
ISSN:
19980140
Year 2007
All papers of the journal were peer reviewed by two
independent reviewers. Acceptance was granted when both
reviewers' recommendations were positive.
Main
Page
Paper
Title, Authors, Abstract (Issue 1, Volume 1, 2007) 
Pages 
Analysis of Dynamic
Characteristics of a MinimalTime Circuit
Optimization Process
A. M. Zemliak
Abstract: The
design process for analog network design is
formulated as a dynamic controllable system. A
special control vector is defined to redistribute
the compute expensive between a network analysis and
a parametric optimization. This redistribution
permits the minimization of a computer time. The
problem of the minimaltime network design can be
formulated in this case as a classical problem of
the optimal control for some functional
minimization. This approach generalizes the design
problem and generates an infinite number of the
different design strategies inside the same
optimization procedure. By this methodology the aim
of the system design process with minimal computer
time is presented as a transition process of a
dynamic system that has the minimal transition time.
The conception of the Lyapunov function of dynamic
controllable system is used to analyze the principal
characteristics of the design process. The different
forms of the Lyapunov function were proposed to
analyze the behavior of a design process. The
special function that is a combination of the
Lyapunov function and its time derivative was
proposed to compare the different design strategies
and to predict the strategy with the minimal
computer design time.

110 
Limit Temperatures, Spinodal
Decomposition and Isospin in Heavy Ion Collisions
Armando Barranon, Jorge Alberto Lopez Gallardo
Abstract: Spinodal decomposition signatures
have been used to obtain limit temperatures for
several Heavy Ion collisions. Meanwhile isospin
changes, these transient temperatures remain
approximately constant with a fluctuation of about 1
MeV and in the range of 10MeV. Also, a primitive
breakup with equal sized fragments of a privileged
fragment size equal to 6 and an excitation of
4.75MeV were found using higher order charge
correlations. These transient temperatures are in
the range of theoretical and experimental studies
reported elsewhere and confirm the role of spinodal
decomposition in the critical behavior of nuclear
matter.

1115 
Latin language and new
educational technologies
P. Camastra, P. Fedeli, M.R. Grattagliano
Abstract: This paper presents a project on
revival of the Latin language study in Europe. The
complete methodological and didactical renewal of a
basic Course of Latin is addressed, through new
elearning technologies and methods promoted by the
Interfaculty Centre ?Rete Puglia? in the University
of Bari. The obtained results in terms of
experimentation benefits are presented.

1621 
Computationally Efficient
Analytical Crosstalk Noise Model in RC Interconnects
P.Chandrasekhar and Rameshwar Rao
Abstract: This paper presents an accurate,
fast and simple closed form solution toestimate
crosstalk noise between two adjacent wires, using RC
interconnect model in two situations: simple
resistance as driver and short channel CMOS inverter
as a driver. The salient features of our proposed
models include minimization of computational
overhead, elimination of adjustment step to predict
the peak amplitude and pulse width of the noise
waveform. Numerical calculations are compared with
SPICE simulation and other metrics by plotting the
noise voltage verses time. Based on our proposed
models, we derive analytical delay models due to RC
interconnect in each case. Finally we formulate
energy dissipation of the RC coupled interconnects
in both the cases using our proposed metrics.
Experimental results indicate that our models are
closely comparable.

2232 
A Deflected Gridbased
Algorithm for Clustering Analysis
Nancy P. Lin, ChungI Chang, NienYi Jan,
HungJen Chen, WeiHua Hao
Abstract: The gridbased clustering
algorithm, which partitions the data space into a
finite number of cells to form a grid structure and
then performs all clustering operations on this
obtained grid structure, is an efficient clustering
algorithm, but its effect is seriously influenced by
the size of the cells. To cluster efficiently and
simultaneously, to reduce the influences of the size
of the cells, a new gridbased clustering algorithm,
called DGD, is proposed in this paper. The main idea
of DGD algorithm is to deflect the original grid
structure in each dimension of the data space after
the clusters generated from this original structure
have been obtained. The deflected grid structure can
be considered a dynamic adjustment of the size of
the original cells, and thus, the clusters generated
from this deflected grid structure can be used to
revise the originally obtained clusters. The
experimental results verify that, indeed, the effect
of DGD algorithm is less influenced by the size of
the cells than other gridbased ones.

3339 
Paper
Title, Authors, Abstract (Issue 2, Volume 1, 2007) 
Pages 
About an adapted image
compression algorithm for surveillance flying
systems
Ciprian Racuciu, Nicolae Jula, FlorinMarius Pop
Abstract: Flying surveillance systems
have become a priority in every modern army. The
prove is the investments involved that are growing
every year. A special category is the small systems
known as UAV (Unmanned Air Vehicle) that embed only
the highest technology because of the dimension
limits imposed. The goal of this paper is to present
an image compression module and its algorithm based
on Discrete Cosines Transform that can be used on a
UAV for a realtime transmission of the images
captured to the ground. This paper focuses on low
complexity techniques used in image compression that
are combined to develop a full image compression
algorithm that use low resources but with high
compression ratio, flexibility for developing
further options or characteristics and a medium
quality. All the parameters can be changed for
different requirements.

