Abstract: A power conversion device according to an embodiment includes: a voltage regulator circuit configured to regulate power from a power source to a desired voltage; an inverter configured to convert the power output from the voltage regulator circuit into an alternate current power; a resonant circuit having inductance and capacitance; a high frequency transformer configured to convert the alternate current power of the inverter; a rectifier configured to convert the alternate current power output from the high frequency transformer into a direct current power; a temperature detector configured to detect a temperature of the resonant circuit; and a controller configured to detect an anomalous resonant frequency when the temperature is equal to or higher than a predetermined temperature threshold to control an anomalous state.

Abstract: A hydraulic drive apparatus includes a flow-path selector valve and a flow-path switching control unit that operates the valve. The flow-path selector valve has a first position for a single operation state and a second position for a combined operation state, configured to, at the first position, form a first flow path connected to a first pump, a second flow path connected to a second pump, and a connecting flow path providing communication between the first flow path and the second flow path. When a driving state of a work actuator is deviated from an allowable range in the combined operation state, the flow-path switching control unit reduces an opening area of the connecting flow path as compared with that when the driving state is within the allowable range.

Abstract: A data processing system includes an original data storage part (2) that stores original data of a three-dimensional chromatogram including chromatogram data and a spectrum acquired by chromatography analysis, an arithmetic processor (4) configured to execute peak estimation processing of estimating peaks included in a peak waveform portion of the original data stored in the original data storage part by repeating a component estimation step of estimating a three-dimensional chromatogram of one peak component included in the peak waveform portion until synthesis data obtained by synthesizing three-dimensional chromatograms of all estimated peak components of which three-dimensional chromatograms are estimated in the component estimation step approximates the original data, and a maximum number storage part (6) that stores a maximum number of the estimated peak components.

Abstract: Disclosed is a hydraulic control apparatus including a flow-path selector valve that switches a supply flow path and a flow-path switching control unit that operates the same, a regeneration valve and a regeneration release valve capable of the regenerative operation, and a regeneration control unit that operates the same. The flow-path switching control unit makes the flow-path selector valve form a flow-path providing communication between first and second pumps in a combined operation state. The regeneration control unit judges the propriety of the regenerative operation on the basis of the second pump pressure which is the discharge pressure of the second pump in a single operation state and judges the propriety of the regenerative operation on the basis of whether or not the driving state of the work actuator is within an allowable range corresponding to the target work operation amount in the combined operation state.

Abstract: A data storage part (2) that stores a plurality of analysis results obtained by a plurality of analyses performed under a plurality of analysis conditions and a plurality of parameters included in the analysis conditions, wherein each analysis result is factor and each analysis condition is response, and the response and the factor are associated with each other, a data processor (4) configured to perform operation using data stored in the data storage part (2), and a display (8) electrically connected to the data processor (4) are included.

Abstract: A data processing method for creating simulation data of a three-dimensional chromatogram for a sample containing a plurality of components.

Abstract: A first analysis step of acquiring a three-dimensional chromatogram of at least one sample by executing, for the sample, first chromatography analysis using a photodiode array under a condition that a plurality of components contained in the sample can be separated from each other, and extracting spectrum data of each of a plurality of the components contained in the sample from the three-dimensional chromatogram of the sample, a second analysis step of executing second chromatography analysis using a photodiode array on another sample whose main component is the same as that of the sample under a condition that a three-dimensional chromatogram can be obtained in a shorter time than the first chromatography analysis to acquire a three-dimensional chromatogram of the another sample, and a peak separation step of acquiring peak separated data for the another sample in which peaks of a plurality of components contained in the another sample are separated from each other are included by applying peak separation p

Abstract: A data processing method for separating peaks of a plurality of components overlapping on a chromatogram from each other using actual data of a three-dimensional chromatogram including a chromatogram and a spectrum acquired by chromatographic analysis on a sample. The data processing method includes an adjustment target peak acquisition step of obtaining a plurality of adjustment target peaks by applying, to the chromatogram, a peak model function prepared in advance to approximate a waveform of the chromatogram, and an adjustment target peak adjustment step of setting a plurality of the adjustment target peaks obtained in the adjustment target peak acquisition step as initial values before adjustment, and repeating adjustment of the adjustment target peaks until pseudo data of a three-dimensional chromatogram on the sample obtained by combining the adjustment target peaks after adjustment is similar to the actual data.

