Modern computer architectures share physical resources between different programs in order to increase area-, energy-, and costefficiency. Unfortunately, sharing often gives rise to side channels that can be exploited for extracting or transmitting sensitive information. We currently lack techniques for systematic reasoning about this interplay between security and efficiency. In particular, th...

the nonlinear static procedures (nsps) proposed by design codes do not lead to reliable results especially for tall buildings. they generally provide inconsistent estimates of inelastic seismic demands, especially for the top floors due to their inabilities in considering the higher modes effects. in this paper, a new enhanced pushover procedure is proposed which is based on the envelope of the...

Gaussian processes (GP) regression is a powerful probabilistic tool for modeling nonlinear dynamical systems. The downside of the method its cubic computational complexity with respect to training data that can be partially reduced using pseudo-inputs. dynamics represented an autoregressive model, which simplifies static case. When simulating uncertainty propagated through function and simulati...

In this talk we describe a new type of probabilistic algorithm which we call Bellagio Algorithms: a randomized algorithm which is guaranteed to run in expected polynomial time, and to produce a correct and unique solution with high probability. These algorithms are pseudo-deterministic: they can not be distinguished from deterministic algorithms in polynomial time by a probabilistic polynomial ...

Future semiconductors no longer guarantee permanent deterministic operation. They are expected to show probabilistic behavior due to lowered voltages and shrinking structures. Compared to radiation-induced errors, probabilistic systems face increased error frequencies leading to unexpected bit-flips. Approaches like probabilistic CMOS provide methods to control error distributions which reduce ...

The problem of finding the most probable string for a distribution generated by a weighted finite automaton or a probabilistic grammar is related to a number of important questions: computing the distance between two distributions or finding the best translation (the most probable one) given a probabilistic finite state transducer. The problem is undecidable with general weights and is NP-hard ...

Abstract A new, analytical approach using the cumulant method is proposed for three-phase probabilistic power-flow (PPF) analysis. The to forming sensitivity matrix based on quantifying pseudo-inverse instead of inverse jacobian matrix, since it commonly singular in a distribution power network. results are compared with those obtained point-estimate (PEM) and Monte Carlo (MC) method, which use...

today analyzing seismicity hazard urban different areas is critical and inevitable due to develop and to expand cities in seismically active zones and naturally, the hazard because the earthquake is more in the bigger cities and the necessity to consider these hazards would be increased. expanding the cities in iran seismically active zones caused to be necessary to analyze earthquake hazard. b...