4145 
Application of the Hotelling's and F statistical for the determination of defects
in the dental enamel
Cortez Jose Italo, Gonzalez Flores Marcos, Perea
Gonzalez Gloria Patricia, Vega Galina Victor Javier,
Cortez Liliana, Cortez Ernest Italovich.
Abstract: The present work presents the
experiment that was made to verify and to
corroborate the physical changes in the dental
enamel. The data were obtained in voltage terms in
four stages: without treatment, dental paste, acid
engraver and adhesive. The covariance matrices of
the samples were then compared with each other to
obtain an estimation of every pair of matrices. The
inverse estimated matrix was obtained, and finally
the Hottelling's statistical was calculated for the
multivaried case. We show that the selected
treatments have differences in their averages. This
allows us to conclude that there are physical
changes in the dental enamel.

4654 
Influence of Water Scale on
Thermal Flow Losses of Domestic Appliances
D. Dobersek, D. Goricanec
Abstract: Research results of how the
precipitated water scale on heaters of small
domestic appliances influences the consumption of
electricity are presented. It shows that the
majority of water scale samples are composed of
aragonite, calcite and dolomite and that those
components have an extraordinary low thermal
conductivity. Also, the results show that at 2 mm
thick deposit, depending on the chemical composition
of water scale, the thermal flow is reduced for 10%
to 40%; consequently, the consumption of electricity
significantly increases.

5561 
Simulation of Multiproduct
Pipelines
Drago Matko, Sa?so Bla?zi?c, and Gerhard Geiger
Abstract: The problem of modeling and
simulating pipelines that are used for transporting
different fluids is addressed in the paper. The
problem is solved by including fluid density in the
model beside pressure and velocity of the medium.
First, the system of nonlinear partial differential
equations is derived. Then, the obtained model is
linearised and transformed into the transfer
function form with three inputs and three outputs.
Admittance form of model description is presented in
the paper. Since the transfer function is
transcendent, it cannot be simulated using classical
tools. Rational transfer function approximation of
the model were used and validated on the real
industrial pipeline. It was also compared to the
model that does not take the changes in fluid
density into account. The latter model cannot cope
with batch changes whereas the proposed one can.

6269 
Comparison of regression
models based on nonparametric estimation techniques:
Prediction of GDP in Turkey
Dursun Ayd?n
Abstract: In this study, it has been discussed the
comparision of nonparametric models based on prediction
of GDP (Domestic Product) per capita prediction in
Turkey. It has been considered two alternative situations
due to seasonal effects. In the first case, it is discussed a
semiparametric model where parametric component is
dummy variable for the seasonality. Smoothing spline and
regression spline methods have been used for prediction
of the semiparametric models. In the second case, it is
considered the seasonal component to be a smooth
function of time, and therefore, the model falls within the
class of additive models. The results obtained by semiparametric
regression models are compared to those
obtained by additive nonparametric.

7075 
Semiautomatic generation of database
in finite element programs
Daniela P. Cârstea
Abstract: A preprocessor for the generation of the mesh 2D in
a CAD product based on the finite element method (FEM) is
presented. Our software product is based on the multiblock method
and is implemented in C language. A friendly interface userprogram
is included and some communication languages are available in the
communication protocol. In our software product the database
consists in a set of files (text or binary files). These files contain both
geometrical data of the elements and physical properties (field
sources, material properties, boundary conditions etc). The database
can be used by well known software products for graphics processing
and post processing stages of a finite element program.
We present some aspects of parallel implementation of the preprocessor.
In our approach a coarse mesh is generated as the starting
point of the parallel mesh generation. The domain to be meshed is
decomposed into a number of subdomains. This decomposition is
guided by physical considerations.

7680 
Intelligent processes for defect identification
Edson Pacheco Paladini
Abstract: This paper describes a knowledgebased system and
other classical artificial intelligent techniques developed to identify
imperfections or defects in industrial products. The defects we are
studying used to appear on the piece external area (like spots,
fractures, scratches, dark or white lines). The application of the
system has been developed in wall or floor tiles factories and it has
been showing itself adequate to its finality, as show its application
results. The system works, basically, with codified information from
the wall or floor tile faces. The piece of information is accessed by
special devices which pick up the image and transform it in an array
of numbers and codes. Therefore, the system behavior can be defined
by these information pieces. Initially the system detects the existence
of imperfections using a first group of computational programs; after
that, s second group of programs defines the gravity level of each
detected defect (for instance: if it implies to reject the piece). Finally,
a third group of programs (the identification system) informs to its
users what is the most probable kind of imperfection detected (defect
identification). We show here the general ideas of the identification
system and the structure and some results, what can be seen as a
useful and interesting application of knowledgebased systems to
quality control area.

