Overview of Hodoyoshi microsatellites for remote sensing and its future prospect
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سال
: 2014شناسه الکترونیک: 10.1109/ICECI.2014.6767383
کلیدواژه(گان): MOSFET,n semiconductor device models,n semiconductor doping,n DDC MOS transistor,n TCAD simulation,n bulk MOS transistor,n deeply depleted channel MOSFET,n doped transistor,n threshold voltage modeling,n Analytical models,n MOSFET,n Mathematical model,n Predictive models,n Simulation,n Threshold voltage,n DDC,n Depletion depth,n Doping,n Intrinsic gain,n Surface potential,n T<,inf>,V<,/inf>,variation
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Overview of Hodoyoshi microsatellites for remote sensing and its future prospect
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contributor author | Maeda, K. | |
contributor author | Nakasuka, S. | |
date accessioned | 2020-03-12T21:33:40Z | |
date available | 2020-03-12T21:33:40Z | |
date issued | 2014 | |
identifier other | 6947269.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1052851 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Overview of Hodoyoshi microsatellites for remote sensing and its future prospect | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8183098 | |
subject keywords | MOSFET | |
subject keywords | n semiconductor device models | |
subject keywords | n semiconductor doping | |
subject keywords | n DDC MOS transistor | |
subject keywords | n TCAD simulation | |
subject keywords | n bulk MOS transistor | |
subject keywords | n deeply depleted channel MOSFET | |
subject keywords | n doped transistor | |
subject keywords | n threshold voltage modeling | |
subject keywords | n Analytical models | |
subject keywords | n MOSFET | |
subject keywords | n Mathematical model | |
subject keywords | n Predictive models | |
subject keywords | n Simulation | |
subject keywords | n Threshold voltage | |
subject keywords | n DDC | |
subject keywords | n Depletion depth | |
subject keywords | n Doping | |
subject keywords | n Intrinsic gain | |
subject keywords | n Surface potential | |
subject keywords | n T< | |
subject keywords | inf> | |
subject keywords | V< | |
subject keywords | /inf> | |
subject keywords | variation | |
identifier doi | 10.1109/ICECI.2014.6767383 | |
journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
filesize | 260330 | |
citations | 0 |