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2007
Editorial
Board
Prof. Metin Demiralp (Turkey),
Prof. A.Kuri-Morales (Mexico),
Prof. V.Mladenov (Bulgaria),
Prof. G.Bognar (Hyngary),
Prof. Lotfi A. Zadeh (USA),
Prof. Leonid Kazovsky (USA),
Prof. T.Kaczorek (Poland),
Prof. L.Chua (USA),
Prof. O.Martin (Romania),
Prof. C.Udriste (Romania),
Prof. N.Mastorakis (Greece),
Prof. D.Bertsekas (USA),
Prof. R.Yager (USA),
Prof. Anping Xu (China),
Prof. M. A. Breuer (USA),
Prof. M.Wasfy (USA)
Topics
All aspects of classic and modern applied mathematics are covered including
algebra, differential equations, probability, statistics, operational research,
optimization, algorthms theory, computational complexity, control . It appears
quarterly. Special Issues are specially encouraged.
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Issue 1, Volume 2, 2008
New Artificial Neural Network based Test for the Detection of Past Population Expansion using Microsatellite Loci
by Krzysztof A. Cyran, Dariusz Myszor
Abstract:
Detection of the past population growth is one of the crucial issues in contemporary population genetics.
The importance of the problem is especially well understood in the context of neutral theory of evolution
at molecular level proposed by Kimura. This theory often serves as neutral hypothesis in the search for
genes which underwent natural selection. The conclusions in such studies can be false if population
expansion was present but not detected and therefore not introduced into the model. In the paper we
present novel statistical test which emerged from application of artificial neural networks theory. The test
is designed to detect past population growths based on genetic microsatellite data. In experimental part
of our research we created set of samples, using forward in time simulation methods. These samples were
picked at random from simulated populations that had undergone growths of different types and intensities.
Then, we created and trained series of different artificial neural networks and checked power of new tests
based on these networks. We also compared powers of new tests with powers obtained by known methods
based on microsatellites. Our studies showed that proposed by us new test provides better power in detection
of population growth than the best currently available tests based on microsatellites i.e. Kimmel?s and King?s imbalance indices.
Keywords:
stochastic computer simulations, population growth detection tests, artificial neural networks, microsatellite loci, single step mutation model .
Full Paper, pp. 1-9
Coalescent vs. Time-forward Simulations in the Problem of the Detection of Past Population Expansion
by Krzysztof A. Cyran, Dariusz Myszor
Abstract:
The objective of this article is to show advantages and disadvantages of time-forward simulations
as compared to the simulations performed backwards in time. The posed general issue is then
narrowed to the problem of detection of past population expansion. The detection of population
expansion is relevant in population genetics studies and there are plenty of methods used for
that purpose. One of them utilizes genetic information preserved in microsatellites present in great
abundance in the genome. We address the problem by simulating microsatellites evolution in different
population growth scenarios. Namely we use time-forward computer simulation methods and compare
results with results obtained by other researchers whiu used coalescent methodology. We argue that
feed-forward simulation which are based on real life scenarios when succeeding generations are picked
from the preceding one are becoming more and more suitable tool for population genetics with the increasing
computational capabilities of contemporary computerss
Keywords:
Time-forward computer simulations, coalescent methods, population growth detection tests, short tandem repeat motifs.
Full Paper, pp. 10-17
Design and Analysis of Various Models of RC5-192 Embedded
Information Security Algorithm
by Omar Elkeelany
Abstract: This article
presents the design and analysis of various hardware reconfigurable models of
RC5 Encryption algorithm. The original contribution herein is to determine the
effects of loop-unrolling design concept on improving the encryption
performance. We show how we determined the optimal design value of the number of
unrolled loops to implement the RC5 algorithm using 192-bit encryption key. The
various models tested were based on single-custom processor with
no-loop-unrolling and with various sizes of loop unrolled implementations. In
this research, various performance measures were considered. Namely, these were;
the maximum frequency of operation, circuit size, throughput and energy
consumption. To achieve proper comparison results, all models were implemented
in the same hardware reconfigurable chip, a Field Programmable Gate Array (FPGA).
