International Journal of Research and Reviews in Applied Sciences. Volume 8, Issue 2(August 2011)

	International Journal of Research and Reviews in Applied Sciences ISSN: 2076-734X, EISSN: 2076-7366 Volume 8, Issue 2 (August, 2011) To read and print the PDF files of the Journal Archive you will need to have Acrobat Reader If you have any technical or content problems contact : publisher@arpapress.com
1.	ROBUST EXPONENTIAL ATTRACTORS FOR MEMORY RELAXATION OF PATTERN FORMATION EQUATIONS
1.	by WANG Yuwei, LIU Yongfeng & MA Qiaozhen
Abstract	In this paper, we prove the existence of the robust exponential attractors for memory relaxation of pattern formation equations in the phase-space H and we improve results in [3].

2.	AN ENHANCED GAGS BASED MTSVSL LEARNING TECHNIQUE FOR CANCER MOLECULAR PATTERN PREDICTION OF CANCER CLASSIFICATION
2.	by I. Julie & E. Kirubakaran
Abstract	Cancer Classification is becoming the critical basis in patient therapy. Researchers are made continuously in developing and applying the most accurate classification algorithms based on the gene expression profiles of patients. Microarray technologies have made an enormous encroachment on cancer genome research. To predict the Cancer Classification, there are two methods namely Signal-to-Noise Ratio (SNR) based Genetic Algorithm on Gene Selection (GAGS) and Multi-Task Support Vector Sample Learning Technique (MTSVSL) had proposed. The GAGS is a Filter, which is used to select target genes in the diagnosis of cancer. The MTSVSL Learning Technique is a Wrapper, which is based on Back Propagation Neural Network and Linear Support Vector Machine. This work yield good classification accuracy for Leukaemia cancer genes. From the literature survey, this research work revealed that the classification performance interms of Accuracy and Error Rate could be improved if Counter Propagation Neural Network (CPNN) is combined with MTSVSL instead of BPNN. This is called as Enhanced MTSVSL (EMTSVSL) Learning Technique. From the experimental result, it is established that this proposed Technique achieves higher classification performance interms Accuracy and Error Rate as compared with existing technique.

3.	BINARY PHASE CHANGE MATERIALS AND THEIR APPLICATIONS IN SOLAR/THERMAL ENERGY STORAGE DEVICES
3.	by Ganga Sharan
Abstract	Phase change materials, pure or mixtures, by virtue of their thermodynamic properties have been used to store solar / thermal heat energy in solar cookers, solar heaters, latent heat solar/thermal energy storage devices, and in buildings to provide human thermal comfort. Large value of latent heat, reversible nature of phase transition, high thermal conductivity, good chemical and thermal stability, and desired operating temperature range are some of the required features of most phase change materials that can be used to store solar / thermal heat energy. Binary phase change materials (BPCMs) that seem to posses these properties are studied using a theoretical model where an expression for free energy is obtained and used to calculate various thermodynamic quantities. Latent heat, specific heat and enthalpy are calculated at various mixture compositions for two representative mixtures: eutectic and solid solution types. Unlike pure phase change materials, phase transformation in BPCMs occur over a finite temperature range and it is a two-step phenomenon in eutectic binary phase change materials - a step like change and gradual melting. This property of BPCMs could make them a potential candidate to store solar / thermal heat energy in high density in devices such as solar cookers, solar heaters, buildings, latent heat thermal energy storage systems etc. Further, this nature of phase transformation in BPCMs may also be used to minimize overheating - a problem in latent heat energy storage devices operating at temperatures [6].

4.	CONTROL CHART BASED ON A MULTIPLICATIVE-BINOMIAL DISTRIBUTION
4.	by Elsayed A.E. Habib
Abstract	The classical Shewhart -chart that constructed based on the binomial distribution is inappropriate in monitoring over-dispersion and correlated binary data where it tends to overestimate or underestimate the dispersion and subsequently lead to higher or lower false alarm rate in detecting out-of-control signals. Consequently, the -chart is recommended based on a multiplicative-binomial distribution that count for dependent binary data. A test for independent among binary data is proposed based on this distribution. Moreover, it used to construct a one-sided -chart with its upper control limit and the sensitivity analysis of this chart based on average run length is presented. Applications are given that illustrates the benefits of the proposed chart.