8188 
Multimarket bidding strategy of power suppliers in China
Xingping Zhang, Runlian Wu, Ling Chen
Abstract: The 5 power generation groups of China have a feature of monopoly, so we apply a nonbasic auction theory to make bidding rules in order to reduce the market power of power suppliers. Using nonbasic auction theory, order statistics, and Monte Carlo simulation, we calculate the bidding probabilities in different cases. Taking into account bidding probabilities and the revenue, we put forward the bidding strategy models of the spot market and the spinning reserve market, which can be applied to calculate the power volume and bid in the multimarket so as to maximize profit and minimize the bidding risk. Enough spinning reserve volume is important to the security and reliability of the electrical system, the bidding strategy of spinning reserve market prompts power suppliers to bid, because they can get a rational profit and reduce the bidding risk from the spinning reserve market. An example supports the validity of the multimarket bidding model.

8993 
Dichotomy method in testingbased fault
localization
Sun JiRong, Ni JianCheng, and Li BaoLin
Abstract: In practice, testingbased fault localization (TBFL),
which uses test information to locate faults, has become a research
focus in recent years. Dichotomy method is presented to perform on
TBFL. First we optimize the test information itself from three aspects:
searching scope localization using slice technique, redundant test case
removal, and test suite reduction with nearest series. Secondly, the
diagnosis matrix is set up according to the optimized test information
and each code in failed slice is prioritized accordingly. Thirdly, the
dichotomy method is iteratively applied to an interactive process for
seeking the bug: the searching scope is cut in two by the checking point
cp, which is of highest priority in searching scope; If cp is wrong, the
bug is found; else we will ignore the codes before/after it according to
the result of cp. Finally, we conduct three studies with Siemens suite
of 132 program mutants. Our method scores 0.85 on average, which
means we only need to check less than 15% of the program before
finding out the bug.

84100 
Knowledge Uncertainty and Composed Classifier
Dana. Klimešová, Eva Ocelíková
Abstract: The paper deals with the relations between
knowledge management, uncertainty and the context evaluation on
the background of computer science, artificial intelligence and the
new possibilities of information technologies that can help us to
carry out the knowledge management strategies. The paper discuss
the problem of wide context (temporal, spatial, local, objective,
attribute oriented, relation oriented) as a tool to compensate and to
decrease the uncertainty of data, classification and analytical
process at all process to increase the information value of decision
support. The contribution deals with a problem of creating the
composed classifier with boosting architecture, whose components
are composed of classifiers working with k  NN algorithm (k  th
nearest neighbour).

101105 
Study of algorithms for decomposition of a numerical semigroup
Branco, M. B. and Franco, Nuno
Abstract: We study two algorithms to decompose
a numerical semigroup S as intersection of irreducible
numerical semigroups. We also present a
compared study of two algorithms to compute the intersection
of two numerical semigroups with embedding
dimension two and the same multiplicity.

106110 
Comparison of Interior Point Filter Line Search
Strategies for Constrained Optimization
by Performance Profiles
M. Fernanda P. Costa and Edite M. G. P. Fernandes
Abstract: This paper presents a performance evaluation of
three sets of modifications that can be incorporated into the
primaldual interior point filter line search method for nonlinear
programming herein illustrated. In this framework, each entry in
the filter relies on three components, the feasibility, the centrality
and the optimality, that are present in the firstorder optimality
conditions. The modifications are concerned with an acceptance
condition, a barrier parameter update formula and a set of
initial approximations to the dual variables. Performance profiles
are plotted to compare the obtained numerical results using the
number of iterations and the number of the optimality measure
evaluations.

111116 
Paper
Title, Authors, Abstract (Issue 3, Volume 1, 2007) 
Pages 
Mathematical Model for the transmission of
Plasmodium Vivax Malaria
Puntani Pongsumpun and IMing Tang
Abstract: Plasmodium vivax malaria differs from P. falciparum
malaria in that a person suffering from P. vivax malaria can
experience relapses of the disease. Between the relapses, the malaria
parasite will remain dormant in the liver of the patient, leading to the
patient being classified as being in the dormant class. A
mathematical model for the transmission of P. vivax is developed in
which the human population is divided into four classes, the
susceptible, the infected, the dormant and the recovered. Two stable
equilibrium states, a disease free state E0 and an endemic state E1, are
found to be possible. It is found that the E0 state is stable when a
newly defined basic reproduction number R0 is less than one. If R0 is
more than one then endemic state E1 is stable. The conditions for the
second equilibrium state E1 to be a stable spiral node are established.
It is found that solutions in phase space are trajectories spiraling into
the endemic state. The different behaviors of our numerical results
are shown for the different values of parameters.

117121 
Influence of incubation of virus for the
transmission of dengue disease
Puntani Pongsumpun
Abstract: The transmission of dengue disease is studied through
mathematical model. This disease is transmitted between two people
by biting of infectious Aedes aegypti mosquitoes. After infected with
dengue virus, both human and vector populations become to be
infected class before to be infectious class. Only infectious class can
transmit dengue virus to susceptible class. The original
SIR(SusceptibleInfectiousRecovered) model can not describe the
difference between infected and infectious classes. Thus the modified
model is considered in this study. This model is formulated by
separating the human population into susceptible, infected, infectious
and recovered classes. The vector population is divided into
susceptible, infected and infectious classes. The dynamical analysis
method is used for analyzing this modified model. We confirm these
results by using numerical results. We found that the infected class
decreases the periods of oscillations in the population.

