This paper investigates the impact of the volatility of the underlying macroeconomic fundamentals on

exchange rate volatility utilizing the bounds testing approach to cointegration. The results show that, in the

long run the volatility of the money supply is the sole determinant, whereas in the short run overshooting

is found.

ABSTRACT

Punkt (German for period) is a sentence boundary detection system that divides an English text into a list of sentences using an unsupervised algorithm developed by Kiss and Strunk (2006) [6]. This algorithm is based-on the assumption that a large number of ambiguities in the determination of sentence boundaries can be eliminated once abbreviations have been identified.

    The Punkt system was adapted to support Arabic language. The modified Punkt is trained on Arabic Corpus to build a model for abbreviation words, collocations, and words that start sentences. An evaluation of the performance of the modified Punkt system has revealed that an accuracy rate close to 99% has been achieved for detecting Arabic sentence boundaries.

It is possible to generate an SQL schema from XML Schema manually; however automatically generating an SQL schema from XML Schema would generally be very beneficial. This paper presents XML Schema-driven generation architecture components with XSL Stylesheet. In this paper, an algorithm for this type of generation is presented. The inputs of the algorithm are XML Schema and XSL Stylesheet, and the output is an SQL schema. The proposed algorithm shows how this component can automatically be generated. An evaluation of the proposed algorithm is also presented by testing the algorithm with different examples.  

The induction motor is the most common driver in industry and has been previously proposed as a means of inferring the condition of an entire equipment train, predominantly through the measurement and processing of power supply parameters. This has obvious advantages in terms of being non-intrusive or remote, less costly to apply and improved safety. This paper describes the use of the induction motor current to identify and quantify a number of common faults seeded on a two-stage reciprocating compressor. An analysis of the compressor working cycle leads to current signal the components that are sensitive to the common faults seeded to compressor system, and second- and third-order signal processing tools are used to analyse the current signals. It is shown that the developed diagnostic features: the bispectral peak value from the amplitude modulation bispectrum and the kurtosis from the current gives rise to reliable fault classification results. The low feature values can differentiate the belt looseness from other fault cases and valve leakage and inter-cooler leakage can be separated easily using two linear classifiers. This work provides a novel approach to the analysis stator current data for the diagnosis of motor drive faults

Differences in activation between spores from strains of Bacillus thuringiensis subsp. israelensis with and without the toxin-encoding plasmid pBtoxis are demonstrated. Following alkaline activation, the strain bearing pBtoxis shows a significantly greater germination rate. Expression of just three genes constituting a previously identified, putative ger operon from this plasmid is sufficient to produce the same phenotype and characterizes this operon as a genetic determinant of alkaline activation.

Adaptive control systems have been studied for many years. There are many types of adaptive control algorithms, one of which is the reference model technique. In this paper, the work has been devoted for the use of model reference adaptive control system (MRAC). The MRAC algorithm with parameters adaptation was developed and applied for control of the DC motor drive. The algorithm is based on the gradient technique with parameter adaptation. The controller can significantly improve system behavior and force the system to follow the reference model and minimize the error between the model and plant output.

In this paper a data compression technique using double transforms is proposed. The compression ability of any transform or a combination of transforms is evaluated by the error in the reconstructed data and/or its fast implementation. This investigation concerns the reduction in the computational requirements for data compression without increasing, significantly, the error in reconstruction. The double transform approach is based on the transformation of input data using WHT, rejecting some of the spectral components, converting the spectrum from WHT domain into DCT domain, and then inverse transform using DCT. In the experimental part of this paper, several contours extracted from 2D images, using the FCCE method for contour extraction, ware used. It is shown that the proposed technique reduces the number of multiplication operations, comparing with DCT. In addition, the compression process does not require any multiplications at the transmitting end, thus can be used for real time compression applications.

Experiments were performed to investigate the diffusion ignition process that occurs when hot inert gas (Argon or Nitrogen) is injected into the stoichiometric propane-oxygen mixture at the test section. Detonation wave initiated by spark plug in the driver section in stoichiometric acetylene-oxygen mixture at P = 0.5 bar and room temperature, propagates as incident shock wave in the driven section through inert gas after bursting the diaphragm separating the sections. At the end of driver section the inert gas is heated behind the reflected shock wave and then injected into the test section with the stoichiometric propane-oxygen mixture through the hole of 8 or 11.2 mm in diameter. The results of experiments indicate that ignition occurs when the static enthalpy of injected mass of inert gas exceeds some critical value. The induction time and the adiabatic temperature after reaction of mixed inert gas and Propane-oxygen mixture were determined with the use of CHEMKIN II software [1] for different values of mixing volume ratio.

A definition of thermophysiological parameters of the Specific Anthropomorphic Mannequin (SAM) CAD model material is proposed in this paper to calculate the temperaturerise in the head of cellular handset users. The SAM materials have the electrical and thermal parameters based on the averaged properties of a heterogeneous High-Resolution European Female Head (HR-EFH) with twenty five different tissues. The specific absorption rate (SAR) and the temperature-rise in the SAM because of the exposure to radiation of different handset models, i.e., candy-bar with external antenna and candy-bar with internal antenna, are calculated in the GSM900 and GSM1800 using a FDTD-based platform. The computations were also carried out applying HR-EFH for comparison.

A thorough investigation into the effect of the hand-hold position on the electromagnetic (EM) wave interaction of a clamshell-type cellular handset and a human is presented in this paper. A FDTD-based platform, SEMCAD-X, is used to achieve the simulations, where two semi-realistic handset models of different external-antenna attachment positions (left and rightside) are designed with the most parts configuration and operating at different GSM-frequency standards (GSM-900, GSM-1800/DCS, and UMTS/IMT-2000). Moreover, homogeneous and heterogeneous CAD models are used to simulate the user’s head, whereas, a homogeneous model with three different tissues is designed to simulate the user’s hand-hold. The antenna performance, as well as, the specific absorption rate (SAR) in tissues are both examined for different (42) possible cases, where several antenna/hand positions are considered in simulation.