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Автор: Grafiati

Опубліковано: 28 січня 2023

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1

Golosovsky, M., M. Tsindlekht, and D. Davidov. "High-frequency vortex dynamics in." Superconductor Science and Technology 9, no. 1 (January 1, 1996): 1–15. http://dx.doi.org/10.1088/0953-2048/9/1/001.

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2

Niederer, Peter F., Rudolf Leuthold, Eric H. Bush, Donath R. Spahn, and Edith R. Schmid. "High-frequency ventilation: Oscillatory dynamics." Critical Care Medicine 22, SUPPL. (September 1994): S58—S65. http://dx.doi.org/10.1097/00003246-199422091-00005.

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3

Chang, Yuan Lung. "Inferring Markov Chain for Modeling Order Book Dynamics in High Frequency Environment." International Journal of Machine Learning and Computing 5, no. 3 (June 2015): 247–51. http://dx.doi.org/10.7763/ijmlc.2015.v5.515.

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4

Beenakker, C. W. J., K. J. H. van Bemmel, and P. W. Brouwer. "High-frequency dynamics of wave localization." Physical Review E 60, no. 6 (December 1, 1999): R6313—R6315. http://dx.doi.org/10.1103/physreve.60.r6313.

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5

Farutin, A. M., and V. I. Marchenko. "High-field low-frequency spin dynamics." Journal of Experimental and Theoretical Physics Letters 83, no. 6 (May 2006): 238–39. http://dx.doi.org/10.1134/s002136400606004x.

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6

Bove, L. E., C. Petrillo, and F. Sacchetti. "High frequency dynamics of liquid metals." Journal of Neutron Research 14, no. 4 (December 2006): 339–44. http://dx.doi.org/10.1080/10238160601049088.

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7

Sani, L., L. E. Bove, C. Petrillo, and F. Sacchetti. "High frequency dynamics of liquid bismuth." Journal of Non-Crystalline Solids 353, no. 32-40 (October 2007): 3139–44. http://dx.doi.org/10.1016/j.jnoncrysol.2007.05.047.

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8

Scopigno, T., E. Pontecorvo, R. Di Leonardo, M. Krisch, G. Monaco, G. Ruocco, B. Ruzicka, and F. Sette. "High-frequency transverse dynamics in glasses." Journal of Physics: Condensed Matter 15, no. 11 (March 10, 2003): S1269—S1278. http://dx.doi.org/10.1088/0953-8984/15/11/345.

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9

Dubelaar, George B. J., Paul J. F. Geerders, and Richard R. Jonker. "High frequency monitoring reveals phytoplankton dynamics." Journal of Environmental Monitoring 6, no. 12 (2004): 946. http://dx.doi.org/10.1039/b409350j.

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10

Ruocco, Giancarlo, and Francesco Sette. "High-frequency vibrational dynamics in glasses." Journal of Physics: Condensed Matter 13, no. 41 (September 28, 2001): 9141–64. http://dx.doi.org/10.1088/0953-8984/13/41/307.

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11

Giordano, Valentina M., and Giulio Monaco. "High frequency dynamics in liquid Cs at high pressure." Journal of Chemical Physics 131, no. 1 (July 7, 2009): 014501. http://dx.doi.org/10.1063/1.3159780.

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12

Fioretto, D., U. Buchenau, L. Comez, A. Sokolov, C. Masciovecchio, A. Mermet, G. Ruocco, et al. "High-frequency dynamics of glass-forming polybutadiene." Physical Review E 59, no. 4 (April 1, 1999): 4470–75. http://dx.doi.org/10.1103/physreve.59.4470.

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13

Taylor, Nicholas. "Market and idiosyncratic volatility: high frequency dynamics." Applied Financial Economics 20, no. 9 (May 2010): 739–51. http://dx.doi.org/10.1080/09603100903459923.

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14

Krishnan, Giri P., Gregory Filatov, and Maxim Bazhenov. "Dynamics of high-frequency synchronization during seizures." Journal of Neurophysiology 109, no. 10 (May 15, 2013): 2423–37. http://dx.doi.org/10.1152/jn.00761.2012.

