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1 |
Unwanted Messages Filtering On Social Network Walls
S.Mahalakshmi, Mr.S.Raja Ranganathan, Mr.Dr.S.Karthik
Abstract —Web Mining is the application of data mining techniques to extract
knowledge from the web data. According to analysis targets, web mining can be
divided into three different category, which are web usage mining, web content
mining, web structure mining. Today’s modern life is totally based on Internet.
Now a day’s people cannot imagine a life in without internet. On-line Social
Network (OSN) is to give users the ability to control the messages posted on
their own private space to avoid that unwanted content is displayed. To avoid
these issues a flexible rule-based system and Machine Learning based soft
classifier are automatically labeling the messages. In this paper, propose a
user to directly control the message posted on their wall. Aim of the paper is
mainly to provide user a classification mechanism to avoid useless data from
online social network.
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2 |
Optimal Scheduling For Distribution System Using Advanced Metering Infrastructure with Smart Micro Grid
R.Santhoshkumar
,
P.Krishna Gandhi
Abstract—The integration of renewable energy sources and electrical vehicles
(EVs) into micro grids is becoming a popular green approach. Micro grids become
more reliable, stable, and cost-effective. In this paper we propose the optimal
scheduling for distribution system using Microcontroller. Advanced Metering
Infrastructure scheduling to maintain data and Transfer data using zigbee
wireless communication mesh network data to encryption decryption technique
improve secure Data transfer. Reducing electricity consumption effectively
utilized electric power renewable source integrate to distribution systems.
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3 |
Research Methodology Of Kernel Development For Device Driver Platform
Tamilselvan.K, Dr.A.Satheesh
Abstract—GSM is a technology which is widely used all over the world for the
purpose of communication. In our project we use GSM technology and RTOS system
for the purpose of irrigation. The irrigation is carried out at a particular
time interval automatically and also the irrigation time can be postponed
according to our convenience. All these process are done by exchanging the
information between user mobile phone and the GSM unit through SMS .This system
uses 8051 microcontroller which is connected to dc motor, stepper motor and GSM.
Here the quantity of water is measured using the water level indicator and then
it is supplied to the field according to the requirement of different crops
planted in different fields. The water can be diverted to different fields using
the multi way ball valve whose direction is controlled by using the stepper
motor. Here we introduced a RTOS system to increase an operation. Above
operation are implemented in a RT kernel system. Using of Ubuntu operating
system to initialize the commands.
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4 |
Variations Analysis In Face Recognition Using Ssift Model
B.Venkadesan, G.Revathy,A.Perumalraja
Abstract— Automated analysis of human affective behavior has attracted
increasing attention from researchers in psychology, computer science,
linguistics, neuroscience, and related disciplines. Emotion recognition from
facial images is a very active research topic in human computer interaction
(HCI). However most of the previous approaches only focus on the frontal or
nearly frontal view facial images. Person independent and pose invariant facial
emotion classification is important for situation analysis and for automated
video annotation. Shape and its changes are advantageous for these purposes.
Research into facial expression recognition has predominantly been applied to
face images at frontal view only. Some attempts have been made to produce pose
invariant facial expression classifiers. Little work has been carried out to
investigate the intrinsic potential of different poses for facial expression
recognition. This work deals with single facial image to multiview facial
expression recognition. Provide feature vectors to reduce the dimensionality in
facial point’s extraction. Improve the classification accuracy to analyze
expressions. In this paper proposed Sparse space invariant facial transformation
with other algorithms to improve the authentication method for face recognition.
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5 |
Approach for the enhancement of Communication Skills
S.Manimekalai
Abstract-Language “Throughout history, outstanding leaders have been ordinary
People with extraordinary vision and the skills to communicate it” says it…. So,
Man has been using language as a tool of communication for centuries. It has
enabled him to interact with the environment and regulate his social behavior.
Though there are a number of means of communication, language is the most widely
used instrument. Man communicates through a sophisticated system of symbols.
Language is one of the most prized possessions of man. It act as a repository of
wisdom, a propeller for the advancement of knowledge and a telescope to view the
vision of the future. Though human society has progressed with remarkable speed,
the use of language for communication is still not free from ignorance,
prejudice and superstition.
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6 |
Implementation of Controlling Device Based on Thermo Actuation Using COMSOL4.3
Vinay Y. Jadhav, Sachin S. Kulkarni,Veeresh P. M.
Abstract -Thermo actuation is a technique in which mechanical displacement is
achieved using thermal expansion of a material by the application of an
electrical voltage to the material. Thermal actuators are considered as one of
the most important MEMS device which has an immense application in switching and
positioning activity. Several applications such as electro-optical
communication, micro-assembly, and measurement of mechanical properties of
materials, data storage and micro tools use this MEMS device. This paper
proposes 3D design of thermo elastic micro-actuator with two-level cascaded bent
beams using Solid Works tool and thermo-electro-mechanical analysis is performed
using COMSOL4.3. This device produces larger forces and displacement compared to
other MEMS devices. The TEM analysis of the model is subsequently carried out
with applied electrical voltage and variations in displacement and temperature
are observed.
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7 |
Speaker Identification System Using DSP Processor TMS320C6713
Aditya Pulekar, Tushar Patil, Rahul Kale
Abstract-This paper proposes a speaker identification system wherein the
features of the speech signal are extra-cted using Mel Frequency Coefficients
and the speaker is verified using the Dynamic Time Warping (DTW) algorithm. The
results obtained are very accurate and satisfactory. The system stores the
features (i.e. Mel Frequency Coefficents) of the speaker in the template during
the training phase. In the testing phase, the user gives a run-time input to the
system, on which, the system matches the features of the user with those in the
template. The decision regarding the identity of the user is then made using the
Dynmic Time Warping (DTW) algorithm.
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8 |
Advanced Automatic Detection of Malaria Parasite in Blood Images Using Image Analysis based system
Mr.Ranjeet R. Suryawanshi, Mr.Arjun R. Nichal
Abstract-Malaria is a serious disease and this disease requires rapid and
accurate diagnosis.The system proposed here can be used for rapid and accurate
diagnosis of malaria. It is fully automated image classification system to
positively identify malaria parasites present in thin blood smears, and
differentiate the species. The biggest detraction of microscopy, namely its
dependence on the skill, experience and motivation of a human technician, is to
be removed. Used with an automated digital microscope, which would allow entire
slides to be examined, it would allow the system to make diagnoses with a high
degree of certainty. It would also constitute a diagnostic aid for the
increasing number of cases of imported malaria in traditionally malaria-free
areas, where practitioners lack experience of the disease. The algorithm
generated will be helpful in the area where the expert in microscopic analysis
may not be available. The effort of the algorithm is to detect presence of
parasite at any stage. One of the parasites grows in body for 7 to 8 days
without any symptoms. So if this algorithm is incorporated in routine tests, the
presence of malaria parasite can be detected. Various algorithms like SUSAN,
Component Labelling etc. are used for operations like Edge Detection,
Segmentation, Feature Extraction, Noise Reduction etc
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9 |
Co2 emission controll in vehicle
Using pcm with lithium battery
S.Benisha, G.Ramani
Abstract-This paper proposes an advanced technique which helps to control the
CO2 emission in a vehicle by a module names Powertrain Control Module (PCM)
located in the engine compartment. The PCM is the control centre of the vehicle
which mainly designed to maintain exhaust emission levels which maintains
excellent driveability and fuel efficiency. In addition to the PCM module the
lithium battery is smaller size and lighter weight, which deliver performance
that helps to protect the environment with improved charge efficiency without
memory effect with lower exhaust emissions to reduces the polluted air and their
by prevent the global warming. ARM 7 can be used here for the whole controlling
and processing operation to be performed. The PCM can recognize operational
problems and alert the driver via the malfunction indicator lamp (MIL). When the
PCM detects a fault, the it stores a problem loaded code and then it can be
changed.The problem area is identified by the particular DTC that is set.
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10 |
A Survey on Induction Motor Drive Using
Direct Flux and Torque Control
K.Madumathi, M. Vijayaraghavan, M. Porkodir, Dr. S. Saravanan
Abstract─This paper presents about the direct control techniques which is used
to control the electric drives. The direct control strategy that has been used
in this paper is (DTC) Direct Flux and Torque Control. DTC is a direct method of
controlling the stator side or the rotor side flux and torque. In this paper DTC
is implied on a three phase Induction Motor drive (IMD).This approach has been
examined with the help of PI controller and (FLC) Fuzzy Logic Controller. This
proposed method has been simulated with the help of MATLAB software.
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11 |
Need Of Quality Improvement In Technical Education
Dr. Rohit Manjule, Mr. Prashant Tungar
Abstract -Technical education has seen a
significant jump in terms of number of
institutions and intake of students. As
compared to 570 degree-level technical
institutes ten years back, there are more than
2000 engineering colleges at present. While in
1998 the total intake of engineering institutions
was 1.3 lakh, it has grown to around.5.0 lakhs
in 2010. The last five years have seen the
establishment of two Indian Institute of
Technology (IIT, Roorkee, Guwahati) the
Indian Institute of Information Technology
(Allahabad) and the Indian Institute of
Information Technology and Management
(Gwalior). Constant updating of knowledge is
imperative for maintaining high quality of
research and teaching in technical areas, India
is known the world over for its enormous
technical manpower. Yet there is a need to
constantly adapt improvement in technical
education to the changing technological and
financial scenario and also to make it
competitive in terms of quality.
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12 |
Identification of Fetus ECG from Composite ECG
by Equalizer and Artificial Intelligence
Sachin S. Kulkarni1 , Vinay Y. Jadhav
Abstract-In this paper, Fetus ECG is extracted from the
composite electrocardiogram (CECG) using artificial intelligence
technique called Adaptive Neuro Fuzzy Inference Systems
(ANFIS) and Equalizers is proposed. Here, we investigate the use
of ANFIS for fetal electrocardiogram (FECG) extraction from
two ECG signals recorded at the thoracic and abdominal areas of
the mother’s skin. The thoracic ECG is assumed to be almost
completely maternal (MECG) while the abdominal ECG is
considered to be composite as it contains both the mother’s and
the fetus’ ECG signals. Three methods have been proposed
namely (1) ANFIS (2) ANFIS followed by Equalizer.
Performances of the above methods are compared. For
numerical evaluation, the mean square error (MSE) between denoised
and FECG signal and original FECG signal and Peak
signal to Noise Ratio (PSNR) is used.
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13 |
Improved quality measurement
For distortion images
D.Suguna
, S.Manikandan
Abstract— With the rise of high resolution
monitors and cameras, consumers have
increasing demands concerning the
visual quality of multimedia
applications. Image quality is a
characteristic of an image that measures
the perceived image humiliation.
Imaging systems may establish some
quantity of deformation or artifacts in
the signal, so the quality measurement is
a significant problem. So provide LAF
system is specifically designed for the
perceptual quality prediction of images
or videos. To improve the quality
prediction, objective quality measures
based on Machine Learning (ML) for
human visual system. The LAF
framework is more reliable with the
data measures and can better handle
heteroscedastic preparing information.
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14 |
A Survey of Geo-fencing Algorithm and Implementation for Reporting Service over Mobile Satellite Service Band
Jaimin M. Raval
Abstract— Geo-Fencing can be predefined set of boundaries. A Geo-Fencing is a virtual perimeter for a real-world Geo-graphical area. Geo-Fencing allows an administrator to set up triggers. When a device enters or exits the boundaries defined by the administrator, text message or email alert is sent. In this paper, we gives Overview of Reporting Service and satellite configuration over Mobile Satellite Service (MSS) band. Use the simple polygon algorithm which determining whether terminals are inside or outside of a polygon and automatically alerting you.
