水稻是主要的粮食作物,对其生长发育过程中叶绿素含量进行精准监测,在指导田间管理方面具有十分重要的意义。叶片辐射传输模型能够有效地模拟水稻叶片光谱信息,描述叶片各参数对光谱反射率的影响,具有较强的机理性,可作为基于物理驱动...水稻是主要的粮食作物,对其生长发育过程中叶绿素含量进行精准监测,在指导田间管理方面具有十分重要的意义。叶片辐射传输模型能够有效地模拟水稻叶片光谱信息,描述叶片各参数对光谱反射率的影响,具有较强的机理性,可作为基于物理驱动方式反演水稻叶片叶绿素含量的重要机理模型。PIOSL(PROSPECT consider the internal optical structure of the leaves)模型假设叶片内部是由两层不同的光学特性层叠加而成,其叶片内部结构的假设更加符合植物的实际生长状况。为了验证PIOSL模型反演水稻叶片叶绿素的可行性,并为作物理化参量反演提供新思路,该研究利用此模型对水稻叶片叶绿素含量开展反演研究。首先利用PIOSL模型构建查找表,筛选查找表中与实测光谱较为接近的模拟样本数据,利用SVM(support vector machine)构建分类预测模型,判定查找表中随机生成的参数组合是否符合叶片实际情况,并构建新的查找表数据集。将改进后的查找表按7:3的比例随机拆分为训练集和测试集,通过WOAELM(whale optimization algorithm,WOA;extreme learning machine,ELM)模型反演水稻叶片叶绿素含量。结果表明:基于PIOSL-WOA-ELM构建的反演模型,模型R2和RMSE分别为0.977和2.356μg/cm^(2),与PROSPECT-WOA-ELM模型的反演精度均在0.9以上,且优于传统的多元回归模型。由此看来,利用PIOSL-WOA-ELM模型对水稻叶片叶绿素含量进行反演是可行的,可为精准反演水稻叶绿素在叶片中的分布提供新的思路,进而科学有效地开展田间管理。展开更多
生物学肥力是土壤肥力的重要构成部分,能够指示生态恢复措施下沙化草地的土壤质量变化。以围栏禁牧草本模式(enclosure plus grass,EG)、围栏禁牧灌草间作模式(enclosure intercropping shrub-grass,ESG)和围栏禁牧沙障+灌草间作模式(en...生物学肥力是土壤肥力的重要构成部分,能够指示生态恢复措施下沙化草地的土壤质量变化。以围栏禁牧草本模式(enclosure plus grass,EG)、围栏禁牧灌草间作模式(enclosure intercropping shrub-grass,ESG)和围栏禁牧沙障+灌草间作模式(enclosure plus sand-barrier and shrub-grass,ESSG)3种恢复地为研究对象,以未恢复的沙化草地(desertification grassland without restoration,CK)为对照,采用调查采样法、综合评价法研究生态恢复措施及年限对沙化草地土壤微生物数量、微生物生物量及酶活性的影响。结果表明,3种恢复模式提高了沙化草地土壤中各项生物学肥力指标,ESSG模式下土壤质量的恢复效果最优,生物学肥力指数(biological fertility index,BFI)分别显著高出EG和ESG模式41.5%和43.1%(P<0.05)。EG和ESG模式下,土壤各项生物学肥力指标随恢复年限的增加而增加,≤5、7～9和≥15a恢复地的BFI值均显著高于未恢复地(0年)(P<0.05),且≥15a的恢复地又显著高于≤5和7～9a恢复地(P<0.05)。因此,在本研究的时间范围内,时间越长生态措施下土壤质量的恢复效果越好,但其最佳恢复期有待进一步研究确定。展开更多
This paper analyzes the threat of TCG Software Stack(TSS)/TCM Service Module(TSM) deadlock in multi-user environment such as cloud and discusses its causes and mechanism.In addition,this paper puts forward a dynamic p...This paper analyzes the threat of TCG Software Stack(TSS)/TCM Service Module(TSM) deadlock in multi-user environment such as cloud and discusses its causes and mechanism.In addition,this paper puts forward a dynamic priority task scheduling strategy based on value evaluation to handle this threat.The strategy is based on the implementation features of trusted hardware and establishes a multi-level ready queue.In this strategy,an algorithm for real-time value computing is also designed,and it can adjust the production curves of the real time value by setting parameters in different environment,thus enhancing its adaptability,which is followed by scheduling and algorithm description.This paper also implements the algorithm and carries out its performance optimization.Due to the experiment result from Intel NUC,it is shown that TSS based on advanced DPTSV is able to solve the problem of deadlock with no negative influence on performance and security in multi-user environment.展开更多
The interface between Au and support has attracted extensive interest because of its unique catalytic ability for hydrogen activation in catalytic hydrogenation/hydrogenolysis reactions.Herein,we create the Au-CoO-OV ...The interface between Au and support has attracted extensive interest because of its unique catalytic ability for hydrogen activation in catalytic hydrogenation/hydrogenolysis reactions.Herein,we create the Au-CoO-OV interface in the 1.0%Au/Co3O4-Rod-250 catalyst,which could dissociate H2 via the heterolytic way to yield rich hydride species and achieve excellent catalytic performance in the hydrogenolysis of biomass-derived 5-hydroxymethylfurfural(HMF)to 2,5-dimethylfuran(DMF).The XRD and HRTEM analyses show that Au nanoparticles are uniformly dispersed on CoO-OV surface and in situ DRIFTS spectra show the enhancement of heterolytic dissociation of hydrogen(signals of Au-D and O-D vibration)compared with bare CoO(Co3O4-Rod-250).This work provides insights for fabricating highly active Au-support catalysts for catalytic hydrogenation/hydrogenolysis reactions.展开更多
