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encompassing the most basic research to the most innovative and radical ideas. Please
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review, we will edit the necessary information at our side. Submissions to IJRIC
should be full research / review papers (properly indicated below main title in
case of review paper). | | |
International
Journal of Reviews in Computing
Volume
7
Sept 2011 |
Title |
GROUP OF RECURRENT NEURAL NETWORKS |
Authors |
NEERAJ SAHU, A. K. VERMA |
Abstract |
In this paper we present two
models of a three node recurrent neural networks. In the first model a
closed recurrent neural network generates a limit cycle. We have shown
that the solution given by the system of nonlinear coupled differential
equations is bounded and besides trivial equilibrium the network has a
unique equilibrium point. The second model describe an open recurrent
neural network agreed by the nonlinear coupled differential equations
with bounded solution having no closed orbits around the unique
equilibrium point |
Keywords |
Equilibrium Point, Limit Cycle,
Lyapunov Functionals, Contraction Mapping Principle, Bendixsons
Criteria |
Source |
International
Journal of Reviews in Computing |
pp 01-08 |
Vol. 7 |
Full Text |
Title |
SECURE ROUTING PROTOCOLS IN MOBILE ADHOC NETWORKS-A SURVEY AND TAXANOMY |
Authors |
UMANG SINGH |
Abstract |
Mobile Ad hoc Networks are assortment of mobile terminals or nodes,
allowing no stationary infrastructure and centralized administration. A
performance evaluation of routing protocol is very cumbersome due to
various metrics involving dynamic topologies, mobility, routing limited
resources, security etc. In this paper, various existing routing
protocols were reviewed. It has been analyzed that efficiency of
existing routing protocol degrades in the presence of attacks. Keeping
in various attacks reports in literature and the protocol security
algorithm; this paper attempts to review all such secure routing
protocols comparing their relative metric and requirements |
Keywords |
Adhoc Network, Routing, Classification, Attacks, Secure Routing
Protocols |
Source |
International
Journal of Reviews in Computing |
pp 09-17 |
Vol. 7 |
Full Text |
Title |
REVIEW ON MOTIVATION FOR SELECTION OF OPEN SOURCE SOFTWARE LICENSE: AN
ECONOMIC AND SOCIAL PERSPECTIVE |
Authors |
M.ABDUL QADOOS BILAL KHAN, SHAHBAZ AHMED KHAN GHAYYUR, ZULQARNAIN HASHMI,
FALAK SHER |
Abstract |
Open source software development is a concept of build software by
mutual sharing of source code. It is also software which released under
such license which gives equal rights to both developers and users. In
decade of 1980’s Richard Stallman become pioneer of open source license,
because it built a free software foundation, which legalized the above
mentioned statement by introduced GNU GPL license. By introducing this
open source software license the use, modification and redistribution of
source code become legal for both users and developers.This feature of
open source software movement becomes blinking star in the closed source
software. Therefore developer community becomes highly motivated for
providing its services. This feature also encourages the community to
introduced more open source software licenses. As a result of this
community has developed a number of open source software licenses. Where
different open source software licenses provide different features there
they provide some restriction also on their licensees. The selection of
open source software license is an important task. Anybody which selects
a specific open source software license must have some motivational
factors which force him in selection of that license.Therefore we
conducted a reviewon motivational factors of developers. In this review,
we accumulated those motivational factors, which forced an individual to
take part in open source software development and those motivational
factors on which an individual took decision about selection of open
source software license. We analyzed the publications on this topic.