122126 
Model for the transmission of dengue disease in
pregnant and nonpregnant patients
Puntani Pongsumpun and Rujira Kongnuy
Abstract: Recently, there has been a notable increase in dengue
fever and dengue hemorrhagic fever cases in both the very young and
in aged adults. Dengue pregnant women had been increasingly
reported. Many infants have severe and may suffer from
complications and even death because of difficulties in early
diagnosis and improper management. In this study, we present the
mathematical model for describing the transmission of dengue
disease in pregnant and nonpregnant humans. The different
transmission probabilities of dengue disease to pregnancy and nonpregnancy
are considered. We analyze our model by dynamical
analysis method. The numerical simulations are shown to confirm
our results. The basic reproductive rate of the disease is discussed.

127132 
Hypersonic Flow Interaction of Pitched Plates
on Blunted Cone at Incidence
Salimuddin Zahir and Zhengyin Ye
Abstract: High speed flow interactions for short protuberances
installed on a standard blunt cone configuration were studied,
aerodynamic effects were found analogous to lateral jetinteractions
for Mach 3.5 to 9.7 on a conic geometry at incidence. Static
aerodynamic coefficients, axial and lateral pressure distributions were
determined using CFD tools for flow interaction effects of pitched
short protuberance geometries of cylindrical crosssection. It has
been further established that pitched short protuberance fixed on a
blunted cone, causes an increase in normal force through altered
pressure distribution, with a consequent development of an
aerodynamic pitching moment, forward deflection of the
protuberance was found to be more effective in comparison with an
aft inclination, while similarity in predicted pressure distribution
using CFD analysis with an overall prediction accuracy of ± 8% was
found with the experimental results in the hypersonic range.

133136 
Decomposition filters for multiexponential and
related signals
Vairis Shtrauss
Abstract: Decomposition of multiexponential and related
signals is generalized as a filtering problem on a logarithmic time or
frequency scale and finite impulse response (FIR) filters operating
with logarithmically sampled data are proposed to use for its
implementation. The filter types and algorithms are found for various
timedomain and frequencydomain monocomponents. It is
established that the illposedness of the multicomponent
decomposition manifests as high samplingrate dependent noise
amplification coefficients. A regularization method is proposed based
on noise transformation control by choosing an optimum sampling
rate. Algorithm design is suggested integrating together the signal
acquisition, the regularization and the discretetime filter
implementation. As an example, the decomposition of a frequencydomain
multicomponent signal is considered by a designed discretetime
filter.

137142 
SamplingReconstruction Procedure of Markov
Chains with Continuous Time
V. Kazakov and Y. Goritskiy
Abstract: At the first time the statistical description of the
SamplingReconstruction Procedure of Markov Chains with
continuous time and with an arbitrary number of states is given. The
analytic expression for the conditional probability density of the
jump time moment is obtained. On the basis of this probability
density function the expression for the jump moment estimation is
found. The methodology of the sampling interval choice is suggested.
One illustrative example is considered.

143146 
On some interpolation problems in polynomial
spaces with generalized degree
Dana Simian, Corina Simian
Abstract: The aim of this paper is to study many interpolation
problems in the space of polynomials of wdegree n. In order
to do this, some new results concerning the polynomial spaces
of wdegree are given. In this article, we consider only the case
of functions in two variables. More details are obtained for the
weight w = (1;w2). We found a set of conditions for which,
¦n;w, the space of polynomials of wdegree n is an interpolation
space.

147150 
Algorithmic skeletons for numerical simulation
of coupled problems
Ion T. Cârstea
Abstract: This paper presents some theoretical and numerical
problems that arise in the analysis of coupled electromagneticthermal
problems in electromagnetic devices.
The principal objective of the paper is to describe some
computational aspects for coupled electromagnetic and thermal fields
in the context of the finite element method, with emphasis on the
reduction of the computing resources. We present coupled models for
magnetic field and thermal field. The mathematical model for
magnetic field is based on timeharmonic Maxwell equations in
vector magnetic potential formulation for axisymmetric fields. The
model for the heat transfer is the heat conduction equation.
We propose simplified numerical models for coupled fields in
electromagnetic devices with target examples on the induction
heating devices and highvoltage and large power cables. Domain
decomposition is presented in the context of the coupled fields. The
analysis domain is divided into two overlapping subdomains for the
two coupledfields considering physical significance of the pseudoboundary
of the two subdomains.