文摘水稻是主要的粮食作物,对其生长发育过程中叶绿素含量进行精准监测,在指导田间管理方面具有十分重要的意义。叶片辐射传输模型能够有效地模拟水稻叶片光谱信息,描述叶片各参数对光谱反射率的影响,具有较强的机理性,可作为基于物理驱动方式反演水稻叶片叶绿素含量的重要机理模型。PIOSL(PROSPECT consider the internal optical structure of the leaves)模型假设叶片内部是由两层不同的光学特性层叠加而成,其叶片内部结构的假设更加符合植物的实际生长状况。为了验证PIOSL模型反演水稻叶片叶绿素的可行性,并为作物理化参量反演提供新思路,该研究利用此模型对水稻叶片叶绿素含量开展反演研究。首先利用PIOSL模型构建查找表,筛选查找表中与实测光谱较为接近的模拟样本数据,利用SVM(support vector machine)构建分类预测模型,判定查找表中随机生成的参数组合是否符合叶片实际情况,并构建新的查找表数据集。将改进后的查找表按7:3的比例随机拆分为训练集和测试集,通过WOAELM(whale optimization algorithm,WOA;extreme learning machine,ELM)模型反演水稻叶片叶绿素含量。结果表明:基于PIOSL-WOA-ELM构建的反演模型,模型R2和RMSE分别为0.977和2.356μg/cm^(2),与PROSPECT-WOA-ELM模型的反演精度均在0.9以上,且优于传统的多元回归模型。由此看来,利用PIOSL-WOA-ELM模型对水稻叶片叶绿素含量进行反演是可行的,可为精准反演水稻叶绿素在叶片中的分布提供新的思路,进而科学有效地开展田间管理。
文摘生物学肥力是土壤肥力的重要构成部分,能够指示生态恢复措施下沙化草地的土壤质量变化。以围栏禁牧草本模式(enclosure plus grass,EG)、围栏禁牧灌草间作模式(enclosure intercropping shrub-grass,ESG)和围栏禁牧沙障+灌草间作模式(enclosure plus sand-barrier and shrub-grass,ESSG)3种恢复地为研究对象,以未恢复的沙化草地(desertification grassland without restoration,CK)为对照,采用调查采样法、综合评价法研究生态恢复措施及年限对沙化草地土壤微生物数量、微生物生物量及酶活性的影响。结果表明,3种恢复模式提高了沙化草地土壤中各项生物学肥力指标,ESSG模式下土壤质量的恢复效果最优,生物学肥力指数(biological fertility index,BFI)分别显著高出EG和ESG模式41.5%和43.1%(P<0.05)。EG和ESG模式下,土壤各项生物学肥力指标随恢复年限的增加而增加,≤5、7～9和≥15a恢复地的BFI值均显著高于未恢复地(0年)(P<0.05),且≥15a的恢复地又显著高于≤5和7～9a恢复地(P<0.05)。因此,在本研究的时间范围内,时间越长生态措施下土壤质量的恢复效果越好,但其最佳恢复期有待进一步研究确定。
基金supported by the State Key Program of National Natural Science Foundation of China(Grant No.91118003)the National Natural Science Foundation of China(Grant No.61173138,61272452,61332019)+1 种基金the National Basic Research Program of China("973"Program)(Grant No.2014CB340600)the National High-Tech Research and Development Program of China("863"Program)(Grant No.2015AA016002)
文摘This paper analyzes the threat of TCG Software Stack(TSS)/TCM Service Module(TSM) deadlock in multi-user environment such as cloud and discusses its causes and mechanism.In addition,this paper puts forward a dynamic priority task scheduling strategy based on value evaluation to handle this threat.The strategy is based on the implementation features of trusted hardware and establishes a multi-level ready queue.In this strategy,an algorithm for real-time value computing is also designed,and it can adjust the production curves of the real time value by setting parameters in different environment,thus enhancing its adaptability,which is followed by scheduling and algorithm description.This paper also implements the algorithm and carries out its performance optimization.Due to the experiment result from Intel NUC,it is shown that TSS based on advanced DPTSV is able to solve the problem of deadlock with no negative influence on performance and security in multi-user environment.
基金the National Natural Science Foundation of China(No.21832002)the Fund of the Science and Technology Commission of Shanghai Municipality,China(STCSM,No.10dz2220500).
文摘The interface between Au and support has attracted extensive interest because of its unique catalytic ability for hydrogen activation in catalytic hydrogenation/hydrogenolysis reactions.Herein,we create the Au-CoO-OV interface in the 1.0%Au/Co3O4-Rod-250 catalyst,which could dissociate H2 via the heterolytic way to yield rich hydride species and achieve excellent catalytic performance in the hydrogenolysis of biomass-derived 5-hydroxymethylfurfural(HMF)to 2,5-dimethylfuran(DMF).The XRD and HRTEM analyses show that Au nanoparticles are uniformly dispersed on CoO-OV surface and in situ DRIFTS spectra show the enhancement of heterolytic dissociation of hydrogen(signals of Au-D and O-D vibration)compared with bare CoO(Co3O4-Rod-250).This work provides insights for fabricating highly active Au-support catalysts for catalytic hydrogenation/hydrogenolysis reactions.
