

公开(公告)号：US20250037257A1

公开(公告)日：2025-01-30

申请号：US18601255

申请日：2024-03-11

Applicant: Hitachi, Ltd.

Inventor： Takashi OSHIMA ,  Keisuke Yamamoto ,  Goichi Ono ,  Keita Yamane ,  Seiji Miura

IPC: G06T7/00 ,  G06F18/241

Abstract: A state detection system includes a computation unit that acquires data detected by a sensor. The computation unit includes a processing device that executes data processing. The processing device converts data of a digitized time-series signal from a sensor, into data on frequency spectrum intensity. The processing device converts a partial area in an overall area in which values of data on frequency spectrum intensity are distributed, into data expressed in low bits. The processing device generates a pseudo image, based on the data expressed in low bits. The processing device classifies the pseudo image, based on image recognition, and outputs a result of classification of a state of a facility.