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Wireless sensor networks (WSNs) have emerged as an important application area resulting from the advancement of efficient short-range radio communication and miniaturization of computing devices. Nodes in such a network generally remain in an unattended environment and thereby they are prone to attack by adversaries. Therefore, the need of defending such attacks is of utmost importance. This paper...
In this paper, we investigate the combination of a novel computing paradigm referred to as Memory Based Computing (MBC) and an emerging non-volatile nanoscale memory technology, namely Spin-Torque Transfer Random Access Memory (STTRAM), to build a reconfigurable nanocomputing framework with high integration density, robustness and energy-delay efficiency. MBC uses a 2-D memory array as underlying...
Use of two-dimensional memory array for lookup table (LUT) based reconfigurable computing frameworks has been proposed earlier for improvement in performance and energy-delay product (EDP). In this paper, we propose an integrated solution for achieving significantly higher EDP in these frameworks by leveraging on the read-dominant memory access pattern. First, we propose to employ an asymmetric memory...
This paper presents new methods for restructuring logic networks based on fast Boolean techniques. The basis for these are 1) a cut-based view of a logic network, 2) exploiting the uniqueness and speed of disjoint-support decompositions, 3) a new heuristic for speeding these up, 4) extending these to general decompositions, and 5) limiting local transformations to functions with 16 or less inputs...
We significantly improve the dynamics of a vertical-cavity surface-emitting laser by using chirped rather than bandwidth-limited optical excitation. The optimal excitation pulse is found by a genetic algorithm in a learning loop.
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