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公开(公告)号：US20170260924A1
公开(公告)日：2017-09-14
申请号：US15453059
申请日：2017-03-08
Applicant: FUJITSU LIMITED
Inventor： Yuhei UMEDA
CPC classification number: F02D41/263 , F02D41/1401 , F02D41/2419 , F02D41/2432 , F02D41/2445 , F02D41/2467 , F02D2041/1433
Abstract: A non-transitory computer-readable recording medium stores a data-acquisition-instruction generating program that causes a computer to execute a process including: first generating a plurality of change curves of each of control parameters based on requisite density information, the requisite density information being related to a data measurement density in a data measurement region specified by a combination of a plurality of control parameters, the plurality of control parameters being used by a device subject to the data measurement; and second generating a data acquisition instruction to perform measurement at a plurality of measurement points with respect to the device to be measured in an order in which change of each control parameter becomes change corresponding to the change curves, and new measurement is performed such that only one of the control parameters changes from previous measurement.
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公开(公告)号：US20170206450A1
公开(公告)日：2017-07-20
申请号：US15383195
申请日：2016-12-19
Applicant: FUJITSU LIMITED
Inventor： Yuhei UMEDA
CPC classification number: G06N3/08 , G06N3/04 , G06N3/0454 , G06N3/084
Abstract: A disclosed machine learning method includes: calculating a first output error between a label and an output in a case where dropout in which values are replaced with 0 is executed for a last layer of a first channel among plural channels in a parallel neural network; calculating a second output error between the label and an output in a case where, the dropout is not executed for the last layer of the first channel; and identifying at least one channel from the plural channels based on a difference between the first output error and the second output error to update parameters of the identified channel.
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公开(公告)号：US20230376846A1
公开(公告)日：2023-11-23
申请号：US18199443
申请日：2023-05-19
Applicant: Fujitsu Limited , INDIAN INSTITUTE OF SCIENCE
Inventor： Sho TAKEMORI , Takashi KATOH , Yuhei UMEDA , Harsh RANGWANI , Shrinivas RAMASUBRAMANIAN , Venkatesh Babu RADHAKRISHNAN
Abstract: An information processing apparatus includes one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being configured to decide a gain matrix based on an input metric, perform selection of first training data from a plurality of unlabeled training data, to be used for training a machine learning model, based on the gain matrix, and perform training of the machine learning model based on the first training data, a predicted label that is predicted from the first training data, and a loss function including the gain matrix.
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公开(公告)号：US20190180178A1
公开(公告)日：2019-06-13
申请号：US16197833
申请日：2018-11-21
Applicant: FUJITSU LIMITED
Inventor： Yuhei UMEDA
Abstract: A determination apparatus extracts a plurality of specific events that have values greater than an event determination threshold from among a plurality of events that have occurred in chronological order. The determination apparatus generates a feature amount related to adjacent occurrence intervals of the plurality of specific events, using the plurality of specific events. The determination apparatus generates array data corresponding to the plurality of events using points each having components of the event determination threshold and the feature amount, while changing the event determination threshold. The determination apparatus determines a type of the plurality of events using the array data.
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公开(公告)号：US20150025865A1
公开(公告)日：2015-01-22
申请号：US14503442
申请日：2014-10-01
Applicant: FUJITSU LIMITED
Inventor： Yuhei UMEDA , Tsugito MARUYAMA , Hirokazu ANAI
CPC classification number: G06F17/14 , G05B13/042 , G05B13/048 , G06F17/10 , G06F17/16 , G06F17/5009
Abstract: In this disclosure, equations to be solved in the model predictive control are transformed by using an off-line algebraic simplification method into a matrix operational expression representing a product of a coefficient matrix and a vector regarding solution inputs within a control horizon is equal to a function vector regarding target values of output states and the output states. The size of the coefficient matrix is reduced compared with the conventional matrix. Then, the matrix operational expression is solved in an online plant control apparatus with present output states and present target values of the output stats of a plant to be controlled, by the direct method, to output the solution to the plant.
