( en | de | ru )

 

Disambiguation of "Arata, Shigeki"

Author of the publication

copydeleteadd this publication to your clipboard
Design of gate-leakage-based timer using an amplifier-less replica-bias switching technique in 55-nm DDC CMOS.

, , , , and . ASP-DAC, page 9-10. ACM, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shigeki Nagai

Shigeki Tomo

 

Other publications of authors with the same name

A 385×385μm2 0.165V 0.27nW Fully-Integrated Supply-Modulated OOK Transmitter in 65nm CMOS for Glasses-Free, Self-Powered, and Fuel-Cell-Embedded Continuous Glucose Monitoring Contact Lens., , , , , , and . IEICE Trans. Electron., 102-C (7): 590-594 (2019)A 65-nm CMOS 1.4-nW Self-Controlled Dual-Oscillator-Based Supply Voltage Monitor for Biofuel-Cell-Combined Biosensing Systems., , , , , and . ISCAS, page 1-5. IEEE, (2019)A 6.1-nA Fully Integrated CMOS Supply Modulated OOK Transmitter in 55-nm DDC CMOS for Glasses-Free, Self-Powered, and Fuel-Cell-Embedded Continuous Glucose Monitoring Contact Lens., , , , , and . IEEE Trans. Circuits Syst. II Express Briefs, 65-II (10): 1360-1364 (2018)Design of gate-leakage-based timer using an amplifier-less replica-bias switching technique in 55-nm DDC CMOS., , , , and . ASP-DAC, page 9-10. ACM, (2019)A Blood Glucose Level Prediction System Using Machine Learning Based on Recurrent Neural Network for Hypoglycemia Prevention., , , , , and . NEWCAS, page 291-295. IEEE, (2018)An FSK Inductive-Coupling Transceiver Using 60mV 0.64fJ/bit 0.0016mm2 Load-Modulated Transmitter and LC-Oscillator-Based Receiver in 65nm CMOS for Energy-Budget-Unbalanced Application., , , , , , and . IEICE Trans. Electron., 102-C (7): 585-589 (2019)A 385μm × 385μm 0.165 V 0.27 nW Fully-Integrated Supply-Modulated OOK CMOS TX in 65nm CMOS for Glasses-Free, Self-Powered, and Fuel-Cell-Embedded Continuous Glucose Monitoring Contact Lens., , , , , , , , and . BioCAS, page 1-4. IEEE, (2018)Live Demonstration: 385 × 385 μm2 0.165V 270pW Fully-Integrated Supply-Modulated OOK Tx in 65nm CMOS for Glasses-Free, Self-Powered, and Fuel-Cell-Embedded Continuous Glucose Monitoring Contact Lens., , , , , , and . BioCAS, page 1. IEEE, (2018)A Solar-Cell-Assisted, 99.66% Biofuel Cell Area Reduced, Biofuel-Cell-Powered Wireless Biosensing System in 65-nm CMOS for Continuous Glucose Monitoring Contact Lenses., , , , , , , and . ICECS, page 61-64. IEEE, (2019)AI-Based Edge-Intelligent Hypoglycemia Prediction System Using Alternate Learning and Inference Method for Blood Glucose Level Data with Low-periodicity., , , , , , , and . AICAS, page 201-206. IEEE, (2019)