3D visualization model using cyclic distributions of complex 0–1 sequences

In advanced network information system sciences, many methods are applied to determine cyclic distributions of complex 0-1 sequences, such as time sequence and Poincare map method. Appropriate visualization models and methods are useful to describe cyclic distributions of complex 0-1 sequences. Time sequences using variant logic recursions and convert into measure sequences are discussed. It is convenient to apply 3D representation model to visualize cyclic distributions of complex 0-1 sequence, and display the results of typical measure sequences. The main procedure includes three stages: data acquisition, measuring determination and conditional visualization. Finally the related distributions are discussed and the exhibited characteristic of the method are summarized.