Abstract: Described are an encoding method and system for ROAs. The encoding method includes the following steps: given a set of authorized IP prefixes an AS which are maintained with an IP address trie. By specifying a sequence of hanging levels on the IP address trie, it is divided into a set of non-overlapping sub-trees, each rooted at a hanging level. A node on a hanging level uniquely defines a sub-tree rooted at it, whose prefix can be encoded as the identifier of this sub-tree. All authorized prefixes covered by a sub-tree can be encoded into a bitmap of 2h bits, where h is the height of this sub-tree. Thus, the set of authorized IP prefixes of an AS is encoded into several tuples (identifier, bitmap).

Abstract: An injection molding adaptive compensation method based on melt viscosity fluctuation comprising: initializing equipment; in a pre-calculation stage, introducing melt into a mold cavity at a constant rate, collecting pre-calculation parameters in each sampling period T, and obtaining a first injection work in the pre-calculation stage by using a first calculation formula; in a self-adaptation stage, introducing the melt into the mold cavity at a constant rate, collecting adaptive parameters in each sampling period T, and obtaining a second injection work in the self-adaptation stage by using a second calculation formula; calling the PVT characteristics of current processing raw materials to construct a PVT relation function, and obtaining an optimized V/P switching point by using a PVT weight control model; and according to the injection work at the pre-calculation stage and the injection work at the present stage, obtaining an optimized holding pressure according to an injection work adjustment model.

Abstract: An injection molding adaptive compensation method based on melt viscosity fluctuation comprising: initializing equipment; in a pre-calculation stage, introducing melt into a mold cavity at a constant rate, collecting pre-calculation parameters in each sampling period T, and obtaining a first injection work in the pre-calculation stage by using a first calculation formula; in a self-adaptation stage, introducing the melt into the mold cavity at a constant rate, collecting adaptive parameters in each sampling period T, and obtaining a second injection work in the self-adaptation stage by using a second calculation formula; calling the PVT characteristics of current processing raw materials to construct a PVT relation function, and obtaining an optimized V/P switching point by using a PVT weight control model; and according to the injection work at the pre-calculation stage and the injection work at the present stage, obtaining an optimized holding pressure according to an injection work adjustment model.