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15 |
LZW-BHCDA: LZW compressive sensing based
Bandwidth efficient heterogeneity aware
Cluster based data aggregation protocol
Gurbinder Kaur, Er.Varinderjit Kaur
Abstract— In the application based WSNs situation,
energy and bandwidth of the sensors are valued
resources and essential to consume proficiently. Data
aggregation at the base station by individual nodes
causes flooding of the data which consequences in
maximum power utilization. To diminish this
problem a BHCDA has been proposed which has
improved the performance of the LEACH protocol by
using the inter-cluster based data aggregation. In
BHCDA grouping of nodes has been done on the basis
of the available clustering techniques and grouping of
cluster heads is also done to utilize the features to
inter cluster data aggregation. But BHCDA has
neglected the use of compressive sensing to enhance
the data communication between cluster heads and
sink. To enhance the BHCDA further a LZWBHCDA
protocol has been proposed in this work that
helps to reduce the energy consumption problem and
also aggregates and transmit the data in efficient
manner. In addition, the additive and divisible data
aggregation function has been used by the proposed
technique at cluster heads to minimize the power
consumption and also controls flooding at base
station. The performance evaluation has shown the
effective improvement of the LZW-BHCDA over the
BHCDA.
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16 |
Decision Based Unsymmetric Trimmed Mean Filter for
removal of salt and pepper noise using in image
B.Balaji,K.Balachandra ,T.Lalith Kumar
Abstract—In this paper, we have proposed a new method for
removal of salt and pep per noise from gray scale images. In
this technique when the processing pixel is uncorrupted then it
is left unchanged otherwise the neighbors are checked. When
all the neighbors are corrupted i.e. having values O's or 255's
or both then we go for the mean of the window and the
processing pixel is replaced with this mean value. When some
of the neighbors are corrupted then we go for unsymmetric
trimmed mean value. Simulations are carried out for different
percentage of noise density. Experimental results show that the
proposed algorithm provides better result than the Median
Filter (MF) and its variants in terms of Peak signal to Noise
Ratio (PSNR) and Image Enhancement Factor (IEF).
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17 |
Protection against Low –Rate TCP-Targeted
DoS Attack
Bhupendra Puri Goswami , Prof. Somesh Dewangan ,Shrikant Nirmalkar
Abstract- It has been proven in theory and through
simulations [3, 9] that a low-rate TCP-targeted Denial-of-
Service (DoS) attacks is possible by exploiting the
retransmission timeout (RTO) mechanism of TCP. In
contrast to most DoS attacks, this exploit requires periodic,
low average volume traffic in order to throttle TCP
throughput. Consequently this attack is hard to detect and
prevent, since most DoS detection systems are triggered by
high-rate traffic. For the attack to be successful, the attacker
must inject a short burst of traffic, capable of filling up the
bottleneck buffers, right before the expiration of the
sender’s RTO. This forces the sender’s TCP connections to
timeout with very low throughput. The effectiveness of the
attack depends on the attacker’s synchronization with the
victim’s RTO. Certain commercial systems follow the
guidelines of RFC-2988 [4] (suggesting a minimum RTO of 1
sec), making this synchronization is far from impossible,
while popular operating systems using lower minRTO
values (e.g. Linux) are still vulnerable to an attacker using a
low latency network.
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18 |
IDWDEEC: Improved Distance & Waiting Nodes Based
Enhanced Energy Efficient Clustering Protocol
Rajni Sharma, Er Varinderjit Kaur
Abstract— Heterogeneous Wireless sensor networks
(HWSNs) are getting very popular in real time
applications because of their synthetic intelligence. An
sensor node could be quickly became the intelligent
product by applying the embedding programming.
HWSNs contain many sensor nodes having limited
battery power, which transfer sensed data to the sink
that really needs high power consumption. So
consuming the energy in efficient manner become more
crucial area of research in wireless sensor networks.
Numerous energy efficient methods have been planned
in this respect of getting power efficiency in
heterogeneous sensor environment. However, each
method has its own limitations. Performance of WSNs
declines when the cluster size become high or too low.
Although EDDEEC has shown very significant results
over present WSNs methods but it has neglected the
use of waiting time of sensor node to become CHs. So
might some nodes will not become CHs for a long time
even they have more potential to become CHs. So to
overcome this we have applied a waiting time based
parameter named as . is then total number
of waiting rounds for a given node to become cluster
head. It will produce a an positive value which will
continually increase the T (n) value for a given node to
become CH thus increase the chances to become CH.
So it will produce more optimized cluster heads. To
improve the results further the use of distance between
two cluster heads has also been considered. The
experimental results have shown the significant
improvement of the proposed technique further.
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20 |
Ubiquitous Information Forwarder For Personal Healthcare Data In Big Data Systems
C.Merlinlagnes, Mr.M.B.Prasanthyokesh
Abstract- Pervasive healthcare systems enabled by
information and communication technology (ICT), can
allow the elderly and chronically ill to stay at home while
being constantly monitored. A big data solution is presented
using wearable sensors capable of carrying out continuous
monitoring of the patient at home and alerting the caretaker
when necessary and to forward only pertinent information
to the big data system for analysis. A challenge of such a
solution is the development of context awareness through
the multidimensional, dynamic and nonlinear sensor
readings that have weak correlation with observable human
behaviors and health conditions. To address this challenge,
a wearable sensor system with intelligent data forwarder is
discussed. The forwarder adopts a Hidden Markov Model
(HMM) for human behavior recognition. Locality sensitive
hashing is proposed as an effective mechanism to learn
sensor patterns. The intelligent information forwarder can
provide the remote sensors with context awareness. They
transmit only important information to the big data server
for analysis, when certain behaviors happen and avoid
overwhelming communication and data storage. The
system functions unobtrusively, by giving the user peace of
mind that their safety is being monitored and analyzed.
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21 |
Fortifying flood attacks in
Disruption tolerant networks
Mr.Y.Arockia Raj
Abstract-Disruption Tolerant Networks (DTNs) make use of the
mobility of nodes and the opportunistic contacts among nodes for
data communications. Due to the restriction in network
resources such as contact opportunity and buffer space, DTNs
are susceptible to flood attacks in which attackers send as many
packets or packet replicas as possible to the network, in order to
exhaust the limited network resources. In this paper, we use rate
limiting to defend against flood attacks in DTNs, such that each
node has a boundary over the number of packets that it can
generate in each time interval and a limit over the number of
replicas that it can generate for each packet. We propose a
disseminated scheme to detect if a node has violated its rate
limits. To deal with the challenge that it is difficult to count all
the packets or replicas sent by a node due to lack of
communication transportation, our detection adopts claim-carryand
check: each node itself counts the number of packets or
replicas that it has sent and claims the count to other nodes; the
receiving nodes carry the claims when they travel, and crosscheck
if their carried claims are inconsistent when they contact.
The claim construction uses the pigeonhole principle to
guarantee that an attacker will make inconsistent claims which
may lead to detection. We provide meticulous analysis on the
probability of detection, and evaluate the value and efficiency of
our scheme with extensive trace driven simulations.
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22 |
Review On Image Steganalysis Techniques
Ravneet Kaur, Navroz Kahlon
Abstract-Steganography is the art of hiding a message in
an image and Steganalysis is the virtuosity and discipline
of finding the message that has been hidden by
stegnography. Stegnography is used in copious fields like
authentication, secret communication in military, banking
etc. But nowadays it possess the menace of its use in
scheduling criminal activities [1]. So steganalysis helps to
perceive that certain files that contain embedded data and
it has found its uses in innumerable fields as stegnography
does. Extraction of hidden message can be done with the
help of numerous available techniques like LSB detection,
Support vector matrix, Frequency and spatial domain
features, differential markov etc. Centered on the
pragmatic stegnography technique we can choose the
related steganalysis technique.
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23 |
Biclustering algorithms for
Bilogical data analysis: a survey
K. Sathish kumar, Dr.V. Thiagarasu, M. Ramalingam
Abstract-The traditional clustering algorithms analyse
only the properties of the data samples (the number and
types of the attributes or variables) but not focus on the
components of data such as Data Table, Data Column,
Data Relation etc., which is a major issue that affects the
clustering performance. Several biclustering algorithms
are used in microarray gene expression data which is
important for these algorithms are significantly dependent
on the initial random values, high computational
complexity, computational time, accuracy and speed. In
this survey, attempt has been made to analyse the
microarray gene expression based on biclustering
algorithms such as BiMax, OPSM, CoBi, FBT, CC,
SAMBA and GSO. In this comprehensive survey analyzes
a large number of existing approaches to biclustering and
it classifies them in accordance with the type of biclusters
which is useful to find, the patterns of biclusters that are
discovered and the methods used to perform in the search
and target applications. From the survey it is observed
that the hybrid glow worm swarm optimization technique
has good convergence efficiency and better capability for
upgrading the best approach and helps to overcome the
problems by analysing and focusing the components of
microarray gene expression data.
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24 |
Design of non isolated voltage doubler fed
With sepic converter
V.Dhinesh,T.Premkumar,R.Satheeshkumar,Dr.S.Saravanan
Abstract— The voltage doubler circuit is proposed
using a sepic converter. It is the combination of a boost
converter with a non isolated high step-up converter. As a
solution to distribute a voltage stress of a boost converter,
a sepic-integrated boost (SIB) converter, which provides
an additional step-up gain with the help of an isolated
sepic converter, is proposed. Boost converter is integrated
with SEPIC converter which provides good step-up ratio
and distribute voltage stress. Since the boost converter
and the sepic converter share a boost inductor and a
switch, it has a simple structure. The transformer leakage
inductor alleviates reverse recovery; therefore SIB
converter does not require current snubber for the
diodes.
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25 |
A profile based user customizable privacy preserving
Web search
B.Dhivya, Mr.R.Mahesh, C.Chitra
Abstract -Search enginelike yahoo, google, etc is a tool
to retrieve the information from the web. Information
is stored in to web search engine by means of
clustering. K-means clustering algorithm is used to
store the data.Generally the information stored on the
web search engine can be retrieved by using Click
through Log based method. In this paper we
proposed a profile based method, which consists of
details of the user stored on the proxy server, to
retrieve the information from the web very efficiently
and effectively.Greedy DP and Greedy IL techniques
are used to obtain the result. It improves the runtime
faster. While the user submitting the query to the
search engine, the search engine re-structure the
documents based on ranking method. Feedback
sessions are produced, which consists of user goals in
details, includes both clicked and unclicked URL.
Feedback sessions are mapped into pseudodocuments,
which includes only keywords of user
search goals that are termed into logs, thatconsist of
only clicked URL. Profile based method helps the
user to retrievethe information faster and produces
appropriate results.
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26 |
Implementation of a new very highly secure
Encryption (VHSE) method for secure networks
Tulika Pandey, Prof. Ravi Mohan
Abstract—The importance of the security is higher in existing
data networks than was in older systems because now users
are provided with the systems to fulfil very critical operations
like sharing of confidential and important, banking
transactions which needs high quality protection. Weaknesses
in security architectures allow successful eavesdropping,
message tampering and masquerading attacks to occur, with
disastrous consequences for end users, companies and other
organizations. Encryption is a solution for the issue related to
data security but the encryption cannot consider as necessary
requirement in data communication and one should try to
develop the encryption system very complex so no one can
decipher it and it should not consume lots of hardware and
time to generate cipher exiting systems are no doubt complex
enough but they also requires huge area and significant time.
Proposed work can be a better solution through existing data
security systems are itself an achievement but it can be more
optimised in terms of speed and area, and as speed of
encryption gets high it will improve throughput. Proposed
paper shows a new approach for achieving highly secure and
highly throughput Encryption technique.
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27 |
Underwater Image Quality Enhancement
using new proposed Image De-hazing
Wavelength Compensation (IDWC) method
Soniya shrivastava1, Prof. Ravi Mohan
Abstract-Underwater environments generally cause colour
cast or colour scatter while photography. Colour scatter is due
to haze effects appearing when light reflected from thing
which absorbed or may be scattered several times by particles
of water. This cause lowers the visibility and less contrast of
the image. Colour cast is due to the varying attenuation of
light in various wavelengths, and this is cause underwater
environments bluish. To mention distortion from Colour
scatter and Colour cast, this paper proposes a method to
reconstruct underwater images that which is a combination of
a wavelength compensation and de-hazing algorithm (IDWC).
One has to determine the distance between the objects and the
camera using dark channel prior, then haze effects cause by
Colour scatter can be removed by the de-hazing algorithm.
Next, one has to estimation the photography scene depth using
residual energy ratios for each. According to the attenuation
of every wavelength, reverse compensation conducted to
restore all distortion from Colour cast.