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Pathological synchronization of neuronal firing is considered to be an inherent property of epileptic seizures. However, it remains unclear whether the synchrony increases for the high-frequency multiunit activity as well as for the local field potentials (LFPs). We present spatio-temporal analysis of synchronization during epileptiform activity using wide-band (up to 2,000 Hz) spectral analysis of multielectrode array recordings at up to 60 locations throughout the mouse hippocampus in vitro. Our study revealed a prominent structure of LFP profiles during epileptiform discharges, triggered by elevated extracellular potassium, with characteristic distribution of current sinks and sources with respect to anatomical structure. The cross-coherence of high-frequency activity (500–2,000 Hz) across channels was reduced during epileptic bursts compared with baseline activity and showed the opposite trend for lower frequencies. Furthermore, the magnitude of cross-coherence during epileptiform activity was dependent on distance: electrodes closer to the epileptic foci showed increased cross-coherence and electrodes further away showed reduced cross-coherence for high-frequency activity. These experimental observations were re-created and supported in a computational model. Our study suggests that different intrinsic and synaptic processes can mediate paroxysmal synchronization at low, medium, and high frequencies.

15

Ruocco, Giancarlo, and Francesco Sette. "The high-frequency dynamics of liquid water." Journal of Physics: Condensed Matter 11, no. 24 (January 1, 1999): R259—R293. http://dx.doi.org/10.1088/0953-8984/11/24/202.

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16

Savin, Éric. "High-frequency dynamics of heterogeneous slender structures." Journal of Sound and Vibration 332, no. 10 (May 2013): 2461–87. http://dx.doi.org/10.1016/j.jsv.2012.10.009.

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17

Yang Sun, D. E. Kruse, P. A. Dayton, and K. W. Ferrara. "High-frequency dynamics of ultrasound contrast agents." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 52, no. 11 (November 2005): 1981–91. http://dx.doi.org/10.1109/tuffc.2005.1561667.

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18

Monaco, A., T. Scopigno, P. Benassi, A. Giugni, G. Monaco, M. Nardone, G. Ruocco, and M. Sampoli. "High frequency collective dynamics in liquid potassium." Journal of Non-Crystalline Solids 353, no. 32-40 (October 2007): 3154–59. http://dx.doi.org/10.1016/j.jnoncrysol.2007.05.049.

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19

Belyaev, A. K. "Vibrational conductivity approach to high-frequency dynamics." Nuclear Engineering and Design 150, no. 2-3 (September 1994): 281–86. http://dx.doi.org/10.1016/0029-5493(94)90145-7.

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20

Fàbrega, L., J. Fontcuberta, L. Civale, and S. Piñol. "High-frequency flux dynamics in single-crystalNd1.85Ce0.15CuO4." Physical Review B 50, no. 2 (July 1, 1994): 1199–208. http://dx.doi.org/10.1103/physrevb.50.1199.

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21

Kremer, E. "Low-frequency dynamics of systems with modulated high-frequency stochastic excitation." Journal of Sound and Vibration 437 (December 2018): 422–36. http://dx.doi.org/10.1016/j.jsv.2018.08.053.

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22

Yeh, N. C. "High-frequency vortex dynamics and dissipation of high-temperature superconductors." Physical Review B 43, no. 1 (January 1, 1991): 523–31. http://dx.doi.org/10.1103/physrevb.43.523.

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23

Koláček, Jan, and Etsuo Kawate. "High frequency vortex dynamics and magnetoconductivity of high temperature superconductors." Physics Letters A 260, no. 3-4 (September 1999): 300–307. http://dx.doi.org/10.1016/s0375-9601(99)00515-0.

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24

Richards, D., J. G. Leopold, and R. V. Jensen. "Classical and quantum dynamics in high-frequency fields." Journal of Physics B: Atomic, Molecular and Optical Physics 22, no. 3 (February 14, 1989): 417–33. http://dx.doi.org/10.1088/0953-4075/22/3/008.

