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基于时间序列手势轮廓模型的动态手势识别 被引量:7
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作者 庞海波 李占波 丁友东 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2015年第1期140-146,共7页
针对动态手势在时间尺度上的多变性和复杂性,提出了一种动态手势识别框架.该框架利用时间序列上提取的手势轮廓构造动态手势轮廓图像,获得不同动态手势在不同时间尺度下其轮廓图像的均值图像和方差图像,并将这些图像用于构成动态手势轮... 针对动态手势在时间尺度上的多变性和复杂性,提出了一种动态手势识别框架.该框架利用时间序列上提取的手势轮廓构造动态手势轮廓图像,获得不同动态手势在不同时间尺度下其轮廓图像的均值图像和方差图像,并将这些图像用于构成动态手势轮廓模型库,在此模型库基础上,利用相关信息方法和改进的动态时间规整方法完成动态手势的识别.实验结果表明,文中提出的动态手势轮廓模型对不同时间尺度的动态手势具有较强的鲁棒性,改进的动态时间规整方法较传统方法具有更高的识别率. 展开更多
关键词 手势识别 时间序列 轮廓模型 相关信息法 动态时间规整
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An Optimized Cross Correlation Power Attack of Message Blinding Exponentiation Algorithms 被引量:1
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作者 WAN Wunan YANG Wei CHEN Jun 《China Communications》 SCIE CSCD 2015年第6期22-32,共11页
The message blinding method is the most efficient and secure countermeasure against first-order differential power analysis(DPA).Although cross correlation attacks(CCAs) were given for defeating message blinding metho... The message blinding method is the most efficient and secure countermeasure against first-order differential power analysis(DPA).Although cross correlation attacks(CCAs) were given for defeating message blinding methods,however searching for correlation points is difficult for noise,misalignment in practical environment.In this paper,we propose an optimized cross correlation power attack for message blinding exponentiation algorithms.The attack method can select the more correlative power points of share one operation in the modular multiplication by comparing variances between correlation coefficients.Further we demonstrate that the attack method is more efficient in experiments with hardware implementation of RSA on a crypto chip card.In addition to the proposed CCA method can recovery all 1024 bits secret key and recognition rate increases to 100%even when the recorded signals are noisy. 展开更多
关键词 side channel attack correlationpower analysis cross correlation attacks module exponentiation.
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A New method for selecting multi-scale road network objects 被引量:1
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作者 Wang Yanhui 《High Technology Letters》 EI CAS 2011年第4期407-413,共7页
Aimed at solving the problems of road network object selection at any unknown scale, the existing methods on object selection are integrated and extended in this paper, and a new object interpolation method is propose... Aimed at solving the problems of road network object selection at any unknown scale, the existing methods on object selection are integrated and extended in this paper, and a new object interpolation method is proposed, which reflects the inheritable and transferable characteristics of related information among multi-scale representation objects, and takes the attribute effects into account. Then the basic idea, the overall framework and the technical flow of the interpolation are put forward, at the samet:me synthetical weight function of the interpolation method is defined and described. The method and technical strategies of object selection are extended, and the key problems are solved, including the dejign of the objective quantitative and structural selections based on the weight values, the interpolation experiment strategies and technical flows, the result of the test shows that the object interpolation method not only inherits the objects at smaller scales, but also takes the attribute effect into account when deriving objects from larger scales according to the road importance, which is a guarantee to objective selection of the road objects at middle scales. 展开更多
关键词 multi-scale representation object interpolation object selection synthetic weight
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