Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Mohammad Hossein Moaiyeri"'
Autor:
Mohammad Javad Adel, Mohammad Hadi Rezayati, Mohammad Hossein Moaiyeri, Abdolah Amirany, Kian Jafari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The ubiquitous presence of electronic devices demands robust hardware security mechanisms to safeguard sensitive information from threats. This paper presents a physical unclonable function (PUF) circuit based on magnetoresistive random acce
Externí odkaz:
https://doaj.org/article/9f225083f21d4d969a8397123b8590b3
Autor:
Mohammad Javad Adel, Mohammad Hadi Rezayati, Mohammad Hossein Moaiyeri, Abdolah Amirany, Kian Jafari
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/cffb214f94c84c6f948bbf6681ab9757
Publikováno v:
IEEE Access, Vol 12, Pp 132817-132824 (2024)
The emerging multi-value logic technology in memory systems has increased data storage capacity and power efficiency. In this paper, to address the power consumption challenge of ternary memory, a ternary precharge sense amplifier (TPCSA)-based magne
Externí odkaz:
https://doaj.org/article/c7f5fad6d2fb44edab090320b3a94d10
Publikováno v:
IET Circuits, Devices and Systems, Vol 17, Iss 4, Pp 205-212 (2023)
Abstract Significant progress has been made in manufacturing emerging technologies in recent years. This progress implemented in‐memory‐computing and neural networks, one of today's hottest research topics. Over time, the need to process complex
Externí odkaz:
https://doaj.org/article/0fd886c7a18a492481ad9b6728fada55
Publikováno v:
IEEE Access, Vol 11, Pp 72159-72171 (2023)
In this paper, a hybrid memory architecture based on a new array of SRAM and resistive random-access memory (RRAM) cells is proposed to perform in-memory computing by implementing all basic two-input Boolean functions. The SRAM array can be configure
Externí odkaz:
https://doaj.org/article/95d31b84d0a34a0aae29578761d6c645
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 13, Iss 1, Pp 19-26 (2022)
The stochastic neuron has great importance in neural networks and is one of the most important subjects in machine learning algorithms. Hardware implementation of neural networks has always been of interest to researchers and can significantly increa
Externí odkaz:
https://doaj.org/article/ad9dc42be7f14c2382461fcb31a723c5
Publikováno v:
IEEE Access, Vol 10, Pp 105040-105051 (2022)
With the successful development of information technology, particularly in big data and neural network scopes, the appetency for denser memory compositions has exponentially outreached. Accordingly, multi-valued logic has extensively been explored as
Externí odkaz:
https://doaj.org/article/c0f4d706a8e741b38d7bd73ba22e3fa5
Publikováno v:
IEEE Access, Vol 9, Pp 132641-132651 (2021)
Despite the advantages of ternary logic, it has suffered from excessive transistor count and limited noise margin. This work proposes an ultra-efficient nonvolatile ternary flip-flop (FF) based on negative capacitance carbon nanotube field-effect tra
Externí odkaz:
https://doaj.org/article/04c785b36b56402eb8ee551a0328b1eb
Publikováno v:
Results in Physics, Vol 7, Iss , Pp 3543-3551 (2017)
Nanotechnologies, notably quantum-dot cellular automata, have achieved major attentions for their prominent features as compared to the conventional CMOS circuitry. Quantum-dot cellular automata, particularly owning to its considerable reduction in s
Externí odkaz:
https://doaj.org/article/a2974869dcf24c50ad76ea6f5c50c170
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 19, Iss 1, Pp 271-278 (2016)
This paper presents an efficient ternary serial adder for nanotechnology employing negative, positive and standard ternary logics. Multiple-valued logic results in chips with more density, less complexity and high-bandwidth data transfer. The unique
Externí odkaz:
https://doaj.org/article/490d24100040402992f9a638d48c5d75