Error handling

Singapore) was obtained for estimates Vmax and Km of free lipase reaction and and K p and for immobilised lipase reaction. Hanes-Woolf and Simplex methods were used for the evaluation of kinetic parameters owing to their strength in error handling when experimental data are subject to random errors.5... 

Normally, the sample handling errors are higher than those due to the mass spectrometer and thus make up the greater part of the final error. Handling errors can be numerous, such as the error in measuring a sample volume and the error in the introduction into the spectrometer. 

Secondary functions (error handling, monitoring, data integrity checks)... 

Operational Safety failsafe mechanisms, error handling, database integrity, operator timeouts, fault tolerance, watchdogs, contingency plans, internal and legislative safety compliance... 

The outcome of the Source Code Review will be a report providing an overview of the review, together with a list of all observations noted and all actions that must be completed. Specific statements on software structure, programming practice, GMP-related functionality, information transfer with other portions of the system or other systems, error handling, redundant code, version control, and change control should be made before an overall conclusion on the suitability and maintainability of the software is drawn. A copy of annotated software listings should be retained with the report. 

Error Handling and Recovery (Guidewords Messages, Alarms)... 

Yb = Enables the extended error handling at run time /FsCon = Produces a source code listing on the screen... 

The video transmission tool is able to adapt to available capacities of the network by changing the video codec and/or the compression ratio before sending the data [304]. As shown in Fig. 3.45, this approach uses the Real-Time Transmission Protocol RTP for a connectionless data transmission without error handling. RTP also provides a control protocol named RTCP, by which the receiving party can give feedback information about the received data and the error ratio. The sending party uses this feedback information to... 

The role of the agents is restricted to error handling and does not involve error detection. In contrast to the attempt to realize alarm correlation only with mobile agents, this implementation shows much better scalability. Unfortunately, an automated reaction to identified problems often is not that easy to realize, as it usually needs a system administrator to react (e.g. in case of hardware failure). Thus, for some faults, the correlation service only sends a notification to the administrators. 

One natural question is whether merge can be fully automatic. Based on these systems, it would appear that it cannot. Even with the limited problems that the above systems address, most of them require user intervention or error handling even though most do not consider either constraints or ordering. 

Standard error handling informs the user of problems in a consistent manner regardless of the underlying software tools in use. 

Spreadsheets are well-recognized for their near-immediate response to changes in their input parameters, for their ease in making graphs, for their open format and intuitive layout, and for their forgiving error-handling. For these reasons they are usually considered to be the most easily learned computer tools for numerical data analysis. Moreover, they are widely available, as they are often bundled with standard word processors. 

The correct application of filters is central to the success of a TS-PFR experiment since it is the slopes obtained by this filtering that are the rates of the reaction. It would be less than wise to apply outdated or inappropriate methods of error handling to data obtained by a new technique that offers so much promise and such different data. 

There are several forms of validity measures assessing cluster cohesion or compactness via intracluster variance. The most popular representative of this approach is the variance of the sum-of-squared errors (Handl et al., 2005). A number of alternatives include measuring intracluster homogeneity via either the similarities between pairwise objects within a cluster or the centroid-based similarities (Handl et al., 2005). Table 5.2 provides detailed description for some well-known intracluster measures. Cluster separation can be quantified by the dissimilarity measme between two clusters. Similarly, the dissimilarity can be evaluated by the intercluster distance. The intereluster distance can be computed as the distance between cluster centroids, or as the average weighted intercluster distances, or as the minimum/maximum distances between objects in different clusters (similar to distance calculations previously described for cluster analysis). Table 5.3 lists the most commonly used intereluster measures. 

Offer simple error handling such that, to the extent possible, the user is unable to make a mistake. Even when mistakes are made, the user should not have to, for example, retype an entire command entry line. Instead, the user should be able to just edit the portion that is incorrect. 

Error handling and protocol communication errors must be recognised and erroneous data retransmitted. Slaves which are not working properly or which have broken down must be detected and deactivated to keep the mean time between failures as low as possible. These are only two examples from a long list of possible errors which are detected and, if possible, corrected during normal operation. Therefore, a slave break down does not cause any fatal situation. There is only one consequence the performance decreases by a certain percentage, e.g., for a machine equipped with 15 slaves about 7 per cent. 

Error handling was very similar across partitions. There is scope for a standard library to be developed that could be tuned using configuration tables. 

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