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International Review
on Computers and Software - Papers
 A
Novel Algorithm for Impulse Noise Classification in Digital Images
by Hamed
Vahdat-Nejad, Behrouz Tork-Ladani, Kamran Zamanifar, Nasser Nematbakhsh
Vol. 4. n. 6, pp. 627-632
Abstract -
Noise reduction is a major
concern in digital image processing systems, which have been
investigated by several techniques. One kind of important noises in
images is known as Salt & Pepper, which may have different causes. In
this paper a new approach for eliminating this type of noise is
presented. The approach is different from all previous works in this
field, and is based on classification. More precisely, it tries to
classify pixels of an image to one of two categories: noisy or not noisy.
Afterward, it employs a median filter for pixels which have been
classified as noisy, and remains others unchanged; hence, edges and
other fine details are kept. Experimental results show this sustaining
capability of the proposed scheme both in visual inspection and
numerical measurement.
Copyright © 2009 Praise
Worthy Prize S.r.l. - All rights reserved
Keywords:
Image processing, Noise reduction, Pattern recognition, Salt &
Pepper noise.
Spectral
Clustering and Dimensionality Reduction Applied to Content Based Image
Retrieval with Hybrid Descriptors
by K. Houari, Y.
Chahir, M. K. Kholladi
Vol. 4. n. 6, pp. 633-639
Abstract - The topic
of research exposed in this paper concerns Content Based image retrieval
in a heterogeneous high database. The increase of storage capacities and
the evolution of compression techniques have generated an explosion of
the digital information quantity. Their computerization opens a vast
field of applications. In this setting we are interested more especially
in the problem of the dimensionality reduction and spectral clustering
of a heterogeneous database of images in order to image retrieval by the
content. Our new gait described in this paper consists to: in first
phase the description of the database images by a hybrid descriptor
which are Interest SIFT points combined with texture descriptor given by
the application of Wavelet transform. The descriptor is
multi-dimensional, robust and invariant to changes and scales. In second
phase the representation of the database images as a convex graph. In
third phase the reduction of the space of representation by the
application of an unsupervised spectral classification (The Spectral
training uses information contained in the eigenvectors of the
normalized matrix of transition to detect structures in data.) That will
provide us classes of images that has shortcoming the Eigen-values
calculated on the matrix of symmetry. As last phase, we use the Nyström
theory that will permit us, not to recalculate the all Eigen-values, but
only the lasts one.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Image retrieval, Sift, Clustering, Texture, Nyström.
Tracking
and Analyzing Human Motion in Video
by M.
Abdellaoui, A. Douik, K. Besbes
Vol. 4. n. 6, pp. 640-647
Abstract - In this
paper we present a new approach for tracking of human body in real video
scenes, analyzing gestures and actions achieved by arms and legs and
classifying global movements realized by the body. The detection and
characterization of body in the different images of the sequence are
achieved by using an image registration and a set of points of interest
(POIs) issued from Harris corner detector. The tracking is achieved by
template matching between POIs in a pair of consecutive frames in the
sequence and is based on various distance calculation criteria. Gesture
classification is done by the use of membership functions for angles
realized by arms and legs. Movement analysis is made by an intelligent
decision-making tool based on least squares method and model
identification, able to estimate direction and orientation of body
motion.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Body tracking, Points of interest, Human motion analysis.
An
Intelligent Tree Based Clustering Method for Large Multi Dimensional
Data
by
Sarwar Hadi, Rizwan Beg, Sheenu Rizvi
Vol. 4. n. 6, pp. 648-651
Abstract - This
paper proposes a new index structure based on a forking technique in
order to store legs. The idea is to visualize multi dimensional data
with a class label such that their degree of impurity with respect to
class membership can easily perceived by the user. The data is
represented in heuristic tree leg (HTL) making use of filtering based
index structure. We have developed a software which uses a decision tree
to partition the data space into cluster and empty regions at different
levels of Nodes. It dynamically generates legs based on classifications.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Forking Index Structure, Cluster Generation, Leg Identification,
Heuristic Tree Leg.
by P. V.
