10 research outputs found
Particle swarm based arc detection on time series in pantograph-catenary system
Pantograph-catenary system is the most important
component for transmitting the electric energy to the train. If the
faults have not detected in an early stage, energy can disrupt the
energy and this leads to more serious faults. The arcs occurred in
the contact point is the first step of a fault. When they are
detected in an early stage, catastrophic faults and accidents can
be avoided. In this study, a new approach has been proposed to
detect arcs in pantograph-catenary system. The proposed method
applies a threshold value to each video frame and the rate of
sudden glares are converted to time series. The phase space of the
obtained time series is constructed and the arc event is found by
using particle swarm optimization. The proposed method is
analyzed by using real pantograph-videos and good result have
been obtained.Pantograph-catenary system is the most important
component for transmitting the electric energy to the train. If the
faults have not detected in an early stage, energy can disrupt the
energy and this leads to more serious faults. The arcs occurred in
the contact point is the first step of a fault. When they are
detected in an early stage, catastrophic faults and accidents can
be avoided. In this study, a new approach has been proposed to
detect arcs in pantograph-catenary system. The proposed method
applies a threshold value to each video frame and the rate of
sudden glares are converted to time series. The phase space of the
obtained time series is constructed and the arc event is found by
using particle swarm optimization. The proposed method is
analyzed by using real pantograph-videos and good result have
been obtained
Dinamik sistemlerde zaman serileri analizi ile öğrenme tabanlı bilgi çıkarımı / Learning based information extraction by time series analysis in dynamic systems
Dinamik sistemlerde zaman serileri analizi ile öğrenme tabanlı bilgi çıkarımı / Learning based information extraction by time series analysis in dynamic systems
Effect of dc field on ac-loss peak in a commercial Bi:2223/Ag tape
Measurements of the ac susceptibility in a commercial Bi:2223/Ag tape for some different ac magnetic field amplitudes, Hac, in the presence of bias magnetic field Hdc directed along Hac are reported. It is found that the peak values of the imaginary component of ac susceptibility χ″max versus Hac trace a valley for the orientation where applied field Ha perpendicular to wide face of the tape total. We note that the observation of the valley depends on various parameters such as field dependence parameter n in the critical current density, in the simple power law expression jc = α(T)/Bn, choice of the bias field Hdc together with selected ac field amplitudes Hac, and dimension and geometry of sample studied. Our calculations based on critical state model with jc = α(1 − T/Tcm)p/Bn using the fitting parameters of n = 0.25, p = 2.2, Tcm = 108 K gives quite good results to compare the experimental and calculated curves
Fusidic acid resistance of methicillin resistant and sensitive staphylococcus strains ısolated from clinical specimens
Bu çalışma fusidik asitin stafilokoklara in-vitro etkisini belirlemek amacıyla yapılmıştır. Araştırmaya alınan suşlar Temmuz 2001- Haziran 2002 tarihleri arasında Afyon SSK Hastanesi Mikrobiyoloji Laboratuvarı’nda değerlendirmeye alınan çeşitli klinik örneklerden izole edilmiştir. Metisilin ve fusidik asit direnci agar disk difüzyon yöntemi ile araştırılmıştır.
İzole edilen 122 stafilokok suşunun 46’sı (%38) Staphylococcus aureus, 76’sı (%62) koagülaz negatif stafilokok (KNS) olarak tanımlanmıştır. S. aureus suşlarının 29’u (%63) ve KNS’ların 50’si (%66) metisiline dirençli bu¬lunmuştur. Metisiline dirençli Staphylococcus aureus (MRSA) suşlarının 2’si (%7), metisilin duyarlı
Staphylococcus aureus (MSSA) suşlarının 1’i (%6), metisilin dirençli koagülaz negatif stafilokok (MRKNS) suşlarının 16’sı (%32) ve metisilin duyarlı koagülaz negatif stafilokok (MSKNS) suşlarının 3’ü (%12) fusidik asite dirençli bulunmuştur.
Bu sonuçlar, fusidik asitin stafilokokal enfeksiyonların tedavisinde tercihte gözardı edilmemesi gereken bir antibiyotik olduğunu göstermektedir.This study was carried out in order to determine the in-vitro effect of fusidic acid on stapyhlococci. The investigated strains were isolated from various clinical materials which evaluated in Microbiology Laboratory of Afyon Social Insurance Instution Hospital during the period from July 2001 to June 2002. Methicillin and fusidic acid resistance were investigated by agar disk diffusion method.
Of the isolated 122 Stapylococcus strains 46 (38%) were identified as Staphylococcus aureus, 76 (62%) were coagulase negative staphylococci (CNS). Twenty nine (63%) of Staphylococcus aureus and 50 (66%) of coagulase negative Staphylococcus strains were methicillin resistant. Two (7%) of methicillin resistant Staphylococcus aureus (MRSA) strains, 1 (6%) of methicillin sensitive Staphylococcus aureus (MSSA) strains, 16 (32%) of methicillin resistant coagulase negative Staphylococcus (MRCNS) strains and 3 (12%) of methicillin sensitive coagulase negative Staphylococcus (MSCNS) strains were found to be resistant to fusidic acid.
