Tensor data with rich structural information become increasingly important in process modeling, monitoring, and diagnosis manufacturing medical other applications. Here is referred to the of tensor components such as sparsity, smoothness, low-rank, piecewise constancy. To reveal useful from data, we propose decompose into summation multiple based on their different information. In this article,...

We propose four new structural decomposition techniques for Constraint Satisfaction Problems. We compare these four techniques both theoretically and experimentally with hinge decomposition and hypertree decomposition. Our experiments show that one of our techniques offers the best trade-off between the computational cost of the decomposition and the width of the resulting decomposition tree.

This paper applies the Sobol’ decomposition of a function of many random variables to a problem in structural mechanics, namely the collapse of a two story two bay frame under gravity load. Prior to introduction of this example application, the Sobol’ decomposition itself is reviewed and extended to cover the case in which the input random variables have Gaussian distribution. Then, an illustra...

In this paper we consider linear systems with faults. We present a new system decomposition well suited for sensor location in the Fault Detection and Isolation problem. We deal with this problem when the system under consideration is structured, that is, the entries of the system matrices are either fixed zeros or free parameters. To such structured systems one can associate a graph. We presen...

The literature provides several structural decomposition methods for identifying tractable subclasses of the constraint satisfaction problem. Generalized hypertree decomposition is the most general of such decomposition methods. Although the relationship to other structural decomposition methods has been thoroughly investigated, only little research has been done on efficient algorithms for com...

Abstract In this paper,using a structural decomposition analysis (SDA) and the latest available input-output tables we investigate the sources of labor productivity growth in Norway, South Korea and Iran. Then, the contribution of each source in the growth of labor productivity is discussed. The results show that among six factors, value added coefficient is the most influencing factoracross al...

In this study, the structural performance of the gravity-type caisson structure is assessed from vibration-based system identification. To achieve the objective, the following approaches are implemented. Firstly, a structural identification algorithm based on the use of vibration characteristics is outlined. Structural stiffness and damping are selected as two key parameters to be identified fo...