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ARPN Journal of Engineering and
Applied Sciences
May 2015 | Vol. 10 No. 8 |
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Title: |
Strip deflection
compactibility method (sdcm) for rectangular plate analysis with corners
held down |
Author (s): |
Otoyo D. J., Johnarry
T. N and Ephraim M. E. |
Abstract: |
The
subject of plate shall continue to gain application in virtually all
fields because of its applicability in numerous engineering projects
such as in aerospace, building, naval architecture, offshore
engineering, and roads. To ensure safe, fast delivery and economy of
projects, engineers and researchers require a simplified and faster
method of analysis. Strip Deflection Compatibility Method (SDCM) which
utilizes basic equation of elastic curves in x, y, and xy directions to
derive a Load Distribution Equation readily comes to rescue. With the
new but simple model, the problem is reduced to calculating only the
load factors in x, y, and xy directions. The factors are then multiplied
by equivalent beam moments and deflection at point of interest to obtain
plate values. Twist, deflections and Poisson’s ratio have all been used
in the derivation of the model, thus guaranteeing a more reliable
results and may be applied in any material. Results from the model show
great promise as they compare favourably to existing classical
solutions. |
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Title: |
Evaluate the risk of hydrate blockage inbend
flowlines |
Author (s): |
H.kh. Ben Mahmud |
Abstract: |
As
oil and gas developments are moving into deeper waters, production
strategies are becoming more challenging due to the aggressive
environment. Generally, offshore wells have flow lines that transport
hydrocarbon between the platforms, manifolds, and onshore facilities are
normally lying on the sea bed. In such configuration where the flow
lines are curved, there is a high risk of water accumulation at the low
spot sections during shutdown operations. A multiphase Computational
Fluid Dynamic (CFD) model based on a Volume of Fluid (VOF) approach is
employed to investigate the effect of restart gas superficial velocity
at a different liquid patching on the flow pattern within a long
pipeline. The flow pattern obtained from the CFD simulations compare
well with Baker flow map. CFD is demonstrated to be an efficient tool to
predict adequately the flow behavior in such pipe flow system. The CFD
generated flow pattern map allows for the risk assessment of hydrate
formation, thus pointing out the conditions where the risk is either low
or high. |
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Title: |
Security analysis of three factor authentication
schemes for banking |
Author (s): |
S. Lakshmi, Nuni Sri Annapurna and T.
Sharmila Latha |
Abstract: |
Lack of proper security in identification of a remote client in
distributed systems, unauthorized access of various services and
resources in different areas such as Banking, military government
organizations has been increased enormously. The generally used
technique to decide the uniqueness of a remote client is two factor
authentication and the two factors are user id and password and one time
password. This paper investigates basic and safe framework to improve
two-factor authentication to three-factor authentication. In three
factor authentication identity of remote client is determined by three
factors, namely MULTIPLE PASSWORDS to the distributed systems,
NON-PROGRAMMABLE CARD and BIOMETRIC (face reorganization) along with MMS
facility. This conversion not only signifies in the improvement of
information guarantee at little expenditure but also defend privacy of
the client in dispersed systems. |
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Title: |
Optical and dielectric force
gradient actuation schemes for excitation of triple coupled micro
cantilever sensor in mass sensing applications |
Author (s): |
Nalluri Siddaiah,
D.V. Rama Koti Reddy, G R K Prasad, Hossein
Pakdast and Patcha Satya Srinivas Babu |
Abstract: |
We apply dielectric gradient
force actuation scheme to the central cantilever of triple coupled
cantilever system. The oscillation amplitude and frequency of all the
three modes is measured. We have shown that a dielectric cantilever can
oscillate when a static voltage is applied with a modulation signal
because of the polarization effect. This actuation scheme is also
compared with the traditional optical actuation scheme. |
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Title: |
Selection of small hydropower
project site: a multi-criteria optimization technique approach |
Author (s): |
Priyabrata Adhikary, Pankaj
Kr Roy and Asis Mazumdar |
Abstract: |
Small hydropower projects (SHP)
are emerging as solution for sustainable, eco-friendly, long term and
cost-effective water or renewable energy resource for future. Selecting
the appropriate small hydropower project site and its parameters in
which to invest is a critical task involving different factors as each
project is unique and site specific. Hence such decision-making can be
viewed as a multi-criteria optimization problem with correlating
criteria and alternatives. This task should take into consideration
several conflicting aspects because of the increasing complexity of the
socio-political, technological, environmental and economic factors.
Traditional single criteria decision-making approaches cannot handle the
complexity of such systems. Multi-criteria optimization or MCDA or MCDM
methods may provide a better and flexible tool. This paper aims to
evaluate applicability of multi-criteria optimization to decision makers
during the small hydropower project site selection. To the best of the
author’s knowledge these novel approaches for application of
multi-criteria optimization in small hydropower site selection are
absent in renewable energy or water resource or fluid mechanics
literature due to its assessment complexity. |
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Title: |
Common rail diesel - automotive
to aerial vehicle conversions: an update (part
ii) |
Author (s): |
Luca Piancastelli and
Leonardo Frizziero |
Abstract: |
Back to the 1997 when this
activity began, it was generally thought that CRDIDs (Common Rail Direct
Injection Diesel) would have completely replaced the piston gasoline
engines used in aircrafts within a decade. This fact did not happen for
several reasons. This paper tries to individuate these reasons. The more
updated solutions to the many problems that almost stopped this
application are also introduced. In this second part of this paper
engine selection concepts and TBO (Time between Overhaul) are
introduced. |
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Title: |
On the application of the
high-performance virtualized computing infrastructure for processing
large volumes of experimental modeling data |
Author (s): |
Khashkovsky V.V., Bolotov
M.V., Shkurko A.N. and Trotsenko R.V. |
Abstract: |
The paper discusses approaches to organizing systems of experimental
data analysis in terms of effective management of a high-performance
computing infrastructure. The aim of the given work is to describe the
organization of an efficient high-performance computing infrastructure
for experimental modeling. To achieve these objectives, the analysis of
data sources and processing stages, specific to the subject area, is
performed. The approaches, based on key technologies, including the use
of virtualization, are considered. For the approach based on the use of
virtualization, the problems of the virtual infrastructure management
and methods of its administration are considered. The conclusions tell
about the coordination between the virtual infrastructure management
policy and the management policy implementation resources based on
development of specialized tools. The work performed is included into
the basic part of the government task on "The Information and
Algorithmic Support of Digital Control Systems, Autonomous
High-Precision Navigation and Machine Vision in the Future of Aircraft:
the Development of Theoretical Basis for Design, Algorithms, Methods of
Efficient and Reliable Software Implementation, the Use of a
High-Performance Computing Infrastructure for Experimental Modeling". |
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Title: |
Model of economic value for the
dessertification process of the “Tatacoa dessert” |
Author (s): |
Jennifer Katiusca Castro, Nestor
Enrique Cerquera and Freddy Humberto Escobar |
Abstract: |
A
tool for collecting information for the economic value of the soil
erosion growing in the Tatacoa dessert was design and validated. The
internal consistency analysis calculated with the alpha coefficient of
Cronbach was used for validation purposes which is a very trustable
instrument. For the economic value of the desertification process was
used a basic aggregate model which allows observing the desertification
effects on such variables as “economic capital and work” expressed in
the model as “gross value of agriculture production” (VBP). The model
variables affect in a whole the “gross value of agriculture production”
finding, furthermore, that economic capital, terrain, desertification
and terrain-desertification interaction are variables that,
individually, explain the gross value and agriculture production. |
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Title: |
Optimal capacitor placement and sizing in a radial
distribution system using clonal selection algorithm |
Author (s): |
V. Tamilselvan,
K. Muthulakshmi and T. Jayabarathi |
Abstract: |
This paper presents the Clonal selection algorithmic approach to
minimize power loss and energy cost by optimal capacitor placement and
sizing in Radial Distribution System (RDS). The clonal selection
optimization for optimal capacitor allocation is considering the daily
load curve, which is represented by a given number of load levels. As an
important branch of the Artificial Immune Systems (AIS), the Clonal
Selection Algorithm (CSA) stems from the clonal selection mechanism that
describes the basic natural immune response to the stimulation of
non-self cells (antigens). To check the feasibility, the proposed method
is applied on standard 33 and 69 bus radial distribution systems.
Numerical results obtained from the given approach are compared with
other methods. The proposed approach results seem to surpass the
solution given by other methods. |
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Title: |
Comparison of tuning algorithms
of pi controller for power electronic converter |
Author (s): |
B. Achiammal and R.
Kayalvizhi |
Abstract: |
The Negative Output
Elementary Luo converter is a newly developed DC-DC converter. Due to
the time-varying and switching nature of the above converter, its
dynamic behavior becomes highly non-linear. Conventional controllers are
incapable of providing good dynamic performance for such a converter and
hence optimized techniques have been developed to tune the PI
parameters. In this work, Bacterial Foraging (BF) algorithum and
Modified Bacterial Foraging (MBF) algorithum are developed for PI
optimization. Simulation results show that the performances of BE-PI
controller and MBF-PI controller are better than those obtained by the
classical ZN-PI controller. |
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Title: |
Review of acoustic characteristics of materials using impedance tube |
Author (s): |
Niresh J,
Neelakrishnan S, Subharani S, Kannaian T and Prabhakaran R |
Abstract: |
With the unprecedented growth of
automobiles in emerging economies, it is essential to ensure a
qualitative competition among automotive manufacturers. The benchmarking
of each product requires precise testing equipment for qualitative
parametric valuation and marketing. Automotive noise control is one such
area, and is important in preventing the noise as it is not desirable
inside the vehicle. Noise control materials are used in passive noise
control and are sensitized to different noise sources. These materials
need to be characterized for noise control characteristics. This paper
elaborately discusses various methods available for measuring the
acoustic characteristics of materials. |
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Title: |
A cost estimate model for sewerage system |
Author (s): |
B. Balaji, P. Mariappan
and S. Senthamilkumar |
Abstract: |
Detailed design and cost estimation of a
sewerage system consumes a lot of time due to the involvement of various
components and technicalities. Many a times, a rapid assessment of a
probable cost of a sewerage system is vividly required for budget
projection. As such no preliminary cost model is available for the
purpose. The present work attempted to derive a preliminary cost model.
