A study of the road traffic condition identification algorithm based on cloud model
| contributor author | Xiang, Huai-kun | |
| date accessioned | 2020-03-12T21:00:22Z | |
| date available | 2020-03-12T21:00:22Z | |
| date issued | 2014 | |
| identifier other | 6920325.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1033652?locale-attribute=en&show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A study of the road traffic condition identification algorithm based on cloud model | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8159436 | |
| subject keywords | Conductivity | |
| subject keywords | Grounding | |
| subject keywords | Lightning | |
| subject keywords | Soil | |
| subject keywords | Steady-state | |
| subject keywords | Wind turbines | |
| subject keywords | Wires | |
| subject keywords | FDTD method | |
| subject keywords | Lightning | |
| subject keywords | voltage rise | |
| subject keywords | wind turbine grounding | |
| identifier doi | 10.1109/ICECE.2014.7026873 | |
| journal title | nformation Science and Technology (ICIST), 2014 4th IEEE International Conference on | |
| filesize | 232295 | |
| citations | 0 |
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