Implementation of Convolutional Kernel Function Using 3-D TiOx Resistive Switching Devices for Image Processing

被引：17
作者：
Kwak, Myonghoon [1 ,2 ]
Park, Jaesung [1 ,2 ]
Woo, Jiyong [1 ,2 ]
Hwang, Hyunsang [1 ,2 ]
机构：
[1] Pohang Univ Sci & Technol, Ctr Single Atom Based Semicond Device, Pohang 790784, South Korea
[2] Pohang Univ Sci & Technol, Dept Mat Sci & Engn, Pohang 790784, South Korea
来源：
IEEE TRANSACTIONS ON ELECTRON DEVICES | 2018年 / 65卷 / 10期
关键词：
3-D integrated array; kernel; multilevel; resistive switching device (RSD); TiOx;
D O I：
10.1109/TED.2018.2862139
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We implemented a convolution operation in a convolutional neural network by introducing a 3-D integrated TiOx-based resistive switching device (RSD) array to act as the kernel. The 3-D integrated TiOx-based RSD exhibits a gradual SET/RESET behavior, which enables multilevel characteristics. A pair of layers in the 3-D structured array is used to achieve the positive and negative weights. Based on these results, we demonstrated the 3 x 3 Laplace kernel for edge detection using images from the Columbia Object Image Library data set in a simulator to validate the convolution operation.
引用
收藏
页码：4716 / 4718
页数：3
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