Muralidhar, A. S. Srinivasa Rao, S. K. Nayak
Vol. 4. n. 6, pp. 652-657
Abstract - The
Fractional Fourier transform (FRFT) is the generalization of the
classical Fourier transform (FT). The FRFT was introduced about seven
decades ago as literature reveals. It appears that is was remained
largely unknown to the signal image processing community to which it may
be potentially useful. In our paper an attempt has been made to evaluate
these window functions in fractional Fourier transform domain. The
parameters of windows which are used for the evaluation are Maximum side
lobe level (MSLL), Selectivity or half Main lobe width (HMLW).In this
paper have been compared the results of Fourier transform and fractional
Fourier transform by applying each of the transform on the windows.
Here, we have been considering different types of windows BLACKMAN
WINDOW, HANNING WINDOW, RAISED COSINE WINDOW for implementation of
fractional Fourier transform.And also interpreted using with different
windows select finite segment from sinusoidal signal that continuous for
all the type.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Fractional Fourier Transform, Window.
Practical
Approach to Genetic Algorithm Cryptanalysis
by Akram A.
Moustafa, Ziad A. Alqadi, Majed Alduari, Saleh Alomar
Vol. 4. n. 6, pp. 658-663
Abstract - In this
paper, differential attacks were described and the genetic algorithm was
deployed in differential attacks. The attack on SPN and all points was
taken into consideration and an implementation with MS visual C++ .Net.
The idea behind using a native implementation instead of using a ready
package for genetic algorithm is to reach an optimal implementation of
the attack and to work on bit-level implementation whenever it is
possible. The steps of the GA algorithm were described, tested, and
implemented to get key bits of the last round; essentially the attack
shall continue upward to get the entire key bits.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Genetic algorithm (GA), Substitution Permutation network (SPN),
Fitness, Attack, Sub-key, Differential probability.
Data
Warehousing for Managing Health Care Organisations
by
Rajesh Sharma, Gitesh K. Raikundalia, Christopher A. Bain
Vol. 4. n. 6, pp. 664-671
Abstract - Timely
and detailed information is a crucial factor when it comes to efficient
management of any organisation. Managers these days seek greater help of
information systems to aid them in decision making. Organisations desire
systems and technology that will efficiently gather data and disseminate
information. The current need is a system that serves as the information
power house of an organisation and provides a multidimensional view of
data. This need is now being fulfilled by a technology known as Data
Warehousing.
A Data Warehouse (DW) is fast becoming an important tool in many
organisations. Like other organisations, Health Care Organisations (HCOs)
are also exploiting the advantages of a DW in managing their
organisation. HCOs are benefiting from application of technologies and
systems tried and tested in other organisation like Wal-Mart, BMW etc.
The aim of this paper is to investigate the usefulness of a DW in
managing a HCO and to investigate the challenges faced in developing a
DW for an HCO. Two important questions addressed by the research in this
paper are: (1) How useful is a DW in managing HCOs? and (2) What are the
challenges/barriers faced in developing a DW in HCOs?
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Data Warehousing, Health Care Organisations.
Automated
Complementary Association Learning from Web Documents
by Zhila Nouri,
Mohammad Ali Nematbakhsh, Mohammad Reza Khayyambashi
Vol. 4. n. 6, pp. 672-683
Abstract - In recent
years, much effort has been put in finding semantic associations between
items. One type of these associations is complementary association
between items which determines an item that its usage is interrelated
with the use of an associated or paired item such that a demand for one
generates demand for the other. This association has many applications
in the field of economics and marketing. This paper presents a novel
contribution in this area, proposing an automatic and unsupervised
method for acquiring complementary associations between products in a
product catalog, framed in the context of domain ontology learning,
using the Web as corpus. The paper also discusses how obtained
associations can be automatically evaluated against WordNet and presents
encouraging results for several categories of products.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Semantic associations, Complementary products, Ontology learning
from text.
The
Use of GPS for Measuring the Technical and Tactical Performances of
Soccer Players
by Imed Jabri,
Tahar Battikh, Charni Yosser H.
