Institution
University of Houston
Education•Houston, Texas, United States•
About: University of Houston is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 23074 authors who have published 53903 publications receiving 1641968 citations.
Topics: Population, Poison control, Anxiety, Finite element method, Catalysis
Papers published on a yearly basis
Papers
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TL;DR: This work introduces a reverse iterative combinatorial auction as the allocation mechanism for mobile peer-to-peer communication, and proves that the proposed auction-based scheme is cheat-proof, and converges in a finite number of iteration rounds.
Abstract: Peer-to-peer communication has been recently considered as a popular issue for local area services. An innovative resource allocation scheme is proposed to improve the performance of mobile peer-to-peer, i.e., device-to-device (D2D), communications as an underlay in the downlink (DL) cellular networks. To optimize the system sum rate over the resource sharing of both D2D and cellular modes, we introduce a reverse iterative combinatorial auction as the allocation mechanism. In the auction, all the spectrum resources are considered as a set of resource units, which as bidders compete to obtain business while the packages of the D2D pairs are auctioned off as goods in each auction round. We first formulate the valuation of each resource unit, as a basis of the proposed auction. And then a detailed non-monotonic descending price auction algorithm is explained depending on the utility function that accounts for the channel gain from D2D and the costs for the system. Further, we prove that the proposed auction-based scheme is cheat-proof, and converges in a finite number of iteration rounds. We explain non-monotonicity in the price update process and show lower complexity compared to a traditional combinatorial allocation. The simulation results demonstrate that the algorithm efficiently leads to a good performance on the system sum rate.
440 citations
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TL;DR: In this article, the authors extended the ideas and techniques developed previously by the present authors for controlling discrete-time chaotic dynamic systems using traditional feedback control strategies to continuous time chaotic systems and provided a rigorous mathematical theory and some computer simulations to support and visualize such controllability of the chaotic Duffing equation.
Abstract: Extends the ideas and techniques developed previously by the present authors for controlling discrete-time chaotic dynamic systems using traditional feedback control strategies to continuous-time chaotic systems. The authors study how the conventional engineering approach using canonical feedback controllers can control the chaotic trajectory of a continuous-time nonlinear system to converge to its equilibrium points and, more significantly, to its multiperiodic orbits including unstable limit cycles. They describe an approach via a detailed investigation of the chaotic Duffing equation, with special emphasis on the control of its chaotic trajectory to one of its multiperiodic orbits. Finally, the authors provide a rigorous mathematical theory and some computer simulations to support and visualize such controllability of the Duffing equation. >
438 citations
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TL;DR: The mechanism of surfactant-assisted dispersion of single-walled carbon nanotubes in water is studied by small-angle neutron scattering and the scattering data favor a random structureless adsorption model for the dispersive of the nanot tubes.
Abstract: The mechanism of surfactant-assisted dispersion of single-walled carbon nanotubes in water is studied by small-angle neutron scattering. The previously hypothesized formation of cylindrical micelles with the nanotubes forming the core of cylinders is inconsistent with the data presented. The scattering data favor a random structureless adsorption model for the dispersion of the nanotubes.
437 citations
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Lawrence Livermore National Laboratory1, Los Alamos National Laboratory2, University of Houston3, Oak Ridge National Laboratory4, Lawrence Berkeley National Laboratory5, University of Arizona6, Pacific Northwest National Laboratory7, Sandia National Laboratories8, University of British Columbia9, Argonne National Laboratory10, University of Michigan11, University of Wisconsin–Milwaukee12, National Center for Atmospheric Research13, Brookhaven National Laboratory14, University of California, San Diego15, House of Representatives16, Gwangju Institute of Science and Technology17, University of California, Irvine18
TL;DR: Energy Exascale Earth System Model (E3SM) project as mentioned in this paper is a project of the U.S. Department of Energy that aims to develop and validate the E3SM model.
Abstract: Energy Exascale Earth System Model (E3SM) project - U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; Climate Model Development and Validation activity - Office of Biological and Environmental Research in the US Department of Energy Office of Science; Regional and Global Modeling and Analysis Program of the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; National Research Foundation [NRF_2017R1A2b4007480]; Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]; DOE Office of Science User Facility [DE-AC05-00OR22725]; U.S. Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]; DOE [DE-AC05-76RLO1830]; National Center for Atmospheric Research - National Science Foundation [1852977];[DE-SC0012778]
437 citations
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TL;DR: A seismic attribute is a quantitative measure of a seismic characteristic of interest as mentioned in this paper, which has been integral to reflection seismic interpretation since the 1930s when geophysicists started to pick traveltimes to coherent reflections on seismic field records.
Abstract: A seismic attribute is a quantitative measure of a seismic characteristic of interest. Analysis of attributes has been integral to reflection seismic interpretation since the 1930s when geophysicists started to pick traveltimes to coherent reflections on seismic field records. There are now more than 50 distinct seismic attributes calculated from seismic data and applied to the interpretation of geologic structure, stratigraphy, and rock/pore fluid properties. The evolution of seismic attributes is closely linked to advances in computer technology. As examples, the advent of digital recording in the 1960s produced improved measurements of seismic amplitude and pointed out the correlation between hydrocarbon pore fluids and strong amplitudes (“bright spots”). The introduction of color printers in the early 1970s allowed color displays of reflection strength, frequency, phase, and interval velocity to be overlain routinely on black-and-white seismic records. Interpretation workstations in the 1980s provided...
437 citations
Authors
Showing all 23345 results
Name | H-index | Papers | Citations |
---|---|---|---|
Matthew Meyerson | 194 | 553 | 243726 |
Gad Getz | 189 | 520 | 247560 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Pulickel M. Ajayan | 176 | 1223 | 136241 |
Zhenan Bao | 169 | 865 | 106571 |
Marc Weber | 167 | 2716 | 153502 |
Steven N. Blair | 165 | 879 | 132929 |
Martin Karplus | 163 | 831 | 138492 |
Dongyuan Zhao | 160 | 872 | 106451 |
Xiang Zhang | 154 | 1733 | 117576 |
Jan-Åke Gustafsson | 147 | 1058 | 98804 |
James M. Tour | 143 | 859 | 91364 |
Guanrong Chen | 141 | 1652 | 92218 |
Naomi J. Halas | 140 | 435 | 82040 |
Antonios G. Mikos | 138 | 694 | 70204 |