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International Review on
Computers and Software - Papers
Adaptable and Adaptive Web Applications: From Design to Generation
by R. Ben Djemaa, I. Amous, A. Ben Hamadou
Abstract
- Engineering adaptive Web applications imply the development of content that
can be automatically adjusted to varying client devices and user preferences. To
meet this requirement, we present in this paper an audience-driven approach for
adaptive web applications called GIWA. GIWA‘s target is to facilitate the
automatic execution of the design and the automatic generation of adaptable web
interface. The GIWA design methodology guides the designer through different
steps of the design process, each of them yielding a specific model that is
being interpreted by the GIWA tools to achieve the objective of automatic
presentation generation. The GIWA methodology is based on different step:
requirement analysis, conceptual design, adaptation design and generation.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Adaptive Web Application, GIWA, design, generation.
Remote Control on Internet, Long Distance Experiment of Remote Practice Works,
Measurements and Results
by L. Kaddour-El Boudadi, J. Vareille, P. Le Parc, N. Berrached
Abstract
- The aim of
our work is to control remotely mechanical systems which have nowadays local
controls. With the development of the e-technologies, improvement of the network
in term of time and band-width, the remote control will be common and will be
made using networks without true quality of service, even unpredictable like
Internet. In a first part of this paper, we are presenting some existing
applications we have used. In a second part, we are describing generic software
architecture to realize such remote control and a methodology to take into
account the unpredictable nature of the communication media. In the third part
we present experimental results of long distance remote control.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Remote Control, Internet, Methodology, Reliability, Networks.
An Implementation of Dynamically Administered Role-based Access Control on the
Web
by A. K. Mattas, I. K. Mavridis, I. G. Pagkalos
Abstract
- Access control administration regulates and enforces the definition of the
components of an access control system by authorized administrative users. The
shortcomings of classical access control models, as they are applied in today’s
Web-based applications that are commonly used in collaborative and distributed
enterprise environments, can effectively be addressed by dynamic administration.
In this paper, the implementation and application of the DARBAC (Dynamically
Administering Role Based Access Control) model in the banking sector is
demonstrated. By this demonstration, the benefits that are related to
improvements in the administration of role-based access control (RBAC) and
provision of tight and just-in-time access control without jeopardizing the
simplicity of administration are clearly revealed.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Computer security, Access control, RBAC, DARBAC.
Load Balancing and Static Placement/Scheduling Heuristic on Distributed
Heterogeneous Architecture
by R. Saouli, M. Akil, T. GrandPierre
Abstract
- In this work, we are concerning by the improvement of optimized static
heuristic in distributed and heterogeneous architecture. Thus, in order to take
into account the load-balancing criterion, a need for a dynamic model is related
to the use of heuristic based on list scheduling. The greedy list algorithms are
well adapted, for they help the designer to rapidly obtain an efficient
implementation and so to shorten development cycle of an application. This paper
presents a dynamic model based on agent concept, coupled with an off line
(static) heuristic. Our model has been simulated in programming parallel
environment Xpvm. We show the integration of our model in the transformations
flow, that implicates a heuristic to generating a real time distributed
executive. This integration will be implemented in system level CAD software
tool called SynDEx which, is a seamless flow based on graphs transformations.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
multi agents systems, distribution/scheduling heuristics, static load balancing,
AAA methodology, graph models, graph transformations.
by F. N. Sibai
Abstract
- With multi-core products hitting every market segment, we focus on a 16 core
cluster-based architecture comprised of 4 clusters. Assuming the L1 cache
memories are private, we conduct SPEC92 simulations to study the effect of the
block size, associativity, and cache size on the L1 cache hit rate. We observed
significant drops in hit rate as the number of processors per cluster was
increased from 1 to 4 with the largest drop occurring when boosting the number
of processors from 1 to 2. This result leads to discouraging the design of small
clusters with less than 4 cores per cluster and confirms that 4-core clusters
are properly sized. In caches of at least 16KB and with 1024 blocks, we observed
no significant benefit to increasing the associativity beyond 8, and identified
the best block sizes to be 256B and 128B. Furthermore, hit rate improvements due
to quadrupling the number of blocks and consequently the cache size were
insignificant for block sizes of 64B or higher in caches with at least 256
blocks. For the SPEC92 benchmark, a 128KB 8-way set associative L1 cache with a
block size of 64B is adequate.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Multi-Core Architectures, 4-way CMP Clusters, Cache Performance.