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25

Pegrum, C. M. "The dynamics of high-frequency DC RSQUID oscillators." Superconductor Science and Technology 22, no. 6 (May 14, 2009): 064004. http://dx.doi.org/10.1088/0953-2048/22/6/064004.

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26

Dorier, J. ‐L, Ch Hollenstein, A. A. Howling, and U. Kroll. "Powder dynamics in very high frequency silane plasmas." Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films 10, no. 4 (July 1992): 1048–52. http://dx.doi.org/10.1116/1.578200.

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27

Bencivenga, F., A. Cunsolo, M. Krisch, G. Monaco, G. Ruocco, and F. Sette. "High-frequency dynamics of liquid and supercritical nitrogen." Philosophical Magazine 87, no. 3-5 (January 21, 2007): 665–71. http://dx.doi.org/10.1080/14786430601003924.

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28

Stamps, R. L. "High frequency spin dynamics in magnetic heterostructures (invited)." Journal of Applied Physics 89, no. 11 (June 2001): 7101–6. http://dx.doi.org/10.1063/1.1359790.

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29

Alvarez, M., F. J. Bermejo, P. Verkerk, and B. Roessli. "High-Frequency Dynamics in a Molten Binary Alloy." Physical Review Letters 80, no. 10 (March 9, 1998): 2141–44. http://dx.doi.org/10.1103/physrevlett.80.2141.

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30

Bitko, D., N. Menon, S. R. Nagel, T. F. Rosenbaum, and G. Aeppli. "High-frequency dynamics and the spin-glass transition." Europhysics Letters (EPL) 33, no. 6 (February 20, 1996): 489–94. http://dx.doi.org/10.1209/epl/i1996-00368-1.

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31

Lin, Yu Sen, Li Hua Xin, and Min Xiang. "Parameters Analysis of Train Running Performance on High-Speed Bridge during Earthquake." Advanced Materials Research 163-167 (December 2010): 4457–63. http://dx.doi.org/10.4028/www.scientific.net/amr.163-167.4457.

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A model of coupled vehicle-bridge system excited by earthquake and irregular track is established for studying train running performance on high-speed bridge during earthquake, by the methods of bridge structure dynamics and vehicle dynamics. The results indicate that under Qian’an earthquake waves vehicle dynamical responses hardly vary with the increasing-height pier, but vehicle dynamical responses increase evidently while the height of pier is 18m, which the natural vibration frequency is approaching to dominant frequency of earthquake waves. Dynamic responses are linearly increasing with earthquake wave strength. Dynamic response of vehicles including lateral car body accelerations and every safety evaluation index all increase with train speed, so the influences of train speed must be taken into account in evaluating running safety of vehicles on bridge during earthquakes, but lateral displacement of bridge is varying irregularly. Dynamic responses and lateral displacement of bridge reduce under the higher dominant frequency of earthquake wave. Derailment coefficient, later wheel-rail force and lateral vehicle acceleration become small with increasing damping ratio. Vertical vehicle acceleration and reduction rate of wheel load are hardly varying with damping ratio.

32

Barth, Alexander, Charles Troupin, Emma Reyes, Aida Alvera-Azcárate, Jean-Marie Beckers, and Joaquín Tintoré. "Variational interpolation of high-frequency radar surface currents using DIVAnd." Ocean Dynamics 71, no. 3 (January 23, 2021): 293–308. http://dx.doi.org/10.1007/s10236-020-01432-x.

