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

Volume 38 (January-March 2019)

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1. EFFECT OF SUBSTRATE DOPING CONCENTRATION ON ELECTRICAL CHARACTERISTICS OF LDD MOSFET DEVICES
by Roberto Marani & Anna Gina Perri
Abstract

In this paper we present the effect of variation of substrate doping concentrations on I-V characteristics of Lightly Doped Drain (LDD) MOSFETs through a simulation study applicable also to any submicron device. The used software is TCAD simulator, which provide general capabilities for numerical, physically-based, two-dimensional simulation of semiconductor processing. 

At last we examine a linear model, in which we propose an appropriate approximation, that allows to simulate more adequately the effects of variation of the process parameters as correction to the base model of the device.

Source: International Journal of Research and Reviews in Applied Sciences
January - March (Vol. 38, Issue 1) - 2019

2. NONPARAMETRIC ESTIMATION FOR ABSOLUTE POVERTY LINE WITH APPLICATION TO EGYPT
by Nagwa Mohammed Albehery, Hend Abd-Elgaffar Auda & Esraa Abdo Hassan
Abstract

The absolute poverty line is the income or the expenditure necessary to meet basic human needs (food, clothing, housing) Ravallion [27]. Two approaches have been used to estimate the absolute poverty line; the cost of basic needs and the food energy intake. According to the cost of basic needs approach; the absolute poverty line is estimated using a multiple linear regression model. The Traditional Least Square method (parametric technique) is often used to estimate the absolute poverty line. In this paper we will suggest the rank-based estimation as a robust nonparametric technique to estimate the absolute poverty line. The parametric and robust nonparametric techniques will be used to estimate the absolute poverty line for Egypt using the Egypt Household income, spending and consumption survey (HIECS). The real data set has been collected by CAPMAS from 2010/2011 to 2014/2015. This data will be used to comparing the different techniques that are used to estimate the absolute poverty line.

Source: International Journal of Research and Reviews in Applied Sciences
January - March (Vol. 38, Issue 1) - 2019

3. CNTFET-BASED DESIGN OF DIGITAL CIRCUITS
by Roberto Marani & Anna Gina Perri
Abstract

In this paper we implement a semi-empirical compact model for CNTFETs, already proposed by us, considering both the quantum capacitance effects and the sub-threshold currents in order to carry out static and dynamic analysis of basic digital circuits. To verify the validity of the obtained results, they are compared with those of Wong model, obtaining results in good agreement, but with a lighter ensuring compile and a shorter execution time.  

Source: International Journal of Research and Reviews in Applied Sciences
January - March (Vol. 38, Issue 1) - 2019

4. FREIGHT TRAIN SCHEDULING ON A SINGLE LINE CORRIDOR
by Aliasghar Goharpour & Majid Zemorshedi
Abstract

In many countries, rail network consists of single lines with sidings where interactions between trains occur (meet, pass). In this paper, we study two problems: First, scheduling freight trains in a single line corridor while ensuring that the interactions happen safely. Second, allocation of freights to the scheduled freight trains with respect to due and release date of freights, weight of freights and finally, weight capacity of trains. The objective is to minimize the train’s travel time, allocating more freights to trains and minimizing the tardiness of freights in their final estination. For this timetabling and allocation problem, we present an integer linear programming formulation. Computational results confirm the validation of our model for freight trains scheduling and allocation of freights to the scheduled freight train.

Source: International Journal of Research and Reviews in Applied Sciences
January - March (Vol. 38, Issue 1) - 2019

5. EFFECT OF SEAWEED EXTRACT OF CODIUM FRAGILE ON GERMINATION BEHAVIORS OF SOYBEAN (Glycine max (L.) Merr.) UNDER SALT STRESS
by E.A.H. Alwaleed
Abstract

Abiotic stresses are major constraints on worldwide crop production, and salinity is one in all the most important issues touching regarding simple fraction of the irrigated land on earth. Soybean (Glycine max (L.) Merr) is avital crop occupying an oversized spacewherever salt stress is affecting almost every aspect of the physiology and biochemistry of plants and considerably reduces yield and limit agricultural production worldwide. In the present investigation, a trial has been made to study the effect of seaweed liquid extract (SWE) from Codium fragile at completely different concentrations on seed germination and seedling growth of Soybean (Glycine max (L.) Merr) under salt stress.

Source: International Journal of Research and Reviews in Applied Sciences
January - March (Vol. 38, Issue 1) - 2019

6. GENERALIZED LIU-TYPE ESTIMATOR FOR LINEAR REGRESSION
by Rasha A. Farghali
Abstract

Multicollinearity in linear regression affects negatively on the variance of the ordinary least squares estimators.          That leads to inflated confidence intervals and theoretically important variables become insignificant in testing hypotheses. In this article, the generalized Liu-type estimator is proposed, that has smaller mean squared error than the ordinary least squares estimators. The proposed estimator is a general biased estimator which includes other generalized biased estimators such as generalized Liu estimators and generalized ridge regression estimators as special cases of the proposed estimator. A Monte Carlo Simulation study is given to evaluate the performance of this estimator. Portland cement data is used to illustrate the results. Simulation results showed that generalized Liu-type estimators with different shrinkage parameters are robust to correlation between the independent variables. Therefore, the OLS should not be used in the presence of severe multicollinearity. Also, application results showed that the suggested estimator outperforms OLS estimates in terms of smaller mean squared errors.

Source: International Journal of Research and Reviews in Applied Sciences
January - March (Vol. 38, Issue 1) - 2019