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28 |
Influence of Ontology Approaches in Various
Technologies
K.Poongothai, R.Kamalraj, S.Karthik
Abstract- Ontologies play an important protagonist in
semantic web, internet and other social related
application. Normally ontologies focus on the demand of
high quality of ontology. The ontology is more luxurious
and inefficient of time process. Ontology learning is the
process of assembling the ontologies by the ontology
engineer. Ontology learning is a framework that
proceeds with some of the fields which specified in the
form of ontology import, extraction, pruning,
refinement, and evaluation given by the ontology
engineer. The problem that the ontologies learning
technique deals with the difficulty to retrieve the
knowledge relevant to the interest of the users or
stakeholders. In this survey paper, some of the ontology
techniques can be used in various fields like NLP, Text
Mining, database integration and other fields like
biomedical, medical and web technologies.
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29 |
High performance low leakage body biased full adder
circuit with power gating technique
Vivek Bajpai, Sanaulla Khan , Sobran.S.Dhakad
Abstract—Power dissipation and propagation delay
increases exponentially with technology scaling degrade
the performance of IC. Multi threshold CMOS
technique which is called as Power gating is a wellknown
way to reduce power dissipation but abrupt
transitions of signal from input to output mode
propagation delay degrades the efficiency and speed of
circuit because we used several transistors in the
circuit. An effective technique is proposed here to deal
with reduction of power dissipation under sleep mode
as well as active mode and increase the performance of
the circuit. For that an additional body basing is added
in the circuit to reduce power dissipation and increase
the performance by upgrade the speed of circuit.
Proposed high performance low leakage body bias
circuit technique is used. A comparison between
existing techniques is done on 45 nm technology node
which shows that the proposed technique reduces
power dissipation 40% from conventional power gating
and 19% from tri-mode MTCMOS and proposed
technique reduced propagation delay is 60.6% from
conventional power gating and 75% from tri-mode
MTCMOS .
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30 |
Grid Computing
Sangita Mohite
Abstract—basically greed computing is the modified version of
distributed system. In a basic grid computing system, every
computer can access the resources of every other computer
belonging to the network. A scientist studying proteins logs into a
computer and uses an entire network of computers to analyse
data. A businessman accesses his company's network through a
PDA in order to forecast the future of a particular stock. An
Army official accesses and coordinates computer resources on
three different military networks to formulate a battle strategy.
All of these scenarios have one thing in common: They rely on a
concept called grid computing. The goal is to create the illusion
of a simple yet large and powerful self managing virtual
computer out of large collection of connected heterogeneous
system sharing various combinations of resources.
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31 |
Rapid Wall Technology
Ramesh M. Kapse, Prof.Mayura M. Yeole
Abstract—The construction industry must
seek new technologies to lower costs and to gain
a competitive advantage in changing business
environment. The main objective during any
construction project is to deliver quality
product in a timely, cost effective, and safe
manner. The world construction companies are
competing to transform their attitude from
using the conventional construction, to the
prefabricated technologies, which providing the
high quality of the final product and high
productivity to get higher profitability. The
governments should look for technologies that
solve the homes deficits, energy consumption,
high valuable natural resources depletion, high
wastages in money, time, building materials
&labour demand. The above mentioned aspects
are provided by rapid wall technology which is
making these goals guaranteed. Gypsum, glass
fiber and additives is the main raw material
which is natural and abundant resource. Rapid
wall is considered to be a good solution to get
homes at affordable cost and short time.
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32 |
Image enhancement analysis in
Vectored value images
R.Senthamilselvi
, S.Vidivelli
Abstract—In this paper proposed a new approach
emphasizing the geometric correlation between
channels by considering the degree of parallelism
between the level sets of each channel. Align their
gradient which leads to processing applications like
denoising or demosaicking of color images. This
correlation leads to parallel level sets and hence to
similar structures. It is stand on the detail that the
belonging of an infrared range image is similar to that
of red channel in a visible range color image. This
method analyzes the image details, which are
frequently, be located in in dark area and not visible
well in the noticeable range picture, directly
beginning the red channel of the given picture.
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33 |
Investigation on various anonymous
Routing protocols in MANET
Indhurekha.S, Kala.I, Dr Karthik.S
Abstract—Mobile adhoc network is a network (MANET)
which consists of set of mobile nodes communicating with each
other without having any base station. The main feature of a
mobile ad-hoc network is it has no fixed infrastructure, and
because of mobile nodes the topology will be dynamically
changing, which is smooth to malicious traffic analysis.
Adversaries, if allowed to trace network routes and then the
secret operations may be affected. So anonymity is needed, to
avoid all these attacks. Providing anonymity to the routes, source
and destination is a one of the important factor. This paper
poses challenging constraints on anonymous MANET routing
and data security. To tackle the new challenges, some anonymous
routing schemes have been proposed newly. And the result shows
that some of the anonymous routing protocol satisfies the
requirement of network in different manner.
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34 |
Performance and analysis of low power error
resilient MIMO detectors
S.Sobana, S.P.Prabu
Abstract—In a broadband MIMO-OFDM wireless
communication system large portion of chip areas are occupied
by the embedded buffering memories and they consume a
significant amount of power. Increase in number of transmit and
receive antennas increases the system bandwidth. the proposed
error resilient K-best MIMO detector for the 4 × 4 64-QAM
system achieves the better power consumption and throughput
compared to the conventional K-best MIMO detectors. The
proposed system is designed using verilog HDL, simulated using
modelsim and synthesised using Xilinx project navigator
software. The results shows that the number of slices & LUT
(look up tables) needed for this error resilient K-best MIMO
detector is reduced when compared with the conventional k-best
MIMO detectors.
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35 |
A Review on Low Power Pulse Triggered
Flip-Flops
Arthi C K , Nagarajan P
Abstract—Low power flip-flops are crucial for the design of
low power digital systems. In this paper we survey a set of
flip-flops designed for low power. Pulse triggered flip-flops
are widely used in high-speed applications. Its simple
structure paves way for power consumption. Our analysis
is mainly focused on explicit pulse triggered flip-flops.
Power consumption due to the logical separation from
latch can effectively be reduced if one pulse generator
shares a group of flip-flops. We highlight the basic features
of these flip-flops and provide a comparison based on the
power consumption and other metrics.
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36 |
FAHP and FMPDM Technique Using
MANET for Improving Energy Efficiency
In Cluster Head Selection
R.Aiyshwariya Devi
Abstract—Clustering is one of the important methods for
prolonging the network lifetime in Mobile AD Hoc
Networks. It involves grouping of nodes into clusters and
electing cluster heads (CHs) for all the clusters.CHs collect
the data from respective cluster’s nodes and forward the
aggregated data to main node. A major challenge in
MANET is to select appropriate cluster heads. In this
paper, a novel fuzzy multiple criteria decision making
approach, which is based on hierarchical fuzzy integral
(FAHP) and Fuzzy multiple parameter decision-making
(FMPDM) is introduced to optimize the selection of
cluster heads to develop a distributed energy-efficient
clustering algorithm. In FAHP, Single parameter is taken
into account simultaneously as the main factors that can
influence the selection of cluster heads while each factor
contains some sub-criteria. The main Problems with single
criteria are mostly based on residual energy. Doesn’t
consider other information, like location of nodes, number
of neighbor nodes etc. So normal nodes consumes more
energy to send their data to CHs. So Fuzzy multiple
parameter decision-making (FMPDM) approach is used to
select CHs using three criteria including residual energy,
number of neighbors, the distance from the main nodes
and location. The simulation results demonstrate that this
approach is more effective in maximizing the connectivity
within each cluster and also localizing high intensity traffic
within a cluster.
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37 |
A Survey On Various Opinion Mining Approaches
S. Kavitha , K.Sangeetha , S.Karthik
Abstract—Nowadays online users are increasing day
by day. They also interested in sharing their views
and feelings through the social network like face
book, twitter and so on. Online reviews are available
for a product or a service. Recent research is based
on the online review for analyzing the sentiments.
One of the main problems is finding the aspects in
evaluating the reviews. The other problem is that to
identify the aspects according to the sentiments.
Through the ratings it can be identified whether the
product is good or bad, but all the aspects are not
considered. For example the digital camera can have
the good clarity but battery consumption may not be
satisfied.
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38 |
A Survey On Image Contrast Enhancement Method For Atmospheric Turbulence Mitigation
M. Pavithra Devi, T. Maragatham, S.Karthik
Abstract—A habitual problem for imaging in the atmosphere is fog and the other one is the atmospheric turbulence. The fog can be described as the mist. The turbulence is nothing but the unsteady movement in air. The images captured in the fog weather by outdoor surveillance system degrades the image and the image does suffer from the poor contrast. Over the years, many researchers have provided deep understanding into the physics of either the fog or turbulence but not both. Not long ago, researchers have proposed various methods to remove fog in images fast enough for real-time processing. In addition to this, methods have been proposed by other researchers that address the various atmospheric turbulence problems. Contrast Enhancement methods can be used to remove the atmospheric turbulence.
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39 |
Energy Efficient Routing Protocols for Mobile
Ad-Hoc Networks
Rupali Mahajan
Abstract—Ad hoc on demand distance vector routing protocol is
specially designed for mobile ad hoc networks with reduce
overhead using Expanding Ring Search technique. BERS is an
energy efficient alternative that was developed recently based on
the Expanding Ring Search (ERS). Enhanced BERS is a faster
and more energy-time efficient version of BERS.EBERS; BERS
has achieved the best performance in terms of energy efficiency.
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40 |
Study on Various Techniques in Hand Gesture
Recognition
J.Ramya, Dhanalakshmi, S. Karthik
Abstract—Hand Gesture recognition is a technique
used by human to communicate and interact with
machine naturally without any mechanical devices.
Gesture recognition allows the computer to
understand and bring the human ideas. Gesture
recognition act as a bridge between machines and
humans, which still limit the majority of input to
keyboard and mouse. Gesture recognition in which it
recognize the expressions of motion by a human such
as hands, arms, face, head, and body. Hand gestures
recognition provides a separate complementary
modality to bring ones ideas. Hand gesture is a
method of non-verbal communication for human
beings for its free hand expressions much more other
than other parts. Hand gesture recognition has greater
efficient for human computer interaction system.
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41 |
Deflection control in high rise
Buildings under seismic excitations
Using lateral systems
Sandhyapogu Sudheer, B.Ajitha
Abstract— The basic principles of design for vertical and
lateral loads (wind & seismic) are the same for low, medium or
high rise building. But a building gets high both vertical &
lateral loads become controlling factors. The vertical loads
increase in direct proportion to the floor area and number of
floors. In contrast to this, the effect of lateral loads on a
building is not linear and increase rapidly with increase in
height. Due to these lateral loads, moments on steel components
will be very high. By providing bracing, these moments can be
reduced.
In the present analysis, a residential building with 60
floors is analyzed with columns, columns with X,V & Inverted
V bracings at different locations were for all the 4 cases. The
building comes under zone 4.Moments, Base Shear,
Displacement, Drift, storey shear were compared for all the
cases. It is observed that the deflection was reduced by
providing the bracings.
Earthquake load is becoming a great concern in our
country as because not a single zone can be designated as
earthquake resistant zone. One of the most important aspects is
to construct a building structure, which can resist the seismic
force efficiently. Study is made on the different structural
arrangement to find out the most optimized solution to produce
an efficient safe earthquake resistant building.
A commercial package ETABS has been utilized for
analyzing high-rise building of 180m height and for different
zones. The result has been compared using tables & graph to
find out the most optimized solution. Concluding remark has
been made on the basis of this analysis & comparison tables.
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42 |
Survey on VLSI architecture for
Wavelet filter bank
S.Priya, S.Sobana
Abstract-This paper proposed image compression by
Daubechies 6-tap wavelet filter and Orthogonal filter. Image
compression with Daubechies 6-tap wavelet filter are multiplierless
architecture based on algebraic integer representation and
Image compression using orthogonal reconstruction filter banks
are used to reduce the number of adders/ counters. This paper
presents an overview of the available wavelet filter banks and
their drawbacks when compared with the Daubechies 6-tap
wavelet filter.