Population is the main factor based on which quantity of sewage to be
handled is decided. Moreover, it governs the length of sewer, pipe size
etc. Keeping the population as an independent factor, an empirical
relationship has been derived between the population and installation
cost of the sewerage scheme from the actual data. The developed
relationship will help the planning engineers to prepare a cost estimate
rapidly if the population of a city is known. |
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Title: |
Review and analysis of non-isolated
dc-dc power
electronic interface with fuel cell system |
Author (s): |
K. Prithivi and L. Ashok
Kumar |
Abstract: |
Fuel cells are becoming the most
interesting and promising alternative resources for both automotive
industry and stationary power plants. However the technological hurdle
lies in the design of an efficient power electronic interface for the
development of commercial products in the aforementioned fields. As the
fuel cell output voltage is low, achievement of high step-up, low cost
and high efficiency DC-DC
conversion is the major
consideration. This paper reviews and analyses the various DC-DC
converters suitable for fuel cell system applications which mainly
focuses on the non-isolated topology along with its advantages,
disadvantages and its suitability for various power applications. In
addition a clear overview about the parameters to be considered for the
selection of converters is also described. |
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Title: |
A survey on big data and its research challenges |
Author (s): |
S. Justin Samuel,
Koundinya RVP, Kotha Sashidhar and C.R. Bharathi |
Abstract: |
There has been an ever-increasing interest in big data due to its rapid
growth and since it covers diverse areas of applications. Hence, there
seems to be a need for an analytical review of recent developments in
the big data technology. This paper aims to provide a comprehensive
review of the big data state of the art, conceptual explorations, major
benefits, and research challenging aspects. In addition to that, several
future directions for big data research are highlighted. |
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Title: |
Design and numerical enhancement analysis of
slanting type baffle plate in shell and tube heat exchanger |
Author (s): |
V. Vedhagiri Eswaran,
G. Ramadoss and N. Subramanian |
Abstract: |
In this research work it consists Heat exchangers
are important
heat transfer apparatus in Food processing, Energy conversion, Thermal sectors etc. The present work modifies the existing bends flow and pressure Losses
method used for conventional
foam hybrid heat exchanger, apply a consideration the slant type geometry
of slant-changer. Thermal
analysis
was carried out to study the impacts
of various
baffle slant
angles
on fluid flow and heat transfer
of heat
exchangers with Slant baffles. The analysis was conducted for conventional shell and tube heat Exchanger and
Twist type heat changer for five baffle Slant angles. Numerical finite element
approch Analysis results indicate that continual Slant Type baffles can
reduce or even eliminate dead regions in the shell side of shell-and-tube
heat exchangers. The pressure Losses varies drastically with baffle slant angle and shell-side
Reynolds
number. The variation of the velocity Losses is relatively large for small slant angle. However, for
flat or stright type, 15°-55°, the effect
of α on velocity Losses is very
less. Different between to the sagricate hybrid
heat exchangers,
the
hybrid heat exchangers
with continual Slant baffles have
higher heat transfer coefficients
to the same pressure
,velocity losses. The detailed Geometry on the heat convection and
pressure Losses across the shell
side
will
provide further basis flow for further optimization of shell-and-tube heat
exchangers. |
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Title: |
A review on indirect solar dryers |
Author (s): |
Pranav C. Phadke, Pramod. V
.Walke and Vilayatrai. M. Kriplani |
Abstract: |
Solar drying is one of the most ancient
and simplest forms of drying known to mankind. Even today, most of the
agricultural produce such as grains, spices, fruits and vegetables are
dried under the sun. However, drying these products directly under the
open sun has many drawbacks such as debris, rain, blowing wind, insect
infestation, human and animal interference etc. which leads to
contamination of the products. By the use of solar dryers, such problems
can be easily overcome. Thus, there is a need to make the solar dryers
more efficient and cheaper. There are various types of solar dryers
developed and are classified based on the mode of air circulation, such
as, natural circulation and forced circulation solar dryers; based on
the type of drying, like, direct solar drying, indirect solar drying and
mixed mode solar drying; material to be dried; types of operation e.g.,
batch or continuous, etc. In case of direct type solar dryers, the
products are exposed directly to solar radiation which reduces the
quality of the products. Also, the drying rate is very low in direct
type solar dryers. These disadvantages are overcome by indirect type
solar dryers. In this paper, we did a comprehensive review of various
new technologies in indirect type solar dryers. We reviewed how these
dryers fare against open sun drying and against each other and also, all
the different enhancement techniques applied to them, in order to
improve their efficiency and reduce the drying times. |
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Title: |
Preliminary study on managing facility y manager
competencies for high rise building in Malaysia |
Author (s): |
Marjan Hussin, Hamimah Adnan, Ismail
Rahmat and Norbaya Abdul Rahim |
Abstract: |
Facilities Management is devoted to the coordination
of space, infrastructure, people and organization. This paper aims to
identify the challenges faced by the facility manager’s in high rise
building services in Malaysia. Facility Manager is often seen as a
leader who seems not able to deliver full scale facilities management
role, lacking in knowledge and skill (issue of competences). A
preliminary study was conducted to 20 facility managers to gain initial
overview of their working experience in the high rise building. It was
found that the challenges were operational cost, quality of services,
risk management, organizational needs, manpower expertise and business
growth. In terms of problem resolutions, the prelim interviews
highlighted inadequacy in defining acceptable service level, process
review and measurement, choice of technological support, budget
utilization and allocation as well as overall organizational target.
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Title: |
An efficient automated multimodal contour
segmentation of multimodal brain tumor image using dynamic sparse field |
Author (s): |
M. Jegan Mohan and S.
Mohammed Mansoor Roomi |
Abstract: |
Segmentation of tumor cells from Magnetic Resonance Imaging (MRI) has
witnessed significant popularity in recent years, bringing new
challenges to advanced medical imaging. The performance of today’s image
segmentation on multimodal brain images heavily depends on the
consumption of processing time. In this work, we propose Automated
Multimodal Contour Segmentation (AMCS), an efficient technique to
achieve robustness under different scanning region points on multimodal
brain images. Here, effective segmentation is performed by evaluating
the tumor volume, curvature, global and local regions. The proposed MBIS
algorithm result shows that the multimodal brain images with higher true
positive rate compared with certain benchmark techniques in the
literature while being efficient in terms of processing time, true
positive rate and robustness in terms of segmentation accuracy. |
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Title: |
Vibration reduction in conventional vehicles by
increasing the stiffness on the chassis frame |
Author (s): |
S. Ganesan and K. Panneerselvam |
Abstract: |
The major hazard overcoming by the heavy vehicle
transport corporation in our country is generation of noises and it is
due to loosening of components mounted over the chassis frame. For this
reason transport corporations are spending lot of money at
reconditioning centres. Ladder type chassis is the most commonly used
because of its better bending and torsion strength. The source for the
failures of fasteners in the road excitation frequency lying between 0
to 100 Hz. The natural frequency of the vehicle chassis frame for
bending and torsion lies at the same range resulting in resonance
causing the frame to vibrate. It is highly impossible to replace the
chassis and suspension system with latest ones for the huge number of
heavy vehicles under operation across the country. In our project we had
shifted the natural frequency of bending and torsion above the road
excitation frequency by the use of reinforcement plates placed at
different geometries at the side rails of the frame. The modal analysis
were conducted for various thickness of reinforcement plates like 5, 7
and 9mm. Software used in this work is CATIA V5 R20 for modeling, ANSYS
for Analysis. |
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Title: |
Design of sensor network for real time data
acquisition of water level in the agricultural field |
Author (s): |
Amit Biswal, Marimuthu R, S. Balamurugan
and S. Ravi |
Abstract: |
Crop loss due to water logging and floods in the agricultural fields is
one of biggest challenges faced by the farmers and a cause of concern
for the scientists and researchers working for the innovations in
agricultural technologies. Crop loss due to water logging take toll of
heavy economic loss to the farmers and indirectly affect country's
economy by enhancing the fiscal deficit. To counteract this problem,
this paper proposes a system wherein the crop loss is reduced by
controlling the water level in the field. In this system, capacitive
plate based liquid level sensors are used in the sensor network. The
main focus of this paper is on the design of a novel sensor network
which is capable of sensing 96 sensor values which is obvious in the
case of large commercial farms, using few ADC pins of a micro
controller. This paper makes use of the proposed sensor network for
agricultural application to prevent crop loss due to water logging. |
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Title: |
Pipeline architecture for fast decoding of bch
codes for nor flash memory |
Author (s): |
Sunita M.S, Chiranth.V,
Akash H.C and Kanchana Bhaaskaran V.S |
Abstract: |
The Bose-Chaudhuri-Hocquenghem (BCH) codes form a class of random error
correcting cyclic codes capable of multiple error correction. This paper
develops a new high throughput error correction mechanism for NOR
flashes memories employing BCH codes. The high throughput is achieved by
using pipeline architecture for decoding. The decoding of BCH codes is a
complex process with multiple decoding stages and hence it requires a
large decoding time. The pipeline mechanism enables multiple decoding
stages to run concurrently rather than sequentially, which can in
effect, significantly increase the throughput. Thus, this paper proposes
a novel 2-stage pipeline circuit for the decoder. For validating the
circuit, this has been compared with the conventional 3-stage pipeline
and also with the non-pipeline decoding. The decoder area and power are
found to be about 30% less than that of the 3-stage pipeline
architecture. The throughput of the decoder is found to increase from
200Mb/s to 437Mb/s while operating for a clock frequency of 1GHz, which
is a sweeping increase of about 118%. This significantly improves the
system performance and hence, this architecture is depicted ideal for
the high speed NOR flash memory. |
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Title: |
Pressure behavior of horizontal wells in
dual-porosity, dual-permeability naturally-fractured reservoirs |
Author (s): |
Jing Lu, Tao Zhu,
Djebbar Tiab and Freddy Humberto Escobar |
Abstract: |
The pressure behavior of horizontal wells in dual-porosity,
dual-permeability naturally-fractured reservoirs is presented. The
proposed equation is obtained by double Fourier transformation and
Laplace transformation. The results calculated for combinations of
various dimensionless characterizing parameters, including the
permeability ratio between matrix and fracture systems, have revealed
the unique behavior of naturally fractured reservoirs when the flow
state within the matrix blocks is taken into account. It is concluded
that, for the flow within matrix blocks will weaken the essential nature
of fluid flow through a dual-porosity, single permeability medium
revealed by Warren-Root model. This paper also presents the application
of “Tiab’s Direct Synthesis” technique to horizontal wells in an
infinite-acting dual-porosity, dual-permeability naturally-fractured
reservoirs with pseudosteady state interporosity flow. |
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Title: |
Noise reduction and control in dcfs fbw with
hardware and digital fuzzy filters |
Author (s): |
Luca Piancastelli and Raimondo Alberto
Bernabeo |
Abstract: |
This paper introduces the implementation
of a few algorithms based on fuzzy logic to improve the performance of a
"Fly-by-wire" (FBW) "Digital Flight Control System" (DCFS). These
algorithms have been tested on a flight simulator type "FNPT II". This
simulator was entirely developed at the Laboratory of Aerospace
Engineering of the University of Bologna (Forlě site). The algorithms
should be simple (reliable) and quick in order to avoid response delay.
They should also bring a true advantage in the FBW system. The proposed
solutions are on the active filtering of the inputs an adaptive
tolerance implementation for the identification of faulty sensors and
their deactivation. The field in which this study has demonstrated
greater effectiveness is in SW filtering of input signals, where a
simple and effective algorithm was implemented. Finally, extremely
simple hardware techniques to reduce input noise are also described. |
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Title: |
Development of the decision support system in transit trade of
industrial goods on the basis of cognitive approach and linear
programming |
Author (s): |
Khlebnikova A. I. |
Abstract: |
Currently, the market for industrial goods in Russia has formed a
complex mechanism of movement of goods from producer to final consumer.
An active role in the goods movement play a small wholesale transit
trade companies, which carry out mediation activities. Decision makers
are an integral part of the management of these enterprises. Due to a
lack of skills and low level of knowledge about the market, lack of
skills and gain economic ties with enterprises in particular transport
and logistics sector as a whole, these companies become a source of
inefficient solutions in the field of logistics of goods delivery,
reducing the overall economic efficiency of commodity markets. Developed
cognitive method for formalizing the optimization problem based on the
development of a cognitive map which quantitative vertices and their
relationship justify the selection of optimization model parameters and
constraints for industrial goods transit trade. |
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Title: |
Manner of definition of allowance in the tabular -
algorithmic method of functions computations |
Author (s): |
Ledovsky Mikhail I. and Sinyutin Sergey A. |
Abstract: |
In
this work the power-effective algorithm of functions computation for
wireless gauging modules for picking-up and processing the
bio-physiological signals where the power consumption is provided due to
energy accumulation from surrounding medium. Application of
tabular-algorithmic method for computation of functions and different
methods of allowance definition is being considered for power -
effective algorithm derivation: the linear interpolation, monomial
Taylor's series, method «digit after digit» and method of integration of
generating equations prescribing the function behavior between the
closest tabular and preset value of the argument. A special
implementation of generating equations integration method is offered and
the improvement of algorithm energy performances is justified:
decreasing of fulfilled cycles’ number, reducing of volume of functions
tabular values, use of set of prime adding operation (subtraction) and
alteration. The analytical and experimental analysis of methodical error
of algorithm is being performed. The results of model operation, given
in system MATLAB, show that in the conditions of restricted precision of
data and computations mode with the point fixed, the algorithm error
accepts the admissible values. The results of operation can find an
application at development of power -effective software of built-in
systems with low power consumption. |
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Title: |
On the generation of homogeneous, inhomogeneous and
goodier-bishop elastic waves from the geometrical ray theory |
Author (s): |
Victor H. Aristizabal and
Juan D. Jaramillo |
Abstract: |
In
this paper, a new group of exact and asymptotic analytical solutions of
the displacement equation in a homogeneous elastic media, considering
the most general solution of the Helmholtz equation, which have not been
shown in papers and standard texts, are presented. Moreover, the authors
show from the ray theory point of view the meaning of such solutions.
