Abstract: According to one embodiment, an anomaly sign detection system comprising one or more computers configured to: calculate a correction value for correcting at least one actual process value from the at least one actual process value and at least one reference process value; determine whether each of plurality of actual process values is correlated with the at least one reference process value or not, based on correction-necessity coefficient of determination; use the correction value for correcting at least one actual process value determined to be correlated with the at least one reference process value among the plurality of actual process values; generate learning input data including at least one corrected process value as the at least one actual process value corrected by the correction value; and perform machine learning by inputting the learning input data to anomaly sign detection model.

Abstract: According to one embodiment, an anomaly detection apparatus includes a processing circuit. The processing circuit is configured to: acquire measured values from sensors installed in a system, a first function, a first threshold, and a second function to output a second threshold; generate the predicted values based on the measured value and the first function; detect that a deviation between the measured values and the predicted values exceeds the first threshold; calculate the feature quantities based on the measured values; and determine whether a number of consecutive times is equal to or larger than the second threshold to detect an anomaly or a sign of the anomaly.

Abstract: According to one embodiment, a monitoring apparatus includes a processing circuit. The processing circuit is configured to generate second data including a prediction value of a second sensor correlated with a first sensor from first data including a measurement value of the first sensor of which a measurement value changes suddenly in a case where the control signal changes, detect an anomaly of the system or an anomaly of at least one sensor, and make it difficult to detect the anomaly in a case where the determination signal indicates that there is a change in the control signal.

Abstract: According to one embodiment, an abnormality sign detection system comprising one or more computers configured to perform machine learning of an abnormality-sign detection-model that detects at least one of an abnormality in a target facility to be monitored and a sign of the abnormality, wherein the one or more computers are configured to: acquire a plurality of process amounts generated at the target facility; classify each of the plurality of process amounts into either correlation data for which correlation between the plurality of process amounts is learned or decorrelation data for which correlation between the plurality of process amounts is not learned; generate learning input data depending on classification, the learning input data being data in which each of the plurality of process amounts is associated with the correlation data or the decorrelation data; and perform the machine learning by inputting the learning input data to the abnormality-sign detection-model.

Abstract: According to an embodiment, a monitoring apparatus configured to generate time-series predicted data based on time-series measured data and a prediction model that generates predicted data including one or more predicted values predicted to be output from one or more sensors; and generate, for a first sensor among the one or more sensors, a displayed image including a measured value graph representing a temporal change in a measured value included in the time-series measured data in a second period after a first period, a predicted value graph representing a temporal change in a predicted value included in time-series predicted data in the second period, past distribution information representing a distribution of a measured value in the first period, and measurement distribution information representing a distribution of the measured value included in the time-series measured data in the second period.

Abstract: According to one embodiment, a data processing apparatus includes a processor. The processor calculates, from the first measurement data, a first differential value set that is a set of first differential values in a time direction at a time included in the first period of the measurement values of the sensor of interest. The processor calculates, from the second measurement data, a second differential value set that is a set of second differential values in a time direction at a time included in the second period of the measurement values of the sensor of interest. The processor generates a first differential value distribution and a second differential value distribution using the second differential value set.

Abstract: According to one embodiment, a monitoring apparatus includes a processing circuit. The processing circuit is configured to generate second data including a prediction value of a second sensor correlated with a first sensor from first data including a measurement value of the first sensor of which a measurement value changes suddenly in a case where the control signal changes, detect an anomaly of the system or an anomaly of at least one sensor, and make it difficult to detect the anomaly in a case where the determination signal indicates that there is a change in the control signal.

Abstract: According to one embodiment, a processing circuit classifies a time-series data corresponding to process amounts generated in a target facility into groups. For each of groups, the processing circuit applies time-series data included in the group to a first auto-encoder, which differs depending upon each group, and outputs time-series data. The processing circuit applies input difference data, which are based on output time-series data on the process amounts and the input time-series data, to a single second auto-encoder, and outputs difference data. The processing circuit determines an abnormality of the target facility, based on the comparison between addition data which are based on the output difference data and the output time-series data, and the input time-series data.

Abstract: According to an embodiment, a monitoring apparatus configured to generate time-series predicted data based on time-series measured data and a prediction model that generates predicted data including one or more predicted values predicted to be output from one or more sensors; and generate, for a first sensor among the one or more sensors, a displayed image including a measured value graph representing a temporal change in a measured value included in the time-series measured data in a second period after a first period, a predicted value graph representing a temporal change in a predicted value included in time-series predicted data in the second period, past distribution information representing a distribution of a measured value in the first period, and measurement distribution information representing a distribution of the measured value included in the time-series measured data in the second period.

Abstract: A valve control system for a steam turbine that decrease in effective power as well as secure control stability in the event of an electric power system accident is provided. A valve control system for a steam turbine includes an accident detection unit 44 which detects an occurrence of an electric power system accident, a first selection unit 45 which selects, from a plurality of control valves 13 (13a˜13d) which adjust a volume of steam flowing into a steam turbine, control valves 13 to be rapidly closed according to a scale of the accident detected, and a normal control circuit 11 which continues normal pressure or speed control by the control valves 13 which are not selected.

Abstract: A valve control system for a steam turbine that decrease in effective power as well as secure control stability in the event of an electric power system accident is provided. A valve control system for a steam turbine includes an accident detection unit 44 which detects an occurrence of an electric power system accident, a first selection unit 45 which selects, from a plurality of control valves 13 (13a˜13d) which adjust a volume of steam flowing into a steam turbine, control valves 13 to be rapidly closed according to a scale of the accident detected, and a normal control circuit 11 which continues normal pressure or speed control by the control valves 13 which are not selected.

