Zobrazeno 1 - 10 of 136 pro vyhledávání: '"Bai Sun Kong"'
1
Akademický článek
A Genetic Algorithm Accelerator Based on Memristive Crossbar Array for Massively Parallel Computation
Autor: Mohammadhadi Baghbanmanesh, Bai-Sun Kong
Publikováno v: IEEE Access, Vol 12, Pp 122437-122451 (2024)
Genetic algorithm (GA) has been extensively used for solving complex problems. Due to a high computational burden of finding solutions using GA, acceleration with hardware support has been a choice. In this paper, a GA accelerator based on the proces
Externí odkaz: https://doaj.org/article/5279ade0113f4948a3d8db10fb2eb075
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2
Akademický článek
Low-Power High-Speed Sense-Amplifier-Based Flip-Flops With Conditional Bridging
Autor: Bomin Joo, Bai-Sun Kong
Publikováno v: IEEE Access, Vol 11, Pp 121835-121844 (2023)
Conventional high-performance flip-flops suffer from large power consumption at the nominal supply region and unreliable operation in the low-voltage region. To overcome these drawbacks, this paper proposes conditional-bridging flip-flops (CBFFs) tha
Externí odkaz: https://doaj.org/article/1f3e664c325e422abeca75abe27c2d14
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3
Akademický článek
Self-selective van der Waals heterostructures for large scale memory array
Autor: Linfeng Sun, Yishu Zhang, Gyeongtak Han, Geunwoo Hwang, Jinbao Jiang, Bomin Joo, Kenji Watanabe, Takashi Taniguchi, Young-Min Kim, Woo Jong Yu, Bai-Sun Kong, Rong Zhao, Heejun Yang
Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
Designing large-scale crossbar arrays for energy efficient neuromorphic computing systems remains a challenge. Here, the authors propose Van der Waals (h-BN/graphene/h-BN) self-selective memory design able to combine, in the same cell, non-volatile a
Externí odkaz: https://doaj.org/article/7f8571dd345148ba84f1f7dda8d08516
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5
How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation
Autor: Jieun Kim, Ronald Tetzlaff, Wei Lu, Leon O. Chua, Ahmet Samil Demirkol, Xiaojian Zhu, Peng Zhou, Alon Ascoli, Bai-Sun Kong, Sung-Mo Kang, Donguk Choi, Jason K. Eshraghian
Publikováno v: IEEE Transactions on Circuits and Systems I: Regular Papers. 68:4837-4850
We present and experimentally validate two minimal compact memristive models for spiking neuronal signal generation using commercially available low-cost components. The first neuron model is called the Memristive Integrate-and-Fire (MIF) model, for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::59e327f2be6f40bf5f1c4ca86c56993d
https://doi.org/10.1109/tcsi.2021.3126555
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6
A Comprehensive Review of Design Challenges and Techniques for Nanoscale SRAM: A Cell Perspective
Autor: Bai-Sun Kong, Mohd. Hasan, Naushad Alam, Sayeed Ahmad
In order to meet the ultra-low power requirement of modern digital systems, voltage scaling is a fruitful technique that is widely adopted. However, the voltage scaling at ultra-scaled technologies significantly affect the stability of an Static Rand
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24963917b4ae2653d850bef5f7b1f206
https://doi.org/10.36227/techrxiv.21326055
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7
Akademický článek
High-Efficiency DC–DC Converter with Charge-Recycling Gate-Voltage Swing Control
Autor: Jung-Duk Suh, Yeong-Ho Yun, Bai-Sun Kong
Publikováno v: Energies, Vol 12, Iss 5, p 899 (2019)
This paper proposes a high-efficiency DC–DC converter with charge-recycling gate-voltage swing control with a light load. By achieving a variable gate-voltage swing in a very efficient manner by charge recycling, the power efficiency has been subst
Externí odkaz: https://doaj.org/article/ab3c0681a6b14428bffc86d210679e4c
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