Abstract: An image processing method of holding a plurality of texture data for applying a metal representation on an image. The method includes acquiring predetermined information concerning at least one of an observation distance as a distance between a print product on which a target region is printed and an observer observing the print product, a sheet on which the target region is printed, or an environment in which the print product is observed, selecting texture data from the plurality of texture data based on the acquired predetermined information, and applying, to the target region, the texture data selected in the selecting.

Abstract: The present invention provides an aqueous coating composition which is capable of forming a coating film that has excellent cissing resistance and water resistance. An aqueous coating composition which contains (A) at least one hydroxyl group-containing resin that is selected from among (A1) hydroxyl group-containing acrylic resins and (A2) hydroxyl group-containing polyester resins, (B) an oligomer and (C) an alkyl etherified melamine resin, wherein: the oligomer (B) has a number average molecular weight within the range of from 200 to 800 and a solubility parameter within the range of from 10.0 to 13.5; and the molar ratio of methyl groups to butyl groups in the alkyl etherified melamine resin (C), namely (methyl group)/(butyl group) molar ratio is from 50/50 to 0/100.

Abstract: A plurality of learning models generated by performing machine learning on physical quantities observed during respective operations of a plurality of machines are stored in advance. Then, using the stored learning models and a physical quantity observed during an operation of a machine which is an object to be diagnosed, characteristic differences between the machine which is the object to be diagnosed and the plurality of respective machines are calculated, a learning model used in a diagnosis of the operation of the machine which is the object to be diagnosed is selected based on the calculated characteristic differences, and the operation of the machine which is an object to be diagnosed using the selected learning model is diagnosed.

Abstract: A plurality of learning models generated by performing machine learning on physical quantities observed during respective operations of a plurality of machines are stored in advance. Then, using the stored learning models and a physical quantity observed during an operation of a machine which is an object to be diagnosed, characteristic differences between the machine which is the object to be diagnosed and the plurality of respective machines are calculated, a learning model used in a diagnosis of the operation of the machine which is the object to be diagnosed is selected based on the calculated characteristic differences, and the operation of the machine which is an object to be diagnosed using the selected learning model is diagnosed.

Abstract: An abnormality factor identification apparatus includes a sensor signal obtaining unit that obtains sensor signals associated with the physical state of a machine, an operating state determination unit that determines operating states of the machine based on information obtained from the machine, an abnormality level calculation unit that calculates the abnormality levels of the sensor signals for each operating state of the machine determined by the operating state determination unit, and a factor identification unit that determines a factor in an abnormality in the machine from historical data being a series of the abnormality levels for each operating state.

Abstract: Quality judgment on a laser beam intensity distribution is performed by taking an observation condition of the laser beam into consideration. A machine learning device includes: a state observing means that acquires data indicating an intensity distribution of a laser beam and data indicating a condition for observing the laser beam, performed to generate the data indicating the intensity distribution as input data; a label acquisition means that acquires an evaluation value related to judgment of the quality of the laser beam as a label; and a learning means that performs supervised learning using a pair of the input data acquired by the state observing means and the label acquired by the label acquisition means as training data to construct a learning model for judging the quality of the laser beam.

Abstract: Quality judgment on a laser beam intensity distribution is performed by taking an observation condition of the laser beam into consideration. A machine learning device includes: a state observing means that acquires data indicating an intensity distribution of a laser beam and data indicating a condition for observing the laser beam, performed to generate the data indicating the intensity distribution as input data; a label acquisition means that acquires an evaluation value related to judgment of the quality of the laser beam as a label; and a learning means that performs supervised learning using a pair of the input data acquired by the state observing means and the label acquired by the label acquisition means as training data to construct a learning model for judging the quality of the laser beam.

Abstract: An abnormality factor identification apparatus includes a sensor signal obtaining unit that obtains sensor signals associated with the physical state of a machine, an operating state determination unit that determines operating states of the machine based on information obtained from the machine, an abnormality level calculation unit that calculates the abnormality levels of the sensor signals for each operating state of the machine determined by the operating state determination unit, and a factor identification unit that determines a factor in an abnormality in the machine from historical data being a series of the abnormality levels for each operating state.

Abstract: Quality judgment on a laser beam intensity distribution is performed by taking an observation condition of the laser beam into consideration. A machine learning device includes: a state observing means that acquires data indicating an intensity distribution of a laser beam and data indicating a condition for observing the laser beam, performed to generate the data indicating the intensity distribution as input data; a label acquisition means that acquires an evaluation value related to judgment of the quality of the laser beam as a label; and a learning means that performs supervised learning using a pair of the input data acquired by the state observing means and the label acquired by the label acquisition means as training data to construct a learning model for judging the quality of the laser beam.

Abstract: The quality of optical components is judged by taking the use of the optical components into consideration. A machine learning device includes: a state observing means that acquires image data obtained by imaging an optical component and data related to the use of the optical component as input data; a label acquisition means that acquires an evaluation value related to judgment of the quality of the optical component as a label; and a learning means that performs supervised learning using a pair of the input data acquired by the state observing means and the label acquired by the label acquisition means as training data to construct a learning model for judging the quality of the optical component.