The performance metrics of each model were evaluated to determine the best
hardware model. Verilog hardware description language was used to model and test
all implementations. Results revealed that while no-loop-unrolling provided the
least circuit size, the 3-loop-unrolled approach provided the highest encryption
throughput. Further, a throughput speed up of 24% was achieved as compared to a
reference system implemented in a similar target device using a Xilinx FPGA
family. Comparing our implementations on the same Altera FPGA family, a maximum
throughput speed up of 50% was achieved. These results provide a much better
ground for applications involving high performance embedded data security, such
as in military communications, nuclear digital instrumentation and control, and
portable biomedical devices.
Keywords:
Cryptography, FPGA design and analysis, RC5 encryption,
Loop-unrolling
Full Paper, pp. 18-27
Towards a Framework for Hotel Website Evaluation
by Mario Spremic, Ivan Strugar
Abstract: The growing
importance of tourism industry in world economy reflects on tourism growing
importance in Croatian economy as well. Tourism industry represents one of the
areas in which Internet technology has a significant influence changing some of
the key industry premises. Hotel website offers new opportunities for hoteliers.
But it is essential to hoteliers to evaluate their web presence and to compare
their quality with competition in the marketplace. Building evaluation framework
and procedure for this purpose is not simple task. This paper presents one
possible framework for hotel website evaluation performed to evaluate the Web
sites of Croatian high class hotels and their content. The study results show
that management of Croatian top hotels is still using Web and Internet
technology for presentation purposes solely and there is no conscious that its
content needs to be managed well. It is obvious that Internet is still not
adequately understand, accepted and integrated within hotel management in
Croatia. The absence of the very basic information about the hotel and their
offer, e-mail form request for reservation information illustrate this hotel
management attitude.
Keywords:
Tourism, hotel web sites quality, survey, Croatia
Full Paper, pp. 28-36
Issue 2, Volume 2, 2008
P2P Audio/Video Protocol with Global Positioning Data in
Real Time for Mobile Devices
by Jose-Vicente Aguirre, Rafael
Alvarez, Leandro Tortosa, Jose-Francisco Vicent
Abstract: In this paper, we
propose an original method to geoposition an audio/video stream with multiple
emitters that are at the same time receivers of the mixed signal. The obtained
method is suitable when a list of positions within a known area is encoded with
precision tailored to the visualization capabilities of the target device.
Nevertheless, it is easily adaptable to new precision requirements, as well as
parameterized data precision. This method extends a previously proposed
protocol, without incurring in any performance penalty.
Keywords:
Codification, geodesic coordinates, Multiparty, Stream,
VoIP, Videoconference, P2P, Security, Pocket PC, Smart Phone, PDA
Full Paper, pp. 37-46
Monotone Systems Approach in Inductive Learning
by Peeter Roosmann, Leo Vohandu, Rein
Kuusik, Tarvo Treier, Grete Lind
Abstract: In this paper we
present a new approach for machine learning (ML) task solution based on Monotone
Systems Theory, an inductive learning algorithm named by the authors as MONSIL (MONotone
Systems in Inductive Learning). It has some advantages compared with several ML
algorithms as rules overlapping, it can use several pruning techniques etc. The
algorithm MONSIL usually produces more rules than other ML algorithms and it
means that it would be more work-consuming than others, but as our experiments
show, MONSIL works quite effectively.
In the paper we define also main terms of monotone systems theory, describe how
to create monotone system to the data table and describe main advantages of the
monotone systems approach. We also prove that concept description found by
MONSIL is complete and consistent, explain algorithm’s main steps on examples
and discuss results of experiments comparing MONSIL effectiveness with
well-known ID3.
Keywords:
Inductive learning, Machine learning, Machine learning
algorithm, Monotone systems theory
Full Paper, pp. 47-56
A Secret Sharing Scheme Based on Exponentiation in Galois
Fields
by Clara M. Gallardo, Leandro Tortosa,
Jose F. Vicent, Antonio Zamora
Abstract: To provide more
efficient and flexible alternatives for the applications of secret sharing
schemes, this paper describes a threshold sharing scheme based on exponentiation
of matrices in Galois fields. A significant characteristic of the proposed
scheme is that each participant has to keep only one master secret share which
can be used to reconstruct different group secrets according to the number of
threshold values.
Keywords:
Computer security, cryptography, public-key cryptography,
threshold schemes, prepositioned secret sharing
Full Paper, pp. 57-66