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公开(公告)号：EP4357746A1
公开(公告)日：2024-04-24
申请号：EP22824600.5
申请日：2022-03-24
Applicant: KONICA MINOLTA, INC.
Inventor： ASANO, Motohiro , MORIMOTO, Takashi , TAKAMURA, Shunsuke , KIUCHI, Mikako
CPC classification number: G06T7/00 , G01M3/38 , G01N21/3504 , G01N2021/353120130101 , G01N2201/022120130101 , G01N2201/129620130101
Abstract: A gas concentration feature quantity estimation device 20 includes: an inspection data acquisition unit 211, 212 that acquires time-series pixel group inspection data and a temperature value of a gas, the time-series pixel group inspection data being region-extracted from inspection data of a gas distribution moving image representing an existence region of the gas in a space, and having two or more pixels in a vertical direction and a horizontal direction, respectively; and an estimation unit 2151 that calculates an estimation value of a gas concentration feature quantity corresponding to the time-series pixel group inspection data acquired by the inspection data acquisition unit using an inference model, which is machine-learned using time-series pixel group training data of the gas distribution moving image having the same size as the time-series pixel group inspection data, and a gas temperature value and a value of the gas concentration feature quantity corresponding to the time-series pixel group training data as training data.
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22.发明公开
公开(公告)号：EP4414688A1
公开(公告)日：2024-08-14
申请号：EP23177121.3
申请日：2023-06-02
Applicant: BAE Systems Space & Mission Systems Inc.
Inventor： WIEMOKLY, Gary, D. , COMMONS, Timothy, J.
IPC: G01N21/31 , G01N21/3504 , G01S17/95 , G01N21/359 , G01N21/17 , G01N21/35 , G01J3/28
CPC classification number: G01N2021/179520130101 , G01N2201/021420130101 , G01N2021/011820130101 , G01N21/3504 , G01N2021/353120130101 , G01N21/359 , G01N2021/316620130101 , G01N2201/129620130101 , G01J3/36 , G01J3/2803 , G01J2003/121320130101 , G01J3/02 , G01N21/314 , G01J2003/282620130101 , G01J3/2823 , G01J2003/280620130101
Abstract: Multi-spectral methods and systems for the day and night remote sensing (detection, identification, and quantification) of greenhouse gas emission sources (128) from space are provided. The sensor system (104) includes a telescope assembly (220) that passively collects light (124) from an observation area (112) and directs that light (124) through spectral, optical filters (232) and to a sensor array (236) having a plurality of rows and columns of pixels. Different groups of sensor array pixel rows (604) are aligned to receive light that has passed through different optical filters (404a-j). The filters (404a-j) have passbands (504a-j) corresponding to the reflective and emissive bands of gases of interest, as well as associated reflective and emissive reference bands, and broadband spectral bands. A set of image data frames is obtained as the field of view (116) of the sensor system moves over an observation area (112) and an aggregate image showing locations of detected gas emissions (120) is generated using the collected data.
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公开(公告)号：EP4404828A1
公开(公告)日：2024-07-31
申请号：EP22873655.9
申请日：2022-09-23
Applicant: Ihns, Jurgen
Inventor： Ihns, Jurgen
CPC classification number: G01N21/31 , G01N2201/062720130101 , G01N2201/129620130101 , A61B5/0077 , A61B5/441 , A61B5/7264 , A61B5/0075
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24.发明公开
公开(公告)号：EP4400828A1
公开(公告)日：2024-07-17
申请号：EP22949674.0
申请日：2022-11-16
Applicant: LG Chem, Ltd.
Inventor： KIM, Jae Hyun , KIM, Byung Mook , LEE, Jin Yeong , LEE, Kyu Hwang , SONG, Young Soo
CPC classification number: G01N2201/129620130101 , G01N2201/12920130101
Abstract: A method for generating a concentration prediction model for predicting a concentration of a target substance through machine learning. The method includes a training data generation step of generating an optimal transformed spectrum obtained by transforming a basic spectrum of a substance of a known concentration according to a predetermined transformation condition as training data, and a concentration prediction model generation step of generating a concentration prediction model by machine learning the optimal transformed spectrum generated in the training data generation step and transformed according to the predetermined transformation condition and an actually measured concentration of a substance corresponding to the optimal transformed spectrum, and the method may improve accuracy in substance concentration prediction by suppressing a spectral change caused by compounds other than an analyte to be predicted and maximizing the spectral change with a concentration of the analyte.
