公开(公告)号：US20220318917A1

公开(公告)日：2022-10-06

申请号：US17638367

申请日：2019-12-25

Applicant: NEC Corporation

Inventor： Riki ETO

IPC: G06Q40/08

Abstract: The intention feature extraction device 80 includes an input unit 81, a learning unit 82, and a feature extraction unit 83. The input unit 81 receives input of a decision-making history of a subject. The learning unit 82 learns an objective function in which factors of an intended behavior of the subject are explanatory variables, based on the decision-making history. The feature extraction unit 83 extracts weights of the explanatory variables of the learned objective function as features which represent intention of the subject.

公开(公告)号：US20220036223A1

公开(公告)日：2022-02-03

申请号：US17279315

申请日：2018-09-27

Applicant: NEC Corporation

Inventor： Riki ETO

IPC: G06N7/00 ,  G06N20/00 ,  G01N33/00

Abstract: A processing apparatus (20) includes a prediction equation generation unit (210) and an output unit (250). The prediction equation generation unit (210) generates, through machine learning having a plurality of feature values based on outputs from a set of a plurality of kinds of sensors and correct answer data as inputs, a prediction equation that has the plurality of feature values as variables and is used for predicting an odor component. The output unit (250) outputs a plurality of weights as information indicating the prediction equation in association with the feature values, respectively.

公开(公告)号：US20210405004A1

公开(公告)日：2021-12-30

申请号：US17279285

申请日：2018-09-27

Applicant: NEC Corporation

Inventor： Riki ETO

IPC: G01N33/00 ,  G06N5/04

Abstract: An information processing apparatus (20) includes a use environment information acquisition unit (210), a model selection unit (220), and a prediction unit (230). The use environment information acquisition unit (210) acquires use environment information indicating a use environment of a physical system having input-output. The model selection unit (220) selects, from a storage unit storing a plurality of prediction models of the physical system in association with section information indicating a section based on the use environment, a prediction model being associated with section information of a section matching the use environment indicated by the use environment information. The prediction unit (230) performs prediction based on output of the physical system by use of the selected prediction model.

公开(公告)号：US20210255156A1

公开(公告)日：2021-08-19

申请号：US17251337

申请日：2018-06-29

Applicant: NEC CORPORATION

Inventor： Riki ETO

IPC: G01N33/00 ,  G06N20/00

Abstract: A learning model generation support apparatus 10 is an apparatus for supporting generation of a learning model to be utilized in odor detection using an odor sensor that reacts to a plurality of types of odors. The learning model generation support apparatus 10 includes a data acquisition unit 11 that acquires sensor data output by the odor sensor under specific measurement conditions and condition data specifying the measurement conditions, and inputs, as training data, the acquired sensor data and condition data to a machine learning engine 31 that generates the learning model, and a condition setting unit 12 that acquires a predictive accuracy output by the machine learning engine in response to input of the training data, and sets new measurement conditions for when the odor sensor newly outputs sensor data as training data, based on the acquired predictive accuracy.

公开(公告)号：US20210150388A1

公开(公告)日：2021-05-20

申请号：US17043783

申请日：2018-03-30

Applicant: NEC CORPORATION

Inventor： Riki ETO

IPC: G06N5/04 ,  G06N20/00 ,  G06Q30/02 ,  G05D1/02

Abstract: An input unit 81 inputs action data, in which a state of an environment and an action performed under the environment are associated with each other, a prediction model for predicting a state according to the action on the basis of the action data, and explanatory variables of objective functions for evaluating the state and the action together. A structure setting unit 82 sets a branch structure in which the objective functions are placed at lowermost nodes of a hierarchical mixtures of experts model. A learning unit 83 learns the objective functions including the explanatory variables and branching conditions at nodes of the hierarchical mixtures of experts model, on the basis of the states predicted with the prediction model applied to the action data divided in accordance with the branch structure.

