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JXTA平台的Poblano安全模型构建技术 被引量:3
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作者 饶文碧 陶莎 +1 位作者 程浩 甘泉 《武汉理工大学学报》 EI CAS CSCD 北大核心 2005年第6期85-88,共4页
Juxtapose(JXTA)协议的出现为点对点网络服务的搜索和利用提供了一个共享的平台,介绍了JXTA系统的基本结构,简述了JXTA在安全方面的不完善之处,介绍了用于点对点网络的Poblano置信模型,并详细讨论了根据Poblano发布和更新信用度的思想,... Juxtapose(JXTA)协议的出现为点对点网络服务的搜索和利用提供了一个共享的平台,介绍了JXTA系统的基本结构,简述了JXTA在安全方面的不完善之处,介绍了用于点对点网络的Poblano置信模型,并详细讨论了根据Poblano发布和更新信用度的思想,在JXTA系统中计算对等体对于服务的信任度,从而构造安全模型的方法。 展开更多
关键词 JXTA 对等体 对等组 信心值
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Application of Holter ECG Signal Analysis Based on Wavelet and Data Mining Technique
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作者 余辉 谢远国 +1 位作者 周仲兴 吕扬生 《Transactions of Tianjin University》 EI CAS 2004年第2期126-129,共4页
A new model based on dyadic differential wavelet was developed for detecting the R peak in Holter ECG signal according to the design of data mining. The Mallat recursive filter algorithm was introduced to calculate wa... A new model based on dyadic differential wavelet was developed for detecting the R peak in Holter ECG signal according to the design of data mining. The Mallat recursive filter algorithm was introduced to calculate wavelet and optimize the detection algorithm which is based on the equivalent filter technique. The detection algorithm has been verified by MIT arrhythmia database with a high efficiency of 99%. After optimization, the algorithm was put into clinical experiment and tested in the Air Force Hospital in Tianjin for about two months. After about 108 hearts beating test of more than 100 patients, the total efficient detection rate has reached 97%. Now this algorithm module has been applied in business software and shows perfect performance under the complex conditions such as the inversion of heart beating, the falling off of the electrodes, the excursion of base line and so on. 展开更多
关键词 WAVELET data mining signal detection ELECTROCARDIOGRAM dyadic wavelet R peak detection
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Parameters Analysis of Gastric Motility Signals in Time Domain and Frequency Domain
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作者 Zhangyong Li Likun Xu Zhui Xu 《Journal of Life Sciences》 2012年第1期14-19,共6页
In order to assess gastric motility, a new noninvasive method was addressed. Firstly, bio-impedance and stomach electric signals were recorded from the healthy control group and the pathologic stomach group. Wavelet t... In order to assess gastric motility, a new noninvasive method was addressed. Firstly, bio-impedance and stomach electric signals were recorded from the healthy control group and the pathologic stomach group. Wavelet transform was used to remove the influence of the heart activity signals. By analyzing and processing the two signals of the time domain and frequency domain, we get the corresponding parameters of the two groups. According to all the parameters, several verification tests have been carried out, from the result of the statistics, we can find that in both time and frequency domains, impedance signal and synchronize EGG (electrogastrogram) have some similar features. However synchronize EGG cannot be totally instead by gastric motility, especially in morbid state, EGG is not correspondence to impedance signal. The gastric contraction or gastric emptying is a complex procedure including electrical and mechanical activity. Electrical impedance (EIP) and the synchronous EGG should be analyzed together. In conclusion, the parameters have the value to evaluate gastric motility. 展开更多
关键词 Gastric motility SIGNALS wavelet transform time domain frequency domain.
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