Abstract: A method for generating an abnormal state detection model, that includes: receiving first and second normal state signals detected, for a predetermined time by first and second sensors, respectively; generating a normal state data set based on the first and the second normal state signals; recognizing first and second variable values; generating a first abnormal state signal by applying the first variable value to an impulse function and a second abnormal state signal by applying the second variable value to a Gaussian distribution function; generating an abnormal state data set based on the first and second abnormal state signals; generating a detection model learning set for generating an abnormal state detection model by combining the normal state data set and the abnormal state data set; and generating an abnormal state detection model based on the detection model learning set.

Abstract: The present disclosure relates to a recombinant E. coli strain that produces xylitol from xylose, a method for preparing the same, and a use thereof. Specifically, according to an embodiment of the present disclosure, there is provided a method for producing xylitol, wherein the method includes: culturing the recombinant E. coli strain transformed with an expression vector including a gene encoding a YahK enzyme and the recombinant E. coli strain on a substrate containing xylose (stage 1); and obtaining the xylitol from the culture cultured in stage 1 (stage 2).

Abstract: A method for setting a threshold value of a sensor is provided.

Abstract: A method for generating an abnormal state detection model, that includes: receiving first and second normal state signals detected, for a predetermined time by first and second sensors, respectively; generating a normal state data set based on the first and the second normal state signals; recognizing first and second variable values; generating a first abnormal state signal by applying the first variable value to an impulse function and a second abnormal state signal by applying the second variable value to a Gaussian distribution function; generating an abnormal state data set based on the first and second abnormal state signals; generating a detection model learning set for generating an abnormal state detection model by combining the normal state data set and the abnormal state data set; and generating an abnormal state detection model based on the detection model learning set.

Abstract: Disclosed are a facility failure prediction system and method using an acoustic signal of the ultrasonic band. The facility failure prediction system using an ultrasonic band according to the present disclosure includes a detection sensor located adjacent to a facility, and a server configured to determine whether sampling data extracted from an acoustic signal is a normal signal or an abnormal signal to generate a plurality of labeling information, to analyze sampling data corresponding to abnormal signal labeling information determined as an abnormal signal to generate abnormal signal analysis information, and to analyze a pattern of normal signal labeling information determined as the normal signal among the plurality of labeling information and the abnormal signal analysis information to provide failure prediction information for the facility.

Abstract: Disclosed herein is a system for transmitting vehicle state information. The system includes a Smartcard Control Unit (SCU) configured to store the vehicle state information, and to have a Universal Serial Bus (USB) port; a personal terminal for receiving and reading the vehicle state information from the SCU through a smartcard; a web server for storing the vehicle state information; and a repair shop terminal having a USB port configured to be connected to the USB port installed in the SCU through a USB cable and to receive the vehicle state information.

Abstract: A kimchi storage device capable of fast fermenting kimchi, and once kimchi has been adequately fermented, of functioning as a cold storage therefor includes a main body provided with a refrigeration unit and a plurality of kimchi storage chambers, a heater and an evaporator installed on inner side walls in each of the kimchi storage chambers, at least one high and one low temperature sensors in each of the kimchi storage chambers and a control unit for controlling the evaporator and the heater in each of the kimchi storage chambers.