156 research outputs found
Generic Subsequence Matching Framework: Modularity, Flexibility, Efficiency
Subsequence matching has appeared to be an ideal approach for solving many
problems related to the fields of data mining and similarity retrieval. It has
been shown that almost any data class (audio, image, biometrics, signals) is or
can be represented by some kind of time series or string of symbols, which can
be seen as an input for various subsequence matching approaches. The variety of
data types, specific tasks and their partial or full solutions is so wide that
the choice, implementation and parametrization of a suitable solution for a
given task might be complicated and time-consuming; a possibly fruitful
combination of fragments from different research areas may not be obvious nor
easy to realize. The leading authors of this field also mention the
implementation bias that makes difficult a proper comparison of competing
approaches. Therefore we present a new generic Subsequence Matching Framework
(SMF) that tries to overcome the aforementioned problems by a uniform frame
that simplifies and speeds up the design, development and evaluation of
subsequence matching related systems. We identify several relatively separate
subtasks solved differently over the literature and SMF enables to combine them
in straightforward manner achieving new quality and efficiency. This framework
can be used in many application domains and its components can be reused
effectively. Its strictly modular architecture and openness enables also
involvement of efficient solutions from different fields, for instance
efficient metric-based indexes. This is an extended version of a paper
published on DEXA 2012.Comment: This is an extended version of a paper published on DEXA 201
Knowledge is at the Edge! How to Search in Distributed Machine Learning Models
With the advent of the Internet of Things and Industry 4.0 an enormous amount
of data is produced at the edge of the network. Due to a lack of computing
power, this data is currently send to the cloud where centralized machine
learning models are trained to derive higher level knowledge. With the recent
development of specialized machine learning hardware for mobile devices, a new
era of distributed learning is about to begin that raises a new research
question: How can we search in distributed machine learning models? Machine
learning at the edge of the network has many benefits, such as low-latency
inference and increased privacy. Such distributed machine learning models can
also learn personalized for a human user, a specific context, or application
scenario. As training data stays on the devices, control over possibly
sensitive data is preserved as it is not shared with a third party. This new
form of distributed learning leads to the partitioning of knowledge between
many devices which makes access difficult. In this paper we tackle the problem
of finding specific knowledge by forwarding a search request (query) to a
device that can answer it best. To that end, we use a entropy based quality
metric that takes the context of a query and the learning quality of a device
into account. We show that our forwarding strategy can achieve over 95%
accuracy in a urban mobility scenario where we use data from 30 000 people
commuting in the city of Trento, Italy.Comment: Published in CoopIS 201
Ratio of shear viscosity to entropy density in multifragmentation of Au + Au
The ratio of the shear viscosity () to entropy density () for the
intermediate energy heavy-ion collisions has been calculated by using the
Green-Kubo method in the framework of the quantum molecular dynamics model. The
theoretical curve of as a function of the incident energy for the
head-on Au+Au collisions displays that a minimum region of has been
approached at higher incident energies, where the minimum value is
about 7 times Kovtun-Son- Starinets (KSS) bound (1/4). We argue that the
onset of minimum region at higher incident energies corresponds to the
nuclear liquid gas phase transition in nuclear multifragmentation.Comment: 6 pages, 8 figure
Antibaryons in massive heavy ion reactions: Importance of potentials
In the framework of RQMD we investigate antiproton observables in massive
heavy ion collisions at AGS energies and compare to preliminary results of the
E878 collaboration. We focus here on the considerable influence of the *real*
part of an antinucleon--nucleus optical potential on the antiproton momentum
spectra
Consequences of a covariant Description of Heavy Ion Reactions at intermediate Energies
Heavy ion collisions at intermediate energies are studied by using a new RQMD
code, which is a covariant generalization of the QMD approach. We show that
this new implementation is able to produce the same results in the
nonrelativistic limit (i.e. 50MeV/nucl.) as the non-covariant QMD. Such a
comparison is not available in the literature. At higher energies (i.e. 1.5
GeV/nucl. and 2 GeV/nucl.) RQMD and QMD give different results in respect to
the time evolution of the phase space, for example for the directed transverse
flow. These differences show that consequences of a covariant description of
heavy ion reactions within the framework of RQMD are existing even at
intermediate energies.Comment: LaTex-file, 28 pages, 8 figures (available upon request), accepted
for publication in Physical Review
Reanalysis of antiproton production in proton-nucleus and nucleus-nucleus reactions at subthreshold energies
We reanalyse the production of pairs in proton-nucleus and
nucleus-nucleus collisions employing novel elementary cross sections for
baryon-baryon and pion-baryon production channels based on a boson-exchange
model. In contrast to previous transport studies performed in the literature
the secondary pion induced channel is found to be most important in both p+A
and A+A collisions at subthreshold energies. A detailed comparison with the
experimental data available indicates that sizeable attractive
potentials in the order of - 100 to - 150 MeV at normal nuclear matter density
are needed to reproduce the size and shape of the experimental spectra.Comment: 25 pages, latex, including 15 ps-figures, UGI-97-21, submitted to
Nucl. Phys.