These solutions could be helpful in future conceptual works about
generation and emerging phenomena in elastic waves such as scattering
and diffraction, among others, specifically in the analysis of the
boundary conditions. Here, new kinds of P-S body waves that oscillate
elliptically and propagate outward from sources in a full-space are
found where, as special cases, the grazing longitudinal (Py) and
transversal (SVy) waves of the Goodier-Bishop type, the analytic
expressions for the Rayleigh wave and surface P waves, for which the
amplitude decays from sources, are obtained. Also, the standard
expressions for the homogeneous plane wavefronts, surface P
waves, and Rayleigh surface waves, are achieved. |
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Title: |
A trust scheme for discovering and quarantine the
misbehaviors in manet |
Author (s): |
Vijayan R and Jeyanthi N |
Abstract: |
The nodes in mobile adhoc network misbehave due to topology changes,
vulnerable medium, short signal range and limited energy. Mobile adhoc
networks need collaboration and trust among the nodes for transmission
of packets. Many existing schemes in MANETs are having less probability
of detecting misbehavior of nodes. This trust scheme includes energy
spent by a node; number of packet forwarded parameters in neighbor
observation and recommendation trust evaluation. A most trustworthy node
will act as certificate issuer. Certificates are required by highly
trusted nodes for packet transmission. Misbehaved nodes are discovered
and quarantined from routing packets. This scheme can be probable
solution in crucial times of natural disaster, manmade disaster,
military applications etc. Experimental results are presented with
Qualnet Simulator. This proposed framework has shown better results in
detecting misbehaving nodes. |
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Title: |
Optimization of performance characteristics in the
absorber with twisted tapes inserts of parabolic trough collector using
response surface methodolog |
Author (s): |
K. Syed Jafar and B. Sivaraman |
Abstract: |
A study is carried out with the experimental investigation
of an absorber with twisted tape in solar parabolic trough collector to
obtain optimum process parameters by Statistical tools such as design of
experiments. In these study parameters as Reynolds number and twist
ratio are optimized with the consideration of responses as the heat
transfer and friction factor. From the results, it was observed that the
significant increase augmentation in Nussle number and considerable
friction factor can be obtained at high Reynolds number and low twist
ratios parameters. Finally, from the experimental design and ANOVA using
Design Expert software, it was found that the twist ratio is the major
parameter that influences absorber of parabolic trough collector
performance. |
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Title: |
Design optimization of helical gear using sheep
flocks heredity model algorithm |
Author (s): |
P. Arulmozhi, M. Chandrasekaran
and S. Padmanabhan |
Abstract: |
An
optimal design for an engineering optimization problem involves various
decision variables and constraints. In engineering applications,
objectives under consideration conflict with each other, and optimizing
a meticulous solution with respect to a single objective can result in
objectionable results with respect to the other objectives. A practical
solution to a multi-objective problem is to examine a set of solutions,
each of which satisfies the objectives at a satisfactory level without
being conquered by any other solution. In this paper, Sheep Flocks
Heredity Model Algorithm (SFHM) used to optimize the helical gear drive
with combined objective function which maximizes the power and minimizes
the overall weight has been considered. The performance of the proposed
algorithms is validated and results are compared. |
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Title: |
Impact of mobility speed on proactive and reactive
routing protocols in mobile Adhoc networks |
Author (s): |
E. Gnanamanoharan and R.
Bensraj |
Abstract: |
A Mobile Ad-Hoc Network (MANET) is an autonomous system and mobile nodes
can communicate with each other by wireless links. At any moment nodes
are coming together and leaving the network in random manner and also
fast moving nodes
frequently.
These nodes get connected to each other and also can act as a router, by
forward data to other wireless nodes. The topology of the network
changes often or quickly by mobility of the nodes is an important aspect
in the design of effective routing algorithm and it should be efficient
and consistent to discover new routes and maintain them till the
successful delivery of packets between the node pairs. This paper
systematically discuses the performance evaluation and comparison of
three routing protocols AODV, DSR and DSDV in two different scenarios using random waypoint
mobility model and performance metrics such as throughput, packet
delivery ratio and end-to-end delay are considered for the significant
impact of mobility speed on the performance of the both proactive and
reactive routing protocols |
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Title: |
An
effective prediction analysis using J48 |
Author (s): |
Bhuvaneswari T,
Prabaharan S and Subramaniyaswamy V |
Abstract: |
Classification is the
one of the well known techniques in data mining. Based on the attributes
of the object, classification assigns an object to one of numerous
pre-defined categories. If information gain is not good then split
attributes values into groups until we get better classification ratio.
J48 is the one of the most frequently used classification techniques. In
this paper, J48 is employed to effective prediction analysis of
Iris data set. Three types of Iris flower with 250 instances and
five attributes is used as test and training data. The results show that
the accuracy of prediction is improved when compared with the existing
ID3 method. |
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Title: |
Real time implementation of control strategies for three tank process |
Author (s): |
N. Kanagasabai and N.
Jaya |
Abstract: |
In this study the
controller for three tank multi loop system is designed using
coefficient Diagram method. Coefficient Diagram Method is one of the
polynomial methods in control design. The controller design by CDM
method is based on the choice of coefficients of the characteristics
polynomial of the closed loop system according to the convenient
performance such as equivalent time constant, stability indices and
stability limit. Controller is designed for the three tank system by
using CDM method. CDM-PI is compared with fuzzy gain scheduling and
conventional PI controller .The proposed CDM design is fairly stable and
robust whilst giving the desired time domain system performance. The
real time implementation of these two control schemes is done using
VDPID data acquisition module for the three tank process. |
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Title: |
Geotechnical aspects
of flood plain deposits in south east Aswan city, Egypt |
Author (s): |
A. El- Shinawi and O. S.
Naymushina |
Abstract: |
Geotechnical aspects of the Flood plain
deposits in south east Aswan City were investigated to evaluate their
geotechnical behaviour. Flood plain deposits in the study area composed
of soft soils which are difficult to both sample and test. The paper
describes some geotechnical properties of these soft soils which
representing the foundation bed for engineering constructions in south
east Aswan City. Laboratory tests were carried out to assess the
physical and mechanical properties of the soils. Different types of soft
soils were detected by drilling six boreholes all over the studied zones
including friable clays, clayey sand with remains of calcareous
materials and well graded sand with gravel. The particle size
distribution classified samples as clayey sand (SC) and well graded sand
(SW). The investigated soil samples which were tested have low to medium
water content and the water content were increased with increase the
depth. Also the friable clay had low density and classified as loose
soil, while well graded sand and clayey sand had medium to high density
values and classified as medium to high dense soil. The unconfined
compressive strength showed promising values in range of 1.86 - 22.1Mpa.
Shear characteristics of the fine grained soils (friable clay) possessed
the lowest peak friction angle (17ᵒ), while the medium to coarse grained
sands had the highest peak friction angle (25ᵒ). Clay samples displayed
moderate swelling pressure, in the vicinity of 16kg/cm2, pointing to
less probability for various problematic situations during and after
constructing processes. The extracted water from soil samples under
investigation showed not aggressive manner. |
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Title: |
Soft-switching current-fed
push-pull converter for PV application |
Author (s): |
K.Abarna, S.
Divya and P. Raja Rajeswari |
Abstract: |
In this paper, a soft
switching single-inductor push-pull converter is discussed. A push-pull
converter is suitable for low voltage photovoltaic applications, because
the step up ratio of high frequency transformer is high. Photovoltaic is
considered to be a popular source of renewable energy due to several
advantages, specifically low operational cost, and maintenance free and
environmental friendly. In the conventional converter, primary switches
are turned ON at the zero voltage switching condition and turned off at
zero current switching condition through parallel resonance between the
secondary leakage inductance of a transformer and resonant capacitor.
The proposed push-pull converter also decreases the switching loss using
soft switching of the primary switching. The boost rectifier added
reduces the turn’s ratio of the transformer further when compared to the
voltage doubler. |
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Title: |
Security analysis of three
factor authentication schemes for banking |
Author (s): |
Albert Mayan.J,
Sharmila Latha T and Kislay Kumar Sinha |
Abstract: |
Lack and resources in
different areas such as Banking, military, government organizations has
been increased enormously. The commonly used method to determine the
identity of a remote client is two factor authentication and the two
factors are user id and password and one time password. This paper
investigates generic and secure framework to upgrade two-factor
authentication to three-factor authentication. In three factor
authentication identity of remote client is determined by three factors,
namely MULTIPLE PASSWORDS to the distributed systems, NON-PROGRAMMABLE
CARD and BIOMETRIC (face reorganization) along with MMS facility. This
conversion not only signifies in the improvement of information
assurance at low cost but also protects client privacy in distributed
systems. |
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Title: |
Mutual authentication using
image processing and visual cryptography protocol for patient database |
Author (s): |
B. Padmavathi, Vishrut
Sharma, Sungkrityayan Khan and Adithya Krishnareddy |
Abstract: |
Online Patient database is a
particular type of service rendered by a chain of intercommunicated
hospitals. Medical practitioners and clients are able to access their
records or look into status of their diagnosis from any of the other or
branch hospitals. The principle concern in online patient database is
the authenticity of both the doctor and the client. Due to ineluctable
intruding of the database on the Internet, it is very hard to rely on
any kind of data on the Internet. The propounded approach of ours, based
on Image processing technique and Visual Cryptography, the
authentication problem is resolved. This particular paper proffers a
technique of processing the Endoscopic Ulcer images based on Grow-cut
and then divides it into Secret shares based on Random Grid Visual
cryptographic Techniques. The total number of shares to be created
depends on the strategy selected by the medical practitioner. If two
shares are prepared, one of the shares is reposited in the Global
Hospital Server, and the other is retained by the client. The client has
to produce his/her secret share during the consultation. Client's share
is then stacked with the Hospital Server share to obtain the original
Endoscopic image. This method of correlation aids in concluding the
decision based on espousal or denial of the output and hence confirms
the client. |
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Title: |
Time synchronization using
intelligent hybrid mac protocol for wireless sensor networks |
Author (s): |
J. Prathibanandhi and D.
Vydeki |
Abstract: |
Accurately synchronized
clocks are crucial for many applications in sensor networks. The
Intelligent Hybrid Mac Protocol (IH-MAC) is designed to provide
accurately synchronized clocks between neighbors. IH-MAC works in a
completely decentralized fashion. Every node periodically broadcasts its
time information. IH-MAC is the combination of both Q-MAC and Z-MAC. IH-MAC
achieves high channel utilization during high traffic load. IH-MAC
provides the internal synchronization which means consistent view of
time across all nodes that makes robust against link and node failures.
