3,325 research outputs found

    Sharp weighted estimates for multi-frequency Calder\'on-Zygmund operators

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    In this paper we study weighted estimates for the multi-frequency ω\omega-Calder\'{o}n-Zygmund operators TT associated with the frequency set Θ={ξ1,ξ2,,ξN}\Theta=\{\xi_1,\xi_2,\dots,\xi_N\} and modulus of continuity ω\omega satisfying the usual Dini condition. We use the modern method of domination by sparse operators and obtain bounds TLp(w)Lp(w)N1r12[w]Ap/rmax(1,1pr), 1r<p<,\|T\|_{L^p(w)\rightarrow L^p(w)}\lesssim N^{|\frac{1}{r}-\frac{1}{2}|}[w]_{\mathbb{A}_{p/r}}^{max(1,\frac{1}{p-r})},~1\leq r<p<\infty, for the exponents of NN and Ap/r\mathbb{A}_{p/r} characteristic [w]Ap/r[w]_{\mathbb{A}_{p/r}}

    A Comparative Study of Forbush Decrease Events of February and August, 1999

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    Control-structure interaction in a free beam

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    A simple energy approach to study the problem of control structure interactions in large space structures is presented. For the illustrative case of a free-free beam, the vibrational energy imparted during operation of constant, step, and pulsed thrusters is found in a nondimensional closed form. Then based on a parametric study, suggestions are made on the choice of parameters to minimize the control structure interactions. The study of this simple system provides physical insight and understanding for more complex systems

    FP-tree and COFI Based Approach for Mining of Multiple Level Association Rules in Large Databases

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    In recent years, discovery of association rules among itemsets in a large database has been described as an important database-mining problem. The problem of discovering association rules has received considerable research attention and several algorithms for mining frequent itemsets have been developed. Many algorithms have been proposed to discover rules at single concept level. However, mining association rules at multiple concept levels may lead to the discovery of more specific and concrete knowledge from data. The discovery of multiple level association rules is very much useful in many applications. In most of the studies for multiple level association rule mining, the database is scanned repeatedly which affects the efficiency of mining process. In this research paper, a new method for discovering multilevel association rules is proposed. It is based on FP-tree structure and uses cooccurrence frequent item tree to find frequent items in multilevel concept hierarchy.Comment: Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 7 No. 2, February 2010, USA. ISSN 1947 5500, http://sites.google.com/site/ijcsis

    Water Quality Analysis of the Lake and Weather Studies at Keoladeo National Park, Bharatpur

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    Keoladeo National Park, situated between 27⁰ 7.6' to 27⁰ 12.2' N and 77⁰ 29.5 to 77⁰ 33.9' E, is two Southeast of the Bharatpur city, 38 Km Southwest of Mathura and 50 Km West of Agra. Delhi is 180 Km. North of Bharatpur. The total area of the park is about 29 Sq.Km. It is flat with a gentle slope towards the centre forming a depression, the total area of which is about 8.5 Sq.Km. This is a main submersible area of the park. The average elevation of the area is about 174 meters. The submersible area has been divided into various unequal compartments by means of dykes
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