These results indicated that fusidic has not to be excluded in preference of the antibiotic treatment of staphylococcal in-fections
Fusidic acid resistance of methicillin resistant and sensitive staphylococcus strains ısolated from clinical specimens
Bu çalışma fusidik asitin stafilokoklara in-vitro etkisini belirlemek amacıyla yapılmıştır. Araştırmaya alınan suşlar Temmuz 2001- Haziran 2002 tarihleri arasında Afyon SSK Hastanesi Mikrobiyoloji Laboratuvarı’nda değerlendirmeye alınan çeşitli klinik örneklerden izole edilmiştir. Metisilin ve fusidik asit direnci agar disk difüzyon yöntemi ile araştırılmıştır.
İzole edilen 122 stafilokok suşunun 46’sı (%38) Staphylococcus aureus, 76’sı (%62) koagülaz negatif stafilokok (KNS) olarak tanımlanmıştır. S. aureus suşlarının 29’u (%63) ve KNS’ların 50’si (%66) metisiline dirençli bu¬lunmuştur. Metisiline dirençli Staphylococcus aureus (MRSA) suşlarının 2’si (%7), metisilin duyarlı
Staphylococcus aureus (MSSA) suşlarının 1’i (%6), metisilin dirençli koagülaz negatif stafilokok (MRKNS) suşlarının 16’sı (%32) ve metisilin duyarlı koagülaz negatif stafilokok (MSKNS) suşlarının 3’ü (%12) fusidik asite dirençli bulunmuştur.
Bu sonuçlar, fusidik asitin stafilokokal enfeksiyonların tedavisinde tercihte gözardı edilmemesi gereken bir antibiyotik olduğunu göstermektedir.This study was carried out in order to determine the in-vitro effect of fusidic acid on stapyhlococci. The investigated strains were isolated from various clinical materials which evaluated in Microbiology Laboratory of Afyon Social Insurance Instution Hospital during the period from July 2001 to June 2002. Methicillin and fusidic acid resistance were investigated by agar disk diffusion method.
Of the isolated 122 Stapylococcus strains 46 (38%) were identified as Staphylococcus aureus, 76 (62%) were coagulase negative staphylococci (CNS). Twenty nine (63%) of Staphylococcus aureus and 50 (66%) of coagulase negative Staphylococcus strains were methicillin resistant. Two (7%) of methicillin resistant Staphylococcus aureus (MRSA) strains, 1 (6%) of methicillin sensitive Staphylococcus aureus (MSSA) strains, 16 (32%) of methicillin resistant coagulase negative Staphylococcus (MRCNS) strains and 3 (12%) of methicillin sensitive coagulase negative Staphylococcus (MSCNS) strains were found to be resistant to fusidic acid.
These results indicated that fusidic has not to be excluded in preference of the antibiotic treatment of staphylococcal in-fections
Magnetization of Gd diffused YBa2Cu3O7-x superconductor: experiment and theory
Ozturk, Kemal/0000-0002-8847-1880WOS: 000321898100083The magnetization of Gd diffused YBa2Cu3O7-x is measured by a vibrating sample magnetometer (VSM) at selected temperatures (5, 25, 50, 77 K). the experimental results for the magnetization are analyzed in the critical state framework involving Kim-Anderson field dependence J(c)(H) = J(c0)/(1 + vertical bar H vertical bar/H-0)(n) of critical current density and equilibrium magnetization M-eq. It is found that the inclusion of the equilibrium magnetization becomes more important at higher temperatures. At 77 K, the shape of the isothermal M-H hysteresis curve is governed by the equilibrium magnetization. Some superconducting parameters are determined by fitting the calculated curves to the experimental data
Particle swarm based arc detection on time series in pantograph-catenary system
Pantograph-catenary system is the most important
component for transmitting the electric energy to the train. If the
faults have not detected in an early stage, energy can disrupt the
energy and this leads to more serious faults. The arcs occurred in
the contact point is the first step of a fault. When they are
detected in an early stage, catastrophic faults and accidents can
be avoided. In this study, a new approach has been proposed to
detect arcs in pantograph-catenary system. The proposed method
applies a threshold value to each video frame and the rate of
sudden glares are converted to time series. The phase space of the
obtained time series is constructed and the arc event is found by
using particle swarm optimization. The proposed method is
analyzed by using real pantograph-videos and good result have
been obtained.Pantograph-catenary system is the most important
component for transmitting the electric energy to the train. If the
faults have not detected in an early stage, energy can disrupt the
energy and this leads to more serious faults. The arcs occurred in
the contact point is the first step of a fault. When they are
detected in an early stage, catastrophic faults and accidents can
be avoided. In this study, a new approach has been proposed to
detect arcs in pantograph-catenary system. The proposed method
applies a threshold value to each video frame and the rate of
sudden glares are converted to time series. The phase space of the
obtained time series is constructed and the arc event is found by
using particle swarm optimization. The proposed method is
analyzed by using real pantograph-videos and good result have
been obtained