151158 
Distributed and Parallel Computing
in MADM Domain
Using the OPTCHOICE Software
Cornel Resteanu and Marin Andreica
Abstract: The paper presents a method for solving the general
MultiAttribute Decision Making problems, by distributed and
parallel computing, with the OPTCHOICE software. One presents
the scheduling and load balancing algorithm for concurrent solving
of problems sets on a given number of parallel computers. An
analysis on the construction of such a problem is made; in this way, a
decomposition tree having the decisionmakers on the first level, the
states of nature on the second level, and the attributes of the problem
on the third level is emphasized. Corroborated with the analysis of
the problem’s data, the above results conduct at the conviction that a
parallel algorithm for solving the general problem, starting from a
particular problem, is possible. At each tree’s level one can state
independent particular subproblems that are solved in parallel, the
subproblems at a superior level waiting for the solutions of the subproblems
at the current level. Finally, the classical TOPSIS method is
presented running in the parallel and multilevel context.

159167 
Classification of the Insurance sector with
logistic regression
Bahadtin Ruzgar and Nursel Selver Ruzgar
Abstract: In statistical case studies where categorical results such
as “successfulunsuccessful”, “illnot ill” and “goodfairbad” are
obtained as a result of evaluation of data, the logistic regression is a
rather suitable statistical method. In this study, the data for the years
2004, 2005 and 2006 from 53 companies that are active in the
insurance sector in Turkey were evaluated by using logistic
regression method. However, since the data were not sufficient for all
the insurance companies, twelve insurance companies were
eliminated from the evaluation. Fortyone companies used for the
analysis were divided into two groups depending on their activity
area. Seventeen companies were evaluated by using the data on
individual accident, health and life branches; and twentyfour
companies were evaluated by using data on fire, transportation,
engineering, agriculture, allrisks, obligatory traffic, obligatory
highway transportation, individual accident and other accident and
health branches. The success ranking of companies is made as
companies in the first 10 and companies between 11 and 20. Whether
such classification of 41 companies collides with the classification of
“successful” and “unsuccessful” companies according to geometrical
mean and median was determined with a comparison. The first sixmonth
data of 2006 year were used for control and the classification
obtained from models was compared to real classification of
companies.

168174 
Mathematical Modeling of Multiple Intelligence
Theory with Bayesian Theorem
Bahadtin Ruzgar and Nursel Selver Ruzgar
Abstract: In this work, the multiple intelligence theory proposed
by Gardner, a professor of education at Harvard University, is
modeled by Bayesian Theorem under two hypotheses. Howard
Gardner initially formulated a list of seven intelligences, and then
added two more. As a different approach, if set theory for multiple
intelligences is used, the structure of multiple intelligences to set
theory under four properties of intelligence algebra can be
generalized. Assuming that the number of intelligences increases,
Boolean algebra in set theory can be applicable. Bayesian theorem
with application of conditional probability generates a good structure
for multiple intelligences. Bayesian Theorem was applied to two
hypotheses; mutual intersections of n intelligences are empty and
nonempty sets, and using conditional probability, it can be shown
that multiple intelligences and Bayesian Theorem are in good
harmony or multiple intelligences can be explained by Bayesian
theorem.

175181 
Some algorithms for generating receipts in the
cuttingcovering problem
Paul Iacob, Daniela Marinescu, and Kinga KissIakab
Abstract: We consider a cuttingcovering problem, defined by
us in previous papers, the problem of covering a rectangular support
with rectangular pieces cut from a roll. We first prove that our
algorithm for the rectangular cuttingcovering problem without losses
is not optimal. Starting from a decomposition of a natural number in
sums of naturals we developed an algorithm for a better solution for
the rectangular cuttingcovering problem. Now we continue with the
modeling of the cuttingcovering problem like an integer linear
optimization problem. For solving this problem we can use a branchand
bound algorithm. Because, this algorithm has a high time
complexity, we construct other algorithm, which generates receipts
for the cuttingcovering problem with losses, but much faster.

182187 
Some Topological Properties of
SemiDynamical Systems
M. H. Anvari and M. Atapour
Abstract: Recently there has been an extensive study on
Relative SemiDynamical Systems (RSDSystems). In this paper,
we explore some topological properties of RSDsystems. Here, in
particular, minimal RSDsystems are characterized and transitive
homeomorphisms are investigated. Moreover,
level relative
topological entropy is extended to RSDsystems. Finally, as a
computational example, we develop an RSDsystem over the
polynomial function space R[x] based on the derivative operator;
we also calculate
level relative topological entropy for this
system.

188191 
Application of Resistivity Data in Optimizing
Fracture Network Model: A Mathematical
Approach
Nam H. Tran, Amna Ali and Abdul Ravoof
Abstract: Seismic is widely considered as the most important
data source in the energy engineering. It provides critical information
for mapping and characterization of oil, gas, condensate, geothermal
and coal bed methane reservoirs. In fractured media, however, its
application is limited. This paper presents a mathematical model in
which the relationships between seismic’s Pwave / Swave velocity
and resistivity of reservoir rock and fluid are studied. To account for
variances between the fractured and conventional porematrix media,
primary and secondary rock and fluid properties integrally examined,
including formation factor, primary porosity, secondary porosity,
tortuosity, cementation exponent, partitioning coefficient,
crystallisation and mineralisation. The relationship, being novel in
fracture heterogeneity, is validated by data from a producing
naturally fractured gas reservoir. It opens up several options to utilise
new technologies in petroleum exploration: electromagnetic survey,
magnetotelluric data, artificial neural network technique.

