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Relevant bibliographies by topics / Time Flow

Academic literature on the topic 'Time Flow'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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Dissertations / Theses
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Journal articles on the topic "Time Flow"

1

Březková, L., M. Starý, and P. Doležal. "The real-time stochastic flow forecast." Soil and Water Research 5, No. 2 (May 24, 2010): 49–57. http://dx.doi.org/10.17221/13/2009-swr.

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In the Czech Republic, deterministic flow forecasts with the lead time of 48 hours, calculated by rainfall-runoff models for basins of a size of several hundreds to thousands square kilometers, are nowadays a common part of the operational hydrological service. The Czech Hydrometeorological Institute (CHMI) issues daily the discharge forecast for more than one hundred river profiles. However, the causal rainfall is a random process more than a deterministic one, therefore the deterministic discharge forecast based on one precipitation prediction is a significant simplification of the reality. Since important decisions must be done during the floods, it is necessary to take into account the indeterminity of the input meteorological data and to express the uncertainty of the resulting discharge forecast. In the paper, a solution of this problem is proposed. The time series of the input precipitation prediction data have been generated repeatedly (by the Monte Carlo method) and, subsequently, the set of discharge forecasts based on the repeated hydrological model simulations has been obtained and statistically evaluated. The resulting output can be, for example, the range of predicted peak discharges, the peak discharge exceeding curve or the outflow volume exceeding curve. The properties of the proposed generator have been tested with acceptable results on several flood events which occurred over the last years in the upper part of the Dyje catchment (Podhradí closing profile). The rainfall-runoff model HYDROG, which has been in operation in CHMI since 2003, was used for hydrological simulation.

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Barth, Manuela, Armin Raabe, Klaus Arnold, Christian Resagk, and Ronald du Puits. "Flow field detection using acoustic travel time tomography." Meteorologische Zeitschrift 16, no. 4 (August 30, 2007): 443–50. http://dx.doi.org/10.1127/0941-2948/2007/0216.

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Rathinam, Balasundaram. "Rule based heuristic approach for minimizing total flow time in permutation flow shop scheduling." Tehnicki vjesnik - Technical Gazette 22, no. 1 (2015): 25–32. http://dx.doi.org/10.17559/tv-20130704132725.

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Moore, Stephen, and Tim David. "3D Time-Dependent Models of Blood Flow in the Cerebro-vasculature(Cardiovascular flow Simulation)." Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics 2004.1 (2004): 51–52. http://dx.doi.org/10.1299/jsmeapbio.2004.1.51.

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Gowda S.L., Girish, Jayanth Kumar H.V., Anand Kuriyan Mathew, Veeresh G.S., and Cholenahally Nanjappa Manjunath. "Intraoperative Flow Measurement of Saphenous Vein Graft: Transit Time Flowmetry Measurement Versus Free Flow Measurement." Journal of Cardiovascular Medicine and Surgery 5, no. 1 (2019): 11–14. http://dx.doi.org/10.21088/jcms.2454.7123.5119.2.

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Martinetti, Pierre. "Emergence of Time in Quantum Gravity: Is Time Necessarily Flowing?" Kronoscope 13, no. 1 (2013): 67–84. http://dx.doi.org/10.1163/15685241-12341259.

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Abstract We discuss the emergence of time in quantum gravity and ask whether time is always “something that flows.” We first recall that this is indeed the case in both relativity and quantum mechanics, although in very different manners: time flows geometrically in relativity (i.e., as a flow of proper time in the four dimensional space-time), time flows abstractly in quantum mechanics (i.e., as a flow in the space of observables of the system). We then ask the same question in quantum gravity in the light of the thermal time hypothesis of Connes and Rovelli. The latter proposes to answer the question of time in quantum gravity (or at least one of its many aspects) by postulating that time is a state-dependent notion. This means that one is able to make a notion of time as an abstract flow—that we call the thermal time—emerge from the knowledge of both: the algebra of observables of the physical system under investigation; a state of thermal equilibrium of this system. Formally, the thermal time is similar to the abstract flow of time in quantum mechanics, but we show in various examples that it may have a concrete implementation either as a geometrical flow or as a geometrical flow combined with a non-geometric action. This indicates that in quantum gravity, time may well still be “something that flows” at some abstract algebraic level, but this does not necessarily imply that time is always and only “something that flows” at the geometric level.

