The dynamics of red edge parameters at different growth stages of wheat canopy was studied.The red edge position moved to the longer wavelength from erecting stage to heading stage, and returned to the original wavele...The dynamics of red edge parameters at different growth stages of wheat canopy was studied.The red edge position moved to the longer wavelength from erecting stage to heading stage, and returned to the original wavelength direction from grain-filling stage to maturity stage. The leaf total nitrogen content (LTN)is positively related to red edge amplitude (d λ red) and NIR platform amplitude (d λNIRP) and the correlation coefficient improved as growth stage extended. The chlorophyll content (TChl) is negatively related to d λ red from erecting stage to the elongation stage, and positively related to d λ red from heading stage to milky maturity stage. TChl is also positively related to d λNIRP. The leaf area index (LAI) is positively related to d λ red and d λNIRP, and the correlation coefficient improved as growth stage extended. It was concluded that d λ red and d λNIRP can be used as the indicators of winter wheat growth state, and guide the fertilization and irrigation decision making. The λNIRP is suitable for derivation of LTN, the d λ red for TChl, and the d λ red or d λNIRP for LAI.展开更多
The hyperspectral reflectance of the canopy and the leaves on the main stem for six varieties, two each of rice, corn, and cotton crops, were measured at different growth stages with an ASD FieldSpec Pro FRTM to analy...The hyperspectral reflectance of the canopy and the leaves on the main stem for six varieties, two each of rice, corn, and cotton crops, were measured at different growth stages with an ASD FieldSpec Pro FRTM to analyze red edge characteristics for leaf area indices (LAI), aboveground biomass, as well as the chlorophyll, carotenoid, and nitrogen shift' for λr of the leaf spectra for all 3 crops as the development stages progressed. For rice, corn, and cotton the LAI and fresh leaf mass had highly significant correlations (P ＜ 0.01) to the red edge parameters λr, Dλr, and Sr of their canopy spectra. Additionally, for all crops the chlorophyll-a, chlorophyll-b, total chlorophyll, and carotenoid content of the leaves all had highly significant (P ＜ 0.01) correlations to their λr.For rice, the nitrogen content of the leaves in g kg-1 and phytomass for a unit area of land in g m-2 also had a highly significant (P ＜ 0.01) correlation to λr, Dλr, and Sr of the canopy spectra.展开更多
Land cover classification(LCC) in arid regions is of great significance to the assessment, prediction, and management of land desertification. Some studies have shown that the red-edge band of RapidE ye images was eff...Land cover classification(LCC) in arid regions is of great significance to the assessment, prediction, and management of land desertification. Some studies have shown that the red-edge band of RapidE ye images was effective for vegetation identification and could improve LCC accuracy. However, there has been no investigation of the effects of RapidE ye images' red-edge band and vegetation indices on LCC in arid regions where there are spectrally similar land covers mixed with very high or low vegetation coverage information and bare land. This study focused on a typical inland arid desert region located in Dunhuang Basin of northwestern China. First, five feature sets including or excluding the red-edge band and vegetation indices were constructed. Then, a land cover classification system involving plant communities was developed. Finally, random forest algorithm-based models with different feature sets were utilized for LCC. The conclusions drawn were as follows: 1) the red-edge band showed slight contribution to LCC accuracy; 2) vegetation indices had a significant positive effect on LCC; 3) simultaneous addition of the red-edge band and vegetation indices achieved a significant overall accuracy improvement(3.46% from 86.67%). In general, vegetation indices had larger effect than the red-edge band, and simultaneous addition of them significantly increased the accuracy of LCC in arid regions.展开更多
Large-scale field shear tests on ten specimens of the red-sandstone embankment at a highway in Hunan,China,were performed to examine mechanical characteristics and parameters of red-sandstone.The curves of thrust-disp...Large-scale field shear tests on ten specimens of the red-sandstone embankment at a highway in Hunan,China,were performed to examine mechanical characteristics and parameters of red-sandstone.The curves of thrust-displacement,failure mode,and shear strength parameters for red-sandstone with different water contents,different compactions,and different grain size distributions were obtained from the tests.A practical procedure of in-situ test for red-sandstone embankment was proposed to normalize the test equipment and test steps.Based on three-dimensional thrust-sliding limit equilibrium method,the formulas for calculating strength parameters of red-sandstone considering three-dimensional sliding surface were inferred.The results show that red-sandstone has typical complete curves of stress-strain,strain softening,which are caused by the special structure of red-sandstone;water content and compaction are important factors for strength and failure mode of red-sandstone;The average value of cohesion and internal friction angle of the specimens calculated by three-dimensional technique are 21.56 kPa and 29.29°,respectively,and those by traditional two-dimensional method are 25.52 kPa and 33.76°,respectively.展开更多
Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-...Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-based data center.Smart city benefitted from offloading to edge point.Consider a mobile edge computing(MEC)network in multiple regions.They comprise N MDs and many access points,in which everyMDhasM independent real-time tasks.This study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization(TORA-DLSGO)algorithm.The proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,which enables an optimum offloading decision to minimize the system cost.In addition,an objective function is derived based on minimizing energy consumption subject to the latency requirements and restricted resources.The TORA-DLSGO technique uses the deep belief network(DBN)model for optimum offloading decision-making.Finally,the SGO algorithm is used for the parameter tuning of the DBN model.The simulation results exemplify that the TORA-DLSGO technique outperformed the existing model in reducing client overhead in the MEC systems with a maximum reward of 0.8967.展开更多
Objective: To investigate effect of aerobic exercise training combined with conventional drug on red blood cell parameters, vascular endothelial function and cardiac function in elderly patients with coronary heart di...Objective: To investigate effect of aerobic exercise training combined with conventional drug on red blood cell parameters, vascular endothelial function and cardiac function in elderly patients with coronary heart disease complicated with chronic heart failure. Methods: A total of 110 elderly patients with coronary heart disease and chronic heart failure according to random data table were divided into control group (n=54) and observation group (n=56). The patients in control group were treated with conventional drug, and patients in the observation group received conventional drug combined with aerobic exercise training. Before and after treatment, levels of red blood cell parameters, vascular endothelial function and cardiac function indexes were compared between the two groups. Results: Before treatment, the difference of HCT, RDW, RBC, NO, ET-1, LVEF, LVEDD and LVESD levels in the two groups were not significantly. After treatment, HCT and RBC levels in two groups were no statistically significant difference;The levels of RDW, ET-1, LVEDD and LVESD in observation group were significantly lower than those in this group before treatment, and significantly lower than those in the control group after treatment;The levels of NO and LVEF in two groups were significantly higher than those in the group before treatment, and levels of NO and LVEF in the observation group were significantly higher than those in control group after treatment. Conclusion: The clinical effect of aerobic exercise training combined with conventional drug in treatment of senile coronary heart disease with chronic heart failure was significant, which can effectively increase the RDW level of patients, improve vascular endothelial function and heart function, it has important clinical value.展开更多
基金supported by the Hi-Tech Demonstration Project of China National Planning Commitee(A00300100584)National Major Basic Research Project(G2000077907).
文摘The dynamics of red edge parameters at different growth stages of wheat canopy was studied.The red edge position moved to the longer wavelength from erecting stage to heading stage, and returned to the original wavelength direction from grain-filling stage to maturity stage. The leaf total nitrogen content (LTN)is positively related to red edge amplitude (d λ red) and NIR platform amplitude (d λNIRP) and the correlation coefficient improved as growth stage extended. The chlorophyll content (TChl) is negatively related to d λ red from erecting stage to the elongation stage, and positively related to d λ red from heading stage to milky maturity stage. TChl is also positively related to d λNIRP. The leaf area index (LAI) is positively related to d λ red and d λNIRP, and the correlation coefficient improved as growth stage extended. It was concluded that d λ red and d λNIRP can be used as the indicators of winter wheat growth state, and guide the fertilization and irrigation decision making. The λNIRP is suitable for derivation of LTN, the d λ red for TChl, and the d λ red or d λNIRP for LAI.
基金Project supported by the National Natural Science Foundation of China (Nos. 40171065 and 40271078) the National '863' Project of China (Nos. 2002AA243011 and 2002AA130010).
文摘The hyperspectral reflectance of the canopy and the leaves on the main stem for six varieties, two each of rice, corn, and cotton crops, were measured at different growth stages with an ASD FieldSpec Pro FRTM to analyze red edge characteristics for leaf area indices (LAI), aboveground biomass, as well as the chlorophyll, carotenoid, and nitrogen shift' for λr of the leaf spectra for all 3 crops as the development stages progressed. For rice, corn, and cotton the LAI and fresh leaf mass had highly significant correlations (P ＜ 0.01) to the red edge parameters λr, Dλr, and Sr of their canopy spectra. Additionally, for all crops the chlorophyll-a, chlorophyll-b, total chlorophyll, and carotenoid content of the leaves all had highly significant (P ＜ 0.01) correlations to their λr.For rice, the nitrogen content of the leaves in g kg-1 and phytomass for a unit area of land in g m-2 also had a highly significant (P ＜ 0.01) correlation to λr, Dλr, and Sr of the canopy spectra.