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AbstractDIVAnd (Data-Interpolating Variational Analysis, in n-dimensions) is a tool to interpolate observations on a regular grid using the variational inverse method. We have extended DIVAnd to include additional dynamic constraints relevant to surface currents, including imposing a zero normal velocity at the coastline, imposing a low horizontal divergence of the surface currents, temporal coherence and simplified dynamics based on the Coriolis force, and the possibility of including a surface pressure gradient. The impact of these constraints is evaluated by cross-validation using the HF (high-frequency) radar surface current observations in the Ibiza Channel from the Balearic Islands Coastal Ocean Observing and Forecasting System (SOCIB). A small fraction of the radial current observations are set aside to validate the velocity reconstruction. The remaining radial currents from the two radar sites are combined to derive total surface currents using DIVAnd and then compared to the cross-validation dataset and to drifter observations. The benefit of the dynamic constraints is shown relative to a variational interpolation without these dynamical constraints. The best results were obtained using the Coriolis force and the surface pressure gradient as a constraint which are able to improve the reconstruction from the Open-boundary Modal Analysis, a quite commonly used method to interpolate HF radar observations, once multiple time instances are considered together.

33

Rigato, Annafrancesca, Atsushi Miyagi, Simon Scheuring, and Felix Rico. "High-frequency microrheology reveals cytoskeleton dynamics in living cells." Nature Physics 13, no. 8 (May 1, 2017): 771–75. http://dx.doi.org/10.1038/nphys4104.

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34

Wells, J. C., I. Simbotin, and M. Gavrila. "High-frequency Floquet-theory content of wave-packet dynamics." Physical Review A 56, no. 5 (November 1, 1997): 3961–73. http://dx.doi.org/10.1103/physreva.56.3961.

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35

Lunkenheimer, P., R. Brand, U. Schneider, and A. Loidl. "Excess wing and high frequency dynamics in plastic crystals." Philosophical Magazine B 79, no. 11-12 (November 1999): 1945–51. http://dx.doi.org/10.1080/13642819908223081.

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36

Bacry, Emmanuel, and Jean-François Muzy. "Hawkes model for price and trades high-frequency dynamics." Quantitative Finance 14, no. 7 (April 2014): 1147–66. http://dx.doi.org/10.1080/14697688.2014.897000.

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37

Kenourgios, Dimitris, Stephanos Papadamou, and Dimitrios Dimitriou. "On quantitative easing and high frequency exchange rate dynamics." Research in International Business and Finance 34 (May 2015): 110–25. http://dx.doi.org/10.1016/j.ribaf.2015.01.003.

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38

Angelini, R., T. Scopigno, A. Beraud, and G. Ruocco. "High frequency dynamics of an orientationally disordered molecular crystal." Journal of Non-Crystalline Solids 352, no. 42-49 (November 2006): 4552–55. http://dx.doi.org/10.1016/j.jnoncrysol.2006.02.175.

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39

Christensen, Hugh L., James Murphy, and Simon J. Godsill. "Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics." IEEE Journal of Selected Topics in Signal Processing 6, no. 4 (August 2012): 366–80. http://dx.doi.org/10.1109/jstsp.2012.2191532.

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40

Ackermann, D. Michael, Niloy Bhadra, Meana Gerges, and Peter J. Thomas. "Dynamics and sensitivity analysis of high-frequency conduction block." Journal of Neural Engineering 8, no. 6 (October 1, 2011): 065007. http://dx.doi.org/10.1088/1741-2560/8/6/065007.

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41

Lindh, Markus V., Johanna Sjöstedt, Anders F. Andersson, Federico Baltar, Luisa W. Hugerth, Daniel Lundin, Saraladevi Muthusamy, Catherine Legrand, and Jarone Pinhassi. "Disentangling seasonal bacterioplankton population dynamics by high-frequency sampling." Environmental Microbiology 17, no. 7 (January 27, 2015): 2459–76. http://dx.doi.org/10.1111/1462-2920.12720.

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42

Fujihashi, Yuta, Lipeng Chen, Akihito Ishizaki, Junling Wang, and Yang Zhao. "Effect of high-frequency modes on singlet fission dynamics." Journal of Chemical Physics 146, no. 4 (January 28, 2017): 044101. http://dx.doi.org/10.1063/1.4973981.

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43

Lunkenheimer, R. Brand, U. Schneide, P. "Excess wing and high frequency dynamics in plastic crystals." Philosophical Magazine B 79, no. 11-12 (November 1, 1999): 1945–51. http://dx.doi.org/10.1080/014186399256105.