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43 |
Network-On-Chip(NOC)-A Survey
K.Saranya, C.Karthikeyini
Abstract-With advancement in the technology in the on chip
communication, the need of faster interaction between devices is
becoming vital. Network on Chip (NoC) can be one of the
solutions for faster on chip communication. This paper gives an
overview of the state-of-the-art regarding the NoC proposals.
The major trends of the NoC research and aspects that require
more investigations are pointed out. A packet-switched 2-D mesh
is the most used and studied topology so far. The research shows
that NoC constitutes an unification of current trends of intrachip
communication rather than an explicit new alternative.
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44 |
Evaluation of Various Fault Diagnosis Algorithms
in FPGA - Review
C.Jenifer pon catherin, P.Maniraj kumar
Abstract-A Field Programmable Gate Arrays(FPGAs),are
used in various applications like signal processing, networks
and other computing applications. During system operation,
testing of components are done to improve the system’s
reliability and performance.This article illustrates the
various detection and location methods and its algorithms in
an FPGA architecture. Diagnosis methods were based on
Programmable logic blocks and interconnects, since faults in
both resources are vulnerable during manufacturing and
testing. As a result, the number of test configurations resulted
to diagnose the faults, rate of fault coverages, complexity
issues has been evaluated for various diagnosis method after
implementation in benchmark circuits.
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45 |
Robust Blind Image Watermrking Using Optimum Strength Factor
Ms.Rekha D.Patil
Abstract-This paper presents a robust image watermarking scheme based on a sample projection approach. While we consider the human visual system in our watermarking algorithm, we use the low-frequency components of image blocks for data hiding to obtain high robustness against attacks. In this paper we are giving a new image watermarking method. This method give robustness to watermark with good image quality .To provide robustness we used optimum strength factor with maximum likelihood decoder because of this imperceptibility is also achieved. why is used. It is a blind watermarking method. Means original image is not required at the time of watermark recovery.
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46 |
Techniques to reduce leakage
And peak temperature in
VLIW Scheduling -A Survey
S.Rasky, C.Karthikeyini
Abstract-The technology scaled to nanometerscale,
leakage energy contributes a greater
proportion, especially for very long instruction
word (VLIW) architectures. The presence of a
large number of functional units in the very long
instruction word (VLIW) architectures attribute a
large fraction of this leakage energy consumption
in the functional units. However, functional units
which are not fully utilized in the very long
instruction word (VLIW) architectures because of
the inherent variations in the Instruction-level
parallelism (ILP) of the programs. This under
utilization is even more pronounced in the context
of clustered very long instruction word (VLIW)
architectures because of the contentions for the
limited number of slow inter-cluster
communication channels which lead to many
short idle cycles. The growing energy consumption
that increases the chip temperature, which brings
an exponential growth in leakage current, and
consequently leakage energy. Several approaches
have been proposed for the solution of these
problem but development is currently still very
much in progress.This article discuss some
approaches for leakage energy and peak
temperature reduction.
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47 |
A Survey on Distributed Data Search in MANET
R. Yazhini, S.Kannan, S.Karthik
Abstract-Manet uses a large number of nodes and it is
a large scale network. Data search quite difficult in
search networks. In this paper mentioned various
data search protocols like LORD (Locality based
distributed data search system), Opportunistic
Flooding, Data dissemination, TPSR (Tree-based
Power-aware Source Routing) and GHT (Tree-based
Power-aware Source Routing) among these protocols
LORD protocol finds to be the best in data search in
manet.Since this protocol is scalable and has high
density and this overcomes the flows of the remaining
mentioned protocols.
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48 |
A Survey on Different Feature Selection Techniques Based on Constraints
A.Sindhu, T.Kalaikumaran, S.Karthik
Abstract-In recent years, the enlargement of high dimensional data has been increased, which poses a great deal of issue in the knowledge discovery process. This work addresses the process of reducing the high dimensional data by feature selection method in the semi-supervised data. Here, the study on various techniques on different feature selection method based on constraints has been performed.
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49 |
Advanced Hybrid Multi-hop Routing - A approach
for Allocation of Channel and Routing in hybrid
multichannel wireless mesh networks
G.Mariammal, G.Karunanandhini, P.Lakshmanan
Abstract-The proposal work is an enhancement of many to one
transmission with power aware routing protocol and efficient
channel allocation. This work focuses on single sink based WSNs,
in which a WSN is composed of a number of sensor nodes
associated with a single sink node. The primary role of sensor
nodes is to gather data of importance from its surroundings. in
this work, we consider a WSN design that is practical, and low
cost. We propose Advanced Hybrid Multi-hop routing (AHYMN)
to mitigate the impact of sink node isolation. To our best
knowledge, this is the first design that considers a hybrid multihop
routing architecture1 given below. Although flat multi-hop
routing algorithms enable routing of data in a fashion that
minimizes the power consumption of the WSN, they fail to exploit
the data aggregation opportunities by virtue of data collected
from the WSN. In many WSN applications with the relatively
high node density, the data collected by individual nodes are
highly redundant, thus making data aggregation a very attractive
scheme in WSNs. Hierarchical multi-hop routing algorithms aim
to capitalize on the highly correlated nature of WSN’s collected
data. We describe the operation of the most notable example of
hierarchical multi-hop routing algorithms, from that we can
improve the routing efficiency and channel allocation in cluster
networks. The cluster head selection is obtained based on energy
level and routing efficiency of the network.
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50 |
A Survey paper on “Hybrid system for Fingerprint
Identification”
Annapoorani D, Caroline Viola Stella Mary M
Abstract-This paper describes a fingerprint identification
technique which is fusion of two approaches: a minutiae based
and wavelet statistical features. A minutia matching is widely
used for fingerprint recognition but shows poor performance
when image quality is degraded. However, its performance can
be enhanced by the combination of other technique like wavelet
transform method. Wavelets are good for local analysis, so used
for extracting local features from fingerprint. The final matching
score is estimated using fusing matching scores of minutiae based
and wavelet based method. By measuring False reject rate (FRR)
and false accept rate (FAR) the performance of hybrid
fingerprint identification method is calculated. This method is
better than conventional minutiae method for real time
verification.
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51 |
Test cases Generated by Collaborating Two UML
Diagrams
Gurpreet Singh, Rasbir Singh
Abstract-In order to develop any software two phases are
considered, one is designing phase and other is testing phase.
In designing phase system is designed which consists of all
aspects of the system like its functions, operations and
features. In testing phase test cases are generated to test the
system in order to develop an efficient software. In this paper
designing phase and testing phase is done with the help of the
UML models. So UML models are helpful in both designing
and testing of the system as UML models give a lot of
information that should not be ignored in designing and
testing. An innovative approach of generating test cases from
the combination of UML diagrams has been discussed in this
paper. So the present work used an approach where message
dependency graph of sequence diagram and control flow
graph of state chart diagram has been used to generate UML
interaction graph. The UML interaction graph thus generated
is suitable for generating test cases.
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52 |
Study of Various Routing Protocols in Manet
B.Suganyapriyadharasani, R.M.Bhavadharini, S.Karthik
Abstract- Mobile Ad Hoc Network (MANET) is a collection of free
or independent nodes that can arrange themselves in various
ways & function without a strict top-down network
administration. The mobile nodes can dynamically interchange
data along themselves. Because of this characteristic path
connecting with source is unstable which makes communication
difficult. So to overcome the instability, the routing protocols
have been proposed like AODV, DSR, PSR and DSDV. This
survey paper brings out the overview of these protocols by their
functionality, characteristics, benefits and limitations which can
be used for analyzing the execution. The main rationale of this
surveillance is to show how the execution of these protocols can
be improved.
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53 |
Static structural and static
Thermal analysis of diesel engine
Poppet valve
G.Lavanya Lakshmi, K.Koteswara Rao, Y.Dhanasekhar, D.J.Johnson
Abstract- This project deals with Thermal and structural
analysis of diesel engine Exhaust valve. The aim of the project is
to design an exhaust valve with a suitable material for a four
wheeler diesel engine using Pro-E crio 2.0 and analysis is done
using ANSYS 11.O. 2D drawings are drafted from the
calculations. During power stroke due to high temperature gases
the exhaust valve life time may be decreased. So to increase the
life time of the poppet valve we replace the existing materials
with high strength materials. Thermal and structural analysis is
to be done on the exhaust valve when valve is closed. Analysis
will be conducted when the study state condition is attained at
5000 cycles using three materials namely Titanium 6242, Steel
347, Steel 304.
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54 |
Harmonic Reduction Using Cascaded Multilevel
Inverter Fed Induction Motor Drive
T. Premkumar, V. Dhinesh, P. Vijayakumar, Dr. S. Saravanan
Abstract-
In this project, a multilevel inverter was designed and
implemented to operate a stand-alone solar photovoltaic system.
The proposed system uses selective harmonics elimination pulsewidth
modulation (PWM) in the multilevel inverter to convert DC
voltage from battery storage to supply AC loads. In the PWM
method, the effectiveness of eliminating low-order harmonics in
the inverter output voltage is studied and compared to that of the
sinusoidal PWM method. This work also uses SHEPWM to
predict the optimum modulation index and switching angels
required for a nine-level cascaded H-bridge inverter with
improved inverter output voltage. The proposed predictive
method is more convincing than other techniques in providing all
possible solutions with any random initial guess and for any
number of levels of a multilevel inverter. The simulation results
prove that the lower-order harmonics are eliminated using the
optimum modulation index and switching angels. An
experimental system was implemented to demonstrate the
effectiveness of the proposed system.
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55 |
Offline Sensorless Control for BLDC-PM
Motor Using Finite Element Method
P.M. Manikandan, G. Praveen Santhoshkumar, T. Muthukumar, R. Satheeshkumar
Abstract- This paper presents the FEM assisted
sensorless control for BLDC-PM motor. The
sensorless control of BLDC motor is based on the
line to line PM flux linkage. The rotor position
and speed are obtained by using this FEM
method. The position is determined by comparing
the line to line PM flux linkage with the FEM
calculated PM flux linkage. The reliability of this
method for BLDC-PM motor is determined
through the simulations and experimental results.
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56 |
Study and Analysis of Transmission Power in
Wireless Sensor Network Using RSSI methods
Dhanveer Singh, Ankit Jha
Abstract- In wireless communication systems, strength of the
signals degraded as function of distance. Received signal strength
may also affected by temperature of receiver node and detection
of information is depends on received signal strength. Therefore
here we are analyzing required power level of transmission so
signal can be received and information can be detected. In this
paper, we propose Energy-efficient Scheme for Transmission
power adjustment in WSN using RSSI method. In this scheme,
we will use open-loop for temperature aware link quality
assessment and reward while closed-loop feedback helps to split
network addicted to several logical regions to reduce overhead of
control packets on basis of Threshold transmitter power loss
(RSSIloss) for each region and current number of neighbour
nodes that help to adapt transmit power according to connection
class changes due to temperature difference. We will discuss the
power level of transmitter by dividing the RSSI loss into two
scenarios i.e. High and low.
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57 |
An Efficient Automatic Cross Document Text
Summarization using Genetic Algorithm
R.Sudha, S.Jeyanthi
Abstract- Cross document text summarization plays an
important role in the field of natural language processing. In the
previous works the underlying entity of a given document
depending on the original text which is unreliable if the original
text contains multiple parts of different themes. In this paper
cross document text summarization is done using genetic
algorithm and cosine similarity. The informative indicative
summary from different documents is extracted by genetic
algorithm technique such as selection, fitness and crossover. The
selection of random line makes the summarization automated.
The selected lines are checked for its fitness. Crossover is the
process in which fitness calculated lines are taken for account.
Then by using cosine similarity the summarization is carried
down for intra document.
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58 |
Disruption Tolerant Military Network with Enhanced
Security- A Survey
P.Sobiyaa, R.M.Bhavadharini, S.Karthik
Abstract-A freely roaming nodes forming as a group of
network for effective communication is called Mobile
Adhoc Network (MANET). In MANET nodes have
liberty of moving around the network with no defensive
boundaries and often nodes join and leave the network as
per their needs. Due to this nature MANETs are insecure.
