Abstract: The present invention provides a low-energy coastal beach restoration method, comprising: constructing a convex beach berm, determining an aspect ratio of the beach berm edge, determining a beach face slope, performing sand replenishment, determining the dredging zone and dredging depth, and determining the steps of building a sediment groin. The present invention utilizes the feature of the convergence effect of the wave energy on the headland, artificially constructs a convex headland shaped beach berm, and determines the required beach face range and slope according to the convex beach berm edge. During beach restoration, dredging around the beach face, while reducing mud sources and increasing the nearshore water depth, it also builds a convex nearshore terrain, which effectively increases the wave energy at the restoration site and improves the coast muddy situation of low-energy coasts.

Abstract: The present invention provides a low-energy coastal beach restoration method, comprising: constructing a convex beach berm, determining an aspect ratio of the beach berm edge, determining a beach face slope, performing sand replenishment, determining the dredging zone and dredging depth, and determining the steps of building a sediment groin. The present invention utilizes the feature of the convergence effect of the wave energy on the headland, artificially constructs a convex headland shaped beach berm, and determines the required beach face range and slope according to the convex beach berm edge. During beach restoration, dredging around the beach face, while reducing mud sources and increasing the nearshore water depth, it also builds a convex nearshore terrain, which effectively increases the wave energy at the restoration site and improves the coast muddy situation of low-energy coasts.

Abstract: The present disclosure discloses a method for detecting suspicious groups in collaborative stock transactions based on a bipartite graph. The method includes: determining transaction events and suspicious accounts as two different kinds of nodes of the bipartite graph based on historical stock transaction data, and searching for a transaction event and filtering out a suspicious account in an iterative updating loop until a set of transaction events and a set of suspicious accounts have converged; and constructing a collaborative transaction graph among accounts based on the set of transaction events and the set of suspicious accounts that have converged, performing a community division based on the collaborative transaction graph among accounts to determine one or more account communities that perform the collaborative stock transactions, and determining the one or more account communities as the suspicious groups in the collaborative stock transactions.