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Feistauer, Miloslav, Jaromír Horáček, Václav Kučera, and Jaroslava Prokopová. "On numerical solution of compressible flow in time-dependent domains." Mathematica Bohemica 137, no. 1 (2012): 1–16. http://dx.doi.org/10.21136/mb.2012.142782.

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Egger, Joseph. "Time varying flow over mountains: temperature perturbations at the surface." Meteorologische Zeitschrift 18, no. 1 (March 6, 2009): 101–6. http://dx.doi.org/10.1127/0941-2948/2009/352.

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Varganova, Galina. "In the time flow." Scientific and Technical Libraries, no. 1 (January 1, 2016): 102–6. http://dx.doi.org/10.33186/1027-3689-2016-1-102-106.

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Review of the book: Above the Barriers: Russian-U.S. Cooperation in Education and Culture: Professional Experience of V. P. Leonov, Director of Russian Academy of Sciences Library [in Russian] / Comp. by A. S. Krymskaya ; RAS Library. - St. Petersburg, 2013. - 204 p.

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Sharpe, Kevin, and Jonathan Walgate. "The Flow of Time." Philosophy and Theology 13, no. 2 (2001): 311–32. http://dx.doi.org/10.5840/philtheol200113213.

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Dissertations / Theses on the topic "Time Flow"

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Langkau, Katharina. "Flows over time with flow dependent transit times." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968912656.

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Assaf, Hamed. "Real-time flow forecasting." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30815.

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The main objective of this research is to develop techniques for updating deterministic river flow forecasts using feedback of real-time (on-line) flow and snowpack data. To meet this objective, previous updating methods have been reviewed and evaluated and typical error patterns in flow forecasts have been analyzed using standard techniques. In addition, a new criterion based on the coefficient of determination and coefficient of efficiency has been introduced to evaluate systematic errors in flow forecasts. Moreover, lagged linear regression has been suggested as a method for detecting and estimating timing errors. Arising from this initial work, two different updating procedures have been developed. Further work has shown that these two independent procedures can be usefully combined, leading to yet further improvement of forecast. Arising from these methods, two other additional approaches have been formulated, one for correcting timing errors and one for updating snowpack estimation parameters from flow measurements. The first of the updating methods consists of a flow updating model which was developed to update the flow forecasts of the UBC watershed model using the most recent flow measurement. The updating process is achieved using the Kalman filter technique. The performance of the updating model is mainly controlled by the relative values of two parameters of the Kalman filter technique: the measurement variance and the state variance. It is found that the measurement variance is best selected as the square of a percentage of the flow. The updating model has been applied on the Illecillewaet river basin in British Columbia. A significant improvement in flow forecasts has been observed. The second method has been developed to update parameters of an energy budget snowpack model using on-line snowpack measurements. The updating procedure is based on calculating the value of a snowpack parameter that yields a perfect correspondence between measured and calculated snowpacks. The updated value is then used in the snowpack model to enhance its future forecasts with feedback from previous snowpack measurements. The snowmelts generated by the updated snowpack model are then routed to produce flow forecasts. Applying this model on the snowpack measured at Mt. Fidelity in the upper Columbia River Basin in British Columbia showed that both the snowpack forecasts and the flow forecasts generated from these updated snowpack forecasts were greatly improved. Because the above two updating methods operate independently, they can be applied in combination whenever an appropriate measurement is available. The combined use of these two methods to data from the Illecillewaet river basin showed an additional improvement in flow forecasts. As a further development, the snowpack estimation model has been adapted so that a Kalman filter approach can be used to update snowpack estimation parameters from flow measurements. It is finally concluded that flow forecast updating requires the application of several methods, rather than one simple approach, because errors arise from various sources. In addition, updating procedures may prove useful in achieving a better calibration for watershed models.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate

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Liu, Kin-shing. "Improved analysis of flow time scheduling." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B36274379.

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Liu, Kin-shing, and 廖建誠. "Improved analysis of flow time scheduling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B36274379.

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Condrau, Marc Anton. "Time-resolved fluorescence measurement in flow cytometry /." [S.l.] : [s.n.], 1993. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=10267.

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Olsen, Robert. "Time-dependent boundary conditions for multiphase flow." Doctoral thesis, [Trondheim : Norges teknisk-naturvitenskapelige universitet, 2004. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-237.

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Benson, John D. "Transition to a time periodic flow in a through-flow lid-driven cavity." Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/18179.

