The fine time of the year increases Petrarch's sorrow

1962 ◽  
Keyword(s):  
Fine Time

High Resolution Measurements of Pollution Wash-Off from an Asphalt Surface

1992 ◽  
Vol 23 (4) ◽  
pp. 245-256 ◽  
Author(s):  
Å. Spångberg ◽  
J. Niemczynowicz
Keyword(s):  
Water Quality ◽  
High Resolution ◽  
Time Resolution ◽  
Quality Data ◽  
Rainfall Runoff ◽  
Water Quality Data ◽  
Urban Catchment ◽  
Complex Process ◽  
Surface Measurements ◽  
Fine Time

The paper describes a measurement project aiming at delivering water quality data with the very fine time resolution necessary to discover deterministic elements of the complex process of pollution wash-off from an urban surface. Measurements of rainfall, runoff, turbidity, pH, conductivity and temperature with 10 sec time resolution were performed on a simple urban catchment, i.e. a single impermeable 270 m2 surface drained by one inlet. The paper presents data collection and some preliminary results.

Fine time tracking from coarse timing estimation in OFDM systems

2009 ◽  
Author(s):  
Adan Toril-Cabrera ◽  
Eduardo Martos-Naya ◽  
F. Javier Lopez-Martinez ◽  
J. Tomas Entrambasaguas
Keyword(s):  
Ofdm Systems ◽  
Timing Estimation ◽  
Fine Time

scholarly journals A Fine Time for Monetary Policy?

1995 ◽  
Vol 19 (1) ◽  
Author(s):  
David E. Runkle ◽  
John F. Geweke
Keyword(s):  
Monetary Policy ◽  
Fine Time

scholarly journals A separated representation involving multiple time scales within the Proper Generalized Decomposition framework

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Angelo Pasquale ◽  
Amine Ammar ◽  
Antonio Falcó ◽  
Simona Perotto ◽  
Elías Cueto ◽  
...  
Keyword(s):  
Time Scales ◽  
Time Discretization ◽  
Multiple Time Scales ◽  
Multiple Time ◽  
Proper Generalized Decomposition ◽  
Partial Differential ◽  
Time Coordinate ◽  
Separated Representation ◽  
The Time Domain ◽  
Fine Time

AbstractSolutions of partial differential equations can exhibit multiple time scales. Standard discretization techniques are constrained to capture the finest scale to accurately predict the response of the system. In this paper, we provide an alternative route to circumvent prohibitive meshes arising from the necessity of capturing fine-scale behaviors. The proposed methodology is based on a time-separated representation within the standard Proper Generalized Decomposition, where the time coordinate is transformed into a multi-dimensional time through new separated coordinates, each representing one scale, while continuity is ensured in the scale coupling. For instance, when considering two different time scales, the governing Partial Differential Equation is commuted into a nonlinear system that iterates between the so-called microtime and macrotime, so that the time coordinate can be viewed as a 2D time. The macroscale effects are taken into account by means of a finite element-based macro-discretization, whereas the microscale effects are handled with unidimensional parent spaces that are replicated throughout the time domain. The resulting separated representation allows us a very fine time discretization without impacting the computational efficiency. The proposed formulation is explored and numerically verified on thermal and elastodynamic problems.

scholarly journals Conditional Bias Robust Estimation of the Total of Curve Data by Sampling in a Finite Population: An Illustration on Electricity Load Curves

2019 ◽  
Vol 8 (3) ◽  
pp. 453-482
Author(s):  
Hervé Cardot ◽  
Anne De Moliner ◽  
Camelia Goga
Keyword(s):  
Finite Population ◽  
Electricity Consumption ◽  
Robust Estimators ◽  
Total Consumption ◽  
Error Estimators ◽  
Functional Methods ◽  
Electricity Load ◽  
Fine Time ◽  
Grid Management ◽  
Consumption Curve

Abstract For marketing or power grid management purposes, many studies based on the analysis of total electricity consumption curves of groups of customers are now carried out by electricity companies. Aggregated totals or mean load curves are estimated using individual curves measured at fine time grid and collected according to some sampling design. Due to the skewness of the distribution of electricity consumptions, these samples often contain outlying curves which may have an important impact on the usual estimation procedures. We introduce several robust estimators of the total consumption curve which are not sensitive to such outlying curves. These estimators are based on the conditional bias approach and robust functional methods. We also derive mean square error estimators of these robust estimators, and finally, we evaluate and compare the performance of the suggested estimators on Irish electricity data.

scholarly journals On the High‐Energy Spectral Component and Fine Time Structure of Terrestrial Gamma Ray Flashes

2019 ◽  
Vol 124 (14) ◽  
pp. 7484-7497 ◽  
Author(s):  
M. Marisaldi ◽  
M. Galli ◽  
C. Labanti ◽  
N. Østgaard ◽  
D. Sarria ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Spectral Component ◽  
High Energy ◽  
Time Structure ◽  
Fine Time

scholarly journals GAMMA RAY BURSTS AND PARTICLE PHYSICS

1995 ◽  
Vol 10 (38) ◽  
pp. 2897-2913
Author(s):  
DAVID B. CLINE
Keyword(s):  
Black Hole ◽  
Particle Physics ◽  
Gamma Ray ◽  
High Energy ◽  
Gamma Ray Bursts ◽  
Primordial Black Hole ◽  
Black Hole Evaporation ◽  
Very High Energy ◽  
Fine Time ◽  
Made In

We provide a brief review of the current situation concerning gamma ray bursts, with emphasis on the role that particle physics may play in the interesting phenomena. The current understanding of GRB origins allows for a large range of physical processes from primordial black hole evaporation to neutron star and black hole collisions. There does not seem to be a simple standard luminosity function and the burst times range from ms to 1000 s of seconds five orders of magnitude. It is likely that some type of fireball model is needed to explain the GRBs. No counterparts of GRB have been detected. We indicate some ways in which progress can be made in either the study of the fine time structure (~μs) or the detection of very high energy photons (>100 GeV to >100 TeV). We also indicate how a small but unique class of the GRB could come from primordial black hole evaporation.

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