Abstract: A data processing method includes: a data preparing step of preparing actual data of a three-dimensional chromatogram including a chromatogram and a spectrum acquired by chromatography analysis for a sample containing a plurality of components, and spectral data for the plurality of components in the sample whose peaks overlap each other on the chromatogram of the actual data; a similarity calculating step of calculating, for each wavelength region, a similarity between wavelength regions corresponding to each other in the spectral data for the plurality of components prepared in the data preparing step while comprehensively changing the wavelength regions; a target range setting step of setting a target range by searching for a wavelength region having a similarity lower than an overall similarity between the spectral data for the plurality of components based on a calculation result in the similarity calculating step; and a peak separating step of creating chromatogram data for the plurality of components b

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.

Abstract: Disclosed is a hydraulic control apparatus including a flow-path selector valve that switches a supply flow path and a flow-path switching control unit that operates the same, a regeneration valve and a regeneration release valve capable of the regenerative operation, and a regeneration control unit that operates the same. The flow-path switching control unit makes the flow-path selector valve form a flow-path providing communication between first and second pumps in a combined operation state. The regeneration control unit judges the propriety of the regenerative operation on the basis of the second pump pressure which is the discharge pressure of the second pump in a single operation state and judges the propriety of the regenerative operation on the basis of whether or not the driving state of the work actuator is within an allowable range corresponding to the target work operation amount in the combined operation state.

Abstract: A hydraulic drive apparatus includes a flow-path selector valve and a flow-path switching control unit that operates the valve. The flow-path selector valve has a first position for a single operation state and a second position for a combined operation state, configured to, at the first position, form a first flow path connected to a first pump, a second flow path connected to a second pump, and a connecting flow path providing communication between the first flow path and the second flow path. When a driving state of a work actuator is deviated from an allowable range in the combined operation state, the flow-path switching control unit reduces an opening area of the connecting flow path as compared with that when the driving state is within the allowable range.

Abstract: In order to appropriately set MSm analysis conditions, an MSm-1 analysis executer (51) makes a mass spectrometer (20) perform an MSm-1 analysis (where m is an integer from 2 to n) to acquire three-dimensional data showing an intensity for each of the N m/z values and each of the M retention times (where N and M are natural numbers). Based on the three-dimensional data, a data matrix creator (41) creates data matrix X in which intensity data are arranged in N rows which differ from each other in m/z value and M columns which differ from each other in retention-time value. A matrix factorization executer (42) determines an N×K spectrum matrix S and K×M profile matrix P (where K is a natural number) by matrix factorization based on data matrix X so that this matrix X is approximated by product SP of the matrices S and P. An m/z detector (43) detects m/z of a precursor ion originating from a sample component from the values of the matrix elements in each column of matrix S.

Abstract: Provided is a method for determining a first N×K matrix S and second K×M matrix P, using factor number K, so that their product SP approximates to an N×M data matrix X obtained by analyzing a sample containing an unknown number of components. Multiple candidates of regularization parameter ?r and one sparsity-inducing regularization function R(S,P) are prepared. For each regularization-parameter candidate ?r, a candidate Sr of matrix S and candidate Pr of matrix P which minimize a loss function L(S,P)=D(X|SP)+?rR(S,P) are determined, where D(X|SP) is a distance function expressing the degree of difference between X and SP. For each combination of matrix element Xnm in X and corresponding matrix element (SrPr)nm in SrPr, a transformed value ynm=Fnm(Xnm(SrPr)nm) is determined using function Fnm which performs variable transform from probability distribution Pnm corresponding to D(Xnm|(SP)nm) into common probability distribution Pcommon, and goodness of fit between ynm and Pcommon is calculated.