Subthreshold antiproton production in proton-carbon reactions
Data from KEK on subthreshold antiproton as well as on pi(+-) and K(+-)
production in proton-nucleus reactions are described at projectile energies
between 3.5 and 12.0 GeV. We use a model which considers a hadron-nucleus
reaction as an incoherent sum over collisions of the projectile with a varying
number of target nucleons. It samples complete events and allows thus for the
simultaneous consideration of all particle species measured. The overall
reproduction of the data is quite satisfactory. It is shown that the
contributions from the interaction of the projectile with groups of several
target nucleons are decisive for the description of subthreshold production.
Since the collective features of subthreshold production become especially
significant far below the threshold, the results are extrapolated down to COSY
energies. It is concluded that an antiproton measurement at ANKE-COSY should be
feasible, if the high background of other particles can be efficiently
suppressed.Comment: 15 pages, 5 figures, gzipped tar file, submitted to J. Phys. G v2:
Modification of text due to demands of referee
Medium effects in high energy heavy-ion collisions
The change of hadron properties in dense matter based on various theoretical
approaches are reviewed. Incorporating these medium effects in the relativistic
transport model, which treats consistently the change of hadron masses and
energies in dense matter via the scalar and vector fields, heavy-ion collisions
at energies available from SIS/GSI, AGS/BNL, and SPS/CERN are studied. This
model is seen to provide satisfactory explanations for the observed enhancement
of kaon, antikaon, and antiproton yields as well as soft pions in the
transverse direction from the SIS experiments. In the AGS heavy-ion
experiments, it can account for the enhanced ratio, the difference
in the slope parameters of the and transverse kinetic energy
spectra, and the lower apparent temperature of antiprotons than that of
protons. This model also provides possible explanations for the observed
enhancement of low-mass dileptons, phi mesons, and antilambdas in heavy-ion
collisions at SPS energies. Furthermore, the change of hadron properties in hot
dense matter leads to new signatures of the quark-gluon plasma to hadronic
matter transition in future ultrarelativistic heavy-ion collisions at RHIC/BNL.Comment: RevTeX, 65 pages, including 25 postscript figures, invited topical
review for Journal of Physics G: Nuclear and Particle Physic
