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International Journal of Research and Reviews in Applied Sciences
ISSN: 2076-734X, EISSN: 2076-7366
Volume 14, Issue 2 (February, 2013)
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1. |
POINCARÉ-TYPE INEQUALITY FOR VARIABLE EXPONENT SPACES OF DIFFERENTIAL FORMS |
by Lifeng Guo
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Abstract |
We prove both local
and global Poincaré inequalities with the variable exponent for differential forms
in the John domains and
Ls-averaging domains, which
can be considered as generalizations of the existing versions of Poincaré inequalities.
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2. |
GLUCURONIC ACID FROM FERMENTED BEVERAGES: BIOCHEMICAL FUNCTIONS IN HUMANS AND ITS ROLE IN HEALTH PROTECTION |
by Ilmara Vina, Raimonds Linde, Arturs Patetko & Pavels Semjonovs
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Abstract |
An increasing rate of morbidity in the world is due to widespread chronic degenerative ailments such as cancer, cardiovascular and neurodegenerative diseases. One of the causes of that is toxification of human organism by xenobiotics and insufficient activity of fat-soluble endobiotics. The present article discusses important theoretical aspects of glucuronidation - the general concept of detoxication and the biochemical mechanism of glucuronic acid conjugation. The way of obtaining fermented beverages with a high content of glucuronic acid by applying the Kombucha symbiotic cultures originated from various parts of the world is demonstrated. The initial hypothesis on the synthesis of glucuronic acid as a characteristic property of natural associations of bacteria and yeasts has been confirmed. It can be prospective for human health protection and chronic diseases prevention. The use of glucuronic acid-containing microbially fermented products in medicine, and their beneficial biological effects on human health are overviewed. |
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3. |
A NOVEL RISK MEASURE MODEL IN UNCERTAIN THEORY |
by Jiajun Liu, Liang Lin & Chao Wang |
Abstract |
Uncertainty theory
is a new branch of axiomatic mathematics for studying the subjective uncertainty.
In uncertain theory, uncertain variable is a fundamental concept, which is used
to represent imprecise quantities (unknown constants and unsharp concepts). Entropy
of uncertain variable is an important concept in calculating uncertainty associated
with imprecise quantities. This paper introduces a novel risk measure model in uncertain
theory, and proves its
several important theorems. The novel risk measure model
reflects the risks originate from the state uncertainty. At the same time, it not
only reflects the decision-makers subjective attitude to risk, but also can better
measure the present complex financial risk.
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4. |
CHANGES IN ESSENTIAL OIL OF ORIGANUM VULGARE L. AFFECTED BY DIFFERENT EXTRACTION METHODS |
by Kátia Yuri Fausta Kawase, Cheila Gonçalves Mothé, Filipe Arantes Furtado & Gerson Luiz Vieira Coelho |
Abstract |
Phytochemicals from oregano essential oil (Origanum vulgare L.) obtained
from supercritical fluid extraction (SFE), hydrodistillation, Soxhlet (ethanol and
hexane) were determined by GC-MS. Antioxidant activity and thermal analysis were
the methods used
to evaluate the extracts obtained. Synthetic antioxidant ascorbic
acid and butyl hydroxyl toluene (BHT) were used as the standard phenol. Higher concentration
of carvacrol and thymol was observed in the oil obtained by hydrodistillation, on
the other hand, the better result in antioxidant activity was observed in Soxhlet
with ethanol for 6 h (IC50 = 130.69 ± 1.21 µg/ml), this results indicates
that the antioxidant effectiveness of the oregano essential oil was not related
to a higher concentration of these phenolic compounds. Finally, this study compares
the thermal analysis of oregano essential oil with BHT and ascorbic acid. The results
indicate that oregano essential oil (oil resin) obtained by Soxhlet could be used
to substitute synthetic antioxidants in foods products, therefore other compounds that are extracted together should be studied to clarify the higher antioxidant
activity of this extract.