Mobile nodes in military environment suffer from
intermittent network connectivity and frequent
partitions. Disruption Tolerant military Networks (DTN)
are becoming successful solution that allows wireless
devices carried by soldiers to communicate with each
other reliably. DTN technologies have the potential to
interconnect devices in regions that current networking
technology cannot reach. This paper is survey about
security and efficient management of data retrieval in
Disruption Tolerant military Networks.
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59 |
Duty cycle scheduling algorithm for
Wireless sensor networks
V.Yaknapriya, T.Saarulatha, P.M.Manikandan, S.Saravanan
Abstract- Wireless sensor network consists of a group of sensors
which has the capability to sense and transmit the real time
information to the server. Scheduling in sensor gateway always
remains a challenge as it needs to consider the optimal channel
utilization of the sensor motes. Most of the scheduling algorithm
in the sensor gateway is based on node’s duty cycle i.e., active
time, sleep time and idle listening period of the sensors. The duty
cycle scheduling is varied randomly based on the data arrival
with FIFO queue as common consideration for diverse traffic
loads. In this paper, a new queue based scheduling algorithm
called Adaptive Duty Cycle Scheduling for Embedded Sensor
Networks is proposed for a diverse traffic condition to provide an
efficient scheduling with reduced delay and energy consumption.
The duty cycle for a sensor node is varied based on the arrival
rate of data from sensor nodes and considering the queue length
at the gateway. Extensive analyses are carried out under NS-2
simulation environment for SMAC and TMAC scheduling
algorithm and their performance were noted for further
enhancement.
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60 |
Improving Privacy In Multi keyword Top-K
Retrieval Over Encrypted Cloud Data
K.Santhosh, S.Dhanalakshmi, S.Karthik
Abstract- Migration of users into the cloud
environment is increased with the high popularity of services
provided by the cloud providers. When large number users
outsourcing their files into the cloud environment privacy
becomes the most important issue. So the users outsource their
data’s after encryption. The searching and retrieval of files
becomes most complex when the files are stored in the
encrypted format. In the previous work Multi-keyword ranked
search over encrypted data (MRSE) is implemented to assure
the privacy enhanced searching mechanism. The ranking
mechanism is used to retrieve the most similar values over the
encrypted files. However one cannot assure that whether the
all retrieved results are having most similar fields. The rank
test mechanism can be implemented to find out the files are
having similar fields or not. Our proposed system is used to
retrieve the files with the most similarity values. It mainly
concentrates on checking whether the retrieved queries are
similar group of files or not.
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61 |
Vibration control of framed
Structures under seismic
Excitations using tmd
A.Abdul Malik, Dr C.Sashidhar
Abstract-Vibration control is having its roots
primarily in aerospace related problems such as tracking and
pointing, and in flexible space structures, the technology
quickly moved into civil engineering and infrastructure-related
issues, such as the protection of buildings and bridges from
extreme loads of earthquakes and winds.
The number of tall buildings being built is increasing
day by day. Today we cannot have a count of number of lowrise
or medium rise and high rise buildings existing in the
world. Mostly these structures are having low natural
damping. So increasing damping capacity of a structural
system, or considering the need for other mechanical means to
increase the damping capacity of a building, has become
increasingly common in the new generation of tall and super
tall buildings. But, it should be made a routine design practice
to design the damping capacity into a structural system while
designing the structural system.
Tuned Mass Damper (TMD) consists of mass, spring
(stiffness) and damper. Tuned Mass Damper (TMD) is a
passive energy dissipation device which absorbs energy reduces
dynamic responses. It is attached to vibratory system. The
principle of Tuned Mass Damper is that, its damping ratio is
same as that of main structure.
This study was made to study effectiveness of using
TMD for controlling vibration of structure. Time history as per
spectra of Is-1893(part-1) 2002 for 5% damping at medium
soil, for different Earth Quake zones, study is done on the
vibration control of the framed structure by using ETABS
software.
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62 |
Applications of Image Processing Techniques in
Text Processing: A Review
Aditi N. Kulkarni, S. S. Nagtilak, Pradnya N. Sadigale
Abstract-In India language for communication
changes state wise. As all the boards, names or any information in a written
format is in the regional language. A human being can remember very few of them.
Even if someone is able to speak in many languages but unable to read that
something written in that particular one. Therefore when a person travels to
another state he/she may not be able to understand the regional language of that
state. In such a scenario though the informative boards are there in front of a
person but he/she will be totally unable to get the meaning of that.
Interpretation of the text written in a language that is unknown language to the
reader is impossible. This task can be made possible with the help of various
image processing techniques such as Optical Character Recognition, Segmentation
and Background Elimination etc. An overview of previously discovered techniques
is done in this paper.
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64 |
A study on various routing
Protocols over a VANET: a survey
V.Soundaryah , Dr.D.Shanthi
Abstract-In recent years, the aspect of Vehicular
Ad hoc Networks (VANETs) which is a special class of Mobile Adhoc Networks
(MANETs) has become an interesting research area. VANET is an autonomous self
configuring wireless network that integrates ad hoc network with cellular
technology in order to achieve intelligent communications among vehicles for the
provision of safety and increased efficiency. Because of varying dynamic
topology, network size and mobility constraints in VANETS efficient routing
protocols must be designed adapting to different VANET environments. This paper
includes a survey on various routing strategies which incorporates both vehicle
to vehicle (v2v) and vehicle to Infrastructure (v2I) communications. It compares
various routing protocols in accordance with their methodologies advantages and
disadvantages by pointing out some open issues in it.
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65 |
A Survey on Personalized Web Search
R. Dhivya, B. Vinodhini, S. Karthik
Abstract-An individual person searching through
the web according to their interest is known as personalized web search. Many
users accessing the web but the web results shows similar results to everyone
for example a fruit seller and programmer may use the same word “Apple” to
search for their individual needs. In this paper, it mainly describe about the
different personalized web search methods such as client side web search and
others which is used to protect the personal information of users.
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66 |
A Survey on Anonymization Techniques for
Privacy Preserving Data Mining
R.Monisha, A.Chandrasekar, S.Karthik
Abstract-In recent years, the data is produced at
an unusual rate. So our ability to store data has grown. The data that is been
stored can be analyzed for useful information. In order to make research useful,
the data should be published. The data may contain personal details and
sensitive attributes which an individual may not like to publish. The personal
data may be misused for variety of purposes. Hence, the Privacy Preserving Data
Mining (PPDM) plays a key role in securing data from disclosure. The data is
anonymized and then published. There are many techniques that help in data
privacy. These techniques are from wide areas such as data mining, cryptography
and information security. In this paper, we propose futuristic methods for
privacy preservation.
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67 |
Secure Mining Of Association Rules in
Vertically Distributed Database
Mr.M.S.Thanabal, Mr.L.Ganesan, Ms.S.Annapoorani
Abstract-Distributed data mining technology has
enhanced for identifying patterns and trends from large quantities of data
shared from multiple parties. Privacy preserving algorithm to mine association
rules from horizontally partitioned data using a Inverse Frequent Itemset Tree
(IFIT). However, for very high dimensional data this system increases the time
complexity rate of the system. In order to improve the accuracy rate of the
system as well as reduce the time complexity rate, we are proposing the
optimization method. The proposed approach is most helpful for securing the
corporate privacy, and it is analyzed with the large datasets approach called
genetic algorithm. In our proposed work, we aim to find Inverse Frequent
Item-set and to develop a global association rules model based on the genetic
algorithm. This scheme is most helpful for securing the corporate privacy, using
rob frugal scheme and it is analyzed with the large datasets and it is using
vertical partition data. It is simpler and significantly more efficient to
preserve the data well in secured multiparty computation.
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68 |
Survey over Efficient Schemes to detect
& Prevent Accidents in VANET
M.Sowndarya, Dr.D.Shanthi
Abstract-VANET (Vehicular Ad-hoc Network) is an
emerging new technology having unique characteristics different from other ad
hoc network. This paper presented a literature survey on an efficient Scheme to
avoid accident and Secured Mobility Pattern in Vanet. Recent years the total
number of vehicles around the world is increasing day by day. Therefore it is
necessary to improve the road safety rather than improving the quality of the
roads. VANET is one of the influencing areas for the improvement of Intelligent
Transportation System (ITS) which can increase road safety, provide traffic
information etc. In this paper, I propose a warning service to prevent accidents
by alerting drivers about accidents and dangerous road conditions. Apart from it
helps to create balance in traffic load by reducing the travelling time and also
broadcast emergency signal via Road Side Unit (RSU) to the other vehicles behind
the accident. Misbehavior detection nodes are found using the Mobility Pattern
in vehicular ad hoc networks. A warning message about the misbehaving node is
send to all other nodes. A DynamicBip Algorithm is designed for vehicles using
the mobility pattern to reduced accidents and increased safety in VANET.
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69 |
A Survey on Bus Tracking System Based
on GPS and GSM for
Bus Arrival Time Prediction
P.Nivetha,Mrs.T.Vigneswari
Abstract-The bus arrival time is the key
information for most of the people who travel by buses. Bus is the most
inclusive and inexpensive mode of transport especially for the students, the
employees of a company or for a common man. The usage of the bus transport
depreciates personal vehicle usage and thus decreases the fuel consumption. Bus
transport also suppress the traffic congestion. Prolonged waiting time at the
bus stops dispirit the usage of buses.Also the bus schedules are delayed due to
many unpredictable factors such as harsh weather situation, traffic conditions
etc. So, generally the accurate arrival time of the bus is required for the
every bus passengers. Towards the intend of reducing this problem,there are
various bus tracking system for predicting the bus arrival time and for
providing service for the bus travelers are developed.This paper reviews
different types of the bus tracking system based on GPS and GSM for the Bus
arrival Time Prediction which is used for providing accurate arrival time
information for the querying bus travelers. And it also reviews the merits and
demerits of the GSM and GPS based tracking system in the form of tabulation.The
discussed systems can be able to decrease the problems that are arising due to
unavailability of a reliable, efficient, accurate, and updated bus arrival time
prediction system.
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70 |
Assessment of giant fulfillment of
On-chip networks with distributed buffer
Routers
M. Deivakani, JO.Joy Stanley
Abstract-In Network-on-chip routers, its buffers
committed to their ports of each input and output. Buffers store the non
permanent information and involves in consumption of each space and power.
Buffer less routers take away buffers from the router thus save abundant space
however; their performance becomes poor just in case of incoming information
packets rates are massive. As a result of having no handiness of buffers,
previous router styles planned to drop and channel packets or to deflect them
once network competition happens which will consume even higher energy per
packet than a router with buffers. Whereas examining the network traffic but not
each input ports of routers incoming packets have required to be transported at
the same time. Broad number of buffers is empty and a few are somewhat busy,
this encourages going for the shared line-up buffer technique. Every router has
five ports, four ports to neighbour router and one to the processor through
network interface (NI). In this paper, it tends to gift a distributed buffer
line-ups technique to utilize idle buffers once the network delivery becomes
heavy. If the incoming packet is at light-weight delivery case, the input
packets at the input ports bypass the shared line-ups however at the significant
delivery condition it have to be compelled to be travel through the shared
line-ups to extend the outturn rate.
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71 |
Real time biometrics security system through
Finger-vein recognition
Jayalilly.S
Abstract-The main objective of this system is to
develop an embedded system, which is used for ATM security applications. In this
system, Bankers will collect the customer finger-vein while opening the accounts
and then only customer can access the ATM machine. The working of this ATM
machine is, when customer places finger on the finger vein module it
automatically generates every time a different 4- digit code as a message to the
monitor. The code received by the customer should be entered by pressing the
keys on the touch screen. After entering it checks whether it is a valid one or
not and allows the customer to access.
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72 |
A Voltage Controlled PFC SEPIC Converter Based
PMBLDCM Drive for Air-Conditioners Using Fuzzy
Controller
Mr.S.Saranraj, Mrs.A.Sasipriya, S.Ramkumar, M.Muruganandam
Abstract-This project proposes a SEPIC converter
as a powerfactor improvement converter for Permanent Magnet Brushless Motor
Drive. Generally, PMBLDCM Drive is operated by an electronic commutator (3 phase
VSI). PMBLDC Motor drives having lagging power factor when it is supplied from
AC supply due to its inductive load nature. Therefore the speed control of the
motor is cannot be efficient. This leads to poor power quality at AC mains.