Due to high load it switches from broadcast scheduling to link
scheduling. It uses the time synchronization method to allocate the time
slots. IH-MAC uses Request to send and clear to send handshakes for low
energy consumption. The objective of this paper is to increase the
quality of service Hybrid MAC (IH -MAC) is used. The transmission power,
throughput, delay and packet delivery fraction are measured. The IH-MAC
protocol is simulated on the network simulator 2 setup. |
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Title: |
Energy aware fuzzy based
multi-constrained single path QOS routing protocol in manets |
Author (s): |
V.
Jayanthi and M. Sundarambal |
Abstract: |
Routing real-time traffic
with good Quality of Service (QoS) is a challenging task in Mobile
Ad-Hoc Networks (MANETs). Energy Aware Fuzzy based Multi Constrained
Single path QoS Routing (E-FMSQR) protocol which is an extension of AODV
is proposed to find an optimal path by considering multiple QoS metrics.
Considering Multi-constraints like Bandwidth, Delay, Number of Hops and
Energy, a single fuzzy cost is determined as output cost. The protocol
also computes Link Expiration Time (LET) based on the speed and
direction of movement of the mobile node to predict the nodes mobility
to identify a stable path. An optimal path is chosen as one with minimum
output cost and maximum LET. Path breakage due to link failure or node
failure is prevented. The simulation result shows the improvement in
throughput and packet delivery ratio with minimum delay. It shows better
energy distribution among nodes minimizing node failures in the network
and maximizing the network Lifetime. |
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Title: |
A guide to bluetooth low energy
technology |
Author (s): |
Manik Grover,
Suraj Kumar Pardeshi and NirbhowJap Singh |
Abstract: |
Bluetooth Low Energy (BLE) is used as a wireless technology for machine
to machine communications and industrial automation. It is also being
used in biomedical and sports products. This paper explains the software
and hardware needed for implementing Bluetooth low energy technology. An
android app has been developed for communication with the designed
hardware. This paper serves as a guide to anyone involved in development
with Bluetooth low energy. BLE technology is implemented and
demonstrated with the help of an example. A high gain differential
antenna is used in hardware for better range. |
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Title: |
Advanced text classifier based
on the concept of pipelining and cc clustering |
Author (s): |
P. S. Ramesh and
S. Letitia |
Abstract: |
Image processing is a way to
alter an image into digital structure and carry out a few operations on
it, in order to obtain an improved image or to take out a little
valuable information from it. In this paper, testing has been made to
pull out text from remote sensing images. The task is to separate text
from the non-text area of an image. The separated text is converted into
speech. And the way of segregation of text and translating into speech
is supportive in lots of ways, such as guiding visually impaired
persons; help to navigate tourists, etc., the citation of text area from
a remote sensing image is done by maximally stable extremal region
algorithm and the Ada boost classifier. The overall process of text
extraction has to be done and achieved through the major concept called
pipelining. Varied algorithms have been used in implementing this
technique. Traditionally Region-based algorithm was used and it had lots
of hindrance mainly the decisions were made locally. Hence connected
component has been introduced which reduces the disadvantages of
Regional-based algorithm to a certain extent. The main purpose of the
experiment is to overcome the disadvantages like photometric
degradation, geometric distraction. The result is to extract text area
with accuracy and speed and also to overcome the disadvantages of
previous techniques. |
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Title: |
Differential 10t
tcam with
parallel Pai-sigma matchline |
Author (s): |
Sulthana A and
Meenakshi V |
Abstract: |
A low power differential 10T
TCAM with parallel Pai-Sigma matchlines is presented which consumes less
compare power during search operation, compared to 6T-TCAM. It performs
parallel comparison with stored data which reduces power consumption of
matchlines of TCAM and also search time is reduced .The NAND and NOR
type matchlines are combined to form the Pai-Sigma matchlines. If NAND
(NOR) type TCAM cell is used then NAND (NOR) type matchline is used. NOR
type TCAM has feature of high speed and high compare power. NAND type
TCAM has low speed and low compare power. In Pai segment the NAND type
cells are connected in parallel to form the NAND type matchline. In
Sigma segment NOR type cells are connected in series to form the NOR
type matchline. The matchline incurs the problem of short circuit
current due to mismatch and match result of NAND and NOR matchlines.
NAND type matchline exist the problem of charge sharing when the search
result of the NAND line is mismatches. This proposed TCAM has less
compare (search) power compared to the NAND/NOR type TCAM cell. |
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Title: |
An improved method of
mimo-ofdm
channel estimation using chaotic pilot sequence |
Author (s): |
A. Sumathi, K.M. Ayesha and
S. Kaja Mohideen |
Abstract: |
High data rate
transmission, spectral efficiency and reliability are necessary for
future wireless communication systems. MIMO-OFDM (multiple input
multiple output- orthogonal frequency division multiplexing) technology,
has gained great popularity for its capability of high rate transmission
and its robustness against multi-path fading and other channel
impairments with the available power and bandwidth. A major challenge to
MIMO-OFDM systems is how to obtain the channel state information
accurately and promptly for coherent detection of information symbols
and channel synchronization. When perfect knowledge of the wireless
channel conditions is available at the receiver, the capacity has been
shown to grow linearly with the number of antennas. In this work,
MIMO-OFDM channel estimation is done by using a novel pilot signal that
is well suited for wide band applications. Least Square (LS) and
Minimum Mean Square error (MMSE) channel estimation methods are
employed. Blind channel estimation and training sequence based
estimation for fading channels (Rayleigh and Rician) using these two
methods have been carried out. To improve the performance a new chaotic
sequence is used for channel estimation. Finally the Mean square Error (MSE)
analysis is done for SISO-OFDM and MIMO-OFDM and comparison is made
between LS and MMSE methods through MATLAB simulation with chaotic pilot
sequence and conventional pilot sequence. The proposed chaotic pilot
sequence estimation gives superior performance. |
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Title: |
Investigations on lifting scheme based
dwt ofdm and its
fpga
implementation |
Author (s): |
Stephy Mathew
and N Hariprasad |
Abstract: |
One of the most promising
modulation techniques is Orthogonal Frequency Division Multiplexing. In
most of the wireless and wired standards, it has been widely adopted.
The main idea of OFDM is to utilize the numerous number of closely
spaced orthogonal subcarriers into a parallel stream of channels to
transmit data. Here in this paper, implementation of DWT based OFDM in
FPGA is done using lifting scheme architecture. The lifting scheme of
DWT architecture is made by using both System generator XILINX and
Simulink MATLAB and the results are analyzed. Also the linking of
lifting scheme with OFDM is done. The FPGA implementation of DWT based
OFDM using lifting scheme is done using Spartan 3E FPGA. |
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Title: |
Improvement of power quality
using custom power devices |
Author (s): |
P.K.Mani and K.Siddappa Naidu |
Abstract: |
There are many custom power devices and they are divided in two groups:
network-reconfiguring type and compensating type. The network
reconfiguring group includes the following devices: solid-state current
limiter (SSCL), solid-state breaker (SSB) and solid-state transfer
switch (SSTS). These devices are much faster than their mechanical
counterparts. The compensating devices either compensate a load,
correcting its power factor, unbalance etc., or improve the quality of
the supply voltage. These devices are either connected in shunt or in
series or a combination of both. The compensating group includes
distribution static compensator (DSTATCOM) to compensate for load
reactive power and current harmonics, dynamic voltage restorer (DVR) for
voltage support, and unified power quality conditioner (UPQC) for both
current and voltage compensation. The present work focuses on the last
custom power device UPQC, which is a combination of a shunt and series
device and can combine the functions of these two devices together. |
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Title: |
Fusion of medical images using
mutual information and intensity based image registration schemes |
Author (s): |
C. Karthikeyan
and B. Ramadoss |
Abstract: |
Image fusion is the process
of combining two or more images for providing more information. Medical
image fusion refers to the fusion of medical images obtained from
different modalities. Medical Image Fusion helps in medical diagnosis by
way of improving the quality of the images. In diagnosis, images
obtained from a single modality like MRI, CT etc, may not be able to
provide all the required information. It is needed to combine
information obtained from other modalities also to improve the
information acquired. For example combination of information from MRI
and CT modalities gives more information than the individual modalities
separately. The aim is to provide a method for fusing the images from
the individual modalities in such a way that the fusion results in an
image that gives more information without any loss of the input
information and without any redundancy or artifacts. In the fusion of
medical images obtained from different modalities they might be in
different coordinate systems and they have to be aligned properly for
efficient fusion. The aligning of the input images before proceeding
with the fusion is called image registration. The intensity based
registration and Mutual information based image registration procedures
are carried out before decomposing the images. The two imaging
modalities CT and MRI are considered for this study. The results on CT
and MR images demonstrate the performance of the fusion algorithms in
comparison with registration schemes. |
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Title: |
A wind-battery optimal design
algorithm for power generation system |
Author (s): |
K. M. Kamble and Mr.
H. T. Jadhav |
Abstract: |
This paper presents an optimal design with improved algorithm for
optimal sizing of the standalone wind-battery power generation system,
reporting minimum total cost of the system with satisfying the
requirement of power supply reliability. The adopted method is found to
be superior over earlier traditional methods. The energy storage system
using a kinetic battery model may act as a source or a load according to
the wind power output and loading conditions. Battery lifetime decides
the lifetime of the system. The method proposed increase the lifetime of
the system considering all the battery constraints. |
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Title: |
Lossless method for data hiding
in encrypted image |
Author (s): |
Patel Roshni,
Aslam Durvesh and Patel Urvisha |
Abstract: |
The concept presents an idea to embed data in an encrypted image by
using an irreversible approach of data hiding or data hiding, aimed at
secretly embedding a message into the data. Massage communication over
internet facing problems like data security, copyright control, data
size capacity, authentication etc. A new idea is to apply reversible
data hiding algorithms on encrypted images by wishing to remove the
embedded data before the image decryption. The aim of this dissertation
is to create a secure data hiding technology. The data hiding and image
encryption are done by using two different keys. That is encryption key
and the data hiding key. So the receiver who has the data hiding key can
retrieve the data embedded. |
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Title: |
TCDC: transformation of cloud
datacenter framework to enhance business values using efficient
scheduling algorithm |
Author (s): |
Backialakshmi. M and SathyaSofia. A |
Abstract: |
As per current trends, Cloud is regarded as the computational model for
Hyper Scale Computing and science cloud applications, which deals with
complex and highly complex and intensive data. Cloud computing is a
utility computing technique which involves a scheduling environment on
demand and promotes scalable delivery models to the cloud users. The
process of scheduling involves both the job and resource scheduling
methods in a Cloud environment. The goal of this paper is to develop
architecture and an algorithm for scheduling to manage the resources of
cloud efficiently. The bio-inspired Efficient Deadline Based Ant Colony
Optimization (EDBACO) technique is used for the scheduling of cloud
resources in the proposed approach. It aims to end up with the optimal
solution for the matching of the exact resources with the jobs. The
simulation results of the proposed algorithm involve the parameters like
success ratio and the CPU utilization. Moreover the proposed approach
performs well compared to the existing conventional algorithms. |
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Title: |
Hybridization of fuzzy c-means
and competitive agglomeration for image segmentation |
Author (s): |
I. Nandhin and
V. Mohan |
Abstract: |
Image segmentation is the process of partitioning a digital image into
multiple segments. Different methodologies have been proposed for the
segmentation based on normal techniques such as region growing,
threshold technique, watershed transform. The disadvantage of these
methods leads to the development of segmentation based on clustering
techniques. The main concept of data clustering is to use the centroid
to represent each cluster. Also it is based on the similarity between
the input vectors to that of the centroid to represent each cluster.