Visually Mining Relational Data
by Y. Chiricota, G. Melançon
Abstract
- Mining relational data often boils down to computing clusters, that is finding
sub-communities of data elements forming cohesive sub-units, while being well
separated from one another. The clusters themselves are sometimes termed
“communities” and the way clusters relate to one another is often referred to as
a “community structure”. Methods for identifying communities or subgroups in
network data is the focus of intense research is different scientific
communities and for different purposes. The present paper focuses on two novel
algorithms producing multilevel community structures from raw network data. The
two algorithms exploit an edge metric extending Watts's clustering coefficient
to edges of a graph. The full benefit of the method comes from the multilevel
nature of the community structure as it facilitates the visual interaction and
navigation of the network by zooming in and out of components at any level. This
multilevel navigation proves to be useful when visually exploring a network in
search for structural patterns.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Network analysis, Visual Interaction, Graph Mining.
CLOMAINT: A Data Mining Algorithm Applied in Maintenance SONATRACH
by R. Sid Ahmed, K. Salim, B. Hafida
Abstract
- Plant maintenance produces daily large amounts of repairing data which contain
hidden and valuable knowledge. This knowledge can be used for reduce the cost of
maintenance, the time of intervention, in extreme case for saving the human
life. In this paper, we designed an algorithm named CLOMAINT which is based on
the ideas of the pattern-growth method for mining closed frequent calling
patterns of SONATRACH maintenance database. First, by observing the features of
the database and then extracting the attributes needed to be mined. Then, we
merge the items to form an itemset, the algorithm is now applied to the
transformed database. CLOMAINT is built on the basis of viewing knowledge
discovery as an interactive and iterative process in order to optimize decision
making. The quality of the knowledge discovered is evaluated. The experimental
results show the knowledge of closed frequent patterns obtained is very useful
and easy to interpret by the plant maintenance operators.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
closed frequent pattern, maintenance database, knowledge.
Speech Denoinsing and Arabic Speaker Recognition System Using Subband Approach
by Z. Sakka, A. Kachouri, M. Samet
Abstract
- This paper proposes an efficient speech recognition method for Arabic
language. A Hidden Markov Models based speech recognition system was designed
and tested with automatic Arabic word recognition. The system is an isolated
whole word speech recognizer and it was implemented as both a wideband speech
signal and a subbands spectral recognition modes. We particularly discuss the
selection of the most critical subbands for the speaker recognition task and the
choice of an optimal division of the frequency domain. An appropriate selection
of the most critical subbands shows that very good performances are still
obtained with only half of the frequency domain, the strategy of decision rests
on the individual decisions of recognizers in each subband. This recognition
system achieved a 89.5% correct word recognition in the wideband mode, and
95.25% in subbands mode. A comparison between the various variants of analysis
will be made to observe their performances.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Arabic words, recognition, speech, subband, HMMs.
Improving Numerical Libraries
by K. Zotos
Abstract
- The increasing availability of advanced-architecture computers has a
significant effect on all spheres of scientific computation, including algorithm
research and software development in numerical linear algebra. Linear algebra
-in particular, the solution of linear systems of equations- lies at the heart
of most calculations in scientific computing. Much of the work in developing
linear algebra software for advanced-architecture computers is motivated by the
need to solve large problems on the fastest computers available. For the past 10
years there has been a great deal of activity in the area of algorithms and
software for solving linear algebra problems. The goal of achieving high
performance on codes that are portablxe across platforms has largely been
realized by the identification of linear algebra kernels, the Basic Linear
Algebra Subprograms (BLAS). This paper discusses some of the developments in
numerical libraries design.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Numerical software, numerical software performance, software design.
Aided-Computer Evaluation of Nonlinear Combination of Financial Forecast with
Genetic Algorithm
by A. Ozun, A. Cifter
Abstract
- Complexity in the financial markets requires intelligent forecasting models
for return volatility. In this paper, historical simulation, GARCH, GARCH with
skewed student-t distribution and asymmetric normal mixture GRJ-GARCH models are
combined with Extreme Value Theory Hill by using artificial neural networks with
genetic algorithm as the combination platform. By employing daily closing values
of the Istanbul Stock Exchange from 01/10/1996 to 11/07/2006, Kupiec and
Christoffersen tests as the back-testing mechanisms are performed for forecast
comparison of the models. Empirical findings show that the fat-tails are more
properly captured by the combination of GARCH with skewed student-t distribution
and Extreme Value Theory Hill. Modeling return volatility in the emerging
markets needs “intelligent” combinations of Value-at-Risk models to capture the
extreme movements in the markets rather than individual model.
Copyright © 2007 Praise Worthy Prize S.r.l. - All rights reserved
Keywords:
Forecast combination, Artificial neural networks, GARCH models, Extreme value
theory, Christoffersen test.
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