A method for computing the Reed-Muller spectrum of a digital logic circuit based on the circuit topology is developed. The technique is based on the definition and use of a transfer matrix to characterize the circuit of interest. The transfer matrix is computed through the use of the structure of the circuit and the transfer matrices of the individual logic gates. The resulting transfer matrix ...

| This paper describes an innovative new integrated lecture/laboratory course for electrical engineering juniors. The course, designed as the second course in a year-long sequence in electromagnetics, brings to life fundamental principles of electromagnetics through study of the circuit, signal, and system concepts used in today's wireless communication systems. The course is taught in a new la...

In this paper, we present a novel analysis approach for large on-chip power grid circuit analysis. The new approach, called ETBR for extended truncated balanced realization, is based on model order reduction techniques to reduce the circuit matrices before the simulation. Different from the (improved) extended Krylov subspace methods EKS/IEKS [2,3], ETBR performs fast truncated balanced realiza...

Neuromorphic engineering is a promising computing paradigm in next-generation information and communication technology. In particular, spiking neural networks are expected to reduce power consumption drastically owing their event-driven operation. The spike-timing-dependent plasticity (STDP) rule, which learns from local spike-timing differences between neurons, biologically plausible learning ...

This thesis is devoted to the study of computing with unreliable resources, a paradigm emerging in a variety of technologies, such as circuit design, cloud computing, and crowdsourcing. In circuit design, as we approach the physical limits, semiconductor fabrication has been increasingly susceptible to fabrication flaws, resulting unreliable circuit components. In cloud computing, due to co-hos...

Circuit analysis algorithms such as learning, SAT, minimum circuit size, and compression imply circuit lower bounds. We show a generic implication in the opposite direction: natural properties (in the sense of Razborov and Rudich) imply randomized learning and compression algorithms. This is the first such implication outside of the derandomization setting. As an application, we use known natur...

The Reconfigurable Hardware in Orbit (RHinO) project is focused on creating a set of design tools that facilitate and automate design techniques for reconfigurable computing in space, using SRAM-based field-programmable-gate-array (FPGA) technology. In the final year of the project, design tools that have been created to visualize and analyze an FPGA circuit for radiation weaknesses and power i...

The objective of this study is to verify the importance of the capabilities of cloud computing services in managing and analyzing big data in business organizations because the rapid development in the use of information technology in general and network technology in particular, has led to the trend of many organizations to make their applications available for use via electronic platforms hos...

The sulfur regulatory circuit of the filamentous fungus, Neurospora crassa, consists of a set of unlinked structural genes which encode sulfur catabolic and two major regulatory genes which govern their expression. The cys-3 regulatory gene encode a transacting regulatory protein which activates the expression of cys-14 and ars, whereas the other regulatory genes Scon-l and Scon-2 appear to...