采用 S 变换和支持向量机进行电能质量扰动的分类识别。作为连续小波变换和短时傅立叶变换的发展,S 变换引入了宽度与频率成反向变化的高斯窗,具有与频率相关的分辨率。由于 S 变换具有良好的时频特性,因而非常适合于进行电能质量扰动...采用 S 变换和支持向量机进行电能质量扰动的分类识别。作为连续小波变换和短时傅立叶变换的发展,S 变换引入了宽度与频率成反向变化的高斯窗,具有与频率相关的分辨率。由于 S 变换具有良好的时频特性,因而非常适合于进行电能质量扰动信号特征提取。首先通过 S 变换进行扰动信号特征提取,然后构造支持向量机分类树进行扰动分类。算例表明该方案具有分类准确率高,对噪声不敏感,训练样本少等优点,是电能质量扰动识别的有效方法。展开更多
Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one o...Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies.Nevertheless,recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years.In this article,we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades.We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies.Finally,we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap.It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding.展开更多
With the enlargement of core rockfill dam construction scale and the improvement of construction mechanization level, the traditional manual construction quality control method is now difficult to meet the quality and...With the enlargement of core rockfill dam construction scale and the improvement of construction mechanization level, the traditional manual construction quality control method is now difficult to meet the quality and safety demands of modern dam construction, so automatic and real-time dam construction quality monitoring with high-techs is urgently needed. The paper makes theoretical research on construction quality real-time monitoring and system integration of core rockfill dam, proposes implementation method and integrated solution of construction quality real-time monitoring of core rockfill dam construction process, realizes refining, all-whether, entire-process and real-time control and analysis on key links of dam construction, and introduces the application of the construction quality real-time monitoring and system integration technology to a practical core rockfill dam project.展开更多
目的探讨基于奥马哈系统(Omaha system,OS)的延续护理模式对维持性血液透析(maintenance hemodialysis,MHD)患者自我管理能力与生存质量的影响。方法选取2016年9月～2017年3月MHD患者120例,随机分为A组和B组,每组60例,A组给予常规的护...目的探讨基于奥马哈系统(Omaha system,OS)的延续护理模式对维持性血液透析(maintenance hemodialysis,MHD)患者自我管理能力与生存质量的影响。方法选取2016年9月～2017年3月MHD患者120例,随机分为A组和B组,每组60例,A组给予常规的护理,B组此基础上给予基于OS护理模式的延续护理。结果 B组患者疾病知识掌握率明显高于A组(P=0.043),B组干预后3、6月自我护理能力量表(exercise of self-care agency,ESCA)、肾病相关生存质量量表(kidney disease quality of life short form,KDQOL-SFTM)得分明显高于A组(P值均<0.001)。结论基于OS的延续护理可提高MHD患者疾病知识掌握度和自我管理能力,有利于改善患者的生存质量。展开更多
文摘采用 S 变换和支持向量机进行电能质量扰动的分类识别。作为连续小波变换和短时傅立叶变换的发展,S 变换引入了宽度与频率成反向变化的高斯窗,具有与频率相关的分辨率。由于 S 变换具有良好的时频特性,因而非常适合于进行电能质量扰动信号特征提取。首先通过 S 变换进行扰动信号特征提取,然后构造支持向量机分类树进行扰动分类。算例表明该方案具有分类准确率高,对噪声不敏感,训练样本少等优点,是电能质量扰动识别的有效方法。
基金the National Key Research and Development Program of China(2016YFD0100101-18,2016YFD0100103)the National Natural Science Foundation of China(31770397,21800305)+2 种基金the Fundamental Research Funds for the Central Universities(2662017PY058,2662017QD044)UK-China grant BBSRC(grant no.BB/R02118X/1)the National Institute of Food and Agriculture,U.S.Department of Agriculture,Hatch project(ALA014-1-16016).
文摘Since whole-genome sequencing of many crops has been achieved,crop functional genomics studies have stepped into the big-data and high-throughput era.However,acquisition of large-scale phenotypic data has become one of the major bottlenecks hindering crop breeding and functional genomics studies.Nevertheless,recent technological advances provide us potential solutions to relieve this bottleneck and to explore advanced methods for large-scale phenotyping data acquisition and processing in the coming years.In this article,we review the major progress on high-throughput phenotyping in controlled environments and field conditions as well as its use for post-harvest yield and quality assessment in the past decades.We then discuss the latest multi-omics research combining high-throughput phenotyping with genetic studies.Finally,we propose some conceptual challenges and provide our perspectives on how to bridge the phenotype-genotype gap.It is no doubt that accurate high-throughput phenotyping will accelerate plant genetic improvements and promote the next green revolution in crop breeding.
基金Supported by the National Natural Science Foundation of China (Grant Nos. 50525927, 50879056)
文摘With the enlargement of core rockfill dam construction scale and the improvement of construction mechanization level, the traditional manual construction quality control method is now difficult to meet the quality and safety demands of modern dam construction, so automatic and real-time dam construction quality monitoring with high-techs is urgently needed. The paper makes theoretical research on construction quality real-time monitoring and system integration of core rockfill dam, proposes implementation method and integrated solution of construction quality real-time monitoring of core rockfill dam construction process, realizes refining, all-whether, entire-process and real-time control and analysis on key links of dam construction, and introduces the application of the construction quality real-time monitoring and system integration technology to a practical core rockfill dam project.
文摘目的探讨基于奥马哈系统(Omaha system,OS)的延续护理模式对维持性血液透析(maintenance hemodialysis,MHD)患者自我管理能力与生存质量的影响。方法选取2016年9月～2017年3月MHD患者120例,随机分为A组和B组,每组60例,A组给予常规的护理,B组此基础上给予基于OS护理模式的延续护理。结果 B组患者疾病知识掌握率明显高于A组(P=0.043),B组干预后3、6月自我护理能力量表(exercise of self-care agency,ESCA)、肾病相关生存质量量表(kidney disease quality of life short form,KDQOL-SFTM)得分明显高于A组(P值均<0.001)。结论基于OS的延续护理可提高MHD患者疾病知识掌握度和自我管理能力,有利于改善患者的生存质量。
