In this paper, a nonlinear dynamical model for multipath fading channel is established on the basis of the study on the nonlinear dynamical properties of wireless mobile communication channel by using chaos and fractal theory. The phase space of the multipath fading time serials is reconstructed and the correlation dimension is analyzed, which indicate that the dynamical system has finite degree of freedom and a positive maximum Lyapunov exponent. The chaotic characteristic of the multipath fading is demonstrated and the nonlinear evolution mechanism is observed. Finally, the multipath signals are reconstructed by using fractal interpolation algorithm and gaining reasonably accurate replications. The results indicate that the nonlinear dynamical system could be a more suitable model than the classic stochastic models for describing multipath fading phenomenon.

To seek a way non-invasive and adaptive to differentiate the normal and abnormal heart sound signals in order to provide more valuable reference method for clinical diagnosis. This paper made the largest Lyapunov exponent as the mainline. According to the unity of the whole signal in different stages, a method to study the characteristic in stage was proposed. First of all, we made phase space reconstitution to the typical seven normal and abnormal heart sound signals. Then, we calculated the largest Lyapunov exponents according to the phase space reconstitution parameters. At last, we compared and analyzed the mean values of the largest Lyapunov exponents. The mean value of the normal heart sound signal in S1 was 0.145, which was much larger than that of the abnormal signals and the mean value of the normal heart sound signal in S2 was larger than that of the abnormal ones, too. This conclusion means that there are chaotic characteristic in the heart sound signals and the degree of chaos in normal heart sounds is higher than that in the abnormal heart sound signals.

Nowadays, business process has the problem of no unified standard, the lack of machine-understandable semantics and so on. Thus, in order to make the business analysts and IT staff have no communication obstacles to process modeling, we may make use of the standard that both sides can understand to express business process-introducing ontology technology. Therefore, this paper, from the bottleneck of logistics distribution business process, constructs logistics distribution domain ontology, and adds semantics for business process. It helps to achieve business process automation and intelligent, and may reduce the workload of user. At the same time, we also solve the problems of the concept sharing and information integration in logistics distribution field.

Seeking a way non-invasive and adaptive to differentiate the normal and abnormal heart sound signals to provide more valuable reference method to the clinical diagnosis. This paper made the largest Lyapunov exponent as the mainline. According to the unity of the whole signal in different stages, a method to study the characteristic in stage was proposed. First of all, we made phase space reconstitution to the typical seven normal and abnormal heart sound signals. Then, we calculated the largest Lyapunov exponents according to the phase space reconstitution parameters. At last, we compared and analyzed the mean values of the largest Lyapunov exponents. The mean value of the normal heart sound signal in S1 was 0.145, which was much larger than that of the abnormal signals and the mean value of the normal heart sound signal in S2 was larger than that of the abnormal ones, too. This conclusion means that there are chaotic characteristic in the heart sound signals and the degree of chaos in normal heart sounds is higher than that in the abnormal heart sound signals.

Semantic process modeling approaches are used in modelling, making use of the process ontology, which is the preferred BPMO. In the process of semantically modeling, using ontology to describe the business process is an important step. Therefore, the text proposed for BPMO-based OWL representation of business process, lays the foundation for resolving issues, such as semantic annotation, machine-understandable, and reasoning on business process. We will put forward the construction and representation of our business process knowledge; examine the workshop business process activities; according to business rules, describe business processes on the basis of the BPMO; represent BPMO-based process on the basis of ontology modeling language OWL; model the process on the foundation of softeware BPMO Modeller. Workshop product packaging as an example, we will verify business processes based on BPMO methods.