This study proposes a self-adaptive image encryption algorithm based on the quantum logistic map. First, initial values are substituted into map an iteration process to generate three random sequences. After preprocessing, new sequences with better randomicity were obtained from generated In particular, correlation coefficients for before and after preprocessing compared determine best model ma...

Syndrome types are important for diagnosis and treatment in traditional Chinese medicine. can be summarized by domain experts as formula clusters. In this paper, we propose seven feature models the clustering problem based on categories, subcategories, functional tendencies names of materia medica. A novel multi-objective hyper-heuristic algorithm is obtained. our proposed algorithm, 12 low-lev...

This paper proposes an efficient and reliable eigenvalue solution technique for analytical stochastic dynamic stiffness (SDS) formulations of beam built-up structures with parametric uncertainties. The SDS are developed based on frequency-dependent shape functions in conjunction both random-variable random-field structural parameters. overall numerical framework is aimed towards representing th...

Lanczos vectors computed in nite precision arithmetic by the three-term recurrence tend to lose their mutual biorthogonality. One either accepts this loss and takes more steps or re-biorthogonalizes the Lanczos vectors at each step. For the symmetric case, there is a compromise approach. This compromise, known as maintaining semi-orthogonality, minimizes the cost of re-orthogonalization. This p...

Two approaches to the combination of robust variational deconvolution with positivity constraints are considered. The first approach modifies a standard robust variational deconvolution method by carrying out a gradient descent with respect to a multiplicative perturbation, which can also be considered as gradient descent in a hyperbolic metric. The second approach is based on the representatio...

A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...

To improve the safety and reliability of offshore structures subject to wave loading, active vibration control problem is always one significant issues in field ocean engineering. This paper deals with near–optimal a nonlinear energy sink (NES) mechanism. By taking dominant mode structure NES into account, dynamic model steel–jacket loading presented first. Then, using parameter perturbation ap...