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ISSN 1556-6757 |
SJI |
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Volume
2, Issue 1, 2008
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Abstract
Privacy is needed in
adhoc networks. Designing a security protocol for ad hoc wireless is a
very challenging task.
There are various kinds of attacks possible on adhoc network. In this
paper, secured on demand position based private routing algorithm is
proposed for communication anonymity, which provides a security in
mobile adhoc networks. Here, we use cryptography algorithm for providing
security to prevent message hacking information from internal and
external attackers. The position information of nodes is drawn by GPS
(Global Positioning System). Here, we provide a terminal node, which
behaves like server to collect position information of nodes in the
network. Simulation has been carried out for evaluating the security of
ad-hoc networks. It provides a secure data transmission between the
nodes. In our design, the server with the process of GPS system records
all the information about the
terminal nodes involved
in the ad-hoc networks. In this paper, we proposed a new protocol using
cryptographic techniques
to analyze and find the optimal route.
Full Article
Abstract
Building a natural
language interface for a database has been an interesting task since the
70‟s, which often requires creating a semantic parser. A study on using
an advanced inductive logic programming (ILP) approach for semantic
parser induction that combines different ILP learners to learn rules for
ambiguity resolution is presented. Accuracy of the resulting induced
semantic parser can be significantly improved due to the learning of
more descriptive rules than those of each individual ILP learner. The
task of learning semantic parsers in two different real world domains
was attempted and results demonstrated that such an approach is
promising.
Full Article
Abstract
Authors have developed a
Group Method of Data Handling (GMDH) type algorithm for designing
multilayered neural networks. The algorithm is general enough that it
will accept any number of inputs and any sized training set. Each neuron
of the resulting network is a function of two of the inputs to the
layer. The equation for each of the neurons is a quadratic polynomial.
Several forms of the equation are automatically tested for each neuron
to make sure that only the best equation of two inputs is kept. All
possible combinations of two inputs to each layer are also tested by the
algorithm and only the best neurons at each level are retained. The
algorithm’s goal is to create as accurate network as possible while
minimizing the size of the network. Software was developed to train and
simulate networks using our algorithm. Several applications were modeled
using our software, and the results demonstrate that our algorithm
succeeded in developing small, accurate and multi-layer networks. This
paper further presents the hardware implementation of the algorithm that
consumes less power than other such systems.
Full Article
Abstract
A recent paper [1]
described the design of a system called Semantic Bridge which provides
programmable access to unknown remote data. This paper describes an
implementation of that
system in the context of a prototype domain for business process
integration. With the use of several standard technologies such as XML,
SOAP, Java servlets, and Java connector technologies, Semantic Bridge
offers users the ability to write a single program that can run without
change on all systems. The results demonstrate a proof of concept for
this unique and unprecedented solution for distributed computer systems
which can be extended to any domain with information sharing needs.
Full Article
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