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.