11,221 research outputs found

    Review and synthesis of problems and directions for large scale geographic information system development

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    Problems and directions for large scale geographic information system development were reviewed and the general problems associated with automated geographic information systems and spatial data handling were addressed

    Computations on Sofic S-gap Shifts

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    Let S={sn}S=\{s_{n}\} be an increasing finite or infinite subset of N{0}\mathbb N \bigcup \{0\} and X(S)X(S) the SS-gap shift associated to SS. Let fS(x)=11xsn+1f_{S}(x)=1-\sum\frac{1}{x^{s_{n}+1}} be the entropy function which will be vanished at 2h(X(S))2^{h(X(S))} where h(X(S))h(X(S)) is the entropy of the system. Suppose X(S)X(S) is sofic with adjacency matrix AA and the characteristic polynomial χA\chi_{A}. Then for some rational function QS Q_{S} , χA(x)=QS(x)fS(x)\chi_{A}(x)=Q_{S}(x)f_{S}(x). This QS Q_{S} will be explicitly determined. We will show that ζ(t)=1fS(t1)\zeta(t)=\frac{1}{f_{S}(t^{-1})} or ζ(t)=1(1t)fS(t1)\zeta(t)=\frac{1}{(1-t)f_{S}(t^{-1})} when S<|S|<\infty or S=|S|=\infty respectively. Here ζ\zeta is the zeta function of X(S)X(S). We will also compute the Bowen-Franks groups of a sofic SS-gap shift.Comment: This paper has been withdrawn due to extending results about SFT shifts to sofic shifts (Theorem 2.3). This forces to apply some minor changes in the organization of the paper. This paper has been withdrawn due to a flaw in the description of the adjacency matrix (2.3

    Registration of retinal images from Public Health by minimising an error between vessels using an affine model with radial distortions

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    In order to estimate a registration model of eye fundus images made of an affinity and two radial distortions, we introduce an estimation criterion based on an error between the vessels. In [1], we estimated this model by minimising the error between characteristics points. In this paper, the detected vessels are selected using the circle and ellipse equations of the overlap area boundaries deduced from our model. Our method successfully registers 96 % of the 271 pairs in a Public Health dataset acquired mostly with different cameras. This is better than our previous method [1] and better than three other state-of-the-art methods. On a publicly available dataset, ours still better register the images than the reference method

    Hardware and software status of QCDOC

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    QCDOC is a massively parallel supercomputer whose processing nodes are based on an application-specific integrated circuit (ASIC). This ASIC was custom-designed so that crucial lattice QCD kernels achieve an overall sustained performance of 50% on machines with several 10,000 nodes. This strong scalability, together with low power consumption and a price/performance ratio of $1 per sustained MFlops, enable QCDOC to attack the most demanding lattice QCD problems. The first ASICs became available in June of 2003, and the testing performed so far has shown all systems functioning according to specification. We review the hardware and software status of QCDOC and present performance figures obtained in real hardware as well as in simulation.Comment: Lattice2003(machine), 6 pages, 5 figure

    QSO clustering and the AAT 2dF redshift survey

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    We review previous results on the clustering and environments of QSOs. We show that the correlation length for QSOs derived from existing surveys is r~5/h Mpc, similar to the observed correlation length for field galaxies at the present epoch. The galaxy environment for z<1 radio-quiet QSOs is also consistent with field galaxies. The evolution of the QSO correlation length with redshift is currently uncertain, largely due to the small numbers of QSOs (~2000) in surveys suitable for clustering analysis. We report on intial progress with the AAT 2dF QSO redshift survey, which, once completed will comprise almost 30000 QSOs. With over 1000 QSOs already observed, it is already the largest single homogeneous QSO survey. We discuss prospects for deriving limits on cosmological parameters from this survey, and on the evolution of large-scale structure in the Universe.Comment: Invited talk at RS meeting on 'Large Scale Structure in the Universe' held at the Royal Society on 25-26 March 1998 14 pages, 11 figre

    Discovery of a Clustered Quasar Pair at z ~ 5: Biased Peaks in Early Structure Formation

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    We report a discovery of a quasar at z = 4.96 +- 0.03 within a few Mpc of the quasar SDSS 0338+0021 at z = 5.02 +- 0.02. The newly found quasar has the SDSS i and z magnitudes of ~ 21.2, and an estimated absolute magnitude M_B ~ -25.2. The projected separation on the sky is 196 arcsec, and the redshift difference Delta z = 0.063 +- 0.008. The probability of finding this quasar pair by chance in the absence of clustering in this particular volume is ~ 10^-4 to 10^-3. We conclude that the two objects probably mark a large-scale structure, possibly a protocluster, at z ~ 5. This is the most distant such structure currently known. Our search in the field of 13 other QSOs at z >~ 4.8 so far has not resulted in any detections of comparable luminous QSO pairs, and it is thus not yet clear how representative is this structure at z ~ 5. However, along with the other evidence for clustering of quasars and young galaxies at somewhat lower redshifts, the observations are at least qualitatively consistent with a strong biasing of the first luminous and massive objects, in agreement with general predictions of theoretical models. More extensive searches for clustered quasars and luminous galaxies at these redshifts will provide valuable empirical constraints for our understanding of early galaxy and structure formation.Comment: Latex file, 8 pages, 3 eps figures, sty files included. To appear in the Ap
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