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44

Li, Jian, Yong Lu, Fengshuo He, and Lixian Miao. "High-Frequency Position Servo Control of Hydraulic Actuator with Valve Dynamic Compensation." Actuators 11, no. 3 (March 20, 2022): 96. http://dx.doi.org/10.3390/act11030096.

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Анотація:

Hydraulic actuators play an important role in various industries. In the last decades, to improve system performance, some advanced control methods have been developed. Backstepping control, which can deal with the system nonlinearities, is widely used in hydraulic system motion control. This paper focuses on the high-frequency position servo control of hydraulic systems with proportional valves. In backstepping controllers, valve dynamics are usually ignored due to difficulty of controller implementation. In this paper, valve dynamics of the proportional valve were decoupled into phase delay and amplitude delay. The valve dynamics are compensated without increasing the system order. The phase delay is compensated by desired engine valve lifts transformation. For amplitude delay, the paper proposes a compensation strategy based on the integral flow error. By introducing the feedback of the integral flow error to the backstepping controller, the system has faster dynamic responses. Besides, the controller also synthesized proportional valve dead-zone and system uncertainties. The comparative experiment results show that the controller with integral flow compensation can improve engine valve lift tracking precision both in steady and transient conditions.

45

Arkhipova, N. B., A. Yu Ulitin, M. M. Tastanbekov, and M. V. Aleksandrov. "HIGH-FREQUENCY ELECTROCORTICOGRAPHIC MARKER OF EPILEPTOGENIC ZONE." Translational Medicine 5, no. 6 (February 21, 2019): 23–30. http://dx.doi.org/10.18705/2311-4495-2018-5-6-23-30.

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Background. The search for new markers of the epileptogenic zone (EZ) for the surgical treatment of epilepsy is currently of relevance. Pathological high-frequency oscillations (pHFO) are considered to be a potential marker for EZ. Papers devoted to this topic are few and insufficiently systematized, mostly due to a small quantity of patients.Objective. This study was aimed to determine the diagnostic efficacy of high-frequency electrocorticography (HF ECoG) based on the epilepsy surgery outcomes.Design and methods. This is an original retrospective study of high-frequency bioelectrical activity parameters in 114 patients who underwent surgical treatment in the Polenov Neurosurgical Institute Clinic during 2017–2018. In the subgroup of patients with pharmacoresistant course of structural epilepsy (21 patients) on the preresective electrocorticogram, the pHFO index was higher than in the subgroup with intracerebral neoplasms (11 patients), which may be associated with a longer history and severity of the disease.Results. Through the analysis of the high-frequency component of the post-resective HF ECoG, it was shown that the presence or absence of pHFO in the range of 250–500 Hz does not affect the seizure outcome. The dynamics of the high-frequency activity index before and after the resection are statistically significant for the seizure outcome prediction for structural epilepsy surgery. In this study, the specificity of the pHFO dynamics analysis technique was 85.71 % and sensitivity equaled 58.33 %.Conclusion. Thus, the HF ECoG and the assessment of the dynamics of the pHFO index in the range of 250–500 Hz can complement the traditional method of intraoperative ECoG in the range of up to 70 Hz, including the prediction of the results of surgical treatment.

46

Fan, S. X., D. P. Fan, Z. Y. Zhang, and Y. F. Lu. "Modeling and Identification of High Speed High Accuracy Lightweight Stages with Flexible Arms." Key Engineering Materials 499 (January 2012): 247–52. http://dx.doi.org/10.4028/www.scientific.net/kem.499.247.

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Light-weight structures operating at high speeds may suffer from significant vibration problems, thus degrading positioning accuracy and exhibiting large settling time. High-performance vibration and motion controllers are usually designed based on precise dynamic model. This paper addresses the problem of modeling and identification of a high speed high accuracy lightweight positioning stage with flexible arm. A simplified state space model for vibration motion control purpose is given. A separated identification method is proposed. The parameters related to rigid body part and flexible body part are identified, separately. Rigid body dynamics is firstly identified by employing unbiased Least Squares technique. Subsequently, flexible body dynamics is identified by impact test and nonlinear LS technique. The experiment results show that applying proposed identification strategy can get more precise low frequency rigid body dynamic parameters without loss the identification precision of high frequency parameters.