Because of this poor power quality at AC mains compressor could not work
efficiently. In an Air-Conditioner, Compressor speed needs to control
effectively intends to achieve optimum air conditioning. And Moreover,
Implementation of SEPIC Converter in this drive improves the power quality at AC
mains. This Proposed method is constructed and also its performance analyzed by
using Matlab software.
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73 |
Service oriented analysis of Big
Data
B.Manivannan, M.Ananda kumar
Abstract-Big Data is an all-inclusive term for any
gathering of information sets so huge and complex that it gets to be hard to
process utilizing conventional information handling utilization. The
difficulties of incorporate investigation, capture, search, sharing, storage,
exchange, visualization, and security infringement. The pattern having bigger
information sets because of the extra data logical from examination of a
solitary huge set of related information, as contrasted with independent more
diminutive sets with the same aggregate sum of information, permitting
associations to be found to spot business patterns, avoid maladies, battle
wrongdoing etc. In this paper we proposed a semantic analysis and trust analysis
because in semantic analysis text mining approach is utilized for survey the
item and discover the related services. Trust Analysis is applied for discover
whether is trustable or non-trustable.
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74 |
VHDL Implementation of I2C Master Bus Controller
A.Surendra nadh, V.Satyanarayana, U.Yedukondalu
Abstract-Today, at the low end of the
communication protocols I²C protocol was in major use. The I²C bus was developed
in 1982; its original purpose was to provide an easy way to connect a CPU to
peripherals chips in a TV set. Peripheral devices in embedded systems are often
connected to the microcontroller as memory-mapped I/O devices.The focus of this
paper is on I²C protocol following master controller. This controller is
connected to a microchip or pc and reads eight bit directions following I²C
protocol. The entire module is meant in VHDL and simulated in ModelSIM. The
planning is additionally synthesized in Xilinx 14.1
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75 |
Performance Evaluation of Energy Efficient Routing
Protocol for Wireless Sensor Networks
Sake Pothalaiah,D. Sreenivasa Rao
Abstract-A wireless sensor network (WSN) is a
network of spatially disseminated autonomous sensors to monitor physical or
environmental circumstances, such as temperature, sound, moisture, pressure,
etc. and to cooperatively pass their data through the network to a main
location. The main constraint in wireless sensor networks is that the nodes need
to use as less power as possible to increase the lifetime of the network. Most
of the nodes run on batteries and are deployed in hostile areas where accessing
and replacing nodes is not a feasible option. Hence if the nodes use up their
limited energy too fast the network will die out faster. Hence energy efficient
routing protocols are required for the design of strong and efficient wireless
sensor networks. In this paper deals with the study and simulation of LEACH
protocol and then compared with AODV and simulation results are carried out
using NS 2 their performance is analyzed with different parameters like
throughput, end to end delay, power consuming, power reaming and number of dead
nodes .
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76 |
DC link Voltage Control for High Performance Asymmetric Twin
Converter Based D-STATCOM Fed to Induction Drive
Ch. Pavan Kumar, Kiran Kumar Kuthadi, K.V.Uma Mahesh
Abstract-Power Electronics (PE) converter
technology is a very efficient alternative for medium-voltage and highpower
applications and also for other applications where high-quality voltages and
currents are required. The main concern of consumers is the quality and
reliability of power supplies at various load centers where they are located at
.Even though the power generation in most well developed countries is fairly
reliable. The controller can balance individual dc capacitor voltages when
H-bridges run with different switching patterns and have parameter variations.
It has two advantages: 1)the controller can work well in all operation modes
(the capacitive mode, the inductive mode, and the standby mode) and 2) the
impact of the individual dc voltage controller on the voltage quality is small.
This paper suggests further improvements in this topology. A threephase cascaded
H-bridge inverter his control method uses a discrete-time model of the system to
predict the future value of the current for all voltage vectors, and selects the
vector which minimizes a cost function. In order to improve the performance, a
phase-shifted carrier based pulse width modulation technique is used. A
mathematical model of the system is derived, based on which a controller for the
scheme is designed. The effectiveness of the scheme is verified through detailed
simulation study using Mat lab/Simulink.
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77 |
DA survey of various image
Enhancement techniques
R.Ragumadhavan
Abstract-Image enhancement is one of the key
issues in high quality pictures such as digital cameras. Since image clarity is
very easily affected by lighting, weather, or equipment that has been used to
capture the image. These conditions lead to image may suffer from loss of
information. The image enhancement is to bring out detail that is hidden in an
image or to increase contrast in a low contrast image. It provides a multitude
of choices for improving the visual quality of images. This paper presents a
short description of various image enhancement techniques in order to make
familiar with the enhancement of a blurred image, setting the brightness,
contrast and other degradations in images in image processing.
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78 |
Power quality improvement in a PMBLDCM
Drive using a buck converter
R.Ragumadhavan
Abstract-Solid-state switch-mode rectification
converters have reached a matured level for improving power quality in terms of
power-factor correction (PFC), reduced total harmonic distortion at input ac
mains and precisely regulated dc output in buck, boost, buck–boost and
multilevel modes with unidirectional and bidirectional power flow. In this
paper, an improved power quality converter employing conventional PI based &
intelligence controlled( FLC) forward buck converter topology is used to feed a
permanent magnet brushless DC motor (PMBLDCM) drive. Normally, the PMBLDCM drive
consists of a three-phase voltage source inverter (VSI) and a PMBLDCM which is
fed from single-phase AC mains through a diode bridge rectifier (DBR). In this
proposed system a conventional pi and fuzzy logic controlled based forward buck
DC-DC converter is used after the DBR and it performs power factor correction
(PFC) at input AC mains and voltage control at DC link, in a single-stage. The
proposed PMBLDCM drive is designed, modeled and its performance is evaluated in
Matlab- Simulink environment for an air conditioner (Air-Con) load. The speed of
the compressor is controlled for efficient operation of the Air-Con which
results in controlling the temperature in the conditioned area at the set point,
effectively. Obtained results are presented to demonstrate an improved power
quality of PFC converter based PMBLDCM drive in wide range of the speed control.
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79 |
A High Step-Up Converter With a Voltage
Multiplier Module for a Photovoltaic System
K.Sindhuja, P.Joel and B.Shivashankar
Abstract-A high step-up converter for front end
photo voltaic system is proposed in this paper. An asymmetrical interleaved high
step-up converter obtains high step-up gain without operating at an extreme duty
ratio through a voltage multiplier module. The voltage multiplier module
consists of a conventional boost converter and coupled inductors.To achieve a
considerably higher voltage conversion ratio an extra conventional boost
converter is integrated into the first phase. This two-phase configuration will
not only reduce the current stress through each power switch, but also
diminishes the input current ripple, which decreases the conduction losses of
metal–oxide– semiconductor field–effect transistors (MOSFETs). In addition, the
proposed converter also behaves as an active clamp circuit. This feature may
allivate large voltage spikes across the power switches. Thus, in the proposed
system the low-voltage-rated MOSFETs can be adopted for reductions of conduction
losses and cost. Hence the efficiency increases as the energy stored in leakage
inductances is re-cycled to the output terminal. Also a prototype circuit with a
40-V input voltage, 380-V output, and 1000-W output power is operated to verify
its performance. The highest efficiency that can be obtained with system can be
96.8%
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80 |
An survey on automated secure
Configuration using internet
Protocol version 6
J.Jayanthi, C. Mahesh Kumar
Abstract-This paper presents the automated secure
configuration using IPv6. Ipv6 is a network layer protocol designed as an
evolution from ipv4. Ipv6 resolves many of the problems inherent in ipv4 and
also incorporates many enhancements. In this paper, proposed secure
configuration for delivering packet using authentication header. It solves the
internet scaling problem, provides a flexible transition mechanism, meets the
needs of mobile users, Supports a auto configuration (plug and play). Internet
Protocol version 6 (IPv6) nodes use a local IPv6 routing table to determine how
to forward packets. IPv6 automatically it creates routing table entries when
initializing, and it adds entries from its static configuration, based on the
receipt of on-link prefixes and routes. This paper includes introduction,
Advantages and its limitations, basic ipv6 configuration, working of ipv6 and
protocol overview.
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81 |
Implementation of Secure Data communication technique on
FPGA
Satish kumar vishwakarma, Prof. Shivam Khare, Prof. Richa shrivastava
Abstract-The XXTEA block encryption includes both
the f8 data security algorithm and the f9 data integrity algorithm for Mobile
communications Networks. XXTEA implementation requires high performance and has
low power use in order to be proper for network components. Presented work is
principally based on designing an optimised architecture (IP) for a
cryptographic block for cellular mobile phone and a network intrusion detection
system (NDIS) for a high speed network. The complete designs are coded using
VHDL and are synthesized using Xilinx ISE for verifying their functionality.
Virtex-4 pro FPGA is chosen as the target device for realization of the proposed
design. The work is to design an optimised solution for secure 3G mobile
communication XXTEA is the standard encryption technique but proposed work is
more optimised solution for the same when the chip area and encryption time
considers as design parameters. Thesis work describes a new method for the
Sbox-7 and Sbox-9 of XXTEA approach.
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82 |
Modified exhaust manifold for reduction
Of catalyst light off temperature duration: a review
Nirmal Raja R, Senthil Prabhu M
Abstract-An improvement of exhaust manifold design
requires better fundamental understanding of complex processes taking place
involving heat and mass transfer with chemical reactions. The paper was mainly
focused on the study of fluid flow inside the exhaust manifold and the study of
temperature distribution and chemical reaction in catalytic converter. Three way
catalytic converter (TWC) has become a common feature for the gasoline engines
with closed loop lambda feedback control. TWCs are being progressively improved
in their design structure, material properties and hence performance. However,
the catalytic converter will not able to function effectively until it reaches
the light-off operating temperature though TWC used in motor vehicles nowadays
are able to achieve the reductions of CO, UBHC and NOx by up to 95% when they
are fully warmed up. The light-off temperatures of the TWCs are in the range of
250°C-340°C. Recent research has revealed that 60-80% of the UBHC and CO is
emitted from a motor vehicle equipped with TWC within the first few minutes
following engine cold start. This peculiarity offers scope for the reduction of
overall engine emissions in particular where short journals are frequently
encountered in urban road driving. In this connection we considered detailed
heat transfer processes in the engine exhaust system. So as to predict the
performance of the catalytic converter and its light off temperature. The
various complex geometries like (divergent, convergent and regular pipe) of the
exhaust line and the special flow conditions complicate the problem of
accurately estimating several important heat transfer parameters. The exhaust
gas temperatures along the exhaust pipe and across the catalyst monolith
spatially predicted and compared with the conventional exhaust system (regular
pipe) results.
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83 |
Big Data – The Tsunami of Data in the Digital Universe
A.H.Nandhu Kishore, VE. Jayanthi, A.Sasireka
Abstract-The amount of available data grows day by
day enormously led to one of the buzzwords in the digital era and in the
Information Technology industry from the last decade namely the “Big Data”. The
process of identifying interesting patterns and performing automatic data-driven
decision making from the large amount of data has become one of the hot research
challenges and growing enthusiasm in dealing with the notion of “Big Data”. The
data is generated at a very faster rate by means of mainframe systems, client /
server systems, distributed systems, the Internet, Mobiles, social networks and
the cloud. The multitude of users, devices and the generated data with
incredible volume, variety and velocity all lead to the explosion of data. The
organizations need some means to store, utilize, protect and gain real-time
access from Big Data. The research focus of Big Data is now more towards on
making timely and accurate decisions to be obtained from Big Data rather than on
storing, manipulating and retrieving them. This paper aims at exploring on the
origin of Big Data, Big Data characteristics, Big Data analytics, Big Data
architecture and applications of Big Data in various fields
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84 |
Comparison of test cases Generated by using two
UML diagrams with one UML diagram
Tanu Gupta, D. S. Dhaliwal, Ravinder Kumar Vohra
Abstract-In order to develop an effective
software, the main thing is to considered that the developed software should be
error free. But the reality is that, it is impossible to develop a software
which is completely free from errors. So, developers try to develop a software
which may generate errors in rare cases. For this purpose Software Testing plays
an important role in Software development because it can minimize the
development cost and improve the system performance. In today’s world
functionality of software increases very quickly which may increase the
complexity and size of software applications, due to this more emphasis has been
sited on object oriented design strategy to reduce the software cost and
increase its performance. An innovative approach is to use UML models for test
cases generation for object oriented system. This paper will show the
comparision between the test cases generated by using combination of two or more
UML models and single UML model for an object oriented system.
