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自动流量管理在血细胞分离机采集效果的应用与分析
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作者 郦曼桐 《山西医药杂志》 2023年第8期618-621,共4页
目的比较Trima血细胞分离机V6.4和V5.1版本采集双份血小板的效果。方法随机选取600名采集2个治疗单位的男性固定无偿献血者。TrimaV6.4组和V5.1组各300名,应用SPSS 23.0统计软件对2组献血者的资料、血常规指标、采集参数、采集效果等数... 目的比较Trima血细胞分离机V6.4和V5.1版本采集双份血小板的效果。方法随机选取600名采集2个治疗单位的男性固定无偿献血者。TrimaV6.4组和V5.1组各300名,应用SPSS 23.0统计软件对2组献血者的资料、血常规指标、采集参数、采集效果等数据分析。针对V6.4和V5.1版本单采血小板低压报警情况,枸橼酸钠中毒反应情况的分析,采用χ^(2)检验比较。于采集结束后15 min,重新采集献血对侧手臂2 ml静脉血,用全自动血细胞分析仪进行血常规检测。结果系统升级至V6.4版本后,循环血量、抗凝剂ACD使用量、采集时间、采集效率(CE)、采集速率(CR)、每小时血小板采集量与V5.1版本相比有统计学意义(P<0.05)。献血者在TrimaV6.4采集过程中发生枸橼酸钠中毒反应情况减少,V6.4版本在采集过程中发生压力报警情况下降,差异有统计学意义(P<0.05)。结论升级后的Trima V6.4版本,更加细化单采血小板采集程序,优化采集的质量、提高采集效率、缩短采集时间、优化细节体验。有效确保血液质量和献血者的良好感受与安全,值得在临床中推广使用。 展开更多
关键词 血细胞分离 采集时间 采集效率 低压报警 自动流量管理
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Network Traffic Signature Generation Mechanism Using Principal Component Analysis
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作者 牟澄 黄小红 +1 位作者 吴军 马严 《China Communications》 SCIE CSCD 2013年第11期95-106,共12页
The Deep Packet Inspection(DPI)method is a popular method that can accurately identify the flow data and its corresponding application.Currently,the DPI method is widely used in common network management systems.Howev... The Deep Packet Inspection(DPI)method is a popular method that can accurately identify the flow data and its corresponding application.Currently,the DPI method is widely used in common network management systems.However,the major limitation of DPI systems is that their signature library is mainly extracted manually,which makes it hard to efficiently obtain the signature of new applications.Hence,in this paper,we propose an automatic signature extraction mechanism using Principal Component Analysis(PCA)technology,which is able to extract the signature automatically.In the proposed method,the signatures are expressed in the form of serial consistent sequences constructed by principal components instead of normally separated substrings in the original data extracted from the traditional methods.Extensive experiments based on numerous sets of data have been carried out to evaluate the performance of the proposed scheme,and the results prove that the newly proposed method can achieve good performance in terms of accuracy and efficiency. 展开更多
关键词 network traffic classification aut-omatic signature generation deep packet in-spection principal component analysis
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