Vol. 4. n. 6, pp. 684-687
Abstract -
We experience in this paper a procedure which uses GPS for identifying
the positions of football players during a test match. Four defenders
were requests from this experiment. We have noted the positions of these
players 10 times per second throughout a match. We were thus able to
measure total and specific traveled distances. We could also trace the
trajectories of the players and determine the velocity and acceleration
in function of time. We got through this testing a database of the match
which can be exploited in various ways: technical, physical, tactical
and so on. .... Specific treatment may be developed according to the
needs of the target population: coaches, players, managers etc...
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Sport, GPS, Soccer, Trajectory, Football, Distance traveled,
Velocity.
Ubiquitous
Viruses Behavior Study at Mobile Internet Device Security
by Ching-Chiang
Chen , Dong-Her Shih , Hsiu-Sen Chiang
Vol. 4. n. 6, pp. 688-697
Abstract - The
Mobile internet device virus has already become an important security
topic which will produce huge impacts to enterprises and personal users.
The Mobile internet device virus may cause the damage of the user's
personal secrets revealing, cell-phone function, extra service expenses
of production, and the worry had inconveniently and safely which the
user uses. Therefore, this research plans to build Mobile internet
device virus behavior ontology, based on the behavior among the virus
and characteristic that can't be altered. The study applied on Web
service concept and ontology project method to construct virus behavior
ontology of the cell-phone one by one. Last but not the least,
experiencing Web Service borderless ability strengthens the strong
ability to express of knowledge of ontology and achieves the purpose
that knowledge share through Web Service. In this study, we find that
let more people know this behavior and potential danger of Mobile
internet device virus is very important. Finally we hope ubiquitous
protection mobile internet device security and detection viruses.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Ubiquitous, Virus, Web service, Mobile internet device.
Hash
Algorithms for Security on GSM System
by M. Al Rababaa,
M. Al Kofahi, F. Al-Saqqar, “S. A.” AlRababah
Vol. 4. n. 6, pp. 698-703
Abstract - As it has
strong security features, GSM (Global System for Mobile communications)
becomes a popular system which is widely used in mobile communication.
Hand held devices are not only used for delivering communication
facilities, but also they are used in mobile commerce (m-commerce)
transactions. As such, security concerns become more and more important
when using mobile systems. This paper suggests using Hash algorithm
within GSM to protect massage sending and receiving. Five famous Hash
algorithms (MD5, SHA1, SHA 384, SHA256,SHA512) were tested with 128
Kbyte files to see which is the best algorithm to be used in mobile
devices that supports GSM capabilities, depending on memory usage and
power consumption.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
GSM system, Hash algorithms, Mobile system, M-commerce.
A
Real Time Distributed Approach for Data Placement in Mission Critical
Wireless Sensor based applications
by Sanjeev Gupta,
Mayank Dave
Vol. 4. n. 6, pp. 704-713
Abstract - One of
the main challenges in any real-world mission critical WSN based
applications is to match the available resources with the needs, at the
right time and to the right people. In such applications there may be a
need to rapidly respond to sensor input. Moreover, the collected and
delivered sensor data shall be valid at the time of action. Thus the
issue of energy saving, enhanced availability and reliability are
extremely important for taking effective decision. The existing
approaches are quite unstructured in nature which results in poor
resource management and hence inefficiency. Therefore there is a need
for an application specific decentralized approach for managing data. In
this paper the architecture for reliable and real time approach by using
sensor clusters has been proposed for storage management. It is assumed
that the sensor nodes are aware of their locations in their deployment
area, and they are time synchronized. For data dissemination and action
in the wireless sensor network the usage of Action and Relay Stations (ARS)
has been proposed. In this paper, various design parameters pertaining
to the architecture have been studied and analyzed in order to achieve
the objective of reliable and efficient communication performance.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Data Persistent; Reliability, Centralized Clustering, Base
Station, Action and Relay Stations (ARS), Cellular.
Gateway
Discovery for Ad Hoc Nodes
by K.
Adel-Aissanou, D. Aissani
Vol. 4. n. 6, pp. 714-717
Abstract - Wireless
networks are becoming ideals to get an internet connection for they are
able to allow users the freedom of movement. But users seek more
mobility. An alternative for wireless networks with infrastructures are
Ad Hoc networks. Such a network consists of mobile units which use
wireless interfaces without the assistance of a pre-existing
infrastructure. If an ad hoc node has an Internet connection, it is
interesting that this node offers the connection to others nodes which
are not in the Internet field by becoming a gateway for its network. In
this paper, we present and evaluate an algorithm for gateway discovery
in multi-clusters Ad Hoc networks.
