Title: |
Numerical study on ecological
commensalism between two species with harvested commensal |
Author (s): |
N. Seshagiri Rao, K. V. L. N. Acharyulu and K. Kalyani |
Abstract: |
The present paper deals with
the numerical studyon the ecological model comprising the
commensal species and the host species with a constant
harvesting of the commensal species. Further, both the
species are considered with the limited resources. The
corresponding trajectories of the commensal species (growth,
balanced and mortal commensal species) and the host species
have been illustrated for wide range of the values of the
parameters in the model. The dominance reversal time of the
host species over the commensal species or vice versa and
the sustainability of the commensalism interaction between
the species is also discussed. |
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Title: |
Implementation of five level
inverter considering PV system using MPPT technique |
Author (s): |
G. Balasundaram and S. Arumugam |
Abstract: |
This paper exposes a single
phase five level inverter for PV scheme with a new pulse
width modulation control scheme. The inverter capability is
used to five steps of producing voltages (Vdc/2, Vdc, 0, -Vdc/2,-Vdc)
from the input voltage. Maximum Power Point Tracking (MPPT)
was implemented in Photovoltaic’s system along Fuzzy
controller. The excepted scheme was proved over simulation
along with carryout in a model. |
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Title: |
Capable task
deferment technique for grid networking |
Author (s): |
R.
Natchadalingam and K. Somasundaram |
Abstract: |
Grid networking is an
aggregation of geographically dispersed computing, storage,
and network resources, coordinated to deliver improved
performance, higher quality of service, better utilization,
and easier access to data. It enables virtual, collaborative
organizations, sharing applications and data in an open,
heterogeneous environment. Scheduling is the process that
selects which job in the queue should be considered next.
Grid Scheduling is the process of making scheduling
decisions involving allocating jobs to resources over
multiple administrative domains. The goal of scheduling is
to minimize the make-span by finding an optimal solution. In
the present Grid Networking environment, the scheduling
approaches. In a Grid Networking environment there are many
more constraints that would make the job scheduling problem
more complicated. The issues in the existing system are the
dynamic environment of the Wireless Grid makes necessary the
use of sophisticated mechanisms for resource discovery and
selection. Task monitoring and check pointing is difficult
in dynamic environments. In this paper we have proposed a
Task Deferment Algorithm, using activates
strategy system to effectively allocate the resources to
the tasks by performing sort-out. If a task does not
continue its execution due to disconnectivity of resources,
the resources for that task will be provided immediately
next from the task which has finished its execution. |
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|
Title: |
Barriers faces telemedicine
implementation in the developing countries: Toward building Iraqi telemedicine framework |
Author (s): |
Mohd
Khanapi Abd Ghani, Mustafa Musa Jaber and Nanna Suryana Herman |
Abstract: |
The Iraqi healthcare services
are tussling get possession of lost momentum. Many
professional physicians and nurses left Iraq because the
current situation there. In spite of the plans of calling
back the skilled health workforce but they still afraid of
disadvantage of their return. Hence, technology plays a
central role to take advantage of their profession through
the use of telemedicine. Thus it is the need to study the
factors that effects the implementation of telemedicine that
covers network services, policy makers and patient
understanding. This paper shows the issues that faces the
implementation of telemedicine and analyze the literature of
previous telemedicine in Middle East countries to find out
the essential factors toward building Iraqi telemedicine
framework. |
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|
Title: |
Measurement of tropospheric
scintillation using KU band satellite beacon data in tropical
region |
Author (s): |
Govardhani Immadi, Sarat K Kotamraju, M. Venkata Narayana,
Habibulla Khan, Sreemadhuri A., K. Sravya Chowdary and P.
Vineela |
Abstract: |
The down Link signal
traveling from satellite to the earth surface need to pass
through the layers of the atmosphere situated at an altitude
above the earth surface. While passing through these layers
the radio wave undergoes some changes in its characteristics. These fluctuations are observed in the troposphere (0 to 12
km containing nitrogen (78 percent) and oxygen (21 percent),
with the remaining 1- percent consisting of argon, (.9
percent) and traces of hydrogen ozone (a form of oxygen)),
very close to earth surface, so they are called as tropospheric scintillations. There are two types of
scintillations called amplitude and phase scintillations. In
this paper we are concentrating on estimation of
trosposheric amplitude scintillation. While considering
lower frequencies (<3GHz) we take the effects of ionosphere
into consideration. For higher order
frequencies(>10GHz)ionosphere acts as a transparent layer,
so only tropospheric scintallations are taken into
consideration.Tropospheric amplitude scintillation can be
defined as rapid fluctuations in the amplitude of the radio
wave caused by changes of refractive index at the altitude.
It is caused by humidity and temperature of the atmosphere.
The effects of tropospheric scintillation are seasonal and
vary from day to day with local climate. In this paper we
are estimating the tropospheric amplitude scintillation for
ku-band down link signals using
RECOMMENDATION ITU-R P.618-8 (Propagation
data and prediction methods required for the design of
Earth-space telecommunication systems). |
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|
Title: |
Performance evaluation of MMS
routing for campus monitoring wireless sensor network |
Author (s): |
M. S.
Godwin Premi |
Abstract: |
In this paper, MMS (Multiple
Mobile Sinks) routing algorithm which handles the sink node
mobility is proposed in order to handle the overhead
mobility, with maximum lifetime and energy efficiency,
reduced end to end delay amidst topology changes for assured
security for monitoring campus and environment control
applications. In this MMS routing, multiple mobile sinks are
used to collect the data from the wireless sensor network
which is deployed around entire campus like university. The
mobility of sinks makes the transmission of data from source
node to sink node easier by reducing the number of
intermediate router nodes. For each mobile sink, a
particular region like department block is allotted and the
performance of MMS routing with respect to region of
interest and the total area of interest are studied. The
impact of different mobility models are analyzed with MMS
routing and found that the wind mobility model provides
better performance. To enhance the performance of MMS
routing, security is incorporated as a part of routing to
avoid unauthorized data. This is achieved by using SSCA
algorithm. The proposed algorithm is simulated using Matlab
and Omnet++. Simulation results prove that MMS routing is
well suited for monitoring class rooms or blocks as well as
environment control applications. |
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|
Title: |
Performance evaluation of BPN
based Viterbi decoder for decoding 2-Bit and 3-Bit errors |
Author (s): |
V.
Balamurugan and N. M. Nandhitha |
Abstract: |
In communication, convolution
codes are extensively used for reliable data communication
at receiver’s end the coded messages are decoded with
Viterbi Decoders. However when the channel is noisy decoding
becomes computationally complex even with enhanced Viterbi
Decoder, hence it necessitates an efficient computationally
less complex decoders. In this paper Viterbi Decoders are
realized in BPN, performance of the decoder for 2-bit errors
and 3-bit errors is studied in terms of accuracy. It is
found that Back Propagation Network (BPN) based Viterbi
Decoder functions well for both 2-bit and 3-bit errors even
after shrinking the hidden layer architecture. |
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|
Title: |
Deformation analysis of rigid
pavement with sub grade of dredged sediment stabilized |
Author (s): |
Hamzah
Yusuf, Akhmad Azis and Sugiarto Badaruddin |
Abstract: |
This study aims to determine
the elastic deformation of rigid pavement using dredging
sediment sub grade stabilized with cement. This research was
conducted in the laboratory and in the field using dredging
sediment samples from the Intake of Bili - Bili Dam,
sediment samples were taken from twelve dredging points with
respective distance from the dam’s weir about 100-200 m. The
test and analysis of sediment characteristics of cement
stabilization adopted standard methods, namely, ASTM. While
the test and analysis of deformation models adopted the
loading test method. The result of previous studies showed
that dredging sediment of Bili - Bili Dam is classified as a
fine-grained soil (silt - clay), include in the category of
moderate to poor soil. By adding different variations of
cement portion (cement stabilization), an increase was
showed in the strength capacity/ bearing capacity and meet
the condition as a road sub grade as seen from the CBR
(capacity bearing ratio) field tests with the addition of
cement portion of 5%, 10%, and 20%. Based on those results,
loading test was conducted for the rigid pavement using
dredging sediment sub grade with cement stabilization. From
the test results, elastic deformation was obtained with the
variation centric loading up to 9 tons. Furthermore, numeric
validation was employed, where its results are in a good
agreement with the results of the loading test. |
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Title: |
Study of
influence of process parameters on surface roughness of AMMCs in
wire electrical discharge machine |
Author (s): |
B. Naga Raju, K. Ramji, P. SrinivasaRao and VSRK Prasad |
Abstract: |
The usage of composite
materials has been increasing globally in all manufacturing
industries. Non-Traditional machining methods like Wire
Electrical Discharge Machining (WEDM) plays important role
in precision manufacturing. In this study, an attempt is
made to study the influence of process parameters like
pulse-on time, pulse-off time and peak current on surface
roughness of Aluminum Metal Matrix Composites (AMMCs). The
composite material containing aluminum alloy as matrix, 5 wt
% silicon carbide as reinforcement is produced by stir
casting technique. Experiments are conducted based on design
of experiments. The results show that the machined Surface
quality improves with increase in pulse-off time, while the
pulse-on time produces poor surface quality. Higher peak
current leads an inferior surface finish. The pulse duration
has also an important and overbearing effect on surface
roughness. Finally, Prediction of Surface Roughness (Ra) in
terms of the process parameters using Artificial Neural
Networks (ANN) is performed and the predicted values were
compared with experimental data by varying the number of
neurons in the intermediate hidden layers (i.e. 5, 6, 7
neurons). Based on the analysis carried out, it was observed
that the neural network structure with 3 layers and 7
neurons was best in predicting the surface roughness. |
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Title: |
An improved cross-layer design
optimization for TCP performance in wireless networks |
Author (s): |
Manikandan and Bala Subadra |
Abstract: |
In this paper, we intend to
optimize the cross-layer design in wireless networks to
avoid the congestions and packet losses between the network
nodes. The conventional TCP used in wired network cannot be
adapted to wireless networks as it is. By considering this
fact a novel congestion control algorithm is developed with
the modified acknowledgement aggregating model to avoid
packet losses and for congestion control in the network. The
major reason for packet losses is due to high bit error rate
in the networks. Instead of invoking a congestion control
mechanism after a packet loss, the proposed cross layer
mechanism uses the cross layer feedback from the above and
below layers, which improves the TCP performance. TCP Reno-2
model has been used for the simulation purpose and the
performance of the proposed system is evaluated in terms of
end-to-end delay and end-to-end throughput of the system. |
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|
Title: |
Archimedean
spiral antenna on moveable ground plane for UWB applications |
Author (s): |
Abdi Rahman M. S., Fauziahanim C.
