A multistandard dual-mode fully-integrated miniature, low-power-consumption 860-960 MHz CMOS RFID reader for mobile communications, sensing, and networking

2012 ◽  
Vol 54 (11) ◽  
pp. 2487-2491 ◽  
Author(s):  
Sanghun Lee ◽  
Hyukje Kwon ◽  
Changho Ryu ◽  
Sungwan Kim ◽  
Kyoungyong Kang ◽  
...  
Author(s):  
Fahmi Elsayed ◽  
◽  
Mostafa Rashdan ◽  
Mohammad Salman

This paper presents a fully integrated CMOS Operational Floating Current Conveyor (OFCC) circuit. The proposed circuit is designed for instrumentation amplifier circuits. The CMOS OFCC circuit is designed and simulated using Cadence in TSMC 90 m technology kit. The circuit aims at two different design goals. The first goal is to design a low power consumption circuit (LBW design) while the second is to design a high bandwidth circuit (HBW design). The total power consumption of the LBW design is 1.26 mW with 30 MHz bandwidth while the power consumption of the HBW design is 3 mW with 104.6 MHz bandwidth.


Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7703
Author(s):  
Manal Mohamed ◽  
Eunjung Jo ◽  
Nourelhuda Mohamed ◽  
Minhee Kim ◽  
Jeong-dae Yun ◽  
...  

In this study, a fully integrated electroencephalogram/functional near-infrared spectroscopy (EEG/fNIRS) brain monitoring system was designed to fulfill the demand for a miniaturized, light-weight, low-power-consumption, and low-cost brain monitoring system as a potential tool with which to screen for brain diseases. The system is based on the ADS1298IPAG Analog Front-End (AFE) and can simultaneously acquire two-channel EEG signals with a sampling rate of 250 SPS and six-channel fNIRS signals with a sampling rate of 8 SPS. AFE is controlled by Teensy 3.2 and powered by a lithium polymer battery connected to two protection circuits and regulators. The acquired EEG and fNIRS signals are monitored and stored using a Graphical User Interface (GUI). The system was evaluated by implementing several tests to verify its ability to simultaneously acquire EEG and fNIRS signals. The implemented system can acquire EEG and fNIRS signals with a CMRR of −115 dB, power consumption of 0.75 mW/ch, system weight of 70.5 g, probe weight of 3.1 g, and a total cost of USD 130. The results proved that this system can be qualified as a low-cost, light-weight, low-power-consumption, and fully integrated EEG/fNIRS brain monitoring system.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 165-172
Author(s):  
Dongge Deng ◽  
Mingzhi Zhu ◽  
Qiang Shu ◽  
Baoxu Wang ◽  
Fei Yang

It is necessary to develop a high homogeneous, low power consumption, high frequency and small-size shim coil for high precision and low-cost atomic spin gyroscope (ASG). To provide the shim coil, a multi-objective optimization design method is proposed. All structural parameters including the wire diameter are optimized. In addition to the homogeneity, the size of optimized coil, especially the axial position and winding number, is restricted to develop the small-size shim coil with low power consumption. The 0-1 linear programming is adopted in the optimal model to conveniently describe winding distributions. The branch and bound algorithm is used to solve this model. Theoretical optimization results show that the homogeneity of the optimized shim coil is several orders of magnitudes better than the same-size solenoid. A simulation experiment is also conducted. Experimental results show that optimization results are verified, and power consumption of the optimized coil is about half of the solenoid when providing the same uniform magnetic field. This indicates that the proposed optimal method is feasible to develop shim coil for ASG.


2016 ◽  
Vol 136 (11) ◽  
pp. 1555-1566 ◽  
Author(s):  
Jun Fujiwara ◽  
Hiroshi Harada ◽  
Takuya Kawata ◽  
Kentaro Sakamoto ◽  
Sota Tsuchiya ◽  
...  

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