Probabilistic symmetric encryption have already been widely studied, from a theoretical point of view. Nevertheless, many applications require length-preserving encryption, to be patched at a minimal cost to include privacy without modifying the format (e.g. encrypted filesystems). In this paper, we thus consider the security notions for length-preserving, deterministic and symmetric encryption...

In this era, it is essential to know the customer’s necessity before they themselves. The Recommendation system a sub-class of machine learning which deals with user data offer relevant content or product based on their taste. This paper aims develop an integrated recommendation using statistical theory and methods. Therefore, conventional Item Based Collaborative filtering probabilistic approa...

In this work we continue the study of the Weyl asymptotics of the distribution of eigenvalues of non-self-adjoint (pseudo)differential operators with small random perturbations, by treating the case of multiplicative perturbations in arbitrary dimension. We were led to quite essential improvements of many of the probabilistic aspects. Résumé Dans ce travail nous continuons l’étude de l’asymptot...

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 ...

The present work is an extension of the work that appeared in the article titled “Pseudorandom Pattern Generation by a 4-Neighborhood Cellular Automata (4NCA) using a Probabilistic Analysis”. In this paper we propose a probabilistic analysis based technique for selecting good CA rules that can be used in pseudo random pattern generation. The proposed technique is applied on a CA of neighborhood...

The application of simulation software has proven to be a crucial tool for tsunami hazard assessment studies. Understanding the potentially devastating effects tsunamis leads development safety and resilience measures, such as design evacuation plans or planning economic investment necessary quickly mitigate their consequences. This article introduces pseudo-probabilistic seismic-triggered appr...

title: An Error Bound for the Pseudo Expectation: 1D Case author: Osamu Watanabe and Johannes Schneider affiliation: Dept. of Mathematical and Computing Sciences, Tokyo Institute of Technology W8-25, Tokyo 152-8552 email: [email protected] acknowledgments to financial supports: Supported in part by a Grant-in-Aid for Scientific Research on Priority Areas “Statical-Mechanical Approach to ...

We consider multivariate pseudo-linear functions over finite fields of characteristic two. A pseudo-linear polynomial is a sum of guarded linear-terms, where a guarded linear-term is a product of one or more linear-guards and a single linear term, and each linear-guard is again a linear term but raised to the power q-1, where q is the field size. Pseudo-linear functions over GF(2) are given by ...

Fatigue damage of engineering materials severely affects the serviceability their structures. It is impracticable to accurately predict fatigue process due variability material properties, microstructure heterogeneity and others. This study aims track entire viscoelastic by coupling with mechanism. A typical material, asphalt binder, widely used in pavement selected for investigation this study...