Journal of Electronic Imaging 13(1), 146 – 165 (January 2004). Survey over image thresholding techniques and quantitative performance evaluation Mehmet Sezgin ¨ ˙ Tubıtak Marmara Research Center Information Technologies Research Institute Gebze, Kocaeli Turkey E-mail: sezgin@btae.mam.gov.tr ¨ Bulent Sankur ˇ ¸ Bogazici University Electric-Electronic Engineering Department Bebek, ˙stanbul I Turkey Abstract. We conduct an exhaustive survey of image thresholding methods, categorize them, express
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Magnetotransport in Modulated Graphene by Rubina Nasir Submitted to the Department of Physics on 25 June 2012, in partial ful…llment of the requirements for the degree of Doctor of Philosophy Abstract Recent experimental as well as theoretical works have shown that it is possible to create periodic, electric as well as magnetic, potentials in graphene. The e¤ects of these potentials on charge carriers in graphene leads to novel physical e¤ects with important consequences for transport. Whereas
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the project manager. If the student is the project manager, ask the student what s/he thinks are positive attributes for a project manager in such an example. PROBLEMS 1. a. AON network diagram [pic] b. The critical path is A–C–F–H–J with a completion time of 27 days. c. | | |
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several classes of constraints is proved as well. 1 Introduction Integrity constraints capture an important normative aspect of every database application. However, it is often the case that their satisfaction cannot be guaranteed, allowing for the existence of inconsistent database instances. In that case, it is important to know which query answers are consistent with the integrity comtraints and which are not. In this paper, we provide a logical characterization of consistent query answers
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Industrial and Systems Engineering Georgia Institute of Technology Dr. Hayriye Ayhan School of Industrial and Systems Engineering Georgia Institute of Technology Dr. Mark E. Ferguson College of Management Georgia Institute of Technology Dr. Anton J. Kleywegt School of Industrial and Systems Engineering Georgia Institute of Technology Date Approved: July 6, 2009 ACKNOWLEDGMENTS I thank my advisors, Dr. Shi-Jie Deng and Dr. John H. Vande Vate, for their guidance of my research. I am
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For j = 1 To b For g = 1 To s r = Int(Rnd * s) + 1 'This picks a random firm identifier For m = 1 To Y 'This loop runs over each year present in a given block i = (g - 1) * Y + m 'This creates an identifier i for observation of block g and period m in the bootstrapped sample Holdroa(i) = wfroa((r - 1) * Y + m) HoldPE(i) = wfPE((r - 1) * Y + m) Next m Next g HoldEst(j) =
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Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.685 Electric Machines Class Notes 1: Electromagnetic Forces c 2003 James L. Kirtley Jr. September 5, 2005 1 Introduction Bearings Stator Stator Conductors Rotor Air Gap Rotor Conductors Shaft End Windings Figure 1: Form of Electric Machine This section of notes discusses some of the fundamental processes involved in electric machinery. In the section on energy conversion processes
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Vijay V. Vazirani College of Computing Georgia Institute of Technology Copyright c 2001 Approximation Algorithms Springer Berlin Heidelberg NewYork Barcelona Hong Kong London Milan Paris Singapore Tokyo To my parents Preface Although this may seem a paradox, all exact science is dominated by the idea of approximation. Bertrand Russell (1872–1970) Most natural optimization problems, including those arising in important application areas, are NP-hard. Therefore, under the widely believed
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and variable stream sheet thickness. The flow equations are given and the explicit Runge-Kutta solution scheme is described. The k-ω model equations are also given and the upwind implicit approximate-factorization solution scheme is described. Three cases were calculated: transitional flow over a flat plate, a transonic compressor rotor, and a transonic turbine vane with heat transfer. Results were compared to theory, experimental data, and to results using the Baldwin-Lomax turbulence model. The two
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which is determined to be2 L ≃ 2 ± 0.2 × 108 ho L⊙ M pc−3 (2) Lφ(L)dL (1) where L⊙ = 3.8 × 1033 erg s−1 is the solar luminosity. In the absence of a cosmological constant, one can define a critical energy density, ρc = 3H 2 /8πGN = 1.88 × 10−29 ho 2 g cm−3 , such that ρ = ρc for three-space curvature k = 0, where the present value of the Hubble parameter has been defined by Ho = 100ho km Mpc−1 s−1 . We can now define a critical mass-to-light ratio is given by (M/L)c = ρc /L ≃ 1390ho(M⊙ /L⊙ ) (3)
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