• 嵌入式应用中的循环级线程推测并行性分析

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-07-09 Cooperative journals: 《计算机应用研究》

    Abstract: How to effectively utilize the rich transistor resources provided by multi-core to accelerate the execution of serial programs is currently a hot issue in research. 燭hread-Level Speculation (TLS) aims at making full use of multi-core resources and maximizing the potentially parallelism in serial code. 燗t present, TLS technology has been effectively utilized to parallelize several serial applications. However, speculative thread level parallelism in embedded applications has not yet been explored thoroughly. 燭herefore, eight selected representative embedded applications were analyzed in this paper from their potential parallelism and runtime characteristics(data dependency, thread granularity and parallel coverage) in loop-level speculation. 燭he experimental results show that: (1) for embedded applications, the speculative thread level parallelism is better than that in instruction level parallel technology, and the maximum speed up in experiment achieves 13.29. (2) In the field of embedded application, the technology can effectively utilize resources of 4 to 8 core computing.

  • 基于Bell态纠缠交换的身份认证协议

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-02 Cooperative journals: 《计算机应用研究》

    Abstract: This paper presented a new quantum authentication protocols. The protocol took Bell state as the transmission carrier and used Bell state entanglement swapping and Bell basis measurement to authenticate communication users. There was no need to do any unitary transformation in the transmission of two Bell states. Only need to perform Bell basis measurement and bitwise XOR operation could achieve the transmission of information. Throughout the process, the quantum carrier was simple and easy to implement. In addition, this paper also verified the correctness of this protocol.

  • 基于改进EMD的滚动轴承故障增长特征提取和损伤评估技术

    Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-19 Cooperative journals: 《计算机应用研究》

    Abstract: Traditional damage assessment methods for rolling bearings didn’t consider sensitivity and stability of fault features to track fault growth process, it resulted in low precision and accuracy. This paper proposed a new feature extraction and damage assessment method for rolling bearings based on improved empirical mode decomposition (EMD) and singularity value decomposition (SVD) . For the different damage severity of each fault, it decomposed original vibration signals into a finite number of intrinsic mode functions (IMF) , and calculated their singular value sequences, thus built SVD components related to fault growth trends. Through analyzing the sensitivity and stability for fault growth trends described by SVD components, the optimal SVD sequences which could track fault growth process were selected as faulty eigenvectors of fault type recognition and damage assessment. Finally, it verified the effectiveness of proposed methods by using the open vibration data of rolling bearing provided by case western reserve university. The results shows that the fault growth features can be selected from complex SVD components by comparing their abilities of monitoring and tracking fault growth process, and the proposed approach can provide a better strategy for fault feature extraction of rolling bearings in order to improve damage assessment precision and accuracy.