192196 
A First Approach to Selflearning
Statistics Activities at the UPC
M.I. Ortego and J. GibergansBáguena
Abstract: The European institutions of higher
education have undertaken one of the most important
educational reform movements in history. It
represents an opportunity for renovation and
improvement which will require profound reflection,
perseverance and a common effort on the part of all
those involved in higher education. The concepts and
strategies defined in the Bologna Process to develop
a European Higher Education Area (EHEA), involve a
change in the educative programs. This change has to
be adapted to innovative teaching and learning
processes based on achieving specific knowledge
according to the degree, and based on developing
abilities and skills to adapt that knowledge to the
professional field of work. Thus, the method has to
be focused in the learning process (based in the
student and his capability to learn) and not in the
teaching process (based in the teacher work). In
this paper, we will describe several experiences
applied at the Universitat Politècnica de Catalunya
(UPC). These experiences are based in the adaptation
of the educational plans of Statistics subjects.
Professors should have a new role, as guides in the
students' learning process. Attention is focused in
the increase of autonomous work that students will
have to do using the “SelfLearning Activities” (SLA).

197200 
Comparison of Computation Algorithm for
ThreePhase Voltage Flicker Equivalent Value
ShuChen Wang, YuJen Chen, and ChiJui Wu
Abstract: Four simple but effective computation algorithms have
been compared to calculate the threephase voltage flicker equivalent
values. Owing to violent and stochastic fluctuation in different phases
of threephase circuits, different voltage flicker components may exist
in different phases. Traditionally, the flicker components in each
phase should be calculated separately. And the averages of three
singlephase values are given to be the threephase equivalent values.
However, in this paper, it wants to investigate fast computation
algorithms to calculate directly the threephase equivalent values.
After the threephase voltage waveforms are recorded, the voltage
flicker equivalent components are obtained from the voltage
envelopes constructed by the RMS values or instantaneous voltage
vectors. The effects of jump sampling, harmonic, and power frequency
shifting are examined. Some given waveforms and fieldmeasured
waveforms are adopted to reveal the advantages of those methods.
From the study results, the method by using the instantaneous voltage
vectors are more simple and effective to obtain the threephase voltage
flicker equivalent values.

201208 
Mathematical Modelling and Numerical
Simulation of FluidMagnetic Particle Flow
in a Small Vessel
Benchawan Wiwatanapataphee, Kittisak Chayantrakom, and YongHong Wu
Abstract: Fluidsolid flow phenomena is an interdisciplinary
research area with great technological, commercial and medical
importance. One particular application is related to the drug delivery
system in which magnetic targeting offers the ability to target a
specific site, such as a tumor. This paper presents a mathematical
model and a finite element method, based on the Arbitrary
Lagrangian Eulerian approach, for studying bloodmagnetic particle
flow in small vessels. Four models with one, three, five, and nine
particles are used to analyze the flow pattern and pressure
distribution along the flow direction. Effects of magnetic force on the
bloodparticle flow are investigated.

209215 
Paper
Title, Authors, Abstract (Issue 4, Volume 1, 2007) 
Pages 
Adaptive trackkeeping control of underwater
robotic vehicle
Jerzy Garus
Abstract: The paper describes a method of control of the
underwater robotic vehicle to the problem of tracking of a reference
trajectory. A multidimensional nonlinear model expresses the
robot’s dynamics. Command signals are generated by an autopilot
consisting of four independent controllers with a parameter
adaptation law implemented. A quality of control is concerned
without and in presence of environmental disturbances. Selected
results of computer simulations illustrating effectiveness and
robustness of the proposed control system are inserted.

217222 
A novel hardwaresoftware codesign for
automatic white balance
ChinHsing Chen, SunYen Tan, and WenTzeng Huang
Abstract: As electronic techniques is continuous improved
rapidly cameras or video camcorders used for image retrieval
technology and development become digitalized. The color of the
photographs would look very different due to differences in light
projection illumination when we take a picture. Human eyes are able
to automatically adjust the color when the illuminations of the light
source vary. However, the most frequently used image sensor, charge
coupled device, CCD device can not correct the color as human eyes.
This paper presents a hardwaresoftware codesign method based on
Lam’s automatic white balance algorithm, which combines both Gray
World Assumption and Perfect Reflector Assumption algorithms. The
execution steps of Lam’s algorithm were divided into three stages. The
hardwaresoftware codesign and analysis for each stage was realized.
Three factors including processing time, Slices and DSP48s of
hardware resources were used to formulate the objective function,
which was employed to evaluate the system performance and
hardware resource cost. Experimental results shows suitable partitions
of hardwaresoftware codesigns were achieved. An embedded
processor, MicroBlaze developed by Xilinx and a floating point
processor were used to deal with the software part of the algorithm.
The hardware part of the algorithm was implemented using an
IPbased method. It is able to reduce the memory and CPU resources
of PC as well as to have the properties of easy modification and
function expansion by using such system on programmable chip
architecture.

