Abstract: An inverter module according to an embodiment of the present invention comprises: a high voltage circuit unit which generates an inverter control voltage and a motor driving voltage by using a first DC voltage; a high voltage circuit pattern which electrically connects the high voltage circuit unit; a low voltage circuit unit which communicates with an external device by using a second DC voltage having a smaller magnitude than the first DC voltage; and a low voltage circuit pattern which electrically connects the low voltage circuit unit. The high voltage circuit pattern and the low voltage circuit pattern are spaced apart from each other.

Abstract: It is disclosed a blood glucose prediction system and method using saliva-based artificial intelligence deep learning technique.

Abstract: An apparatus for evaluating sound quality and a method thereof may include generating an original sound, measuring a test sound generated from a subject of sound quality evaluation, analyzing a signal of the test sound measured according to a time domain, generating a plurality delay signals that are delayed from the signal of the time domain by one period, determining a degree of matching by matching the signal of the time domain to each delay signal, determining whether a white nose is occurred based on the degree of matching, and outputting the status of the white noise on the subject of the sound evaluation. The signal of the test sound may be analyzed according to a frequency domain, and a degree of occurrence of buzz and rattle is determined based on a fundamental frequency of the frequency domain and a plurality of Harmonics corresponding to the frequency domain.