5篇
您的检索式：作者名="CHANG ChenWei"
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| 1 | Single-run electrochemical determination of melamine in dairy products and pet foods 显示文摘 | Liao Chenwei Chen Yueru Chang Jenlin | 2011 | Journal of Agricultural and Food Chemistry2011，59，： | 1 |
| 2 | A sensitive electro- chemical approach for melamine detection using a disposable screen printed carbon electrode显示文摘 | LIAO Chenwei CHEN Yueru CHANG Jenlin | 2011 | Electroanalysis2011，23，3： | 1 |
| 3 | Epidural motor cortex stimulation suppresses somatosensory evoked potentials in the primary somatosensory cortex of the rat显示文摘 | Chiou RJ Lee HY Chang Chenwei | 2012 | Brain Research2012，1463，： | 1 |
| 4 | Bias Correction and Ensemble Projections of Temperature Changes over Ten Subregions in CORDEX East Asia显示文摘Regional climate models(RCMs)participating in the Coordinated Regional Downscaling Experiment(CORDEX)have been widely used for providing detailed climate change information for specific regions under different emissions scenarios.This study assesses the effects of three common bias correction methods and two multi-model averaging methods in calibrating historical(1980−2005)temperature simulations over East Asia.Future(2006−49)temperature trends under the Representative Concentration Pathway(RCP)4.5 and 8.5 scenarios are projected based on the optimal bias correction and ensemble averaging method.Results show the following:(1)The driving global climate model and RCMs can capture the spatial pattern of annual average temperature but with cold biases over most regions,especially in the Tibetan Plateau region.(2)All bias correction methods can significantly reduce the simulation biases.The quantile mapping method outperforms other bias correction methods in all RCMs,with a maximum relative decrease in root-mean-square error for five RCMs reaching 59.8%(HadGEM3-RA),63.2%(MM5),51.3%(RegCM),80.7%(YSU-RCM)and 62.0%(WRF).(3)The Bayesian model averaging(BMA)method outperforms the simple multi-model averaging(SMA)method in narrowing the uncertainty of bias-corrected results.For the spatial correlation coefficient,the improvement rate of the BMA method ranges from 2%to 31%over the 10 subregions,when compared with individual RCMs.(4)For temperature projections,the warming is significant,ranging from 1.2°C to 3.5°C across the whole domain under the RCP8.5 scenario.(5)The quantile mapping method reduces the uncertainty over all subregions by between 66%and 94%. | Chenwei SHEN Qingyun DUAN Chiyuan MIAO Chang XING Xuewei FAN Yi WU Jingya HAN | 2020 | Advances in Atmospheric Sciences2020，37，11： | 0 |
| 5 | A novel structural modeling and analysis of VLSI interconnect with an RLC tree network system using a BG/SEBD approach显示文摘A practical and effective novel graphical structural modeling and analysis approach is presented.This approach is used for solving the state interactions modeling problem caused by the model approximations in VLSI interconnect for RLC tree network systems.The bond graph (BG) energy model with a simulink energy-based block diagram (SEBD) algorithm is developed.The dynamic behaviors of an example of VLSI interconnect with a 20th-order RLC tree are presented.Methods of sequent structuring and the delineation of dynamic interactions can be provided for users applying the BG/SEBD algorithms in the development of structural models.It is shown that the new BG/SEBD structural modeling approach requires neither mathematical higher-order reduction nor physically based model reduction.Therefore,useful information can be extracted from the BG/SEBD representation of physical RLC tree network systems.Both time-domain and frequency-domain simulation results are applied to analyze the dynamic response of energy-storing elements using BG/SEBD algorithm combined with Matlab/Simulink software.Finally,a causal analysis of the system zeros plot from the shortest causal path method is proposed,to predict the dynamic response of energy-storing elements and the system performance for design and verification purposes.The dynamic response outputs from different node points were revealed,and the obtained physical information is significant which suggests feasible directions for design (re-design) improvement toward better overall system performance. | CHANG RueyFong KAO WenShiow CHANG ChenWei TSENG KuoHsiung HUANG ShihYing | 2011 | Science China(Information Sciences)2011，54，9： | 0 |
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