Kyeong-Sik Min

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In this paper, a neuromorphic crossbar circuit with binary memristors is proposed for speech recognition. The binary memristors which are based on filamentary-switching mechanism can be found more popularly and are easy to be fabricated than analog memristors that are rare in materials and need a more complicated fabrication process. Thus, we develop a(More)
A new Row-by-Row Dynamic Source-line Voltage control (RRDSV) scheme is proposed to reduce the active leakage as well as the stand-by leakage in SRAM. By dynamically controlling the source-line voltage of cells row by row, the cell leakage through inactive cells can be reduced by two orders of magnitude. Moreover, the bit-line leakage through pass(More)
In this paper, a new low-VDD CMOS bandgap reference circuit with small layout area and low power consumption is proposed. The proposed circuit delivering its output voltage below 1V has its Proportional-To-Absolute-Temperature (PTAT) term compensated by the Complementary-proportional-To-AbsoluteTemperature (CTAT) voltage thereby suppressing a change in its(More)
A new Row-by-Row Dynamic Source-line Voltage control (RRDSV) scheme is proposed to reduce the active leakage as well as the stand-by leakage in SRAM. By dynamically controlling the source-line voltage of cells row by row, the cell leakage through inactive cells can be reduced by two orders of magnitude. Moreover, the bit-line leakage through pass(More)
Cellular Neural Network (CNN) that can provide parallel processing in massive scale is known suitable to neuromorphic applications such as vision systems. In this paper, we propose a new synaptic weighting circuit that can perform analog multiplication for CNN applications. The common-mode feedback is used in the new weighting circuit to minimize the output(More)