Our approach is different than the known ones in the solicitation
procedure. To get an Internet access, a mobile node discovers a gateway
to the wired network. The mobile node must ask its cluster-head and this
one gives a solicitation message to the gateway. The performance of our
algorithm in terms of number of solicitation messages received by a
gateway node is compared to the well known methods using NS-2
simulations.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Ad Hoc Networks, Gateway IP-Ad Hoc, Cluster-head, Algorithm
Discovery.
States
and Conceptual Modeling of Software Systems
by Sabah S.
Al-Fedaghi
Vol. 4. n. 6, pp. 718-727
Abstract -
Conceptual modeling provides a foundation for the development phases of
software systems. UML has become one of the major conceptual modeling
tools in Object-Oriented software engineering, used in a wide range of
applications and domains; however, concerns have recently arisen
regarding UML tools used in this area. In this paper, we scrutinize the
concept of State utilized extensively in UML statecharts. We show that
statecharts do not generally provide a clear definition of States when
applied in the conceptual modeling of software systems. We also
introduce a flow model as a viable alternative to statecharts in this
type of application.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Software conceptual modeling, Object-oriented software, UML,
Statecharts.
Scheduling
Hard Real-Time Tasks in Multicore General Purpose/ Special Purpose
Processors Systems-on-a-Chip: an Energy-Aware Approach
by Rodrigo Santos,
Jorge Santos, Javier Orozco, David Donari, Leo Ordinez
Vol. 4. n. 6, pp. 728-736
Abstract - In this
paper an energy-aware scheduling algorithm for heterogeneous multicore
general purpose/special purpose processors systems-on-a-chip is
presented. The load consists in chains of precedence-related tasks. A
systematic search method to find an optimal set of reduced frequencies
that diminish the energy consumption is proposed. Evaluations were
conducted by means of extensive simulations.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Real-Time Systems, Scheduling, Multicore Systems-on-a-chip.
Interval
Cycle Time Estimation in a Semiconductor Manufacturing System with a Data-Mining
Approach
by Yu-Cheng Lin,
Toly Chen
Vol. 4. n. 6, pp. 737-742
Abstract - A
data-mining approach is proposed in this study for estimating the
interval cycle time of each job in a semiconductor manufacturing system,
which was seldom investigated in the past studies but is a critical task
to the semiconductor manufacturing system. The proposed methodology
applies the look-ahead SOM-FBPN approach to estimate the step cycle
times of the beginning step and the ending step, and then derives the
interval cycle time. For evaluating the effectiveness of the proposed
methodology, production simulation is also applied in this study to
generate some test data.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Semiconductor Manufacturing System, Data Mining, Interval Cycle
Time.
Evaluation
of Location/Allocation Methods in a Continuous Space Using Genetic Algorithm
by N.Mohammadi, M.
R. Malek, A. A. Alesheikh
Vol. 4. n. 6, pp. 743-748
Abstract - Facility
location decisions are a critical element in strategic planning for a
wide range of private and public firms. Several problems and methods
exist for location facility centers. Each of these methods is
appropriate for solving one type of problems according to the given
constraints.
In the framework of this research, different location methods and
problems are classified in four general distinct classes and each method
is formulated as an optimization problem. Whereas these problems are
NP-hard, a genetic algorithm as a robust and adaptive method is proposed
to solve optimization problems. Our proposed genetic based method is an
appropriate algorithm for continuous space that can choose anywhere in a
region for facility centers without limitation. In order to evaluate the
efficiency of genetic algorithm for solving location problems, a region
with large amount of demand nodes and facility centers is considered as
the sample region. Different methods are evaluated on this region.
Results of implementation are compared quantitatively. In conclusion,
application of each method is examined and presented based on the
problem’s goal and purpose.
Copyright © 2009 Praise Worthy Prize S.r.l. -
All rights reserved
Keywords:
Location problem, Genetic Algorithm (GA), Optimization, Continuous
space.
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