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Nilashi M.,University of Technology Malaysia | Bagherifard K.,Islamic Azad University at Yasuj | Ibrahim O.,University of Technology Malaysia | Janahmadi N.,Ahrar Institute of Technology and Higher Education | Ebrahimi L.,Payame Noor University
Research Journal of Applied Sciences, Engineering and Technology | Year: 2012

The growing use of Internet in Malaysia provides a developing prospect of online shopping for international students. Also, international students are an outstanding group in online shopping in Malaysia. In view of this, in order to improve increase online shopping among international students and Malaysian online shopping, a research framework was proposed and a survey of international student was done. Proposed research framework considers three key dimensions service quality, information quality and system quality for online shopping website. To gather initial data, international students of UTM were asked. Data was collected from 300 international students of UTM. Using normal TOPSIS and fuzzy-TOPSIS approaches all parameters in hierarchy were ranked. Our findings demonstrated that using fuzzy-TOPSIS method trust, response time, reliability, responsiveness, empathy, timeliness, accuracy of information, navigation and accessibility are the nine first important parameters in online website quality. © Maxwell Scientific Organization, 2012. Source


Nasiri Shafti R.,Ahrar Institute of Technology and Higher Education | Ghasemi A.,K. N. Toosi University of Technology
ICEE 2012 - 20th Iranian Conference on Electrical Engineering | Year: 2012

Resource allocation is one of the major challenges in wireless communications including cognitive radio networks. In these networks secondary users try to coexist with primary ones. We consider a data communication scenario in which utility obtained by a user measures its quality of service (QoS). This utility is quantified based on success of the user for correct transmission of information bits. To provide primary users protection, a threshold tolerable interference is determined for them. Therefore, transmit powers of secondary users should be controlled in a way that the aggregate interferences for primary users are not exceeded from the predefined extent. A utility-based joint power and admission control (U-JPAC) algorithm is presented for data networks, in order to allocate radio resources in an efficient manner to the requesting links, while the interference constraints are not violated and considering the total utility of secondary users as the objective. Simulation results show that the proposed algorithm performs efficiently in maximizing total utility of cognitive data networks considering primary users protection compared to the similar previous algorithm. However, a small outage increment is occurring. It is illustrated by simulation results that U-JPAC algorithm is efficient in both single and multiple primary user scenarios. © 2012 IEEE. Source


Behnam B.,Islamic Azad University at Tabriz | Golpour F.,Ahrar Institute of Technology and Higher Education
International Journal of Applied Linguistics and English Literature | Year: 2014

In recent years, genre studies have attracted the attention of many researchers. The aim of the present study was to observe the differences in generic structure of abstract written by English native and non-native (Iranian) students in two disciplines of mathematics and applied linguistics. To this end, twenty native English students’ abstract texts from each discipline and the same number of non-native (Iranian) ones were selected. In this study, Hyland’s (2000) five‐move model was used to identify the rhetorical structure of the four sets of texts. After analyzing each text, the main moves were extracted and the frequencies of each one were calculated and compared. The cross-disciplinary and cross‐linguistic analyses reveal that linguistics abstracts follow a conventional scheme, but mathematics abstracts in these two languages do not exhibit the usual norms in terms of moves. Besides, greater difference in move structure is seen across languages in mathematics. The findings of the study have some pedagogical implications for academic writing courses for graduate students, especially students from non-English backgrounds in order to facilitate their successful acculturation into these disciplinary communities. © Australian International Academic Centre, Australia. Source


Amirteimoori A.,Islamic Azad University at Rasht | Emrouznejad A.,Aston University | Khoshandam L.,Ahrar Institute of Technology and Higher Education
Measurement: Journal of the International Measurement Confederation | Year: 2013

Data envelopment analysis (DEA) has gained a wide range of applications in measuring comparative efficiency of decision making units (DMUs) with multiple incommensurate inputs and outputs. The standard DEA method requires that the status of all input and output variables be known exactly. However, in many real applications, the status of some measures is not clearly known as inputs or outputs. These measures are referred to as flexible measures. This paper proposes a flexible slacks-based measure (FSBM) of efficiency in which each flexible measure can play input role for some DMUs and output role for others to maximize the relative efficiency of the DMU under evaluation. Further, we will show that when an operational unit is efficient in a specific flexible measure, this measure can play both input and output roles for this unit. In this case, the optimal input/output designation for flexible measure is one that optimizes the efficiency of the artificial average unit. An application in assessing UK higher education institutions used to show the applicability of the proposed approach. © 2013 Elsevier Ltd. All rights reserved. Source


Bagherifard K.,Islamic Azad University at Yasuj | Nilashi M.,University of Technology Malaysia | Ibrahim O.,University of Technology Malaysia | Janahmadi N.,Ahrar Institute of Technology and Higher Education | Ebrahimi L.,Payame Noor University
Research Journal of Applied Sciences, Engineering and Technology | Year: 2012

Capital market as an organized market has an effective role in mobilizing financial resources due to have growth and economic development of countries and many countries now in the finance firms is responsible for the required credits. In the stock market, shareholders are always seeking the highest efficiency, so the stock price prediction is important for them. Since the stock market is a nonlinear system under conditions of political, economic and psychological, it is difficult to predict the correct stock price. Thus, in the present study artificial intelligence and ARIMA method has been used to predict stock prices. Multilayer Perceptron neural network and radial basis functions are two methods used in this research. Evaluation methods, selection methods and exponential smoothing methods are compared to random walk. The results showed that AI-based methods used in predicting stock performance are more accurate. Between two methods used in artificial intelligence, a method based on radial basis functions is capable to estimate stock prices in the future with higher accuracy. © Maxwell Scientific Organization, 2012. Source

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