We present the design and initial evaluation of a resilient operating system architecture that leverages HW architectures combining few resilient with many non-resilient CPU cores. To this end, we build our system around a Reliable Computing Base (RCB) consisting of those software components that must work for reliable operation, and run the RCB on the resilient cores. The remainder of the syst...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

recently, hardware sensors are widely used in monitoring and measurement of water quality parameters. constraint of the instrument to measure some water quality parameters such as the 5-day biochemical oxygen demand (bod5), which are time consuming, causes efforts are diverted to the use of software sensors for online prediction of bod5. the main goal of this research is developing an appropria...

In a recent paper [1], Zhang and Xiao describe a technique on constructing almost optimal resilient functions on even number of variables. In this paper, we will present an extensive study of the constructions of almost optimal resilient functions by using the generalized MaioranaMcFarland (GMM) construction technique. It is shown that for any given m, it is possible to construct infinitely man...

Worldwide water governance failures undermine effective water management under uncertainty and change. Overcoming these failures requires employing more adaptive, resilient water management approaches; yet, while scholars have advance theory of what adaptive, resilient approaches should be, there is little empirical evidence to support those normative propositions. To fill this gap, we reviewed...

Garg, Jain, and Sahai first consider zero knowledge proofs in the presence of leakage on the local state of the prover, and present a leakageresilient-zero-knowledge proof system for HC (Hamiltonian Cycle) problem. Their construction is called (1 + ε)-leakage-resilient zero-knowledge, for any constant ε > 0, because the total length of the leakage the simulator needs is (1 + ε) times as large a...

BACKGROUND The main focus of studies of individuals at ultra-high risk for psychosis (UHR) has been on identifying brain changes in those individuals who will develop psychosis. However, longitudinal studies have shown that up to half of UHR individuals are resilient, with symptomatic remission and good functioning at follow-up. Yet little is known about brain development in resilient individua...

HYDRAstor is a scalable, secondary storage solution aimed at the enterprise market. The system consists of a back-end architectured as a grid of storage nodes built around a distributed hash table; and a front-end consisting of a layer of access nodes which implement a traditional file system interface and can be scaled in number for increased performance. This paper concentrates on the back-en...

1 In this paper we derive several important results towards a better understanding of propagation characteristics of resilient Boolean functions. We first introduce a new upper bound on nonlinearity of a given resilient function depending on the propagation criterion. We later show that a large class of resilient functions admit a linear structure; more generally, we exhibit some divisibility p...