Parametric and Non-parametric methods are the broad classes of the
clustering methods. Non-parametric method involves finding natural
groupings in a dataset using a Euclidean distance between the samples of
the dataset. Non-parametric clustering includes k-means, hierarchical,
spectral clustering. The disadvantages of these methods are lack of
sufficient robustness to image noise. So, a fuzzy segmentation
methodology has been widely applied in image clustering and
segmentation. The important problem in fuzzy c-means is to specify the
number of clusters and selection of objective function. So, a fuzzy
clustering-based vector quantization algorithm is used. This algorithm
utilizes a specialized objective function, which involves the fuzzy
c-means along with a competitive agglomeration term. This algorithm is a
fast process and the reconstructed images maintain high quality.
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Title: |
A
cmos temperature sensor with
-60oc to 150oc sensing range and ±1.3oc inaccuracy |
Author (s): |
Subhra Chakraborty, Abhishek
Pandey and Vijay Nath |
Abstract: |
An energy efficient
temperature sensor for constant temperature monitoring has been
introduced in this paper. The proposed sensor doesn’t use BJT for
sensing; instead it utilizes the temperature dependency of threshold
voltage of MOSFETs for designing of this sensor. The sensor circuit is
designed with separate biasing circuit for limiting the power
dissipation of the circuit. Both PTAT and CTAT voltages has been
extracted from the circuit. The proposed temperature sensor is simulated
in Cadence Analog Design Environment with UMC90nm library. The circuit
has been designed for the range of -60oC to 150oC.
The simulation result shows an inaccuracy of ±1.3oC and 862nW
power consumption. |
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Title: |
Design of low power high speed
dram architecture using dual edge triggered flip flop |
Author (s): |
Manoranjitham M
and Vijayashaarathi
S |
Abstract: |
Memory power consumption plays a major role in the multi-core computer
platforms. Now a day, the bandwidth and the capacity of the memory data
rate is increased. Due to that, the power consumption becomes higher and
higher in the memory which covers a maximum power consumption in the
system .Generally, conventional memory system do not provide an
efficient mechanism for managing its power and performance tradeoff.
Mini-rank architecture is designed for the DDRx memories by breaking
each DRAM rank into multiple narrow mini-ranks and activates only fewer
devices for each request which reduces the memory power consumption.
This technique will cover large area due to different mini-rank
configurations in the memory and the data transfer in the signal is
slightly slow due to single edge triggered flip-flop. Thus, the
structure of the mini-rank architecture is designed efficiently by
combining different configuration in the common memory by introducing
memory select line for selecting the x32, x16, and x8 bit configurations
and also dual edge triggered flip flop is implemented in the memory to
reduce the count of the clock cycle. |
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Title: |
Variation-tolerant sub-threshold
sram cell design technique |
Author (s): |
Soumitra Pal, Malreddy
Shekar Reddy and Aminul Islam |
Abstract: |
At present SRAM cell is
under renovation stage. Researchers are trying to propose an SRAM cell
that withstands the ever-increasing PVT (process, voltage and
temperature) variations and supports low-voltage operation even under
subthreshold regime. In this article, a 10T SRAM cell based on DSBB and
DTMOS techniques is proposed. This cell is identical to conventional 10T
(CON10T) SRAM cell except the body bias connections of the FETs used in
the design. This cell is operated in subthreshold region varying from
400 mV to 200 mV. The proposed cell offers 2.64× higher read current and
1.36× tighter spread in read current. It takes 38.04% shorter time to
sense a particular data available at the storage nodes with 50.58%
improvement in its distribution. The proposed cell benefits 19.48% of
write delay and 3.33× tighter spread in write delay compared with its
conventional counterpart. It also offers 2× improvement in its
write-ability and 2.67× increment in read current to leakage current
ratio (IREAD/ILEAK) with
same RSNM (105 mV) and hold power (1.17 nW) @ 400 mV. |
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Title: |
A compact microstrip bandpass
filter using various coupling topology for
uwb application |
Author (s): |
J.Megala, H.Umma
Habiba, Mullai Kodi. C., K.Bhavya and M. Krithika |
Abstract: |
This paper presents the
design of Microstrip bandpass filter with Hairpin structure, Comb line
structure, and tree coupled structure and cross coupled hairpin filter
configurations with the center frequency of 4.8 GHz. The simulation of
these configurations is performed using the ADS Simulation Tool. The
four coupling topology filter is designed for the substrate FR4 (Flame
Retardant) with the dielectric constant 4.4. The simulated results show
that the coupling topology filters designed here are operating well for
their desired specifications with good dielectric constants provides the
highest return loss and lower insertion loss for filter configurations.
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Title: |
Parallel multiplier-accumulator
unit based on vedic mathematics |
Author (s): |
Jithin S and Prabhu E |
Abstract: |
In this paper, an efficient parallel multiplier and accumulator (MAC)
unit based on Vedic mathematics is presented. Vedic mathematics utilizes
the Urdhva-tiryagbhyam sutra for the multiplier design. The proposed MAC
architecture enhances the speed of operation while reducing the gate
area and power dissipation. We also achieve improved delay with the help
of Vedic encoder followed by the removal of accumulator stage by
parallelizing the intermediate results feeding the input. Such
pipelining of the midway results, prior to the final adder, has the
effect of combining the accumulator stage with the partial product stage
of the multiplier. Further, the overall computation speed of MAC unit is
elevated by the efficient use of higher order compressors in the merged
partial product compression and accumulator (PPCA) architecture. The
area, timing and power reports show that, the critical path delay of the
proposed design is significantly reduced and it outperforms the existing
designs. We report an absolute improvement of 20-30% and 7-18%
respectively for the 4-bit and 8-bit Vedic MAC units, in terms of its
total circuit power, critical path delay and cell area. The architecture
was synthesized using standard 90nm CMOS library and implemented on
Altera's Cyclone II series FPGA. |
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Title: |
Channel estimation algorithms
and bit error rate analysis of cognitive radio |
Author (s): |
M. PremKumar, M.P. Chitra
and M. Arun |
Abstract: |
This paper mathematically
proposes channel estimation algorithms for Cognitive Radio (CR) in terms of Mean Square
Error (MSE) and analysis of its Bit Error Rate (BER) performance. As
cognitive radio associates itself with the family of opportunistic
communication for using frequency spectrum efficiently, issues such as
spectrum sensing and channel estimation gain attention. When the main
issue of spectrum sensing is accomplished through different methods,
information needs to be transferred in cognitive radio scenario. The
issue of channel estimation is important for information transfer and it
plays a role in data detection. Channel estimation is addressed in this
paper and the channel estimation algorithms proposed for estimating the
wireless channel coefficients in a CR scenario are Least Squares (LS)
and Linear Minimum Mean Square Error (MMSE) approaches. Though, LS and
LMMSE are existing algorithms, there is no such specific research paper
which presents simulation results of MSE performance of both the
algorithms for Cognitive Radio. Hence, the unique contribution of this
research paper is to derive the channel estimation algorithms for
estimating wireless channel coefficients, obtain simulation results in
terms of MSE performance and use the estimated coefficients in analyzing
BER performance of CR environments. Simulation results show that the
LMMSE algorithm shows better MSE performance in comparison to LS
algorithm in lower signal to noise ratio (SNR) values and same MSE
performance in higher signal to noise ratio values. This performance in
higher SNR is due to characteristics of the training sequences used for
estimation. To verify the correctness of the claims made in this
research paper theoretical Mean Square Error performance is derived to
validate channel estimation. The results shown in this paper can be
helpful for researchers working in the community of Cognitive Radio and
can act as platform for many pioneering research works to evolve in near
future. |
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Title: |
Mem based brain image
segmentation and classification using
svm |
Author (s): |
T. Deepa, R.
Muthalagu and K.Chitra |
Abstract: |
Computer aided diagnostics plays an important role in clinical routine.
The application of new technology to different imaging modalities
creates a more challenge. Image processing plays a vital role in medical
applications. Brain is the majestic organ in the human body. The central
nervous system consists of a brain, and spinal cord, which is a the
major control network for the body's functions and abilities: conscious
communication with our body and automatic operation of vital organs.
It controls all over the body tissues. The brain is divided in to
regions that control various functions, such as movement, speech and
balance. Damage to a region may affect the some functions related to
movement, difficulty speaking, or loss of coordination in all
activities. Brain tumor is an irregular growth
of new tissues in the brain. If that tissue is not treated well,
spreading with other tissues will resulting in cancer. In proposed
system, Modified Expectation Maximization (MEM) algorithm implemented
for segmentation and SVM classifier applied for image classification.
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Title: |
Prediction of body fat using
segmental body composition by bioelectrical impedance in the evaluation
of obesity |
Author (s): |
Ragini. B, Aishwarya. S.R,
TamilSelvan.M, Anushree Pillai and Anburajan. M |
Abstract: |
One of the drawbacks of the
most commonly used tool for obesity screening, body mass index (BMI) is
its inaccuracy in assessing body fat. In order to address the issue
associated with the aforementioned screening tool; this study aims at
predicting body fat percentage (%BF) using segmental body composition
variables measured by bioelectrical impedance analysis (BIA). A total of
ninety women between the age group of 20 to 75 years participated in the
study. From the women who partook in the study %BF, regional (arm, leg,
trunk) fat distribution parameters and bioelectrical impedance variables
were measured using multifrequency BIA. Pearson’s correlation was
applied onto the obtained measurement data and was found that BMI and
%BF were significantly correlated (r=0.952). Substantiated by the high
value of correlation, %BF cut-off values for corresponding BMI cut off
values recommended by WHO were calculated and obesity was evaluated for
the population under study. Regression equations from the best model (r2=0.97)
was used to predict %BF values for the subjects. Receiver Operating
Curves (ROC) analysis was executed to evaluate the ability of predicted
%BF values to distinguish between obesity and non-obesity. With the help
of the analyses that were performed it was inferred that the predicted
%BF was able to distinguish obesity clearly with sensitivity being 95.5%
and specificity being 97.7%, the Area Under the Curve (AUC) was found to
be 0.997. Corroborated by the high levels of sensitivity, specificity
and AUC obtained from the analysis, the %BF computed from the segmental
BIA variables can be used as an additional tool for screening population
for obesity. |
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Title: |
Resource management in clouds:
outlook and reflections |
Author (s): |
Aneena Ann Alexander
and S Durga |
Abstract: |
Cloud computing is a common
buzz word in today’s computing environment where processing, storage,
network and software are provided as an on demand service to their
customers. The resources required by different users depend on their
respective personalized applications. Advances in technologies on the
other hand, lead to the migration from traditional desktop devices to
smart mobile devices. Resource management in cloud is a complex problem
due to its inherent nature such as heterogeneity in the resource types
and their interdependencies, unpredictable load and scalable nature of
the datacenters. This paper reviews various provisioning and load
balancing strategies which outlines a conceptual framework of the
resource management in various clouds. Additionally, an outlook of
common research challenges such as meeting customer demands, application
requirements, achieving global manageability of the cloud computing
resources, developing energy efficient strategies are discussed for an
efficient cloud resource management. |
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Title: |
Time-frequency analysis of
ionospheric scintillation cosmic gps-ro data using synchrosqueezing
transform |
Author (s): |
T. Raghavendra Vishnu, D.
Venkata Ratnam and J.R.K. Kumar Dabbakuti |
Abstract: |
COSMIC GPS Radio occultation
systems are developed for investigating global ionospheric and
tropospheric features of atmosphere Ionospheric effects are a major
critical concern in radio communications and navigation systems. The
predominant Ionospheric effect is scintillation, which causes small
scale fading in GNSS received signals. Hence, there is a necessity to
understand the ionospheric morphology, especially in low latitude
region. In this paper, GPS RO ionospheric scintillation measurements
over the Indian region have been considered for the analysis. A Novel
spectral analysis tool based on synchrosqueezing transform (SST) method
is proposed for identifying low latitude equatorial Ionospheric
anomalies. It is found that SST provides better time-frequency
resolution under conditions of severe scintillation. |
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Title: |
Big data analytics in
healthcare: a survey |
Author (s): |
Gemson Andrew Ebenezer J
and Durga S |
Abstract: |
Like Oxygen, the world is
surrounded by data today. The quantity of data that we harvest and eat
up is thriving aggressively in the digitized world. Increasing use of
new innovations and social media generate vast amount of data that can
earn splendid information if properly analyzed. This large dataset
generally known as big data, do not fit in traditional databases because
of its’ rich size. Organizations need to manage and analyze big data for
better decision making and outcomes. So, big data analytics is receiving
a great deal of attention today. In healthcare, big data analytics has
the possibility of advanced patient care and clinical decision support.
