The Methods to Improve Quality of Service by Accounting Secure Parameters

A solution to the problem of ensuring quality of service, providing a greater number of services with higher efficiency taking into account network security is proposed. In this paper, experiments were conducted to analyze the effect of self-similarity and attacks on the quality of service parameters. Method of buffering and control of channel capacity and calculating of routing cost method in the network, which take into account the parameters of traffic multifractality and the probability of detecting attacks in telecommunications networks were proposed. The both proposed methods accounting the given restrictions on the delay time and the number of lost packets for every type quality of service traffic. During simulation the parameters of transmitted traffic (self-similarity, intensity) and the parameters of network (current channel load, node buffer size) were changed and the maximum allowable load of network was determined. The results of analysis show that occurrence of overload when transmitting traffic over a switched channel associated with multifractal traffic characteristics and presence of attack. It was shown that proposed methods can reduce the lost data and improve the efficiency of network resources.Comment: 10 pages, 1 figure, 1 equation, 1 table. arXiv admin note: text overlap with arXiv:1904.0520

Les grands projets hydro-agricoles en zone aride : le périmètre de Bir Amir : (gouvernorat de Tataouine, Tunisie)

Dans les régions arides et désertiques du sud de le Tunisie, l'Etat aménage des oasis - Ibn Chabat à Tozeur, Régim Mâatoug et Matrouha à Kébili... - et des périmètres irrigués - Selsoul, Ouled Yahya, El-Bassatine... à Tataouine. Ces oasis et périmètres irrigués impliquent souvent l'exploitation de ressources hydrauliques non renouvelables. Dons le gouvernorat de Tataouine, plus de 20 périmètres publics irrigués ont été aménagés ces dix dernières années. Les objectifs fixés ne sont pas toujours atteints ; les projets sont confrontés à l'abandon des parcelles, à Ia mauvaise gestion et à l'exploitation partielle. L'étude du périmètre irrigué de Bir Amir, en 1997, permet de comprendre les stratégies des exploitants (cinq types d'exploitation ont été identifiés) et de souligner les difficultés techniques, liées à la gestion de l'eau, à la nouveauté de certaines productions agricoles proposées par le projet, au manque de moyens financiers des bénéficiaires et à l'éloignement du périmètre par rapport aux villages où ils vivent

Conditional Reverse Tet-Transactivator Mouse Strains for the Efficient Induction of TRE-Regulated Transgenes in Mice

Tetracycline or doxycycline (dox)-regulated control of genetic elements allows inducible, reversible and tissue specific regulation of gene expression in mice. This approach provides a means to investigate protein function in specific cell lineages and at defined periods of development and disease. Efficient and stable regulation of cDNAs or non-coding elements (e.g. shRNAs) downstream of the tetracycline-regulated element (TRE) requires the robust expression of a tet-transactivator protein, commonly the reverse tet-transactivator, rtTA. Most rtTA strains rely on tissue specific promoters that often do not provide sufficient rtTA levels for optimal inducible expression. Here we describe the generation of two mouse strains that enable Cre-dependent, robust expression of rtTA3, providing tissue-restricted and consistent induction of TRE-controlled transgenes. We show that these transgenic strains can be effectively combined with established mouse models of disease, including both Cre/LoxP-based approaches and non Cre-dependent disease models. The integration of these new tools with established mouse models promises the development of more flexible genetic systems to uncover the mechanisms of development and disease pathogenesis

A Cyclic Universe With Varying Cosmological Constant in f(R,T)f(R,T) gravity

A new kind of evolution for cyclic models in which the Hubble parameter oscillates and keeps positive has been explored in a specific $f(R,T)$ gravity reconstruction. A singularity-free cyclic universe with negative varying cosmological constant has been obtained which supports the role suggested for negative $\Lambda$ in stopping the eternal acceleration. The cosmological solutions have been obtained for the case of a flat universe, supported by observations. The cosmic pressure grows without singular values, it is positive during the early-time decelerated expansion and negative during the late-time accelerating epoch. The time varying EoS parameter $\omega(t)$ shows a quintom behavior and is restricted to the range $-2.25 \leq \omega(t) \lesssim \frac{1}{3}$. The validity of the classical linear energy conditions and the sound speed causality condition has been studied. The non-conventional mechanism of negative cosmological constant that are expected to address the late-time acceleration has been discussed.Comment: 15 pages, 10 figure

THE TWO SCOPES OF FUZZY PROBABILITY THEORY

The aim of this work is to compare between what seems to be entirely different two highly developing “fuzzy probability” theories. The first theory had been developed firstly by statisticians and the other separately by physicists. We start by indicating the needs to develop such theories and what helped to develop each, then we will establish the basis of the two theories and illustrate that each indeed extends classical probability theory. Moreover, we will try to see whether or not any of the two theory can be embedded into the other

Intelligent Health Monitoring of Machine Bearings Based on Feature Extraction

This document is the Accepted Manuscript of the following article: Mohammed Chalouli, Nasr-eddine Berrached, and Mouloud Denai, ‘Intelligent Health Monitoring of Machine Bearings Based on Feature Extraction’, Journal of Failure Analysis and Prevention, Vol. 17 (5): 1053-1066, October 2017. Under embargo. Embargo end date: 31 August 2018. The final publication is available at Springer via DOI: https://doi.org/10.1007/s11668-017-0343-y.Finding reliable condition monitoring solutions for large-scale complex systems is currently a major challenge in industrial research. Since fault diagnosis is directly related to the features of a system, there have been many research studies aimed to develop methods for the selection of the relevant features. Moreover, there are no universal features for a particular application domain such as machine diagnosis. For example, in machine bearing fault diagnosis, these features are often selected by an expert or based on previous experience. Thus, for each bearing machine type, the relevant features must be selected. This paper attempts to solve the problem of relevant features identification by building an automatic fault diagnosis process based on relevant feature selection using a data-driven approach. The proposed approach starts with the extraction of the time-domain features from the input signals. Then, a feature reduction algorithm based on cross-correlation filter is applied to reduce the time and cost of the processing. Unsupervised learning mechanism using K-means++ selects the relevant fault features based on the squared Euclidian distance between different health states. Finally, the selected features are used as inputs to a self-organizing map producing our health indicator. The proposed method is tested on roller bearing benchmark datasets.Peer reviewe

Overcoming barriers to a successful transition from pediatric to adult care

As life expectancy for people with cystic fibrosis (CF) has increased dramatically, so has the need for a guided, structured transition from pediatric to adult-focused care. A formalized transition program allows for seamless transfer of patients between providers, helping to ensure continuity of care, and avoid potential declines associated with inconsistent medical care. New CF Center guidelines issued by the CFF strongly recommend that each center establish a transition program for age-appropriate transition to an adult CF clinic. In this article, we explore the remaining barriers to establishing a transition program in a CF Center and offer examples of several successful models. We describe CFF-sponsored and other initiatives that exist to support centers in establishing a transition program and discuss the need for ongoing research in this area