Winbond Electronics Corporation

Tunghai University

Taichung Veterans General Hospital

Yu-Jen Huang

Hsiu-Han Liao

Chu-Chun Hsieh

Lun-Chi Chen

Ruey-Kai Sheu

Min-Shian Wang

Chien-Lun Liao

Chieh-Liang Wu

Kai-Chih Pai

Yan-Nan Lin

Ta-Chun Hung

Ming-Cheng Chan

Wen-Cheng Chao

Hui-Chiao Yang

A method for forming a semiconductor structure is provided. The method includes providing a semiconductor substrate with a plurality of floating gates on it, and an isolation structure between the floating gates. The method includes performing a first etching process to recess the isolation structure and to form an opening between the floating gates to expose a portion of the sidewalls of the floating gates. The method includes conformally forming a liner in the opening. The method includes performing an ion implantation process to implant a dopant into the isolation structure below the liner. The method includes performing a second etching process to remove the liner and a portion of the isolation structure below the liner, thereby giving the bottom portion of the opening a tapered profile.

Method for forming semiconductor device that includes flash memory

A respiratory status classifying method is for classifying as one of at least two respiratory statuses and includes an original physiological parameter inputting step, an original chest image inputting step, a characteristic physiological parameter generating step, a characteristic chest image generating step, a training step and a classifier generating step. The characteristic chest image generating step includes processing at least a part of the original chest images, segmenting images of a left lung, a right lung and a heart from each of the original chest images that are processed, and enhancing image data of the images being segmented, so as to generate a plurality of characteristic chest images. The training step includes training two respiratory status classifiers using a plurality of characteristic physiological parameters and the characteristic chest images by at least one machine learning algorithm.

Respiratory status classifying method and system thereof

Growing community of inventors

Taichung, Taiwan

Yu-Jen Huang