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85 |
An Implementation of Ant Colony Optimization
Technique on Medical Image Segmentation (A Review)
JagdeepKaur,Rajinderkumar
Abstract-Image segmentation plays vital role to
understand an image. The segmentation of an image tells that what it represents
and various objects present in the image. This review paper we have proposed a
new approach Ant colony optimization of swarm intelligence for the segmentation
of Medical images. Medical Image segmentation is done with many techniques like
PSO, BBO, ABC& GA (Genetic Algorithm)etc. Ant colony based Optimization approach
for image segmentation for partitioning an image into multiple segments.
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86 |
Performance Comparison of Wind Power Systems
Fed with different Induction Generators
B.Masthanaiah, J.Nagarjuna Reddy, and B.M Manjunatha
Abstract-This paper describes the performance of
DFIG in detail. The SCIG was already proved the importance’s in renewable energy
systems. But still their exit some limitations in SCIG power generation. Those
are, SCIG needs almost constant shaft speed to generator to generate constant
power. In order to achieve this, we are using pitch angle control which reduces
the efficiency of the overallsystem. In order to increases the efficiency and
reliability we are inventing new technology is called DFIG.In this paper clearly
explains the comparison between SCIG and DFIG.The both systems are modeled in
mat lab by simulink environment and the operation is tested for wind turbine
maximum power extracting algorithm results.
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87 |
Enhancement of heat transfer by analysis of fluid flow in inclined
non-circular duct
Gururaj Biradar, S.S.Kubasad , H.V.Harish & Amaresha patil
Abstract-The phenomenon of forced convection with
turbulent flow is complex and hard to develop analytically. The aim of the
project is to enhance heat transfer by optimizing the design of domain. In this
study forced airflow at 5 m/s for different heat input, for different
inclination both for circular and non-circular ducts has been carried. Naturally
convection depends on fluid parameters and geometry of the domain through which
fluid flows. The aim of our project used to find the value of heat transfer
coefficient ‘h’ for turbulent flow in many fluid transfer systems. Heat transfer
coefficient ‘h’ very important parameter because they determine rate of heat
transfer. A review of literature on heat transfer coefficients indicated very
little work reported for crossflow pipe arrangement at various angles of
inclination. This project uses experimental results (based on reference paper)
to determine heat transfer coefficient, comparison of heat transfer coefficient
for circular, square, rectangular and triangular duct at different inclination
has been carried out finally and also passive method of enhancement of heat
transfer for triangular duct carried out and the duct which gives maximum heat
transfer coefficient has been optimized. ICEM-CFD has been used for modeling and
meshing purpose, CFX has been used for analysis and CFD-POST has been used for
result.
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88 |
Hand Gesture Recognition System to Count Finger
Using Contour Based Features
Ann Abraham Babu, Satishkumar Varma, Rupali Nikhare
Abstract-In this paper we propose a hand gesture recognition
system for counting number of fingers in a hand gesture using
contour based features. This system involves four phases namely
image capture phase, image pre-processing and segmentation
phase, feature detection phase and gesture recognition phase. In
the first phase, the input image is acquired by means of a web
camera. In the second phase the skin color of hand region is
detected using YCbCr color space and morphological operations
such as erosion and dilation are performed to remove noise
followed by smoothing and thresholding of hand image. Feature
detection is performed by extracting features namely centroid,
contour based feature which includes convexity defects and
convex hull, relative length and also angle is computed between
primary axis and line joining centroid and hull for orientation
detection. Finally, the recognition phase recognizes the gesture
number based on extracted features.
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89 |
A novel technique for denial of service
Attack detection in interconnected
Systems
A.Arunpandiyan, R.Mahesh
Abstract-Interconnected systems, such as Web servers,
database servers, cloud computing servers etc, are now
under threads from network attackers. As one of most
common and aggressive means, Denial-of-Service (DoS)
attacks cause serious impact on these computing
systems. In this paper, we present a DoS attack
detection system that uses Multivariate Correlation
Analysis (MCA) for accurate network traffic
characterization by extracting the geometrical
correlations between network traffic features. Our
MCA-based DoS attack detection system employs the
principle of anomaly-based detection in attack
recognition. This makes our solution capable of
detecting known and unknown DoS attacks effectively
by learning the patterns of legitimate network traffic
only. Furthermore, a triangle-area-based technique is
proposed to enhance and to speed up the process of
MCA. The effectiveness of our proposed detection
system is evaluated using KDD Cup 99 dataset, and the
influences of both non-normalized data and normalized
data on the performance of the proposed detection
system are examined. The results show that our system
outperforms two other previously developed state-ofthe-
art approaches in terms of detection accuracy.
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90 |
Communication Coverage in Wireless Passive
Sensor Networks Using Low-Cost FIR Filter Design
K Arun Veer Kumar, N Apparao
Abstract-Low-cost finite impulse response (FIR)
designs are presenting using the concept of multipliers with
producing full results. In this paper it was considered that the
optimization in partial products and hardware resources without
sacrificing the frequency response and output signal precision.
Multiple constant multiplication/accumulation in a direct FIR
structure is implemented using multipliers. Comparisons with
previous FIR design approaches show that the proposed design is
used for signed coefficient multiplications. In this new method, I
implement a multiplier which is useful to multiply all type of
coefficient values with its proportionate Signal values.
Comparisons with previous FIR design approaches show that the
proposed designs achieve the best area and power results.
Wireless Sensor Networks (WSN) are in general, composed of
low-cost, low-power sensor nodes which can only be equipped
with a limited power source, i.e., a battery. Sensor nodes
consume most of the stored power during RF transmission. At
this point, modulated backscattering (MB) is a promising
communication technique leading to a new sensor network
paradigm, Wireless Passive Sensor Networks (WPSN). WPSN
are supplied with energy by external RF power sources. With
MB approach, a passive sensor node transmits its data simply by
modulating the incident signal from an RF source by switching
its antenna impedance. Therefore, the transmitter is basically an
antenna impedance switching circuitry, and WPSN is free of the
lifetime constraint of conventional WSN.
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91 |
Highly Efficient Parallel Built-In Self Repair with
March C Algorithm
M.Durga, Mr.G.Balasubramanian, Mr.K.Prithviraj
Abstract-A parallel pseudo-random bit sequence generator with
March c- algorithm is proposed for high-speed self-test applications
in FPGA. The reseeding method makes LFSR to generate test
patterns without repetition leads high speed testing. As FPGAs is
used to implement any logical function for faster prototype
development, it is necessary to implement the existing design of
LFSR on FPGA to test and verify the simulated & synthesis result
between different lengths. The total number of random state
generated on LFSR depends on the feedback polynomial. The main
objective is to design and implement high speed online parallel
Built InSelf-Test using March c- algorithm with reseeding method
to cover more faults with less clock cycles.
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92 |
A Survey on different Feature Selection and
Classification Techniques for Cancer Prediction
G.Givya, Dr. S. Karthik
Abstract-Microarray gene expression data which has
an adequate number of genes are used to screen and
determine whether those genes are active, silent in
normal or cancerous tissues. By using this, the potential
gene markers of each cancer subtype can be identified.
The cancerous tissues in the gene expression data can be
found by using both the feature selection and
classification techniques. Where the feature selection is
the process of selecting the subset of relevant features
and the classification is the process of assigning a class
label to a set of unclassified cases. In this paper, the
hybrid feature selection that combines both filter and
wrapper method along with the semi-supervised SVM
classification is used in the prediction and diagnosis of
cancer.
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93 |
Design and Optimization of Wideband Microstrip Patch Antenna
for Wireless Applications
Jatin Kumar, Saranjeet Singh
Abstract-In this paper, we present Wideband
Microstrip Patch Antenna for Wireless Applications.
The design comprises of four rectangular patch array
each embedded on four L slots and one rectangular
patch array embedded on a plus slot. The design results
in reduction in weight size and allow easily integration in
hand held device. Proposed antenna is designed using
IE3D and results are analysed by comparing the gain,
return loss, directivity, bandwidth and VSWR with the
reference antenna.
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94 |
A Survey On Improving The Efficiency Of Retrieving Weakly Labeled Images In Web
M.Manikandan, S.Raja Ranganathan, Dr.S.Karthik
Abstract-Data Mining is the process of discover and extract
information from various source. It extract the pattern and
discover the knowledge of data. In modern developments
of digital media number of human facial images available
in the social websites,some images are properly tagged but
many of images are not tagged properly. so to overcome
this problem an image is taken as an input and based on the
features the related images are extracted then those images
are annotated properly. This paper poses various techniques
and methods are used to overcome the limitation of existing
approach.
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95 |
A High Efficiency ZVS PWM Resonant
Full bridge dc-dc Converter for
Electric Vehicle Battery Chargers
M.Nagarani, B.Satyavani
Abstract-This paper presents combing resonant and pulse width modulation (PWM) power conversions with a zero voltage switching (ZVS) full-bridge dc-dc converter for electric vehicle battery chargers. This converter has a half bridge LLC resonant circuit, it shares the lagging leg with a phase shift full bridge (PSFB) dc–dc circuit to guarantee ZVS of the lagging-leg switches from zero to full load. A secondary side hybrid switching circuit formed by the leakage inductance, output inductor of the PSFB dc–dc circuit, a small additional resonant capacitor, and two additional diodes, is integrated at the secondary side of the PSFB dc–dc circuit. With the clamp path of a hybrid-switching circuit, the voltage overshoots that arise during the turn off of the rectifier diodes are eliminated and the voltage of bridge rectifier is clamped to the minimal achievable value, which is equal to secondary-reflected input voltage of the transformer. The output voltage of LLC resonant circuit and the resonant capacitor voltage of the hybrid-switching circuit added, which is applied between the bridge rectifier and the output inductor of the PSFB dc–dc circuit during the freewheeling phases. As a result, the primary side circulating current of the PSFB dc–dc circuit is instantly reset to zero, achieving minimized circulating losses. The effectiveness of converter was verified by using MATLAB- simulink.
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96 |
Assessment on Traffic Noise Pollution at Different
Location in Jabalpur City
Krishen Bhagwan Sharma, Prof. R. K. Bhatia, Prof. M.K. Koshta
Abstract-Cities and towns of the world are now facing
enormous rise of noise pollution problem due to very
high population rise, transport congestion and
associated commercial and industrial activities.
Definition of pollution from a legal point of view is the
wrongful contamination of the atmosphere, or of water,
or of soil, to the material injury of the right of an
individual. This study investigates traffic noise pollution
in Jabalpur .Jabalpur, a district headquarter of
Madhya Pradesh is one of such a place where noise
pollution is very frequent. In order to assess noise level,
noise data were collected from various places of the city
by sound level meter with duration of 14 days /location
during specified time like 7.00 am to10.00pm. Traffic
behaviour and characteristics at various roads near
schools, hospitals, railway tracks, offices, courts, etc.
using “Sound Level Meter” Then, the maximum value
of noise level in decibels is Estimated.
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97 |
Charging Unit for 100CC Bike Battery
Rahamath Basha Shaik
Abstract-An Investigational study on DC Power
generation by using 100 CC Bike and Bladed wheel is
presented in this paper. The main objective of the
present study is to generating DC power and Charging
of DC Battery. The Power generations at different
speeds are measured and listed, respective graphs also
plotted.
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98 |
A Novel Approach To Detect Human Or A BOT
Bantupalli SatishKumar, Santosh Kumar Uppada
Abstract-The advent usage of internet has made all the
information to be sent and shared throughout the world in a
much simplified way. In this aspect of attaining information,
there will be majorly a great demand for understanding the
requester of particular information. With the automata that has
been developed and the intervention of robots and bots in the
communication has increased a negative impact on the
availability of correct information at current time.
