the objective of this review to be submitted in two independent parts, for steel frames and for rc frames, is to compare their structural performance with respect to the proposed n2-method, and so also of the consequent convenience of using pushover methodology for the seismic analysis of these structures. a preliminary investigation is presented on a pushover analysis used for the seismic perf...

this paper is pertained with the problem of admissibility analysis of uncertain discrete-time nonlinear singular systems by adopting the state-space takagi-sugeno fuzzy model with time-delays and norm-bounded parameter uncertainties. lyapunov krasovskii functionals are constructed to obtain delay-dependent stability condition in terms of linear matrix inequalities, which is dependent on the low...

in this paper, we propose the least-squares method for computing the positive solution of a m  n fully fuzzy linear system (ffls) of equations, where m > n, based on kaman's arithmetic operations on fuzzy numbers that introduced in [18]. first, we consider all elements of coecient matrix are non-negative or non-positive. also, we obtain 1-cut of the fuzzy number vector solution of the n...

The Linear System Analyzer (LSA) is a component-based problem-solving environment (PSE) for the manipulation and solution of large sparse linear systems of equations. Both the underlying component infrastructure and its application to the problem area of linear systems are introduced. Initial results indicate the utility of clearly separating the PSE infrastructure from the particular problem d...

• σi(A) denotes the ith largest singular value of A, σmin(A) denotes the minimal nonzero singular value of A and σmax(A) denotes the maximal singular value of A; • If U has orthogonal columns, that is, UTU = I, then ‖Ux‖ = ‖x‖ and ‖U>y‖ ≤ ‖y‖; • ‖Ax‖ ≤ σmax(A)‖x‖, where σmax(A) denotes the largest singular value of A; • Note that we do NOT have in general ‖Ax‖ ≥ σmin(A)‖x‖, where σmin(A)(> 0) d...

This paper describes 3D reconstruction and visualization of contents of a cargo container using a non-intrusive gamma ray imaging system. A linear pushbroom scanning model is built for such systems. Using two images with different scanning angles, we can retrieve 3D information of the contents of the container. Furthermore, we can visualize this information through reconstruction or generate ne...

In this paper, the combined effects of image gathering, sampling, and reconstruction are analyzed in terms of image fidelity. The analysis is based upon a standard end-to-end linear system model which is sufficiently general so that the results apply to most line-scan and sensor-array imaging systems. Shift-variant sampling effects are accounted for with an expected value analysis based upon th...