scholarly journals Regulated Charge Pumps: A Comparative Study by Means of Verilog-AMS

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 998 ◽  
Author(s):  
Andrea Ballo ◽  
Michele Bottaro ◽  
Alfio Dario Grasso ◽  
Gaetano Palumbo

This paper proposes a comparative study of regulation schemes for charge-pump-based voltage generators using behavioral models in Verilog- Analog Mixed Signal (AMS) code. An accurate and simple model of the charge pump is first introduced. It allows reducing the simulation time of complex electronic systems made up by both analog and digital circuits while maintaining a good agreement with transistor-level simulations. Finally, a comprehensive comparative study of the different regulation schemes for charge pumps is reported which allows the designer to choose the most suitable topology for a given application and Charge Pump (CP) operative zone.






1999 ◽  
Author(s):  
Mitsuteru Kimura ◽  
Katsuhisa Toshima ◽  
Harunobu Satoh

Abstract A new type all optical vibration and acceleration sensor using the combination of micromachined Si cantilever and optical fiber is proposed, and its fundamental characteristics are demonstrated. The light emitted from bulb-lens set into the V-groove is reflected at the reflector formed on the Si cantilever and then recoupled into the bulb-lens. Several sensors with different length (0.64–6.0 mm long) of the Si cantilever are fabricated to compare the theoretical resonance frequency fr obtained from the simple model and experimental ones. They had good agreement. From the sensing principle the sensing frequency range of the vibration is suitable below the fr of the Si cantilever of the sensor.



1988 ◽  
Vol 24 (1-4) ◽  
pp. 89-91 ◽  
Author(s):  
N. Fujinami ◽  
S. Esaka

Abstract A simple model is proposed for estimating the mixing depth from the diurnal variation of 222Rn concentration in surface air. The comparison is described between the mixing depth calculated with the model and that determined from observations of temperature profiles with rawinsondes, which indicates good agreement.



Author(s):  
Bo Huang

This study analyzed three prediction models: ID model, GM (1,1) model and back-propagation neural network (BPNN) model. Firstly, the principles of the three models were introduced, and the prediction methods of the three models were analyzed. Then, taking enterprise A as an example, the demand for human resources was predicted, and the prediction results of the three models were compared. The results showed that the maximum and minimum errors were 240 people and 12 people respectively in the prediction results of the ID3 model and 64 people and 37 people respectively in the prediction results of the GM (1, 1) model; the errors of the BPNN model were smaller than ten people, and the minimum value of the BPNN model was three people, which was in good agreement with the actual value. The prediction of the human resource demand of enterprise A in the future five years with the BPNN model suggested that the demand for employees would growing rapidly. The results show that the BPNN model has better reliability and can be popularized and applied in practice.



2021 ◽  
pp. 1-15
Author(s):  
Vivek Kumar Singh ◽  
Trupa Sarkar ◽  
Sambhu Nath Pradhan


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