S. and Waddah A. |
Abstract: |
In this paper we investigate
the performance of a two-arm Archimedean spiral antenna over
a moveable conducting ground plane (GP) for UWB
applications. The performance of the antenna in terms of
return loss, gain, axial ratio and radiation pattern are
analyzed when the electrical separation between the spiral
arm and ground plane is maintained at 0.25 λ over the
frequency range 3.1 – 10.6 GHz. The results demonstrate that
as physical separation of the GP reduces, the overall
antenna’s performance deteriorates. The results show that
gain of the spiral antenna can be increased more than 9 dB
with -10 dB operating bandwidth of more than 100%. The
simulated and measured results have shown good agreements. |
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|
Title: |
Performance of ultra-wideband
wearable antenna under severe environmental conditions and
specific absorption rate (SAR) study at near distances |
Author (s): |
Waddah
A. M. A., Khairun N. R. and Abdirahman M. S. |
Abstract: |
Two ultra-wideband (UWB)
planar monopole antennas have been reported in this paper.
The antennas have been developed for wearable application.
Worn-systems require flexibility and tolerance against
external effects. The substrates of the proposed antennas
have been made of jeans while radiators were made of copper
tapes. Simulated and measured performances of the antennas
in terms of return loss and radiation patterns have been
discussed in this work. Recorded results have shown that the
operating frequency ranges from 3.04 GHz to 10.3 GHz and
from 3.04 GHz to 11.3 GHz with respect to -10 dB for the
first and second antennas respectively. The antennas have
been tested under severe conditions such as operating in
water and aggregates and results have been presented and
discussed. Moreover, an extended study on the safety
concerns of the antennas by means of specific absorption
rate (SAR) has been included in this work. The approximated
SAR has been found to be within the safety guidelines set by
Federal Communications Commission (FCC). |
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|
Title: |
GA based optimization of the
preliminary design of an extremely high pressure centrifugal
compressor for a small common rail diesel engine |
Author (s): |
Luca
Piancastelli and Leonardo Frizziero |
Abstract: |
A method to perform the
preliminary design of an impeller for an extremely high
pressure ratio centrifugal compressor is introduced in this
paper. The equations used are fully detailed and a design
procedure is introduced. This design procedure required a GA
(Genetic Algorithm) optimization to obtain an acceptable
optimum result. It is demonstrated that a 8:1 compressor can
be designed for a mass flow of 500 kg/h. This GA optimized
initial design should be then be validated through CFD
(Computational Fluid Dynamics) simulation and then tested on
a test bench. However, the initial design phase is critical,
since a CAD model of the impeller is needed to start the
simulation process. In our case this initial phase couldn’t
be inspired by existing design, since none were found.
Aircraft and Helicopter engines do not have the problem of
turbolag, since fan/propeller inertia eliminates this
problem. On the contrary these engines necessitate of
performance at altitudes (flight levels) much higher than
automotive applications. Small turbochargers with high
compressor ratio are not available on the market, so a
special design is needed. |
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|
Title: |
Pulse oximetry module to implement
in team monitor of vital signs |
Author (s): |
A. Soto
Otalora, L. A. Guzman Trujilloy and A. Diaz Diaz |
Abstract: |
This article presents
meticulous description of a pulse oximetry module. This
module allows to measure two variables: the saturation of
oxygen in the hemoglobin of the blood and heart rate. The
measurement is made through a sensor which contains two LEDs
that emit red and infrared light which pass through the
patient's finger to a photodetector, which measures the
absorbance of each wavelength caused by arterial blood. The
microcontroller calculates the percentage of oxygen
saturation by the ratio of the absorbance of the red and
infrared light. The pulse oximeterplethysmographic sensor
wave whose period corresponds to the heartbeat is also
obtained. These two facts together with the other variables
are shown in a GLCD screen 240x128 pixels. |
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|
Title: |
Model of the controller for output
stream concentration in the mixer of a steam unit |
Author (s): |
Kobersy
Iskandar S., Finaev Valery I., Zargarjan Jury A., Beloglazov
Denis A. and Shadrina Valentina V. |
Abstract: |
There is an actuality
validation for the development and research of hybrid
intelligent system synthesis methods in this paper. We
considered the model of the output stream concentration
control for lighting-up equipment of steam unit boiler. The
control of the electric motor of the mixer from the
lighting-up equipment is carried out by a hybrid controller
application. FUZZY LOGIC TOOLBOX was used for simulation.
The synthesis of the control model of the mixer output
stream has been done. A conventional control method and the
fuzzy control method were used for the system synthesis. We
used Mamdani algorithm to implement the fuzzy control model
of the mixer output stream concentration. There is a
description of the procedure of the fuzzy system model
integration in SIMULINK interactive system by means of the
graphic editor FIS in this paper. The results of this work
are meant for the experimental researches of intelligence
hybrid control system parameters. |
|
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|
Title: |
Effect of structural and doping
parameter variations on NQS delay, intrinsic gain and NF in
junctionless FETs |
Author (s): |
B.
Lakshmi and R. Srinivasan |
Abstract: |
This paper investigates the
effect of process variations on RF metrices, non-quasi
static (NQS) delay, intrinsic gain and noise figure (NF) in
30 nm gate length Junctionless FET by performing extensive
3D TCAD simulations. Sensitivity of NQS delay, intrinsic
gain and NF on different geometrical parameters and fin
doping are studied. The most significant parameters are
found to be gate length, fin width and fin doping. The
underlap and gate oxide thickness have a least impact over
these RF metrics. |
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|
Title: |
Text independent human voice
ranking system for audio search engines using wavelet features |
Author (s): |
A. Jose Albin and N. M. Nandhitha |
Abstract: |
Performance of conventional
text based audio search engines can be improved with feature
based search engines. In this paper, text independent audio
ranking system for audio engines with audio signal as query
is proposed. Discrete Wavelet Transform (DWT) is used for
feature extraction. Ranking is obtained using three
different distance metrics namely Euclidean distance,
Manhattan distance and Maximum distance. An efficient
ranking system is identified based on the performance of the
proposed technique in terms of accuracy of detection. |
|
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|
Title: |
A fast and efficient feature
selection algorithm for microarray gene expression and cancer
classification |
Author (s): |
M. Yasodha and P. Ponmuthuramalingam |
Abstract: |
Cancer research is one of the
most important research areas in the medical field. The most
vital process for gene is identification and classification
of cancer. The significance of the every gene is to be
initiated by the gene raking measurement. Gene expression
summary by microarray method has been efficiently use for
classification and analytical guess of cancer nodules. Gene
ranking technique which use mostly is T-Score. Genes are
collected from the dataset. Amount of feature selection
algorithm may form mistake for their ranked gene appearance.
To avoid this, proposed technique makes the improved
precision by producing a feature selection algorithm in gene
expression data investigation of model classifications. That
the planned technique choose the gene and divides the genes
into subset, from the features, gene ranks are chosen. The
Lymphoma and Leukemia dataset genes are utilized. The
proposed technique shows capable classification accuracy for
the whole test data sets. |
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|
Title: |
Computer aided detection of tumors
in mammograms using optimized support vector machines |
Author (s): |
Ramani
R. and N. Suthanthira Vanitha |
Abstract: |
Mammography is a low dose
x-ray procedure for the visualization of internal structure
of breast. It detects about 80–90% of the breast cancers
without any note of symptoms. A framework for classifying
mammograms as tumor and no tumor is presented in this paper.
