This paper introduces a novel, non-local characterization of critical points and their global relation in 2D uncertain scalar fields. The characterization is based on the analysis of the support of the probability density functions (PDF) of the input data. Given two scalar fields representing reliable estimations of the bounds of this support, our strategy identifies mandatory critical points: ...

Locality Sensitive Hashing (LSH) is a popular method for high dimensional indexing and search over large datasets. However, little efforts have put forward to utilizing LSH in mobile applications for processing spatio-textual similarity queries, such as find nearby shopping centers that have a top ranked hair salon. In this paper, we present hybrid-LSH, a new LSH method for indexing data object...

Microsimulations focus on modeling routine activities of individuals and have been used for modeling and planning urban systems like transportation, energy demand, and epidemiology. On the other hand, planning for emergency situations (e.g., disasters) needs to account for human behavior which is not routine or pre-planned but depends upon the current situation like the amount of physical damag...

The purpose of this paper is to compare side-by-side the NTRU and BGV schemes in their non-scale invariant (messages in the lower bits), and their scale invariant (message in the upper bits) forms. The scale invariant versions are often called the FV and YASHE schemes. As an additional optimization, we also investigate the affect of modulus reduction on the scale-invariant schemes. We compare t...

In this paper, we present a novel and effective fault detection diagnosis (FDD) method for wind energy converter (WEC) system with nominal power of 15 KW, which is designed to significantly reduce the complexity computation time possibly increase accuracy diagnosis. This strategy involves three significant steps: first, size reduction procedure applied training dataset, uses hierarchical K-mean...

The increasing popularity of remote Cloud File Sharing (CFS) has become a major concern for privacy breach sensitive data. Aiming at this concern, we present new resource sharing framework by integrating enterprise-side Attribute-Based Access Control/eXtensible Control Markup Language (ABAC/XACML) model, client-side Ciphertext-Policy Encryption (CP-ABE) scheme, and cloud-side CFS service. Moreo...

background: essential oils of medicinal plants such as chamomile are very complex natural mixtures which can contain compounds at quite different concentrations and some of their components have antioxidant and antimicrobial activities in foodstuff. objective: the antioxidant and antimicrobial effects of chamomile essential oil in cake preparation were evaluated during 75 days of storage. metho...

introduction: unsaturated fatty acids , one of the most important components of biological membranes , are very sensitive to oxidation processes. damage to cells and tissues by oxidation of these kinds of acids is one of the most important contributing  factors in many diseases, such as, atherosclerosis, rheumatoid arthritis and cancer. there are some available antioxidant synthetic compounds i...

For emerging data storage systems, allowing errors during writing and correcting them by customized coding and signal processing during reading may provide higher customer densities than the conventional approach of trying to completely avoid write errors. Two high-density storage channels with write errors are investigated in this thesis; two-dimensional magnetic recording (TDMR) and advanced ...

Secure processors with hardware-enforced isolation are crucial for secure cloud computation. However, commercial have underestimated the capabilities of attackers and failed to provide execution environments capable protecting sensitive information against side-channel attacks. Remote Attestation protocols based on traditional signature schemes not under attacks anymore since their secret keys ...