Pipelined Non-strobed Sensing Scheme for Lowering BL Swing in Nano-scale Memories
Year
: 2014DOI: 10.1109/PVSC.2014.6925511
Keyword(s): Monte Carlo methods,photovoltaic power systems,sampling methods,sensitivity analysis,stochastic processes,Monte Carlo sampling,PV system,aggregate uncertainty,cell temperature estimation,effective irradiance models,energy production,measured irradiance translation,model residual analysis,module electrical output calculation,photovoltaic power systems,plane-of-array transposition,power prediction,rank correlations,sensitivity analysis,stochastic process models,uncertainty anal
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Pipelined Non-strobed Sensing Scheme for Lowering BL Swing in Nano-scale Memories
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| contributor author | Khanna, S. , Nalam, S.V. , Calhoun, B.H. | |
| date accessioned | 2020-03-12T19:30:08Z | |
| date available | 2020-03-12T19:30:08Z | |
| date issued | 2014 | |
| identifier other | 6733120.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/979859?locale-attribute=en | |
| format | general | |
| language | English | |
| title | Pipelined Non-strobed Sensing Scheme for Lowering BL Swing in Nano-scale Memories | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8094036 | |
| subject keywords | Monte Carlo methods | |
| subject keywords | photovoltaic power systems | |
| subject keywords | sampling methods | |
| subject keywords | sensitivity analysis | |
| subject keywords | stochastic processes | |
| subject keywords | Monte Carlo sampling | |
| subject keywords | PV system | |
| subject keywords | aggregate uncertainty | |
| subject keywords | cell temperature estimation | |
| subject keywords | effective irradiance models | |
| subject keywords | energy production | |
| subject keywords | measured irradiance translation | |
| subject keywords | model residual analysis | |
| subject keywords | module electrical output calculation | |
| subject keywords | photovoltaic power systems | |
| subject keywords | plane-of-array transposition | |
| subject keywords | power prediction | |
| subject keywords | rank correlations | |
| subject keywords | sensitivity analysis | |
| subject keywords | stochastic process models | |
| subject keywords | uncertainty anal | |
| identifier doi | 10.1109/PVSC.2014.6925511 | |
| journal title | LSI Design and 2014 13th International Conference on Embedded Systems, 2014 27th International Confe | |
| filesize | 426851 | |
| citations | 0 |