Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Sung-Mo Steve Kang"'
Publikováno v:
Frontiers in Nanotechnology, Vol 3 (2021)
The introduction of nano-memristors in electronics may allow to boost the performance of integrated circuits beyond the Moore era, especially in view of their extraordinary capability to process and store data in the very same physical volume. Howeve
Externí odkaz:
https://doaj.org/article/5200ed03a40c40af996ff2161bf0a4a6
Autor:
Sung-Mo Steve Kang
Publikováno v:
IEEE Circuits and Systems Magazine. 16:11-15
This paper presents a historical review of author's early works influenced by the Circuits and Systems Group at UC Berkeley of which Prof. Ernest S. Kuh was a core member. They range from modeling of nonlinear devices and systems, in particular memri
Autor:
Jun-Ho Kim, Kyoung-Rok Cho, Herbert Ho-Ching Iu, Kamran Eshraghian, Jason K. Eshraghian, Seungbum Baek, Nicolangelo Iannella, Yong Sook Goo, Sung-Mo Steve Kang
Publikováno v:
International journal of neural systems. 28(7)
Existing computational models of the retina often compromise between the biophysical accuracy and a hardware-adaptable methodology of implementation. When compared to the current modes of vision restoration, algorithmic models often contain a greater
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 61:1390-1399
A modular compact model for memristors which describes a wide range of memristive devices is presented. Its modular structure enables the modeling of various device behaviors by adopting different functions inside the comprising blocks. Rooted from t
Autor:
Sung-Mo Steve Kang, Sangho Shin
Publikováno v:
International Journal of Circuit Theory and Applications. 40:1071-1083
A frequency synthesizer with low-power and very short settling time is introduced, which utilizes two-point channel control paths. While the main-path is the same as normal channel controls, a digital-to-analog converter (DAC) with tunable gain is us
Publikováno v:
ISCAS
A memristor-based architecture for neuromorphic computing is proposed. With memristors mimicking key characteristics of synapses and neurons, such nanoscale neural networks exhibit learning and memory effects with high integration density and scalabi
Publikováno v:
IEEE Circuits and Systems Magazine. 16:4-5
Professor Ernest S. Kuh passed away on June 27, 2015, with his family by his side after a short illness. This special issue is dedicated to Prof. Kuh and his numerous contributions to circuit theory and computer-aided design, to education, and to the
Publikováno v:
2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA).
This paper investigates a new analog memristor application to nanopore-based DNA sequencing systems, where the memristors' property of dynamic resistance is utilized to effectively amplify the DNA translocation induced block-to-open ratio of the pore
Publikováno v:
ISCAS
A memristors-based Ternary Content Addressable Memory (mTCAM) is presented. A unit mTCAM cell consists of 5T2R, five transistors and two memristors to store the ternary information, having higher storage density than conventional CMOS TCAMs together
Electrical overstress (EOS) and Electrostatic discharge (ESD) pose one of the most dominant threats to integrated circuits (ICs). These reliability concerns are becoming more serious with the downward scaling of device feature sizes. Modeling of Elec