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25.发明公开
公开(公告)号：EP4396563A1
公开(公告)日：2024-07-10
申请号：EP22772938.1
申请日：2022-09-02
Applicant: Boehringer Ingelheim International GmbH
Inventor： SMIATEK, Jens , BLUHMKI, Erich , BURKERT, Oliver , KOHLER, Benjamin Joshua , LINK, Selina , MILLER, Melanie
CPC classification number: G01N2021/642320130101 , G01J3/4406 , G01N21/645 , G01N2201/129620130101 , G01N21/78 , G01N2021/778620130101 , G01N21/29 , G01N21/6447 , G01N21/6452 , G01J3/28
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Patent Agency Ranking26.发明授权
公开(公告)号：EP3842788B1
公开(公告)日：2024-06-26
申请号：EP20216124.6
申请日：2020-12-21
IPC: G01N21/27 , G01N21/359 , G01J3/00 , G01J3/28 , G01J3/02 , G06N20/10 , G06V10/143 , G06V10/32 , G06V10/77 , G01N21/84
CPC classification number: G01N2201/12920130101 , G01N2021/84520130101 , G01J3/28 , G01N21/27 , G01N21/359 , G01J3/027 , G01J3/00 , G01N2201/129620130101 , G06N20/10 , G06V10/143 , G06V10/32 , G06V2201/0620220101 , G06V10/7715
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公开(公告)号：EP4385614A1
公开(公告)日：2024-06-19
申请号：EP23171595.4
申请日：2023-05-04
Applicant: Samsung Electronics Co., Ltd.
Inventor： HONG, Wooram , KWON, Hyukju , KIM, Gahee , OH, Won Seok , JEON, Hyunjeong , CHOI, Hyun Do , CHANG, Minsu , CHOI, Younsuk
IPC: B01F33/452 , G01N21/51 , G01N21/31
CPC classification number: B01F33/452 , G01N21/31 , G01N21/272 , G01N2201/0820130101 , G01N2021/841620130101 , G01N2201/129620130101 , G01N21/75
Abstract: The present disclosure provides optical monitoring devices. In some embodiments, the optical monitoring device includes a heating stirrer, a floating barrel, and a support body arranged to support the floating barrel. The floating barrel includes a barrel body facing the heating stirrer and spaced apart from the heating stirrer by a gap, a cavity provided in the barrel body and configured to accommodate at least one of a vessel and a conduit, an irradiator arranged in the barrel body and configured to radiate light to the cavity, and a light receiver arranged in the barrel body, aligned with the irradiator and the cavity, and configured to receive light from the cavity.
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公开(公告)号：EP3676750B1
公开(公告)日：2024-06-05
申请号：EP18766162.4
申请日：2018-08-31
CPC classification number: G06T7/0012 , G06T7/20 , G06T2207/1001620130101 , G06T2207/1005620130101 , G06T2207/2007220130101 , G06T2207/2007620130101 , G06T2207/2008120130101 , G06T2207/2008420130101 , G06T2207/3002420130101 , G06T2207/3024220130101 , G06T7/70 , G06T7/77 , G06T7/277 , G02B21/367 , G01N21/6408 , G01N21/6458 , G01N2201/129620130101 , G01N15/1468 , G01N2015/145420130101 , G01N2015/100620130101 , G06V20/695 , G06V10/454 , G06V10/82 , G06F18/24155
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29.发明公开
公开(公告)号：EP4368969A1
公开(公告)日：2024-05-15
申请号：EP23206363.6
申请日：2023-10-27
Applicant: Deere & Company
Inventor： Schade, Peter , Struve, Carsten , Gralfs, Renke
IPC: G01N21/3563 , G01N21/359 , G01N21/85 , A01D41/127
CPC classification number: G01N21/85 , G01N2021/859220130101 , G01N21/359 , G01N21/3563 , A01D41/1277 , G01N2201/129620130101
Abstract: Ein Verfahren und eine entsprechende Anordnung zur Messung einer massen- und/oder größenspezifischen Größe von Körnerfrüchten umfassen folgende Schritte oder Mittel zu deren Durchführung:
Aufnehmen eines Spektrums der Körnerfrüchte mittels eines im Nahinfrarotbereich arbeitenden Spektrometers (80a, 80b), und
Ableiten der massen- oder größenspezifischen Größe aus dem Spektrum.-
公开(公告)号：EP4439053A1
公开(公告)日：2024-10-02
申请号：EP22895301.4
申请日：2022-10-14
Applicant: FUJIFILM Corporation
Inventor： SUGITA, Yui
CPC classification number: C12M1/34 , C12M3/00 , G01N21/65 , G01N33/483 , G06N3/02 , G06N20/00 , G01N2201/129620130101
Abstract: An information processing apparatus is an information processing apparatus that predicts a state of a component in a suspension in which biological molecules are dispersed as the components in a liquid, based on spectrum measurement data obtained by measuring a spectrum of electromagnetic waves emitted from the suspension, the information processing apparatus including: a processor, in which the processor uses a calibrated state predictive model calibrated by using at least two types of calibration data of first calibration data and second calibration data, the first calibration data including first spectrum measurement data, which is the spectrum measurement data obtained from a first suspension containing a first component, and first component relation information related to the first component as explanatory variables, and including first state relation information related to a state of the first component as a response variable, and the second calibration data including second spectrum measurement data, which is the spectrum measurement data obtained from a second suspension containing a second component, and second component relation information related to the second component as explanatory variables, and including second state relation information related to a state of the second component as a response variable, acquires target component relation information related to a target component, which is a target of which the state is predicted, and target spectrum measurement data, which is the spectrum measurement data obtained from a target suspension containing the target component, and applies the target component relation information and the target spectrum measurement data to the calibrated state predictive model, and causes the calibrated state predictive model to output a target state prediction result obtained by predicting the state of the target component in the target suspension.
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