Abstract: A machining path creation device includes an analysis unit configured to create a machining path by analyzing a machining program, a shape determination unit configured to determine ON/OFF of a smoothing processing function at each part of the machining path, based on the shape of each part of the machining path created by the analysis unit, and a smoothing processing unit configured to perform smoothing processing on a part of the machining path in which the smoothing processing function is determined to be ON, and not to perform smoothing processing on a part of the machining path in which the smoothing processing function is determined to be OFF, based on a determination result obtained by the shape determination unit.

Abstract: The present invention provides a SerDes interface circuit and a control device which make it possible to use the same SerDes to perform data transfer of different communication rates. The present invention includes: a FIFO that inputs a first clock of a first frequency, first transmission data based on the first clock, and a second clock of a second frequency which is different from the first frequency, and that outputs the first transmission data on the basis of the second clock in the order of input; a flipflop that fetches and holds the FIFO output on the basis of the second clock; and an output state machine operating with the second clock that inputs the FIFO output and the flipflop output, and generates parallel data in which the same data corresponding to the first transmission data is consecutive.

Abstract: A machine learning device includes a model data selection unit to select, under a change in ambient temperature of a manufacturing machine, a learned model for additional learning of a thermal displacement compensation amount in each axis included in the manufacturing machine with respect to an operation state of the manufacturing machine, and a learned model storage unit to associate and store a pattern of an ambient temperature change curve indicating a transition of a change in the ambient temperature of the manufacturing machine and the learned model that is learned under the change in the ambient temperature. Based on the ambient temperature change curve stored in the learned model storage unit, the model data selection unit selects a learned model suitable for the additional learning of the thermal displacement compensation amount in each axis included in the manufacturing machine with respect to the operation state of the manufacturing machine.

Abstract: A machine learning device includes a model data selection unit to select, under a change in ambient temperature of a manufacturing machine, a learned model for additional learning of a thermal displacement compensation amount in each axis included in the manufacturing machine with respect to an operation state of the manufacturing machine, and a learned model storage unit to associate and store a pattern of an ambient temperature change curve indicating a transition of a change in the ambient temperature of the manufacturing machine and the learned model that is learned under the change in the ambient temperature. Based on the ambient temperature change curve stored in the learned model storage unit, the model data selection unit selects a learned model suitable for the additional learning of the thermal displacement compensation amount in each axis included in the manufacturing machine with respect to the operation state of the manufacturing machine.