In this paper,a statistical method called Generalized Equilibrium Feedback Analysis(GEFA)is used to investigate the responses of the North Pacific Storm Track(NPST)in the cold season to the multi-scale oceanic variati...In this paper,a statistical method called Generalized Equilibrium Feedback Analysis(GEFA)is used to investigate the responses of the North Pacific Storm Track(NPST)in the cold season to the multi-scale oceanic variations of the Kuroshio Extension(KE)system,including its large-scale variation,oceanic front meridional shift,and mesoscale eddy activity.Results show that in the cold season from the lower to the upper troposphere,the KE large-scale variation significantly weakens the storm track activity over the central North Pacific south of 30°N.The northward shift of the KE front significantly strengthens the storm track activity over the western and central North Pacific south of 40°N,resulting in a southward shift of the NPST.In contrast,the NPST response to KE mesoscale eddy activity is not so significant and relatively shallow,which only shows some significant positive signals near the dateline in the lower and middle troposphere.Furthermore,it is found that baroclinicity and baroclinic energy conversion play an important role in the formation of the NPST response to the KE multi-scale oceanic variations.展开更多
The study was carried out to improve farmers’ awareness, enhance the adoption of full package sorghum production technologies. The large-scale demonstration was implemented at Gololcha woreda of Arsi zone for one yea...The study was carried out to improve farmers’ awareness, enhance the adoption of full package sorghum production technologies. The large-scale demonstration was implemented at Gololcha woreda of Arsi zone for one year (2019/2020) using Melkam variety. The demonstration was implemented in three kebeles and a total of 100 hectares of land was covered by participating 117 household heads (farmers) out of which 12 of them were women-headed. In the demonstration farmers contributed a land size of 0.25 hectares (the minimum) and 2 hectares of land (maximum). Totally, from the demonstration 4030 quintals of sorghum were harvested with 42.3 quintals per hectare average productivity. The yield obtained by farmers practices w</span><span style="font-family:Verdana;">as</span><span style="font-family:Verdana;"> 18.23 q</span><span style="font-family:""><span style="font-family:Verdana;">·ha</span><sup><span style="font-family:Verdana;">-1</span></sup><span style="font-family:Verdana;"> which is lower as compared to the average yield obtained by large scale demonstration. The technology gap (TG) was 15.70 q·ha</span><sup><span style="font-family:Verdana;">-1</span></sup><span style="font-family:Verdana;"> which indicated that technologies have not been adopted. Extension gap was 24.07 q·ha</span><sup><span style="font-family:Verdana;">-1</span></sup><span style="font-family:Verdana;"> and this result indicated that the extension approach should be </span></span><span style="font-family:Verdana;">more </span><span style="font-family:Verdana;">strengthen</span><span style="font-family:Verdana;">ed</span><span style="font-family:Verdana;">. It has been ascertained that </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">Melkam</span><span style="font-family:Verdana;">”</span><span style="font-family:Verdana;"> variety is the best fitted variety and promotion of improved sorghum technologies via large scale demonstration has show</span><span style="font-family:Verdana;"展开更多
针对旋转机械故障诊断方法中信号处理和模式识别的不足,即端点效应和判别片面性问题,提出一种基于互相关匹配延拓局部特征尺度分解(Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition,CELCD)和...针对旋转机械故障诊断方法中信号处理和模式识别的不足,即端点效应和判别片面性问题,提出一种基于互相关匹配延拓局部特征尺度分解(Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition,CELCD)和改进多变量预测模型(Variable Predictive Model based Class Discriminate,VPMCD)的智能故障诊断方法,首先探索待分解信号前后端的数据规律,选取匹配波形完成端点延拓,然后利用局部特征尺度分解(Local Characteristic scale Decomposition,LCD)得到各去除端点效应的内禀尺度分量(Intrinsic Scale Component,ISC),最后输入到基于多模型融合的多变量预测模型(Multi-model Fusion-Variable Predictive Model based Class Discriminate,MFVPMCD)分类器中进行概率状态判定.实验分析结果表明,所提方法能有效地对滚动轴承的工作状态进行识别.展开更多
