8,826 research outputs found
Generalizing the Sampling Property of the Q-function for Error Rate Analysis of Cooperative Communication in Fading Channels
This paper extends some approximation methods that are used to identify
closed form Bit Error Rate (BER) expressions which are frequently utilized in
investigation and comparison of performance for wireless communication systems
in the literature. By using this group of approximation methods, some
expectation integrals, which are complicated to analyze and have high
computational complexity to evaluate through Monte Carlo simulations, are
computed. For these integrals, by using the sampling property of the integrand
functions of one or more arguments, reliable BER expressions revealing the
diversity and coding gains are derived. Although the methods we present are
valid for a larger class of integration problems, in this work we show the step
by step derivation of the BER expressions for a canonical cooperative
communication scenario in addition to a network coded system starting from
basic building blocks. The derived expressions agree with the simulation
results for a very wide range of signal-to-noise ratio (SNR) values.Comment: 5 pages, 5 figures, Submitted to IEEE International Symposium on
Information Theory, ISIT 2013, Istanbul, Turke
QCD Physics with ZEUS and H1 at HERA
A review is presented of recent results in QCD from the H1 and ZEUS
experiments at HERA, emphasizing the use of higher order calculations to
describe the data.Comment: 12 pages, 15 figures, invited review paper for Mod. Phys. Lett
Exact Bound State Solutions of the Schrodinger Equation for Noncentral Potential via the Nikiforov-Uvarov Method
Exact bound state solutions of the Schrodinger equation for generalized
noncentral potential are examined by means of the Nikiforov-Uvarov method. The
wavefunctions and the corresponding energy eigenvalues of the system are
obtained analytically. The results examined for the potential are compatible
with those obtained by the other methods.Comment: 10 page
A Novel SUSY Energy Bound States Treatment of the Klein-Gordon Equation with PT-Supersymmetric and q-Deformed Hulthen Potential
In this study, we focus on investigating the exact relativistic bound state
spectra for supersymmetric, PT-supersymmetric and non-Hermitian versions of
q-deformed parameter Hulthen potential. The Hamiltonian hierarchy mechanism,
namely the factorization method, is adopted within the framework of SUSYQM.
This algebraic approach is used in solving of the Klein-Gordon equation with
the potential cases. The results obtained analytically by executing the
straightforward calculations are in consistent forms for certain values of q.
Achieving the results may have a particular interest for such applications.
That is, they can be involved in determining the quantum structural properties
of molecules for rovibrational states, and optical spectra characteristics of
semiconductor devices with regard to the lattice dynamics [62-64]. They are
also employed to construct broken or unbroken case of supersymmetric particle
model concerning the interaction between the elementary particles [65].Comment: 13 page
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An evaluation methodology for ergonomic design of electronic consumer products based on fuzzy axiomatic design
This article is posted with permission of OCP Science imprint. Copyright @ 2008 Old City Publishing Group.The development life cycle of software and electronic products has been shortened by the growth of rapid prototyping techniques. The evaluation of electronic consumer products should consider hardware and software as well as the ergonomic usability, emotional appeal and aesthetic integrity of the design. This research follows a systematic approach to develop an evaluation methodology for electronic mobile products on ergonomic design. The proposed methodology is based on fuzzy multi attribute decision making and fuzzy axiomatic design realized in three steps; determination of ergonomic attributes for electronic consumer products, determination of a representative set of alternatives, and selection of the best alternative in terms of ergonomic design by utilizing fuzzy axiomatic design. A case study is also provided to support the proposed methodology
Using simulation gaming to validate a mathematical modeling platform for resource allocation in disasters
The extraordinary conditions of a disaster require the mobilisation of all available resources, inducing the rush of
humanitarian partners into the affected area This phenomenon called the proliferation of actors, causes serious
problems during the disaster response phase including the oversupply, duplicated efforts, lack of planning In an
attempt to reduce the partner proliferation problem a framework called PREDIS (PREdictive model for DISaster
response partner selection) is put forward to configure the humanitarian network within early hours after disaster strike
when the information is scarce To verify this model a simulation game is designed using two sets of real decision
makers (experts and non-experts) in the disaster Haiyan scenario The result shows that using the PREDIS framework
100% of the experts could make the same decisions less than six hours comparing to 72 hours Also between 71% and
86% of the times experts and non-experts decide similarly using the PREDIS framewor
Penalty and reward contracts between a manufacturer and its logistics service provider
Contracts are used to coordinate disparate but interdependent members of the supply chain. Conflicting objectives of these members and lack of coordination among the members lead to inefficiencies in matching supply with demand. This study reviews different types of contracts and proposes a methodology to be used by companies for analyzing coordinating contracts with their business partners. Efficiency of the contract is determined by comparing the performance of independent companies under the contract to the supply chain performance under the central decision maker assumption. We propose a penalty and reward contract between a manufacturer and its logistics service provider that distributes the manufacturerâs products on its retail network. The proposed contract analysis methodology is empirically tested with transportation data of a consumer durable goods company (CDG) and its logistics service provider (LSP). The results of this case study suggest a penalty and reward contract between the CDG and its LSP that improves not only the individual firmâs objective functions but also the supply chain costs. Compared to the existing situation, the coordination efficiency of the penalty and reward contract is 96.1 %, proving that optimizing contract parameters improves coordination and leads to higher efficiencies
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