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1.发明申请公开(公告)号：US20210319364A1
公开(公告)日：2021-10-14
申请号：US17271628
申请日：2018-08-28
Applicant: Shimadzu Corporation
Inventor： Yuichiro FUJITA , Akira NODA
IPC: G06N20/00
Abstract: The present disclosure provides methods for analyzing data to be analyzed by an analysis program using an analysis parameter.
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公开(公告)号：US20190179874A1
公开(公告)日：2019-06-13
申请号：US16322338
申请日：2016-08-03
Applicant: SHIMADZU CORPORATION
Inventor： Akira NODA
Abstract: An analysis data processing method for processing analysis data collected with an analyzing device for each of a plurality of samples, by applying an analytical technique using statistical machine learning to multidimensional analysis data formed by output values obtained from a plurality of channels of a multichannel detector provided in the analyzing device, the method including: acquiring a non-linear regression or non-linear discrimination function expressing analysis data obtained for known samples; calculating a contribution value of each of the output values obtained from the plurality of channels forming the analysis data of the known samples, to the acquired non-linear regression or non-linear discrimination function, based on a differential value of the non-linear regression function or non-linear discrimination function; and identifying one or more of the plurality of channels of the detector, which are to be used for processing analysis data obtained for an unknown sample, based on the contribution value.
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公开(公告)号：US20240011950A1
公开(公告)日：2024-01-11
申请号：US18220653
申请日：2023-07-11
Applicant: SHIMADZU CORPORATION
Inventor： Akira NODA
CPC classification number: G01N30/06 , G01N30/88 , G01N2030/045
Abstract: A chromatography quality control device includes a measurement data acquirer that acquires measurement data obtained as a result of measurement in a chromatograph and stores the measurement data in a storage device, a chromatogram factorizer that retrieves the measurement data from the storage device, dimensionally compresses a chromatogram obtained from the measurement data by factorization and stores component data, the component data obtained by the factorization, in the storage device, and a component data outputter that retrieves the component data from the storage device and outputs the component data to a display device.
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公开(公告)号：US20230131114A1
公开(公告)日：2023-04-27
申请号：US17910501
申请日：2021-02-22
Applicant: Shimadzu Corporation
Inventor： Akira NODA
IPC: G01N30/86
Abstract: A peak tracking device includes a chromatogram acquirer that acquires chromatograms based on measurement data obtained by providing an analysis device with analysis condition data, and a peak associator that associates each peak included in each chromatogram with one another. The peak associator includes a peak spectrum extractor that extracts peak spectral data being a spectrum derived from a peak from measurement spectral data acquired from each measurement data, an orthogonal spectrum extractors that extracts, from the measurement spectral data, spectral data orthogonal to a dominant component among components of the peak spectral data, and a similarity determiner that associates each peak with one another based on similarity of the spectral data extracted from the orthogonal spectrum extractor.
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公开(公告)号：US20190011408A1
公开(公告)日：2019-01-10
申请号：US16068197
申请日：2016-01-06
Applicant: Shimadzu Corporation
Inventor： Akira NODA
IPC: G01N30/86
Abstract: Wavelength spectrums of peaks detected on a chromatogram based on observation data to be processed are extracted to create a spectrum set in which the intensity values of the spectrums are normalized. One wavelength spectrum is selected from the set, and a vector of the wavelength spectrum at each point in time of measurement based on the observation data is projected so as to be perpendicular to the vector of the selected spectrum. The vectors of the wavelength spectrums in the set are also similarly projected. Consequently, the selected spectrum is erased from the set. The processes are repeated until the set does not include a spectrum, and the obtained signals are added. The signal resulting from the addition is a signal indicating the waveform shape of an unknown baseline.
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Patent Agency Ranking
公开(公告)号：US20180268293A1
公开(公告)日：2018-09-20
申请号：US15921107
申请日：2018-03-14
Applicant: SHIMADZU CORPORATION
Inventor： Akira NODA
CPC classification number: G06N3/08 , G01N30/86 , G06F17/18 , G06K9/00536 , G06N3/0436 , G06N3/084 , G06N5/048 , G06N7/005 , G06N7/08 , G06N20/10
Abstract: Using training data, machine learning is performed to construct a learning model which is a non-linear function for discrimination or regression analysis (S2). A degree of contribution of each input dimension is calculated from a partial differential value of that function. Input dimensions to be invalidated are determined using a threshold defined by a Gaussian distribution function based on the degrees of contribution (S3-S5). Machine learning is once more performed using the training data with the partially-invalidated input dimensions (S6). A new value of the degree of contribution of each input dimension is determined from the obtained learning model, and the degree of contribution is updated using the old and new values (S7-S8). After the processes of Steps S5-S8 are iterated a specified number of times (S9), useful dimensions are determined based on the finally obtained degrees of contribution, and the machine-learning model is constructed (S10).
