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    cell. Electron Device Lett. 2004; 25:37. Blakers AW‚ Stocks MJ‚ Weber KJ‚ Everett V‚ Babaei J‚ Verlinden P‚ Kerr M‚ Stuckings M‚ Mackey P. Sliver® solar cells. Proc. 13th Workshop on Crystalline Si Solar Cell Materials and Processes‚ Vail‚ Colorado; 2003. Weber KJ‚ Blakers AW‚ Everett V‚ Franklin E. Results of a cost model for Sliver® cells. Proc. 21st European Photovoltaic Solar Energy Conf.‚ Dresden‚ Germany; 2006‚ p. 1314-7. Franklin E‚ Everett V‚ Blakers A‚ Weber K. Sliver solar cells: high-efficiency

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    References: [10] A. Efros and T. Leung. Texture synthesis by non-parametric sampling. In Proc. ICCV‚ pp. 1033–1038‚ Kerkyra‚ Greece‚ Sep 1999. [11] W.T. Freeman‚ E.C. Pasztor‚ and O.T. Carmichael. Learning lowlevel vision. Int. J. Computer Vision‚ 40(1):25–47‚ 2000. [16] H. Igehy and L. Pereira. Image replacement through texture synthesis. In Proc. Int. Conf. Image Processing‚ pp. III:186–190‚ 1997. [17] G. Kanizsa. Organization in Vision. Praeger‚ New York‚ 1979. on

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    2d Iir Beam Filter

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    References: [1] S. Ries and T. Kaiser‚ “Towards beamforming for UWB signals‚” in Proc. EUSIPCO‚ 2004‚ pp. 829–832. [2] UWB Communication Systems—A Comprehensive Overview‚ M.-G. D. Benedetto‚ T. Kaiser‚ A. F. Molisch‚ I. Oppermann‚ C. Politano‚ and D. P. ‚ Eds. New York: Hindawi‚ 2006. [3] L. Liang and S. V. Hum‚ “Experimental characterization

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    tax research problem

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    48-1(e)(2) further defines the term “structural components” to mean such parts of a building as walls‚ as well as any permanent coverings components (whether in‚ on‚ or adjacent to the building) of a central air conditioning or heating system. Rev. Proc. 87-57(2)(.05) describes an asset as “placed/put into service” as when the taxpayer sets the newly acquired property in place and that the asset property is prepared and accessible to operate. This date starts the recovery period for deducting depreciation

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    Taking Vanet to the Clouds

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    The current issue and full text archive of this journal is available at www.emeraldinsight.com/1742-7371.htm Taking VANET to the clouds Stephan Olariu Department of Computer Science‚ Old Dominion University‚ Norfolk‚ Virginia‚ USA Taking VANET to the clouds Ismail Khalil Department of Telecooperation‚ Johannes Kepler University‚ Linz‚ Austria‚ and 7 Received 30 December 2010 Revised 5 January 2011 Accepted 14 January 2011 Mahmoud Abuelela Department of Computer Science‚ Old Dominion

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    The Honors and Awards

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    Solomon H. Snyder BORN: Washington‚ D.C. December 26‚ 1938 EDUCATION: Georgetown College‚ Washington‚ D.C. (1955–1958) Georgetown Medical School‚ Washington‚ D.C. M.D. Cum Laude (1962) APPOINTMENTS: Research Associate‚ NIH‚ (1963–1965) Resident‚ Psychiatry‚ Johns Hopkins (1965–1968) Assistant (1966–1968)‚ Associate (1968–1970)‚ Full (1970– ) Professor‚ Johns Hopkins‚ Pharmacology and Psychiatry Distinguished Service Professor of Neuroscience Pharmacology and Psychiatry‚ Johns Hopkins

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    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS‚ VOL. 7‚ NO. 2‚ APRIL 2010 333 Satellite Image Contrast Enhancement Using Discrete Wavelet Transform and Singular Value Decomposition Hasan Demirel‚ Cagri Ozcinar‚ and Gholamreza Anbarjafari Abstract—In this letter‚ a new satellite image contrast enhancement technique based on the discrete wavelet transform (DWT) and singular value decomposition has been proposed. The technique decomposes the input image into the four frequency subbands by using

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    Chapter 3 Summarizing Data 0.1 0.2 Introduction...........................................................................Error! Bookmark not defined. A Section Title .......................................................................Error! Bookmark not defined. Demonstration: ............................... Error! Bookmark not defined. Exercises ................................................................................... Error! Bookmark not defined. 0.3 0.4 Chapter Summary .

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    Yeung‚ C.‚ 1998. How effective is unsupervised data collection for children’s speech recognition? In: Proc. ICSLP 98 Sydney‚ Australia. Arcy‚ S.‚ Wong‚ L.‚ Russel‚ M.‚ 2004. Recognition of read and spontaneous children’s speech using two new corpora. In: Proc. ICSLP 2004‚ Jeju Island‚ Korea. Banerjee‚ S.‚ Beck‚ J.‚ Mostow‚ J.‚ 2003a. Evaluating the effect of predicting oral reading miscues. In: Proc. Eurospeech 2003‚ Geneva‚ Switzerland. Banerjee‚ S.‚ Mostow‚ J.‚ Beck‚ J.‚ Tam‚ W.‚ 2003b. Improving

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    delete If Date > 31 Dec 2006 then delete USE proc timeseries to convert both bsemonthlyprices and bsesensex to monthly series and align to the end. STEP 3: Manipulate the Data and Compute Monthly Returns and Monthly Excess Returns Merge the above two files and compute stock returns and sensex returns Compute U (Excess returns over the Market) = stock returns – Market returns STEP 4: Compute the yearly return for each stock per year for all the stocks. Proc means; by year name; STEP 5: Split the

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