5.	ON A COMPLEXIFIED HSU-STRUCTURE MANIFOLD
5.	by Ram Nivas & Anurag Agnihotri
Abstract	In this paper we have defined Hsu-structure on an even dimensional manifold and therefore we call it as a complexified Hsu-structure manifold. Certain results related to eigen values and eigen vectors of this structure have been obtained. Certain other concepts on such structure have also been studied.

6.	THE EFFECT OF COMMERCIAL WAX ON VISCOSITY CHARACTERISTICS OF MODIFIED ASPHALT
6.	by Arafat Suleiman Yero & Mohd Rosli Hainin
Abstract	The study was carried out to determine the effect of a commercial wax Sasobit (additive) on the bitumen viscosity. The binder consistency and hence ability to sustain and hold its fundamental cementing mechanism changes depending on its viscosity. In this study bitumen with penetration grade 60/70 was modified with a commercial wax sasobit to improve its performance. The binders mixed with various percentage of the additive 0.5%, 1%, 1.5%, 2%, 2.5% and 3% were investigated and the trend was the viscosity of the binder decreases at higher temperatures while at midrange temperatures the viscosity increases with an increase in the additive. This could be attributed to the presence of additive in the binder, which is expected to improve workability and enhance the resistance to deformation of the asphalt concrete mixture. The results from the study also indicated increase in softening point and the decrease in the binder penetration as the additive hardens the binder.

7.	ELECTRICITY PRODUCTION SYSTEM FROM SOLAR-HEATED RANKINE CYCLE: MODELING AND SIMULATION
7.	by Faouzi Nasri, Chaouki Ali & Habib Ben Bacha
Abstract	This paper present a design of an electricity production system from a mechanical power generation based on solar heated Rankine cycle operating at low temperature range, developed at the Laboratory of Electromechanical Systems of the National Engineering School of Sfax – Tunisia. The proposed system permits to produce electricity from solar thermal energy and auxiliary heater upon a demand. The dynamic modelling of heat and mass transfer behaviours of the different sections (solar collector, storage tank, evaporator etc.) are presented. The mathematical balance equations are numerically resolved using the finite volume method. The numerical simulation permit to study the behaviour of the system and it would enhance the performance of such installation.

8.	U-LEARNING SCENARIOS WITHIN CONTEXT AWARE UBIQUITOUS LEARNING ENVIRONMENTS
8.	by Monica Vladoiu
Abstract	The combination of context-aware, pervasive and ubiquitous computing provides for environments that are able to adapt to user’s identity, preferences, location, time etc. Lifelong and life-wide learning supported by these technologies are highly personalized and adaptive, supplying the user with the suitable learning content, at an appropriate place, and at the right time. In this paper we approach the problem of defining viable learning scenarios within context-aware u-learning environments, with accent on the facilities that are offered by our particular context-aware system, which is provides for sharing public interest information and knowledge that is accessible through always-on, context-aware services. The system makes possible context-aware u-learning that is supported by mobile devices, wireless communications and sensor technologies.

9.	A REVIEW ON NATURAL FIBERS
9.	by D. Chandramohan & K. Marimuthu
Abstract	Over the last thirty years composite materials, plastics and ceramics have been the dominant emerging materials. The volume and number of applications of composite materials have grown steadily, penetrating and conquering new markets relentlessly. Modern composite materials constitute a significant proportion of the engineered materials market ranging from everyday products to sophisticated niche applications. While composites have already proven their worth as weight-saving materials, the current challenge is to make them cost effective. This review paper discuss about world wide review report on natural fibers and its applications. Also, this paper concentrates on biomaterials progress in the field of orthopaedics. An effort to utilize the advantages offered by renewable resources for the development of biocomposite materials based on bio epoxy resin and natural fibers such as Agave sisalana; Musa sepientum; Hibiscus sabdariffa and its application in bone grafting substitutes.

