Digital Signal Processing

1211 Submissions

[7] viXra:1211.0150 [pdf] submitted on 2012-11-26 13:35:01

Correlation of Neutrosophic Data

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

Estimation and Visualization of Discriminant Power of Words

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

Modelling of Behaviour of Thematic Plots of News in Web Space

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

Comparing N-Node Set Importance Representative Results with Node Importance Representative Results for Categorical Clustering: an Exploratory Study

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

Region Based Even Odd Watermarking Method With Fuzzy Wavelet

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

Performance Evaluation of on Demand and Table Driven Protocol for Wireless ad Hoc Network

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

A New Model of the Lifetime of Wireless Sensor Networks in Sea Water Communications

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