according to the global fuel crisis, it seems necessary to use alternative fuel instead of gasoline. since the natural gas is cheaper, have higher frequency than gasoline and less pollution, it is a suitable fuel. many efforts have been done in order to replace gasoline with natural gas. one of the methods is to inject natural gas and gasoline fuel simultaneously and to use the benefits of both...

In this paper we classify simultaneous multithreaded architectures based on how they select instructions issued in a single cycle. This classiication allows us to study the present trend of technology as well as to explore the new avenues for improvements in simultaneous multithreaded architectures. Based on our classi-cation, we study the impact of various parameters of simultaneous multithrea...

This paper introduces an iterative method to estimate the cointegrating vectors in the error correction models. The method provides the asymptotically efficient estimators for the cointegrating vectors if iterated once or more. If it is iterated until convergence, we may obtain the maximum likelihood estimator by Johansen. For all values of 1 ≤ k ≤ ∞, the k-step iterative estimators are asympto...

This research sought to investigate the relationship between simultaneous interpreters’ oral cloze performance, their emotional intelligence, and gender. In other words, the study tried to predict the variability in performance on simultaneous interpreting (SI) oral cloze test based on the variability in gender, emotional quotient (EQ) and its subscales. To this end, a number of seventy partici...

Complexity of simultaneous interpreting has long attracted the interest of researchers and led them to explore different linguistic, psychological, cognitive, social, and neurological factors involved in enabling the human mind to perform such a difficult task. Within the framework of cognitive studies of interpreting, the authors of this study aimed at exploring the relationship between select...

This paper proposed a solution to the Finite Escape Time problem in H∞ Filter based Simultaneous Localization and Mapping problem. Finite escape time has been one of the obstacle that holding the realization of H∞ Filter in many application. For this reason, a method of decorrelating some of the updated state covariance of the filter is suggested to avoid the finite escape time from occurred du...

We address the problem of robot localization based on eigenspace representations of a collection of views of the workspace, often referred to as appearance based methods. We study several approaches to build such eigenspaces in an incremental fashion (subspace tracking), thereby allowing the simultaneous localization and mapping of a mobile vehicle. We see how different ways of determining whet...

Learning maps from sensor data has been addressed since more than two decades by Simultaneous Localization and Mapping (SLAM) systems. Modern state-of-the-art SLAM approaches exhibit excellent performances and are able to cope with environments having the scale of a city. Usually these methods are entailed for on-line operation, requiring the data to be acquired in a single run, which is not al...