We develop an efficient algorithm for cooperative spectrum sensing in a relay based cognitive radio network. We consider a stochastic model where data is sent from the Base Station (BS) of the Primary User (PU). The data is relayed by the Secondary Users (SU) to the SU BS. The SU BS has only partial CSI knowledge of the wireless channels. In order to obtain the optimal decision rule based on Li...

In current days, sensor nodes are deployed in hostile environments for various military and commercial applications. Sensor becoming faulty having adverse effects the network if they not diagnosed inform fault status to other nodes. Fault diagnosis is difficult when behave some times provide good data at times. The intermittent disturbances may be random or kind of spikes either regular irregul...

Advocates of maximum likelihood (ML) approaches to phylogenetics commonly cite as one of their primary advantages the use of objective statistical criteria for model selection. Currently, a particular implementation of the likelihood ratio test (LRT) is the most commonly used model-selection criterion in phylogenetics. This approach requires the choice of a starting point and a parameter additi...

Estimation of genetic parameters is the most important component of an organized selection program. With respect to economic traits, such as wool and mutton traits, production costs can be reduced through a suitable selection program focused on genetic improvement. This study aimed to evaluate genetic parameters of fleece and post-weaning growth traits in sheep. Greasy fleece weight at 6, 16, 2...

This paper studies the detection of Least Significant Bits (LSB) steganography in digital media by using hypothesis testing theory. The main goal is threefold: first, it is aimed to design a test whose statistical properties are known, this especially allows the guaranteeing of a false alarm probability. Second, the quantization of samples is studied throughout this paper. Lastly, the use of a ...

The normal distribution approach is often used in regression analysis at the Response Surface Methodology (RSM) modeling stage. Several studies have shown that has drawbacks compared to more robust t-distribution approach. found control size much successfully small samples existing methods presence of moderately heavy tails. In many RSM applications, there than one response (multiresponse), whi...

This study aims to compare the Wald test and likelihood ratio (LRT) approaches with Classical Test Theory (CTT) Item Response (IRT) based differential item functioning (DIF) detection methods in context of cognitive diagnostic models (CDMs), using TIMSS 2011 dataset as a retrofitting study. CDMs, which have significant potential when determining DIF their contribution validity, can give confide...

The high rates at which digital multimedia is being generated and used makes it necessary to develop systems that can process it in an efficient manner. This can be achieved by extracting semantics from processing the video’s low-level information. We present a novel algorithm which fuses color and motion information, in order to extract semantics from the video sequence. The motion estimates a...