Specific Data Processing

Thanks to all the enhancements developed in the past decades, confocal Raman spectroscopy is now a technique of choice for the characterization of synthetics membranes [17-19] and chemical heterogeneous systems [20]. 

Raman data collected into spectra contains a lot of information. However, this information is not usually directly available and the data must be processed to get qualitative and quantitative chemical informations. The main fact is that Raman line intensities are proportional to the concentration of chemical components and the Raman line positions are characteristics of the chemical bonding. Nevertheless, some phenomena like undesirable fluorescence, band overlapping, noise and spikes (outlier points) complicate the experimenter s task. 

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Cochran and McNemar test, Krnskal-Wallis test, specific data process to calculate D prime with A/not-A test with sureness ... 

These lab tests were done to gain a specific data base for such a brittle material compared to the normal steels used for the manufacturing of pressure equipments. In any case the application of AE was only possible due to the rapid development of the data processing and the new state-of-the-art equipment where this technique is built in.(3)... 

The explorative analysis of data sets by visual data mining applications takes place in a three-step process During the first step (overview), the user can obtain an overview of the data and maybe can identify some basic relationships between specific data points. In the second step (filtering), dynamic and interactive navigation, selection, and query tools will be used to reorganize and filter the data set. Each interaction by the user will lead to an immediate update of the data scene and will reveal the hidden patterns and relationships. Finally, the patterns or data points can be analyzed in detail with specific detail tools. 

Copper Development Association P.O. Box 1840 Greenwich, Conn. 06836 Standards for wrought and cast copper and copper alloy products a standards handbook is pubUshed with tolerances, alloy data, terminology, engineering data, processing characteristics, sources and specifications cross-indexes for six coppers and 87 copper-based alloys that are recognized as standards. 

The conservation of mass law finds a major application during the performance of pollution-prevention assessments. As described earlier, a pollution-prevention assessment is a systematic, planned procedure with the objective of identifying methods to reduce or ehminate waste. The assessment process should characterize the selected waste streams and processes (Ref. 11)—a necessaiy ingredient if a material balance is to be performed. Some of the data required for the material balance calciilation may be collected during the first review of site-specific data however, in some instances, the information may not be collected until an actual site walk-through is performed. 

Direct-Liquefaction Kinetics All direct-liquefac tion processes consist of three basic steps (1) coal slurrying in a vehicle solvent, (2) coal dissolution under high pressure and temperature, and (3) transfer of hydrogen to the dissolved coal. However, the specific reac tion pathways and associated kinetics are not known in detail. Overall reaction schemes and semiempirical relationships have been generated by the individual process developers, but apphcations are process specific and limited to the range of the specific data bases. More extensive research into liquefaction kinetics has been conducted on the laboratory scale, and these results are discussed below. 

The accuracy of QRA results is also dependent on the analysis resources. Obviously, more complete QRA models can produce more accurate results. But even the best model is worthless if the input data are speculative or erroneous. Fortunately, the scarcity of process-specific data for some applications may not be an insurmountable problem. There exist a few industrywide databases, such as those in Table 2, that... 

Operations The QRA team will need specific data on how the system is actually operated. For example, are the bypass valves normally left open to increase throughput, what happens when the high level alarm sounds, or do operators bypass interlocks to continue production Human actions/errors are usually dominant contributors to the real-world risks, and truthful data on actual process operations are vital to credible QRA results. Expect to commit one full-time equivalent for the life of the project. 

Finally, in this Introduction, it is worthwhile to reproduce one of the several current definitions, in the Oxford English Dictionary, of the word simulate To imitate the conditions or behaviour of (a situation or process) by means of a model, especially for the purpose of study or training specifically, to produce a computer model of (a process) . The Dictionary quotes this early (1958) passage from a text on high-speed data processing A computer can simulate a warehouse, a factory, an oil refinery, or a river system, and if due regard is paid to detail the imitation can be very exact . Clearly, in 1958 the scientific uses of computer simulation were not yet thought worthy of mention, or perhaps the authors did not know about them. 

Commonly, there are components that are not in any database of failure rates, or the data do not apply for the environment or test and maintenance at your plant. In addition, site specific data may be needed for regulatory purposes or for making the plant run safer and better. For both cases there is a need for calculating failure rate data from incident data, and the mechanics of database preparation and processing. 

The nuclear equipment failure rate database has not changed markedly since the RSS and chemical process data contains information for non-chemical process equipment in a more benign environment. Uncertainty in the database results from the statistical sample, heterogeneity, incompleteness, and unrepresentative environment, operation, and maintenance. Some PSA.s use extensive studies of plant-specific data to augment the generic database by Bayesian methods and others do not. No standard guidance is available for when to use which and the improvement in accuracy that is achieved thereby. Improvements in the database and in the treatment of data requires, uhstaiui.il indu.sinal support but it is expensive. 

The standard requires purchasing documents to include, where applicable, the title or other positive identification, and applicable issue of specification, drawings, process requirements, inspection instructions, and other relevant technical data, including requirements for approval or qualification of product, procedures, process equipment, and personnel. 

When using failure rate data for a CPQRA, the ideal situation is to have valid historical data from the identical equipment in the same application. In most cases, plant-specific data are unavailable or may carry a level of confidence that is too low to allow those data to be used without corroborating data. Risk analysts often overcome these problems by using generic failure rate data as surrogates for or supplements to plant-specific data. Because of the uncertainties inherent in risk analysis methodology, generic failure rate data are frequently adequate to identify the major risk contributors in a process or plant. 

The most desirable source of equipment reliability data for a CPQRA is the operating experience of the process and plant being studied. Therefore, a chapter of this book provides information that will help an engineer locate raw plant reliability data and convert them to failure rates. However, the quality and confidenee level of the plant-specific data may be questionable because of operating and maintenance procedures, short relevant operating experience, and limited pieces of equipment available for study. The best data to use in a CPQRA are often a combination of generic and plant-specific data. 

The specification development process is a data-driven activity that requires a validated analytical method. The levels of data needed include assay precision, replicate process results (process precision), and real-time stability profiles. A statistical analysis of these data is critical in setting a realistic specification. Most often, aggregation and fragmentation degradation mechanisms are common to protein and peptide therapeutics. Therefore, the SE-HPLC method provides a critical quality parameter that would need to be controlled by a specification limit. 

The plastics properties catalogue includes single-point data, multi-point data, processing data, product description texts and customer service information. You can select plastic products for your specific application by using the query options. The main feature of the CAMPUS philosophy is comparable data. The properties are based on the international standards ISO 10350 for Single-Point data and ISO 11403-1, -2 for Multi-Point data. CAMPUS is available in English, German, Spanish, French and Japanese. 

Beyond specific polarographic techniques variations of these methods have been developed aiming at simplified and fast evaluation using modified measurement procedures and data processing. Oldham and... 

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