Abstract: 2-Hydroxyisoflavanone dehydratase substantially having the amino acid sequence represented by SEQ ID NO: 1 is isolated from licorice. Further, a polynucleotide encoding 2-hydroxyisoflavanone dehydratase of the SEQ ID NO: 2 is obtained. Furthermore, the amino acid sequence of 2-hydroxyisoflavanone dehydratase is identified from soybean and a polynucleotide encoding 2-hydroxyisoflavanone dehydratase is obtained.

Abstract: 2-Hydroxyisoflavanone synthase substantially having the amino acid sequence represented by SEQ ID NO:2 and a polynucleotide substantially having the nucleotide sequence of SEQ ID NO:1. Thus, 2-hydroxyisoflavanone synthase can be expressed in a host cell. By transferring the polynucleotide encoding 2-hydroxyisoflavanone synthase into a plant cell, a plant having an altered isoflavone productivity can be obtained.

Abstract: In a Y bar for forming coupling elements, an opening angle of a pair of right and left leg parts is narrower than that of the ordinary ones. Plural bent portions, which are bent inward, are formed successively in an extending direction of the leg parts in a range from a crotch part toward pawl parts at front ends of the leg parts. The gap between the pawl parts are narrowed gradually from proximal ends to front ends thereof. Bulging portions are provided on outer side surfaces of the crotch part. Thus, the stabilization of the posture of a metallic coupling element, which is obtained by cutting the Y bar, at the time of mounting, strength of the coupling element and stabilization of the mounting posture of the coupling element to the fastener tape can be improved.

Abstract: A fastener element 3 is attached to a first edge part 12 of a fastener tape 2 and the fastener tape 2 is sewn in the vicinity of the installation part 5 of the fastener element 3 with a sewing thread 6 continuously extending in the longitudinal direction of the fastener tape 2. The fastener tape 2 is easily subjected to plating to form a shield coating 7 or to coating of a fire-resistant additive and thus the fastener tape 2 can obtain electromagnetic wave shield performance and further fire-resistant performance.

Abstract: In a Y bar for forming coupling elements, an opening angle of a pair of right and left leg parts is narrower than that of the ordinary ones. Plural bent portions, which are bent inward, are formed successively in an extending direction of the leg parts in a range from a crotch part toward pawl parts at front ends of the leg parts. The gap between the pawl parts are narrowed gradually from proximal ends to front ends thereof. Bulging portions are provided on outer side surfaces of the crotch part. Thus, the stabilization of the posture of a metallic coupling element, which is obtained by cutting the Y bar, at the time of mounting, strength of the coupling element and stabilization of the mounting posture of the coupling element to the fastener tape can be improved.

Abstract: In a Y bar for forming coupling elements, an opening angle of a pair of right and left leg parts is narrower than that of the ordinary ones. Plural bent portions, which are bent inward, are formed successively in an extending direction of the leg parts in a range from a crotch part toward pawl parts at front ends of the leg parts. The gap between the pawl parts are narrowed gradually from proximal ends to front ends thereof. Bulging portions are provided on outer side surfaces of the crotch part. Thus, the stabilization of the posture of a metallic coupling element, which is obtained by cutting the Y bar, at the time of mounting, strength of the coupling element and stabilization of the mounting posture of the coupling element to the fastener tape can be improved.

Abstract: Digitizer pointer position data corresponds to the absolute coordinates of a digitizer tablet having coordinate axes, and so when a user wishes to use a digitizer pointer like a mouse, different procedures are imposed on the user, sometimes requiring unnatural hand movements. A psuedomouse coordinate input method consists of providing a digitizer or coordinate input system having a coordinates indicator (e.g., a puck) for manipulation by a user, a tablet which detects the position of the coordinates indicator, and a host computer connected to the tablet to receive the output of the tablet. When the user grasps and moves the coordinates indicator, a coordinate information detecting step occurs which causes the coordinates indicator's position to be detected by the tablet, and the tablet then generates coordinate information data including coordinate values of the coordinates indicator on the tablet before and after its movement or displacement.

Abstract: In a Y bar for forming coupling elements, an opening angle of a pair of right and left leg parts is narrower than that of the ordinary ones. Plural bent portions, which are bent inward, are formed successively in an extending direction of the leg parts in a range from a crotch part toward pawl parts at front ends of the leg parts. The gap between the pawl parts are narrowed gradually from proximal ends to front ends thereof. Bulging portions are provided on outer side surfaces of the crotch part. Thus, the stabilization of the posture of a metallic coupling element, which is obtained by cutting the Y bar, at the time of mounting, strength of the coupling element and stabilization of the mounting posture of the coupling element to the fastener tape can be improved.

Abstract: A coordinate input method consists of a coordinate input system having a coordinate indicator time, a tablet which detects the position indicated by the coordinate indicator, and a host computer which obtains the coordinate data output by the tablet. A coordinate information detecting step occurs which, upon retention and displacement of the coordinate indicator on the tablet, causes coordinate information data to be detected by the tablet, with the coordinate information data including coordinate values of the coordinate indicator on the tablet before and after its displacement. During a data transmission step, the coordinate indicator information data which has been detected is transmitted to the host computer by the tablet. During an indicator coordinate access standard data acquisition step, the coordinate indicator information is received by the host computer and utilized as data while each of the coordinate axes of the coordinate indicator is designated as a standard.