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Luo T.,Institute for Infocomm Research | Das S.K.,MissouriUniversity of Science and Technology | Tan H.P.,Singapore Management University | Xia L.,Rensselaer Polytechnic Institute
ACM Transactions on Intelligent Systems and Technology | Year: 2016

Crowdsourcing can be modeled as a principal-agent problem in which the principal (crowdsourcer) desires to solicit a maximal contribution from a group of agents (participants) while agents are only motivated to act according to their own respective advantages. To reconcile this tension, we propose an all-pay auction approach to incentivize agents to act in the principal's interest, i.e., maximizing profit, while allowing agents to reap strictly positive utility. Our rationale for advocating all-pay auctions is based on two merits that we identify, namely all-pay auctions (i) compress the common, two-stage "bid-contribute" crowdsourcing process into a single "bid-cum-contribute" stage, and (ii) eliminate the risk of task nonfulfillment. In our proposed approach, we enhance all-pay auctions with two additional features: an adaptive prize and a general crowdsourcing environment. The prize or reward adapts itself as per a function of the unknown winning agent's contribution, and the environment or setting generally accommodates incomplete and asymmetric information, risk-averse (and risk-neutral) agents, and a stochastic (and deterministic) population. We analytically derive this all-pay auction-based mechanism and extensively evaluate it in comparison to classic and optimized mechanisms. The results demonstrate that our proposed approach remarkably outperforms its counterparts in terms of the principal's profit, agent's utility, and social welfare. © 2016 ACM.

Nanjari E.L.,University of Atacama | Golosinski T.S.,MissouriUniversity of Science and Technology
International Journal of Mining, Reclamation and Environment | Year: 2013

In an earlier study, the authors introduced the new algorithm that allows for a definition of open pit limits taking into consideration time value of money. This study presents further expansion of this algorithm that allows determining the optimum mining sequence and optimum width of pushbacks, in a manner that maximises the net present value (NPV) of a deposit. The algorithm combines dynamic programming and mining heuristic, and allows for incorporation of price vectors, costs, cut-off grades and other mine design parameters. Test runs of the algorithm conducted by the authors have led consistently to pits and mining sequences with higher NPV values than those generated using parametric techniques. © 2013 Copyright Taylor and Francis Group, LLC.

Weiss D.S.,University of Rochester | Dunlap D.H.,University of New Mexico | Tyutnev A.,MoscowState Institute of Electronics and Mathematics | Parris P.E.,MissouriUniversity of Science and Technology
International Conference on Digital Printing Technologies | Year: 2011

Organic materials are being investigated for their electronic properties. Such materials are especially attractive for lightweight, flexible, and low-cost solar cells and light emitting devices, as well as transistors and electrophotographic photoreceptors. Yet, even after 40 years of work and a large database, the physics and chemistry that determines the electronic properties of organic materials are not well understood. This paper briefly summarizes data obtained from a new experimental variant of the time of flight (TOF) technique called TOF1a, which are compared to the predictions of a two-layer multiple trapping model (MTM) with an exponential distribution of traps. In TOF1a the charge generation depth is varied continuously, from surface generation to bulk generation, by varying the energy of the electron-beam excitation source. This produces systematic changes in the shape of the current transient that can be compared to the predictions of the two-layer MTM. We find that we can semi-quantitatively fit current transient data over the whole time range of the experiment, but only by using theoretical parameters that lie in a narrow range, the extent of which we quantify here. ©2011 Society for Imaging Science and Technology.

Jentschura U.D.,MissouriUniversity of Science and Technology | Jentschura U.D.,Mta Of Particle Physics Research Group | Nandori I.,Mta Of Particle Physics Research Group
European Physical Journal H | Year: 2014

It has been a notably elusive task to find a remotely sensical ansatz for a calculationof Sommerfeld’s electrodynamic fine-structure constant αQED ≈ 1 /137.036 based on first principles. However, this has not prevented anumber of researchers to invest considerable effort into the problem, despite theformidable challenges, and a number of attempts have been recorded in the literature.Here, we review a possible approach based on the quantum electrodynamic (QED)β function,and on algebraic identities relating αQED to invariant properties of“internal” symmetry groups, as well as attempts to relate the strength of theelectromagnetic interaction to the natural cutoff scale for other gauge theories.Conjectures based on both classical as well as quantum-field theoretical considerationsare discussed. We point out apparent strengths and weaknesses of the most prominentattempts that were recorded in the literature. This includes possible connections toscaling properties of the Einstein-Maxwell Lagrangian which describes gravitational andelectromagnetic interactions on curved space-times. Alternative approaches inspired bystring theory are also discussed. A conceivable variation of the fine-structure constantwith time would suggest a connection of αQED to global structures of theUniverse, which in turn are largely determined by gravitational interactions. © 2014, EDP Sciences and Springer-Verlag Berlin Heidelberg.

Xu J.,MissouriUniversity of Science and Technology | Koledintseva M.Y.,MissouriUniversity of Science and Technology | Zhang Y.,Missouri University of Science and Technology | He Y.,Laird Technologies | And 4 more authors.
IEEE Transactions on Electromagnetic Compatibility | Year: 2010

A methodology to efficiently design products based on magneto-dielectric (ferrite) materials with desirable frequency responses that satisfy electromagnetic compatibility and signal integrity requirements over RF and microwave bands is presented here. This methodology is based on an analytical model of a composite magneto-dielectric material with both frequency-dispersive permittivity and permeability. A procedure for extracting complex permittivity and permeability of materials from experimental data is based on transmission line measurements. The genetic algorithm is applied for approximating both permittivity and permeability of materials by series of Debye frequency dependencies, so that they are represented as double-Debye materials (DDM). The DDM is incorporated in the finite-difference time-domain numerical codes by the auxiliary differential equation approach. © 2010 IEEE.

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