Abstract: Disclosed is a gas laser apparatus having: a first estimation unit which calculates an estimate of input power to the laser power supply device by using the output current value and output voltage value of the DC power supply unit and also using the efficiency of conversion from input power to output power by the DC power supply unit; a second estimation unit which calculates an estimate of input power to the driving device by using the output current value of the driving device; and a power calculation unit which calculates the power consumption value of the gas laser apparatus, based on the estimate of the input power to the laser power supply device and the estimate of the input power to the driving device.

Abstract: Disclosed is a gas laser apparatus having: a first estimation unit which calculates an estimate of input power to the laser power supply device by using the output current value and output voltage value of the DC power supply unit and also using the efficiency of conversion from input power to output power by the DC power supply unit; a second estimation unit which calculates an estimate of input power to the driving device by using the output current value of the driving device; and a power calculation unit which calculates the power consumption value of the gas laser apparatus, based on the estimate of the input power to the laser power supply device and the estimate of the input power to the driving device.

Abstract: In a motor-driven power steering apparatus, there is provided a correction coefficient memory previously storing an output correction coefficient to be multiplied by a current control signal applied to an electric motor at certain points in a range of temperatures in such a manner as to correct a temperature dependent output torque changing in dependence upon an environmental temperature of the electric motor to a demand output torque required in the electric motor.

Abstract: A gas laser oscillator includes a supply-side valve for regulating a laser gas supply to a gas chamber, an exhaust-side valve for regulating a laser gas exhaust from the gas chamber, a gas pressure measuring device for measuring a pressure in the gas chamber, and a control device functioning as a laser gas replacement measuring device. The control device makes a first measurement and a second measurement of the pressure in the gas chamber by a gas pressure measuring device at a predetermined time interval during the vacuuming or purging of the gas chamber, and determines the laser gas replacement amount per unit time during the laser oscillating operation, based on the results of the first and second measurements.

Abstract: In a motor-driven power steering apparatus, there is provided a correction coefficient memory previously storing an output correction coefficient to be multiplied by a current control signal applied to an electric motor at certain points in a range of temperatures in such a manner as to correct a temperature dependent output torque changing in dependence upon an environmental temperature of the electric motor to a demand output torque required in the electric motor.

Abstract: In a motor-driven power steering apparatus, the main coil winding and auxiliary coil winding are wound around the same slot of a stator core in a parallel manner, a motor drive means has a main driver feeding at least to the main coil windings, and an auxiliary driver feeding only to the auxiliary coil windings, the main driver being actuated so as to be capable of assisting the steering during normal conditions of a control system of an electric motor, and the auxiliary driver is actuated so as to execute an auxiliary assist corresponding to a motor friction torque under abnormal conditions of the control system of the electric motor.

Abstract: A gas laser oscillator includes a supply-side valve for regulating a laser gas supply to a gas chamber, an exhaust-side valve for regulating a laser gas exhaust from the gas chamber, a gas pressure measuring device for measuring a pressure in the gas chamber, and a control device functioning as a laser gas replacement measuring device. The control device makes a first measurement and a second measurement of the pressure in the gas chamber by a gas pressure measuring device at a predetermined time interval during the vacuuming or purging of the gas chamber, and determines the laser gas replacement amount per unit time during the laser oscillating operation, based on the results of the first and second measurements.

Abstract: In a motor-driven power steering apparatus, a plurality of rotational position detecting sensors are provided in an electric motor, and during an abnormality in any one rotational sensor, the electric motor can be driven by using a detected result of any other one rotational position detecting sensor.

Abstract: A laser processing machine, for processing a work by irradiating a laser beam, is provided which includes: a processing head (16) in which a nozzle hole (41) for passing the laser beam passes is formed; a focusing optical system (13), which is held in the processing head, for focusing the laser beam; and a nozzle hole closing means (30) for closing the nozzle hole at the time of not using the laser processing machine. Due to the foregoing, it is possible to prevent optical components of the focusing optical system from being deteriorated by dust and moisture floating in the air, that is, it is possible to prevent the focusing characteristic from being deteriorated, and the processing performance of the laser processing machine can be excellently maintained high. The nozzle hole closing means may be rotated by a drive means so that the nozzle hole can be closed. The nozzle hole closing means may be arranged at a predetermined position of the laser processing machine (11).

Abstract: In a motor-driven power steering apparatus, the main coil winding and auxiliary coil winding are wound around the same slot of a stator core in a parallel manner, a motor drive means has a main driver feeding at least to the main coil windings, and an auxiliary driver feeding only to the auxiliary coil windings, the main driver being actuated so as to be capable of assisting the steering during normal conditions of a control system of an electric motor, and the auxiliary driver is actuated so as to execute an auxiliary assist corresponding to a motor friction torque under abnormal conditions of the control system of the electric motor.