40 research outputs found
Josephson Junction spectrum analyzer for millimeter and submillimeter wavelengths
A prototype of the Josephson-effect spectrum analyzer developed for the millimeter wave band is described. The measurement results for spectra obtained in the frequency band from 50 to 250 GHz are presented
Observation of Stochastic Resonance in Percolative Josephson Media
Measurements of the electrical response of granular Sn-Ge thin films below
the superconducting transition temperature are reported. The addition of an
external noise to the magnetic field applied to the sample is found to increase
the sample voltage response to a small externally applied ac signal. The gain
coefficient for this signal and the signal-to-noise ratio display clear maxima
at particular noise levels. We interpret these observations as a stochastic
resonance in the percolative Josephson media which occurs close to the
percolation threshold.Comment: 4 pages, 5 figure
Josephson frequency meter for millimeter and submillimeter wavelengths
Frequency measurements of electromagnetic oscillations of millimeter and submillimeter wavebands with frequency growth due to a number of reasons become more and more difficult. First, these frequencies are considered to be cutoffs for semiconductor converting devices and one has to use optical measurement methods instead of traditional ones with frequency transfer. Second, resonance measurement methods are characterized by using relatively narrow bands and optical ones are limited in frequency and time resolution due to the limited range and velocity of movement of their mechanical elements as well as the efficiency of these optical techniques decrease with the increase of wavelength due to diffraction losses. That requires a priori information on the radiation frequency band of the source involved. Method of measuring frequency of harmonic microwave signals in millimeter and submillimeter wavebands based on the ac Josephson effect in superconducting contacts is devoid of all the above drawbacks. This approach offers a number of major advantages over the more traditional measurement methods, that is one based on frequency conversion, resonance and interferometric techniques. It can be characterized by high potential accuracy, wide range of frequencies measured, prompt measurement and the opportunity to obtain a panoramic display of the results as well as full automation of the measuring process
Clinical and radiological characteristics of patients with plantar fasciitis
Aim: to study the clinical and radiological parameters of patients with plantar fasciitis.Materials and methods: the study involved 91 patients with plantar fasciitis, 73 (80.2%) women, 18 (19.8%) men. The mean age of the patients was 53.42 Β± 9.16 years, disease duration was 30.32 Β± 8.06 days, BMI was 24.75 Β± 4.55 kg/m2. Patients underwent history taking, pain level and quality of life were assessed using the visual analogue scale, the SF-36 questionnaire and the AOFAS scale. The functional state of the feet was assessed using plantoscopy, Y-balance test, Friedland index. X-ray parameters were assessed using magnetic resonance imaging.Results: the disease is common among women aged 51 to 60 years. In 100% of cases, there is no traumatic etiological factor, 42.9% of the subjects note an increase in body weight as the cause, 35.2% β the relationship of the onset of pain with wearing flat shoes; men are more likely to associate the onset of symptoms with an increase in physical activity (83.3%). Subjective sensation of pain on the VAS does not depend on gender (p = 0.280), age (p = 0.509), disease duration (p = 0.371), BMI (p = 0.974). X-ray parameters of patients are characterized in 49.5% by the absence of heel exostosis, in other cases, the development of a heel spur is more typical for women (p = 0.019), its length does not depend on the duration of the disease (p = 0.845), age (p = 0.054), BMI (p = 0.196), lifestyle (p = 0.324) and does not correlate with the severity of pain (p = 0.691). The level of pain is directly proportional to the thickness of the plantar fascia (p < 0.001, Ο = 0.459). Calcaneal edema is observed in 14.3 % of patients, soft tissue edema β in 18.7 %; there was no relationship between calcaneal edema (p = 0.604) and soft tissue edema (p = 0.541) with the severity of pain, and calcaneal edema directly correlates with BMI (p = 0.029).Conclusion: These studies suggest that among the predictors of the development of plantar fasciitis, the most significant are female gender, overweight, wearing flat shoes, and the disease itself is not always a consequence of the development of a heel spur
Collective dynamics of two-mode stochastic oscillators
