412 research outputs found
Assessment of Temperature-Dependent Regression Model Terms of a RUAG Six-Component Block-Type Balance
A metric called the percent contribution was applied to regression models of temperature-dependent calibration data of a RUAG six-component block-type balance in order to assess the influence of temperature-dependent regression model terms on the balance load prediction. Regression models were examined that are needed if either the Iterative or the Non-Iterative Method is used for the load prediction. Computed values of the percent contribution confirmed that the cross-product term defined by a primary load and the temperature difference is the most influential temperature-dependent term of the regression model of a primary output that the Iterative Method needs. Similarly, the analysis showed that the cross-product term defined by a primary output and the temperature difference is the most influential temperature-dependent term of the regression model of a primary load that the Non-Iterative Method needs. Computed results support conclusions that were reported in an earlier theoretical study. This study asserted that the cross-product term defined by a primary load or output and the temperature difference models the temperature-dependent shift of the gage sensitivity. The influence of other temperature-dependent terms used in the regression models of the calibration data of RUAG's balance was negligible. This observation may be explained by the fact that RUAG's block-type balances have highly linear characteristics. Overall, the percent contribution has proven itself to be a reliable and easy-to-implement metric that may also be used for the assessment of the influence of temperature-dependent regression model terms on the load prediction of a six-component strain-gage balance
Photonic properties of one-dimensionally-ordered cold atomic vapors under conditions of electromagnetically induced transparency
We experimentally study the photonic properties of a cold-atom sample trapped
in a one-dimensional optical lattice under the conditions of
electromagnetically induced transparency. We show that such a medium has two
photonic band gaps. One of them is in the transparency window and gives rise to
a Bragg mirror, which is spectrally very narrow and dynamically tunable. We
discuss the advantages and the limitations of this system. As an illustration
of a possible application we demonstrate a two-port all-optical switch
Cavity-Controlled Collective Scattering at the Recoil Limit
We study collective scattering with Bose-Einstein condensates interacting
with a high-finesse ring cavity. The condensate scatters the light of a
transverse pump beam superradiantly into modes which, in contrast to previous
experiments, are not determined by the geometrical shape of the condensate, but
specified by a resonant cavity mode. Moreover, since the recoil-shifted
frequency of the scattered light depends on the initial momentum of the
scattered fraction of the condensate, we show that it is possible to employ the
good resolution of the cavity as a filter selecting particular quantized
momentum states.Comment: 4 pages, 4 figure
Investigations of the Anisotropic Optical Reflectivity of Binary and Ternary Nb-W Oxides Possessing Block-Type Crystal Structure
We have studied the anisotropic optical properties of binary NbO2.5-ÎŽ (0 8) in the infinite block direction only
Social Network Services: Competition and Privacy
Social Network Services (SNS) business models highly depend on the gathering and analyzation of user data to obtain an advantage in competition for advertising clients. Nevertheless, an extensive collection and analysis of this data poses a threat to usersâ privacy. Based on an economic perspective it seems rational for Social Network Operators (SNO) to ignore the usersâ desire for privacy. However, privacy-friendly services might have the potential to earn usersâ trust, leading to an increased revelation of personal data. Addressing these issues, we examine the existing privacy problem in SNS in the context of competition between SNO to investigate whether competition tend to enhance user privacy or whether it is the root of its violation. Therefore, this paper investigates the interconnectedness of the market structure and privacy problems in SNS. After analyzing the usersâ and the advertisersâ side of SNS, their competitiveness and its influence on user privacy are examined
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