1,580 research outputs found
Evaluating Enterprize Delivery Using the TYPUS Metrics and the KILT Mode
The goal of this work is the technical, ecological, environmental and social examination of the life-cycle (LC) of any product (consumable, service, production) using the TYPUS metrics and the KILT model. The life-cycle starts when the idea of a product is born and lasts until complete dismissal through design, implementation and operation, etc. In the first phases requirements’ specification, analysis, several design steps (global plan, detailed design, assembly design, etc.) are followed by part manufacturing, assembly, testing, diagnostics and operation, advertisement, service, maintenance, etc. Then finally disassembly and dismissal are coming, but dismissal can be substituted by re-cycling (e.g. melting the metals) or re-use (used parts applications). Qualitative and quantitative evaluations of enterprise results are supported by the new models and metrics
Phase diagram and isentropic curves from the vector meson extended Polyakov quark meson model
In the framework of the flavor (axial)vector meson extended
Polyakov quark meson model we investigate the QCD phase diagram at finite
temperature and density. We use a minimization procedure to
parameterize the model based on tree\,-\,level decay widths and vacuum scalar
and pseudoscalar curvature masses which incorporate the contribution of the
constituent quarks. Using a hybrid approximation (mesons at tree level,
fermions at one\,-\,loop level) for the grand potential we determine the phase
boundary both on the and planes. We also determine the
location of the critical end point of the phase diagram. Moreover by
calculating the pressure and other thermodynamical quantities derived from it,
we determine a set of isentropic curves in the crossover region. We show that
the curves behave very similarly as their counterparts obtained from the
lattice in the crossover regime.Comment: 6 pages, 4 figures, Presented at Excited QCD 2017, 7-13 May 2017,
Sintra, Portuga
Chiral phase transition scenarios from the vector meson extended Polyakov quark meson model
Chiral phase transition is investigated in an
symmetric vector meson extended linear sigma model with additional constituent
quarks and Polyakov loops (extended Polyakov quark meson model). The
parameterization of the Lagrangian is done at zero temperature in a hybrid
approach, where the mesons are treated at tree-level, while the constituent
quarks at 1-loop level. The temperature and baryochemical potential dependence
of the two assumed scalar condensates are calculated from the hybrid 1-loop
level equations of states. The order of the phase transition along the
and axes are determined for various parameterization scenarios. We
find that in order to have a first order phase transition at as a
function of a light isoscalar particle is needed.Comment: 6 pages, 2 figures, Presented at Excited QCD 2015 (8-14 March 2015,
Tatranska Lomnica, Slovakia
Video in e-learning systems
The world is changing rapidly in the field of multimedia and it is inevitable to prepare to
use and utilize the new teaching method. This is specifically true in the case of the use of educational
films both as video and also using such video on the Internet. Our first task is to decide whether the
development of material will be an independent film or a part of an e-learning course. In both cases
the method of construction is different. The next step is to select the target group of the film. There is a
wide scale of possible viewers or participants (who must have a certain level of basic knowledge) and
also handicapped people should be able to use the results. The final product ought to be acceptable for
e-learning and distance-learning as well. Using the information technology in education is general and
the present being of the e-learnig is part of this fact. We can use e-learning effectively only if the
system is filled up with electronic educational material. The most effective ones are the multimediamaterials.