We study a system of two-mode stochastic oscillators coupled through their
collective output. As a function of a relevant parameter four qualitatively
distinct regimes of collective behavior are observed. In an extended region of
the parameter space the periodicity of the collective output is enhanced by the
considered coupling. This system can be used as a new model to describe
synchronization-like phenomena in systems of units with two or more oscillation
modes. The model can also explain how periodic dynamics can be generated by
coupling largely stochastic units. Similar systems could be responsible for the
emergence of rhythmic behavior in complex biological or sociological systems.Comment: 4 pages, RevTex, 5 figure
ΠΡΠ΅Π½ΠΊΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΈ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΈΠΈ ΠΎΡ ΠΎΡΠΈΡΡΠΊΠΈ Π½Π΅ΡΡΠ΅ΡΠ»Π°ΠΌΠ° Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ ΡΠ°ΡΡΠΈ Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ²ΠΎΠ΄Π°
The paper presents evaluation method of electric power saving due to periodical cleaning of oil pipeline linear part which is intended to increase an equivalent diameter of the pipeline. The proposed method is based on statistical model developed on the basis of 24-hourly statistics reflecting modes of electric power consumption that take place at an enterprise. Electric power saving is evaluated according to changes of an equivalent diameter in the process of oil pipeline cleaning (and after this process) with respect to changes of an equivalent diameter without pipeline cleaning.ΠΠ·Π»ΠΎΠΆΠ΅Π½ ΡΠΏΠΎΡΠΎΠ± ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΈ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΈΠΈ ΠΎΡ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠΈΡΡΠΊΠΈ Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠΉ ΡΠ°ΡΡΠΈ Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ²ΠΎΠ΄Π°, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ Π½Π° ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΠ΅ ΡΠΊΠ²ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠ° Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ²ΠΎΠ΄Π°. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΡΠΉ ΡΠΏΠΎΡΠΎΠ± ΠΎΡΠ½ΠΎΠ²ΡΠ²Π°Π΅ΡΡΡ Π½Π° ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΏΠΎΡΡΡΠΎΠ΅Π½Π½ΠΎΠΉ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΡΠΎΡΠ½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ, ΠΎΡΡΠ°ΠΆΠ°ΡΡΠ΅ΠΉ ΡΠ»ΠΎΠΆΠΈΠ²ΡΠΈΠ΅ΡΡ Π½Π° ΠΏΡΠ΅Π΄ΠΏΡΠΈΡΡΠΈΠΈ ΡΠ΅ΠΆΠΈΠΌΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ. ΠΠΊΠΎΠ½ΠΎΠΌΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΈΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π΅ΡΡΡ ΠΏΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΊΠ²ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠ° Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ²ΠΎΠ΄Π° Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΎΡΠΈΡΡΠΊΠΈ Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ²ΠΎΠ΄Π° (ΠΈ ΠΏΠΎΡΠ»Π΅ Π½Π΅Π΅) ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΊΠ²ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠ° Π±Π΅Π· ΠΎΡΠΈΡΡΠΊΠΈ Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ²ΠΎΠ΄Π°
Π‘ΠΠΠ‘ΠΠ ΠΠΠ‘Π’Π ΠΠΠΠΠ― ΠΠΠΠΠΠ Π ΠΠΠΠΠΠ ΠΠΠΠΠ’Π ΠΠΠΠ’Π ΠΠΠΠΠΠΠ― Π£Π§ΠΠ‘Π’ΠΠ ΠΠΠ€Π’ΠΠΠ ΠΠΠΠΠ
The paper proposes a method for model development of power consumption modes at oil pipeline part that makes it possible to reduce uncertainty in behaviour of electric power consumption due to application of a sliding average. In order to estimate economy in electric power as a result of power saving measures in the technological process of oil transportation an expediency is proved to select an averaging period which is equal to 30 days.Β ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΡΠΏΠΎΡΠΎΠ± ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΡΠ»Π΅ΠΊΡΡΠΎΠΏΠΎΡΡΠ΅Π±Π»Π΅Π½ΠΈΡ ΡΡΠ°ΡΡΠΊΠ° Π½Π΅ΡΡΠ΅ΠΏΡΠΎΠ²ΠΎΠ΄Π°, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΠΉ ΡΠ½ΠΈΠ·ΠΈΡΡ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΡΡΡ Π² ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΡΠ°ΡΡ
ΠΎΠ΄Π° ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΈΠΈ Π·Π° ΡΡΠ΅Ρ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΡΠ·ΡΡΠ΅Π³ΠΎ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎ. ΠΠ»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΈ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ½Π΅ΡΠ³ΠΈΠΈ ΠΎΡ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ½Π΅ΡΠ³ΠΎΡΠ±Π΅ΡΠ΅Π³Π°ΡΡΠΈΡ
ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉ Π² ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠΈΡΠΎΠ²ΠΊΠΈ Π½Π΅ΡΡΠΈ Π΄ΠΎΠΊΠ°Π·Π°Π½Π° ΡΠ΅Π»Π΅ΡΠΎΠΎΠ±ΡΠ°Π·Π½ΠΎΡΡΡ Π²ΡΠ±ΠΎΡΠ° ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΡΡΡΠ΅Π΄Π½Π΅Π½ΠΈΡ, ΡΠ°Π²Π½ΠΎΠ³ΠΎ 30 ΡΡΡ