Barkhausen noise and hysteresis are explained in detail, and requires that must be met to model it successfully. The random eld Ising model is constructed using physical ideas. The dynamics of the model are discussed, as well as qualitative features and the reasoning behind why a critical point is expected. Theoretical methods, such as the epsilon expansion as well as scaling techniques are bri...

Random forests are a learning algorithm proposed by Breiman (2001) which combines several randomized decision trees and aggregates their predictions by averaging. Despite its wide usage and outstanding practical performance, little is known about the mathematical properties of the procedure. This disparity between theory and practice originates in the difficulty to simultaneously analyze both t...

Security protocols and encryption algorithms are basically based on random number generators. In this paper, a new random number generator architecture is introduced. The produced number word length is equal to 160 bits. The philosophy architecture relies on the usage of the SHA hash function. The offered security strength of this certain hash function ensures the unpredictability of the produc...

In this paper, we present the Anderson-Darling (AD) and Kolmogorov-Smirnov (KS) goodness of fit statistics for stationary and non-stationary random fields. Namely, we adopt an easy-to-apply method based on a random projection of a Hilbert-valued random field onto the real line R, and then, applying the well-known AD and KS goodness of fit tests. We conclude this paper by studying the behavior o...

abstract background: inappropriate prescription of vancomycin has been shown to be asso- ciated with induction of antibiotic resistance. the objective of this study was to deter- mine the incidence of inappropriate use of vancomycin in a tertiary care hospital in iran. methods: a descriptive cross-sectional investigation was performed from september 2004 to march 2005 in all units of a general ...

In order to study and compare the phosphate transporter gene codon usage and it's respond to the traits like salt tolerance, day length, Pollination and temperature in different plants, 100 isoform from 10 plants are extracted from NCBI website and then analyzed with Gene Infinity and Minitab 16 software. The result shows that the highest codon usage similarity (81.95%) was for wheat a...

Job scheduling is one the complicated problem in Cloud Computing. We intend a grouping method to develop the combinational backfill algorithm based on smadium and long queue technique using random fashion. The proposed algorithm helps to improve the resource gap, reduce the system idle time and helps to attain high resource usage and provide quality system in cloud environment. To make the most...

This paper provides a binary, token-based classification of German particle verbs (PVs) into literal vs. non-literal usage. A random forest improving standard features (e.g., bagof-words; affective ratings) with PV-specific information and abstraction over common nouns significantly outperforms the majority baseline. In addition, PV-specific classification experiments demonstrate the role of sh...

This paper describes the enhancements made to our GU-MLT-LT system (Günther and Furrer, 2013) for the SemEval-2014 re-run of the SemEval-2013 shared task on sentiment analysis in Twitter. The changes include the usage of a Twitter-specific tokenizer, additional features and sentiment lexica, feature weighting and random subspace learning. The improvements result in an increase of 4.18 F-measure...

Simulationhas become the tool of choice for an increasing number of networking researchers. Unfortunately, standard statistical techniques often cannot be applied when Internet-like heavy-tailed workloads are used as input. We present issues involved in using heavy-tailed distributions in network simulations, including three different methods for dealing with such distributions in simulation. W...