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5. |
CONTROL CHARTS FOR IMPROVING THE PROCESS PERFORMANCE OF SOFTWARE DEVELOPMENT LIFE CYCLE |
by S. Selva Arul Pandian & P. Puthiyanayagam |
Abstract |
In this paper the new ways discussed to cut costs for
delivering high-quality product in the today’s global economy. Control charts technique
is used to study the process stability and reduce the number of defects in the software
product. The Process Performance Model (PPM) is also discussed for the project
performance over time among various factors and to predict the range of variation of the outcome
that is processes. This work is limited to the software development cycle which
follows the Waterfall Model or the Classical life cycle model.
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6. |
ON THE USE OF MESHLESS METHOD FOR FREE VIBRATION ANALYSIS OF CIRCULAR FGM PLATE HAVING VARIABLE THICKNESS UNDER AXISYMMETRIC CONDITION |
by Abazar Shamekhi |
Abstract |
In this work the free vibration analysis of circular plate
having variable thickness made of functionally-graded material is studied. Numerical
analysis has been done for either simply supported or clamped circular FGM plates.
Dynamic equations have been obtained using energy method based on Love-Kichhoff
hypothesis and Sander's non-linear strain-displacement relation for thin plates.
Mesh free method is used to determine the natural frequencies. The results obtained
show good agreement with known analytical data. The effects of thickness variation
and Poisson's ratio are studied by calculating the natural frequencies. These effects
are found to be different for simply supported and clamped plates.
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7. |
INFLUENCE OF AGITATION, pH AND TEMPERATURE ON GROWTH AND DECOLORIZATION OF BATIK WASTEWATER BY BACTERIA LACTOBACILLUS DELBRUCKII |
by Siti Zuraida M., Nurhaslina C.R. & Ku Halim K.H. |
Abstract |
Batik industries which are the Malaysian
cottage textile industry are among the rapidly growing textiles industries in Malaysia
and most of these industries can be found in East Coast states such as Kelantan
and Terengganu. Batik industries engender a huge contribution to Malaysia’s economy
development due to high demands from local and abroad. However, wastewater from
these industries causes a vast pollution to the environment due to the dye content
because the manufacturer commonly discharge their effluents into environment without appropriate treatment. Therefore, treatments on batik effluent pollution to the
environment are very crucial and get an enormous attention from the researchers.
This study investigates the effect of agitation, pH and temperature on the microbial
(Lactobacillus Delbruckii) growth and
decolorization efficiency of Batik wastewater. The bacteria were incubated under
aerobic conditions in the presence of 30 % (vol. /vol.) Batik wastewater in MRS
broth in different temperature (25, 30, 37, and 42 °C) and pH (4, 5, 6, 7 and 8)
for 84 hours, and growth of microbial and decolorization of batik wastewater were
monitored. A microbial showed good growth in agitation culture but the color removal
was best in static culture with 45 – 60 % color removed in less than 72 hours. Temperature
and pH had a significant effect on the growth of microbial and also decolorization
of the Batik wastewater. However, the optimum decolorization of Batik wastewater
did not coincide with the growth of bacteria. The optimum pH and temperature value
for growth of microbial were 7.0 and 37 °C and for decolorization of batik wastewater
were 6.0 and 37 °C.
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8. |
GLOBAL REGULAR SOLUTIONS TO THE MAXWELL-BOLTZMANNEULER SYSTEM IN A BIANCHI TYPE-I SPACE TIME IN PRESENCE OF A MASSIVE SCALAR FIELD |
by Raoul Domingo AYISSI & Norbert NOUTCHEGUEME |
Abstract |
We prove an existence and uniqueness of regular solution to the Maxwell-Boltzmann-Euler
system globally in time. We clarify the choice of the function spaces and we establish
step by step all the essential energy estimations leading to the global existence
theorem.
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9. |
ON THE GROWTH OF SOLUTIONS OF SECOND ORDER DIFFERENTIAL EQUATIONS WITH MEROMORPHIC COEFFICIENTS |
by Jianren Long, Pengcheng Wu & Jun Zhu |
Abstract |
Please read
full text of paper.