基金Under the auspices of Fundamental Research Funds for Central Universities,China University of Geosciences(Wuhan)(No.CUGL150417)National Natural Science Foundation of China(No.41274036,41301026)
文摘Land cover classification(LCC) in arid regions is of great significance to the assessment, prediction, and management of land desertification. Some studies have shown that the red-edge band of RapidE ye images was effective for vegetation identification and could improve LCC accuracy. However, there has been no investigation of the effects of RapidE ye images' red-edge band and vegetation indices on LCC in arid regions where there are spectrally similar land covers mixed with very high or low vegetation coverage information and bare land. This study focused on a typical inland arid desert region located in Dunhuang Basin of northwestern China. First, five feature sets including or excluding the red-edge band and vegetation indices were constructed. Then, a land cover classification system involving plant communities was developed. Finally, random forest algorithm-based models with different feature sets were utilized for LCC. The conclusions drawn were as follows: 1) the red-edge band showed slight contribution to LCC accuracy; 2) vegetation indices had a significant positive effect on LCC; 3) simultaneous addition of the red-edge band and vegetation indices achieved a significant overall accuracy improvement(3.46% from 86.67%). In general, vegetation indices had larger effect than the red-edge band, and simultaneous addition of them significantly increased the accuracy of LCC in arid regions.
基金Project(200612) supported by Hunan Province Transportation Department of China
文摘Large-scale field shear tests on ten specimens of the red-sandstone embankment at a highway in Hunan,China,were performed to examine mechanical characteristics and parameters of red-sandstone.The curves of thrust-displacement,failure mode,and shear strength parameters for red-sandstone with different water contents,different compactions,and different grain size distributions were obtained from the tests.A practical procedure of in-situ test for red-sandstone embankment was proposed to normalize the test equipment and test steps.Based on three-dimensional thrust-sliding limit equilibrium method,the formulas for calculating strength parameters of red-sandstone considering three-dimensional sliding surface were inferred.The results show that red-sandstone has typical complete curves of stress-strain,strain softening,which are caused by the special structure of red-sandstone;water content and compaction are important factors for strength and failure mode of red-sandstone;The average value of cohesion and internal friction angle of the specimens calculated by three-dimensional technique are 21.56 kPa and 29.29°,respectively,and those by traditional two-dimensional method are 25.52 kPa and 33.76°,respectively.
基金supported by the Technology Development Program of MSS(No.S3033853).
文摘Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-based data center.Smart city benefitted from offloading to edge point.Consider a mobile edge computing(MEC)network in multiple regions.They comprise N MDs and many access points,in which everyMDhasM independent real-time tasks.This study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization(TORA-DLSGO)algorithm.The proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,which enables an optimum offloading decision to minimize the system cost.In addition,an objective function is derived based on minimizing energy consumption subject to the latency requirements and restricted resources.The TORA-DLSGO technique uses the deep belief network(DBN)model for optimum offloading decision-making.Finally,the SGO algorithm is used for the parameter tuning of the DBN model.The simulation results exemplify that the TORA-DLSGO technique outperformed the existing model in reducing client overhead in the MEC systems with a maximum reward of 0.8967.
文摘Objective: To investigate effect of aerobic exercise training combined with conventional drug on red blood cell parameters, vascular endothelial function and cardiac function in elderly patients with coronary heart disease complicated with chronic heart failure. Methods: A total of 110 elderly patients with coronary heart disease and chronic heart failure according to random data table were divided into control group (n=54) and observation group (n=56). The patients in control group were treated with conventional drug, and patients in the observation group received conventional drug combined with aerobic exercise training. Before and after treatment, levels of red blood cell parameters, vascular endothelial function and cardiac function indexes were compared between the two groups. Results: Before treatment, the difference of HCT, RDW, RBC, NO, ET-1, LVEF, LVEDD and LVESD levels in the two groups were not significantly. After treatment, HCT and RBC levels in two groups were no statistically significant difference;The levels of RDW, ET-1, LVEDD and LVESD in observation group were significantly lower than those in this group before treatment, and significantly lower than those in the control group after treatment;The levels of NO and LVEF in two groups were significantly higher than those in the group before treatment, and levels of NO and LVEF in the observation group were significantly higher than those in control group after treatment. Conclusion: The clinical effect of aerobic exercise training combined with conventional drug in treatment of senile coronary heart disease with chronic heart failure was significant, which can effectively increase the RDW level of patients, improve vascular endothelial function and heart function, it has important clinical value.
