Uncertainty code

When the gel readings are read in the program calculates their most likely version—i.e. it replaces all of the uncertainty codes by their most likely nucleotide assignments, so as to avoid missing possible overlaps. If an overlap is found the display is headed by the name of the contig involved. 

SCAN gives a printout or summary of the quality of the data in a contig. The quality of the data depends on the number of times it has been sequenced and the particular uncertainty codes used in each gel reading. It divides the data into five categories and the quality codes are described below ... 

ASME, Performance Test Code on Test Uncertainty ... 

This test code specifies procedures for evaiuation of uncertainties in individuai test measurements, arising from both random errors and systematic errors, and for the propagation of random and systematic uncertainties... 

Meetings should be held with all parties concerned as to how the test will be conducted and an uncertainty analysis should be performed prior to the test. The overall test uncertainty will vary because of the differences in the scope of supply, fuel(s) used, and driven equipment characteristics. The code establishes a limit for the uncertainty of each measurement required the overall uncertainty is then calculated in accordance with the procedures defined in the code and by ASME PTC 19.1. 

The ASME, Performance Test Code on Test Uncertainty Instruments and Apparatus PTC 19.1 specifies procedures for evaluation of uncertainties in individual test measurements, arising form both random errors and... 

The PTC 22 establishes a limit of uncertainty of each measurement required the overall uncertainty must then be calculated in accordance with the procedures defined in ASME PTC 19.1 Measurement Uncertainty. The code requires that the typical uncertainties be within a 1.1% for the Power Output, and 0.9% in the heat rate calculations. It is very important that the post-test uncertainty analysis should be also performed to assure the parties that the actual test has met the requirement of the code. 

The instrumentation will be calibrated as per the requirements of the test codes. All the instrumentation must be calibrated before a test and certified that they meet the code requirements. The ASME PTC 19 series outlines the governing requirements of all instrumentation for an ASME Performance Test to be within the governing band of uncertainty. 

The PSA Procedures Guide classifies the codes according to whether th rform qualitative, quantitative, uncertainty, or dependency analysis (Tables 3.6-1, 3.6-2, 3.6-3, and 3.6-4 respectively). Such classification is not rigid, and some codes in one category will perform in another. An example is SETS which will perform the most complex analy... 

The disk contains over 120 models in files that may contain source and executable code, sample input lilcs, other data files, sample output files, and in many cases, model documentation in WordPerfect, ASCII text or other formats. The disk contains IMES with information on >clecting tin appropriate model, literature citations on validation of models in actual applications, and a demonstration of a model uncertainty protocol. 

The uncertainty calculation of IRRAS 2.0 was compared with the results of LHS (Inian, 1 1811 TEMAf (Iman, 1986), and an in-house code. 

Fault tree or equivalent analysis is key to PSA. Small logical structures may be evaluated by hand using the iciples of Chapter 2 but at some point computer support eeded. Even for simple structures, uncertainty analysis VIonte Carlo methods requires a computer. However, t of the codes are proprietary or a fee is charged for their... 

Computerized Aggregate of Reliability Parameters (CARP) A computer code developed by SAIC to aggregate data sets into a single generic set determine uncertainty bounds (5th and 95th percentiles) fit raw data to statistical distributions and print reports documenting determinations made. 

The user can find suitable materials in a number of different ways. For instance any of the above measurands can be chosen and a search made within a specific matrix type. A list of the measurand values in all materials of the selected matrix classification sorted by decreasing concentration will be produced, including the uncertainties in percent, the certification status and the material identification code. Other search methods are possible, selection by material gives a table with values of all measurands in the chosen material in alphabetical order and additional information about the price, the unit size, the issuing date, the supphers and the exact material name. A further option is to list all materials from a producer. 

The uncertainty in the predicted CHF of rod bundles depends on the combined performance of the subchannel code and the CHF correlation. Their sensitivities to various physical parameters or models, such as void fraction, turbulent mixing, etc., are complementary to each other. Therefore, in a comparison of the accuracy of the predictions from various rod bundle CHF correlations, they should be calculated by using their respective, accompanied computer codes.The word accompanied here means the particular code used in developing the particular CHF correlation of the rod bundle. To determine the individual uncertainties of the code or the correlation, both the subchannel code and the CHF correlation should be validated separately by experiments. For example, the subchannel code THINC II was validated in rod bundles (Weismanet al., 1968), while the W-3 CHF correlation was validated in round tubes (Tong, 1967a). 

Chemical considered Media considered Spatial variation Source code availability Model availability Dynamic or steady-state Availability for sensitivity and uncertainty analyses... 

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