نتایج جستجو برای: interval measurement
تعداد نتایج: 627129 فیلتر نتایج به سال:
− The paper reviews and discusses two strategies of digital measurements: measurement in a point and measurement over an interval. The first strategy, widely employed, has represented the backbone in measurement evolution and has become a standard method. For high accuracy measurements, it presents demanding requirements on technology regarding processing of measured signals. The second strateg...
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According to different regions, conditions and requirements, the cross-fault measurement specifications is allowed measure at resurvey periods, resulted in unequal interval observation data. The data a common phenomenon data, difference on both sides of fault observed by geological investigation, historical record, artificial observation, simulated digital sampling, encrypted before after event...
The evaluation of every electrocardiogram should also include an effort to interpret the QT interval to assess the risk of malignant arrhythmias and sudden death associated with an aberrant QT interval. The QT interval is measured from the beginning of the QRS complex to the end of the T-wave, and should be corrected for heart rate to enable comparison with reference values. However, the correc...
The existing image and data compression techniques try to minimize the mean square deviation between the original data f(x, y, z) and the compressed-decompressed data f̃(x, y, z). In many practical situations, reconstruction that only guaranteed mean square error over the data set is unacceptable. For example, if we use the meteorological data to plan a best trajectory for a plane, then what we ...
Aprolonged QT interval signifies a delay in the ventricular repolarisation phase, which renders the heart vulnerable to malignant arrhythmias such as torsade de pointes ventricular tachycardia. This sign of disease is sometimes subtle and may avoid recognition unless meticulously sought. In this issue of Heart, Malik and colleagues draw attention to methodological difficulties in the measuremen...
It is very necessary to consider the uncertainty in the data and how to deal with it when performance measurement using data envelopment analysis. Because a little deviation in the data can lead to a significant change in the performance results. However, in the real world and in many cases, the data is uncertain. Interval data envelopment analysis is one of the most widely used approaches to d...
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