复合绝缘子因其优异的耐污闪性能和良好的技术经济性越来越多地应用于超/特高压直流输电线路。对4支±800 k V直流复合绝缘子的伞裙进行了运行特性试验研究,主要包括憎水性测试、伞裙材料测试、扫描电镜(scanning electron microsco...复合绝缘子因其优异的耐污闪性能和良好的技术经济性越来越多地应用于超/特高压直流输电线路。对4支±800 k V直流复合绝缘子的伞裙进行了运行特性试验研究,主要包括憎水性测试、伞裙材料测试、扫描电镜(scanning electron microscope,SEM)检测、傅里叶红外光谱分析(Fourier transform infrared spectroscopy analysis,FTIR)。研究结果表明:在特高压直流线路已经挂网运行5年的直流耐张串复合绝缘子的憎水性、伞裙材料性能存在不同程度的下降;电镜扫描与傅里叶红外光谱分析为评价复合绝缘子伞裙材料的老化程度提供了重要的参考。展开更多
String similarity search and join are two impor- tant operations in data cleaning and integration, which ex- tend traditional exact search and exact join operations in databases by tolerating the errors and inconsiste...String similarity search and join are two impor- tant operations in data cleaning and integration, which ex- tend traditional exact search and exact join operations in databases by tolerating the errors and inconsistencies in the data. They have many real-world applications, such as spell checking, duplicate detection, entity resolution, and webpage clustering. Although these two problems have been exten- sively studied in the recent decade, there is no thorough sur- vey. In this paper, we present a comprehensive survey on string similarity search and join. We first give the problem definitions and introduce widely-used similarity functions to quantify the similarity. We then present an extensive set of algorithms for siring similarity search and join. We also dis- cuss their variants, including approximate entity extraction, type-ahead search, and approximate substring matching. Fi- nally, we provide some open datasets and summarize some research challenges and open problems.展开更多
文摘复合绝缘子因其优异的耐污闪性能和良好的技术经济性越来越多地应用于超/特高压直流输电线路。对4支±800 k V直流复合绝缘子的伞裙进行了运行特性试验研究,主要包括憎水性测试、伞裙材料测试、扫描电镜(scanning electron microscope,SEM)检测、傅里叶红外光谱分析(Fourier transform infrared spectroscopy analysis,FTIR)。研究结果表明:在特高压直流线路已经挂网运行5年的直流耐张串复合绝缘子的憎水性、伞裙材料性能存在不同程度的下降;电镜扫描与傅里叶红外光谱分析为评价复合绝缘子伞裙材料的老化程度提供了重要的参考。
基金This work was partly supported by the National Grand Fundamental Research 973 Program of China （2015CB358700）, the National Natural Science Foundation of China （Grant Nos. 61422205, 61472198）, Beijing Higher Education Young Elite Teacher Project（YETP0105）, Tsinghua-Tencent Joint Laboratory for Internet In- novation Technology, ＂NEXT Research Center＂, Singapore （WBS：R-252- 300-001-490）, Huawei, Shenzhou, FDCT/ll6/2013/A3, MYRG105（Y1- L3）-FST13-GZ, National High-Tech R＆D （863） Program of China （2012AA012600）, and the Chinese Special Project of Science and Tech- nology （2013zx01039-002-002）.
文摘String similarity search and join are two impor- tant operations in data cleaning and integration, which ex- tend traditional exact search and exact join operations in databases by tolerating the errors and inconsistencies in the data. They have many real-world applications, such as spell checking, duplicate detection, entity resolution, and webpage clustering. Although these two problems have been exten- sively studied in the recent decade, there is no thorough sur- vey. In this paper, we present a comprehensive survey on string similarity search and join. We first give the problem definitions and introduce widely-used similarity functions to quantify the similarity. We then present an extensive set of algorithms for siring similarity search and join. We also dis- cuss their variants, including approximate entity extraction, type-ahead search, and approximate substring matching. Fi- nally, we provide some open datasets and summarize some research challenges and open problems.
