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The adaptive filter is an important workhorse of digital signal processing having a vast variety of applications in almost every branch of modern electronics. Today there is an abundance of algorithms with different performance and computational characteristics. In this paper we address the class of delayless subband adaptive filters (SAF). Although this class of adaptive filters have been popular...
We consider the problem of joining two long time series based on their most correlated segments. Two time series can be joined at any locations and for arbitrary length. Such join locations and length provide useful knowledge about the synchrony of the two time series and have applications in many domains including environmental monitoring, patient monitoring and power monitoring. However, join on...
Unsupervised feature selection is an important issue for high dimensional dataset analysis. However popular methods are susceptible to noisy instances (observations) or noisy features. We propose a noise-resistant feature selection algorithm by capturing multi-perspective correlations. Our proposed approach, called Noise-Resistant Unsupervised Feature Selection (NRFS), is based on multi-perspective...
Identify & measure social relations has been proposed as a method for information routing in opportunistic networks. In this paper, we design a social-relations-based routing algorithm (SRBRA), which overcomes the common issues in existing identify &measure social relation algorithms, such as the deficiency of measuring parameters and the restrict usage of application domain. Firstly,...
Time lapse fluorescence microscopy can be used to monitor the behaviour of individual cells over time, but the imaging results can be affected by the inherent problem of overlapping emission spectra, commonly referred to as cross-talk. Various spectral unmixing methods have been adopted to solve this problem, thereby estimating the original signal from the observed mixture. The methods for evaluating...
In order to acquire infrequent events as new ideas and evaluate the ideas quantitatively, it is necessary to know how people create and refine ideas and to model creating and refining process. In this paper, we focused on relations between thinking time and writing time in handwriting, and proposed to model the relation by externalization, classification, relation, transportation and systematization,...
Correlation between channel state and source symbol is under investigation for a joint source-channel coding problem. We investigate simultaneously the lossless transmission of information and the empirical coordination of channel inputs with the symbols of source and states. Empirical coordination is achievable if the sequences of source symbols, channel states, channel inputs and channel outputs...
Microarray technology has led to a great advance in biological studies due to its ability to monitorize the RNA levels of a vast amount of genes under certain experimental conditions. The use of computational techniques to mine hidden knowledge from these data is of great interest in research fields such as Data Mining and Bioinformatics. Finding patterns of genetic behavior not only taking into account...
This paper proposes a new approach for clustering English text documents, based on finding the pair wise correlation of documents in a given set of text documents. The correlation coefficient for each pair of documents is calculated on the basis of ranks given to the words in the documents. The ranking of the words occurring in a document is computed on the basis of weights of the words calculated...
The research work is focused to study the influence of weather parameters on the incidence of pests on cotton from the period 2006 to 2010 at Acharya N. G. Ranga Agricultural University, Lam farm, Guntur. Multiple Linear Regression (REG) and Generalized Linear Model (GLM) techniques are used to analyze the pooled pest's data statistically along with weather parameters by SAS (Statistical Analysis...
The ambiguity in tracking of Multiplexed Binary Offset Carrier (MBOC) modulated signals will severely degrade the tracking accuracy. Therefore, unambiguous tracking for MBOC is crucial prerequisite for modern Global Navigation Satellite System (GNSS) receivers. In this paper, a new unambiguous technique is proposed based on combined correlation functions for MBOC which are used in the Galileo E1 band...
In this paper, we study the received signal strength (RSS) based localization problem with correlated shadowing between pairs of RSS measurements. By linearizing the correlated RSS model, a weighted least squares (WLS) is formulated to obtain the target location. We also study the correlated shadowing when differential received signal strength (DRSS) is deployed as measurements. Numerical simulations...
In this paper a 2D stochastic EMI source identification algorithm based on time domain measurements of electromagnetic near-field tangential components is presented. The radiating structure is considered as a set of simple electrical dipoles arranged on grid in the object plane. The autocorrelation and cross-correlation spectra are used for the characterization of stochastic field distribution. These...
The queueing system with renewal arrival process, two types of customers, infinite number of servers and exponential service time is considered. Investigation of two-dimensional stochastic process that characterizes the number of busy devices for different types of customers is held by the method of initial moments.
Numerical investigation of capillary annular condensation is conducted. The conservation equations have been solved in both phases for variable heat flux imposed in outer wall of the micro-condenser. The results indicate that the film thickness, the Nusselt number and the condensation length are determined by the physical and geometrical parameters. A larger exponent of heat flux imposed on the outer...
It is important for hydropower plants owner in the electricity market to work on the errors of forecasted prices. The paper established the profits maximization model, which treated the price as stochastic and considered correlation between adjacent intervals. We apply a risk assessment tool to research on the risk of the surplus profit. To investigate whether a generation schedule is profitable or...
In this paper, a novel method is proposed for the Traffic Sign Recognition (TSR) using the Principle Component Analysis (PCA) and the Multi-Layer Perceptrons (MLPs) network. In particular, the candidate signs are individually detected from two chroma components in the YCbCr space and then classified into three shape classes: circle, square, and triangle based on computing the rotated version correlations...
In this study, we carried out several simulations by investigating numerically an important geometrical factor in the corrugated tubes, very known in heat exchangers technology and applied in solar and desalination plants, specifically we focused our interest on the influence of the pitch length parameter over the heat transfer in these tubes using CFD (ANSYS/FLOTRAN). The used duct is a cylindrical...
Customer Classification has important role in Customer Relationship Management (CRM) and has been applied in many industries, such as retail and manufacturing. However, there is no single model purposely created only for telecommunication wholesale segment, especially IP Transit. This research develops a model for customer classification with consideration of all aspects of customer - company relationship...
Microcantilever based sensors are very promising devices for biochemical applications. They usually operate in two modes. In the first one a microcantilever static bending induced by the surface stress is observed, while in the second mode, resonant frequency shift caused by mass loading is measured. In the paper, the real-time noise analysis (RTNA) technique is presented. It is based on ARMA process...
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