Data handling performing measurements

Dynamic calorimetric measurements were made on 10 mg samples in sealed aluminum pans over the temperature range 50°C to 220°C at 10°C/min using a Mettler thermoanalytical system consisting of a DSC, model 20 and processor, model TC-lOA, which performed the data handling. 

Secondly, rheological measurements can be applied to mimic the way materials are used and so relate to the chemical engineer s actual process. So whilst it may not be possible in practice to perform a measurement that mimics the process it may be possible to transform the data in such a way as to provide an insight into the way the material will behave in such a process. A typical example is encountered in the data handling of many... 

Recently, Neupauer et al. [53] performed a study to compare the TR and the MRE methods. They found that both methods perform well in reconstructing a smooth source function. For an error free step function source history, the MRE performs better than the TR. On the other hand, the TR method is more robust in handling data that contain measurement errors. Neupauer and coworkers used measurement errors of 1%, 5%, and 25%. 

Although data handling normally follows the collection of data in an analysis, it is treated early in the text because a knowledge of statistical analysis will be required as you perform experiments in the laboratory. Also, statistics are necessary to understand the significance of the data that are collected and therefore to set limitations on each step of the analysis. The design of experiments (including size of sample required, accuracy of measurements required, and number of analyses needed) is determined from a proper understanding of what the data will represent. 

Handling the standard, placing the source near the detector, recording data, and processing results all must be meticulous operations because the reliability of all future calculations of activity from count rate depend on the efficiency calibration. Accumulated calibration counts should be sufficiently large to achieve a relative counting uncertainty of 0.01 or less (at least 10,000 counts). To perform measurements in a brief period (such as 1-10 min), the source usually is prepared to yield a relatively intense count rate, but not so intense that the count rate is affected by dead-time losses (see Section 8.2.2) or system contamination becomes a threat. 

To apply fractional factorial designs, the control variables have to be of nominal or ordinal scale or the relations to the performance measures are assumed to be linear. Here, the influence of the number of available trains, the number of working days for RTC handling, and the number of transfer arms is investigated. As status quo, the data provided in example 9 is used Prom Monday to Saturday trains can be dispatched and RTCs can be processed. For each product an equal number of transfer arms is available at both sites according to Table A. 12 in the appendix. As an alternative configuration, the... 

In order to set up a data session between two terminals, some CSCF must be traversed by call session requests and answers. As a consequence, the number of sessions handled by a single CSCF server per time unit is chosen as a performance measure of a signalling network. The problem of meeting typical requirements for a telecommunication network in terms of service availability is faced by adopting parallel redundancy technique for network elements, given a demand profile. 

The Pascal code was updated to handle four channels. To follow the inspection speed all raw measuring data were captured and stored in the computer. All data for one coil could be stored in the computer memory (RAM) and transferred to the disk before inspection of the next coil. Evaluation of the data could be performed on-line or later using a special evaluation program. 

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