针对Komano等(KOMANO Y,SHIMIZU H,KAWAMURA S.BS-CPA:built-in determined sub-key correlation power analysis.IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2010,E93-A(9):1632-1638.)...针对Komano等(KOMANO Y,SHIMIZU H,KAWAMURA S.BS-CPA:built-in determined sub-key correlation power analysis.IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2010,E93-A(9):1632-1638.)对dpacontest.org平台提供的数据进行研究后提出的内置确定性子密钥相关系数功耗分析(BS-CPA)方法进行分析,并从破解所需功耗数据和成功率方面将BS-CPA与差分功耗分析(DPA)、相关系数功耗分析(CPA)进行比较分析,发现BS-CPA虽然理论上方法可行,但远未达到其声称的效果,进而从密码设备加密过程中寄存器状态的变化与功耗值的关系来选取中间变量,通过去除噪声和错误峰值,找到与密钥最相关数据点来缩小攻击范围。对于相同数量功耗数据,部分点攻击与全部点攻击相比,完全破解64位密钥的成功率最大可以提高60%。实验结果表明改进后的模型攻击效率得到提升,达到同样成功率需要功耗数据少,攻击结果稳定。展开更多
为了解表面肌电信号(surface electromyography,sEMG)特征的变化规律,找出更加有效的疲劳特征参数组合,通过回归分析和皮尔逊相关系数分析的方法研究了6名受试者负重状态下,手臂表面肌电信号的时域、频域和时频域特征参数与主观疲劳感量...为了解表面肌电信号(surface electromyography,sEMG)特征的变化规律,找出更加有效的疲劳特征参数组合,通过回归分析和皮尔逊相关系数分析的方法研究了6名受试者负重状态下,手臂表面肌电信号的时域、频域和时频域特征参数与主观疲劳感量表(rating of perceived exertion,RPE)之间的关系。结果表明:随着负重时间的持续,sEMG的时域特征均方根值(root mean square,RMS)和积分肌电值(integrated electromyography,iEMG)有上升趋势,频域特征平均功率频率(mean power frequency,MPF)、中值频率(media frequency,MF)有下降趋势,而时频域特征瞬时平均频率(instantaneous mean power frequency,IMPF)、瞬时中值频率(instantaneous median frequency,IMF)出现先短暂上升然后下降趋势。对各特征参数进行非线性拟合,发现RMS和iEMG幂函数拟合优于指数函数拟合,而MPF、MF、IMPF和IMF指数函数拟合优于幂函数。对联合特征参数进行多元回归分析,发现RMS与MF组成的回归模型判定系数R2最大。可见RMS与MF相结合作为评估肌肉疲劳的联合参数更加合理有效。展开更多
In the case of unknown weights, theories of multi-attributed decision making based on interval numbers and grey related analysis were used to optimize mining methods. As the representative of independence for the indi...In the case of unknown weights, theories of multi-attributed decision making based on interval numbers and grey related analysis were used to optimize mining methods. As the representative of independence for the indicator, the smaller the correlation of indicators is, the greater the weight is. Hence, the weights of interval numbers of indicators were determined by using correlation coefficient. Relative closeness based on positive and negative ideal methods was calculated by introducing distance between interval numbers, which made decision making more rational and comprehensive. A new method of ranking interval numbers based on normal distribution was proposed for the optimization of mining methods, whose basic properties were discussed. Finally, the feasibility and effectiveness of this method were verified by theories and practice.展开更多
文摘针对Komano等(KOMANO Y,SHIMIZU H,KAWAMURA S.BS-CPA:built-in determined sub-key correlation power analysis.IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences,2010,E93-A(9):1632-1638.)对dpacontest.org平台提供的数据进行研究后提出的内置确定性子密钥相关系数功耗分析(BS-CPA)方法进行分析,并从破解所需功耗数据和成功率方面将BS-CPA与差分功耗分析(DPA)、相关系数功耗分析(CPA)进行比较分析,发现BS-CPA虽然理论上方法可行,但远未达到其声称的效果,进而从密码设备加密过程中寄存器状态的变化与功耗值的关系来选取中间变量,通过去除噪声和错误峰值,找到与密钥最相关数据点来缩小攻击范围。对于相同数量功耗数据,部分点攻击与全部点攻击相比,完全破解64位密钥的成功率最大可以提高60%。实验结果表明改进后的模型攻击效率得到提升,达到同样成功率需要功耗数据少,攻击结果稳定。
文摘为了解表面肌电信号(surface electromyography,sEMG)特征的变化规律,找出更加有效的疲劳特征参数组合,通过回归分析和皮尔逊相关系数分析的方法研究了6名受试者负重状态下,手臂表面肌电信号的时域、频域和时频域特征参数与主观疲劳感量表(rating of perceived exertion,RPE)之间的关系。结果表明:随着负重时间的持续,sEMG的时域特征均方根值(root mean square,RMS)和积分肌电值(integrated electromyography,iEMG)有上升趋势,频域特征平均功率频率(mean power frequency,MPF)、中值频率(media frequency,MF)有下降趋势,而时频域特征瞬时平均频率(instantaneous mean power frequency,IMPF)、瞬时中值频率(instantaneous median frequency,IMF)出现先短暂上升然后下降趋势。对各特征参数进行非线性拟合,发现RMS和iEMG幂函数拟合优于指数函数拟合,而MPF、MF、IMPF和IMF指数函数拟合优于幂函数。对联合特征参数进行多元回归分析,发现RMS与MF组成的回归模型判定系数R2最大。可见RMS与MF相结合作为评估肌肉疲劳的联合参数更加合理有效。
基金Project(50774095) supported by the National Natural Science Foundation of ChinaProject(200449) supported by the National Outstanding Doctoral Dissertations Special Funds of China
文摘In the case of unknown weights, theories of multi-attributed decision making based on interval numbers and grey related analysis were used to optimize mining methods. As the representative of independence for the indicator, the smaller the correlation of indicators is, the greater the weight is. Hence, the weights of interval numbers of indicators were determined by using correlation coefficient. Relative closeness based on positive and negative ideal methods was calculated by introducing distance between interval numbers, which made decision making more rational and comprehensive. A new method of ranking interval numbers based on normal distribution was proposed for the optimization of mining methods, whose basic properties were discussed. Finally, the feasibility and effectiveness of this method were verified by theories and practice.