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10. |
WIND FARM POWER FORECAST IN MID-EASTERN COASTLINE OF CHINA |
by Zhengquan Li, Zhongen Yang, Yiping Yao, Shengjun Chen, Xiaowei Zhang & Tao Feng |
Abstract |
Applying 4-levels
grid nested WRF (Weather Research and Forecasting) model to predict meteorological
elements of wind farm field, and employing WRF model outputs and SCADA data of wind
turbines to construct wind power forecast models by using the APLSR (Adapting Partial
Least Square Regression) method, this paper has conducted wind power forecast in
24 hours ahead, at Wenling wind farm which located in mid-eastern coastline of China,
where is subject
to
frequent typhoons. The results show that the WRF
model has a good capability to predict wind speed variation at 1km resolution, and
wind power forecasted by the constructed models agrees well with recorded data of
wind farm. The MAE (Mean Absolute Error) of wind power forecast is 8.2 % over 24
hours forecast horizon.
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11. |
HYBRID SYSTEM OF LEARNING VECTOR QUANTIZATION AND ENHANCED RESILIENT BACKPROPAGATION ARTIFICIAL NEURAL NETWORK FOR INTRUSION CLASSIFICATION
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by Reyadh Shaker Naoum & Zainab Namh Al-Sultani |
Abstract |
Network-based computer systems play increasingly
vital roles in modern society;
they have become the target of intrusions by our
enemies and criminals. Intrusion detection system attempts
to detect computer attacks by examining various data records observed in processes
on the network. This paper presents a hybrid intrusion detection system
models, using Learning Vector Quantization and an enhanced resilient backpropagation
artificial neural network. The proposed system is divided into five phases: environment
phase, dataset features and pre-processing phase, Learning Vector Quantization phase,
enhanced resilient backpropagation neural network phase and testing the hybrid system
phase. A Supervised Learning Vector Quantization (LVQ) as the first stage of classification
was trained to detect intrusions; it consists of two layers with two different transfer
functions, competitive and linear. A multilayer perceptron as the second stage of
classification was trained using an enhanced resilient backpropagation training
algorithm. Best number of hidden layers and hidden neurons were calculated to train
the enhanced resilient backpropagation neural network. One hidden layer with 32
hidden neurons was used in resilient backpropagation artificial neural network training
process. An optimal learning factor was derived to speed up the convergence of the
resilient backpropagation neural network performance. The evaluations were performed
using the NSL-KDD99 network anomaly intrusion detection dataset. The experiments
results demonstrate that the proposed system (LVQ_ERBP) has a detection rate about 97.06% with a false negative rate of 2%.
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12. |
RECURSIVE ALGORITHMS FOR REALIZATION OF ONE-DIMENSIONAL DISCRETE SINE TRANSFORM AND INVERSE DISCRETE SINE TRANSFORM |
by M.N. Murty |
Abstract |
In this paper, novel recursive algorithms for realization of one-dimensional discrete
sine transform (DST) and inverse discrete sine transform (IDST) of any length are
proposed. By using some mathematical
techniques, recursive expressions for DST and IDST have been developed.
Then, the DST and IDST are implemented by recursive filter structures. A linear systolic architecture for realization
of DST is also presented in this paper.
Compared with some other algorithms, the proposed algorithm for DST achieves savings
on the number of multiplications and additions.
The recursive algorithms have been found very effective for realization using
software and VLSI techniques.
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13. |
LOCAL FIELD WITHIN A NON LINEAR THIN FILM ILLUMINATED BY A GAUSSIAN LASER BEAM |
by R. Chifahi & R. Mountasser |
Abstract |
In this communication,
we present a numerical study of the nonlinear local electrical field within a nonlinear
Kerr material thin film. The thin film is illuminated in oblique incidence by a
strong gaussian laser beam.
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14. |
BIOLOGICAL ACTIVITY OF FEIGRISOLIDES A, B AND C FROM A MARINE ISOLATE OF THE ACTINOBACTERIUM Streptomyces sp. 6167. |
by Maria P. Sobolevskaya, Mihael I. Kusaikin, Evgeny A. Pislyagin, Ludmila C. Busoleva, Natalia I. Mensorova, Yurii T. Sibirtsev & Shamil Sh. Afiyatullov |
Abstract |
It was shown,
that the macrolide metabolites from the marine derived actinobacterium
Streptomyces sp. 6167, feigrisolides
A, B and C are effectors of the 1®3-b-D-glucanase from
Spisula sacchalinensis crystalline style. It was found that feigrisolide
B induces apoptotic process in the Ehrlich carcinoma cells (IC50 =17.4
µg/ml), possess cytotoxic
activity against the developing eggs of the sea urchin Strongylocentrotus intermedius and immobilizes
sperm of the urchin in dose less than 1 µg/ml.
