The Derivation of ‘Verbless’ Sentences in Arabic: A Probe-Goal-Agree Approach

In this paper, I provide an analysis of ‘verbless’ sentences in Arabic (mainly, the Standard variety, SA) in light of the claims of the feature-based probe-goal-Agree system of Chomsky (2001, 2004) and such assumptions as held by Biberauer et al. (2010) about probe-goal Agree relations being parameterized according to the feature-structure of functional elements derived in sentence structure. This analysis is essentially different from previous analyses in the literature relating to ‘verbless’ sentences in Arabic, such as Benmamoun’s (2008). In the present analysis, verbal inflection is the product of the valuation of a T-feature of verbs – i.e., [uT], as the unvalued uninterpretable counterpart of [iT] of tense (T as a node in sentence structure) in the syntax of languages. Using this framework of assumptions, I subsequently extend on Halila’s (1992) analysis of the famma-construction in Tunisian Arabic. In such constructions, famma-raising is the result of the verb-like nature of famma as an auxiliary or copula, which ultimately enters a probe-goal-Agree relation with T for tense interpretation at Logical Form (LF) in the syntax

A versatile traffic and power aware performability analysis of server virtualized systems

We propose in this paper a workload-aware performability analysis of elastic server virtualized systems (SVS) based on non-Markovian SRN modeling approach. This analysis investigates correlations between several modules involving workload-aware power management (PM) mechanism, virtual machine (VM) and VM monitor (VMM) subject to aging, failure and rejuvenation. We show through numerical results howperformance (i.e. waiting time), power usage as well as powerperformance efficiency are impacted by power management attribute when using time varying workload with bursty nature. We show also how we can quantify PM attributes leading to small waiting time and a good utilization of the active power state

Voltage Stability Control of Electrical Network Using Intelligent Load Shedding Strategy Based on Fuzzy Logic

As a perspective to ensure the power system stability and to avoid the vulnerability leading to the blackouts, several preventive and curative means are adopted. In order to avoid the voltage collapse, load shedding schemes represent a suitable action to maintain the power system service quality and to control its vulnerability. In this paper, we try to propose an intelligent load shedding strategy as a new approach based on fuzzy controllers. This strategy was founded on the calculation of generated power sensitivity degree related to those injected at different network buses. During the fault phase, fuzzy controller algorithms generate monitor vectors ensuring a precalculated load shedding ratio in the purpose to reestablish the power balance and conduct the network to a new steady state

Performance analysis of a novel downlink scheduling algorithm for LTE systems

http://conferences.computer.org/inds/2014/Performance analysis of a novel downlink scheduling algorithm for LTE system