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΠΊΠΎΠΊΡΠΈΠ΄ΠΈΠΎΡΡΠ°ΡΠΈΠΊΠ° Π±Π°ΠΉΠΊΠΎΠΊΡΠ° Π½Π° ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠΊΡΠΈΠ΄ΠΈΠΎΠ·Π° Ρ ΡΡΠΏΠ»ΡΡ-Π±ΡΠΎΠΉΠ»Π΅ΡΠΎΠ²
The purpose of the research is to identify species of Eimeria spp. in chicken broilers suspected to be infected with coccidia and to determine the effect of coccidiostatics in the course of coccidiosis.Materials and methods. The study involved 20 six-week-old broiler chickens obtained from a farm heavily affected by coccidia (natural infection β a high oocyst incidence). Each group yielded 10 randomly picked chickens to be used in the experiment. The birds were divided into 2 groups 10 chickens each: control (I); Baycox-treated (II); Baycox was applied for 2 days in a concentration of 25 ppm in drinking water. Samples of broiler chickensβ droppings were tested qualitatively by the flotation method (Willis-Schlaaf) and then quantitatively by the McMaster technique. The chickens were killed 6 days post-treatment and their intestinal mean total lesion scores (MTLS) were graded 0 to 4 on an arbitrary scale described by Johnson and Reid (1970).Results and discussion. As a result of the research, six species of protozoa of the genus Eimeria were identified: E. acervulina, E. tenella, E. brunetti, E. maxima, E. mivati, E. necatrix, while E. necatrix and E. maxima were the dominant species. This proves the presence of such species as E. mivati, E. acervulina (76.34%) in the anterior segment of the intestine and E. necatrix, E. maxima (83.34%) β in the middle segment of the small intestine. Infections of E. brunetti broilers amounted to 51.11%. The most pathogenic species of E. tenella residing in the cecum was found in 37.53%. MTLS in the group of chickens that received Baycox was 0.33. The post-treatment oocyst indices in the second group amounted to 1 (1β50 oocysts in 1 g of faeces), in the control group MTLS was very high (2,5), the oocyst index exceeding 3.Β Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ: ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Π½ΡΡ
Ρ ΡΡΠΏΠ»ΡΡ-Π±ΡΠΎΠΉΠ»Π΅ΡΠΎΠ² ΠΊΠΎΠΊΡΠΈΠ΄ΠΈΠΉ Eimeria spp. ΠΈ ΠΎΡΠ΅Π½ΠΊΠ° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π±Π°ΠΉΠΊΠΎΠΊΡΠ° ΠΏΡΠΎΡΠΈΠ² ΠΊΠΎΠΊΡΠΈΠ΄ΠΈΠΉ.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ 20 ΡΡΠΏΠ»ΡΡ-Π±ΡΠΎΠΉΠ»Π΅ΡΠΎΠ² Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 6 Π½Π΅Π΄Π΅Π»Ρ Ρ ΡΠ΅ΡΠΌΡ, Π½Π΅Π±Π»Π°Π³ΠΎΠΏΠΎΠ»ΡΡΠ½ΠΎΠΉ ΠΏΠΎ ΠΊΠΎΠΊΡΠΈΠ΄ΠΈΠΎΠ·Ρ. Π¦ΡΠΏΠ»ΡΡ ΡΠ°Π·Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π° Π΄Π²Π΅ ΡΠ°Π²Π½ΡΠ΅ Π³ΡΡΠΏΠΏΡ. ΠΠ΅ΡΠ²Π°Ρ Π³ΡΡΠΏΠΏΠ° ΡΡΠΏΠ»ΡΡ Π±ΡΠ»Π° ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ ΠΈ ΠΈΠΌ ΠΏΡΠ΅ΠΏΠ°ΡΠ°Ρ Π½Π΅ Π·Π°Π΄Π°Π²Π°Π»ΠΈ. Π¦ΡΠΏΠ»ΡΡΠ°ΠΌ Π²ΡΠΎΡΠΎΠΉ Π³ΡΡΠΏΠΏΡ Π·Π°Π΄Π°Π²Π°Π»ΠΈ Π±Π°ΠΉΠΊΠΎΠΊΡ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ 2 ΡΡΡ Π² ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ 25 Ρ/ΠΌΠ»Π½ Π²ΠΌΠ΅ΡΡΠ΅ Ρ Π²ΠΎΠ΄ΠΎΠΉ. ΠΡΠΎΠ±Ρ ΠΏΠΎΠΌΠ΅ΡΠ° ΡΡΠΏΠ»ΡΡ-Π±ΡΠΎΠΉΠ»Π΅ΡΠΎΠ² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»ΠΈ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠ»ΠΎΡΠ°ΡΠΈΠΈ (Willis-Schlaaf), Π° Π·Π°ΡΠ΅ΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠ°ΠΊΠΠ°ΡΡΠ΅ΡΠ°. Π¦ΡΠΏΠ»ΡΡ ΡΠΌΠ΅ΡΡΠ²Π»ΡΠ»ΠΈ ΡΠ΅ΡΠ΅Π· 6 ΡΡΡ ΠΏΠΎΡΠ»Π΅ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ, ΠΈ ΠΈΡ
ΡΡΠ΅Π΄Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΎΠ±ΡΠ΅Π³ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΊΠΈΡΠ΅ΡΠ½ΠΈΠΊΠ° ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈ ΠΎΡ 0 Π΄ΠΎ 4 Π±Π°Π»Π»ΠΎΠ² ΠΏΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠΉ ΡΠΊΠ°Π»Π΅, ΠΎΠΏΠΈΡΠ°Π½Π½ΠΎΠΉ Johnson and Reid (1970).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅. ΠΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΠ΅ΡΡΡ Π²ΠΈΠ΄ΠΎΠ² ΠΏΡΠΎΡΡΠ΅ΠΉΡΠΈΡ
ΡΠΎΠ΄Π° Eimeria: E. acervulina, E. tenella, E. brunetti, E. maxima, E. mivati, E. necatrix, ΠΏΡΠΈ ΡΡΠΎΠΌ Π²ΠΈΠ΄Ρ E. necatrix ΠΈ E. maxima Π±ΡΠ»ΠΈ Π΄ΠΎΠΌΠΈΠ½ΠΈΡΡΡΡΠΈΠΌΠΈ. ΠΠΈΠ΄Ρ E. mivati, E. acervulina (76,34%) Π»ΠΎΠΊΠ°Π»ΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π² ΠΏΠ΅ΡΠ΅Π΄Π½Π΅ΠΌ ΡΠ΅Π³ΠΌΠ΅Π½ΡΠ΅ ΠΊΠΈΡΠ΅ΡΠ½ΠΈΠΊΠ°, E. necatrix, E. maxima (83,34%) β Π² ΡΡΠ΅Π΄Π½Π΅ΠΌ ΡΠ΅Π³ΠΌΠ΅Π½ΡΠ΅ ΡΠΎΠ½ΠΊΠΎΠΉ ΠΊΠΈΡΠΊΠΈ. E. brunetti ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Ρ Ρ 51,11% ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
ΡΡΠΏΠ»ΡΡ. ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π½ΡΠΉ Π²ΠΈΠ΄, E. tenella, ΠΏΠ°ΡΠ°Π·ΠΈΡΠΈΡΡΡΡΠΈΠΉ Π² ΡΠ»Π΅ΠΏΠΎΠΉ ΠΊΠΈΡΠΊΠ΅, ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ Ρ 37,53% ΠΎΡΠΎΠ±Π΅ΠΉ. CΡΠ΅Π΄Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΠΎΠ±ΡΠ΅Π³ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΊΠΈΡΠ΅ΡΠ½ΠΈΠΊΠ° Π² Π³ΡΡΠΏΠΏΠ΅ ΡΡΠΏΠ»ΡΡ, ΠΏΠΎΠ»ΡΡΠ°Π²ΡΠ΅ΠΉ Π±Π°ΠΉΠΊΠΎΠΊΡ, ΡΠΎΡΡΠ°Π²ΠΈΠ» 0,33. Π£ΡΠΎΠ²Π΅Π½Ρ Π·Π°Π³ΡΡΠ·Π½Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ΅ΠΊΠ°Π»ΠΈΠΉ ΠΎΠΎΡΠΈΡΡΠ°ΠΌΠΈ ΠΏΠΎΡΠ»Π΅ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π²ΠΎ Π²ΡΠΎΡΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ ΡΠΎΡΡΠ°Π²ΠΈΠ» 1 (ΠΎΡ 1 Π΄ΠΎ 50 ΠΎΠΎΡΠΈΡΡ Π² 1 Π³ ΡΠ΅ΠΊΠ°Π»ΠΈΠΉ), Π² ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΠ΅ β ΠΏΡΠ΅Π²ΡΡΠ°Π» 3, Π° ΡΡΠ΅Π΄Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ ΠΎΠ±ΡΠ΅Π³ΠΎ ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΊΠΈΡΠ΅ΡΠ½ΠΈΠΊΠ° β 2,5.
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