-
公开(公告)号：US20220187486A1
公开(公告)日：2022-06-16
申请号：US17411290
申请日：2021-08-25
Applicant: Hitachi, Ltd.
Inventor： Shimei KO , Shinji NAKAGAWA , Yuji SUWA , Kazuaki TOKUNAGA
Abstract: A computer system manages model information for defining a U-Net configured to execute, on the input time-series data, an encoding operation for extracting a feature map relating to the target wave by using downsampling blocks and a decoding operation for outputting data for predicting the first motion time of the target wave by using upsampling blocks, executes the encoding operation and the decoding operation on the input time-series data by using the model information. The downsampling blocks and the upsampling blocks each includes a residual block. The residual block includes a time attention block calculates a time attention for emphasizing a specific time domain in the feature map. The time attention block includes an arithmetic operation for calculating attentions different in time width, and calculates a feature map to which the time attention is added by using the attentions.
-
公开(公告)号：US20200334622A1
公开(公告)日：2020-10-22
申请号：US16803604
申请日：2020-02-27
Applicant: HITACHI, LTD.
Inventor： Takeshi UEHARA , Naoki TABARU , Kunihiko HARADA , Kazuaki TOKUNAGA
Abstract: A system calculates for each frontage space which is held by a plurality of shelves and in which commodities are placed, a recommended capacity value of the commodity based on a predicted shipment volume from demand prediction of the commodity placed in the frontage space. The system determines exchange pairs (frontage space pairs) in each of which exchange of the commodities are performed based on a current capacity value and the recommended capacity value of each frontage space. Each exchange pair satisfies the following: The current capacity of a first frontage space is smaller than the recommended capacity, or the current capacity of a second frontage space is larger than the recommended capacity. The recommended capacity of the second frontage space satisfies the current capacity of the first frontage space. The recommended capacity of the first frontage space satisfies the current capacity of the second frontage space.
-
公开(公告)号：US20210110304A1
公开(公告)日：2021-04-15
申请号：US17006964
申请日：2020-08-31
Applicant: Hitachi, Ltd.
Inventor： Kazuaki TOKUNAGA , Yuto KOJIMA , Yutaro KATO , Shimei KO , Atsushi ITO
Abstract: A system performs operation monitoring in which a learning model in operation is monitored. In the operation monitoring, the system performs a first certainty factor comparison to determine, each time the learning model in operation to which input data is input outputs output data, whether or not a certainty factor of the learning model is below a first threshold. In a case where a result of the first certainty factor comparison is true, the system replaces the learning model in operation with any of candidate learning models having a certainty factor higher than the certainty factor of the learning model in operation in which the result of true is obtained among one or more candidate learning models (one or more learning models each having a version different from a version of the learning model in operation), as a learning model of an operation target.
-
公开(公告)号：US20200234207A1
公开(公告)日：2020-07-23
申请号：US16558437
申请日：2019-09-03
Applicant: Hitachi, Ltd.
Inventor： Takuya MOGAWA , Kazuaki TOKUNAGA , Toshiyuki UKAI , Yasuharu NAMBA
Abstract: Provided is a technique that enables a measure for guiding a target from a base state to a target state to be determined without having a human being define a target and a state transition opportunity. A management support system performs a transition opportunity calculation process that is a process including calculating one or a plurality of state transition opportunities from a base state to a target state with respect to M-number of targets (where M is a natural number such that M 2) on the basis of management data including data related to histories of the M-number of targets, and outputs output information including information related to the one or a plurality of state transition opportunities calculated in the transition opportunity calculation process.
-
公开(公告)号：US20190066131A1
公开(公告)日：2019-02-28
申请号：US16081155
申请日：2017-03-15
Applicant: Hitachi, Ltd.
Inventor： Toshiko AIZONO , Wenpeng WEI , Takuya MOGAWA , Kazuaki TOKUNAGA , Yasuharu NAMBA
Abstract: When multiple explanatory variables are automatically created, a huge amount of output suggestions causes a heavy burden on selecting the suggestion. A marketing support system is configured to include a suggestion extraction unit that accepts purchase data and analyzes a correlation between the purchase data to output a composite variable, a restriction filtering unit that accepts the composite variable and a restriction table to exclude the composite variable based on a restriction condition defined in the restriction table, and a result filtering unit that uses a measure result defined in the past to estimate an anticipated effect when a measure based on the composite variable is performed, and selects a plurality of explanatory variables.
-
Patent Agency Ranking
公开(公告)号：US20180046927A1
公开(公告)日：2018-02-15
申请号：US15557542
申请日：2015-09-16
Applicant: Hitachi, Ltd.
