Processing data during polygon processing is stored in the processing data storage unit 17. The position detection unit 18 detects a cut-start position A and a cut-end position B of a workpiece based on a change in the processing data. The position detection unit 18 detects a processing surface based on the cut-start position A and the cut-end position B.

Examples disclosed herein relate to initializing a fan speed of a computing device using a high-water value when a pre-runtime event occurs. A management controller (MC) receives sensor data from sensors of the computing device. A fan speed of a fan is controlled using a fan control value based on the sensor data. The fan control value is monitored to determine a high-water value of the fan control value. The high-water value is stored in a location that is accessible by a pre-runtime fan control engine of the computing device. In response to a pre-runtime event, the fan speed is initialized to a speed using the high-water value.

An abnormality determination apparatus, which determines abnormality of a temperature sensor in a machine tool, includes: a temperature pattern storage unit which stores a normal pattern indicating temperature change relative to machining time for a machining classification of the machine tool; a temperature data acquisition unit which acquires temperature data outputted by the temperature sensor provided to the machine tool; a machining classification determination unit which determines a machining classification of the machine tool; a comparison data acquisition unit which extracts the normal pattern relative to a determined machining classification from the temperature pattern storage unit; a comparison unit which compares the extracted normal pattern, and as acquired pattern indicating temperature change relative to machining time according to the acquired temperature data; and an abnormality determination unit which determines abnormality of a temperature sensor based on a comparison result.

Examples disclosed herein relate to initializing a fan speed of a computing device using a high-water value when a pre-runtime event occurs. A management controller (MC) receives sensor data from sensors of the computing device. A fan speed of a fan is controlled using a fan control value based on the sensor data. The fan control value is monitored to determine a high-water value of the fan control value. The high-water value is stored in a location that is accessible by a pre-runtime fan control engine of the computing device. In response to a pre-runtime event, the fan speed is initialized to a speed using the high-water value.

A photovoltaic module remote-access module switch and real-time temperature monitoring system is provided. In one embodiment, a remote-access module switch and monitoring circuit capable of communicating with a remote receiver and having a pair of output electrical leads, and a pair of input electrical leads connected to a pair of electrical power leads of a solar photovoltaic module is provided, and which further includes a series switch, a module voltage measurement circuit, a module current measurement circuit, a temperature sensor, and a communication circuit.

An operation management device includes: a machining program information acquisition unit acquiring information related to machining program executed in the machine tool; a signaling information acquisition unit acquiring signaling information related to signals detected during execution of the machining programs in the machine tool; and an associated-information creation unit associating the information related to the machining program with the signaling information; and a search/display unit displaying the information related to the machining program and the signaling information, which are associated by the associated-information creation unit.

According to one embodiment of the present disclosure, there is provided a transfer apparatus comprising at least one arm configured to support a substrate; at least one gear disposed at a joint that rotatably supports the at least one arm, the at least one gear rotating the at least one arm; and a detector disposed to face the at least one gear and configured to detect a temperature of the at least one gear without contacting the at least one gear.

An automated bakery kiosk 1000 takes orders for customized bakery products 7, prepares the bakery product 7, automatically customizes it, stores and dispenses the bakery product 7 with minimal assistance required from a store associate 5. It employs a customization subsystem 1100 which can write or decorate with an edible liquid 9, such as icing, on the bakery product 7. It also has temperature-controlled storage compartments 1100 which can be used to thaw the bakery product 7 so that it will be ready when it reaches its ultimate destination. There is a cleaning subsystem 1131 which cleans out the liquid 9, and an antimicrobial system 1139 which reduces microbes on the customization device 1100. The automated bakery kiosk 1000 also has a customer interface 1610 that works with the processor 1510 and transport mechanism 1300 to transport the customer's bakery product 7 to a pick-up compartment 1020 when the customer 3 provides a proper code to access the bakery product 7.

A multimodal sensing architecture utilizes an array of single sensor or multi-sensor groups (superpixels) to facilitate advanced object-manipulation and recognition tasks performed by mechanical end effectors in robotic systems. The single-sensors/superpixels are spatially arrayed over contact surfaces of the end effector fingers and include, e.g., pressure sensors and vibration sensors that facilitate the simultaneous detection of both static and dynamic events occurring on the end effector, and optionally include proximity sensors and/or temperature sensors. A readout circuit receives the sensor data from the superpixels and transmits the sensor data onto a shared sensor data bus. An optional multimodal control generator receives and processes the sensor data and generates multimodal control signals that cause the robot system's control circuit to adjust control operations performed by the end effector or other portions of the robot mechanism and when the sensor data indicates non-standard operating conditions.

According to one embodiment, a controller calculates an estimation temperature profile, which represents a change with time in temperature of a substrate mounting surface in a state where a substrate is placed on a substrate stage, from warp amount information indicating a warp of the substrate. Further, the controller detects abnormality of a placement state of the substrate, on a basis of a difference between an actual measurement temperature profile, which represents a change with time in actual temperature measured by a temperature sensor in a state where the substrate is placed on the substrate stage, and the estimation temperature profile.