223231 
An Asphalt Emulsion Modified by Compound of
Epoxy Resin and StyreneButadiene Rubber Emulsion
Zhang Ronghui , He Yuanhang
Abstract: A modified asphalt emulsion with superior performances will be produced after compound of waterborne
epoxy resin and styrenebutadiene rubber are mixed in emulsified asphalt. This paper describes the method and
technique for preparation of the material as well as the test and research on aspects like adhesion, various performances
of evaporation residues and durability, and the results from which reveal that this modified asphalt emulsion shows road
performances and indexes better than those of ordinary asphalt emulsion and asphalt emulsion modified by
styrenebutadiene rubber latex and will find application in engineering.

232238 
Image analysis of electrorheological
flow patterns
Petr Ponížil, Vladimír Pavlínek, Takeshi Kitano and Tomáš Dřímal
Abstract: A method of image analysis of flow patterns, which
are developed in electrorheological fluids, is presented. Due to the
process of preparation, electrorheological samples show a radial
symmetry. Numerical transformations are necessary to remove
sample deformation and obtain correct radial dependence of image
intensity as the function characterizing the sample image

239242 
Uniformly Ultimate Boundedness Control for Switched Linear Systems
with Parameter Uncertainties
Liguo Zhang, Yangzhou Chen and Nikos E. Mastorakis
Abstract: This paper presents uniformly ultimate boundedness
(UUB) control design for switched linear systems
with parametric uncertainties. Only the possible bound of
the uncertainty is needed. Under arbitrary switching laws, a
continuous state feedback control scheme is proposed in order
to guarantee uniformly ultimate boundedness of every system
response within an arbitrary small neighborhood of the zero
state. The design techniques are based on common Lyapunov
functions and Lyapunov minimax approach.

243246 
Probability of Failure on Demand for Systems
with Partial Stroke Test
J. Borcsok, P. Holub and D. Machmur
Abstract: The average Probability of Failure on Demand (PFD)
considering the Proof Test interval is one possibility to compare
different safetyrelated systems. In this paper we intend to derive the
average PFD for a 1oo1 system taking into account the Proof Test as
well as the Partial Stroke Test (PST). Thereby we will specify a
unique mathematic function without any help of a probability band.
Doing so, we get, on the one hand, additional correlations between
the reduction of PFD and the diagnostic coverage factor, and on the
other hand, between the PFD value of a system without PST and a
system with PST. Finally we will present an approximation in order
to calculate the PFD value, if the ratio between the PST interval and
the Proof Test interval is very small.

247252 
System Dynamics Simulation: an Application
to Regional Logistics Policy Making
Alberto De Marco, and Carlo Rafele
Abstract: The fastpace development of trades with the Far East
is giving the Mediterranean Sea the chance of becoming a major
logistics hub. In the Mediterraneanfront E.U. regions, public and
private investments are aimed at this opportunity by integrating
transportation networks, sea ports, and inland logistics platforms.
With specific regard to the NorthWest of Italy, a model based on
System Dynamics has been simulated to help decision and policy
makers in the task of planning and directing the investment effort.
The model provides impact analysis of freight traffic flow trends in
the region on the medium and longterm, as a result of the interaction
between exogenous variables and different casescenarios for road
and railroad infrastructure investments.

253260 
Galerkin finite volume solution of heat
generation and transfer in RCC dams
S.R. SabbaghYazdi, N.E. Mastorakis, and A.R. Bagheri
Abstract: Galekin Finite Volume solution of the temperature
field on unstructured finite volumes is introduced. In this software,
the transient PDE for heat transfer in solid media is coupled to a
suitable concrete heat generation algebraic relation. The discrete
form of the heat transfer equations is derived by multiplying the
governing equation by a piece wise linear test function and
integrating over a subdomain around any computational node. The
solution domain is divided into hybrid structured/unstructured
triangular elements. The triangular elements in the structured part of
the mesh can be activated for simulating gradual movement of the
top boundary domain due to advancing the concrete lifts. The
accuracy of the developed model is assessed by comparison of the
results with available analytical solutions and experimental
measurements of twodimensional heat generation and transfer in a
square domain. Then, the computer model is utilized to simulate the
transient temperature field in a typical RCC dam section.

261268 
Implementation of a Numerical Method for the
Stability Analysis of Asynchronous Motors
Operating at Variable Frequency
Sorin Enache, Aurel Campeanu, Ion Vlad, Monica Adela Enache
Abstract: This paper presents the way of implementation of a
numerical method for the stability analysis of a system driven by an
asynchronous motor. The simulations, the experimental results and
the obtained conclusions are detailed.

