In this paper, we measure the privacy leakage via studying whether graph representations can be inverted to recover used generate them reconstruction attack (GRA). We propose a GRA that recovers graph's adjacency matrix from decoder minimizes loss between partial and reconstructed graph. study three types of are trained on graph, i.e., output convolutional network (GCN), attention (GAT), our pr...

This paper proposes an integrated approach to identify, evaluate, and improve the potential failures in a service setting. This integrated approach combines FCS-FMEA, GRA and profitability theory for better prioritization of the service failures by considering cost as an important issue and using the profitability theory in a way that the corrective actions costs are taken into account. Conside...

Undesired wall thickness distribution and flanging cracking easily occur in reverse drawing–flanging combined processes of steel spokes when improper process parameters are used. Thus, based on GRA (grey relational analysis) and FEM (finite element method), a GRA model for a reverse drawing–flanging combined process for high strength steel B550CL spoke was established and validated. The results...

The aim of this paper is to propose a new multi-sensor target recognition method for solving the problem which the discriminated object has multiple characteristics indexes. The method combines the concept of gray relational analysis (GRA) method and cumulative prospect theory. This method, the characteristic vector matrix was firstly transformed to standardize membership degree decision making...

BBackground: We have previously reported that immunization with GRA 2 antigen of Toxoplasma gondii induces protective immunity in CBA /J (H2k) and BALB/c mice (H2d). We aimed to examine whether immunization of a distinct strain of rodent with recombinant dense granule antigens (GRA2) combined with monophosphorryl lipid A (MPL) adjuvant elicits protective immune response against T. gondii. Metho...

Abstract The particleboard (PB) production is an extremely complex process, many operating parameters affecting panel quality. It a big challenge to optimize the PB parameters. of particle gluing have important influence on internal bond (IB) strength PB. In this study, using grey relation analysis (GRA) and support vector regression (SVR) algorithm, prediction model was developed accurately pr...