基金jointly supported by the National Natural Science Foundation of China (Grant Nos. 42105066, 42088101, 41975066)supported by the China Postdoctoral Science Foundation (2021M701754)+1 种基金the Postdoctoral Research Funding of Jiangsu Province (2021K052A)the Research Project of the National University of Defense Technology (ZK20-45)
文摘In this paper,a statistical method called Generalized Equilibrium Feedback Analysis(GEFA)is used to investigate the responses of the North Pacific Storm Track(NPST)in the cold season to the multi-scale oceanic variations of the Kuroshio Extension(KE)system,including its large-scale variation,oceanic front meridional shift,and mesoscale eddy activity.Results show that in the cold season from the lower to the upper troposphere,the KE large-scale variation significantly weakens the storm track activity over the central North Pacific south of 30°N.The northward shift of the KE front significantly strengthens the storm track activity over the western and central North Pacific south of 40°N,resulting in a southward shift of the NPST.In contrast,the NPST response to KE mesoscale eddy activity is not so significant and relatively shallow,which only shows some significant positive signals near the dateline in the lower and middle troposphere.Furthermore,it is found that baroclinicity and baroclinic energy conversion play an important role in the formation of the NPST response to the KE multi-scale oceanic variations.
文摘The study was carried out to improve farmers’ awareness, enhance the adoption of full package sorghum production technologies. The large-scale demonstration was implemented at Gololcha woreda of Arsi zone for one year (2019/2020) using Melkam variety. The demonstration was implemented in three kebeles and a total of 100 hectares of land was covered by participating 117 household heads (farmers) out of which 12 of them were women-headed. In the demonstration farmers contributed a land size of 0.25 hectares (the minimum) and 2 hectares of land (maximum). Totally, from the demonstration 4030 quintals of sorghum were harvested with 42.3 quintals per hectare average productivity. The yield obtained by farmers practices w</span><span style="font-family:Verdana;">as</span><span style="font-family:Verdana;"> 18.23 q</span><span style="font-family:""><span style="font-family:Verdana;">·ha</span><sup><span style="font-family:Verdana;">-1</span></sup><span style="font-family:Verdana;"> which is lower as compared to the average yield obtained by large scale demonstration. The technology gap (TG) was 15.70 q·ha</span><sup><span style="font-family:Verdana;">-1</span></sup><span style="font-family:Verdana;"> which indicated that technologies have not been adopted. Extension gap was 24.07 q·ha</span><sup><span style="font-family:Verdana;">-1</span></sup><span style="font-family:Verdana;"> and this result indicated that the extension approach should be </span></span><span style="font-family:Verdana;">more </span><span style="font-family:Verdana;">strengthen</span><span style="font-family:Verdana;">ed</span><span style="font-family:Verdana;">. It has been ascertained that </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">Melkam</span><span style="font-family:Verdana;">”</span><span style="font-family:Verdana;"> variety is the best fitted variety and promotion of improved sorghum technologies via large scale demonstration has show</span><span style="font-family:Verdana;"
文摘针对旋转机械故障诊断方法中信号处理和模式识别的不足,即端点效应和判别片面性问题,提出一种基于互相关匹配延拓局部特征尺度分解(Cross-correlation matching endpoint Extension Local Characteristic scale Decomposition,CELCD)和改进多变量预测模型(Variable Predictive Model based Class Discriminate,VPMCD)的智能故障诊断方法,首先探索待分解信号前后端的数据规律,选取匹配波形完成端点延拓,然后利用局部特征尺度分解(Local Characteristic scale Decomposition,LCD)得到各去除端点效应的内禀尺度分量(Intrinsic Scale Component,ISC),最后输入到基于多模型融合的多变量预测模型(Multi-model Fusion-Variable Predictive Model based Class Discriminate,MFVPMCD)分类器中进行概率状态判定.实验分析结果表明,所提方法能有效地对滚动轴承的工作状态进行识别.
