Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-28 Cooperative journals: 《计算机应用研究》
Abstract： Study the problem of secure subset, most of the existing protocols that solve such problems can only keep the elements of one set private, therefore, it has great practical significance to study this kind of problem. Under the semi-honest model, this paper constructed a secure subset protocol by using Bloom filter and Goldwasser-Micali homomorphic encryption algorithm, and proved the security of the protocol by using common simulation examples in secure multi-party computing. It used the Bloom filter to map a data set with a large number or large number field elements into a smaller data set, improved the efficiency and range of the protocol, at the same time, it used the Goldwasser-Micali homomorphic encryption algorithm to ensure the security of the protocol. Most of the relevant researches are based on the difficult problems such that secondary residuals, it is impossible to resist quantum attacks, and the secure subset computation which can resist quantum attacks is a further research direction.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-11-29 Cooperative journals: 《计算机应用研究》
Abstract： The sponge function uses shorter keys and initial vectors, so it is used as a new pseudo-random generator structure. This paper proposed a fast pseudo-random sequence generation method based on spongy function in combination with the coding theory, to solve the problems of low efficiency and slow speed of 2SC (sponge code-based stream cipher) pseudo-random sequence generation method proposed by Meziani et al. uses a generic state transformation which is reducible to the Regular Syndrome Decoding problem(RSD) , but has better computational characteristics than the regular encoding. Theoretical analysis and experimental results show that the pseudo-random sequence generator preserves the characteristics of sponge function, but it improved the efficiency greatly. For the security level of 160bits, its 5 times faster than the original scheme. At the same time, NIST statistical test, sequence balance and cross correlation test results show that the generated pseudo-random sequence has good random characteristics.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-09-12 Cooperative journals: 《计算机应用研究》
Abstract： In order to segment interested objects in image accurately and quickly, an improved Wolf Pack Algorithm (WPA) is proposed combined with novel generalized entropy to realize the effective segmentation of image targets. First introduced the a periodic random disturbance strategy in the walking behavior of Wolf Pack Algorithm(WPA) , making it adaptively adjust the inertia weight, and introduced a chaotic global search into the attack behavior of WPA. Then combined the WPA with the novel generalized entropy to achieve image segmentation. Finally, the results are verified by using the peak signal to noise ratio image segmentation evaluation index. The algorithm can more accurately segment the desired target in the image, which is more accurate and clearer than the basic wolf pack algorithm.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： The existing single image dehazing algorithms based on dark channel prior theory cannot achieve satisfactory performance in the cases that the image has large high light regions (i. e. sky area, water surface or white objects) which does not meet the dark channel prior hypothesis. To solve this problem, this paper proposed a novel single image dehazing algorithm based on the dark channel prior. Firstly, it estimated the atmospheric light value by a new statistical truncation process, then a median filter is applied to the dark channel prior to estimate the approximative value of the transmission map. Finally, it restored the haze-removed image by the atmospheric scattering model. Experimental result shows that compare to the original method, the proposed algorithm can pick out the pixels in the sky regions correctly then estimate the atmospheric light value accurately, which can alleviate the colour distortion effectively. Compare to other dehazing methods, the proposed algorithm has better performance in haze removal in foggy images with large high light regions, even has spot lighting sources, and the details can be reserved and the visual quality is enhanced significantly. The proposed algorithm can be applied to restore the foggy image that has large high light regions or spot lighting source. This method can serve as a useful pre-processing to image segmentation, semantic retrieval, intelligent analysis, etc. , which has great significance to the research areas of traffic supervision, video surveillance, automobile data recorder and visual guidance and so forth.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-20 Cooperative journals: 《计算机应用研究》
Abstract： This letter propose a method that combines target state and system error based on the maximum correntropy criterion unscented Kalman filter(MCUKF) , namely ASMCUKF, which can solve the problems that the observation noise of sensor is heavy-tailed or has some sudden change in Space-Air-Ground integrated sensor network. . Firstly, MCUKF uses unscented transformation (UT) to obtain the predicted state estimation and covariance matrix, and then a non-linear regression model based on MCC is used to reconstruct the observed information and strengthen the robustness of UKF in heavy-tailed noise. The ASMCUKF algorithm establishes the state equation and the nonlinear observation equation with systematic errors through the expansion of target state vector, and makes the error registration according to the estimated system errors to improve the influence of the system errors on the target state estimation. The simulation results show that the ASMCUKF has a better performance for the state estimation of the communication target than the traditional method in the environment of heavy-tailed non- Gaussian noise.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-19 Cooperative journals: 《计算机应用研究》
Abstract： Traditionally, airborne sea surface wind speed inversion generally use relevant power curve directly matching method, this method need to extracted state information from the actual measurement data for generating theoretical waveform, however, the state information extracted from the actual measurement data is existed error, so that there is an error in the theoretical waveform, thus, the inversion result is not accurate. To this, this paper proposed a new method of wind speed inversion based on one-dimensional delay power waveform characteristic parameters, the method was based on the influence of wind speed on delay window of one dimensional delay power curve, it established the inversion model of wind speed by using the time delay window of one dimension delay power curve as the characteristic parameter. The experimental results show that the accuracy of the new method is 0.77 m/s. Compared to traditional methods, the accuracy is improved by 33.04%, and the model is simple.
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