Academic Research Publishing Agency Press
International Journal of Research and Reviews in Applied Sciences
ISSN: 2076-734X, EISSN: 2076-7366

Volume 21, Issue 1(October, 2014)

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1. DETERMINING THE STAGE-DISCHARGE CURVE AND CHANGING IT INTO A REGRESSION EQUATION USING HYDRAULIC SOFTWARE
by Ebrahim Nohani & Morteza Bakhtiari
Abstract

Constant measurement of the rivers flow in normal conditions is difficult and costly and in flood risk condition it is perhaps impossible due to the measurement problems and probable risks. Therefore, in hydrometric stations through continuous reading of the scale and finding the relationship between stage-discharge, the flow rate is obtained for the times when the measurement is not done. Stage-discharge relationship is a kind of flow resistant equation which is used to determine the flow rate when the hydraulic radius or depth, channel shape, slope, bed material characteristics, and temperature are known. The present research was conducted to determine stage –discharge relationship in the Dez River at different stages. First of all, the needed data were collected including cross sections, hydrological data, hydrometric stations data, etc at the Dez River. After collecting the data, the associated hydraulic models were implemented. The models used in this research are HEC-RAS and MIKE11 software which are important software in river engineering sciences.

Source: International Journal of Research and Reviews in Applied Sciences
October 2014-- Vol. 21 Issue 1 -- 2014

2. SHOOTING METHOD IN SOLVING BOUNDARY VALUE PROBLEM

by Badradeen Adam & Mohsin H.A. Hashim

Abstract

This study is conducted to test the method of shooting on finding solution to the boundary values problems .where it is supposed that he could resolve the boundary of value for differential equation of second order, with knowing tow marginal values. Due to the importance of finding and knowledge of the initial values problems with an accurate way in physical a applications . The study has solved many physical problems for finding the boundary values problems solutions with using shooting method. As a result of what has been a pplied , the study has reached that the shooting method is the best and easiest way to resolve marginal values problems ,but there are some disadvantages when using the Newton Rapson’s method of counting initial values ,and then shooting’s boundary values method ,we find that the error is larger comparing with Ode-RK4 method for counting the initial values and then shooting boundary values.Finally the study has presented some recommendations and proposals with which can resolve the boundary values problems in very accurate way.

Source: International Journal of Research and Reviews in Applied Sciences 
October 2014-- Vol. 21 Issue 1 -- 2014

3. THE FACTORS OF TURNOVER INTENTION IN HOTEL INDUSTRY
by Huang-Wei Su
Abstract

The purpose of this study is to investigate the turnover intention of hotel employee in Taiwan. In order to identify and analyze the causes of this human resource issue, the Grey Relational Analysis (GRA) method was conducted to calculate the priorities of the explanations. According to the research results, Wage rate, Fringe benefits, Mentoring process, and Co-worker trust are the most important factors which induce turnover intention. Human resource managers can justify accordingly which turnover determinants are the prior ones should be moved out in the very short run.

Source: International Journal of Research and Reviews in Applied Sciences
October 2014-- Vol. 21 Issue 1 -- 2014

4. ON BIVARIATE EXTREME VALUE COPULAS IN ACTUARIAL SCIENCE

by Werner Hürlimann

Abstract

The dependence structure between largest claims of two different lines of insurance business is analyzed using the bivariate extreme-value copula. We use non-parametric inference of the dependence function with parametric estimation of the marginal distributions to evaluate a statistical model for the purpose of actuarial calculations. Original applications to return periods of bivariate events, to the retained risk of a bivariate portfolio and to the bivariate rate on line for excess-of-loss reinsurance layers are given. Illustration is based on bivariate losses from a reinsurance captive. The available scarce data is typical for this insurance business, which can only be analysed with limited statistical inference methodology.

Source: International Journal of Research and Reviews in Applied Sciences 
October 2014-- Vol. 21 Issue 1 -- 2014

5. A GM(1,1)–MARKOV CHAIN COMBINED MODEL WITH AN APPLICATION TO PREDICT THE ENERGY CONSUMPTION PER UNIT OF GDP IN CHINA
by Huidian Long & Guangle Yan
Abstract

In this paper, by further using the idea of equal dimension and new informationwe propose a new dynamic analysis model which combines the unbiased first-order one-variable grey differential equation model (abbreviated as UGM(1,1) model) from grey system theory and Markov chain model from stochastic process theory. We abbreviate the new combined GM(1,1)–Markov chain (MC) model as ED&NI-MCUGM(1,1) model. This combined model takes advantage of the high predictable power of GM(1,1) model and at the same time takes advantage of the prediction power of Markov chain modelling on the discretized states. As an example, we use the statistical data of the energy consumption per unit of GDP in China from 1991 to 2011 for a validation of the effectiveness of the ED&NI-MCUGM(1,1) model.

Source: International Journal of Research and Reviews in Applied Sciences
October 2014-- Vol. 21 Issue 1 -- 2014













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