Automated Lookup Table Generation and Cloning of Tuneable Photonic Integrated Filters

2021 ◽  
Author(s):  
Matteo Petrini ◽  
Maziyar Milanizadeh ◽  
Francesco Morichetti ◽  
Andrea Melloni
Keyword(s):  
Lookup Table ◽  
Integrated Filters

LOOKUP TABLE-BASED ADAPTIVE BODY BIASING OF MULTIPLE MACROS FOR PROCESS VARIATION COMPENSATION AND LOW LEAKAGE

2010 ◽  
Vol 19 (07) ◽  
pp. 1449-1464 ◽  
Author(s):  
BYUNGHEE CHOI ◽  
YOUNGSOO SHIN
Keyword(s):  
Supply Voltage ◽  
Process Variation ◽  
Power Saving ◽  
Lookup Table ◽  
Low Leakage ◽  
Fine Grain ◽  
Body Biasing ◽  
Block Level ◽  
Adaptive Body Bias ◽  
Body Bias

A reduced supply voltage must be accompanied by a reduced threshold voltage, which makes this approach to power saving susceptible to process variation in transistor parameters, as well as resulting in increased subthreshold leakage. While adaptive body biasing is efficient for both compensating process variation and suppressing leakage current, it suffers from a large overhead of control circuit. Most body biasing circuits target an entire chip, which causes excessive leakage of some blocks and misses the chance of fine grain control. We propose a new adaptive body biasing scheme, based on a lookup table for independent control of multiple functional blocks on a chip, which controls leakage and also compensates for process variation at the block level. An adaptive body bias is applied to blocks in active mode and a large reverse body bias is applied to blocks in standby mode. This is achieved by a central body bias controller, which has a low overhead in terms of area, delay, and power consumption. The problem of optimizing the required set of bias voltages is formulated and solved. A design methodology for semicustom design using standard-cell elements is developed and verified with benchmark circuits.

scholarly journals Lookup table–based inverse model for determining optical properties of turbid media

2008 ◽  
Vol 13 (5) ◽  
pp. 050501 ◽  
Author(s):  
Narasimhan Rajaram ◽  
Tri H. Nguyen ◽  
James W. Tunnell
Keyword(s):  
Optical Properties ◽  
Inverse Model ◽  
Lookup Table ◽  
Turbid Media

scholarly journals Development of configurations for lookup table–based Embryonics using graphic mapping: A case study

2015 ◽  
Vol 7 (7) ◽  
pp. 168781401559253 ◽  
Author(s):  
Qingqi Zhuo ◽  
Yanling Qian ◽  
Yue Li ◽  
Nantian Wang
Keyword(s):  
Lookup Table

scholarly journals Lookup Table and Neural Network Hybrid Strategy for Wind Turbine Pitch Control

2021 ◽  
Vol 13 (6) ◽  
pp. 3235
Author(s):  
J. Enrique Sierra-García ◽  
Matilde Santos
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
Control Strategy ◽  
Neural Control ◽  
Mapping Function ◽  
Energy System ◽  
Lookup Table ◽  
Hybrid Strategy ◽  
Pitch Control ◽  
The Neural Network

Wind energy plays a key role in the sustainability of the worldwide energy system. It is forecasted to be the main source of energy supply by 2050. However, for this prediction to become reality, there are still technological challenges to be addressed. One of them is the control of the wind turbine in order to improve its energy efficiency. In this work, a new hybrid pitch-control strategy is proposed that combines a lookup table and a neural network. The table and the RBF neural network complement each other. The neural network learns to compensate for the errors in the mapping function implemented by the lookup table, and in turn, the table facilitates the learning of the neural network. This synergy of techniques provides better results than if the techniques were applied individually. Furthermore, it is shown how the neural network is able to control the pitch even if the lookup table is poorly designed. The operation of the proposed control strategy is compared with the neural control without the table, with a PID regulator, and with the combination of the PID and the lookup table. In all cases, the proposed hybrid control strategy achieves better results in terms of output power error.

3D Shape Measurement Using Speckle-Embedded Fringes and Lookup Table

2021 ◽  
Vol 41 (5) ◽  
pp. 0512003
Author(s):  
张嘉玲 Zhang Jialing ◽  
郭文博 Guo Wenbo ◽  
吴周杰 Wu Zhoujie ◽  
张启灿 Zhang Qican
Keyword(s):  
Lookup Table ◽  
Shape Measurement ◽  
3D Shape ◽  
3D Shape Measurement
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