http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Voltage Regulation of Retina Neuron Model with Dynamic Feedback for Biological Acquisition Image
Ala'aDdin Al-Shidaifat,Sandeep Kumar,송한정 한국바이오칩학회 2017 BioChip Journal Vol.11 No.4
The investigation on biological activated imagers using standard CMOS processes has become continuous trend where silicon retina with central- plane image processing, small pixel sizes, large dynamic range and relatively low power consumption are required. This work proposes a voltage regulation of retina neuron model with dynamic feedback approach for biological acquisition image. The implementation of retina neuron circuit consists of conventional current-feedback event generator with the extension of proposed current mirror and dynamic feedback stage. The proposed neuron circuit achieves extremely high dynamic voltage range with respect to light intensity which help to detect biological acquisition image and could be beneficial for retinal prostheses. Moreover, individually modelling of photodiode using Verilog-A and device model is proposed for activation of current-feedback event generator. This modeling of photodiode permits to simple, compact and linear solution for pixel implementation. The proposed voltage controlled retina neuron circuit is implemented and fabricated using 0.18 μm Magnachip CMOS process. The spikes of output voltage are varied according to the inputs taken as control voltage and light intensity. As per the observation, read-out spikes of output voltage pulses provide more brightness level in the image pixels. The fabrication of proposed neuron circuit achieves less power consumption in nano-joule under dc supply of 3.3 V. The experimental result of output voltage is made good correlation with simulated one.
알라딘,차민드라,지성현,응우웬 반하,권유진,송한정,Al-Shidaifat, Ala'aDdin,Jayawickrama, Chamindra,Ji, Sunghyun,Nguyen, Van Ha,Kwon, Yoo-Jin,Song, Hanjung Korea Electric Power Corporation 2016 KEPCO Journal on electric power and energy Vol.2 No.4
In this paper, the chaos-based secure scheme for power line communication is proposed for the first time. A digitalized chaotic generator based Lorenz system is utilized for generating nonlinear dynamic chaotic signal for masking the information signal instead of reported analog chaotic generators. A simple method of encryption and decryption is also given. In order to confirm the feasibility of the proposed scheme, the system is simulated using a simplified encryption/decryption method in Proteus. The gained results from simulation demonstrated that by using the chaos-based security method, the data can be encrypted and easily transmitted through the power line network efficiently.
jatoth deepak naik,Pradeep Gorre,Naga Ganesh Akuri,Sandeep Kumar,Ala’aDdin Al-Shidaifat,송한정 한국바이오칩학회 2022 BioChip Journal Vol.16 No.3
A complex analysis of spike monitoring in neuro-prosthetic diagnosis demands a high-speed sub-nanoscale transistors with an advanced device technologies. This work reports the high performance of Graphene field-effect transistor (GFET) based front-end amplifier (FEA) design for the neuro-prosthetic application. The 9 nm Graphene FET device is optimized by characterization of transconductance and drain current towards high sensitivity and small factor. The proposed GFET-based FEA with pseudo-resistor technique demonstrates very high-input impedance in Tera-ohms that nullify the input leakage current. Here, gain-bandwidth product and noise optimization of GFET FEA enhances the overall gain with negligible noise. The proposed design operates at low voltage, further reduces the power consumption, and achieves less chip area in sub-nano size so it could be more suitable for implantable devices. The GFET-based FEA architecture achieves an action potential spike of 1.4 μV while the local field potentials spike of 1.8 mV. The proposed architecture is implemented in Advanced Design System using the design kit of the GFET process. Power consumption of 3.14 μW is observed with a supply voltage of 0.9 V. The simulated and experimental results of the proposed design achieve an input impedance of 2 TΩ with excellent noise performance over a wideband of 13.85 MHz. The proposed work demonstrates better neural activity sensing when compared to the state-of-the-artwork, which could be highly beneficial for future neuroscientists.