Abstract: A notification determinator determines whether or not an inspection result of a winding body indicates defective on the basis of whether or not continuous positions of a first end surface and a second end surface indicated by first group data and second group data are separated from reference positions by a predetermined distance or more. In a case where the inspection result of the winding body indicates defective, a notification determinator performs a notification that inspection in an inspection machine is not performed normally, and outputs information indicating that a cause of the defect is a take-out chuck of an inspection machine or any of a plurality of winding cores to a display for maintenance.

Abstract: Various embodiments of the present technology generally relate to power topology discovery in industrial environments. More specifically, some embodiments relate to automatic power topology discovery for factories based on device data that is already recorded for other purposes. Systems and methods described herein may be used to generate an accurate electrical network topology by collecting power data from power devices that may provide real-time or recorded measurements, detecting power change events, and matching power change signatures over power events for the devices in order to calculate the likelihoods of possible topology assumptions. Power change event data is used to recursively update topology probabilities using the Bayesian formula until a system topology can be produced with satisfactory confidence.

Abstract: In some implementations, a remote monitoring system may receive historical usage data associated with a plurality of engines that are associated with a plurality of respective machines. The remote monitoring system may train an engine monitoring model to identify a usage profile that indicates potential failure by identifying an operational range of an operating parameter according to an operating profile. The remote monitoring system may receive, from a machine, usage data that includes a measurement of the operating parameter for an engine of the machine, and determine that the engine is configured to operate according to the operating profile. The remote monitoring system may predict, based on determining that the engine is configured to operate according to the operating profile and based on the measurement and the operational range, that the engine is likely to fail within a certain time period.

Abstract: An image forming apparatus includes a main body housing, a first cartridge to store first developer, a second cartridge to store second developer, a first temperature sensor to detect an inside temperature as a temperature inside the main body housing, and a controller configured to calculate a first control temperature corresponding to the first cartridge, using the detected inside temperature and a first coefficient to be multiplied by the inside temperature, calculate a second control temperature corresponding to the second cartridge, using the detected inside temperature and a second coefficient to be multiplied by the inside temperature, the second coefficient being different from the first coefficient, and perform cooling control to cool an inside of the main body housing when at least one selected from the first control temperature and the second control temperature is higher than a particular threshold.

Abstract: In a markerless foot size estimation device 100, a shape data input unit 10 acquires three-dimensional shape data of a foot of a subject and stores the three-dimensional shape data in a shape data storage unit 20. A characteristic extraction unit 30 extracts foot shape characteristics from the three-dimensional shape data of a subject's foot stored in the shape data storage unit 20, and stores the foot shape characteristics in a shape characteristic storage unit 40. A machine learning unit 50 uses, as teacher data, foot shape characteristics and arch height stored in the shape characteristic storage unit 40 to create, through machine learning, an estimation model used to estimate arch height based on foot shape characteristics, and stores the estimation model in an estimation model storage unit 60. An estimation output unit 70 uses the estimation model stored in the estimation model storage unit 60 to estimate arch height based on extracted shape characteristics and outputs the arch height.

Abstract: An image forming apparatus includes a first container to accommodate liquid developer for replenishment to a developing container, and a second container to accommodate carrier fluid containing a charge control agent for replenishment to the first container. The concentration of the charge control agent in the carrier fluid accommodated in the second container is between equal to or more than 10 wt % and equal to or less than 20 wt %. A driving unit is driven so as to replenish the charge control agent accommodated in the second container to the first container, and a control unit controls the driving unit based on image coverage of an output image so that a concentration of the charge control agent in the liquid developer accommodated in the first container becomes a predetermined value.

Abstract: A system includes a first type of sensor and an estimation system that is connected to first type of sensor. The estimation system is configured to (a) identify a best peak shape for estimation of known gas mixtures by analyzing characterization data across known gas mixtures, with added noise, using machine learning, (b) generate a plurality of actual peak shapes, in first type of sensor, for several different instances using standard gas mixtures to provide an actual peak shape among the plurality of peak shapes as calibrating input to calibrate first type of sensor and (c) calibrate first type of sensor by automatically adjusting parameters of first type of sensor for optimizing actual peak shape to match with desired peak shape.

Abstract: An image forming apparatus includes an image carrier, a developing device, a control unit, and a density measuring unit. An electrostatic latent image is formed on the surface of an image carrier. A developing device supplies toner to the image carrier and develops the electrostatic latent image formed on the image carrier to form a toner image. The density measuring unit measures the toner density of the plurality of first patch toner images formed by the developing device. The control unit calculates a relationship between the toner density of the plurality of first patch toner images measured by the density measuring unit and the applied voltage applied to the developing device when the plurality of first patch toner images are formed, and adjusts the applied voltage based on a calculation result.

Abstract: A developing device includes a developing roller, a developing case, and a support. The developing roller includes a sleeve and a magnetic field generator. The sleeve is rotatable and includes a hollow shaft at an axial end of the sleeve. The magnetic field generator is irrotationally disposed inside the sleeve and includes a non-rotating shaft at an axial end of the magnetic field generator. The non-rotating shaft penetrates through the hollow shaft and projects outward. The developing case is configured to store developer and rotatably supports the hollow shaft. The support includes a fitting portion into which the non-rotating shaft of the magnetic field generator is irrotationally fitted. The support is supported on the developing case using the fitting portion as a main-positioning portion.

