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Submit Paper / Call for Papers
Journal receives papers in continuous flow and we will consider articles
from a wide range of Information Technology disciplines encompassing the most
basic research to the most innovative technologies. Please submit your papers
electronically to our submission system at http://jatit.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 JATIT should be full research / review
papers (properly indicated below main title).
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Journal of Theoretical and Applied Information Technology
October 2010 | Vol. 20. No.2 |
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Paper ID: |
1363-JATIT |
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Title: |
ON
THE RECOGNITION OF TIFINAGHE SCRIPTS |
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Author: |
R.
El YACHI, K. MORO, M. FAKIR, B. BOUIKHALENE |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
In this work, we present a Tifinaghe
scripts recognition system which contains three main parts: pre-processing,
features extraction and recognition. In the pre processing process the scanned
image document is midline skew corrected then segmented into lines using
vertical histogram, lines into words, and words into character using horizontal
histogram. In the features extraction process, invariant moments and Walsh
coefficients are computed. Finally, the dynamic programming is adopted in the
recognition part. Experimental results showed that the recognition method using
invariant moments give better results compared to the method based on Walsh
transform in terms of recognition rate, error rate and computing time. |
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Keywords |
Tifinaghe characters; Baseline skew
correction; Segmentation; Walsh transform; Invariant moments; Hough transform;
Dynamic programming; Recognition |
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Paper ID: |
1474 -JATIT |
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Title: |
OPTIMAL
DUAL SIMILARITY NOISE-FREE CLUSTERS USING DYNAMIC MINIMUM SPANNING TREE
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Author: |
S. JOHN PETER |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
Clustering is a process of
discovering groups of objects such that the objects of the same group are
similar, and objects belonging to different groups are dissimilar. A number of
clustering algorithms exist that can solve the problem of clustering, but most
of them are very sensitive to their input parameters. Minimum Spanning Tree
clustering algorithm is capable of detecting clusters with irregular boundaries.
Detecting outlier in database (as unusual objects) is a big desire. In data
mining detection of anomalous pattern in data is more interesting than detecting
inliers. In this paper we propose a Minimum Spanning Tree based clustering
algorithm for noise-free or pure clusters. The algorithm constructs hierarchy
from top to bottom. At each hierarchical level, it optimizes the number of
cluster, from which the proper hierarchical structure of underlying dataset can
be found. The algorithm uses a new cluster validation criterion based on the
geometric property of data partition of the data set in order to find the proper
number of clusters at each level. The algorithm works in two phases. The first
phase of the algorithm produces subtrees(noise-free clusters). The second phase
converts the subtrees into dendrogram. The key feature of our algorithm is it
finds noise-free/error-free clusters for a given dataset without using any input
parameters. The key feature of the algorithm is it uses both divisive and
agglomerative approaches to find optimal Dual similarity noise-free clusters. |
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Keywords |
Center, Clustering, Cluster
validity, Cluster Separation Dendrogram, Euclidean minimum spanning tree,
Eccentricity, Hierarchical clustering, Outliers, Subtree |
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Paper ID: |
1479-JATIT |
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Title: |
A
JAVA-BASED TOOL TO ANALYZE THE FUNCTIONAL PROTEIN SEQUENCES OF GENES CAUSING
ALZHEIMER’S DISEASE |
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Author: |
KIRAN KUMAR REDDI, T.K.RAMA KRISHNA RAO, G.NAGESWARA RAO |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
Alzheimer’s disease is a
progressive neurodegenerative disorder characterized by deposition of amyloid
plaques composed of aggregated amyloid beta plaques, and neurofibrillary tangles
composed of hyperphosphorylated tau that leads to synaptic defects resulting in
neuritic dystrophy and neuronal death. Diseases like Alzheimer’s are believed to
result from the accumulation of mis-folded proteins. Most folded proteins have a
hydrophobic core in which side chain packing stabilizes the folded state, and
charged or polar side chains on the solvent-exposed surface where they interact
with surrounding water molecules. In the present study, we extracted huge
amounts of data from various biological databases available online. It is found
that there are 74 genes that may cause Alzheimer’s disease .We evaluated the
role of 74proteins that are likely to be involved in Alzheimer’s disease by
employing multiple sequence alignment using ClustalW tool and constructed a
Phylogenetic tree using functional protein sequences extracted from NCBI. The
study also analyzed the physical properties of amino acids of functional
proteins using the computational tool developed in java. These in silico study
results are useful for new therapeutic interventions particularly in the field
of biomarker discovery. |
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Keywords |
Alzheimer’s Disease, Phylogenetic
Tree, Amino Acids, Physical Properties, Java Tool. |
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Paper ID: |
1481-JATIT |
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Title: |
APPLYING
DATA MINING METHODS TO PREDICT DEFECTS ON STEEL SURFACE |
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Author: |
SAYED MEHRAN SHARAFI, HAMID REZA ESMAEILY |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
In the steel industry, especially
alloy steel, creating different defected product can impose a high cost for
steel producers. One common defect in producing low carbon steel grades is Pits
& Blister defect. To eliminate this drawback, we need to grind the surface of
the product. In some cases, the severity of defects may lead to scrap part of
the product. Grinding cause waste of time and cost of production will be
increased. Incidence of defects is related to several factors including material
analysis and production processes. In this study we want to create a model to
predict this fault with data mining methods including decision tree, neural
network and association rules. We will compare the efficiency and accuracy of
these models and select the appropriate model.
