Industrial Technology Research Institute

Yi-Ching Kuo

Shih-Chieh Chang

Shyh-Shyuan Sheu

Chih-Sheng Lin

Fu-Cheng Tsai

Tay-Jyi Lin

A data feature augmentation system and method for a low-precision neural network are provided. The data feature augmentation system includes a first time difference unit. The first time difference unit includes a first sample-and-hold circuit and a subtractor. The first sample-and-hold circuit is used for receiving an input signal and obtaining a first signal according to the input signal. The first signal is related to a first leakage rate of the first sample-and-hold circuit and the first signal is the signal generated by delaying the input signal by one time unit. The subtractor is used for performing subtraction on the input signal and the first signal to obtain a time difference signal. The input signal and the time difference signal are inputted to the low-precision neural network.

Data feature augmentation system and method for low-precision neural network

A magnetic biosensor includes a fluidic channel, a magnetic sensor and an acoustic wave emitter. The disposition of the magnetic sensor corresponds to the fluidic channel. The acoustic wave emitter includes two wave generating units, and the fluidic channel is disposed between the two wave generating units.

Growing community of inventors

Tainan, Taiwan

Yi-Ching Kuo