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15. |
AN EXPLORATORY FACTORIAL ANALYSIS TO MEASURE ATTITUDE TOWARD STATISTIC(EMPIRICAL STUDY IN UNDERGRADUATE STUDENTS) |
by Arturo García-Santillán, Francisco Venegas-Martinez & Milka Elena Escalera-Chávez |
Abstract |
This
study aims to measure student’s attitude towards statistics through a model that
considers the variables proposed by Auzmendi (1992). Was examined whether the constructs:
usefulness, motivation, liking, confidence and anxiety have influence in the student's
attitude towards statistics. Were surveyed 298 students at the Cristóbal Colón University
using the questionnaire proposed by Auzmendi. Data analysis was performed by factorial
analysis with an extracted principal component. The results obtained from the Bartlett
test of Sphericity KMO (.648), Chi square X2
379.674 df 10, Sig. 0.00 < p 0.01, the value of each variable MSA (LIK .628;
ANX .602; CNF .731; MTV .610 and USF .649 are within the acceptable value >0.50)
All this provide evidence to reject Ho. Finally we obtained two factors: first one
composed of three elements: usefulness, confidence, liking and other incorporates
two elements: anxiety and motivation. The values of this last factor indicate if
the student anxiety increased, decreased motivation and their explanatory power
for each factor are expressed by their Eigenvalue 2.351 and 1.198 (with % variance
47.016 and 23.964 respectively, Total variance 71.08%)
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16. |
COMPARISON BEETWEN LEAD (PB) AND ZINC (ZN) CONTENT ON MILKFISH (Chanos chanos, Forsk) MUSCLE AND GILL AT AQUACULTURE PONDS OF MARUNDA, NORTH JAKARTA AND BLANAKAN, WEST JAVA, INDONESIA |
by Noverita Dian Takarina, Sunardi & Naufal Sanca Lovandhika |
Abstract |
Aquaculture ponds in North coast of
Jakarta at Marunda (Jakarta
province) are located close
to industries and housings, in contrast, ponds at Blanakan at
Subang Regency (West Java province), are surrounded by agriculture areas
and mangrove forest. Lead (Pb) has been recognized as hazardous metal because it
can cause health problem, while Zinc (Zn) is an essential elements and needed by
fish as enzymatic
activator. The objective of
this
research was to measure the
Pband Zn
content in the sediment and
Chanos chanos at aquaculture
ponds of Marunda and Blanakan.
Samples of sediments and C. chanos were collected from four (M1-M4) aquaculture
ponds located at Marunda, North
Jakarta and four (B1-B4) aquaculture ponds located at Blanakan, Subang Regency.
Pb
and Zn content in sediments, muscles
and gills of C. chanos were analysed
using Atomic Absorption Spectrometry
(AAS) Shimadzu 6300. The results revealed
that the ranges of metals content
in sediments at Marunda ponds were 8.93 – 13.59 μg/g for Pb and 49.24 – 112.09 μg/g
for Zn, while in sediments at Blanakan ponds were 10.20 – 11.8 μg/g for Pb and 44.52
– 112.09 μg/g for Zn. In addition, the ranges of Pb content in muscles and gills
of C. chanos at Marunda and ponds were 1.45 – 4.98 μg/g and 3.35 – 5.68 μg/g,
respectively, while at Blanakan ponds were 0.82 – 1.45 μg/g and 1.21 – 3.45 μg/g,
respectively. Moreover, Zn content in muscles and gills
at Marunda ponds were 23.30 – 41.89
μg/g and 86.89– 134.14 μg/g, while at Blanakan
ponds were 31.57 – 49.10 μg/g and 67.98 – 132.86
μg/g, respectively. The results of analysis
showed
that there
was significance difference of concentrations of
Pb between Blanakan and Marunda (p < 0.01) and between
muscle
and gills
(p < 0.05). Meanwhile for Zn concentrations there
was
no significance difference between Marunda and Blanakan, but there
was
significane difference between muscle and gill (p < 0.05).