In this study, methodology used to perform data mining is CRISP (Cross Industry
Standard Process for Data Mining). To create a decision tree and neural network
respectively, entropy method and 24 hidden nodes are used. And to discover
association rules, four members itemset is used. And applying data mining on
data received from Iran Alloy Steel Company, the model created using the
decision tree, has higher accuracy. |
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Keywords |
Data mining, neural network,
Decision tree, Association rules, Alloy steel, Pits & Blister defect |
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Text |
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Paper ID: |
1481-JATIT |
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Title: |
DEVELOPMENT
OF A SOFT SYSTEM MODEL TO IDENTIFY INFORMATION AND COMMUNICATIONS TECHNOLOGY
ISSUES AND OBSTACLES IN GOVERNMENT ORGANIZATIONS IN SAUDI ARABIA |
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Author: |
SALEH AL-ZHRANI |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
Soft system methodology (SSM) has
attracted great attention in industry and in the academic world. The central
theme of this research is to demonstrate the application of SSM to issues and
obstacles facing Saudi Arabian government organizations using information and
computer technology (ICT). A number of techniques and approaches were used in
achieving these objectives including quantitative and qualitative techniques of
data analysis. An empirical study indicates that most subject organizations
suffer from people issues rather than technical issues. By applying SSM, the
study identified the problems and obstacles facing Saudi government
organizations. A conceptual model has been proposed. This is the first attempt
using SSM to tackle IT problems in Saudi Arabia. |
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Keywords |
Checkland’s Soft Systems Methodology
(SSM). Saudi Arabia. Government organizations. Information and communication
technology (ICT) |
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Text |
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Paper ID: |
1482-JATIT |
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Title: |
ULTRA
WIDE BAND LIQUID CRYSTAL POLYMER MICROSTRIP ELLIPTICAL PATCH ANTENNA |
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Author: |
B.T.P.Madhav, Prof. VGKM Pisipati, Prof. Habibulla Khan, VGNS Prasad, Prof. KSN
Murty |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
A microstrip elliptical patch antenna was
designed on liquid crystal polymer substrate for ultra wide band wireless
communications. The proposed ultra wide band antenna simply consist of an
elliptical patch with coaxial feeding and liquid crystal polymer substrate of
3.16 permittivity and 0.004 dielectric loss tangent placed on the ground plane.
At operating frequencies of 4.5, 6, 8 GHz, the proposed UWB elliptical patch
antenna was simulated which covers the range of UWB (3.1 to 10.6 GHZ). This
study includes the presentation of return loss, input impedance, 3D-gain,
2D-gain, radiation patterns, E-field, H-field distributions and current
distribution. |
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Keywords |
Ultra Wide Band, Liquid Crystal
Polymer, Elliptical Patch |
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Text |
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Paper ID: |
1437-JATIT |
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Title: |
CONTROL
MOTOR USING STATE SPACE DISCRETE TIME OPTIMAL TRACKING CONTROLLER |
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Author: |
MOHAMED SALAH MÉRIDJET, N. DEBBACHE |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
Brushless Direct Current (BLDC) motors are
widely used for high performance control applications. Conventional PID
controller only provides satisfactory performance for set-point regulation. In
this paper, a discrete time optimal tracking control of BLDC motor is presented.
Modeling of the BLDC motor is expressed in state equation. A discrete time
full-order state observer is designed to observe states of BLDC motor. Feedback
gain matrix of the observer is obtained by pole assignment method using
Ackermann formulation with observability matrix. The state feedback variables
are given by the state observer. A discrete time LQ optimal tracking control of
the BLDC motor system is constructed to track the velocity of the BLDC motor to
the reference based on the designed observer. Numerical results are shown to
prove that the performance of the proposed controller. |
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Keywords |
Sate Space, Optimal Control,
Discrete Time System, Tracking Control, modeling |
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Text |
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Paper ID: |
1442-JATIT |
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Title: |
ALLOCATION
SCHEME FOR MULTI-LAYER CELLULAR NETWORK WITH INTEGRATED TRAFFIC |
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Author: |
MADHU JAIN, NIDHI AGARWAL |
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Source: |
Journal of Theoretical and Applied
Information Technology
Vol 20. No. 2 -- 2010 |
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Abstract |
Next generation wireless technology
will support mobility for multimedia applications. In this investigation, we
develop analytical models for predicting the blocking probabilities in multi
layer cellular network providing integrated services to a population of mobile
users. The analytical models are based on continuous time multi-dimensional
birth-death approach having double layer cellular architecture. There is a
provision of reserved channels to give the priority to handoff calls. By using
releasing function (RF), the reserved channels may also be allocated to new
calls in case when reserved channels are free. The channel assignment technique
optimizes the quality of service (QoS) of low speed moving terminals (LSMT) and
high speed moving terminals (HSMT). The lower layer of the proposed architecture
is based on microcellular architecture, for absorbing the traffic loads of low
speed moving terminals (LSMT). The higher layer is based on a macro-cell
umbrella solution, for absorbing the traffic load of HSMT in a congested urban
area. The provision of subrating of the guard channels (GC) for handoff calls of
LSMT in each microcell has been made.
We analyze the performance of channel assignment scheme based on new call
bounding, cutoff priority and subrating. To validate the scheme suggested, we
provide numerical results. The sensitivity analysis has been carried out to
examine the effect of system descriptors on various measures of performance,
namely blocking probabilities, carried load, etc. |
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Keywords |
Cellular network, Multi-layer
architecture, Channel allocation, Releasing function, Cutoff priority, Blocking
probability |
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