Symlet wavelet and Singular Value Decomposition (SVD) are
used for feature extraction and reduction respectively.
Boosting algorithm is applied to predictive data mining to
generate a sequence of classifiers. A hybrid learning
Artificial Bee- AdaBoost (AB-AB algorithm) is proposed by
combining concept of Artificial Bee Colony (ABC) algorithm
and AdaBoost algorithm. The proposed hybrid algorithm boosts
the classification ability of Support Vector Machine (SVM). MIAS
dataset is used for evaluating the proposed
method. Experimental results are conducted for AdaBoost and
proposed optimization technique. |
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|
Title: |
Cluster image
processing technique for porosity estimation of carbonate rocks
|
Author (s): |
N. D. Nurgalieva and N.G.
Nurgalieva |
Abstract: |
It is known that the exact
value of rocks porosity is difficult to measure. In present
paper it is proposed using Cluster Image processing technique
which is considered as cost-effective alternative direct
method for estimating 2D-porosity from thin sections images
of carbonate rocks on base of core samples picked out from
carbonate reservoir rocks of Tournasian age in well,
situated on southern slope of South-Tatarian Arch
(Volga-Ural region, Russia). |
|
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|
Title: |
The investigation of suitability
of various line coding techniques for fiber-optic communication |
Author (s): |
Ashraf
Ahmad Adam and Habibu Hussaini |
Abstract: |
Fiber-optic communication is a
way of transmitting information from one place to another by
sending pulses of light through an optical fiber (usually
made of glass or plastic), and has formed an integral part
of the core network across many countries. Line coding deals
with various techniques involved in representing digital
signal transmission over an analog channel. This paper
investigates the performances of recent line coding
techniques when used across a fiber optic channel through
the representation of the digital signal to be transported
over the fiber channel and the effect of the drawbacks
involved, such as the inability of the long distance
communication owing to DC components when using this
technique. |
|
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|
Title: |
Bang of LER
and RDF in CMOS devices |
Author (s): |
Priya Stalin and C. Arun |
Abstract: |
Device level variability in
silicon double gate lateral Tunnel Field Effect Transistors
(TFETs) due to Line Edge Roughness (LER) and Random Dopant
Fluctuation (RDF) is researched for designs with a 20 nm
gate length and body width of 5 nm. Variability in TFET
threshold voltage (Vth), on state drive current (Ion), off
state leakage current (Ioff ) and sub threshold swing is
examined by means of statistical technology computer aided
design(CAD) simulations with forethought of body LER likely
1 nm in amplitude as well as RDF for body heights ranging
from 10 to 40 nm. The effects of body Line-Edge Roughness (LER)
and Random Dopant Fluctuations (RDF) are found to be alike
in magnitude and also comparable to those in identical
designed Fin FETs, with the uncommonness of Ion variability
which is roughly three times higher for TFETs. Arguments are
submitted to explain these research based on the operating
principle of TFETs be like to standard metal oxide. |
|
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|
Title: |
System
dynamics approach in managing complex biological resources |
Author (s): |
H. Husniah, N. Anggriani and A. K.
Supriatna |
Abstract: |
This paper discusses an
application of System Dynamics approach in managing
renewable biological resources. In essence, a management of
a biological resource can be regarded as a control to the
size of the associated population of the resource subject to
certain criteria. For example, in harvesting theory or in
fishery industries the management is directed to finding the
best size of the population giving rise to an optimal
harvest as the objective. In finding this best size one
should incorporate both the biological concern
(sustainability of the resources) and the economic concern
(maximum profit). In this regards, the objective can also be
stated in other words, i.e. we have to find the maximum
level of harvest such that the long-term sustainability of
the resource is warranted. Technically this level of
harvest often is called as the Maximum Sustainable Yield (MSY).
The paper is aimed to find the MSY for biological resources
having a complex ecosystem structure. We will assume that
the resource forms a metapopulation and in each
sub-population the intra-specific competition may vary
according to low, moderate and high level of competition.
The paper shows that a different harvesting strategy should
be applied depending on the level of competition status in
each sub-population. Keywords: Maximum sustainable yield,
Intraspecific competition, Metapopulation model. |
|
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|
Title: |
Performance
of al-fly ash metal matrix composites |
Author (s): |
R. Elangovan and M. M.
Ravikumar |
Abstract: |
Aluminium fly ash metal matrix
composites (MMCs) find important applications in aerospace
and automobiles where specific stiffness is important. Low
cost fly ash and silicon carbide reinforcement are widely
used in aluminium metal and matrix composite due to its low
density, high young modulus and strength apart from good
mechanical and chemical compatibility & thermal stability.
However the MMCs often suffer from low ductility, toughness
and fatigue crack growth resistance relative to the matrix
alloy. Such applications require materials offering light
weight, high strength to weight ratio with required
mechanical properties. The applications of Al-Flyash-SiC
MMCs are limited due to their poor machinability. In order
to overcome the machining difficulty, Hybrid Al-Flyash- SiC
composites are fabricated. The present study deals with the
machining characteristics of Hybrid Al-Flyash-SiC MMC of
different volume fractions (5%, & 10%) by weight. |
|
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|
Title: |
Durability of
binary and ternary concrete mixtures considering aging effect |
Author (s): |
Petr Konecny and Petr Lehner |
Abstract: |
The paper is focused on the
evaluation of the effect of concrete long-term maturity with
respect to chloride ion ingress related durability. The
binary and ternary high performance concrete mixtures are
selected for the analysis. The effect of concrete maturing
is investigated as well. The data set from complementary
laboratory investigation is used for the description of
resistance of concrete against ingress of chlorides. The
Finite Element-based numerical model is applied in order to
evaluate the effect of concrete type as well as the effect
of aging. The influence of extended concrete maturing on
the chloride ingress related durability is indicated. |
|
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|
Title: |
Multiple
crack detection in beams from the differences in curvature mode
shapes |
Author (s): |
K. Ravi Prakash Babu, B. Raghu
Kumar, K.L. Narayana and K. Mallikarjuna Rao |
Abstract: |
The presence of crack in a
structure tends to modify its modal parameters (natural
frequencies and mode shapes). The fact can be used inversely
to predict the crack parameters (crack depth and its
location) from measurement of the changes in the modal
parameters, once a functional relationship between them has
been established. The machine components like turbine blade
can be treated as a cantilever beam and a shaft as a simply
supported beam. Vibration analysis of cantilever beam and
simply supported beam can be extended successfully to
develop online crack detection methodology in turbine blades
and shafts. In the present work, finite element analysis of
a cantilever and simply supported beams for flexural
vibrations has been considered by including two transverse
open U-notches. The modal analysis has been carried out on
cantilever and simply supported beams with two U-notches and
observed the influence of one U-notch on the other for
natural frequencies and mode shapes. This has been done by
carrying out parametric studies using ANSYS software to
evaluate the natural frequencies and their corresponding
mode shapes for different notch parameters (depths and
locations) of the cantilever and simply supported beams FEM
model. Later, by using a central difference approximation,
curvature mode shapes were then calculated from the
displacement mode shapes. The location and depth
corresponding to any peak on this curve becomes a possible
notch location and depth. The identification procedure
presented in this study is believed to provide a useful tool
for detection of medium size crack in a cantilever and
simply supported beam applications. |
|
|
|
Title: |
Firefly
optimization based design for improving efficiency of induction
motor |
Author (s): |
P.S.
Prakash and P. Aravindhababu |
Abstract: |
This paper presents a Firefly
Optimization (FFO) based design methodology for improving
the efficiency of Induction Motor (IM). Firefly Algorithm,
inspired by social flashing behaviour of fireflies, is one
of the evolutionary computing models for solving multimodal
optimization problems. Among the number of design variables
of the IM, seven variables are identified as primary design
variables and the FFO based design methodology is tailored
to optimize the chosen primary variables with a view to
obtain the global best design. The developed methodology is
applied in solving two IM design problems and the results
are presented with a view of exhibiting the superiority of
the developed algorithm. |
|
|
|
Title: |
Measurement
of rain attenuation for Ku band satellite signal in tropical
environment using DAH, SAM models |
Author (s): |
Govardhani Immadi, Sarat K. Kotamraju, M. Venkata Narayana, K. Rajkamal, Habibulla
Khan, G. Viswanath and I. Avinash |
Abstract: |
Nowadays Telecommunications
and broadcasting services are in a rapid phase of expansion.
There is an increasing demand for the multimedia services
such as high-speed internet, on demand digital TV services,
video conferencing and tele-education etc., which need
high-speed data rates to cope with the demand whilst
guaranteeing a high quality of service[9][10]. The current
microwave frequency spectrum allocated for telecommunication
and broadcast services has become packed as the proposed
broadband systems requires higher bandwidths. However, the
attenuation due to atmospheric gases, clouds and rain
increases significantly, for the frequencies above Ku- band.