10.	A NEW DIRECT TORQUE CONTROL FOR MINIMIZING THE TORQUE RIPPLE OF INDUCTION MOTOR
10.	by Lotfi El M’barki , Moez Ayadi & Rafik Neji
Abstract	This paper deals with an improvement based direct torque control (DTC) of an induction motor (IM) and at the same time with on flux and torque of ripples optimizations via each cycle period. The improvement method DTC (IMDTC) is employed on technique switching table, variation of the reference torque error and the judiciously selected of flux error. However of the IMDTC; has large number of selectable voltage vectors in benefit torque ripple reduction, improved quality of IM consumption and it improves the thermal model of the inverter¶.The proposed method of IMDTC realized by computer simulations.

11.	FIELD-ORIENTED CONTROL OF INDUCTION MOTOR APPLIED VIA INVERTER H BY PSPWM AND PDPWM
11.	by Lotfi El M’barki , Moez Ayadi & Rafik Neji
Abstract	About the past half century, the three phases asynchronous motor has been the motor of choice in industrial applications as power electronics, can be to control its output performance.¶ Since use¶, the DC motor was largely employed, before of easy control of torque and speed.¶¶¶ The asynchronous machine utilizes few internal parts that need maintenance or replacement.¶ The control-oriented vector of rotor flux of voltage, applied to the asynchronous machine can transform the expression of electromagnetic torque of the asynchronous machine to nearly comparable to that of DC motor. This paper presents an application of control-oriented vector of rotor flux of asynchronous machine, applied a comparison by two PWM strategies, for multilevel-cascaded inverter PSPWM and multilevel-cascaded inverter PDPWM. The simulation of the proposed controllers applied to the asynchronous machine drive is implemented in MATLAB/SIMULINK.

12.	DESIGN OF PLANAR ARRAY ANTENNA WITH CHEBYTSHEV METHOD AND GENETIC ALGORITHM
12.	by Amor Hammami, Ridha Ghayoula & Ali Gharsallah
Abstract	In this paper, a method of a Multiobjective Optimisation based on Chebytshev’s method and Genetic Algorithm for the synthesis of planar array antenna was investigated. This method for antenna pattern synthesis could suppress multiple interferences by placing nulls at the directions of the interfering sources and placing the main beam in the direction of the desired signal by controlling the phase and the amplitude. To verify the performance of the proposed method, several examples of planar array patterns with 10×10 one-half wavelength spaced isotropic elements to set the main beam in the direction of the useful signal while suppress the interfering narrow or wide band signals were performed.

13.	A BILINEAR TRANSFORMATION METHOD OF ELLIPTIC IIR LOWPASS FILTER (LPF) DESIGN
13.	by Umar Y. & Kwaha B.J.
Abstract	An Elliptic lowpass digital filter was designed using the MATLAB tool box. The programme code was based on the bilinear transformation method through computation and simulation based on the necessary equations underlying filter design. At input sampling frequency, f_s = 400Hz, peak ripple value at passband, A_pass, = 1Hz and peak ripple value at bandstop, A_stop, = 0.45H_Z, the Elliptic LPF has its lower 3dB point at 0Hz and upper 3dB point at 85Hz,giving a BW of 85Hz. It was observed that the ripples of the Elliptic LPF is independently adjustable which makes the filter maximally insensitive to component variations due to a faster transition gain between the passband and the stopband. This makes it suitable for use to process baseband signals in radio transmitting stations that employ pulse coded modulation (PCM). Its steep roll off is highly efficient in blocking off harmonic distortions arising from processing image frequency in superheterodyne systems which if neglected causes interference with other communication systems at close frequencies.

