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Mean Square Sense (m.s)

Random Crank Nicolson Scheme for Random Heat Equation in Mean Square Sense

Random Crank Nicolson Scheme for Random Heat Equation in Mean Square Sense

... The random heat equation can be solved numerically by using mean square convergent Crank-Nicolson scheme. The random variable in the Crank-Nicolson scheme is must second order random variable and the random ...

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Integral Inequality and Exponential Stability for Neutral Stochastic Partial Differential Equations with Delays

Integral Inequality and Exponential Stability for Neutral Stochastic Partial Differential Equations with Delays

... For example, Caraballo, in 1, extended the results from Haussmann 7 to the delay equations of the same kind; Mao, in 15, 21, proved the exponential stability in mean-square sense about t[r] ...

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An Arzela Ascoli type theorem for random functions

An Arzela Ascoli type theorem for random functions

... That is, assume that a linear combination of n uncorrelated families of random functions each of which is uniformly bounded in mean square and equicontinuous in mean square sense has at [r] ...

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Approximation of multidimensional stochastic processes from average sampling

Approximation of multidimensional stochastic processes from average sampling

... In this paper, we have analyzed the convergence property of sampling series, the estimate of truncation error in the mean square sense and the almost sure results on sampling the- orem for ...

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SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED 
METHOD

SECRET DATA HIDING BY OPTIMIZING GENERAL SMOOTHNESS DIFFERENCE EXPANSION BASED METHOD

... In the recent years, the crude oil is one of the most important commodities worldwide. This paper discusses the prediction of crude oil using artificial neural networks techniques. The research data used in this study is ...

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Mean Square Cordial Labeling of Some Snake Graphs

Mean Square Cordial Labeling of Some Snake Graphs

... on mean square cordial ...of mean square cordial and they have investigated the same for some special graphs in [5,6,7] Dhanalakshmi et al explored some ideas on mean square ...

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High precision experimental statistics for the selection of common bean lines that have superior agronomic performance

High precision experimental statistics for the selection of common bean lines that have superior agronomic performance

... For the number of pods per plant, the largest BMS resulted in larger EMS, M, A, and SMD. This can be attributed to the large variation observed among common bean genotypes for the number of pods per plant between ...

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Least Mean Square (LMS) for Smart Antenna

Least Mean Square (LMS) for Smart Antenna

... In this paper, we analysis the performance of adaptive (LMS) algorithm for smart antenna systems which very important for smart antenna design. The SA incorporates this algorithm in coded form which calculates complex ...

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Analysis of the accuracy of GPS Trimble JUNO ST measurement in the conditions of forest canopy

Analysis of the accuracy of GPS Trimble JUNO ST measurement in the conditions of forest canopy

... average mean square error of the measurement of XY coordi- nates in the interval of ...5.1 m (without corrections and depending on the time of ...

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, M. S.

, M. S.

... The proposed infrastructure is going to help deal with the extraordinary situations during epidemic and pandemics similar to what the world is currently facing in the form of[r] ...

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Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System

Comparative Study of Adaptive Filter Algorithm of a QO-STBC Encoded MIMO CDMA System

... In this study MATLAB-SIMULINK based QO-STBC encoded MIMO CDMA system for LMS, NLMS and RLS adaptive filter algorithms are compared on the basis of convergence speed and root mean square error (RMSE). It has ...

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4.	M. Abdelhamid, S. E. A. Ebraheam, Rehab F. S. A. Ismael and M. S. M. M. El-Meligy

4. M. Abdelhamid, S. E. A. Ebraheam, Rehab F. S. A. Ismael and M. S. M. M. El-Meligy

... Analysis of variance showed none significant (P>0.05) difference between groups and interaction for female buffalo fed PG and CP treatment as a source of energy. Results observed in Table8during three times and ...

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FLIGHT PHYSIOLOGY OF NEOTROPICAL BUTTERFLIES: ALLOMETRY OF AIRSPEEDS DURING NATURAL FREE FLIGHT

FLIGHT PHYSIOLOGY OF NEOTROPICAL BUTTERFLIES: ALLOMETRY OF AIRSPEEDS DURING NATURAL FREE FLIGHT

... Field work was carried out during September–November 1989, May–July 1990, May–June 1991 and May–June 1992, during the rainy season (May–December in central Panama). No measurements were made during actual periods of ...

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M. S.

M. S.

... NiV is an envelope virus with a filamentous nucleocapsid. Its genome is non-segmented, negative sense, single stranded RNA virus varying in size from 120 to 500 nm. The genome is large around 18,250 nucleotides as ...

6

S. M.

S. M.

... A study on obesity and factors influencing physical activity among adolescents aged 11-15 years in urban school of Coimbatore. Myers L, Strikmiller PK, Webber LS, Beren[r] ...

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Vol 7, No 9 (2016)

Vol 7, No 9 (2016)

... We begin with simple, finite, connected and undirected graph. For standard terminology and notations we follow Harary [1]. A graph labeling is an assignment of integers to the vertices or edges or both subject to certain ...

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RMSE (Root Mean Square Error), respectively.

RMSE (Root Mean Square Error), respectively.

... In this research, we are interest in time series analysis with the most popular method, that is, the Box and Jenkins method [3]. The result model of this method is quite accurate compared to other methods and can be ...

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Improvement of the Preliminary Test Estimator When Stochastic Restrictions are Available in Linear Regression Model

Improvement of the Preliminary Test Estimator When Stochastic Restrictions are Available in Linear Regression Model

... the sense of mean square error matrix (MSEM) and scalar mean square error (SMSE) for the two cases in which the stochastic restrictions are correct and not ...

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Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms

Statistical Study of Least Mean Square and Normalised Least Mean Square Algorithms

... Where (n) is periodic with period T. Hence, X(n) is a discrete time wide sense cyclostationary process. Although this model is not general, it defines a non-trivial model. It allows the input to display a simple ...

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Fuzzy control chart analysis of mean waiting time in M / M / S queuing model

Fuzzy control chart analysis of mean waiting time in M / M / S queuing model

... Let P (x, y) and P ~ ( ~ λ , μ ~ ) denote the parameters of the control chart relating to mean waiting time of customers in the crisp and fuzzy environments respectively, where P stands for the control chart ...

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