Though the attenuation is due to clouds and gases
frequently, it is rain that causes the largest attenuation.
In this paper three sophisticated models (ITU-R, DAH and
SAM) have been explained to calculate rain attenuation. ITU-R
model is the most widely accepted model by the international
propagation community and is used for estimating long term
statistics of rain attenuation at high frequencies in most
of the regions. DAH stands for Dissanayake-Allnutt-Haidara
Model. This is similar to and an extension of the ITU-R
model. This model is also used at high frequencies. SAM
stands for Simple Attenuation Model, which is suitable for
tropical climate and heavy rainfall regions to calculate
attenuation at point rainfall. |
|
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|
Title: |
Feature
selection based hybrid classification algorithm with embedded
zero tree wavelet |
Author (s): |
T. Karthikeyan and P.
Manikandaprabhu |
Abstract: |
With the development of the
remote sensing imaging systems and hyperspectral sensors,
the use of hyperspectral image is becoming more interesting.
Remote sensing classification is a difficult procedure and
requires thoughtfulness of lots of factors. The most
important process of image classification may comprise
resolve of a fitting classification system, selection of
training samples, image pre-processing, feature extraction
and accuracy assessment. Land cover information plays an
important role in sustainable management, development and
exploitation of resources, environmental protection,
scientific analysis, modeling, monitoring and planning.
Feature extraction recognizes and extracts remarkable
features for a challenging task in order to decrease the
complication of processing. Embedded Zero tree wavelet (EZW)
are used for feature extraction process. Multi-layer
perceptron (MLP) is recognized as the best ANN used in
classification. The main aim of feature selection is to
determine a minimal feature subset from a problem domain
while retaining a suitably high accuracy in representing the
original features. Particle Swarm Optimization (PSO) is a
population based optimization technique used for feature
selection. This paper focus on Land cover image
classification using EZW algorithm. Here, MLP is an
classifier and PSO used for Feature selection process. |
|
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|
Title: |
A novel decision tree approach for
option pricing using a clustering based learning algorithm
|
Author (s): |
JKR Sastry, KVNM Ramesh
and JVR Murthy |
Abstract: |
Decision tree analysis
involves forecasting future outcomes and assigning
probabilities to those events. One of the most basic
fundamental applications of decision tree analysis is for
the purpose of option pricing. The binomial tree would
factor in multiple paths that the underlying asset's price
can take as time progresses. The price of the option is
calculated using the discrete probabilities and their
associated pay-offs at maturity date of the option. In this
work we came up with an approach to build a binomial
decision tree that can be used to price European, American
and Bermudian options and a methodology to train the
decision tree using a clustering based learning algorithm
that minimizes the mean square error (MSE) between the
observed and predicted option prices. The training
methodology involves clustering the options based on
moneyness and fit a linear equation for each cluster to
calculate the confidence that needs to be used in building
the binomial decision tree for a particular strike price
within the cluster. It is observed that the MSE for option
price using the proposed model is less when compared to the
Black-Scholes model for the proposed learning algorithm. |
|
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|
Title: |
Clustering of
data sets by using fuzzy algorithm |
Author (s): |
M. Saravanan and
V. L. Jyothi |
Abstract: |
In this Technological era
Clustering is inevitable. For any function arrangement of
Data is a primary task. The collected Data has to be
grouped based on their features, Clustering is a method of
arranging same or similar attributes and that attributes
which are closer to each other are also grouped together.
Clustering is formed of three major process initializing
Data is the principle process, Data sets are selected
randomly and distance metrics are used. Iteration reduction
is a great challenge as for clustering is concerned. Fuzzy
c-means is applied with the intention of reducing
iteration. This Fuzzy c-means permits one data to function
in two sets. When iteration is reduced clustering will be
more effective. This paper deals with intervention of Fuzzy
c-means algorithm in a specified Data set which thereby is
to reduce iteration to make the function flaw less and
reliable. |
|
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|
Title: |
Structural
software testing: Hybrid algorithm for optimal test sequence
selection during regression testing |
Author (s): |
J. Albert Mayan and T. Ravi |
Abstract: |
Regression testing is one of
the testing methods, which is done to assure that the
changes made in fixes or other improvement changes does not
affect the previously developed functionality of the
software. Due to the reasons mentioned below, the regression
testing posses a significant place in the software testing.
Since it reduces the gaps of an application, modification
has to be created and tested, test the new modifications to
check that the modification did not change the any other
part of the application, test coverage must be enhanced
without conciliation of timelines. Thus, the test case
generation and test case selection is the import role in the
SUT (Software Under Test). More techniques are proposed to
overcome these issues however those techniques could not be
achieved complete code coverage with less time duration. In
this paper proposed a hybrid algorithm which is used to
resolve an optimal test case sequence selection as well as
new test case generation for regression testing. The
experimental results are shown our proposed approach is
achieved better results rather than other approaches. |
|
|
|
Title: |
A new diamond
– orthogonal search algorithm for fast block matching motion
estimation |
Author (s): |
Nurul ‘Atiqah Hamid, Abdul Majid
Darson, Nurulfajar Abdul Manap, Redzuan Abdul Manap and Mohd
Shakir Md Saat |
Abstract: |
In video processing, Block
Matching Algorithm or BMAs plays an important part as it is
widely used in most of well-known video codes due to its
simplicity and high compression efficiency. This paper
proposed a new algorithm, namely Diamond-Orthogonal Search
Algorithm (DOS) which employs large diamond search pattern
and orthogonal shape for its search steps. At initial step,
an additional step is added to predetermine static block to
further speed up the search process as it is beneficial to
small motion video sequence contents. Several established
algorithms, namely Full Search (FS), Three Step Search (TSS),
Hexagon –Diamond Search (HDS) and Orthogonal Diamond Search
(ODS) together with proposed algorithm are implemented using
MATLAB and their performance are being compared and analyzed
in terms of peark signal-to-noise ratio (PSNR) and number of
search points. Based on the simulation result, motion vector
can be found with fewer search points while maintaining
close video quality performance with other algorithms.
|
|
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|
Title: |
A high
efficient fuzzy logic controlled maximum power point tracking (FLMPPT)
in solar PV for brushless DC motor drives |
Author (s): |
Max Savio and Sasikumar Murugesan |
Abstract: |
In this paper, the solar panel
using fuzzy controlled maximum power point tracking is
analyzed for a brushless DC motor (BLDC). The BLDC is
powered by the solar panel through an integrated inverter
circuit to produce an AC signal. The solar panel power
obtained is tracked by an artificial intelligent technique
using fuzzy logic controller to extract the maximum power
from the panel. The maximum power tracking is obtained using
the DC to DC converter circuit. The DC to DC converter is
controlled to operate at buck and boost mode by controlling
the duty cycle. The DC power output is inverted using a
three phase inverter circuit to source the BLDC motor. The
proposed method improves the power transfer capability by
using intelligent controller which overcomes the power
losses during the transfer of energy. The proposed system is
mathematically modeled using MATLAB. A similar model is
experimented and the results are compared and analyzed. |
|
|
|
Title: |
Design of
ultra wideband small circular patch antenna for wireless
communication |
Author (s): |
Soufian Lakrit and Hassan Ammor |
Abstract: |
This paper presents the design
of an ultra-wideband Circular microstrip patch antenna for (UWB)
communications. In this structure there is a small Circular
patch consists of a partial ground plane and fed by a 50 Ω
microstrip line. The proposed antenna can achieves a wide
bandwidth from 2.72 GHz to 12.17 GHz with VSWR < 2 with
stable and bi-directional radiation pattern. The simulation
of this antenna has been performed by using Ansoft High
Frequency Structure Simulator (HFSS) and Computer Simulation
Technology- Microwave Studio (CST). |
|
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|
Title: |
A new secured
VoIP using verifiable secret sharing |
Author (s): |
R.
Shankar and E. Karthikeyan |
Abstract: |
Voice communication carried
out using the Internet Protocol (IP) for the transaction is
known as Voice over Internet Protocol (VoIP). Voice over
Internet Protocol is a technology for communicating using
“Internet protocol” instead of traditional analog systems.
