@article{XuCaoTianetal.2014,
  author    = {Xu, QingHai and Cao, Xianyong and Tian, Fang and Zhang, ShengRui and Li, YueCong and Li, ManYue and Li, Jie and Liu, YaoLiang and Liang, Jian},
  title     = {Relative pollen productivities of typical steppe species in northern China and their potential in past vegetation reconstruction},
  series = {Science China},
  volume    = {57},
  journal   = {Science China},
  number    = {6},
  publisher = {Science China Press},
  address   = {Beijing},
  issn      = {1674-7313},
  doi       = {10.1007/s11430-013-4738-7},
  pages     = {1254 -- 1266},
  year      = {2014},
  abstract  = {The Relative Pollen Productivities (RPPs) of common steppe species are estimated using Extended R-value (ERV) model based on pollen analysis and vegetation survey of 30 surface soil samples from typical steppe area of northern China. Artemisia, Chenopodiaceae, Poaceae, Cyperaceae, and Asteraceae are the dominant pollen types in pollen assemblages, reflecting the typical steppe communities well. The five dominant pollen types and six common types (Thalictrum, Iridaceae, Potentilla, Ephedra, Brassicaceae, and Ulmus) have strong wind transport abilities; the estimated Relevant Source Area of Pollen (RSAP) is ca. 1000 m when the sediment basin radius is set at 0.5 m. Ulmus, Artemisia, Brassicaceae, Chenopodiaceae, and Thalictrum have relative high RPPs; Poaceae, Cyperaceae, Potentilla, and Ephedra pollen have moderate RPPs; Asteraceae and Iridaceae have low RPPs. The reliability test of RPPs revealed that most of the RPPs are reliable in past vegetation reconstruction. However, the RPPs of Asteraceae and Iridaceae are obviously underestimated, and those of Poaceae, Chenopodiaceae, and Ephedra are either slightly underestimated or slightly overestimated, suggesting that those RPPs should be considered with caution. These RPPs were applied to estimating plant abundances for two fossil pollen spectra (from the Lake Bayanchagan and Lake Haoluku) covering the Holocene in typical steppe area, using the "Regional Estimates of Vegetation Abundance from Large Sites" (REVEALS) model. The RPPs-based vegetation reconstruction revealed that meadow-steppe dominated by Poaceae, Cyperaceae, and Artemisia plants flourished in this area before 6500-5600 cal yr BP, and then was replaced by present typical steppe.},
  language  = {en}
}
@article{TuWangLiu2016,
  author    = {Tu, Rui and Wang, L. and Liu, Z.},
  title     = {Real time monitoring ground motion using GPS with real time corrections},
  series = {Survey Review},
  volume    = {48},
  journal   = {Survey Review},
  publisher = {Wiley},
  address   = {Abingdon},
  issn      = {0039-6265},
  doi       = {10.1179/1752270614Y.0000000141},
  pages     = {79 -- 85},
  year      = {2016},
  abstract  = {The high rate GPS velocity determination technology which is based on the broadcast ephemeris and epoch differenced model can retrieve displacement of ground motion with the precision of a few centimetres to decimetres in real time. Moreover, the precision of the recovered displacement can be improved if the un-modelled errors such as broadcast ephemeris residuals, atmospheric residuals, multipath effects and high frequency noise are tackled more accurately. In this paper, we propose a method to improve the precision of the recovered displacement by appropriately making use of reference station corrections. For the reference stations, the coordinates are highly constrained to extract the error corrections that are to be broadcast via a communication link to the rover. After correcting the rover's observations, some errors such as ephemeris residuals and atmospheric residuals are effectively eliminated or at least reduced. This improves the accuracy of the observations and thus enhances the reliability of the velocity estimation. The displacement can be recovered by integrating the estimated velocity after de-trending using a linear trend that is caused by the un-corrected residuals. The series of validation results in the experiment have shown that the displacement of the simulated motion can be real time recovered with a precision of 1-2 cm, and is thus applicable for real time monitoring of the ground motion.},
  language  = {en}
}
@article{LiChenNofaletal.2018,
  author    = {Li, Yuanqing and Chen, Li and Nofal, Issam and Chen, Mo and Wang, Haibin and Liu, Rui and Chen, Qingyu and Krstić, Miloš and Shi, Shuting and Guo, Gang and Baeg, Sang H. and Wen, Shi-Jie and Wong, Richard},
  title     = {Modeling and analysis of single-event transient sensitivity of a 65 nm clock tree},
  series = {Microelectronics reliability},
  volume    = {87},
  journal   = {Microelectronics reliability},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0026-2714},
  doi       = {10.1016/j.microrel.2018.05.016},
  pages     = {24 -- 32},
  year      = {2018},
  abstract  = {The soft error rate (SER) due to heavy-ion irradiation of a clock tree is investigated in this paper. A method for clock tree SER prediction is developed, which employs a dedicated soft error analysis tool to characterize the single-event transient (SET) sensitivities of clock inverters and other commercial tools to calculate the SER through fault-injection simulations. A test circuit including a flip-flop chain and clock tree in a 65 nm CMOS technology is developed through the automatic ASIC design flow. This circuit is analyzed with the developed method to calculate its clock tree SER. In addition, this circuit is implemented in a 65 nm test chip and irradiated by heavy ions to measure its SER resulting from the SETs in the clock tree. The experimental and calculation results of this case study present good correlation, which verifies the effectiveness of the developed method.},
  language  = {en}
}