The effectiveness of the multimedia-material can be improved with the application of video
A statistical method to estimate low-energy hadronic cross sections
In this article we propose a model based on the Statistical Bootstrap
approach to estimate the cross sections of different hadronic reactions up to a
few GeV in c.m.s energy. The method is based on the idea, when two particles
collide a so called fireball is formed, which after a short time period decays
statistically into a specific final state. To calculate the probabilities we
use a phase space description extended with quark combinatorial factors and the
possibility of more than one fireball formation. In a few simple cases the
probability of a specific final state can be calculated analytically, where we
show that the model is able to reproduce the ratios of the considered cross
sections. We also show that the model is able to describe proton\,-\,antiproton
annihilation at rest. In the latter case we used a numerical method to
calculate the more complicated final state probabilities. Additionally, we
examined the formation of strange and charmed mesons as well, where we used
existing data to fit the relevant model parameters.Comment: 12 pages, 12 figures, submitted to EPJ
Chiral phase transition in the vector meson extended linear sigma model
In the framework of an SU(3) (axial)vector meson extended linear sigma model
with additional constituent quarks and Polyakov loops, we investigate the
effects of (axial)vector mesons on the chiral phase transition. The parameters
of the Lagrangian are set at zero temperature and we use a hybrid approach
where in the effective potential the constituent quarks are treated at one-loop
level and all the mesons at tree-level. We have four order parameters, two
scalar condensates and two Polyakov loop variables and their temperature and
baryochemical potential dependence are determined from the corresponding field
equations. We also investigate the changes of the tree-level scalar meson
masses in the hot and dense medium.Comment: 5 pages, 6 figure
Noise Robust Automatic Speech Recognition Based on Spectro-Temporal Techniques
Speech technology today has a wide variety of existing and potential applications in so many areas of our life. From dictating systems to voice translation, from digital assistants like Siri, Google Now, and Cortana, to telephone dialogue systems. Many of these applications have to rely on an Automatic Speech Recognition (ASR) component. This component not only has to perform well, but it also has to perform well in adverse environments. After all, a dictating system which requires that we insulate our office, or a digital assistant that cannot work in traffic, or in a room full of chatting people is not so helpful. For this reason, noise robust ASR has been a topic of intensive research. Yet, human-equivalent performance has not been achieved. This motivated many to search for ways to improve the robustness of automatic speech recognition based on human speech perception. One popular method inspired by the examination of the receptive fields of auditory neurons is that of spectro-temporal processing.
In spectro-temporal processing, the aim is to capture the spectral and temporal modulations of the signal simultaneously. One simple way to do so is to extract the features to be used from spectro-temporal patches, and then use the resulting features in the same manner one would use traditional features like MFCCs. There is more than one way to bake a cake, however. And in this case this is true twice over. For one, there are various ways to extract our features from the patches. But there are other, more sophisticated ways to incorporate the concept of spectro-temporal processing into a speech recognition system. In this study we examine many such methods -- some simpler, some more sophisticated, but all stemming from the same basic idea. By the end of this study we will demonstrate that these methods can indeed lead to more robust speech recognition. So much so, that they can provide results that are competitive with the state-of-the-art results
Existence of the critical endpoint in the vector meson extended linear sigma model
The chiral phase transition of the strongly interacting matter is
investigated at nonzero temperature and baryon chemical potential mu_B within
an extended (2+1) flavor Polyakov constituent quark-meson model which
incorporates the effect of the vector and axial vector mesons. The effect of
the fermionic vacuum and thermal fluctuations computed from the grand potential
of the model is taken into account in the curvature masses of the scalar and
pseudoscalar mesons. The parameters of the model are determined by comparing
masses and tree-level decay widths with experimental values in a
chi^2-minimization procedure which selects between various possible assignments
of scalar nonet states to physical particles. We examine the restoration of the
chiral symmetry by monitoring the temperature evolution of condensates and the
chiral partners' masses and of the mixing angles for the pseudoscalar eta-eta'
and the corresponding scalar complex. We calculate the pressure and various
thermodynamical observables derived from it and compare them to the continuum
extrapolated lattice results of the Wuppertal-Budapest collaboration. We study
the T-mu_B phase diagram of the model and find that a critical end point exists
for parameters of the model, which give acceptable values of chi^2.Comment: 21 pages, 8 color eps figures, published versio
OPTIMIZATION METHOD AND SOFTWARE FOR FUEL COST REDUCTION IN CASE OF ROAD TRANSPORT ACTIVITY
The transport activity is one of the most expensive processes in the supply chain and the fuel cost is the highest cost among the cost components of transportation. The goal of the research is to optimize the transport costs in case of a given transport task both by the selecting the optimal petrol station and by determining the optimal amount of the refilled fuel. Recently, in practice, these two decisions have not been made centrally at the forwarding company, but they depend on the individual decision of the driver. The aim of this study is to elaborate a precise and reliable mathematical method for selecting the optimal refuelling stations and determining the optimal amount of the refilled fuel to fulfil the transport demands. Based on the elaborated model, new decision-supporting software is developed for the economical fulfilment of transport trips
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