Search

The classical Montgomery ladder algorithm (MPL) is an effective way to improve the operational efficiency of elliptic curve cryptography. First, an improved MPL is proposed by loop unrolling, and then the Montgomery elliptic curve encryption and decryption process is realized using data parallel and task parallel. The experimental results show that the ratio of acceleration parallel processing efficiency can reach 70%, and the method can effectively improve the speed of elliptic curve encryption algorithm.

The probabilistic fuzzy set (PFS) is designed for handling the uncertainties with both stochastic and fuzzy features. In this paper, the fundamental analyses are conducted to study influences of random variations to the fuzzy membership degree and its convergence. The analysis clearly discloses that fuzzy membership degree will show Gaussian features. The work presented will improve the potential application of probabilistic fuzzy sets.

In railway transport, stochastic resonance (SR) and some phenomena may happen when multi-machine traction system is hauling a sequence of carriages. These phenomena may vary with the coupling coefficients among these traction machines. To work together fluently and produce the maximum output, energy changes and maximum output of this system can be worked out with the power spectrum of the coupling system. Genetic algorithm can be used to search for the best coupling matrix so as different traction machines can work fluently and efficiently as a whole.