In this paper, we review the background and the various methods of big
data analytics in healthcare. This paper also elaborates various
platforms and algorithms for big data analytics and discussion on its
advantages and challenges. This survey winds up with a discussion of
challenges and future directions. |
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Title: |
An secure
melp communication
using ecc and
fec |
Author (s): |
Srinivasan Nagaraj
and G.S.V.P. Raju |
Abstract: |
The
purpose of cryptographic research is to
devise protocols that provide a confidential and authenticated
transmission channel for messages over an insecure channel. ECC
used for encryption and decryption. They are typically fast and are
suitable for processing small storage data. Many problems can be solved
using ECC. In this
paper
we developed a security algorithm using the feature of ECC
algorithm to provide
the security for
MELP-compressed speech transmission in noisy channels in conjunction
with a forward error control scheme called Hamming distance code.
Forward error correction (FEC) is a system of error control for data
transmission. FEC avoids retransmission of data, at the cost of higher
bandwidth requirements on average and we also devised a method to reduce
noise during communication. |
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Title: |
Predictive vehicle collision
avoidance system using raspberry -
pi |
Author (s): |
Sumit Garethiya,
Lohit Ujjainiya and Vaidehi Dudhwadkar |
Abstract: |
Highway obstacle detection is the most versatile and challenging task in
real time scenario. With the enhancement of emerging embedded
technologies in automotive field, the life of people becomes more
comfortable and provides safety against accidents. Now a day, almost in
all vehicles an intelligent safety and alert system is implement which
warns the driver to avoid accidents. In proposed work, advanced
collision avoidance system is introduced which detects the presence of
obstacle in front as well as in blind spot of vehicle and alert the
driver accordingly. This system implants ultra sonic sensor for
detection purpose of real time moving and stationary object under all
weather environment. |
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Title: |
Multi target tracking under
occlusion using particle filter and projected gradients |
Author (s): |
Karpagavalli. P M.E,
Ramprasad M.E and Vijayadurga. P |
Abstract: |
A Promising approach for
occlusion tracking, the most complex chore in target representation and
target localization is proposed. Multiple kernels provide more in-depth
information than single kernels. Multiple inter related kernels have
thus been exploited for tracking occlusion. Adaptive multiple kernels
based tracker is attractive, because it contemporaneously combines a
summary description of both the intensity values and spatial positions.
The algorithm combined with projected gradients provides continuous
optimization algorithm. Projected gradients furnish the best match using
predefined constraints. An efficacious method is also accomplished to
deal with the scale change issues. The paper provides fast convergence
and lesser computation. Simulation results prove that the proposed
method tracks the video object under occlusion efficaciously. |
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Title: |
Defending against security breaches of byzantine attacks in
manets |
Author (s): |
R. Sivakami and G. M.
Kadhar Nawaz |
Abstract: |
MANETs are widely used in military operations than their
usage in commercial applications. Unmanned Army Systems, autonomous
ground vehicles, automated battlefields and robots are the latest
technologies of warfare and vigilance systems. The significance of
MANETs in defense operations is inseparable. This increased use of
MANETs in army leads to the need for improved ways of secured
communications and robustness of the network. One of the major potential
threats to military MANETS is Byzantine attacks. Byzantine attack is a
kind of insider attack who knows very well about the functioning of
established MANETs. This work gives a solution to eradicate Byzantine
attacks from the MANET in an efficient manner with reduced complexity.
There are different ways of attacking the system as an insider. This
paper presents the different ways of attacking the system as insider and
solution for prevail over the attackers. The security breaches of the
attacks are studied carefully and to protect and recover the system from
the malicious nodes through spatial connectors and Kirchhoff matrix
along with strong cryptographic techniques is presented. |
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Title: |
Intelligent water
drop algorithm powered by tabu search to achieve near optimal solution
for grid scheduling |
Author (s): |
D.
Thilagavathi, M.C.A. and Antony Selvadoss Thanamani |
Abstract: |
Grid computing is a network of computer resources where every resources
are shared, turning a computer network into a powerful super computers.
In which, Grid Scheduling is a non linear multi-objective problem. In
this paper, intelligent water drop algorithm is hybridized with Tabu
Search algorithm to solve scheduling problem in computational grid. The
proposed algorithm named EIWD-TS is a meta-heuristic algorithm based on
swarm intelligence. The optimization objective of this research is to
find the near optimal solution considering multiple objectives namely
makespan, slowdown ratio, failure rate and resource utilization of grid
scheduling. The result of the proposed model of this paper is tested
with PSA (Parameter Sweep Application) dataset and the results are
compared with Risky-MinMin (RMM), Preemptive-MinMin (PMM), Particle
Swarm Optimization (PSO) and IWD. Experimental evaluation shows that the
EIWD-TS algorithm has good convergence property and better in quality of
solution than other algorithms reported in recent literature. |
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Title: |
Io
workload characterization of windows based analysis using birch
algorithm |
Author (s): |
N.Krishnamoorthi and
G.K. Kamalam |
Abstract: |
The analyse of the windows based Input and Output
workload is driven by various trace captured from running systems for
various standard file system benchmarks. To find that many of the issues
arise in SSD design appeared in the memory stack. To solving these
difficult problems, there is considerable scope for design choice. The
following issues are relevant to SSD performance are Data placement,
Parallelism, Write Ordering, Workload Management. As SSDs increase in
complexity and existing disk models will become incomplete for
predicting performance. To specify the random write performance and disk
lifetime will vary significantly due to the locality of disk write
operations. To introduce a new model for characterizing this behaviour
based on cleaning efficiency and suggest a new partition based
algorithms for extending SSD lifetime. IO workload characterization has
been a critical issue for operating system and storage community. One
critical method is used for hot-data identification, in which a given
logical block address (LBA) is verified to see if it contains frequently
accessed data. Hot-data identification for flash-memory storage systems
not only imposes great impacts on flash-memory garbage collection but
also strongly affects the performance of flash-memory access and its
life time. The advancement of NAND-based storage devices, which bear
different physical characteristics from hard-disk-based storage devices,
calls for an entirely new way of characterizing IO workloads. To revisit
the issue of understanding and identifying the essential constituents of
modern IO workloads from the viewpoint of the emerging NAND based
storage device. |
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Title: |
Authentication of classes of tulsi leaf for the extraction of medicinal
qualities using image processing technique |
Author (s): |
Vijayashree.T
and
A.Gopal |
Abstract: |
Leaf plays a major role in plant species. There are
certain leaves which have medicinal qualities. Identification of leaf
with look-alike is becoming a major task in day to day life. In order to
overcome that computer vision technique is used which includes image
processing algorithm. In this technique the features and texture of the
leaf are extracted and the closest match is taken and identified to
which class it belongs to. This paper deals with the algorithm of
morphological processing to which the signature parameter is considered
as the vein. Morphological processing includes structuring element which
is a process of dilation and erosion. Authenticating an image with its
signature parameter will be the most efficient method of identification
to give highest accuracy than other methods. |
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Title: |
Handoff
performance service availability improvements in
mimo enabled
communication based traincontrol system |
Author (s): |
Vinoth.V
and Jeswin Glasdis Brindha. C |
Abstract: |
Correspondence based controlling system in
the train is a computerized framework which assures the automated
process for handling the information. Two remote trains correspondence
is utilized here to swap the information in the middle of trains and
wayside supplies. Remote neighborhood (WLAN) built CBTC has sway with
respect to prepare control execution while taking handoff choices. In
this paper, we can plan the Handoff choice approach by in light of the
RSSI esteem. The quality of the sign got by every AP (Access Point) is
utilized as the metric to choose when to Hand off the signal. |
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Title: |
Resource
allocation for ofdma based cognitive radio system using joint overlay
and underlay spectrum access mechanism |
Author (s): |
K.R.
Shanthy M.E, M. Suganthi and S. Kumaran |
Abstract: |
In this paper, we propose an optimal scheme for
subcarrier and power allocation in a orthogonal frequency division
multiple access (OFDMA) based cognitive radio system. Here we consider
subcarrier and power allocation for both underlay and overlay spectrum
access mechanism. So this is called joint underlay and overlay spectrum
access mechanism (JOUSAM). As such, for a given power budget, the total
transmission rate of the CR users is maximized, whereas the interference
introduced to the PUs’ receiver is kept below the given limits with
certain probability. We propose an optimal
power-and-subcarrier-allocation scheme for an OFDMA-based CR system with
a JOUSAM. As the complexity of the optimal power
and-subcarrier-allocation scheme can be high, we propose a
low-complexity suboptimal power-allocation scheme. Presented numerical
results demonstrate that, for given interference constraints, a
significant improvement in the transmission rate is achieved with the
JOUSAM, as compared with either the OSAM or the USAM. Selected
simulation results also show that the fairness performance in terms of
data rate sharing of the individual CR user for the optimal algorithm
can be poor. Therefore, we finally propose a suboptimal
subcarrier-allocation algorithm that can improve the fairness
performance. |
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Title: |
Supervised methods for domain classification of Tamil documents |
Author (s): |
Reshma U,
Barathi Ganesh H B, Anand Kumar M and Soman K P |
Abstract: |
The Era of digitization induces the need of
domainclassification in both the on-line and off-line applications. The
necessity of automatic text classification arises for utilizing it in
diverse fields. Hence various methodologies like Machine
Learningalgorithms were proposed to do the same. Here automatic document
classification of Tamil documents have been proposed by considering the
exponential growth of Tamil text documents in the form of unstructured
data available as News, Encyclopedias, E-books, E-Governance, Social
Media and much more. Max-Ent, CRF and SVM algorithms are used here to
achieve more than 90 percentage average accuracy in both the sentence
and document level classification of Tamil text documents. In this work
Dinakarannewspaper dataset from EMILLE/CIIL Corpus has been utilized to
experiment the ability of Machine Learning algorithms in Tamil domain
classification. |
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Title: |
Low complexity arithmetic mean decomposition based pre-coding for
mimo
systems and its
fpga implementation |
Author (s): |
Bharani
dharan N, Chinna thambi M and Rajaram S |
Abstract: |
This paper presents the novel approach for pre-coding in
multiple input and multiple output systems using arithmetic mean
decomposition. This proposed decomposition scheme has low complexity
than popular geometric mean decomposition. CORDIC based Givens rotation
is used for making the channel matrix as bi-diagonal matrix and then 2x2
singular value decomposition and 2x2 arithmetic mean decomposition
operations are performed recursively on the bi-diagonal matrix. As a
result upper triangular matrix with equal diagonal elements whose value
equal to their arithmetic mean is achieved. The total system is
implemented in Xilinx virtex-7 FPGA and accuracy analysis is also made. |
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Title: |
Application of renewable energy constant current source in the formation
of uniform surfaced V2o5 nanobelts |
Author (s): |
Josephine R L, Suja S
and Dhayal Raj A |
Abstract: |
Constant and continuous power is a major
problem faced by the young researchers. Though many uninterrupted power
supplies (UPS) exists to back up, the problem of power fluctuation
during the synthesis has a very predominant effect in the synthesis of
Nanomaterials. Herein a renewable energy-constant current source
incorporating solar and wind energy has been applied for the preparation
of uniform and smooth surfaced V2O5 nanobelts by
simple hydrothermal method. The prepared nanobelts have been
characterized by SEM, XRD, FTIR and TGA. The SEM images show that these
nanobelts are with highly uniform surface and of length around 5µm. The
XRD pattern shows the high crystalline nature of the prepared nanobelts.
