Institution
University of Texas at Arlington
Education•Arlington, Texas, United States•
About: University of Texas at Arlington is a education organization based out in Arlington, Texas, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 11758 authors who have published 28598 publications receiving 801626 citations. The organization is also known as: UT Arlington & University of Texas-Arlington.
Topics: Population, Large Hadron Collider, Wireless sensor network, Artificial neural network, Computer science
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the production cross sections of the inclusive Drell-Yan processes W-+/- -> l nu and Z/gamma* -> ll (l = e, mu) are measured in proton-proton collisions at root s = 7 TeV with the ATLAS detector.
Abstract: The production cross sections of the inclusive Drell-Yan processes W-+/- -> l nu and Z/gamma* -> ll (l = e, mu) are measured in proton-proton collisions at root s = 7 TeV with the ATLAS detector. The cross sections are reported integrated over a fiducial kinematic range, extrapolated to the full range, and also evaluated differentially as a function of the W decay lepton pseudorapidity and the Z boson rapidity, respectively. Based on an integrated luminosity of about 35 pb(-1) collected in 2010, the precision of these measurements reaches a few percent. The integrated and the differential W-+/- and Z/gamma* cross sections in the e and mu channels are combined, and compared with perturbative QCD calculations, based on a number of different parton distribution sets available at next-to-next-to-leading order.
250 citations
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05 Nov 2007TL;DR: This work argues that a strong adversary model, the global eavesdropper, is often realistic in practice and can defeat existing techniques and proposes two techniques that prevent the leakage of location information: periodic collection and source simulation.
Abstract: While many protocols for sensor network security provide confidentiality for the content of messages, contextual information usually remains exposed. Such information can be critical to the mission of the sensor network, such as the location of a target object in a monitoring application, and it is often important to protect this information as well as message content. There have been several recent studies on providing location privacy in sensor networks. However, these existing approaches assume a weak adversary model where the adversary sees only local network traffic. We first argue that a strong adversary model, the global eavesdropper, is often realistic in practice and can defeat existing techniques. We then formalize the location privacy issues under this strong adversary model and show how much communication overhead is needed for achieving a given level of privacy. We also propose two techniques that prevent the leakage of location information: periodic collection and source simulation. Periodic collection provides a high level of location privacy, while source simulation provides trade-offs between privacy, communication cost, and latency. Through analysis and simulation, we demonstrate that the proposed techniques are efficient and effective in protecting location information from the attacker.
249 citations
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TL;DR: The present study constitutes the first use of combustion synthesis for preparing WO3 powder comprising nanosized particles, and it is shown that, in this approach, it is also possible to tune the optical characteristics of the oxide semiconductor in situ by doping the host semiconductor during the formative stage itself.
Abstract: The energy payback time associated with the semiconductor active material is an important parameter in a photovoltaic solar cell device. Thus lowering the energy requirements for the semiconductor synthesis step or making it more energy-efficient is critical toward making the overall device economics more competitive relative to other nonpolluting energy options. In this communication, combustion synthesis is demonstrated to be a versatile and energy-efficient method for preparing inorganic oxide semiconductors such as tungsten trioxide (WO3) for photovoltaic or photocatalytic solar energy conversion. The energy efficiency of combustion synthesis accrues from the fact that high process temperatures are self-sustained by the exothermicity of the combustion process, and the only external thermal energy input needed is for dehydration of the fuel/oxidizer precursor mixture and bringing it to ignition. Importantly, we show that, in this approach, it is also possible to tune the optical characteristics of the oxide semiconductor (i.e., shift its response toward the visible range of the electromagnetic spectrum) in situ by doping the host semiconductor during the formative stage itself. As a bonus, the resultant material shows enhanced surface properties such as markedly improved organic dye uptake relative to benchmark samples obtained from commercial sources. Finally, this synthesis approach requires only very simple equipment, a feature that it shares with other "mild" inorganic semiconductor synthesis routes such as sol-gel chemistry, chemical bath deposition, and electrodeposition. The present study constitutes the first use of combustion synthesis for preparing WO3 powder comprising nanosized particles.
249 citations
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TL;DR: The conditions that guarantee the finite-time consensus for the systems are identified and the signum protocol does not require explicit measurement of time signals from neighbors, and hence has the potential to significantly reduce the requirements for both computation and sensing.
248 citations
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TL;DR: In this article, the authors compared the performance of socially responsible (SR) portfolios and conventional mutual funds using a variety of methods (including Jensen's Alpha, the Sharpe Ratio and the Treynor ratio), analysing the funds by investment strategy, size, systematic risk and the use of inclusion screens.
Abstract: Outlines increased interest from investors in corporate social policies over the last ten years and previous research comparing the investment performance of “socially responsible” (SR) portfolios with others. Measures performance for a US sample of SR and conventional mutual funds using a variety of methods (including Jensen’s Alpha, the Sharpe Ratio and the Treynor ratio), analysing the funds by investment strategy, size, systematic risk and the use of inclusion screens. Presents the results, which do not give a clear advantage to either group, but show that funds with inclusion screens consistently outperform those without. Calls for further research on the relationship between corporate social performance and portfolio performance and comparisons between SR and conventional funds.
248 citations
Authors
Showing all 11918 results
Name | H-index | Papers | Citations |
---|---|---|---|
Zhong Lin Wang | 245 | 2529 | 259003 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
David H. Adams | 155 | 1613 | 117783 |
Andrew White | 149 | 1494 | 113874 |
Kaushik De | 139 | 1625 | 102058 |
Steven F. Maier | 134 | 588 | 60382 |
Andrew Brandt | 132 | 1246 | 94676 |
Amir Farbin | 131 | 1125 | 83388 |
Evangelos Gazis | 131 | 1147 | 84159 |
Lee Sawyer | 130 | 1340 | 88419 |
Fernando Barreiro | 130 | 1082 | 83413 |
Stavros Maltezos | 129 | 943 | 79654 |
Elizabeth Gallas | 129 | 1157 | 85027 |
Francois Vazeille | 129 | 952 | 79800 |
Sotirios Vlachos | 128 | 789 | 77317 |