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| 1 | Shift control method for the local time at descendi ngnode based on sun-synchronous orbit satellite显示文摘This article analyzes the shift factors of the descending node local time for sun-synchronous satellites and proposes a shift control method to keep the local time shift within an allowance range. It is found that the satellite orbit design and the orbit injection deviation are the causes for the initial shift velocity, whereas the atmospheric drag and the sun gravitational perturbation produce the shift acceleration. To deal with these shift factors, a shift control method is put forward, through such methods as orbit variation design, orbit altitude, and inclination keeping control. The simulation experiment and practical application have proved the effectiveness of this control method. | Yang Yong'an Feng Zuren Sun Linyan Tan Wei | 2009 | Journal of Systems Engineering and Electronics2009，20，1： | 5 |
| 2 | The effects of customer and supplier involvement on competitive advantage: An empirical study in China显示文摘 | Taiwen Feng Linyan Sun Ying Zhang | 2010 | Industrial Marketing Management2010，，： | 1 |
| 3 | The effects of customer and supplier involvement on competitive ad- vantage : An empirical study in China 显示文摘 | Feng Taiwen Sun Linyan Zhang Ying | 2010 | Industrial Marketing Management2010，39，8： | 1 |
| 4 | The effects of customer and supplier involvement on competitive advantage: An empirical study in China 显示文摘 | Taiwen Feng Linyan Sun Ying Zhang | 2010 | Industrial Marketing Management2010，，39： | 1 |
| 5 | The Relationship between Energy Consumption Structure, Economic Structure and Energy Intensity in China 显示文摘 | Feng Taiwen Sun Linyan | 2009 | Energy Policy2009，37，12： | 1 |
| 6 | The Relationship Between Energy Consumption Structure, Economic Structure and Energy Intensity in China显示文摘 | Taiwen Feng Linyan Sun Ying Zhang | 2009 | Energy Policy2009，37，12： | 1 |
| 7 | The relationship between energy consumption structure, economic structure and energy intensity in China显示文摘 | Taiwen Feng Linyan Sun Ying Zhang | 2009 | Energy Policy2009，37，12： | 1 |
| 8 | The relationship between energy consumption structure, economic structure and energy in- tensity in China显示文摘 | Taiwen Feng Linyan Sun Ying Zhang | 2009 | Energy Policy2009，37，12： | 1 |
| 9 | How to reduce energy intensity in China: A regional comparison perspective显示文摘 | Yi Li Linyan Sun Taiwen Feng Chunyan Zhu | 2013 | Energy Policy2013，，： | 1 |
| 10 | The evolutionary complexity of complex adaptive supply networks: A simulation and case study显示文摘 | Gang Li Hongjiao Yang Linyan Sun Ping Ji Lei Feng | 2009 | International Journal of Production Economics2009，，2： | 1 |
| 11 | The relationship be- tween energy consumption structure, economic structure and energy intensity in China显示文摘 | Feng Taiwen Sun Linyan Zhang Ying | 2009 | Energy Policy2009，37，12： | 1 |
| 12 | The relationship between energy consumption structure, economic structure and energy intensity in China显示文摘 | FENG Taiwen SUN Linyan ZHANG Ying | 2009 | Energy Policy2009，37，12： | 1 |
| 13 | Geochemical characteristics of temperature and pressure of Paleozoic reservoir fluid inclusions in Xuanjing region, Lower Yangtze area显示文摘In order to understand the geochemical characteristics of Paleozoic reservoir fluids in Xuanjing region,Lower Yangtze area,drilling core samples from Y and D wells were tested and analyzed to study the fluid inclusion types and composition.Pressure correction was undertaken to determine the temperature and pressure environment for inclusion formation,and the influence of fluid characteristics of the Upper Permian and Lower Triassic reservoirs on the preservation of shale gas was investigated.According to petrograph-ic observations,fluid inclusions are mainly brine and bitumen inclusions.Bitumen inclusions are mainly distributed in holes and fractures,and with smaller individuals.No visible fluorescence was observed,and the vitrinite reflectance is 3.39%–3.92%.This indicates that there had been oil and gas accumulation in the early stage of diagenesis in the study area,but due to the influence of magmatic hydrothermal solution,oil and gas underwent thermal metamorphism in the early stage,making liquid petroleum into solid bitumen.At present,oil and gas in the reservoir were largely formed in the late stage.During the continuous process in which shale was buried,light oil and gas were generated.Light oil and gas underwent magmatic and tectonic hydrothermal processes in some areas,resulting in high-temperature metamorphic cracking that formed dry gas.Moreover,nitrogen inclusions are found in fluid inclusions,forming metamorphic fluids caused by mag-matic hydrothermal activities.The study shows that Paleozoic reservoirs in Xuanjing area are characterized by self-generation and self-storage.Furthermore,the mechanism of shale gas accumulation is not only related to the buried hydrocarbon generation process of shale itself,but is also related to later magmatic activity and tectonic hydrothermal transformation.Therefore,preservation conditions are generally key factors of shale gas accumulation in this area. | DONG Min LIANG Minliang DONG Hui FENG Xingqiang ZHANG Linyan WANG Zongxiu | 2023 | Global Geology2023，26，4： | 0 |
| 14 | Prediction of tree crown width in natural mixed forests using deep learning algorithm显示文摘Crown width(CW)is one of the most important tree metrics,but obtaining CW data is laborious and timeconsuming,particularly in natural forests.The Deep Learning(DL)algorithm has been proposed as an alternative to traditional regression,but its performance in predicting CW in natural mixed forests is unclear.The aims of this study were to develop DL models for predicting tree CW of natural spruce-fir-broadleaf mixed forests in northeastern China,to analyse the contribution of tree size,tree species,site quality,stand structure,and competition to tree CW prediction,and to compare DL models with nonlinear mixed effects(NLME)models for their reliability.An amount of total 10,086 individual trees in 192 subplots were employed in this study.The results indicated that all deep neural network(DNN)models were free of overfitting and statistically stable within 10-fold cross-validation,and the best DNN model could explain 69%of the CW variation with no significant heteroskedasticity.In addition to diameter at breast height,stand structure,tree species,and competition showed significant effects on CW.The NLME model(R^(2)=0.63)outperformed the DNN model(R^(2)=0.54)in predicting CW when the six input variables were consistent,but the results were the opposite when the DNN model(R^(2)=0.69)included all 22 input variables.These results demonstrated the great potential of DL in tree CW prediction. | Yangping Qin Biyun Wu Xiangdong Lei Linyan Feng | 2023 | Forest Ecosystems2023，10，3： | 0 |
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