The material confirmation of the prepared samples was carried out using
FTIR analysis which proved that the resulting nanobelts are vanadium
pentoxide. V2O5 nanobelts are used as applications
in the field of desalination, microelectronics, optoelectronics,
sensors, lithium batteries, etc. Hence the resulting nanobelts proved to
be successful outcome of material science and renewable technology. |
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Title: |
Design and simulation of fused Luo converter |
Author (s): |
R.Sujatha, M.
Chilambarasan and M. Ramesh Babu |
Abstract: |
Among the available renewable energy resources, the wind
and photo voltaic energy is being widely utilized because of their
abundance and sustainability to generate electricity. In this paper, a
new hybrid integrated topology, fed by AC supply and solar energy system
is configured using Positive output Luo converter and negative output
Luo converter. This configuration allows the two sources to supply the
load separately or simultaneously together (Hybrid) depending on the
availability of the energy sources. The main purpose of this hybrid is
to meet our daily demand effectively and to get an uninterrupted power
supply. By combining these two intermittent sources, the system’s power
transfer efficiency and reliability can be improved significantly. Due
to the inherent nature of this multi input converter, additional filters
are not necessary to filter out high frequency harmonics and hence an
enhanced output voltage with less ripples is obtained. Simulation
results are given to highlight the merits of the proposed circuit. |
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Title: |
Integrated all-optical or logic gate using constructive beam
interference in 2D photonic crystal |
Author (s): |
S. Spartagus and S.
Ponmalar |
Abstract: |
This paper deals with the compact and high
speed OR logic gate design in 2D photonic crystals with size of 77 µm2.
To realize this, silicon rod based triangular lattice photonic crystal
structure with refractive index 3.4, lattice constant 540nm and rod
radius 100 nm is considered. Constructive beam interference effect plays
a vital role in OR logic operation of the structure. The band analysis
and the transmittance characteristics are analyzed using plane wave
expansion and finite difference in time domain methods respectively.
Photonic logic with high speed and compact structure offers the building
block of future photonic integrated circuits. |
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Title: |
Mobile attendance management and employee registration |
Author (s): |
S.P.
Avinaash Ram and J. Albert Mayan |
Abstract: |
Staff attendance management and
employee registration is a mobile application which can be used by the
staffs to login their attendance through mobile phone and track other
staffs location through mobile phone. Manual registration in biometric
systems and entering in the attendance catalogues in different physical
locations is the current system used in all the colleges.
The staff will get updates
regarding their attendance regularly from the admin as they login and
log out so that they can keep a track on their attendance by using this
application. |
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Title: |
A
novel method for reducing number of computation in 2d-dct |
Author (s): |
K.K.Senthilkumar,
R.Seshasayanan and D. Gayathri |
Abstract: |
The DCT performs very important role in the application
of lossy compression for representing the pixel values of an image using
lesser number of coefficients. Recently, many algorithms have been
devised to compute DCT. In the initial stage of image compression, the
image is generally subdivided into smaller sub-blocks and then these
sub-blocks are applied to DCT. In this paper we have presented a novel
method for DCT computation to reduce the number of computations based on
the difference between the pixel values of adjacent rows. The DCT
computations for second row are replaced by first row DCT computations
when all the pixel values of second row are having very less difference
from the first row pixels. In this way a larger number of computations
are reduced. The method is verified with various high and less
correlated images and the result shows that image quality is not much
affected even though 4 bits per pixel are considered for row comparison.
The correlation between the pixels of two rows is calculated by fixing a
threshold value which depends on the elimination of number of bits used
for row pixel comparison. The simulation results shows that the
proposed DCT method reduces the Number of computations by 50.02 % for
highly correlated images and reduces 23.63 % for less correlated images
without much affecting the image quality. |
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Title: |
Broker based QoS
centric resource provisioning framework with financial options |
Author (s): |
Sahar
Arshad, Saeed Ullah, Shoab Ahmed Khan, M. Daud Awan and M. Sikandar
Hayat Khayal |
Abstract: |
Cloud computing has grasped the attention of scientific community and
business industry towards the provisioning of computing resources as a
utility and software as a service over a network. Access to software or
hardware resources are seamless to cloud consumers in a way that
provider of the service could be anywhere in the world by providing
services in nebulous cloud. Most of the research studies have focused on
the benefits associated with single cloud provider by provisioning and
managing resources at provider’s end. This has led to the problems
associated with pricing and quality of the services that cloud provider
guarantees in SLA to their consumers. To tackle this issue, financial
options theory in cloud computing economics has been introduced in the
recent past where options can be bought in advance so that these may be
utilized when required. However, QoS factors, that are vital for a cloud
provider in order to accommodate cloud consumer trust, are not yet been
addressed. We propose a federated cloud resource provisioning framework
based on financial options theory to address the issue of job denial
during peaks by leasing spare capacity from other cloud providers as
well as satisfying cost and QoS requirements. We assess cloud providers
based on the services they provide and best-fit selection is made while
purchasing options to meet service level objectives. Also the issue of
VM placement across multiple clouds is addressed to provide a resource
sharing platform where the objectives of avoiding resource rejection and
efficient service level agreement management are incorporated in the
proposed framework. Using CloudSim simulator, various workloads were
used to test our proposed framework. Results indicate that our broker
based cloud federation framework provides a win-win scenario for both
cloud providers and consumers by avoiding job denial and achieving
better SLA management and resource utilization. |
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Title: |
Design and analysis of s-shaped microstrip patch antenna for
gps
application |
Author (s): |
D.Preetha, L.Ashokkumar,
R.Logapriya and I.Hemushree |
Abstract: |
Microstrip antennas are relatively
inexpensive to manufacture and design because of the simple 2D
(2-Dimentional) physical geometry. They are usually designed to operate
at UHF and higher frequencies because the size of the antenna is
directly tied to the wavelength at resonance frequency. In this paper, a
S-shaped patch antenna array is designed for GPS application. The
antenna array is designed to enhance the overall performance
characteristics of a radiating system at 1.6 GHz. Simulation models are
developed for S-patch antenna and S-patch antenna array using High
Frequency Structure Simulator (HFSS). Finally, a comparison among the
developed simulation models is performed and conclusions are extracted.
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Title: |
Design of compact coupled line wide band power divider with open stub |
Author (s): |
S.C. Siva
Prakash, M.Pavithra M.E and A.Sivanantharaja |
Abstract: |
A generalized coupled line power divider
structure is proposed here for a wide band operation. The proposed
design which consists of four coupled line makes the power divider to
operate in wide band with better isolation. This coupled line structure
is analyzed with odd mode and even mode impedance characteristics and
contains two lumped resistors for providing isolation between the
coupled lines. This structure also contains open stubs for improving the
operation bandwidth. The proposed compact 3dB power divider has 50% area
reduction while comparing it to the previous dual band coupled line
power divider structure. Comparing the previous dual band structure, the
proposed power divider has better isolation bandwidth and insertion
loss. By using the basic Wilkinson power divider design equations, the
new design of coupled line structure is proposed and designed to operate
in wide band range 0.8-2.8 GHz. |
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Title: |
Abnormal gait classification using silhouettes |
Author (s): |
S.M.H. Sithi Shameem
Fathima and R.S.D. Wahida Banu |
Abstract: |
This paper proposes a new methodology to classify the
person with normal walk or abnormal walk for surveillance purposes.
Recognizing human walk is emerging as a critically important biometrics,
challenging computer vision problem. However, the inclusion of abnormal
gait dataset with normal gait databases has to be very useful to
classify the normal and abnormal walking style of a person. The
silhouettes are trained and tested with K nearest neighbor classifier.
We introduce a more challenging abnormal walk patterns like Antalgic
gait, Charlie chaplin gait, steppage gait, scissor gait, circumduction
gait, inclusive with normal gait data base. The database consists of
about 5000 frames with 5 different walk styles. Manual selection of
persons with different walking styles resulted in high degree of
variability in pose and illumination. The method starts with the
extraction of human silhouettes from input videos. Initially the
continuous input videos are converted into frame-by-frame by means of
conversion algorithm. Each frame consists of noises and shadows. Then
silhouettes are removed from noises and discontinuities to produce an
abnormal gait database. From the gait data base, parameters are measured
by segmenting into six portions from head to neck, neck to torso, hip to
knee of both right and left leg, knee to toe of both legs, height of the
blob and width has also taken as features for training. The same
features extracted with test data has to be compared with trained data
for classification. The proposed methodology achieves 77% classification
rate for abnormal gait. |
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Title: |
Effectiveness of wavelet families for power quality event quantization |
Author (s): |
Manoj Arun. S and
M. K. Elango |
Abstract: |
Wavelet Packet Transform technique is used
to estimate the Power Quality Disturbances. This paper exploits the
usage of diversified kinds of wavelet families for Wavelet Transform,
which can be potentially employed in quantizing the Power Quality
Disturbances with accurate precision. The detection process is carried
from the energy content of the transformed signals. Different wavelets
viz Symlets, coiflet wavelets, biorthogonal wavelets and Daubechius
wavelets are developed for detection. These wavelets are simulated and
studied under the MATLAB environment. The result clearly shows the
intrinsic worth of Daubechius and biorthogonal wavelets over the other
wavelets taken into concern. |
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Title: |
Dual tree complex
wavelet transform based image compression using thresholding |
Author (s): |
K.
Indiradevi and R. Shanmugalakshmi |
Abstract: |
Large size images consist of multiple
bands data which occupies large space. Image compression becomes
important for such large image or data’s to reduce the bandwidth in
transmission over a network and in storage space. Wavelet transform is
an efficient tool with some limitations for various image processing
applications. And these limitations are overcome by complex wavelet
transform. In this paper dual tree complex wavelet transform is
implemented based on arithmetic encoding algorithm. Dual tree complex
wavelet transform (DTCWT) brings wavelet co-efficient nearer to zero.