Some VoIP services need only a regular phone connection,
while others allows making telephone calls using an Internet
connection instead. Some VoIP services may allows only to
call other people using the same service, but others may
allow to call any telephone number - including local, long
distance, wireless and international numbers. The fundamental
idea of secret sharing is the secret message is sending
through a single specified path in secured manner, so
secrete sharing is must for sharing VoIP messages. There are
several secret sharing’s used in VoIP, the most secured VoIP
is Verifiable Secret Sharing (VSS). Verifiable Secret
Sharing is an important primitive in distributed information
that allows a dealer to share a secret among huge number of
parties. Verifiable secret sharing is a way of giving
information to a set of processors such that a quorum of
processors is needed to access the information. VSS is a
fundamental tool and distributed computing. Experimental
result shows thus the proposed method of verifiable secret
sharing is much secured because it overcomes the problems
from packet loss, delay, security and quality. |
|
|
|
Title: |
Helmet
cooling system using phase change material for long drive |
Author (s): |
A. Chelliah,
B. Karthick, A. Vimalkodeeswaran and V. R. Hariram |
Abstract: |
The helmet is critical safety
equipment for a two wheeler drivers. The primary purpose of
helmet is to protect the head against injuries and to
safeguard the eye from sunlight and dust particles. It is
crucial that the motorcyclist is comfortable while wearing
the helmet. The inconvenient equipment may affect
concentration and create hazards that could lead to
accidents. The motorcyclist can be affected by temperature
which results in loss of concentration. This work focuses on
absorbing the heat produced inside the helmet. To achieve
this, a suitable Phase change material (PCM) Glauber Salt is
encapsulated inside an Aluminum Foil. In addition, holes are
created on the front and rear sides of the helmet. This
allows circulation of fresh air flow inside the helmet so
that the heat produced in the helmet is instantaneously
tapped out. Thus continuous cooling is achieved till it he
entire PCM fuses. Solid works is mechanical design software;
provide tools to help you implement a sophisticated standard
based architecture. Solid works software sketcher is used
model and flow simulation, heat is removed by providing the
phase change material. |
|
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|
Title: |
Maximizing
the lifetime of cognitive sensor network using sub fusion
centers |
Author (s): |
Jenifer Angel J, Punal M. Arabi |
Abstract: |
A cognitive radio is a
transceiver which enables an unlicensed user to adaptively
adjust its operating parameters and exploit the spectrum
which is unused by licensed users in an opportunistic
manner. Cognitive Radio optimizes the utilization of radio
resources, by switching channel to the most suitable
transport channel based on traffic volume (throughput),
radio resources availability, radio conditions and
mobility. Spectrum opportunity deals with the usage of an
available (free) channel that is a part of the spectrum
which is not currently used by primary users. Extending the
lifetime of the energy constrained wireless sensor networks
is a main challenge in sensor network applications. |
|
|
|
Title: |
Modeling and
simulation of control actuation system |
Author (s): |
R. Arulmozhiyal, M. Murali and R.
Manikanadan |
Abstract: |
In this paper a dynamic
simulation model is implemented using Fuzzy logic controlled
Brushless direct current motor drives for fin control
actuation. The Brushless direct current (BLDC) motor is
modeled using MATLAB-SIMULINK models and controlled by fuzzy
logic controller. In addition to this, current hysterias
controller block, inverter block and speed estimated block,
entire blocks are modeled in SIMULINK environment and
resulted are compared with conventional methods. In order to
validate the models, the models are loaded with different
loads conditions and a simulation output during loaded
conditions has satisfactory results. |
|
|
|
Title: |
DEC-LEACH: An
enhanced leach protocol for life span enrichment in WSN |
Author (s): |
Pranit Jeba Samuel C. and Selva Kumar R. |
Abstract: |
Wireless sensor networks (WSN)
has cluster of nodes whose major constraint is to monitor
various ambient parameters in the environment and transfuse
it to the base station. As this conduction is the pivotal
issue for energy depletion in the network, hence designing
the network with minimal energy depletion is negotiated,
which further increases the robustness of the network. In
this paper, algorithm for LEACH protocol is propounded with
revamping. The modified protocol called DEC-LEACH
(Density-Energy-Capacity) focuses on amending the
continuance of the sensor nodes by opting the cluster head
formation based on locus-intercourse and residual energy
with its neighbor nodes. Here the cluster head preference
is congruous rather than arbitrary. Entire nodes assert to
be cluster head corresponding to the pre-defined standard.
The Cyclic Redundancy Check (CRC) is employed to check
whether the data from the cluster head reaches the Base
station or not. These functions assist to enhance the
wireless sensor networks (WSN) interims of lifespan and
throughput. |
|
|
|
Title: |
Design of 6
dof robotic arm controlled over the internet |
Author (s): |
G. Rajiv and Siva Kumar |
Abstract: |
The purpose of the project is
to build a robotic arm, which can be controlled remotely
over the internet, and to perform operations exhibiting
higher accuracy with 6 degrees of freedom. The robotic arm
uses IP network to receive data/commands from the user, over
the internet, which are interpreted into proper instructions
and then relayed to the controller. It reduces the human
effort when used for applications such as nuclear waste
disposal and bomb disposal when compared to present methods. |
|
|
|
Title: |
Hybrid CSMA/CA-TDMA
based MAC protocols for wireless sensor networks |
Author (s): |
B. Rajesh Shyamala Devi and A.
George |
Abstract: |
Wireless sensor network
consists of several tiny sensor nodes connected to each
other in Ad hoc environment and coordinate with each other
to form a network. The sensor nodes are typically battery
powered, energy optimization and efficiency is extremely
important in WSNs. Such networks have the ability to be self
organized and failure-adaptive to provide an efficient and
reliable network. Wireless sensor networks have a wide
variety of applications such as intruder alert and tracking,
environmental monitoring, industrial process monitoring, and
tactical systems. In wireless sensor network deployments,
reliably reporting data while consuming the least amount of
power is the ultimate goal. Energy conservation is needed
especially at MAC layer level. Medium access control (MAC)
is an important technique that ensures the successful
operation of the network. The performance of MAC protocols
in congested wireless networks can be enhanced by the
combined carrier-sense multiple access with collision
avoidance (CSMA/CA) with that of time-division multiple
access (TDMA). One of the main functions of the MAC protocol
is to avoid collisions from interfering nodes and enhance
the channel access performance in wireless networks.
Designing power efficient MAC protocol is one of the ways to
prolong the life time of the network. The proposed hybrid
CSMA/CA-TDMA scheme can preserve the scalability property.
Hybrid CSMA/CA-TDMA Schemes uses the transmission strategies
based on Markov Decision Process (MDP) to access both
contention period and contention-free period. This paper
also deals with the performance comparison of proposed
Hybrid CSMA/CA- TDMA scheme in NS-2 simulator. |
|
|
|
Title: |
A secure
channel protocol for MELP speech transmission using des-ga based
approach |
Author (s): |
Srinivasan Nagaraj and G. S. V.
P. Raju |
Abstract: |
Integrity, non repudiation,
confidentiality, and authentication are important entities
in information security. Cryptography is the field of
writing a secret code and a genetic algorithm is nothing
but a revolutionary approach that is used in symmetric key
and support for encryption and decryption and also they are
faster and are suitable for performing huge flow of data.
Many problems can be solved using genetic algorithms through
modeling a simplified version of genetic processes. In this
paper we developed a security algorithm using the feature of
genetic algorithm to provide the security for MELP-compressed
speech transmission in a noisy communication channel in
conjunction with a Forward error correction code (FEC). FEC is a system of error control for data transmission, the
sender adds redundant data to its messages and this method
avoids retransmission of data and saves band width. We also
devised a method to reduce noise during communication. |
|
|
|
Title: |
Performance
analysis of autonomous location based energy efficient ACO
routing protocol with dissimilar MANET mobility models |
Author (s): |
R. Vallikannu and A. George |
Abstract: |
Performance evaluations of
routing protocols for wireless adhoc networks were largely
done using simulation tools. Few factors need to be
controlled to have useful simulation results are
transmission power, power consumption, mobility model,
traffic etc. since performance of an ad hoc network protocol
can vary significantly with different mobility models and
also under same mobility models with different parameters,
we consider the mobility model of nodes, which determines
the frequent link changes as one of the factor for
evaluating our routing protocol for Mobile Adhoc
Networks (MANETS). Therefore, the goal of this paper is to
evaluate an Autonomous Location based Energy Efficient
routing Protocol with ACO (ALEEP-with-ACO) for MANETS under
two specific mobility models i.e Disaster area and random
street model and compare the same with the benchmark Random
Way Point mobility model. We use Bonn Motion Mobility
scenario generation and analysis tool in ns-2.34. Simulation
results showed that ALEEP-with ACO performs well in Disaster
area and Random Way Point model and setback with Random
street model in most of the metrics. |
|
|
|
Title: |
Dynamic power
tuning for downlink interference mitigation in heterogeneous LTE
network |
Author (s): |
R. Sharanya, R. Gunasundari and K.
Jayanthi |
Abstract: |
Heterogeneous Long Term
Evolution (LTE) network comprising femtocells leads to
cross-tier interference that arises between macrocells and
femtocells in both uplink and downlink degrading the
performance of the cellular system. The downlink
interference from the femtocell to Macro User Equipments (MUE)
being the most serious interference case is focused in this
work. A power tuning technique has been proposed to mitigate
this interference taking into consideration the number of
User Equipments present in the interfering femtocells along
with the information received from the interfered MUE.
