| viXra.org > Digital Signal Processing > 1211 |
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| viXra.org > Digital Signal Processing > 1211 |
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[7] viXra:1211.0150 [pdf] submitted on 2012-11-26 13:35:01
Authors: I.M. Hanafy, A.A.Salama, K. Mahfouz
Comments: 5 Pages.
Neutrosophy has been introduced by Smarandache [3, 4] as a new branch of philosophy.
Salama et al. [5] in 2012 introduced the neutrosophic data. The purpose of this paper
is to introduce a new type of data called the neutrosophic data. After given the fundamental definitions of
neutrosophic set operations due to Salama [5], we obtain several properties, and discussed the relationship
between neutrosophic sets and others. Finally, we discuss and derived a fomula for correlation coefficient,
defined on the domain of neutrosophic sets.
Category: Digital Signal Processing
[6] viXra:1211.0053 [pdf] submitted on 2012-11-10 14:00:40
Authors: D.V. Lande
Comments: 5 Pages. Language: russian
Approaches to an assessment of discriminant power of words are considered. Approaches are checked on the literary work and an array of news messages. Proposed and implemented a method of visualization level uneven occurrence of words in texts.
Category: Digital Signal Processing
[5] viXra:1211.0037 [pdf] submitted on 2012-11-07 09:25:07
Authors: D.V. Lande, S. M. Brajchewskiy
Comments: 8 Pages.
Article is devoted to studying of behavior of thematic plots in news information flows. The model assuming three independent phases in the period of existence of the plot which allows to allocate a lot of typical profiles.
Category: Digital Signal Processing
[4] viXra:1211.0016 [pdf] submitted on 2012-11-04 06:05:00
Authors: H.Venkateswara Reddy, S.Viswanadha Raju, B.Ramasubba Reddy
Comments: 15 Pages.
The proportionate increase in the size of the data with
increase in space implies that clustering a very large data set becomes
difficult and is a time consuming process. Sampling is one important
technique to scale down the size of dataset and to improve the
efficiency of clustering. After sampling, allocating unlabeled objects
into proper clusters is impossible in the categorical domain. To address
the problem, Chen employed a method called MARDL to allocate each
unlabeled data point to the appropriate cluster based on NIR and NNIR
algorithms. This paper took off from Chen’s investigation and analyzed
and compared the results of NIR and NNIR, leading to the conclusion
that the two processes contradict each other when it comes to finding
the resemblance between an unlabeled data point and a cluster. A new
and better way of solving the problem was arrived at that finds
resemblance between unlabeled data point within all clusters, while also
providing maximal resemblance for allocation of data in the required
cluster.
Category: Digital Signal Processing
[3] viXra:1211.0015 [pdf] submitted on 2012-11-04 06:06:43
Authors: S.Maruthuperumal, G.Rosline Nesakumari, V.Vijayakumar
Comments: 10 Pages.
To overcome the weak robustness problem of embedding the
watermark in the spatial domain and to provide high authentication, the
present paper presents a novel watermarking scheme with two steps. In
the step one, the proposed method modifies the original image in
transform domain and identifies the pixel location to insert the
watermark bits in the difference values between the original image and
its reference image based on a novel fuzzy logic method. To provide
high authentication and security in the step two, the watermark bits are
embedded in the pixel location selected by step one using Region based
Even Odd (REO) Method. The Fuzzy Wavelet (FW) scheme of step one
eliminates the requirement of original image for the watermark
extraction. The experimental result indicates the efficacy of the
proposed method when compared with the various other methods.
Category: Digital Signal Processing
[2] viXra:1211.0014 [pdf] submitted on 2012-11-04 06:08:49
Authors: Patil V.P.
Comments: 13 Pages.
Mobile Ad-Hoc Network (MANET) is a wireless network
without infrastructure. It is a kind of wireless ad-hoc network, and is a
self configuring network of mobile routers connected by wireless links.
The routers are free to move randomly and organize themselves
arbitrarily, thus the network's wireless topology may change rapidly and
unpredictably. Such a network may operate in a standalone fashion, or
may be connected to the larger Internet. There are various routing
protocols available for MANETs. The most popular ones are DSR,
AODV and DSDV. This paper examines two routing protocols for mobile
ad hoc networks– the Destination Sequenced Distance Vector (DSDV),
the table- driven protocol and the Ad hoc On- Demand Distance Vector
routing (AODV), an On –Demand protocol and evaluates both protocols
based on packet delivery fraction ,average end to end delay, throughput
and routing overhead while varying pause time. The performance
evaluation has been done by using simulation tool NS2 which is the main
simulator, NAM (Network Animator) and excel graph which is used for
preparing the graphs from the trace files. Simulation revealed that
although DSDV perfectly scales to small networks with low node speeds,
AODV is preferred due to its more efficient use of bandwidth.
Category: Digital Signal Processing
[1] viXra:1211.0013 [pdf] submitted on 2012-11-04 06:09:42
Authors: Abdelrahman Elleithy, Gonhsin Liu, Ali Elrashidi
Comments: 19 Pages.
In this paper we present a new model for the lifetime of wireless
sensor networks used for sea water communications. The new model for power
communications takes into consideration parameters such as power
consumption for the active mode, power consumption for the sleep mode,
power consumption for the transient mode, transmission period, transient mode
duration, sleep mode duration, and active mode duration. The power
communications model is incorporated in the life time model of wireless sensor
networks. The life time model takes into consideration several parameters such
as the total number of sensors, network size, percentage of sink nodes, location
of sensors, the mobility of sensors, power consumption when nodes move and
the power consumption of communications. The new model for power
consumption in communications shows more accurate results about the lifetime
of the sensor network in comparison with previously published results.
Category: Digital Signal Processing
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