A warm-up method for a machine system including a machine component and a machine sensor configured to sense temperature of the machine component is provided. The method comprises steps of; A) activating the machine component to execute a warm-up operation for warming up the machine component; B) determining whether the machine component is warmed up based on a target temperature corresponding to the machine component and a temperature of the machine component that is currently sensed by the machine sensor; and C) when it is determined that the machine component is warmed up, making the machine component not execute the warm-up operation.

An information processing device includes a parameter selection method determination unit that selects a hyperparameter of a thermal displacement amount prediction formula as a first hyperparameter, a parameter selection unit that sets/changes the value of the first hyperparameter and fixes remaining hyperparameter values as second hyperparameter values, a machine learning unit that generates a thermal displacement amount prediction formula for each value of the first hyperparameter based on thermal displacement teacher data, and a model evaluation unit that stores the first hyperparameter values together with evaluation values which are the difference between the thermal displacement amounts estimated by each thermal displacement amount prediction formula and measured thermal displacement amounts. The parameter selection method determination unit uses a history of the values of the first hyperparameter and the evaluation values to set the value of the first hyperparameter when the evaluation value is smallest as an optimal value.

In one aspect, a computing device-implemented method includes receiving at least one triggering event signal from one or more components of a heat recovery system. The method also includes determining, based in part on the at least one triggering event signal, a computation workload assignment to be executed on one or more computation devices. The method further includes sending one or more command signals to the one or more computation devices. The one or more command signals include a portion of the computation workload assignment for execution by the one or more computation devices. The method also includes initiating capture of heat energy to be stored in one or more heat reservoirs, the heat energy being generated by the one or more computation device based upon the computation workload assignment.

Provided is a thermal displacement correction device capable of continuing a thermal displacement correction with high accuracy even when some of a plurality of sensors fail. The thermal displacement correction device includes a sensor information acquisition unit that acquires machine tool temperatures detected by the sensor and a state of the sensors, a thermal displacement estimating method storage unit that stores a plurality of thermal displacement estimating methods, a thermal displacement estimating method selection unit that selects a thermal displacement estimating method to be used for estimating the thermal displacement amount of the machine tool based on the state of the sensors, and a thermal displacement estimating unit that estimates the thermal displacement amount of the machine tool based on the machine tool temperature according to the thermal displacement estimating method selected by the thermal displacement estimating method selection unit.

The present invention relates to methods and devices for compensating for a thermally induced change in position on a numerically controlled machine tool, wherein: a characteristic map describing the thermoelastic behaviour of the machine tool is provided to a control system of the machine tool; one or more temperature values are determined by means of one or more temperature sensors on the machine tool; one or more compensation parameters are determined on the control system of the machine tool on the basis of the one or more temperature values determined and of the characteristic map provided; and wherein a temperature-dependent change in position on the machine tool is performed according to the one or more compensation values determined. According to the invention, the characteristic map provided is adjusted or updated by means of a neural network running on a computer.

In one aspect, a computing device-implemented method includes receiving at least one triggering event signal from one or more components of a heat recovery system. The method also includes determining, based in part on the at least one triggering event signal, a computation workload assignment to be executed on one or more computation devices. The method further includes sending one or more command signals to the one or more computation devices. The one or more command signals include a portion of the computation workload assignment for execution by the one or more computation devices. The method also includes initiating capture of heat energy to be stored in one or more heat reservoirs, the heat energy being generated by the one or more computation device based upon the computation workload assignment.

Various example embodiments relate to a non-nicotine electronic vaping device, system, method, and/or non-transitory computer readable medium for protecting a non-nicotine electronic vaping device from overheating based on a steady state resistance prediction. The non-nicotine electronic vaping device may include a reservoir containing a non-nicotine pre-vapor formulation, the non-nicotine pre-vapor formulation being devoid of nicotine and including at least one non-nicotine compound, a heating element configured to heat non-nicotine pre-vapor formulation drawn from the reservoir, and control circuitry configured to monitor a resistance value of the heating element over a first time period after a first application of negative pressure to the non-nicotine electronic vaping device, determine an estimated steady state resistance value of the heating element based on the monitored resistance value using a trained neural network, and control power to the heating element based on the estimated steady state resistance value.

A warm-up method for a machine system including a machine component and a machine sensor configured to sense temperature of the machine component is provided. The method comprises steps of; A) activating the machine component to execute a warm-up operation for warming up the machine component; B) determining whether the machine component is warmed up based on a target temperature corresponding to the machine component and a temperature of the machine component that is currently sensed by the machine sensor; and C) when it is determined that the machine component is warmed up, making the machine component not execute the warm-up operation.

A machine tool including a first cooling unit, such as a fan, that cools at least one of a drive part that drives a component of the machine tool and an amplifier of the drive part, a second cooling unit, such as a Peltier element, that cools the at least one of the drive part and the amplifier, and a cooling control unit that controls the first cooling unit and the second cooling unit, wherein vibration caused by the second cooling unit is less than vibration caused by the first cooling unit, and the cooling control unit switches cooling of the at least one of the drive part and the amplifier, from cooling by the first cooling unit to cooling by the second cooling unit.

An electronic device and a work-frequency reducing method thereof are disclosed. The electronic device at least includes a case, a gravity sensor, a pressure sensor and a processing unit. The gravity sensor detects the gravity status of the electronic device and outputs a plurality of gravity detecting signals. The pressure sensor detects the pressure status of the bottom portion of the case and outputs a plurality of pressure detecting signals. The work-frequency reducing method includes the following steps: receiving the gravity detecting signals and judging whether the variation value of the gravity detecting signals is greater than a default gravity value or not; if yes, decreasing the working frequency of the processing unit; receiving the pressure detecting signals and judging whether the pressure detecting signals are greater than a default pressure value or not; and if no, restoring the working frequency of the processing unit.