Abstract. The risk of PPP project is one of the issues the most importantly focused by all participants in the project management; the establishment of a scientific risk early warning system is an effective way to control the risk of PPP projects. Based on the design of the PPP project risk early warning index system, the evaluation indexes were subtracted with rough set; a nonlinear simulation early warning model of PPP project risk was constructed with BP neural network; the network model was simulated through the sample data to obtain a good simulation effect.

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SaaS (Software as a Service) and cloud computing are two emerging concepts. This article will combine them together and conduct a comprehensive research, SaaS can solve problems such as insufficient hardware and bandwidth by using cloud computing. In the mean time, cloud computing can make its own powerful integrated resources perform more adequately through the SaaS model; thus all structure the cloud computing SaaS delivery model for talents training at university.

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By introducing gain/loss perturbation into periodic refractive index modulation, the unified coupled-mode equations and their close-form analytical solutions of complex long-period-grating-assisted-coupler (LPGAC) are deduced. Characteristics of power coupling are investigated and results show that unidirectional nonreciprocal signal transferring can be achieved by matching gain/loss with the refractive index modulation. Utilizing the feature of complex LPGAC, a novel optical signal buffer is proposed and its structure is examined in detail.