These publications provided us the evidences for motivation of
developers. The reported motivational factors will help us in designing
the survey. This survey will help us in identifying new motivational
factors in selection of open source software. This will be a good
addition in this knowledge area and will help the practitioners |
Keywords |
Open source software, Closed Source software, Open source software
License |
Source |
International
Journal of Reviews in Computing |
pp 18-21 |
Vol. 7 |
Full Text |
Title |
EFFECT OF DIFFERENT NEURAL NETWORKS ON THE ACCURACY IN
IRIS PATTERNS RECOGNITION |
Authors |
M. GOPIKRISHNAN, Dr. T. SANTHANAM |
Abstract |
A biometric system provides automatic identification of
an individual based on a unique feature or characteristic possessed by
the individual. Iris recognition is regarded as the most reliable and
accurate biometric identification system available. An approach for
accurate Biometric Recognition and identification of Human Iris Patterns
using Neural Network has been illustrated by gopikrishnan.m etal. In
this paper, based on the accurate methodology suggested by
gopikrishnan.m etal, we extend the work for optimization for Iris
Patterns recognition using two neural network models for comparing the
performance. The results from the Cascade forward back propagation
neural model and Feed forward back propagation network model have been
found to be better than the results presented in the literature using
the above two network models. The performance of Cascade forward back
propogation network model is better than the Feed forward back
propagation network model |
Keywords |
Iris Recognition, Biometric Identification, Pattern
Recognition, Automatic Segmentation |
Source |
International
Journal of Reviews in Computing |
pp 22-28 |
Vol. 7 |
Full Text |
Title |
A NOVEL APPROACH FOR OPTIMAL PLACEMENT OF DISTRIBUTED
GENERATION & FACTS CONTROLLERS IN POWER SYSTEMS: AN OVERVIEW AND KEY
ISSUES |
Authors |
BINDESHWAR SINGH, K.S. VERMA, DEEPENDRA SINGH, AND S.N.
SINGH |
Abstract |
This paper presents a state-of-the-art on enhancement of
different performance parameters of power systems by optimally placed
Distributed Generation (DG) & FACTS controllers in power Systems. Also
this paper presents the current status on enhancement of different
performance parameters of power systems by optimally placed Distributed
Generation & FACTS controllers in power Systems. Authors strongly
believe that this survey article will be very much useful to the
researchers for finding out the relevant references in the field of the
enhancement of different performance parameters of power systems by
optimally placed Distributed Generation (DG) & FACTS controllers in
power Systems |
Keywords |
Distributed Generation (DG), Flexible AC Transmission
Systems (FACTS), FACTS Controllers, Power Systems |
Source |
International
Journal of Reviews in Computing |
pp 29-54 |
Vol. 7 |
Full Text |
Title |
UTILITIES OF DIFFERENTIAL ALGEBRAIC EQUATIONS (DAE) MODEL
OF SVC AND TCSC FOR OPERATION, CONTROL, PLANNING & PROTECTION OF POWER
SYSTEM ENVIRONMENTS |
Authors |
BINDESHWAR SINGH |
Abstract |
This paper presents the development of the differential
Algebraic equation (DAE) model of various FACTS controllers such as TCSC
and SVC for operation, control, planning &protection of power systems.
Also this paper presents the current status on development of the DAE
model of various FACTS controllers such as TCSC and SVC for operation,
control, planning &protection of power systems. Authors strongly believe
that this article will be very much useful to the researchers for
finding out the relevant references in the field of the DAE model of
FACTS controllers for operation, control, planning & protection of power
systems |
Keywords |
Flexible AC Transmission Systems (FACTS), FACTS
Controllers, Differential Algebraic Equations (DAE) model, Thyristor
Controlled Series Capacitor (TCSC), Static Var Compensator (SVC), Power
Systems |
Source |
International
Journal of Reviews in Computing |
pp 55-63 |
Vol. 7 |
Full Text
Title |
A SURVEY OF INTERFERENCE CANCELLATION IN BIOSIGNALS |
Authors |
C.KEZI SELVA VIJILA, P.KANAGASABAPATHY, EBBIE
SELVA KUMAR |
Abstract |
Interference cancellation is widely used in a number of
application such as acoustic and speech signal processing, data
communication, biological signal acquisition etc. Many papers with
different approaches have been reported to cancel interferences in
biosignals. This paper provides a survey of existing methods for
interference cancellation in ECG signal, FECG signal, EEG signal, and
EMG signal, and also includes the survey of interference cancellation
using some AI techniques. The outline of the methods used for
interference cancellation is shown in Figure 2.1. Interference
cancellation in biosignals can be implemented using non-adaptive and
adaptive methods. Techniques based on prior knowledge of the signal and
the noise characteristics such as averaging, correlation etc have been
widely used for interference cancellation in biosignals. But the
drawback of non-adaptive techniques is that they are time invariant in
nature. This problem has been overcome by the adaptive methods, which
comprise the AI techniques. This paper provides the detailed survey of
interference cancellation in different biosignals |
Keywords |
Interference Cancellation, Biosignals, Survey, Artificial
Intelligence, Adaptive, Non-Adaptive |
Source |
International
Journal of Reviews in Computing |
pp 64-83 |
Vol. 7 |
Full Text |
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