14.	ENHANCING THE SECURITY OF THE RSA CRYPTOSYSTEM
14.	by Malek Jakob Kakish
Abstract	The RSA public key and signature scheme is often used in modern communications technologies; it is one of the firstly defined public key cryptosystem that enable secure communicating over public unsecure communication channels. In praxis many protocols and security standards use the RSA, thus the security of the RSA is critical because any weaknesses in the RSA crypto system may lead the whole system to become vulnerable against attacks. This paper introduce a security enhancement on the RSA cryptosystem, it suggests the use of randomized parameters in the encryption process to make RSA many attacks described in literature, this enhancement will make the RSA semantically secure, this means that that an attacker cannot distinguish two encryptions from each other even if the attacker knows (or has chosen) the corresponding plaintexts A comparison introduced in this paper between the basic RSA and the modified RSA version shows that the enhancement can easily be implemented. This paper also briefly discuss some other attacks on the RSA and the suitable choice of RSA parameter to avoid attacks, also an important issue for the RSA implementation is how to speed up the RSA encryption and decryption process.

15.	A CLASSIFICATION MODEL FOR PREDICTING THE SUITABLE STUDY TRACK FOR SCHOOL STUDENTS
15.	by Qasem A. Al-Radaideh, Ahmad Al Ananbeh & Emad M. Al-Shawakfa
Abstract	One of the most important issues to succeed in the academic life is to assign students to the right track when they arrive to the end of the basic education stage. The main problem in the selection of an academic track in basic Jordanian schools is the lack of useful knowledge for students to support their planning. This paper utilized data mining techniques to provide a classification approach to support basic school students in selecting the suitable track. For this purpose, a decision tree classification model was developed to determine which track is suitable for each student. There are a set classification rules that were extracted from the decision tree to predict and classify the class label for each student. A confusion matrix is built to evaluate the model where the 10-fold Cross Validation method was used for accuracy estimation of the model. The overall accuracy of the model was 87.9% where 218 students were correctly classified out of the 248 students.

16.	THE IMPACT OF FOREIGN DIRECT INVESTMENT ON ECONOMIC GROWTH IN JORDAN
16.	by Basem Mohammed Louzi & Abeer Abadi
Abstract	Foreign direct investment (FDI) is assumed to be benefiting a poor country like Jordan. Jordan offers attractive investment opportunities for foreign companies and has adopted a number of policies to attract foreign direct investment into the country. This paper focuses on the FDI-led growth hypothesis in the case of Jordan. The study is based on time series data from 1990 to 2009. The econometric framework of ciontegration and error correction mechanism was used to capture two way linkages between variables interest. An econometric result shows that FDI inflows do not exert an independent influence on economic growth. And also the impact of DIN and TP on GDP growth rate is found to be positive. Based upon these results the ultimate objective of the Jordan government is to attract FDI for development an appropriate policy mix is necessary to be taken in the future.

17.	ASSESS THE DEGREE OF MASS CUSTOMIZATION STRATEGIES IMPLEMENTATION IN FOOD AND BEVERAGES, SHAREHOLDING INDUSTRIAL COMPANIES IN JORDAN
17.	by Sultan Freihat, Abdel Baset Ibrahim Hasouneh & Khaled Khalf Allafi
Abstract	The purpose of this study was to assess the degree of Mass Customization strategies implementation in food and beverages shareholding industrial companies in Jordan, and if there are differences in the degree of application among the companies studied due to the following variables: administration responsible for the strategy application in the company, the existence of organizational marketing unit in the company, the company's ownership, whether the company is exporter or not. The researcher adopted two types of data: the data gleaned from books, net, studies and previous research, while the second was a field study included: the design and distribution of a questionnaire to collect data from managers concerned about the variables of the study. Questionnaires have been distributed to 50 manager and (43) were recovered with a percentage of (86%). The questionnaire consisted of sets of questions, included: food and beverages industrial sector companies' characteristics and the degree of the company's implementation of the strategies mentioned. Reliability test was conducted (Cronbach's Alpha) to determine the reliability of the data collection tool (questionnaire). The reliability test ratio of both the independent and dependent variables were (81.41%).The population of the study were (12) food and beverages shareholding industrial companies in Jordan. The unit of analysis in this study was manager, and data were collected from: marketing managers, product design managers, directors of research and development, in each of the twelfth companies.