公开(公告)号：US20200322435A1

公开(公告)日：2020-10-08

申请号：US16753403

申请日：2018-10-02

Applicant: NEC CORPORATION

Inventor： Junko WATANABE ,  Riki ETO ,  Hidetaka HANE ,  Shigeo KIMURA ,  Shintarou TSUCHIYA

IPC: H04L29/08 ,  G01N33/00 ,  G01N33/497

Abstract: A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that selects an analyzer, determines preprocessing to be performed on the sensor data, according to the selected analyzer, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data from the terminal apparatus, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.

公开(公告)号：US20200317220A1

公开(公告)日：2020-10-08

申请号：US16305441

申请日：2017-06-05

Applicant: NEC Corporation

Inventor： Yoshio KAMEDA ,  Riki ETO ,  Wemer WEE ,  Yusuke KIKUCHI

IPC: B60W60/00 ,  B60W40/105 ,  B60W40/107 ,  G06K9/62

Abstract: A vehicle control system for controlling driving of a vehicle reflecting an environment and a characteristic of a user, while suppressing increase in learning time, is provided. The vehicle control system includes classification means for classifying, by using one or more attributes selected from accumulation means for accumulating data including attributes relating to driving of a vehicle, driving properties included in the data, learning means for learning a model representing the driving property, for each of types that are a result of classification by the classification means, and control information determination means for determining, by using the model learned for the type associated with a value of the attribute at time of driving of a control target vehicle, control information for the driving.

公开(公告)号：US20200300798A1

公开(公告)日：2020-09-24

申请号：US16753284

申请日：2018-10-02

Applicant: NEC CORPORATION

Inventor： Junko WATANABE ,  Riki ETO ,  Hidetaka HANE ,  Shigeo KIMURA ,  Shintarou TSUCHIYA

IPC: G01N27/12 ,  H04L29/08 ,  G01K13/00 ,  G01N33/00 ,  A61B10/00

Abstract: A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that determines preprocessing to be performed on the sensor data, by selecting an analyzer according to the environment of the odor sensor 40, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.

公开(公告)号：US20170075372A1

公开(公告)日：2017-03-16

申请号：US15125394

申请日：2015-02-27

Applicant: NEC Corporation

Inventor： Yosuke MOTOHASHI ,  Ryohei FUJIMAKI ,  Satoshi MORINAGA ,  Riki ETO

IPC: G05F1/66 ,  G05B13/02

CPC classification number: G05F1/66 ,  G05B13/026 ,  G05B13/048 ,  G05B15/02 ,  G05B2219/25011 ,  G05B2219/40458 ,  G06N7/005 ,  G06Q10/04 ,  G06Q50/06

Abstract: An energy-amount estimation device that can predict an energy amount with a high degree of precision is disclosed. Said energy-amount estimation device has a prediction unit that, on the basis of the relationship between energy amount and one or more explanatory variables representing information that can influence said energy amount, predicts an energy amount pertaining to prediction information that indicates a prediction target. The aforementioned relationship is computed on the basis of specific learning information, within learning information in which an objective variable representing the aforementioned energy amount is associated with the one or more explanatory variables, that matches or is similar to the aforementioned prediction information.

Abstract translation: 公开了能够高精度地预测能量的能量估计装置。 所述能量估计装置具有预测单元，其基于能量量与表示能够影响所述能量的信息的一个或多个说明变量之间的关系，预测与表示预测对象的预测信息有关的能量。 上述关系是基于特定学习信息计算的，其中学习信息中表示上述能量量的客观变量与一个或多个解释变量相关联，其与上述预测信息相匹配或类似。

公开(公告)号：US20240193220A1

公开(公告)日：2024-06-13

申请号：US18385623

申请日：2023-10-31

Applicant: NEC Corporation

Inventor： Dai KUBOTA ,  Riki ETO ,  Takahiro NISHIMURA

IPC: G06F17/11

CPC classification number: G06F17/11

Abstract: At least one processor included in an information processing apparatus carries out: a first calculation process of calculating a second solution which converges to a first solution of an optimization problem under a constraint condition that has been set in advance; and a second calculation process of calculating, by referring to the first solution as well as the second solution, a progress level of optimization calculation. This makes it possible to support decision making of a user.