In order to ensure the security of big data in e-government, judging the reliability of the data itself has become an important basic task. This paper focuses on the reliability evaluation of e-government big data, an...
详细信息
ISBN:
(数字)9781728159027
ISBN:
(纸本)9781728159034
In order to ensure the security of big data in e-government, judging the reliability of the data itself has become an important basic task. This paper focuses on the reliability evaluation of e-government big data, analyzes the limitations of traditional iterative filtering algorithms as the starting point for research, and concludes that traditional algorithms cannot resist joint attacks. By reforming the traditional algorithm, a new iterative filtering algorithm is proposed. This method has the advantages of data aggregation, resistance to simple attacks and joint attacks, and is an effective method to evaluate the reliability of data.
This paper analyzes reasons of ship-carrier deck deformation and its effect on parameters of SINS Attitude Heading Reference System (SAHRS). With second order Markov stochastic process theory it constructs ship's ...
详细信息
ISBN:
(纸本)9781424426928
This paper analyzes reasons of ship-carrier deck deformation and its effect on parameters of SINS Attitude Heading Reference System (SAHRS). With second order Markov stochastic process theory it constructs ship's deck deformation model. According to inertial measurement matching method, it formulates the dynamic system equation and the observation equation based on angular-rate matching algorithm. And then it evaluates the system model with Kalman filtering. Furthermore, this paper proposes an iterativefiltering system equation according to the property of dynamic system and evaluates the performance with iterative filtering algorithm. From simulation results we can see, the Kalman filteringalgorithm can effectively eliminate the effect of ship's deck deformation error, decrease the error of transfer alignment system, and significantly improve its precision, similar to that of the iterativefiltering method. But in the iterative filtering algorithm, at the initial iteration period, the iterative results can effectively track output value of the system model, and with the iterative number increasing its tracking error increases gradually. So from the perspective of system design requirements the Kalman filteringalgorithm is superior to the iterative filtering algorithm. Research results in this paper have important theoretical and application value in the study or design of high-precision transfer alignment system based on shipboard.
暂无评论