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Journal receives papers in continuous flow and we will
consider articles from a wide range of Computing disciplines including hardware
engineering, software engineering, information systems and information
technology,
encompassing the most basic research to the most innovative and radical ideas. Please
submit your papers electronically to our submission system at
http://IJRIC.org/submit_paper.php in an MSWord, Pdf or compatible
format so that they may be evaluated for publication in the upcoming issue. This
journal uses a blinded review process; please remember to include all your
personal identifiable information in the manuscript before submitting it for
review, we will edit the necessary information at our side. Submissions to IJRIC
should be full research / review papers (properly indicated below main title in
case of review paper). | | |
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International Journal of Reviews in Computing Volume
4
October 2010 |
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Title |
A REVERSE TRANSMISSION APPROACH
FOR MULTI-HOP ROUTING IN WIRELESS SENSOR NETWORK |
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Authors |
Nilayam K Kamila, Prashanta K
Patra, Prbodha K Pradhan, Prasant K Pattnaik |
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Abstract |
Sensor network nodes are spreaded
over specific area with limited battery energy, low computational
capacity and restricted communication bandwidth. In Sensor networks, the
cluster-based routing algorithms are used to reduce the energy
consumption of nodes and prolong the network lifetime [4, 5, 6, 7]. In
most cluster-based algorithms, a predefined number of clusters or
cluster heads is required. In some cases the nodes’ density and
distribution significantly affect clustering techniques applied in
wireless sensor networks. In this work , we propose a routing approach
namely as Reverse Transmission Approach (RTRA) where we have established
a reverse transmission for some intermediate node which are located in
the path of the cluster head to base station. Again, the mathematical
analysis gives a suitable threshold value for intermediate nodes. The
proposed scheme is compared with existing related works through the
simulation studies |
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Keywords |
Sensor Networks, Multi-Hop,
Hierarchical Routing |
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Source |
International
Journal of Reviews in Computing
Vol. 4 |
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Full Text |
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Title |
THE CONTRIBUTIONS OF TQM AND SIX
SIGMA IN THE ORGANIZATIONS TO ACHIEVE THE SUCCESS IN TERMS OF QUALITY
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Authors |
Rallabandi Srinivasu, G.
Satyanarayana Reddy, Vudu Sreenivasaro, Srikanth Reddy Rikkaula |
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Abstract |
The objective of this paper is to
contribute a clear understanding of TQM & SIX SIGMA are helpful to the
organizations to achieve the success in terms of quality. This paper
contains the approaches of SIX SIGMA are DMAIC & DMADV. The main aim of
this paper is to look at TQM & SIX SIGMA history, definition, importance
and the contribution in an Industry and explains the strengths,
differences and weaknesses/deficiencies of TQM & SIX SIGMA and also
discussed their distinctive characteristics and similarities. |
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Keywords |
Total Quality Management (TQM),
TQM implementation, SIX SIGMA, DMAIC , DMADV and Quality |
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Source |
International
Journal of Reviews in Computing
Vol. 4 |
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Full Text |
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Title |
Ontology Modeling Profile, an
Extension for the Ontology UML Profile |
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Authors |
Wafaa AlAkwaa, Akram Salah |
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Abstract |
This paper presents an extension
to the already created Profile for representing Ontology using UML "the
Ontology UML Profile (OUP)". We preferred rename it (Ontology Modeling
Profile) due to the deep modification on representing the ontology
Concept Statement and adding stereotypes to the concept Individuals
slots. This profile, together with Ontology Definition Metamodel (ODM),
enables the usage of Model Driven Architecture (MDA) standards in
ontological engineering. In our profile, we have concentrated in
developing individuals in a practical manner. Slots are key concept by
which individuals are linked to their properties. |
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Keywords |
Unified Modeling Language (UML),
Model Driven Architecture, Ontology (MDA), Semantic Web, Ontology
Definition Metamode l (ODM), Web Ontology Language (OWL) |
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Source |
International
Journal of Reviews in Computing
Vol. 4 |
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Full Text |
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Title |
A SURVEY ON ARTIFICIAL
INTELLIGENCE BASED BRAIN PATHOLOGY IDENTIFICATION TECHNIQUES IN MAGNETIC
RESONANCE IMAGES
(Survey Paper) |
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Authors |
D. Jude Hemanth, C. Kezi Selva
Vijila and J. Anitha |
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Abstract |
Brain tumor pathologies are the
most common fatality in the current scenario of health care society.