Simulation results show that this scheme mitigates the
interference to the MUE effectively while the total
transmission power of femtocells also reduce in the process
of interference mitigation which is an added benefit
obtained effortlessly in the dense deployment of femtocells. |
|
|
|
Title: |
MRI medical
image denoising by combined spectral subtraction and wavelet
based methods |
Author (s): |
B. Deepa and M. G. Sumithra |
Abstract: |
Image denoising is a
compromise between the removal of the largest possible
amount of noise and the preservation of signal integrity and
image resolution. To address this issue, a new hybrid
approach is proposed by fusing dual band spectral
subtraction and wavelet packet based thresholding method.
The dual band spectral subtraction method (SS) is used for
preprocessing of noisy MRI images in order to initially
reduce the noise level and further the quality of images is
improved by wavelet packet based thresholding method. Here
threshold value is determined by Stein’s Unbiased Risk
Estimator (SURE) and three kinds of thresholding are
considered for denoising. According to the computer
simulation, the best method of threshold process is obtained
by comparing the performance of three wavelet threshold
selection rules that are applied to enhance the images. It
is suggested from the experimental results that the proposed
scheme gives an improved performance, which reflects in
better image quality in all types of noisy environment. This
approach is incorporated with spatial domain and frequency
domain analysis. Results are measured objectively by Peak
Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE),Universal
Quality Index (UQI) and subjectively by measuring the visual
quality with Picture Quality Scale (PQS). Overall results
indicate that the enhancement quality is performing well in
proposed method. |
|
|
|
Title: |
A secure
method of optimized low complexity video watermarking |
Author (s): |
K. Swaraja, Y. Madhaveelatha and
V.S.K. Reddy |
Abstract: |
In recent existence numerous
video watermarking schemes have been anticipated, but the
majority of them are functional to uncompressed video. At
this point we propose a blind digital compressed video
watermarking scheme for H.264 compressed domain to condense
the number of computations. Due to its characteristics of
high compressibility, it can acquire immense quality at
minor bit rate, this is the reason why many applications
conform H.264 Codec. The planned method elites the macro
block performing the Differential Evaluation algorithm
further based on the fore determined threshold and the
coefficient rarefied for watermark embedding is deployed on
the parity of the coefficients after transformation and
quantization. The proposed method impede the bit rate
increase within a decent end point by selecting appropriate
non-zero quantized AC residuals for embedding the watermark.
Experimental results flaunt that there is more acceptable
control towards bit rate augment and at the same time
perceptual quality can be kept in existence even after
undergoing different attacks. |
|
|
|
Title: |
Anomaly
detection in wireless LAN using rough set theory combined
classifier model |
Author (s): |
P. Kavitha and M. Usha |
Abstract: |
In this paper, we suggest to
exploit the framework for detecting anomalies in Wireless
Local Area Networks (WLAN) using Rough Set Theory (RST).
With the expansion of wireless network there is a challenge
to compete with the intruders who can easily break into the
system. So it becomes a necessity to device systems or
algorithms that can not only detect intrusion but can also
improve the detection rate. In this paper we propose an
intrusion detection system that uses rough set theory for
feature selection, which is extraction of relevant
attributes from the entire set of attributes called minimal
set. The extracted features are used by Naïve Bayesian
classifier model to learn and test respectively. The
simulation results with Kyoto2006+ data set demonstrate that
our proposed method achieves the increasing performance for
intrusion detection. |
|
|
|
Title: |
Efficient
retrieval of data from cloud using data partitioning method for
banking applications [RBAC] |
Author (s): |
Rajalakshmi V., Jothi Nisha V. and Dhanalakshmi S. |
Abstract: |
Cloud computing is a
pioneering area, where abundant services are provided for
storing and handling data. Though the cloud usage reduces
the cost of its customers, there is a severe drawback
towards its privacy. As access to the data is provided open,
there is a tendency for the lack of privacy of data. The
existing methods use different encryption algorithms to
handle this issue. Encryption algorithms being costlier and
depends on the chosen key value the method becomes less
secured. Hence, in this paper a simple yet secured
perturbation procedure using integer partitioning which uses
the keyword itself for generating the key value. The
procedure is explained with the algorithm and the results
are compared with the existing method. |
|
|
|
Title: |
Chemical
reaction effects on radiative MHD oscillatory flow in a porous
channel with heat and mass transfer in an asymmetric channel |
Author (s): |
M. Vidhya, R. Vijayalakshmi and
A. Govindarajan |
Abstract: |
This paper deals with the
effect of heat and mass transfer with chemical reaction on
MHD oscillatory flow through porous medium in the presence
of heat source/sink in an asymmetric channel. Based on some
simplifying assumptions, the governing momentum, energy and
diffusion equations are solved and the analytical solutions
for fluid velocity, temperature distribution, mass
concentration, skin friction, Nusselt number and Sherwood
number are obtained. The effects of radiation parameter,
porous medium shape factor, Schmidt number, Peclet number,
Hartmann number, chemical reaction parameter, heat
source/sink parameter, geometric parameters on flow and heat
transfer characteristics have been examined in detail. It is
observed that velocity profiles increase due to an increase
in Grashof number, while the profiles decrease for an
increase in Hartmann number or an increase in radiation
parameter or an increase in Reynolds number. It is noted
that concentration profiles decrease whenever there is an
increase in chemical reaction parameter or an increase in
Schmidt number. |
|
|
|
Title: |
Intelligent
tuning of PI controller in an aerobic bioreactor |
Author (s): |
S. Saravana Kumar, K. Latha and V.
Rajinikanth |
Abstract: |
This paper proposes an
intelligent controller tuning technique for a PI controller
using a nature inspired metaheuristic algorithm, Firefly
algorithm (FA). The PI controller is designed to maintain
Dissolved Oxygen (DO) concentration in an aerobic biological
reactor of a waste water treatment plant (WWTP). The
proposed technique is compared with IMC based PID tuning
method and PI parameters of Benchmark Simulation Model1
(BSM1). The PI controller tuned using the proposed
technique produces satisfactory response and gives better
results when subjected to set-point tracking and disturbance
rejection test respectively. |
|
|
|
Title: |
Design and
fabrication of high efficiency squirrel cage induction motor
using finite element method |
Author (s): |
Govindasamy
K. Sathishkumar, N. Vimalraj, T. S. Sivakumaran and A.
Paramasivam |
Abstract: |
This paper presents the design
and analysis of a die- cast copper rotor cage, to improve
the efficiency of three phase induction motor used in
industrial applications and also it describes the various
factors affecting the efficiency of motor. The proposed
copper rotor motor has better efficiency and increase in
torque with minimum losses. An incremental difference in the
efficiency is also discussed with different values of
loads. Simulation has been carried out using Finite element
Analysis (FEA) and experimental results are shown.
Simulation and experimental results presented here
demonstrates the feasibility of the copper rotor motor. |
|
|
|
Title: |
A pipelined
approach for FPGA implementation of bi modal biometric pattern
recognition |
Author (s): |
S.
Hariprasath, T. N. Prabakar and M. Santhi |
Abstract: |
A Biometric system is
essentially a pattern recognition system that makes use of
biometric traits to recognize individuals. Systems which are
built upon multiple sources of information for establishing
identity which are known as multimodal biometric systems can
overcome some of the limitations like noisy captured data,
intra class variations etc… In this paper a Bi modal
biometric system of iris and palm print based on Wavelet
Packet Transform (WPT), gabor filters and a neural
classifier implemented in FPGA is described. Iris is the
unique observable visible feature present in the detailed
texture of each eye. Palmprint is referred to the textural
data like principal lines wrinkles and ridges present in the
palm. The visible texture of a person’s iris and palm print
is encoded into a compact sequence of 2-D wavelet packet
coefficients constituting a biometric signature or a feature
vector code. In this paper, a novel multi-resolution
approach based on WPT for recognition of iris and palmprint
is proposed. With an adaptive threshold, WPT sub image
coefficients are quantized into 1, 0 or -1 as biometric
signature resulting in the size of biometric signature as
960 bits. The combined pattern vector of palm print features
and iris features are formed using fusion at feature level
and applied to the pattern classifier. The Learning Vector
Quantization neural network is used as pattern classifier
and a recognition rate of 97.22% is obtained. A part of the
neural network is implemented for input data of 16
dimensions and 12 input classes and 8 output classes, using
virtex-4 xc4vlx15 device. This system can complete
recognition in 3.25 microseconds thus enabling it being
suitable for real time pattern recognition tasks. |
|
|
|
Title: |
Video based
vehicle detection using morphological operation and HOG feature
extraction |
Author (s): |
A. Shakin
Banu and P. Vasuki |
Abstract: |
Vehicle detection plays an
effective and significant role in the area of traffic
surveillance system, where efficient traffic management and
safety is the main concern. In this paper, the video based
vehicle detection method using morphological operations and
Histogram of Gradient (HOG) feature is proposed. The ROI
region is selected and the pixels inside the selected ROI
regions alone were detected. Sobel operator is used for the
identification of the edge pixels. The gradient is obtained
by finding the common pixels in the detected edge and the
ROI regions. Finally, the object detection process is
employed using Morphological process and Histogram Of
gradient Process. Thus, a success rate of around 83% of
accuracy is achieved in vehicle detection using proposed
method. |
|
|
|
Title: |
A novel
semi-automated 3-D CAD visualization system as an aid for
surgical planning of lung cancer |
Author (s): |
Manikandan T.