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17. |
STUDY OF CLAY’S MINERALOGY EFFECT ON RHEOLOGICAL BEHAVIOR OF CERAMIC SUSPENSIONS USING AN EXPERIMENTAL DESIGN |
by Afef Jmal Ayadi, Julien Soro, Amel Kamoun & Samir Baklouti |
Abstract |
Three clays namely
Illite (I), Montmorillonite (M) and Kaolin (K) were chosen as references to study
the effect of clay composition on the rheological behavior of the ceramic suspensions.
A mixture design was applied to study the evolution of the viscosity of the clayey
suspensions according to the proportions of the clay references in the mixture.
The statistical study shows that the fitted model was adequate to describe the rheological
behavior of clay suspensions. It was concluded that the rheological
properties of the ceramic suspensions
were mainly governed by the percentage of Montmorillonite. It was also demonstrated that
to obtain low viscosities (0.20-0.40
Pa.s), as required by the ceramic
industry, the clay mixture should not contain more than 16 % of Montmorillonite.
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18. |
NUMERICAL COMPARISON OF PRICING OF EUROPEAN CALL OPTIONS FOR MEAN REVERTING PROCESSES |
by Freddy H. Marín Sánchez, Yimer Camilo Vargas & Margarita Pinzón Cardozo |
Abstract |
We propose a change
of probability measure that allows to find a partial differential equation for valuing
European call options on processes mean reversion, whose solution is approximated
numerically by Adomian decomposition method. To test the convergence of the method
is presented an analytic function that is convergent with the terminal condition
of the differential equation and consistent with payy-off of a European call option.
We compare the numerical results obtained with alternative methods to value options.
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19. |
U-TURN CHANNEL PRESSURE LOSS MINIMIZATION USING MESHLESS METHOD AND ADAPTIVE DIFFERENTIAL EVOLUTION ALGORITHM |
by Abazar Shamekhi |
Abstract |
In this work,
a meshless method together with a differential evolution algorithm has been used
for the numerical simulation and optimization of the flow inside a U-turn passage.
Meshless characteristic based split (CBS) algorithm has been used for this purpose.
Employing C++ language, a new computational code has been implemented. Using differential
evolution algorithm together with a meshless computational simulation code, U-turn
shape has been modified iteratively. The results show that the pressure loss of
the U-turn passage of the optimal design has been decreased significantly compared
with the initial shape of the channel.
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20. |
TAXONOMY FOR 3D CONTENT-BASED OBJECT RETRIEVAL METHODS |
by Hanan ElNaghy, Safwat Hamad & M. Essam Khalifa |
Abstract |
The use of three-dimensional (3D) image and model databases throughout
the Internet is growing both in number and size. The emergence of 3D media is also
directly related to the emergence of the 3D acquisition technologies. Indeed, recent
advances in 3D scanner acquisition and 3D graphics rendering technologies boost
the creation of 3D model archives for several application domains. Therefore, the
development of efficient search mechanisms is required for the effective retrieval
of 3D objects from large repositories. Over the last years, a large number of competing
techniques have been developed for the purpose of content-based retrieval of 3D
objects and consequently, more research is required to be conducted on surveying
and comparing such proposed techniques. In this paper, we provide a comprehensive
survey on the recent methods for content-based 3D object retrieval guided by a proposed
taxonomy based on different shape descriptors. Finally, a performance comparison
is carried out among selected methods based on qualitative measures.
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21. |
NONLINEAR SEPARATION FOR CONSTRAINED MULTIOBJECTIVE OPTIMIZATION PROBLEMS AND APPLICATIONS TO PENALTY FUNCTIONS |
by K. Guo & S.Q. Feng |
Abstract |
In this paper, we prove a nonlinear separation associated with a constrained multiobjective
optimization problem in the image space, as well as the equivalence between the
existence of nonlinear separation function and a saddle point condition for a generalized
Lagrangian function associated with the given problem. As applications, we obtain
some equivalent conditions on exact penalty methods for the given problem.