269274 
A Modal Logic Approach
to Decision Process Petri Nets
Julio B. Clempner and Jesus Medel
Abstract: In this paper we introduce a new modeling paradigm
for developing decision process representation associating
to any Decision Process Petri net (DPPN) a Kripke structure
(KS). The principal characteristics of this model is its ability to
represent and analyze the shortestpath properties of a decision
process. In this sense, we use a Lypunovlike function as a statevalue
function for path planning, obtaining as a result new
characterizations for final decision points. We show that the
dynamics of the DPPN can be captured by a KS and, some
dynamic properties of a DPPN can be stated in temporal logics.
The temporal logic is constructed according to the Lypunovlike
function syntax and semantics. Moreover, we consider some
results and discuss possible directions for further research.

275279 
Numerical Modeling and Experimental
Validation of a Turbulent Separated Reattached
Flow
Florin Popescu, Tănase Panait
Abstract: An experimental study was conducted to analyse
the field velocity of a fully developed turbulent incompressible
flow behind a backwardfacing step with a curved nose shape. The
laser Doppler anemometry was used as measurement technique.
The Reynolds number, Re, based on the step height, h, and the
maximum velocity U0max of the velocity distribution at the inlet,
was 84000.
A Fluent simulation of the flow for the same geometrical and
flow conditions as the experimental ones was performed.
The resulted velocity fields of the numerical simulation and of
the experimental study were compared and analysed.
Both the numerical and experimental results shows the
existence of four interacting zones: separated free shear layer, the
recirculating region under the shear layer, the reattachment region
and the attached/recovery region.

280284 
Accuracy Assessment and Application of 3D
Galerkin Finite Volume Explicit Solver for
Seepage and Uplift in Dam Foundation
S.R. SabbaghYazdi, N.E. Mastorakis, and B. Bayat
Abstract: In this paper, development of a Galerkin finite
volume threedimensional seepage solver on mesh of tetrahedral is
described. The numerical analyzer is utilized for solving the seepage
in porous media and uplift under gravity dams with upstream cut off
wall. The results of numerical solver in terms of uplift pressure in
natural foundation of a gravity dam with upstream cut off wall are
compared with analytical solutions obtained by application of
conformal mapping technique for a constant unit ratio of foundation
depth over half of dam base (T/b =1). The accuracy of the results
computed uplift pressure for homogeneous and isotropic condition
present acceptable agreements with the analytical solutions for
various ratios of cut off wall depth over half of dam base (s/b).
Having assessed the accuracy of the model, it is applied to evaluate
the quality of the results of the common empirical relations for uplift
pressure estimation. In order to present the ability of the verified
model to cop with real world problems, it is applied to solve seepage
through a natural porous foundation of a gravity dam with three
incline layers with different coefficients of permeability.

285293 
Modeling lanechanging behavior based on
queue length at an urban signalized
intersection
Amiruddin Ismail, Shahrum Abdullah, Azami Zaharim, and Ibrahim Ahmad
Abstract: This research aims to study and develop models for
driver’s lanechanging behavior in urban areas using logistic
regression method. Initially a pilot study was conducted using a
videotape recording technique to film an approach road leading to a
signalized intersection in an urban road during the morning offpeak
period. Inter related coding methods were designed to described and
verify the driver’s lanechanging maneuver. Later more videotaping
studies were done to develop part of the questionnaires. A
questionnaires study to analyze the driver’s background, experience,
attitudes, lanechanging practices and their driving behavior on the
road was carried out in order to develop lanechanging behavior
models using the logistic regression method. 14 models of lane and
nonlane changing were developed and validated statistically. The
statistical validations were based on parameters such as Omnibus test
of model coefficients,  2 Log likelihood, Cox and Snell R square,
Nagelkerke R square, Hosmer and Lemeshow test, Chisquare,
classification table, standard error, wald statistic, degree of freedom,
test for significance, odds ratio and histogram of estimated
behavioral probabilities.

294299 
Comprehensive Survey on Distance/Similarity
Measures between Probability Density
Functions
SungHyuk Cha
Abstract: Distance or similarity measures are essential to solve
many pattern recognition problems such as classification, clustering,
and retrieval problems. Various distance/similarity measures that are
applicable to compare two probability density functions, pdf in short,
are reviewed and categorized in both syntactic and semantic
relationships. A correlation coefficient and a hierarchical clustering
technique are adopted to reveal similarities among numerous
distance/similarity measures.

300307 
Architecture for filtering images using Xilinx
System Generator
Alba M. Sánchez G., Ricardo Alvarez G., Sully Sánchez G.; FCC and FCE BUAP
Abstract: This paper presents an architecture for filters pixel by
pixel and regions filters for image processing using Xilinx System
Generator (XSG). This architecture offer an alternative through a
graphical user interface that conbines MATLAB, Simulink and XSG
and explore important aspects concerned to hardware
implementation.

308314 
Advanced Synchronization Scheme for Wideband Mobile Communications
Yumi Takizawa, Saki Yatano, and Atushi Fukasawa
Abstract: This paper describes a high performance synchronization scheme based on analog matched filters. Synchronization is the toughest problem for wideband urban mobile communications. A simplified configuration for wideband radio system was designed with advanced synchronization by matched filter technologies.
A set of parallel matched filters has been composed of CMOS semiconductor technologies. New scheme has been proved to realize radio systems with simplified configurations and high performances.

315319 
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