公开(公告)号：US20230110600A1

公开(公告)日：2023-04-13

申请号：US17908968

申请日：2020-03-17

Applicant: NEC Corporation

Inventor： So YAMADA ,  Junko WATANABE ,  Riki ETO ,  Hiromi SHIMIZU ,  Noriyuki TONOUCHI

IPC: G01N33/00

Abstract: In a noise removing apparatus, a data acquisition unit acquires sets of odor data measured using a sensor with respect to a plurality of objects, each set of odor data representing features of an odor of an object by respective rates of a plurality of odor molecules. A noise component extraction unit extract a noise component using a set of odor data. A noise removing unit removes the noise component from each set of odor data to be processed.

公开(公告)号：US20220309397A1

公开(公告)日：2022-09-29

申请号：US17618045

申请日：2019-06-19

Applicant: NEC Corporation

Inventor： So YAMADA ,  Riki ETO ,  Junko WATANABE ,  Hiromi SHIMIZU ,  Hidetaka HANE ,  Shigeo KIMURA ,  Wataru FUJII ,  Tomoyuki KAWABE

IPC: G06N20/00 ,  G01N33/02

Abstract: To mitigate degradation in the accuracy of a prediction model by re-learning the prediction model with consideration given to the characteristics of a detection value of a sensor.
This prediction model re-learning device comprises: a calculation unit that, on the basis of data related to smell detection by a sensor, calculates an index for determining whether or not to re-learn a prediction model for smell; and a re-learning unit that re-learns the prediction model in cases where the calculated index satisfies a predetermined condition.

公开(公告)号：US20200056797A1

公开(公告)日：2020-02-20

申请号：US16499395

申请日：2017-03-30

Applicant: NEC Corporation

Inventor： Masanori TSUJIKAWA ,  Yoshifumi ONISHI ,  So YAMADA ,  Toshinobu OGATSU ,  Yukihiro KIUCHI ,  Sho OHTANI

IPC: F24F11/30 ,  F24F11/64 ,  F24F11/65 ,  F24F11/80 ,  G05B19/042

Abstract: Provided an area-specific environment management system, which manages an environment in an individual one of a plurality of areas, the system including: a biological information sensor that acquires biological information about at least one of an individual and a group who belongs to an individual one of the areas; an environmental information sensor that acquires environmental information about an individual one of the areas; an arousal level estimation section that estimates an arousal level with respect to the biological information by using an arousal level estimation model; and an environment provision section that provides an environment to an individual one of the areas based on the arousal level and the environmental information, wherein the arousal level includes, as a state to which the arousal level belongs, a state from sleepy until awakened; a wakeful state; and an excessively wakeful state, and wherein the environment provision section includes an individual control mode corresponding to a state to which the arousal level belongs and manages an environment to be provided to an individual one of the areas based on the control mode.

公开(公告)号：US20220343184A1

公开(公告)日：2022-10-27

申请号：US17640474

申请日：2019-09-18

Applicant: NEC Corporation

Inventor： So YAMADA ,  Riki ETO ,  Junko WATANABE ,  Ryota SUZUKI ,  Hiromi SHIMIZU

IPC: G06N5/02 ,  G06N5/04

Abstract: A learning apparatus acquires learning data in which odor data of each object and a label representing the object in a label space expressing features of odors are associated with each other, and learns, based on odor data, a model for predicting a label of the odor data in the label space, by using the learning data. In a data processing apparatus for processing odor data, an acquisition unit acquires odor data from an outside. A prediction unit predicts a label of the acquired odor data in the label space by using the model in which a relationship between sets of odor data and labels in the label space expressing the features of the odors is learned.

公开(公告)号：US20220172843A1

公开(公告)日：2022-06-02

申请号：US17601857

申请日：2020-04-03

Applicant: NEC CORPORATION ,  Masao MIYASHITA

Inventor： So YAMADA ,  Riki ETO ,  Junko WATANABE ,  Masao MIYASHITA ,  Marina GOTO

IPC: G16H50/20 ,  G06K9/62

Abstract: A selection unit (11) in a learning device (10) inputs a plurality of “learning candidate data units.” The plurality of learning candidate data units are respectively related to a plurality of subjects including a plurality of cancer patients and a plurality of non-cancer patients. Further, each learning candidate data unit at least includes a “urine odor data unit” and a “cancer label.” Then, from the plurality of input learning candidate data units, the selection unit (11) selects part of the plurality of learning candidate data units as a “learning target data set,” based on a “selection rule.” By using the learning target data set selected by the selection unit (11), a determination model formation unit (12) forms a “determination model” for determining which of urine of a cancer patient and urine of a non-cancer patient a determination target urine odor data unit is related to.

公开(公告)号：US20200250691A1

公开(公告)日：2020-08-06

申请号：US16651793

申请日：2018-09-25

Applicant: NEC CORPORATION

Inventor： So YAMADA ,  Yousuke MOTOHASHI ,  Norihito GOTO ,  Ryo TAKATA ,  Tomoko NARUSAKA ,  Hiroki NAKATANI

IPC: G06Q30/02 ,  G06F17/18

Abstract: An information processing apparatus according to the present invention divides a period in which performance data at a business facility as a prediction target is present into a plurality of partial periods. The information processing apparatus performs prediction processing using each of a plurality of prediction models for a second partial period which is a partial period other than a first partial period including a start time of a predetermined period, and compares the result of the process with the performance data in a partial period as a target of the prediction processing. The information processing apparatus decides a prediction model to be used for sales prediction for a period subsequent to the predetermined period on the basis of the result of the comparison.