Differentiation has been made by using certain Human
Interactive proofs (HIPs). Completely Automated Public Turing
Test to tell Computers and Humans Apart (CATCHA) is the
major Human Interactive proof that has been used widely. Many
image based, logical based, randomized and linguistic based
CAPTCHA techniques has been developed to have a crystal clear
difference between bots and a general Human.
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99 |
Cross-Layer Optimization for Cognitive Radio Networks
Sayali S. Mane, Prof. Dr. S. V. Sankpal
Abstract-Cross layer optimization and localization of
primary user (PU) in cognitive radio network is
formulated. The location of PU is tracked by using
Bayesian estimator. Different interference constraints are
also considered which gives coverage region boundary of
each primary user receiver. Bayesian estimator is based on
1-bit messages, referred as “interference tweet”.
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100 |
High Throughput DAB Architecture Using Maximum
Likelihood Decoding and I2C
P.Srinivasan, Mr.L.Veeraraghavan, Mr.S.Savakumar
Abstract-Today we have a wide choice of standards for audio
data compression, such as MPEG-2/4 AAC (ISO/IEC), MPEG-1
Layer 3 (MP3 ISO/IEC)], Dolby AC3 (ATSC), OggVorbis
(XIPH.ORG) , Windows Media Audio (WMA Microsoft) and
etc. For most of the recent embedded media applications, it is a
trend and must to support multi-standard audio decoding, while
the restrictions of cost, power consumption and time to market
are always tough. In this paper we have presented the hardware
design implementation of low power State transition based
encoding and maximum likelihood decoding algorithm by
replacing Huffman CODEC. To achieve high throughput with
low distortion, a 1/2 bit rate encoder and decoder is proposed.
Clock gating technique with flip flop grouping method is
proposed to achieve low power and area.
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101 |
High speed Adaptive FIR filter Implementation using
memory based optimization
K.S.Karthiga, K.N.Natarajan, S.P.Sophia
Abstract-Advancements of digital signal processing functions
in FPGA have put great efforts in designing efficient way of
multiplication for DSP functions. Conventional design of a
Digital FIR Filter based on the direct implementation of a N-tap
FIR filter requires N multiply-and-accumulate (MAC) blocks.
The Project deals with the anti-symmetric product coding (APC)
and modified odd-multiple-storage (OMS) techniques for lookuptable
(LUT) design for memory-based multiplication for
Adaptive FIR filter. The combined approach provides a
reduction in LUT size to one-fourth of the conventional LUT. It
is shown that the proposed LUT design for small input sizes can
be used for efficient implementation of high-precision
multiplication by input operand decomposition.
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102 |
Vibrant Weight Harmonizing For Cloud Computing
Using Virtual Machine
Veeresham Yamsani, Gnanender Reddy
Abstract-Cloud computing allows business customers to scale
up and down their resource usage based on needs. Many of the
Touted gains in the cloud model come from resource
multiplexing through virtualization technology. In this paper, we
present a system that uses virtualization technology to allocate
data center resources dynamically based on application demands
and support green computing by optimizing the number of
servers in use. We introduce the concept of “skewness” to
measure the unevenness in the multidimensional resource
utilization of a server. By minimizing skewness, we can combine
different types of workloads nicely and improve the overall
utilization of server resources. We develop a set of heuristics that
prevent overload in the system effectively while saving energy
used. Trace driven simulation and experiment results
demonstrate that our algorithm achieves good performance.
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103 |
Ethno-medicinal plants used for treatment of gynecological Disorders
by tribal of Shivpuri district of Madhya Pradesh
Ramdayal Jatav, Rakesh Mehta
Abstract-Medicinal plant resources of forest origin
are extensively used in India for various systems of
medicine like Ayurveda, Homoeopathy, Allopathy,
Siddha and Ethnic etc. The present paper deals
with the Ethno medicinal plants used by the tribes
of Shivpuri district. The tribals depend on the
herbal medicines for curing various gynecological
disorders. Ethno-gynecology means the medical
practices for the treatment of Shivpuri district for
their healthcare needs. The present paper
documented 59 medicinal plants of Shivpuri district
belonging to 52 genera and the local health healers
for the treatment of gynecological diseases used 27
families. The medicinal plants used by the
traditional users of Shivpuri district are arranged
alphabetically followed by botanical name, local
name, family, parts used and medicinal uses. The
binomial names are enumerated with utilization of
these plants. Further studies were suggested to
validate the claims and herbal drug development
for treatment of such disorder.
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104 |
A Study On Data Replication Techniques In MANETs
P.Arivalagan, D.Prabakar, S. Karthik
Abstract-Mobile Ad-hoc Network (MANET) is a collection of wireless mobile nodes are connected in dynamic manner. Mantes are dynamic topology because of node mobility. Nodes must behave as routers, The routers are free to move randomly and organize themselves at random. MANET is a fast growing area of research to find in variety of applications. This paper aims to provide a means of understanding the designing issues of MANETs. This paper describes data replication is taken as main problem in mobile adhoc networks also identifies data replication Techniques in MANETs and also investigating the behaviour of data replication techniques. In addition, this paper also proposes s criteria for selecting appropriate data replication techniques for various application requirements.
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105 |
Study On Various Methodologies In Facial Expression Recognition
N.Satheesh Kumar, P.Sundaramoorthy, S. Karthik
Abstract-In human communication facial Expression plays an significant role. Facial Expression Recognition (FER) is a process of detecting the face in the image and the face region will be preprocess, features are extracting from image by analyzing change in the appearance of facial features and classifying this information into facial expression categories like prototypic facial expression such as fear, happy, sad or Action Units(AU) such as eye open or mouth stretched. Face Expression Recognition techniques have always been a very challenging task in real life applications because of the variations in their appearance, pose and occlusion. This paper addresses a methodology for face expression recognition.
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106 |
Placement Driven Clock Gate Cloning and
Fan-out Redistribution on 28nm Processor
G Anilkumar, M Kranthi kumar
Abstract-Most widely used low power technique for reducing
dynamic power is Clock Gating. The clock gating strategy
employed has a huge bearing on the clock tree synthesis quality
along with the impact to leakage and dynamic power. This paper
proposes a technique for clock gate optimization to aid clock tree
synthesis. The technique enables cloning and redistribution of the
fan-out among the existing equivalent clock gates. The technique
is placement aware and hence reduces overall clock wire length
and area. The method involves employing the “K means clustering
algorithm” to geographically partition the design’s registers. This
enables better clock tree quality entitlement during clock tree
synthesis in terms of clock tree area, power and better local skew
distribution.
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107 |
Scalability Of Phase Based Binarization Of Archaic Document Images
V.Arivumalar@Suganya,Mrs.K.Rejini
Abstract-Text segmentation between the foreground and
background images is high challenging task because of large
inter/intra variation. Human visual system is able to detect
blur and evaluate sharpness of visual images. An image
captured by an imaging system represents the degraded
version of an original image due to the additive noise.
Document image binarization is of great importance in the
document image analysis and recognition pipeline.It affects
the stages of the recognition process and identifies pixel-based
binarization evaluation methodology for archaic
handwritten/machine-printed document images.Also the,
rates of broken and missed text, false alarms, background
noise, character enlargement, and merging are identified. The
first two steps are phase derived,then Gaussian and Trimmed
median filter are used in the post processing step. One of the
outputs of the existing adaptive median filter is also removing
the needed portions of image.Based on that, use the trimmed
median filter for high performance. The pre-processing of
degraded handwritten documents including the steps of
binarization and form line removal. It shows high recall
performance to improve the binarization methodologies. Also
the mean shift method is used to fasten the ground truth
process for ancient documents.
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108 |
A Survey on Clustering Algorithm
Halima Begam .T, Vasuki. M
Abstract-Cluster analysis is the procedure of
grouping of data rendering their similarity and
dissimilarity. clustering has several clustering
algorithm like connectivity based, grid based, density
based, hierarchical based each having its own
characteristics which fulfills the following criteria
such as arbitrary shapes, spherical shapes, high
dimension databases and so on. From this survey we
see about the detailed information of each technique
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109 |
Solar energy conversion using hybrid 13-
Level H-bridge inverter
A.Subramani, Dr.S.Senthilkumar
Abstract-This Paper has emerged recently
as a very important alternative in the area of
high-power medium voltage energy control.
The multilevel voltage source inverters
unique structure allows them to obtain high
voltages with reduced harmonics without the
use of transformers or series connected
switching devices. The general function of the
multilevel inverter is to provide a required
AC output voltage from several levels of dc
input voltage for these reason multilevel
inverters can easily used for the high power
applications. In this paper we used three
phase 13-level inverter for better accuracy
with reduced harmonic distortion in the
output waveform. The proposed system used
the topology of cascade H-Bridge Multilevel
inverter with separate dc sources for the
switching circuit. As the number of step level
and voltage increases in the output waveform
has more steps, which produces a desired
output waveform with low harmonic
distortion. Application of multilevel inverter
for high power equipments in industry has
become popular because of its high-quality
output waveform.
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110 |
Clutter Density Model Recognition
Using Multi Target Tracking
M.aswini, R. Femila Goldy
Abstract-Tracking a group of targets in video
sequences has used in many application like security
monitoring, traffic flow measuring, accident detection
on highways. The main aim is to obtain a record of the
trajectory of the moving objects in the video like human
or vehicles over space and time by processing the video
data. The moving target tracking the target can go
non-rigid deformation, rotations or occlusion. In multi
target tracking the video is loaded and converted into
frame based on the video sequence. After that the
Pre-processing is applied to the frames for filtering
process. Then the pre-processed frame is taken for
background subtraction method. In background
subtraction method the static pixels are identified and
removed. Then the moving targets are identified and
labelled. The resulting identified object is then
compared with the image dataset to recognize the
person. Finally the person action in the video is
identified by compare with the action dataset.
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111 |
A Proposed Approach For Image De-Noising
Baljinder Kaur, Varinderjit Kaur
Abstract-Wavelet thresholding is an admired move
toward the de-noising, due to its unfussiness. This
procedure operates in the orthogonal wavelet domain,
where every coefficient is threshold by comparing
adjacent to a threshold. Because the information,
which is transmitted in the form of digital images, is
obsequious for Visual information, which is becoming
a major means of communication in the recent era.
But the image obtain after diffusion is often tarnished
with noise. The received image demands
processing before it can be used in applications.
Image de-noising involves the manipulation of the
image data to construct a visually high quality
image. This paper defined proposed approach for image de- noising a nd the
existing de-noising algorithms, such as Donoho Soft
& Hard Thresholding De-noising, Standard wavelet
de-noising, Basian Thresholding De-noising, Bayes
Shrinkage De-noising, and BLS De-noising for their
comparative study. A quantitative measure of
comparison is provided by the different parameter
such as PSNR, MSE, and MAE of the image. By
implementing the proposed approached we capture
less time complexity as compare to the existing
techniques having better result for MSE, MAE &
PSNR.
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112 |
ECC-MAC: An Efficient Flow Control and Congestion Control MAC Protocol For VANETs
Nancy Sharma, Tanu Preet Singh
Abstract-Vehicular adhoc networks (VANETs) which are self organizing networks, have recently been developed to address critical issues like safety and congestion, by accumulating information and communication technologies into vehicles and transportation infrastructure. In this paper we address the congestion and medium access control (MAC) issue for VANETs. A new algorithm is proposed based on mobility models like Random way point and Manhattan which can monitor network performance from four aspects: Throughput, Delay, Packet delivery ratio (PDR), Adaptability to speed, so as to achieve the purpose of congestion control. The algorithm works at the MAC layer to avoid transmission collision in VANETs. Finally, analysis and simulation results are presented to evaluate the performance of the proposed algorithm. It is shown that the protocol based on this proposed algorithm can provide significantly lesser delays.
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113 |
A Survey on Clustering Algorithm
Halima Begam .T, Vasuki. M
Abstract-Cluster analysis is the procedure of
grouping of data rendering their similarity and
dissimilarity. clustering has several clustering
algorithm like connectivity based, grid based, density
based, hierarchical based each having its own
characteristics which fulfills the following criteria
such as arbitrary shapes, spherical shapes, high
dimension databases and so on. From this survey we
see about the detailed information of each technique
|
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