Abstract: A detecting system includes a tank unit, a pump and a controller. The tank unit includes a tank and an ultrasonic sensor. The tank stores machining fluid. The ultrasonic sensor is disposed on the tank, and measures a distance to a surface of the machining fluid stored in the tank and outputs a distance signal based on measurement of the distance. The pump is disposed on the tank, is connected to a nozzle of a machine tool, and pumps the machining fluid from the tank to the nozzle for spraying the machining fluid on a workpiece. The controller is connected to the machine tool, the ultrasonic sensor and the pump, and receives the distance signal, performs a liquid-level analysis based on the distance signal, and outputs to the machine tool a result of the liquid-level analysis.

Abstract: A system for predicting types of pathogens in patients with septicemia is provided. The system includes at least one sensor and a processor. The sensor is used to sense current physiological data including at least one of body temperature, blood pressure, and pulse. The processor is configured to calculate at least one feature value according to the current physiological data, and input the feature value into a machine learning model to determine one of categories including at least two of uninfected, fungal infected, contaminated bacteria infected, Gram-negative infected, and Gram-positive infected.

Abstract: A system for enhancing accuracy of body surface temperature measurement includes: a core body temperature sensor configured to obtain a core body temperature data of a user, a heart rate sensor configured to obtain a heart rate data of the user, a physical indicator sensor configured to obtain at least one physical indicator of the user, a body surface temperature sensor configured to obtain a body surface temperature data of the user, an environment temperature sensor configured to obtain an environment temperature data, a humidity sensor configured to obtain an environment humidity data, and a processor. The processor is configured to calculate a representative feature temperature data of the user according to the core temperature data, the heart rate data, the at least one physical indicator, the body surface temperature data, the environment temperature data, and the environment humidity data.