Zobrazeno 1 - 10
of 373
pro vyhledávání: '"TuPei Chen"'
Autor:
Hongzhe Wang, Junjie Wang, Shiqin Yan, Ruicheng Pan, Mingyuan Sun, Qi Yu, Tupei Chen, Lei Chen, Yang Liu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Cellular automata (CA) are computational systems that exhibit complex global behavior arising from simple local rules, making them a fascinating candidate for various research areas. However, challenges such as limited flexibility and effici
Externí odkaz:
https://doaj.org/article/d4087536b8994a4eb7d6c2b3a7e5735e
Autor:
Linkun Liu, Yujian Pu, Junzhe Fan, Yu Yan, Wenpeng Liu, Kailong Luo, Yiwen Wang, Guanlin Zhao, Tupei Chen, Poenar Daniel Puiu, Hui Huang
Publikováno v:
Sensors, Vol 24, Iss 19, p 6426 (2024)
Pregnancy monitoring is always essential for pregnant women and fetuses. According to the report of WHO (World Health Organization), there were an estimated 287,000 maternal deaths worldwide in 2020. Regular hospital check-ups, although well establis
Externí odkaz:
https://doaj.org/article/42885795d9aa4332b5975053e8d7c328
Publikováno v:
Electronics Letters, Vol 60, Iss 8, Pp n/a-n/a (2024)
Abstract This work proposes a storage element (SE) design for in‐memory computing (IMC). Using the proposed SE design, an IMC array has been constructed to enable in‐situ updates of stored weights. Compared with some existing related works which
Externí odkaz:
https://doaj.org/article/2ace69fce89d4e09870a6000fc6f1bb5
Autor:
Hongzhe Wang, Xinqiang Pan, Junjie Wang, Mingyuan Sun, Chuangui Wu, Qi Yu, Zhen Liu, Tupei Chen, Yang Liu
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Working memory refers to the brain's ability to store and manipulate information for a short period. It is disputably considered to rely on two mechanisms: sustained neuronal firing, and “activity-silent” working memory. To develop a highly biolo
Externí odkaz:
https://doaj.org/article/1809f34ff2134783b948e79425e4a86c
Autor:
Jianxun Sun, Yuan Bo Li, Yiyang Ye, Jun Zhang, Gang Yih Chong, Juan Boon Tan, Zhen Liu, Tupei Chen
Publikováno v:
IEEE Access, Vol 8, Pp 4924-4934 (2020)
The resistive switching variability and reliability degradation are the two major challenges that hinder the high-volume production of the Resistive Random Access Memory (RRAM) devices. In this work, a 3D electrode structure engineering method is pro
Externí odkaz:
https://doaj.org/article/67d58393ff0045009077ed728ee3c167
Publikováno v:
IEEE Access, Vol 8, Pp 76929-76934 (2020)
In this work, we propose a novel active-matrix self-capacitance touch panel circuit. Each touch pixel contains only one thin film transistor. The principle of the touch event detection is to detect the voltage change, which is caused by the change of
Externí odkaz:
https://doaj.org/article/711910a2d76c45f19d30b1257dc58a3b
Autor:
Hongzhe Wang, Junjie Wang, Hao Hu, Guo Li, Shaogang Hu, Qi Yu, Zhen Liu, Tupei Chen, Shijie Zhou, Yang Liu
Publikováno v:
Sensors, Vol 23, Iss 5, p 2401 (2023)
Processing-in-Memory (PIM) based on Resistive Random Access Memory (RRAM) is an emerging acceleration architecture for artificial neural networks. This paper proposes an RRAM PIM accelerator architecture that does not use Analog-to-Digital Converters
Externí odkaz:
https://doaj.org/article/8f697e4ad13e478798d2b246ebbb7b51
Publikováno v:
IEEE Access, Vol 7, Pp 58876-58882 (2019)
By associative memory, people can remember a pattern in microseconds to seconds. In order to emulate human memory, an artificial neural network should also spend a reasonable time in recalling matters of different task difficulties or task familiarit
Externí odkaz:
https://doaj.org/article/6c51768dcaa34cfaa117abcd8b9afeb0
Autor:
Yanchen Liu, Caizhi Zhang, Tupei Chen, Deyu Kong, Rui Guo, J. J. Wang, Yuancong Wu, S. G. Hu, L. M. Rong, Qi Yu, Yang Liu
Publikováno v:
IEEE Access, Vol 7, Pp 43076-43083 (2019)
In this paper, an RF low noise amplifier (LNA) with self-recovery capability has been designed and implemented. A degradation model of hot carrier injection (HCI) of n-channel MOSFETs is proposed to simulate the aging process of the RF circuits, and
Externí odkaz:
https://doaj.org/article/857d1f6acd4c46018961cfbf56bb72c7
Autor:
Rui Guo, Kun Qian, Jinping Wei, Tupei Chen, Yanchen Liu, Deyu Kong, J. J. Wang, Yuancong Wu, S. G. Hu, Qi Yu, Yang Liu
Publikováno v:
IEEE Access, Vol 7, Pp 60120-60125 (2019)
In this paper, a 2 GHz LC-VCO with neural network (Multilayer Perceptron) has been designed in a 0.13 ţm CMOS technology. With the integrated neural network, the linearity and tuning range of the LC-VCO has been substantially improved. Compared to
Externí odkaz:
https://doaj.org/article/4a305d67977d4c77a7c71ec660da9989