Inventor： Kazuaki TOKUNAGA , Syunsuke MONAI
IPC: G06N5/04
CPC classification number: G06N5/045 , G06F16/00 , G06F16/245
Abstract: A data analysis device that analyzes data having a record including an objective variable and a plurality of explanatory variables includes a node generating unit that generates a node specified by a condition of the explanatory variable on the basis of the objective variable and the explanatory variable of the record and associating the record with the node, an evaluation value generating unit that generates a proportion of the number of records whose target value is the objective variable among a plurality of records associated with the node as an evaluation value, and a parameter extracting unit that selects a node on the basis of the evaluation value and extracts and outputs the condition of the explanatory variable related to the selected node.
-
公开(公告)号：US20210279524A1
公开(公告)日：2021-09-09
申请号：US17015585
申请日：2020-09-09
Applicant: Hitachi, Ltd.
Inventor： Shimei KO , Kazuaki TOKUNAGA , Toshiyuki UKAI
Abstract: A training model creation system includes a first server (a mother server 100) that diagnoses a state of an inspection target in a first base (a mother base) using a first model (a mother model) of a neural network and a plurality of second servers (child servers 200) that diagnose a state of an inspection target in each base of the plurality of second bases using a second model (a child model) of the neural network. In the training model creation system, the first server receives feature values of the trained second model from the respective plurality of second servers, merges a received plurality of feature values of the second model and a feature value of the trained first model, and reconstructs and trains the first model based on a merged feature value.
-
公开(公告)号：US20210200590A1
公开(公告)日：2021-07-01
申请号：US17007024
申请日：2020-08-31
Applicant: Hitachi, Ltd.
Inventor： Kunihiko HARADA , Takeshi UEHARA , Kazuaki TOKUNAGA , Toshiyuki UKAI
IPC: G06F9/50
Abstract: A computer system determines an allocation of resources in a task formed of processes. The task includes a transition between processes corresponding to rework. The computer system comprises: at least one predictor configured to calculate predicted values of an inflow amount and an outflow amount of the items of each of the processes forming the task; and a resource allocation determining unit configured to determine an allocation of the resources to each of the processes. The resource allocation determining unit uses the at least one predictor to form a simulator configured to calculate the predicted values of the inflow amount and the outflow amount of the items of each of the processes in any allocation of the resources, in a case of receiving a request including a constraint condition of the resources and an optimization condition; and determines the allocation of the resources to each of the processes.
-
公开(公告)号：US20230400486A1
公开(公告)日：2023-12-14
申请号：US18118399
申请日：2023-03-07
Applicant: Hitachi, Ltd.
Inventor： Shinji NAKAGAWA , Soichiro TANAKA , Masato KUNITOMO , Kazuaki TOKUNAGA
IPC: G01R23/02
CPC classification number: G01R23/02
Abstract: A highly accurate feature extraction is performed on a signal with temporal variation in amplitude, and this signal is restored to detect a state of a transmission source (output source) of this signal to be normal or abnormal. A signal processing method includes: separating a signal X into an oscillation signal with a constant amplitude X1 and a signal with temporal variation in amplitude X2, the separating performed by a signal separator; performing processing of dimensionality reduction, compression, or the like, on the oscillation signal X1 so as to extract a feature value (information) included in the oscillation signal X1; and outputting a restored signal X1′ that is restored from the oscillation signal X1 by performing processing inverse to the processing of dimensionality reduction, compression, or the like, based on the extracted feature value, performing the processing, the inverse processing, and the outputting performed by a signal X1 restorer.
-
公开(公告)号：US20220270115A1
公开(公告)日：2022-08-25
申请号：US17439493
申请日：2020-12-16
Applicant: HITACHI, LTD.
Inventor： Kazuki YAMANE , Kazuaki TOKUNAGA , Kazuyuki OOTA , Hiroyuki NAMBA
Abstract: A learner generation unit generates, as a learner group, a plurality of learners that learned a correspondence of an attribute and an outcome in each of a plurality of learning data sets extracted from a data group associated with an attribute and an outcome of each of the targets. A target selection unit applies the learner group selected for inference to an inference data set and predicts, for each of the learners, an outcome corresponding to an attribute in the inference data set, calculates, for each attribute in the inference data set, at least one of an average of the outcomes predicted for each of the learners or an index value expressing an uncertainty of the outcomes, and selects, from the inference data set, the target to which the policy is to be executed based on at least one of the calculated average or the calculated index value.
-
-
-
-
-
-
-
-
-
Search Results
10
records
(took 0.014 seconds)
