29,672 research outputs found

    Signal Detection for QPSK Based Cognitive Radio Systems using Support Vector Machines

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    Cognitive radio based network enables opportunistic dynamic spectrum access by sensing, adopting and utilizing the unused portion of licensed spectrum bands. Cognitive radio is intelligent enough to adapt the communication parameters of the unused licensed spectrum. Spectrum sensing is one of the most important tasks of the cognitive radio cycle. In this paper, the auto-correlation function kernel based Support Vector Machine (SVM) classifier along with Welch's Periodogram detector is successfully implemented for the detection of four QPSK (Quadrature Phase Shift Keying) based signals propagating through an AWGN (Additive White Gaussian Noise) channel. It is shown that the combination of statistical signal processing and machine learning concepts improve the spectrum sensing process and spectrum sensing is possible even at low Signal to Noise Ratio (SNR) values up to -50 dB

    Coloniality, just war & carceral injustice in Brazil

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    The Portuguese empire brought inescapable violence to the indigenous communities of Brazil and to those it enslaved. Throughout the centuries of colonial subjugation, driven by the Iberian monarchical traditions of hierarchy, militarism and moral crusade, ‘just war’ narratives were employed to legitimate the use of violent legal and extra-legal measures against enslaved peoples and others deemed unruly or rebellious and a threat to colonial order. Two centuries after independence, Brazil remains at war with its ‘internal enemies’. Its justice practices continue to be characterised by colonial rationalisations. This paper illustrates the contemporary coloniality inherent in the carceral system from the moment of detention pre-trial through sentencing and imprisonment

    Chiral transition in a magnetic field and at finite baryon density

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    We consider the quark-meson model with two quark flavors in a constant external magnetic field BB at finite temperature TT and finite baryon chemical potential μB\mu_B. We calculate the full renormalized effective potential to one-loop order in perturbation theory. We study the system in the large-NcN_c limit, where we treat the bosonic modes at tree level. It is shown that the system exhibits dynamical chiral symmetry breaking, i. e. that an arbitrarily weak magnetic field breaks chiral symmetry dynamically, in agreement with earlier calculations using the NJL model. We study the influence on the phase transition of the fermionic vacuum fluctuations. For strong magnetic fields, qB5mπ2|qB|\sim5m_{\pi}^2 and in the chiral limit, the transition is first order in the entire μBT\mu_B-T plane if vacuum fluctuations are not included and second order if they are included. At the physical point, the transition is a crossover for μB=0\mu_B=0 with and without vacuum fluctuations.Comment: 11 pages. 5figs. V2: fixed a few typos and added refs. Submitted to PRD. V3: Added refs and substantial revision of tex

    Secular Foundations of Liberal Multiculturalism

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    In pursuit of a just political order, Will Kymlicka has defended a liberal conception of multiculturalism. The persuasive appeal of his argument, like that of secular-liberalism more generally, is due to presenting liberalism as a neutral and universal political project. Utilizing Charles Taylor’s genealogy of ‘exclusive humanism’ in A Secular Age, this thesis attempts to re-read Kymlicka in order to make certain theological commitments in his work explicit. Here I argue that Kymlicka, in order to make his conception of multiculturalism plausible, relies on a theologically-thick and controversial humanism operating under secular conditions of belief. By committing himself to a particular conception of the human and specific conditions of belief, Kymlicka’s liberal multiculturalism is rendered provincially incoherent because it fails to treat in a neutral manner certain theological commitments

    Endocrine and Cell Surface Receptor Signaling in Breast Carcinogenesis

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    Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer-related death in female. To better understand the growth and progression as well as therapeutic management, breast cancers are grouped based on histopathological and molecular classification. A number of factors have been implicated in the development of breast cancer. Various cell surface as well as hormone receptor signaling play crucial role in breast cancer initiation and progression. This chapter briefly discusses few of the important receptor signaling pathways and the various strategies in practice as well as at different stages of development to target these pathways

    Effect of Spatial Distribution of Precipitation Data on Temporal and Spactial Uncertainty of Swat Output

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    Accurate modeling of water quality, water availability, and transport of pollutants at the watershed scale requires an accurate representation of the precipitation data. For this reason, the ability of hydrologic models to predict accurate outputs depends to a great extent on how well the rainfall data is distributed. In general, rainfall intensities can vary in space and time, particularly in convective events. A number of schemes are available to account for temporal and spatial uncertainties of precipitation data. The simplest method is the arithmetic mean, which assumes the rainfall is uniformly distributed over the watershed. The Thiessen polygon method is an improvement over the arithmetic approach, by assigning the record from the closest rain gauge to the unstamped location. The Centroid method is another popular method. The centroid method uses the rain gauge nearest to the centroid of each subbasin. The objectives of this project are (1) to assess the impacts of using different interpolation schemes for incorporating spatially variable precipitation data into the Soil and Water Assessment Tool (SWAT) and (2) assess the impacts of using three levels of subbasin delineation on the streamflow
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