The state of VLSI testing - IEEE Potentials

Ieee Transactions on Core Vlsi Ieee Transactions on Image Processing Ieee Transactions on Digital System Design Ieee Transactions on Testing Ieee Transactions on Communication Ieee Transactions on Low Power Vlsi

Fuzzy-based CMOS circuit partitioning in built-in current testing

We propose a fuzzy-based approach which provides a soft threshold to determine the module size for CMOS circuit partitioning in built-in current testing (BICT). Experimental results show that our design approach indeed provides a feasible way to exploit the design space of BICT partitioning in comparison with other approaches with a fixed threshold, and a better module size can thus be determin...

State of the Journal

Dimitris Gizopoulos is a professor in the Department of Informatics & Telecommunications, the National and Kapodistrian University of Athens where he leads the Computer Architecture Laboratory. His research focuses on the dependability, performance, and power efficiency of computing systems architectures built around high-performance and embedded multicore CPUs as well as GPUs. He has published...

An Effective Attack-Resilient Kalman Filter-Based Approach for Dynamic State Estimation of Synchronous Machine

Kalman filtering has been widely considered for dynamic state estimation in smart grids. Despite its unique merits, the Kalman Filter (KF)-based dynamic state estimation can be undesirably influenced by cyber adversarial attacks that can potentially be launched against the communication links in the Cyber-Physical System (CPS). To enhance the security of KF-based state estimation, in this paper...

Testability analysis and behavioral testing of the Hopfield neural paradigm

Testability analysis and test pattern generation for neural architectures can be performed at a very high abstraction level on the computational paradigm. In this paper, we consider the case of Hopfield’s networks, as the simplest example of networks with feedback loops. A behavioral error model based on Finite State Machines is introduced for this neural paradigm, to allow for a good represent...