47

Yeh, N. C., U. Kriplani, W. Jiang, J. Kumar, H. F. Fong, D. S. Reed, and C. C. Tsuei. "High-Frequency Vortex Critical Dynamics of Superconducting Amorphous Mo3Si Films." International Journal of Modern Physics B 11, no. 18 (July 20, 1997): 2141–55. http://dx.doi.org/10.1142/s0217979297001106.

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The effects of static disorder on the vortex dynamics of type-II superconductors are investigated by comparing the high-frequency vortex response of superconducting amorphous Mo3Si (a- Mo3Si ) films with that of the high-temperature superconductors. We find that for a- Mo3Si films in the three-dimensional limit, the microwave vortex response near the second-order vortex-solid to vortex-liquid glass transitions is consistent with vortex critical relaxation, in contrast to the diffusion vortex dynamics in high-temperature superconductors at the same frequencies. The observation of microwave vortex critical dynamics in a- Mo3Si is attributed to the extremely disordered nature of the amorphous superconductors, which results in a much shorter-range vortex correlation and therefore a faster critical relaxation.

48

Song, Xiao Hua, and Shao Long Wu. "Based on ANSYS Workbench High Speed Electricity Spindle Dynamics Characteristic Analysis." Applied Mechanics and Materials 385-386 (August 2013): 324–28. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.324.

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This paper describes the inherent characteristics, dynamic response and dynamic stability dynamics of vibration capability that impacts of high-speed electric spindle. Taking the high-speed, high-power electric spindle milling center on as the object of the research, modal analyzing of electric spindle with the finite element software ANSYS Workbench, researching the spindle modes, natural frequencies and critical speed of electric spindle, to get each frequency and vibration type, pointed the affection of what spindle away from the anti-vibration frequency requirements, well before bearing stiffness and damping of the vibration to the spindle system. It provides the necessary basis for further dynamic analysis by modal analysis.

49

Schmitz, Tony L., Matthew A. Davies, and Michael D. Kennedy. "Tool Point Frequency Response Prediction for High-Speed Machining by RCSA." Journal of Manufacturing Science and Engineering 123, no. 4 (January 1, 2001): 700–707. http://dx.doi.org/10.1115/1.1392994.

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The implementation of high-speed machining for the manufacture of discrete parts requires accurate knowledge of the system dynamics. We describe the application of receptance coupling substructure analysis (RCSA) to the analytic prediction of the tool point dynamic response by combining frequency response measurements of individual components through appropriate connections. Experimental verification of the receptance coupling method for various tool geometries (e.g., diameter and length) and holders (HSK 63A collet and shrink fit) is given. Several experimental results are presented to demonstrate the practical applicability of the proposed method for chatter stability prediction in milling.

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Mahmud, Md Rasel, Ahmed F. Abdou, and Hemanshu Pota. "Stability Analysis of Grid-Connected Photovoltaic Systems with Dynamic Phasor Model." Electronics 8, no. 7 (July 2, 2019): 747. http://dx.doi.org/10.3390/electronics8070747.

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The typical layout of power systems is experiencing significant change, due to the high penetration of renewable energy sources (RESs). The ongoing evaluation of power systems is expecting more detailed and accurate mathematical modeling approaches for RESs which are dominated by power electronics. Although modeling techniques based on state–space averaging (SSA) have traditionally been used to mathematically represent the dynamics of power systems, the performance of such a model-based system degrades under high switching frequency. The multi-frequency averaging (MFA)-based higher-index dynamic phasor modeling tool is proposed in this paper, which is entirely new and can provide better estimations of dynamics. Dynamic stability analysis is presented in this paper for the MFA-based higher-index dynamical model of single-stage single-phase (SSSP) grid-connected photovoltaic (PV) systems under different switching frequencies.