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Yuh, Sung H. "Time-lapse seismic monitoring of subsurface fluid flow." [College Station, Tex. : Texas A&M University, 2004. http://hdl.handle.net/1969.1/430.

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Chibber, Paramjit. "Overland flow time of concentration on flat terrains." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/1293.

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Time of concentration parameter is defined very loosely in literature and it is calculated rather subjectively in practice (Akan 1986). The situation becomes adverse as the terrain slope approaches zero; because the slope generally appears in the denominator of any formula for time of concentration, this time goes to infinity as the slope goes to zero. The variables affecting this time parameter on flat terrains have been studied through plot scale field experiments. It has been found that the antecedent moisture and rainfall rate control this parameter. Some of the existing time of concentration methods have been compared, and it is found that all the empirical models compared under predict this time parameter. This under prediction can be attributed first to the differing concepts of time of concentration previous researchers have modeled, secondly to the absence of any accounting for the initial moisture content in their respective equations and thirdly to the watersheds where these models have been calibrated. At lower time of concentrations, Izzard-based model predictions show some results close to the observed values. A methodology to determine the plot scale surface undulations has been developed to estimate the depression storage. Regression equations have been derived based upon the experiments to determine the overland flow times on a flat plot of 30 feet length with uniform rainfall intensity. The application of these equations on other lengths cannot be ascertained. Equations for the hydrograph slope on flat terrains have been determined for bare clay and grass plots.

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Nagy, Naya. "The maximum flow problem, a real time approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ55921.pdf.

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Books on the topic "Time Flow"

1

Gitau, Kimani, ed. The flow of time. [Gatundu, Kenya]: Creative Initiative, 2012.

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Antoni, Mazurkiewicz, MONDILEX, and Instytut Slawistyki (Polska Akademia Nauk), eds. Time flow and tenses. Warsaw: Slawistyczny Ośrodek Wydawniczy, 2010.

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3

Arthur, Richard T. W. The Reality of Time Flow. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15948-1.

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4

N, Tiwari S., and United States. National Aeronautics and Space Administration., eds. Interactive real time flow simulations. Norfolk, Va: Old Dominion University Research Foundation, 1990.

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5

Neville, Robert C. Eternity and time's flow. Albany, N.Y: State University of New York Press, 1993.

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6

Depner, Joe S., and Todd C. Rasmussen. Hydrodynamics of Time-Periodic Groundwater Flow. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119133957.

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7

National Institue of Hydrology (India), ed. Time series analysis of spring flow. Roorkee: National Institute of Hydrology, 1994.

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8

L, Vasconcelos Giovani, and Institute for Computer Applications in Science and Engineering., eds. Time-evolving bubbles in two-dimensional stokes flow. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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9

L, Vasconcelos Giovani, and Institute for Computer Applications in Science and Engineering., eds. Time-evolving bubbles in two-dimensional stokes flow. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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Time & money: Using time value analysis in financial planning. 2nd ed. Homewood, Ill: Business One Irwin, 1991.

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Book chapters on the topic "Time Flow"

1

Gass, Saul I., and Carl M. Harris. "Flow time." In Encyclopedia of Operations Research and Management Science, 304. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_355.

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Süssmann, G. "Time Flow." In Natural Sciences and Human Thought, 55–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-78685-3_5.

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McCall, Storrs. "Time Flow." In The Importance of Time, 143–51. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-3362-5_11.

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Chow, Bennett, Peng Lu, and Lei Ni. "Space-time geometry." In Hamilton’s Ricci Flow, 425–60. Providence, Rhode Island: American Mathematical Society, 2006. http://dx.doi.org/10.1090/gsm/077/11.

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Treiber, Martin, and Arne Kesting. "Travel Time Estimation." In Traffic Flow Dynamics, 367–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32460-4_19.

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Ng, Tian Seng. "Power Flow." In Real Time Control Engineering, 101–14. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1509-0_7.

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Becchetti, Luca, Stefano Leonardi, Alberto Marchetti-Spaccamela, and Kirk Pruhs. "Flow Time Minimization." In Encyclopedia of Algorithms, 766–68. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_146.

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Bansal, Nikhil. "Minimum Flow Time." In Encyclopedia of Algorithms, 1312–15. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_235.

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Bansal, Nikhil. "Minimum Flow Time." In Encyclopedia of Algorithms, 1–4. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27848-8_235-2.

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Becchetti, Luca, Stefano Leonardi, Alberto Marchetti-Spaccamela, and Kirk Pruhs. "Flow Time Minimization." In Encyclopedia of Algorithms, 320–22. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30162-4_146.

