Analysis of long-term EEG signals needs that it be segmented into pseudo stationary epochs. That work is done by regarding to statistical characteristics of a signal such as amplitude and frequency. Time series measur...Analysis of long-term EEG signals needs that it be segmented into pseudo stationary epochs. That work is done by regarding to statistical characteristics of a signal such as amplitude and frequency. Time series measured in real world is frequently non-stationary and to extract important information from the measured time series it is significant to utilize a filter or smoother as a pre-processing step. In the proposed approach, the signal is initially filtered by Moving Average (MA) or Savitzky-Golay filter to attenuate its short-term variations. Then, changes of the amplitude or frequency of the signal is calculated by Modified Varri method which is an acceptable algorithm for segmenting a signal. By using synthetic and real EEG data, the proposed methods are compared with original approach (simple Modified Varri). The simulation results indicate the absolute advantage of the proposed methods.展开更多
Microsoft SQL Server是一个c/s模式的强大的关系型数据库管理系统,应用领域十分广泛.获取SQLServer 2000 SA权限,导致安装SQL Server 2000的计算机被远程控制,将对数据库和服务器带来很大的安全隐患.保障数据库的安全性是我们最关心的...Microsoft SQL Server是一个c/s模式的强大的关系型数据库管理系统,应用领域十分广泛.获取SQLServer 2000 SA权限,导致安装SQL Server 2000的计算机被远程控制,将对数据库和服务器带来很大的安全隐患.保障数据库的安全性是我们最关心的问题,将详细分析SQL Server 2000数据库SA权限安全性与防范问题进行的探索性研究.展开更多
为解决汽车半主动悬架(Semi-Active Suspension,SAS)与电动助力转向(Electric Power Steering,EPS)集成系统在线故障诊断的问题,提出将小波分析方法应用到SAS与EPS集成系统传感器和ECU的故障诊断中。首先根据故障状态下传感器和ECU输出...为解决汽车半主动悬架(Semi-Active Suspension,SAS)与电动助力转向(Electric Power Steering,EPS)集成系统在线故障诊断的问题,提出将小波分析方法应用到SAS与EPS集成系统传感器和ECU的故障诊断中。首先根据故障状态下传感器和ECU输出电压信号的突变特性,利用小波分析奇异性检测原理检测出突变信息。随后为能更精确地检测出突变信息,先使用小波阈值法对电压信号消噪,再对消噪后的电压信号进行检测。最后以SAS与EPS集成系统中扭矩传感器和ECU故障诊断为例进行试验研究。结果表明,小波分析方法能有效抑制信号噪声,并准确检测出故障和故障发生时刻,对集成控制系统的安全运行及故障诊断具有重要的工程应用意义。展开更多
文摘Analysis of long-term EEG signals needs that it be segmented into pseudo stationary epochs. That work is done by regarding to statistical characteristics of a signal such as amplitude and frequency. Time series measured in real world is frequently non-stationary and to extract important information from the measured time series it is significant to utilize a filter or smoother as a pre-processing step. In the proposed approach, the signal is initially filtered by Moving Average (MA) or Savitzky-Golay filter to attenuate its short-term variations. Then, changes of the amplitude or frequency of the signal is calculated by Modified Varri method which is an acceptable algorithm for segmenting a signal. By using synthetic and real EEG data, the proposed methods are compared with original approach (simple Modified Varri). The simulation results indicate the absolute advantage of the proposed methods.
文摘Microsoft SQL Server是一个c/s模式的强大的关系型数据库管理系统,应用领域十分广泛.获取SQLServer 2000 SA权限,导致安装SQL Server 2000的计算机被远程控制,将对数据库和服务器带来很大的安全隐患.保障数据库的安全性是我们最关心的问题,将详细分析SQL Server 2000数据库SA权限安全性与防范问题进行的探索性研究.
文摘为解决汽车半主动悬架(Semi-Active Suspension,SAS)与电动助力转向(Electric Power Steering,EPS)集成系统在线故障诊断的问题,提出将小波分析方法应用到SAS与EPS集成系统传感器和ECU的故障诊断中。首先根据故障状态下传感器和ECU输出电压信号的突变特性,利用小波分析奇异性检测原理检测出突变信息。随后为能更精确地检测出突变信息,先使用小波阈值法对电压信号消噪,再对消噪后的电压信号进行检测。最后以SAS与EPS集成系统中扭矩传感器和ECU故障诊断为例进行试验研究。结果表明,小波分析方法能有效抑制信号噪声,并准确检测出故障和故障发生时刻,对集成控制系统的安全运行及故障诊断具有重要的工程应用意义。
