An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting

Keyword spotting (KWS) is an important task on edge low-power audio devices. A typical edge KWS system consists of a front-end feature extractor which outputs mel-scale frequency cepstral coefficients (MFCC) features followed by a back-end neural network classifier. KWS edge designs aim for the best power-performance-area metrics. This work...

Evaluation of Drying and Anatomical Characteristic of Mongolian Oak Lumber by Kiln Drying due to storage time after sawing: Poster presentation

Based on the 2017 statistics of the Korea Forest Service, the amount of annual production of domestic roundwood was 4.5 million ㎥. Twenty eight percent of the production was hardwood roundwood. About 80% of the hardwood was Quercus species. The hardwood roundwoods were mainly used for wood chips (50%) and medium density fiberboard (MDF)(26%)....