Abstract translation: 在本公开中，通过使用离线代数简化方法将要在模型预测控制中求解的等式变换成表示系数矩阵和关于控制范围内的解输入的向量的乘积的矩阵运算表达式等于 关于输出状态和输出状态的目标值的函数向量。 与常规矩阵相比，系数矩阵的大小减小。 然后，通过直接方法，在具有当前输出状态和要控制的设备的输出状态的当前目标值的在线工厂控制装置中解决矩阵运算表达式，以将该解决方案输出到工厂。
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Patent Agency Ranking
公开(公告)号：US20210390623A1
公开(公告)日：2021-12-16
申请号：US17330411
申请日：2021-05-26
Applicant: FUJITSU LIMITED
Inventor： Masaru TODORIKI , Yuhei UMEDA , Ken KOBAYASHI , Koji MARUHASHI
Abstract: A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process, the process including determining numerical values indicating features at respective timings having a predetermined time interval with respect to time-series data to be analyzed, numbers of the numerical values at the respective timings being made same, and generating an attractor related to the time-series data based on the determined numerical values.
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公开(公告)号：US20190236407A1
公开(公告)日：2019-08-01
申请号：US16262974
申请日：2019-01-31
Applicant: FUJITSU LIMITED
Inventor： Masaru TODORIKI , Yuhei UMEDA , Ken KOBAYASHI
CPC classification number: G06K9/6232 , G06K9/00523 , G06K9/00536
Abstract: A detection device adds, with regard to each of a plurality of sets of time-series data including a plurality of items, a time-shift term to at least any of the plurality of items included in each of the plurality of sets of time-series data. The detection device generates a plurality of attractors from the plurality of sets of time-series data to which the time-shift term has been added. The detection device generates a plurality of Betti sequences from each of the plurality of attractors by executing a persistent homology transformation on each of the plurality of attractors, each of the plurality of Betti sequences indicating a correspondence relationship between a Betti number and a scale value has been used for the persistent homology transformation. The detection device detects a state change in the plurality of sets of time-series data based on a time change in the plurality of Betti sequences.
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公开(公告)号：US20190012297A1
公开(公告)日：2019-01-10
申请号：US16028915
申请日：2018-07-06
Applicant: FUJITSU LIMITED
Inventor： Ken KOBAYASHI , Yuhei UMEDA , Masaru TODORIKI , Hiroya INAKOSHI
Abstract: A non-transitory computer-readable recording medium stores therein an analysis program that causes a computer to execute a process including: dividing a Betti number sequence into a plurality of Betti number sequences, the Betti number sequence being included in a result of a persistent homology process performed on time series data, the plurality of Betti number sequences corresponding to different dimension of the Betti number sequence; and performing an analysis on each of the plurality of Betti number sequences.
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公开(公告)号：US20170345071A1
公开(公告)日：2017-11-30
申请号：US15680686
申请日：2017-08-18
Applicant: FUJITSU LIMITED
Inventor： Yuhei UMEDA , Yoshinobu Matsui , Kazuhiro Matsumoto , Hirokazu Anai , Isamu Watanabe
IPC: G06Q30/06
CPC classification number: G06Q30/0605
Abstract: A planning method for planning to order a product, the planning method being executed by a computer, the planning method includes: generating a predicted value of a demand of the product at each plurality of prices based on a selling price and a number of sales in association with each other for each past sale date; calculating an order quantity that yields a highest profit, for each of the plurality of prices, using the predicted value of the demand of the product at the plurality of prices; storing, for the plurality of prices, the calculated order quantity and a profit in association with each other into a memory; and identifying a combination of a price and an order quantity that yields the highest profit, with reference to the memory.
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公开(公告)号：US20160171571A1
公开(公告)日：2016-06-16
申请号：US14940812
申请日：2015-11-13
Applicant: FUJITSU LIMITED
Inventor： Yuhei UMEDA , Yoshinobu MATSUI , Kazuhiro MATSUMOTO , Hirokazu ANAI , Isamu WATANABE
IPC: G06Q30/06
CPC classification number: G06Q30/0605
Abstract: A planning method for planning to order a product, the planning method being executed by a computer, the planning method includes: generating a predicted value of a demand of the product at each plurality of prices based on a selling price and a number of sales in association with each other for each past sale date; calculating an order quantity that yields a highest profit, for each of the plurality of prices, using the predicted value of the demand of the product at the plurality of prices; storing, for the plurality of prices, the calculated order quantity and a profit in association with each other into a memory; and identifying a combination of a price and an order quantity that yields the highest profit, with reference to the memory.
Abstract translation: 一种计划订购产品的计划方法，由计算机执行的规划方法，所述规划方法包括：基于销售价格和销售数量，在每个多个价格中生成产品的需求的预测值 每个过去的销售日期彼此关联; 使用所述多个价格的所述产品的需求的预测值来计算对于所述多个价格中的每一个产生最高利润的订单数量; 将多个价格中的计算出的订单数量和利润相关联地存储到存储器中; 并且参考记忆来确定产生最高利润的价格和订单数量的组合。
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