and Bharathi N. |
Abstract: |
Lung cancer is the leading
cause of cancerous deaths in the world in men and women. It
is the most difficult cancer to cure and the number of
deaths that it causes is generally increasing. It is very
difficult to detect in its early stage. In advanced stages,
treating the disease includes surgery, chemotherapy,
radiation therapy or combination. Normally, the radiologists
and surgeons detect the locations of the cancerous tumor
from the computed tomographic images. However, the computed
tomographic images are two dimensional. The mapping of
stacks of two dimensional images into original lung cavities
in three dimensional involves lot of mental work and long
time for the surgeons before they plan for surgery. This
work aimed to develop a novel semi-automated three
dimensional computer-aided diagnostic system to localize the
cancerous lung tumor in isotropic chest computed tomographic
images. In addition, it measures the volume and size of the
cancerous tumor. Low dose helical computed tomographic scan
images retrospectively obtained from 23 subjects who
suffered from lung cancer (conformed through biopsy test)
have been taken for this study. To validate the system
performance, results were compared with the three
independent radiologist’s results. The obtained results show
that a computer-aided diagnostic system performance is
satisfactory and may useful for surgical planning of lung
cancer. |
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Title: |
Design of Si/SiGe
heterojunction line tunnel field effect transistor (TFET) with
high-K dielectric |
Author (s): |
Amrutha T. P.,
Flavia Princess Nesamani I. and V. Lakshmi Prabha |
Abstract: |
In this paper we propose a Si/SiGe
heterojunction line tunnel field effect transistor (TFET)
with high-K dielectric. The main objective of this device is
to increase the ON current. In the case of Si TFETs the ON
current is very low. It is because of poor band-to-band
tunneling efficiency. This problem can be avoided using
heterojunction materials, high-k gate insulators. The device
is designed with the source material replaced by SiGe
material. The device aims at providing high ON current
without compromising the OFF current and sub threshold
swing. In this work a heterojunction line tunnel FET is
designed using TCAD and the various characteristics of the
device are analysed. The device has high ON current of about
2.5mA/µm. |
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Title: |
Efficient
secure routing algorithm for wireless sensor networks using
light weighted trust management protocol |
Author (s): |
R. Mohan
Kumar, A. V. Ramprasad and G. N. Priyadharshini |
Abstract: |
In wireless sensor networks,
secure routing and trusted transmission of data through the
nodes is one of the most challenging application. In this
paper, we are implementing the concept of trust management
by using QOS metric estimation and the concept of Light
weight trust management protocol is also introduced. The
trust degree is calculated among the nodes by the method of
direct and indirect trust computation with the help of
neighbor’s recommendation and direct monitoring of packet
forwarding process. The packets are transmitted only through
the trusted nodes. The trust degree is calculated with the
help of threshold value that is set to every nodes and the
packet forwarding behavior. The nodes are said to be highly
trusted node based on the trust degree value of the nodes.
This method is implemented using Trust based QOS routing
algorithm (TQR) .From this we can achieve the most efficient
transmission among the network. Finally the performance is
compared with AODV, Watchdog DSR and QAODV protocol. This
will conclude that it can prevent attacks from the malicious
nodes and increase the security level among the network
Index Terms—Component, formatting, style, styling, insert. |
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Title: |
Efficient and
reliable vehicle-to-vehicle communication using on-demand
routing protocol |
Author (s): |
D.
Sivaganesan, S. Karthikeyini and R. Kavitha |
Abstract: |
The cooperative vehicle safety
systems (CVSs) of Vehicular Ad-hoc Network (VANET) provides
vital vehicle tracking information. In CVS, the physical
state information about the vehicles is transmitted over a
shared wireless channel in order to let the neighbors to
track the location of the vehicle and predict possible
accidents. However, the physical state information’s are
beneficial only if they delivered in a timely manner. Thus,
the need of efficient and robust routing protocol arises in
order to enable more efficient communication. Thus, in this
paper an efficient on demand routing protocol is employed in
the communication sub component of the CVS system to
generate and transmit the location information of the
vehicle rapidly. The performance of the proposed approach is
analyzed in terms of energy consumption, throughput, packet
drop, and delay and packet delivery ratio. Thus, the results
indicate that the proposed approach provides efficient and
robust communication over VANET. |
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Title: |
An improved
contrast enhancement approach for panoramic dental X-ray images |
Author (s): |
R. Somas
Kandan and A. John Sanjeev Kumar |
Abstract: |
The Panoramic Dental X-ray
image is an important tool for a thorough dental
examination. These X-ray images suffer from poor contrast
because of the luminance non-linearity introduced by medical
imaging techniques. Hence an automatic method of image
enhancement of panoramic X-ray image is essential. A novel
method of improving the quality of these images is
determined based on gamma correction using GLCM (Gray level
co-occurrence matrix) by minimizing the homogeneity feature
and by computing a global gamma value based on cumulative
histogram without any knowledge of the imaging device. The
performance of both the methods is compared in terms of
metrics like MSE, PSNR & AMBE and it is illustrated that
gamma correction based on GLCM by minimizing the homogeneity
yields better results in terms of low MSE, high PSNR and low
AMBE. |
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Title: |
Modeling
vertical coherence for shallow water ambient noise |
Author (s): |
V. G.
Sivakumar |
Abstract: |
Ambient noise is the
prevailing unsustainable noise in the sea. It is the
background noise, typical of the location & depth against
which a signal like the sound of a submarine or the echo
from a target must be detected. Underwater ambient noise
continuously varies in level and spectral content. It
excludes self noise like electrical noise, current flow
around measurement hydrophone. So we need to measure the
ambient noise considering different factors like wind,
precipitation, biological noise, tides etc. The ambient
noise is measured using the vertically spaced hydrophones in
the shallow water of the Arabian Sea region. Using these
ambient noise measurements, vertical coherence is estimated.
Theoretical model for vertical coherence is also calculated.
In this paper comparison between the theoretical and the
practical vertical coherence is done. |
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Title: |
Voltage
control for three- phase inverter based distributed generation
under grid disturbances |
Author (s): |
Ashwini D.
Udgave and H. T. Jadhav |
Abstract: |
The recent trend of
distributed generation leads to several issues regarding
power quality and energy efficiency. To meet the increased
demand of electricity services and to increase service
quality the current power grid structure should be
controlled in such a way that distributed generation could
be easily connected to it. The various services are becoming
challenging concern to elegantly integrate distribute
generation to the grid. One of these services is voltage
control which provides support to the voltage under grid
fault conditions. During voltage sag condition continues
power supply should be provided to grid. According to grid
code requirement of transmission system, several kind of
voltage sag requires different voltage control strategies.
Hence in this paper a flexible control strategy for three
phase grid connected inverter is proposed. The inverter
should be controlled in such way that it should inject
reactive power in case of three phase balanced voltage sag
condition in order to raise voltage in all three phases. In
case of single line to ground fault, double line to ground
fault condition and in several fault condition the main aim
of inverter is to balance the voltages. The proposed
inverter balances the voltages by sinking negative sequence
components during this fault conditions. Thus the proposed
control strategy avoids discontinuation of supply while
accomplishing the chosen voltage support service so that
voltage dips and voltage swell can be avoided. And this can
be investigated and simulated by using Matlab/Simulink. This
paper proposes a new control algorithm for the generation of
the reference current which offers voltage provision in case
of grid disturbances. |
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Title: |
Classification of diseased plant leaves using neural network
algorithms |
Author (s): |
K.
Muthukannan, P. Latha, R. Pon Selvi and P. Nisha |
Abstract: |
Agriculture is the mother of
all cultures. It played a vital role in the development of
human civilization. But plant leaf diseases can damage the
crops there may be economic losses in crops. Without knowing
about the diseases affected in the plant, the farmers are
using excessive pesticides for the plant disease treatment.
To overcome this, the detected spot diseases in leaves are
classified based on the diseased leaf types using various
neural network algorithms. By this approach one can detect
the diseased leaf variety and thus can take necessary steps
in time to minimize the loss of production. The proposed
methodology uses to classify the diseased plant leaves using
Feed Forward Neural Network (FFNN), Learning Vector
Quantization (LVQ) and Radial Basis Function Networks (RBF)
by processing the set of shape and texture features from the
affected leaf image. The simulation results show the
effectiveness of the proposed scheme. With the help of this
work, a machine learning based system can be formed for the
improvement of the crop quality in the Indian Economy. |
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Title: |
Adaptive
neuro fuzzy inference system based sensorless rotor position
estimation of SRM |
Author (s): |
K. Kasi Rajan
and P. Latha |
Abstract: |
This paper presents sensorless
rotor position estimation of Switched Reluctance Motor (SRM)
where the position is to be determined by Adaptive Neuro
Fuzzy Inference System (ANFIS). The rotor position sensing
is very essential for the SRM for its efficient operation.
