Estimated-Time-of-Arrival

After the clinical and imaging evaluation suggests the need for lAT, the anesthesia team is contacted and informed of the estimated time of arrival of the patient to the interventional neuroradiology suite. Qualifying patients referred from other... 

Automatic Identification Systems (AIS) were introduced for vessel traffic control and represent a ship-based broadcast system operating in the VHF maritime band. Apart from ship-to-ship and ship-to-shore AIS systems there are airborne AIS transponders that make dynamic vessel information available to airborne surveillance platforms. Examples of information provided by airborne AIS are time, position, heading, course, speed, IMO number, destination, type of cargo and estimated time of arrival. This information is of general interest in airborne maritime surveillance, including search and rescue operation and oil spill monitoring. Especially the GIS integration of AIS information as well as its online visualisation onboard the surveillance aircraft are considered beneficial for oil spill response since it allows the identification of potential polluters. 

Abihty to provide Estimated Time of Arrival (ETA) and send Advanced Shipping Notice (ASN) to customers... 

Same as in level 4, but in addition Estimated Time of Arrival (ETA) is dynamically updated as the route is executed during the day and is sent to customers to ensure right deliver. 

ETA (estimated-time-of-arrival) maintenance Returns from customers (that we had not returned to suppliers)... 

The inspected State Party shall be notified of initial inspections not less than 72 hours in advance of the estimated time of arrival of the inspection team at the point of entry. 

Line fill-rate Percentage of orders shipped complete Availability or coverage (percentage of SKUs with inventory-on-hand) Customer back-order in percentage or dollars ETA (estimated-time-of-arrival) maintenance "Splits" (percentage of SKUs filled from other than nearest warehouse) SKUs with no on-hand and no on-order Dollars Turns "Excess" — inventory above targeted maximums Obsolete — inventory in SKUs that had been discontinued Returns from customers (that we had not returned to suppliers) "Opportunity" — inventory purchased at special prices "Inactive" — inventory that has not moved in a stated period of time... 

The above limit is comparable to or slightly better than that obtainable from the presently best laboratory experiments [29]. How does one evaluate this estimate statistically The weakest link in the argument is I think the dependence of the mapped pulse width on the time of arrival of the lowest energy event 3. The probability that both 3 and 6 (rejected as background) are background events determines the level of confidence in our conclusions. This probability is roughly 5%. Otherwise, one would rely on event 4 (9.5 MeV electron energy) and extract a limit closer to 20 eV for the mass upper bound. 

The time of arrival of the next train on an adjacent line ry is calculated based on the timetable. Based on the train type of this train (speed and emergency braking capability) and the time to warn the approaching train, the time required for this train to stop short of the derailed train is estimated, tj. The arrival time of the next train will follow a distribution to reflect the possibility of late (or early) running. It is not expected that this distribution is symmetrical, but for simplicity a symmetrical triangular distribution is assumed, based around t J but with a half-width C". The probability of a secondary collision is... 

This reduction in information is achieved by a preprocessor, which uses the digital voltages corresponding to an ion peak to estimate the peak area (ion abundance) and centroid (mean arrival time of peak, equivalent to m/z value) these two pieces of information — plus a flag to identify the peak — are stored. 

A variety of arthropods associated with soil beneath a corpse are discussed herein. Many have forensic potential in that they are useful as broad markers for estimating time frames however, in most cases research is scant in relation to their association with cadavers. The presence of many of these invertebrates is recorded for a variety of locations, but the timing of their arrival and departure varies markedly. This maybe attributed to edaphic and climatic factors or simply to the particular species involved at a location. The discussion is centered around each type of organism in a more generalized sense, and variation between geographic localities is inevitable. 

Monte Carlo simulation can involve several methods for using a pseudo-random number generator to simulate random values from the probability distribution of each model input. The conceptually simplest method is the inverse cumulative distribution function (CDF) method, in which each pseudo-random number represents a percentile of the CDF of the model input. The corresponding numerical value of the model input, or fractile, is then sampled and entered into the model for one iteration of the model. For a given model iteration, one random number is sampled in a similar way for all probabilistic inputs to the model. For example, if there are 10 inputs with probability distributions, there will be one random sample drawn from each of the 10 and entered into the model, to produce one estimate of the model output of interest. This process is repeated perhaps hundreds or thousands of times to arrive at many estimates of the model output. These estimates are used to describe an empirical CDF of the model output. From the empirical CDF, any statistic of interest can be inferred, such as a particular fractile, the mean, the variance and so on. However, in practice, the inverse CDF method is just one of several methods used by Monte Carlo simulation software in order to generate samples from model inputs. Others include the composition and the function of random variable methods (e.g. Ang Tang, 1984). However, the details of the random number generation process are typically contained within the chosen Monte Carlo simulation software and thus are not usually chosen by the user. 

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