this study investigated the effectiveness of individual and collaborative outputbasedfocus-on-form instructional tasks on the acquisition of english inversionstructures by efl learners. moreover, it explored the developmental trend oflearners’ inversion acquisition. to this end, 60 homogeneous efl learners wereassigned to individual and collaborative output groups. they were exposed to textsenc...

This paper is concerned with behavior analysis and improvement of wind turbines with Doubly Fed Induction Generator (DFIG) when using a new fractional-order control strategy during wind variations. A doubly fed induction generator, two types of variable frequency power electronic converters and two input wind waveforms are considered. A fractional-order control strategy is proposed for the wind...

-We propose a new method for the use of genetic algorithms to synthesize a finite state machine consistent with a given input/output sequence set. Our approach improves the method previously used by many researchers by omitting the evolution of complete FSM but rather evolve only the state transition function. The output will later be inferred from the input/output sequence set. The results sho...

If a system has more than one input or output, it is called multi-input/multi-output (MIMO) or multivariable. The poles for multivariable systems are defined the same as for single-input/single/output (SISO) systems. On the other hand, for MIMO systems, there are several kinds of zeros and the discussion of zeros is complex. A complete treatment is given in terms of the Smith and McMillan forms...

A frequent problem in estimating logistic regression models is a failure of the likelihood maximization algorithm to converge. In most cases, this failure is a consequence of data patterns known as complete or quasi-complete separation. For these patterns, the maximum likelihood estimates simply do not exist. In this paper, I examine how and why complete or quasi-complete separation occur, and ...