Abstract: A method of using a sequencing cell includes applying voltage across the sequencing cell, acquiring one or more signal values from the sequencing cell, and acquiring one or more correlated signal values that are correlated with respective values of the plurality of acquired signal values thereby forming a plurality of two-dimensional data points. The plurality of two-dimensional data points comprise values in a first dimension that equal the plurality of acquired signal value and values in a second dimension that equal the plurality of correlated signal values. The method can further include computing a plurality of transformed signal values by applying a two-dimensional transformation to the plurality of two-dimensional data points.

Abstract: Systems, methods, and computer-readable media are disclosed for enhanced electrical signature analysis (ESA) for fault detection in electrical machines. The enhanced ESA uses an algorithm that is able to adaptively learn the behavior of a particular electrical machine and automatically establish fault thresholds for the electrical machine without requiring manual inputs from an operator. The particular algorithm described herein to accomplish this may use machine learning that may be used to model the behavior of the electrical machine in real-time and based on any properties specific to the electrical machine.

Abstract: An image forming apparatus which includes a motor, a first power supply unit that supplies a first voltage to the motor, and a second power supply unit that supplies a second voltage, which is higher than the first voltage, to the motor, and a central processing unit (CPU) that controls supply of the second voltage from the second power supply unit to the motor while maintaining supply of the first voltage from the first power supply unit to the motor.

Abstract: An image forming apparatus, temperature control method, and temperature control device are provided. The apparatus includes the device, which acquires a first temperature difference between a temperature estimation value of a fixer, which is obtained by simulating a member temperature of a temperature control target serving as a heat capacitor-resistor circuit at an initial stage of operation of the fixer, and a detected temperature detected by a temperature sensor, and acquires a second temperature difference between a temperature estimation value of the fixer, which is obtained during an operation after the first temperature difference is acquired, and a detected temperature.

Abstract: A battery diagnosis apparatus includes an SOC calculator, a ?SOC obtaining unit, a largest block identification unit, and a diagnosis unit. The SOC calculator calculates an SOC for each parallel cell block included in a battery assembly based on an output from a battery sensor that detects a state of the battery assembly. When charging or discharging of the battery assembly is carried out, the ?SOC obtaining unit obtains ?SOC for each parallel cell block. The largest block identification unit identifies a largest block in a diagnosis target. When a degree of deviation between ?SOC of the largest block and a ?SOC reference value exceeds a prescribed level, the diagnosis unit determines that abnormality has occurred in the largest block in the diagnosis target.

Abstract: An information processing method includes executing a first process of performing a non-linear analysis by iterating a linear analysis, and executing a second process of predicting a residual threshold to be used for determination of convergence of the linear analysis by a prediction model, based on a residual transition and calculation time for each iteration of the linear analysis obtained for each residual threshold using a plurality of experimental values by the first process. The information processing method further includes performing passage of data between the first process and the second process through an inter-process communication using a shared memory set in a memory.

Abstract: A device and a method for operating a test stand. A set of measurements of input variables of a system model of a component of a machine is provided. An optimization problem is defined using a set of measurements of input variables. A gradient for solving the optimization problem is determined as a function of the set of measurements. A solution to the optimization problem, which defines a design for input data for the test stand for a measurement on the component, is determined as a function of the gradient. A measurement of output data is acquired on the component on the test stand as a function of the input data. Pairs of training input data and training output data are determined as a function of the input data and the measurement of output data. The system model for the component is trained as a function of the pairs.

Abstract: The present disclosure relates to a battery management device for balancing state of charges (SOCs) of a plurality of battery cells while maintaining a substrate temperature of a substrate to which a balancing resistor of each of a plurality of battery cells is mounted to a reference temperature or below. Since the substrate temperature is maintained at the reference temperature or below by controlling the duty cycle of a balancing switch, it is possible to prevent components included in the battery management device from being overheated and damaged due to the heat generated during the balancing process.

Abstract: Systems and methods are provided for dynamically tracking the cleanliness of a vehicle's exterior. In particular, a dynamic strategy for cleaning vehicles is provided. In a system including a fleet of vehicles, the vehicles are regularly cleaned to remove dirt, dust, and any other matter that has stuck to the vehicle.

Abstract: A short-circuit prediction device for predicting the presence or absence of occurrence of an internal short circuit in a secondary battery is provided. The secondary battery has a positive electrode, a solid electrolyte, and a negative electrode that contains a lithium alloy. The short-circuit prediction device includes a measurement instrument that measures AC impedance of the secondary battery and a controller that predicts the internal short circuit in the secondary battery. The measurement instrument calculates electrolyte resistance of the secondary battery and reaction resistance of the secondary battery from the AC impedance. When a change rate of the electrolyte resistance per a predetermined period is within a predetermined range and the reaction resistance becomes higher than a predetermined upper limit, the controller predicts that there is a possibility of occurrence of the internal short circuit.

Abstract: A developing apparatus includes: a developer tank that contains a developer; and conveyance members that convey the developer while agitating the developer. The conveyance members include a first screw and a second screw. The developer tank includes: a first storage chamber in which the first screw is provided; a second storage chamber in which the second screw is provided; a partition that separates the first storage chamber from the second storage chamber; and a flow area that opens the partition to flow the developer between the first storage chamber and the second storage chamber; a developer detection sensor that detects an amount of the developer thereof; a discharge port that discharges the developer; and a discharge guide that guides the developer to the discharge port. The developer detection sensor detects that the developer tank is full according to the amount of the developer.