Abstract: Provided is a work machine including: first and second work actuator control valves; a work command adjuster that changes a work command to be input to the second work actuator control valve in accordance with a work adjustment command; and a controller including an adjustment command part that inputs the work adjustment command to the work command adjuster. The adjustment command part performs an asynchronization control in a single work operation state and a synchronization control in a combination operation state including a turning deceleration operation and a work operation. For the synchronization control, the adjustment command part generates the work adjustment command to render a minimum work operation amount to open the first work actuator control valve equal to a minimum work operation amount to close the second work actuator control valve and inputs it to the work command adjuster.

Abstract: Provided is a method for sorting a number of samples into an appropriate number of clusters according to their characteristics. Highly-correlated peaks are extracted from mass spectrum data obtained for the samples (S2). Using the extracted peaks, highly-correlated sample pairs are extracted (S3). While removing samples having low degrees of correlation, highly-correlated sample pairs are integrated to form core clusters (S4). Using singular peaks characterizing each core cluster, two or more core clusters are integrated to form clusters (S5-S7). These clusters include mixed clusters in which two or more clusters are mixed. Member determination formulae are created based on the singular peaks of each cluster (S8-S12). All samples, including those which have been excluded from the cluster determination process, are classified into clusters based on the member determination formulae (S14). The member determination formulae can also be used to assign a new sample to one of the cluster.

Abstract: A series of processes of dividing given labeled teacher data into model construction data and model verification data, constructing a machine learning model using the model construction data, and applying the model to the model verification data to identify (label) a sample is repeated multiple times (S2 to S5). Although the machine learning model to be constructed changes when the model construction data changes, an accurate identification can be made with a high probability. Thus, there is a high possibility that an original label and an identification result do not coincide in a mislabeled sample, resulting in misidentification. If the number of misidentifications is counted for each sample to obtain a misidentification rate, the mislabeled sample is identified based on the misidentification rate since the misidentification rate is relatively high in the mislabeled sample (S6 to S7).

Abstract: The present disclosure provides methods for analyzing data to be analyzed by an analysis program using an analysis parameter.

Abstract: Provided is a method for sorting a number of samples into an appropriate number of clusters according to their characteristics. Highly-correlated peaks are extracted from mass spectrum data obtained for the samples (S2). Using the extracted peaks, highly-correlated sample pairs are extracted (S3). While removing samples having low degrees of correlation, highly-correlated sample pairs are integrated to form core clusters (S4). Using singular peaks characterizing each core cluster, two or more core clusters are integrated to form clusters (S5-S7). These clusters include mixed clusters in which two or more clusters are mixed. Member determination formulae are created based on the singular peaks of each cluster (S8-S12). All samples, including those which have been excluded from the cluster determination process, are classified into clusters based on the member determination formulae (S14). The member determination formulae can also be used to assign a new sample to one of the cluster.

Abstract: Even when only mass spectra wherein the reproducibility of peak intensities is low are obtained in a mass spectrometry apparatus using, for example, a MALDI ion source, the correction of shifts in retention time using TICs for a plurality of specimens is performed with good precision. For each mass spectrum, variable scaling is executed which combines such first scaling as to equalize the extent of variations in signal intensity values in one mass spectrum, among different mass spectra, and second scaling for performing weighting according to relative variations in signal intensity values for each mass spectrum (S3). The signal intensity values after the scaling are added to obtain a total signal intensity value for one measurement time point (S4). From a plurality of total signal intensity values thus obtained, a TIC is created (S6). Using these TICs, RT alignment is executed (S8). Thus, the similarity in TIC waveforms increases, and RT alignment can be suitably performed.