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22. |
FIRE LOAD IN STUDENTS' DORMITORY BUILDINGS |
by Wei Gao, Jinhua Sun, Ying Zhang & Jianzhong Rong |
Abstract |
This paper presents
the results of a survey conducted in China to characterize fire loads in students'
dormitory buildings. The influence of room type, students’ grade and the contribution
of different types of combustibles are discussed in detail. The fire load densities
of all the surveyed buildings show a normal distribution with the mean value of
537.3MJ/m2, the maximum value of 812MJ/m2, the minimum value
of 234MJ/m2, and the standard deviation of 140. Based on the survey results,
the fire dynamical theory and the characteristics of building fire, the evaluation
methods of the fire duration time and the collapse probability caused by fire are
also developed in this paper.
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23. |
TACTILE INPUT FEATURES OF HARDWARE: COGNITIVE PROCESSING IN RELATION TO DIGITAL DEVICE |
by Genevieve Marie Johnson |
Abstract |
Three
relatively distinct types of devices have characterized the digital revolution;
1) the personal computer of the 1990s, 2) the mobile phone in the first decade of
the new millennium and, most recently, 3) the tablet computer. Socio-cognitive theorists
maintain that use of tools and technologies over time, changes the nature of human
mental processes. For example, computer technology affords increased opportunities
for cognitive stimulation (e.g., played games and reading) which, with prolonged
use and in a general sense, improves human intellectual capabilities. While personal
computers, mobile phones and tablet computers differ in terms of screen size and
portably, touchscreen input may be particularly relevant to cognition. This paper
reviews recent research which establishes that use of personal computers and mobile
phones is associated with improved human cognition. Since tablet computers have
penetrated popular culture in less than two years, their effect on cognitive processing
remains largely speculative. To some extent, research findings on the cognitive
impact of personal computers and mobile phones might reasonably be generalized to
tablet computers, particularly the suggestion that technology increases cognitive
stimulation which, over time, improves human cognitive processes. However, increased
tactile connection with digital devices, as is the case with touchscreen technology,
might reasonably be assumed to increase the impact of tools on human cognition.
The use of hands and fingers is critically related to human brain functioning and
evolution.
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24. |
EVALUATION OF ENVIRONMENTAL NOISE POLLUTION IN ABUJA, THE CAPITAL CITY OF NIGERIA |
by Ochuko Anomohanran |
Abstract |
Abuja
the capital city of Nigeria has experienced rapid development and high influx of
people with the implication of increased generation of noise. Hence the need to
evaluate the noise pollution level of the city. Measurement of equivalent noise
level was carried out in 35 locations around the city using a CR811C integrated
sound level meter. Result showed that the day time mean equivalent noise level of
the city ranged from 73.2 dBA to 83.6 dBA. Result also showed that the night time
mean equivalent noise level of the city is of good quality as it ranged from 44
dBA to 56.8 dBA. The night time therefore serves as a recovery time for those who
are exposed to high noise value during the day. Result further showed that the Central
Business District of Abuja has the highest day-night noise value of 82 dBA while
the lowest day-night noise level was obtained from Asokoro district with a value
of 71 dBA. The average day-night noise level of the City was obtained as 76.4 dBA.
It is recommended that those whose daily activities confine them to areas with unhealthy
noise level should make sure they have at least 10 hours of recovery time in areas
where the sound level is less than 65 dBA. The government is called upon to improve
the traffic situation in the city so as to prevent traffic built up in areas with
high noise values.
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25. |
A MODEL REFERENCE-BASED FUZZY ADAPTIVE PI CONTROLLER FOR NON-LINEAR LEVEL PROCESS SYSTEM |
by A. Ganesh Ram & S. Abraham Lincoln |
Abstract |
This paper proposes
a model reference tracking based fuzzy adaptive PI (MRFAPI) controller for non-linear
process plant. The second order reference model is proposed for the system. The
conical-tank level process system is used as a process plant. The proposed MRFAPI
controller is combined with fuzzy logic and conventional variable PI controllers.
The on-line estimation of the controller parameters is based on the error between
reference model and time-varying parameter of the process plant. The model of the
process plant is formulated based on the real laboratory-scale system and the control
of the process plant is alone using MATLAB simulink. The controller can produce
the appropriate control signals to control the plant in presence of plant nonlinearity,
disturbance and measurement noise.
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