Also thresholding generates more zeros to yield higher compression ratio
for an image compression with high quality image. Arithmetic coding
algorithm is employed in this proposed method to improve compression
ratio for compression of an image or data. The proposed method is
implemented in MATLAB and the experimental result is compared with DCT
Arithmetic and Huffman coding. The proposed method yields compression
ratio of 3.6312 which is 33% and 24.03% higher than DCT using Arithmetic
and Huffman coding respectively. |
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Title: |
Low power ternary shift register using
cntfets |
Author (s): |
V. Sridevi |
Abstract: |
In the last few decades, interest in multivalued logic
has grown rapidly due to its potential advantages over binary logic for
designing energy efficient digital systems. In this paper, a ternary D
flip flop with preset and clear inputs is designed using Carbon Nanotube
Field Effect Transistor based ternary logic gates. The chiralities of
the carbon nanotubes (CNT) used for constructing CNTFET based ternary
logic circuits are (19, 0), (13, 0) and (10, 0) of diameters 1.487nm,
0.783nm and 1.018nm with threshold voltages of
0.293V,
0.428V and 0.557V
respectively. The designed ternary D flip flop is used as basic building
gate for constructing serial in and serial out (SISO) shift registers
with improved design and energy efficiency. Finally simulation results
using Hspice simulator are reported to show that the proposed CNTFET
ternary logic circuits consume significantly less power with
considerable reductions in power delay product as compared to
conventional binary logic circuits. |
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Title: |
Polymer modified bitumen prepared using abs polymer- characterization
and application in flexible pavement |
Author (s): |
A. Ramalinga Chandra
Sekar, M. Mahendran, R.Vasudevan and R. Velkennedy |
Abstract: |
The modification of bitumen using polymers in road paving
applications is gaining momentum day to day over the past few years. The
need for the modification is raised due to the need in the improved
performance of the flexible pavements. Developing countries like India
whose transportation mainly depends upon the road, need a vast research
in this field. Presently the commonly used modifier for the modification
of bitumen is the styrene butadiene styrene polymer which is elastomeric
in nature. Polymers like styrene butadiene rubber, natural rubber and
CRMB are also used for the modification of bitumen. Many scientists are
experimenting on the use of waste polymers for the bitumen modification.
The present paper is to study the modification of the bitumen using an
elastomeric polymer Acrylo Nitrile Butadiene Styrene. Samples of ABS
modified bitumen were prepared by mixing different percentages of ABS
with neat bitumen of PG 80/100. The prepared PMB was subjected to
various studies starting from empirical tests, Infra Red Spectroscopy
and the thermal analysis. The results of IR investigations indicate that
the mixed ABS modifies the chemical nature of the bitumen chain with
some increased butadiene concentration in the mix. The nitrile group
present in ABS also alters the structure of the bitumen mix. The thermal
investigation indicates the various distinct decomposition stages of the
modified bitumen and it shows an increase in the thermal stability of
the polymer modified bitumen. The ageing characteristics of the modified
bitumen were also studied and the results obtained are discussed in this
research paper. The polymer modified bitumen aggregate mix was also
prepared to study the mix properties. Properties like stripping test and
extraction test was carried to study the binding nature of ABS PMB with
the aggregate. The stability nature of the mix was carried using the
Marshal Stability test and the voids parameters were also measured. The
results obtained shows improved characteristics of the mix properties.
With the results obtained for the ABS PMB and its mix shows that the
prepared sample can be very well used for flexible pavement
applications. |
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Title: |
Proposals for determining the impact energy at bus rollover for
conditions of unece №66 |
Author (s): |
Kalmikov
B.Yu., Ovchnnikov N.A., Kalmikova O.M, Jigulskii V.I. and Yurshin Yu.G. |
Abstract: |
Reducing the total impact energy bus is possible due to reduction of the
mass of the bus, the acceleration of free fall or drop height of center
of gravity. The most promising at the moment is to reduce the height of
the fall of the center of gravity of the bus. To reduce the height of
the fall is possible to use the author's device to prevent a rollover
accident. This paper proposes a method for determining the total impact
energy bus rollover bus. The method is applicable to conditions
determined by the UNECE Regulation № 66, intended for the certification
of passenger motor vehicles of category M3, taking into account the
possible application of the device to prevent tipping. |
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Title: |
Study of soft soil reinforcement using hybrid Pile-pvd |
Author (s): |
Y. Sandyutama, L.
Samang, A. M. Imran and T. Harianto |
Abstract: |
Recently due to the high demand of
construction road need the construction in short period. The problem of
construction on soft clay is the low bearing capacity and total as well
as differential settlements. Therefore, innovation in soil improvement
is needed. Soft soil improvement by geotextile and rigid piles is an
interesting method to provide and economic and effective solution, which
reduces settlements, construction time and cost. Full-scale tests were
performed to investigate the performances of Pile-PVD (Hybrid pile),
geotextile reinforcement and conventional pile. This study consisted of
pore water pressure monitoring by piezometer, ground settlement
monitoring by settlement plates and lateral movement by inclinometer.
Preloading with a trial embankment of 4.5 m height was used in this
study. Measurements were taken for each stage of embankment construction
in 3 months. Monitoring results show that Hybrid pile has effectively
increased stability and the time of consolidation. Consolidation
settlements of Hybrid pile were found to be relatively faster compared
to conventional pile reinforcement. |
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Title: |
Model test of road embankment reinforced by inclined pile on soft soil |
Author (s): |
Suheriyatna, L. Samang, M. W. Tjaronge and T. Harianto |
Abstract: |
Indonesia is covered by wide lowland area
which is dominated by soft clay. Particularly, East Kalimantan has
specific conditions where
soft clay is found contaminated with coal.
Road construction on soft soil faces several problems therefore a
various stabilizing method need to apply in the site since the soft soil
has particular characteristic. The local trees (Melalucea Lencadendron
Linn/Galam) are easily found in Kalimantan and have long life if buried
in the swamp. This timber (Galam) is considered can be used as an
alternative material for soil reinforcement. In this study, full scale
test was conducted to observe the effectiveness of micropile (Galam
timber) in reducing the settlement and compared to various condition
(i.e. geotextile reinforcement and without reinforcement). During the
construction stage of preloading, the settlement monitored by using a
settlement plates, lateral displacement monitored by inclinometers and
pore water pressure monitored by piezomenters. Measurements were taken
every day for each embankment construction stage (3 months). A
numerical modeling was conducted in this study in order to validate the
full scale test result. The result shows that the micropile that driven
with the slope of 15 degree found the value of settlement is 400cm. The
micropile distributes the surcharge load to the pile and decrease the
differential settlement. Good agreement of numerical modeling compared
to full-scale test result also found in this study. |
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Title: |
Finite element
analysis of space truss using MATLAB |
Author (s): |
P.
Sangeetha, P. Naveen Kumar and R.Senthil |
Abstract: |
One
of the interesting engineering application is space truss, a three
dimensional element, particularly used as roof for industrial and
commercial structure spanning large distances. Analysis of space truss
can be performed by many commercial FEA software available in the
market. This paper concerns the current growth of MATLAB based program
which analyze the space truss step by step as done in Finite Element
Analysis. Using MATLAB all stages of calculations have been done to
solve the space truss and verify with that of published experimental
data. |
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Title: |
Linearization of
nonlinear beat frequency in FMCW interferometry through waveform
modifying technique |
Author (s): |
Nor
Azlinah Binti Md Lazam, Koichi Iiyama, Takeo Maruyama,Yosuke Kimura and
Nguyen Van T. |
Abstract: |
Frequency-modulated continuous-wave (FMCW) interferometry has become a
more popular technique in recent years and is being widely used in
optical ranging measurements. In an ideal system, the optical frequency
sweep of the laser occurs linearly and periodically in time resulting in
a constant beat frequency in time, in which the information regarding
the distance can be extracted after FFT analysis. However, practically,
linearity in the optical frequency sweep is difficult to obtain, and
this leads to variation of the beat frequency in time. Nonlinear optical
frequency sweep has become a challenging issue in the research topic to
be solved recently. In this report, we proposed a linearization method
by modifying the frequency modulation (FM) waveform through the external
sampling technique to reduce the effect of nonlinear optical frequency
sweep. In this technique, triangle FM sweep is generated and transmitted
through the system and re-sampled by the Analog Digital Converter at the
external sampling rate (temporal sampling). As temporal sampling changed
with time, this resulted in a tiny deterioration in the FM waveform at
the beginning of each ramp. Thus, a pre-distorted FM waveform was
obtained. One period interval of that distorted FM waveform was
extracted and used to reconstruct a new FM waveform signal. This new
constructed signal was later retransmitted to the system as a new FM
sweep signal. The process was repeated until the stability of the beat
frequency was noticeably improved. The proposed linearization method has
been worked out through experimentation, and after the 2nd iteration the
result showed that this method effectively reduced the issue of
nonlinear optical frequency sweep. |
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Title: |
Segmentation of sar images using
fuzzy c means with non local spatial information |
Author (s): |
M. Vimala, R.
Meena Prakash and R. Shantha Selva Kumari |
Abstract: |
The Segmentation
of the
Images refers to extracting the needed region from the image based on
some specified methodologies. Thresholding Approach, Model-based
Approach, Level Set Approach are some of the segmentation methodologies.
The clustering methodologies can provide accurate results for most of
the cases. As the number of clusters separated from the image increases,
the segmentation accuracy also increases. The fuzzy c means is one of
the clustering based methodologies. It has been extensively used for
segmentation of images. Even FCM has some drawback. The main drawback is
that the performance is degraded by noise. This problem can be overcome
by Fuzzy C Means with Non Local spatial Information which can be derived
from the pixels with similar neighborhood configuration to the current
pixels so that impact of Noise level in the Image is reduced.
Experimental results obtained for synthetic and real SAR (Synthetic
Aperture Radar) Images demonstrate the improved robustness and
effectiveness. |
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Title: |
Incremental aggregation model for data stream classification |
Author (s): |
S.Jayanthi and
B.Karthikeyan |
Abstract: |
In online data stream processing, data
stream classification task confronts several challenges such as, concept
drift, concept evolution and partial labeling due to the dynamic nature
of data streams. Amid these issues, concept drift is on the top concern
that degrades the accuracy of data stream classification task,
immediately upon its occurrence. However, concept evolution and partial
labeling are also equally notable plights that are not focused by most
of the existing approaches. Ensemble learning is a widely accepted
prominent method that attempts to reconcile the issues encountering in
the data stream classification. Our previous work addresses only the
different types of concept drifts. This paper expounds a Novel
Incremental Aggregation Model (IAM) which makes use of Adaptive
Probabilistic Neural Network (APNN), Aggregate Weighted Ensemble Model (AWEM)
and Ensemble Cloning that makes the system impeccable by combating
against all the above said issues. The performance of the proposed
algorithm has been experimentally tested with few synthetic data sets.
Experimental results show that our model outperforms the existing
ensemble approaches in terms of accuracy. |
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Title: |
Analysis of different shapes of defected microstrip structure (dms) and
their stop-band performance |
Author (s): |
Vijayakrishnan. J and Ravi Prakash Dwivedi |
Abstract: |
In this paper the study of different shapes of defected
microstrip structure is made with standard 50-ohm transmission line is
perturbed with to generate rejection band at S and C-Band that is
beneficial to higher order harmonic suppression. A comparison of G
shaped, T shaped and Hash shaped Defected microstip structure has been
evaluated and a comparative study is made. |
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Title: |
Enhancing learning experience of e-learners in laboratory courses using
pair programming |
Author (s): |
N. Mohanraj, V. Senthil
Kumaran and A. Sankar |
Abstract: |
Laboratory courses
constitute one of the
core competencies that graduates from information systems discipline are
expected to possess. Laboratory courses in e-learning are just a
curricular formality without bothering about the part played by such
learning experiences. Lot of practice is required for e-learners for
acquiring a good learning experience, for which motivation is an
essential factor. Research has suggested that the lack of a formalised
structure for laboratory courses may be one of the factors responsible
for learners’ negative impressions of e-learning and also for the high
failure rate in e-learning. Ability to work in teams has been
considered one of the most important learning outcomes of the
laboratory courses. This study highlights the importance of laboratory
courses in e-learning and investigates whether the use of pair
programming in laboratory courses would enhance the learning experience
of e-learners. The final objective is to provide new learning
experience to motivate e-learners and present laboratory courses as an
easy and attractive challenge using pair programming. Experiments were
conducted in data structures, problem solving and C programming courses.
Results indicate that the learning experience of both the learners and
teachers were improved in laboratory course and also showed an
improvement in failure rate. |
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