Previously rotor position sensors are used to estimate the
position of rotor for SRM. Due to its drawback the sensors
have to be replaced by sensorless techniques. So in this
paper ANFIS is used to map the nonlinear behavior of the SRM
and rotor position is estimated. Mapping is done by the
inputs of flux linkage and current to the rotor position as
its output. The error between the target and the actual
rotor position output is to be calculated. Also the time
period of the process, Mean Absolute Error (MAE), Mean
Square Error (MSE) and MSEREG are calculated and the
comparison is to be made among them. Then comparison of
different membership functions, number of epochs and number
of membership functions are being carried out for ANFIS. The
performance of the ANFIS is analyzed using the error and
efficiency. The proposed application will proves the
superiority of ANFIS for the rotor position estimation. |
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Title: |
Performance
of DC to DC dual active bridge converter driving single phase
inverter |
Author (s): |
Digvijay B.
Kanase, H. T. Jadhav and R. A. Metri |
Abstract: |
Solid state transformer is a
high frequency transformer can be used as power electronic
converter. The three stage SST configuration includes ac to
dc rectifier, isolated dc to dc dual active bridge
converter, dc to ac inverter. The switching frequency of
inverter part is greater than DAB part so inverter stage is
model for double line frequency i.e. at 120 Hz. The second
harmonics are dominant at this frequency. For better
performance of DAB converter PI control is used but at 120
Hz it has limited gain. To proposed methods are PI plus feed
forward and PI plus Resonant controller. |
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Title: |
Detecting and
tracking moving vehicles for traffic surveillance |
Author (s): |
Y. Mary Reeja,
T. Latha and W. Rinisha |
Abstract: |
Traffic surveillance has
become an important issue in traffic monitoring. In general,
to observe the traffic flow, vision based traffic
surveillance is one of the most popular methods. This paper
presents an efficient method for detecting and tracking
vehicles that aims to locate and segment interesting vehicle
from a video with occlusions in traffic surveillance.
Initially background subtraction is used for detecting
moving vehicles from static cameras using frame differencing
method. This method detects the foreground objects based on
the difference between the reference frame and the original
frame. Then the shadows in the foreground are eliminated by
the edge extraction and the edge of the moving vehicle is
detected. Finally the vehicle is detected using Histogram of
Oriented Gradient (HOG) and Relative Discriminative
Histogram of Oriented Gradient (RDHOG) method which
represents the shape and magnitude of the vehicle and by
generating trajectory of the moving vehicles. This method
can detect the vehicle with any shape, color and with
occlusion. After the detection of vehicles in the frame, the
detected vehicle is tracked using a particle filter which is
based on the likelihood estimation of the probability
density function. This method can detect and track vehicles
with occlusions effectively. |
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Title: |
Security key
management and authentication scheme for wireless sensor
networks |
Author (s): |
S. Jayapraba
and A. F. Sheik Hakkani |
Abstract: |
Wireless Sensor Networks (WSN)
is vulnerable to node capture attacks in which an attacker
can capture one or more sensor nodes and reveal all stored
security information which enables him to compromise a part
of the WSN communications. Due to large number of sensor
nodes and lack of information about deployment and hardware
capabilities of sensor node, key management in wireless
sensor networks has become a complex task. Limited memory
resources and energy constraints are the other issues of key
management in WSN. Hence an efficient key management scheme
is necessary which reduces the impact of node capture
attacks and consume less energy. In this study, we develop a
cluster based technique for key management in wireless
sensor network. |
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Title: |
Operation and
control of an alternate arm modular multilevel converter |
Author (s): |
J. M. Kharade
and A. R. Thorat |
Abstract: |
An Alternate Arm Modular
Multilevel Converter (AAMMC) is the recently introduced
power electronics converter topology suitable for High
Voltage DC Transmission (HVDC) system applications. This
paper focuses on the operating principle of an Alternate Arm
Modular Multilevel Converter. At the beginning the
advantages of multilevel converter, basic schematic of
converter topology, and its operation is discussed. For the
controlling of the converter the simple sorting technique is
employed. The AAMMC is a new converter topology which offers
several advantages over existing multilevel converter
topologies such as scalable and modular structure, low
switching losses, DC fault tolerance property which
eliminates the need of AC/DC breakers of large size and
ratings, lower number of cells as compared to modular
multilevel converter. The performance of the 21 level AAMMC
without sorting and with sorting technique is verified with
MATLAB Simulation. |
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Title: |
Design and
simulation of a dual material double gate tunnel field effect
transistor using TCAD |
Author (s): |
Ashly Ann
Abraham and V. Lakshmi Prabha |
Abstract: |
High leakage currents and
short channel effects become significant enough to be the
major concerns for circuit designers as semiconductor
devices are miniaturized. Tunnel field effect
transistor (TFET) show good scalability and have very low
leakage current .These transistors have very low leakage
current, good sub-threshold swing, improved short channel
characteristics and lesser temperature sensitivity. In this
paper a dual material gate (DMG) in a tunnel field effect
transistor is proposed in order to optimize ON current and
nature of output characteristics. Significant improvement is
shown by a TFET if appropriate work functions are chosen for
gate material on the source side and drain side. A dual
material gate in double gate TFET is applied to show an
overall improvement in performance. In comparison with
conventional TFET, the proposed model provides a higher ON
state current. |
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Title: |
Analysis of
optimal location of superconducting fault current limiter for
the smart grid |
Author (s): |
Rohini A.
Desa, Mangesh R. Bongale and H. T. Jadhav |
Abstract: |
In today’s world, smart grid
is the new term used for future power system. Also, there is
dramatic growth in power system and interconnected network.
Due to this increased interconnected network possibility of
occurrence of abnormal events is more, which may harm the
physical equipments in power system. Use of Superconducting
fault current limiter is an effective solution to avoid
these problems. Superconducting fault current limiter is an
innovative protection device which is used to reduce the
magnitude of fault current in high voltage system. In this
paper the application of resistive type superconducting
fault current limiter is explained, which is used to reduce
the magnitude of fault current in designed smart grid
system. However, Finding optimal location for installation
of superconducting fault current limiter is difficult task.
This paper describes a study on performance analysis of
smart grid with superconducting fault current limiter and
its optimal location. |
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Title: |
Failure
analysis of centrifugal pumps based on survey |
Author (s): |
Selvakumar J.
and Natarajan K. |
Abstract: |
The problems commonly
encountered in a centrifugal pump are leakage, excessive
noise, excessive heat, suction clog no-pumping, and damage
of its components. Major reasons for the failure of a pump
are excessive stress, reduction in strength of its
component, variation in applied load, and poor design.
Continuous working of the centrifugal pumps is essential in
process industries such as paper mills, textile mills and
refineries, for non-stop operation of the plants. In such
cases reliable functioning of the pump is an absolute
necessity. The major objective of this paper is the analysis
of component life and frequency of occurrence of problems in
a centrifugal pump. A survey was conducted among pump users
to collect data on component life and occurrence of problems
in pumps. Data collected through the survey were
subsequently analyzed. |
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Title: |
A survey on
machine scheduling techniques |
Author (s): |
Cyril Joseph
Francis, K. Jeyaprakash, A. Vimalkodeeswaran and P. Yuvaraj |
Abstract: |
In this paper the study about
the different methodologies and techniques implemented for
different types of scheduling problems in single machine,
job shop and flow shop scheduling. Every author tells about
the different scenario and approach to minimize the Make
span, Tardiness and different parameters in scheduling.
Every author implements their own algorithms and the
strategies to find out the result, it may be positive or
negative. This paper gives the clear idea for the future
research work. |
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Title: |
Energy
efficient adaptive broadcasting scheme for wireless sensor
networks |
Author (s): |
P. K. Kowsalya
and R. Harikumar |
Abstract: |
Energy-efficiency is a
critical issue in wireless sensor networks (WSNs), since
sensors are battery operated with limited life time. Energy
efficient broadcasting will have a direct impact on network
lifetime. Since the minimum energy broadcasting schemes are
affected by broadcast storm problem, it has to be addressed
to improve the energy efficiency. To overcome the broadcast
storm problem, probabilistic schemes have been proposed in
the literature to make a rebroadcast decision. However, the
random assessment delay (RAD) in probabilistic broadcasting
schemes results in poor reachability and increased end to
end delay in the congested networks. In the proposed work,
the probabilistic scheme adapts its RAD based on network
congestion level. The simulation results reveals that the
new scheme outperforms the existing schemes in term of
saved-rebroadcast, packet delivery and routing overhead. |
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