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7.发明申请公开(公告)号：US20180031423A1
公开(公告)日：2018-02-01
申请号：US15550006
申请日：2015-02-09
Applicant: Shimadzu Corporation
Inventor： Masahide GUNJI , Akira NODA , Kensuke OTAKE
CPC classification number: G01J3/36 , G01J3/12 , G01J3/28 , G01J3/2803 , G01J3/42
Abstract: A problem addressed by the present invention is to reduce the influence of stray light incident on each light-receiving element in the case of receiving each wavelength of light using a plurality of light-receiving elements. The multichannel spectrophotometer according to the present invention is a detector for simultaneously detecting the entirety of wavelength-dispersed light obtained by introducing light from a sample to a light-dispersing element (16) and dispersing this light into wavelengths by the light-dispersing element (16), including: a multichannel-type detector (17) including a plurality of light-receiving elements arranged in a one-dimensional form in a wavelength-dispersing direction of the light-dispersing element; a light amount calculator (221) for calculating the amount of light from a detection signal of each of the plurality of light-receiving elements (PD); a spectrum creator (222) for creating, from the amounts of light calculated by the light amount calculator (221), a spectrum showing a relationship between wavelength and the amount of light; and a computing section (224) for estimating, from the spectrum, the amount of stray light incident on each light-receiving element (PD) and correcting the spectrum by subtracting, from the amount of wavelength-dispersed light incident on each light-receiving element, the amount of stray light.
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公开(公告)号：US20230204548A1
公开(公告)日：2023-06-29
申请号：US17927964
申请日：2021-03-31
Applicant: Shimadzu Corporation
Inventor： Akira NODA
IPC: G01N30/86
CPC classification number: G01N30/8634
Abstract: A peak tracking device includes a chromatogram acquirer that acquires chromatograms based on measurement data pieces obtained from measurements by an analyzer in accordance with analysis condition data pieces, a score calculator that calculates score data based on a belonging probability, the probability being calculated for each peak appeared in each chromatogram to belong to one of substances included in a sample, and a score displayer that displays on a display the score data calculated by the score calculator.
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公开(公告)号：US20220382834A1
公开(公告)日：2022-12-01
申请号：US17729906
申请日：2022-04-26
Applicant: SHIMADZU CORPORATION
Inventor： Yuichiro FUJITA , Akira NODA , Yusuke TAMAI , Yoshihiro YAMADA
Abstract: An analysis method for analyzing a sample includes a first step of acquiring measurement data including a first signal based on the sample and a second signal based on noise added to the first signal as a result of analysis of the sample, a second step of assuming a shape representing the first signal and a shape representing the second signal and modeling the measurement data using Bayesian inference, and a third step of estimating a probability distribution of characteristics of the sample based on the modeled measurement data.
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10.发明申请公开(公告)号：US20220253508A1
公开(公告)日：2022-08-11
申请号：US17294181
申请日：2019-11-14
Applicant: SHIMADZU CORPORATION
Inventor： Yusuke TAGAWA , Akira NODA , Wataru TAKAHASHI , Tetsuya KOBAYASHI
Abstract: A computer calculates interference fringe phase estimated value data (30) of a phase-restored object image by performing iterative approximation calculation using interference fringe intensity data (10) measured by a digital holography apparatus and interference fringe phase initial value data (20), which is an estimated initial phase value of the image of the object. The interference fringe phase initial value data (20) is calculated by an initial phase estimator (300). The initial phase estimator (300) is constructed by implementing machine learning using interference fringe intensity data and the like for learning. The computer acquires reconfigured intensity data (40) and reconfigured phase data (50) by performing optical wave propagation calculation using the interference fringe phase estimation value data (30) of the image of the object acquired through phase restoration, and the interference fringe intensity data (10) used as input data for the initial phase estimator (300). This provides an iterative approximation calculation method and the like capable of making an initial value of a solution used in the iterative approximation calculation method a value close to the true value.
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