Hence, accurate detection of the type of the brain abnormality is highly
essential for treatment planning which can minimize the fatal results.
Accurate results can be obtained only through computer aided automated
systems. Besides being accurate, these techniques must converge quickly
in order to apply them for real time applications. Even though several
automated methods are available with these desirable performance
measures, there is no clear differentiation between these techniques
about the suitability for various applications. Many reports claim its
work to be superior but a complete comparative analysis is lacking in
these works. In this survey paper, an extensive comparative analysis is
performed to illustrate the merits and demerits of various available
techniques. This work also explores the applicability of the techniques
in brain disorder diagnosis in MR images. The main objective of this
work is to highlight the position of various automated techniques which
can indirectly aid in developing novel techniques for solving the health
care problem of the current society |
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Keywords |
Accuracy, Brain tumor images,
Convergence, Diagnosis techniques, Magnetic Resonance and Survey |
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Source |
International
Journal of Reviews in Computing
Vol. 4 |
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Full Text |
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Title |
Performance Evaluation of
Partition Based Clustering Algorithms in Grid Environment using Design
of Experiments |
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Authors |
Devi Prasad Bhukya, S Ramachandram,
Reeta Sony A L |
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Abstract |
Clustering is one of the most
important research areas in the field of data mining. Clustering means
creating groups of objects based on their features in such a way that
the objects belonging to the same groups are similar and those belonging
to different groups are dissimilar. Here K Means, K Medoids are basic
partition based clustering algorithms. One of the disadvantages of using
these algorithms its unsuitability for larger data sets. To solve this
problem Grid environment has been selected. The main objective of this
paper is to implement the partition based clustering algorithms in the
Grid environment on Grid Gain middleware and analyze their performance
for large datasets with Design of Experiment (DOE) framework. K-means
cluster data faster than K-medoids when tested with large data sets and
the results are found to be satisfactory. |
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Keywords |
Grid Gain, K-Means, K-Medoids, DOE |
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Source |
International
Journal of Reviews in Computing
Vol. 4 |
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Full Text |
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Title |
Moonlight Applications Test
Automation |
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Authors |
Appasami.G, Suresh Joseph. K |
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Abstract |
Now-a-days web applications are
developed by new technologies like Moonlight, Silverlight, JAVAFX, FLEX,
etc. Silverlight is Microsoft's cross platform runtime and development
technology for running Web-based multimedia applications in windows
platform. Moonlight is an open-source implementation of the Silverlight
development platform for Linux and other Unix/X11-based operating
systems. It is a new technology in .Net 4.0 to develop rich interactive
and attractive platform independent web applications. User Interface
Test Automation is very essential for Software industries to reduce test
time, cost and man power. Moonlight is new .NET technology to develop
rich interactive Internet applications with the collaboration of Novel
Corporation. Testing these kinds of applications are not so easy to
test, especially the User interface test automation is very difficult.
Software test automation has the capability to decrease the overall cost
of testing and improve software quality, but most testing organizations
have not been able to achieve the full potential of test automation.
Many groups that implement test automation programs run into a number of
common pitfalls. These problems can lead to test automation plans being
completely scrapped, with the tools purchased for test automation
becoming expensive. Often teams continue their automation effort,
burdened with huge costs in maintaining large suites of automated test
scripts. This paper will first discuss some of the key benefits of
software test automation, and then examine the most common techniques
used to implement software test automation of Moonlight Applications
Test Automation. It will then discuss test automation and their
potential. Finally, it will do test automation. |
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Keywords |
User Interface, Test Automation,
Moonlight, Mono Project |
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Source |
International
Journal of Reviews in Computing
Vol. 4 |
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Full Text |
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Title |
STRENGTHS OF A COLORED GRAPHICAL
PASSWORD SCHEME |
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Authors |
Michael Kimwele, Waweru Mwangi,
Srephen Kimani |
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Abstract |
Alphanumeric passwords are the
most commonly used way of authenticating users in computer systems. One
of the disadvantages of alphanumeric passwords is that they are hard to
remember. In this paper, the strengths of graphical passwords as an
alternative to text-based passwords are discussed. Color combination as
a memorable feature of graphical password is proposed. By proposing the
use of color in graphical passwords, we seek to enhance graphical
passwords. Further, a colored graphical password scheme is suggested
which is inexpensive compared to biometrics and addresses some of the
challenges of text-based passwords. |
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Keywords |
Graphical Passwords, Color, Image,
Authentication, Security |
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Source |
International
Journal of Reviews in Computing
Vol. 4 |
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Full Text |
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