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Conference papers on the topic "Time Flow"

1

Iwaya, Akiyuki. "Relaxation Time of the Heat Bath and Thermal Conductivity." In FLOW DYNAMICS: The Second International Conference on Flow Dynamics. AIP, 2006. http://dx.doi.org/10.1063/1.2204558.

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Majima, H. "A Generalized Time-Dependent Harmonic Oscillator at Finite Temperature." In FLOW DYNAMICS: The Second International Conference on Flow Dynamics. AIP, 2006. http://dx.doi.org/10.1063/1.2204561.

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Koga, Mayuko. "Time-Resolved SAXS Spectra after Rapidly Mixing Anionic and Cationic Surfactants." In FLOW DYNAMICS: The Second International Conference on Flow Dynamics. AIP, 2006. http://dx.doi.org/10.1063/1.2204525.

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Tanaka, Toshijiro. "Dynamics of a Hogg-Huberman Model with Time Dependent Reevaluation Rates." In FLOW DYNAMICS: The Second International Conference on Flow Dynamics. AIP, 2006. http://dx.doi.org/10.1063/1.2204571.

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Darden, L., L. Villarreal, N. Komerath, L. Darden, L. Villarreal, and N. Komerath. "Time scales of forebody vortex response." In 4th Shear Flow Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-2061.

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Dyre, Jeppe C. "Elastic Models for the Non-Arrhenius Relaxation Time of Glass-Forming Liquids." In FLOW DYNAMICS: The Second International Conference on Flow Dynamics. AIP, 2006. http://dx.doi.org/10.1063/1.2204470.

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Karches, T., and K. Buzas. "Methodology to determine residence time distribution and small scale phenomena in settling tanks." In MULTIPHASE FLOW 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/mpf110101.

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Laguionie, P., A. Crave, P. Bonté, and I. Lefèvre. "Using in-situ radionuclides to model sediment transfer at the flow event time scale." In DEBRIS FLOW 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/deb060121.

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Ravindran, S. "Time-Domain Decomposition Methods for Solving Optimal Flow Control Problems Problems." In 1st Flow Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3281.

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Watanabe, Hiroshi. "Description of Entanglement Dynamics of Flexible Polymers: Self-Consistent Coarse-Graining in Length and Time Scales." In FLOW DYNAMICS: The Second International Conference on Flow Dynamics. AIP, 2006. http://dx.doi.org/10.1063/1.2204523.

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Reports on the topic "Time Flow"

1

Thomas, Douglas S. Flow time innovations:. Gaithersburg, MD: National Institute of Standards and Technology, August 2019. http://dx.doi.org/10.6028/nist.ams.100-25.

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Camus, Ted. Calculating time-to-contact using real-time quantized optical flow. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5609.

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Coombs, David, Martin Herman, Tsai Hong, and Marilyn Nashman. Real-time obstacle avoidance using central flow divergence and peripheral flow. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5605.

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Thornburgh, M. Adobe's Secure Real-Time Media Flow Protocol. RFC Editor, November 2013. http://dx.doi.org/10.17487/rfc7016.

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Bujack, Roxana Barbara. What is Wrong with Time-dependent Flow Topology? Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1378925.

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Matei, Ion, Assane Gueye, and John S. Baras. Flow Control in Time-Varying, Random Supply Chains. Gaithersburg, MD: National Institute of Standards and Technology, January 2013. http://dx.doi.org/10.6028/nist.ir.7907.

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Hawk, C. T., and P. E. Rogers. Y-12 Respirator Flow Cycle Time Reduction Project. Office of Scientific and Technical Information (OSTI), December 2000. http://dx.doi.org/10.2172/774311.

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Brock, N. J., M. S. Chandrasekhara, and L. W. Carr. A Real Time Interferometry System for Unsteady Flow Measurements. Fort Belvoir, VA: Defense Technical Information Center, October 1991. http://dx.doi.org/10.21236/ada244936.

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Thomas, Douglas S., and Anand M. Kandaswamy. Inventory and Flow Time in the US Manufacturing Industry. National Institute of Standards and Technology, December 2015. http://dx.doi.org/10.6028/nist.tn.1890.

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McRae, D. S., and Michael Neaves. Time Accurate Computation of Unsteady Hypersonic Inlet Flows with a Dynamic Flow Adaptive Mesh. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada336232.

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