Identification criterion

Here the hazard identification criterion is the point at which the rate of temperature rise exceeds a specified value, or ... 

Another hazard identification criterion is the use of the second derivative of the temperature, that is ... 

The hazard identification criterion defined here is a second derivative involving the rate of heat evolution as ... 

In general, hazard identification criterion represents the deviation of one or more measured variables from specified values. This is the basis upon which a significant percentage of risk analyses are done. For a chemical process, a number of measurable variables, physical properties, and states or positions of various parts of the overall equipment, e.g., pumps, valves, and motors, can be specified for every time or phase of the process. Certain deviations from the "standard" recipe or settings can then be defined in advance as hazardous, and thus can be used for initiation of an alarm at the early stage of a runaway or upset condition. 

Analytical Methods and Identification of Asbestos Fibers In a general way, the identification of asbestos fibers can be performed through morphological examination, together with specific analytical methods to obtain the mineral composition and/or structure. Morphological characterization in itself usually does not constitute a reliable identification criterion. Hence, microscopic examination methods and other analytical approaches are usually combined,... 

This approach (Sphon 1978) is valuable and scientifically vahd in that it uses an approach of exclusion of possibUities without claiming to achieve a positive identification. The three-ion criterion was also extended (Li 1996) to LC-ESl-MS/MS methods at least two and preferably three precursor-product ion pairs were used to replace the three-ion MS (SIM) criterion appropriate for GC-BI-MS, with relative abundance criteria for the monitored ion abundances of 20 %. Moreover, in this case (Li 1996) the LC retention time was exphcitly included as an identification criterion, with an acceptance window of 2 %. Quite apart from its contribution to the issue of qualitative identification, this work (Li... 

With few exceptions e.g. 36) reliable CD spectra have not been obtained in the visible region. Although a theoretical interpretation of carotenoid CD spectra has been lacking, the method is indispensable for studies of absolute configuration on an empirical basis and requires only microgram samples. Even when considered merely as an identification criterion CD will gain increasing importance (2, 5, 765). In special cases the CD spectrum may reduce several structural alternatives to a minimum (25, 43). 

An identification criterion is a criterion that defines under what circumstances learning is successful in identifying the intended concept (that is, in producing a hypothesis that is correct wit the intended concept). There are two main identification criteria. 

Many other identification criteria have been defined. An identification type is the class of all the sets of hypotheses that are identifiable according to some given identification criterion. A wealth of learnability results order the identification types by set-inclusion into a partially-ordered set. Example presentation has a major impact on these results. Positive presentation seems to be afflicted with negative results for identification-in-the-limit. 

The final identification criterion is chosen according to the characteristics of both GC-MS and GC-FID, which must compliment each other perfectly. An additional comment concerns the quantitative agreement between the two columns. Unfortunately, this parameter cannot be used for substances occurring in trace concentrations or in cases where two or more substances are overlapping on the column used. 

In many cases, the methods used to solve identification problems are based on an iterative minimization of some performance criterion measuring the dissimilarity between the experimental and the synthetic data (generated by the current estimate of the direct model). In our case, direct quantitative comparison of two Bscan images at the pixels level is a very difficult task and involves the solution of a very difficult optimization problem, which can be also ill-behaved. Moreover, it would lead to a tremendous amount of computational burden. Segmented Bscan images may be used as concentrated representations of the useful... 

Figure 2 Schematic flow chart of the OSD parameters identification method Our specific dissimilarity criterion is defined as ...

In addition to the use of a melting point determination as a criterion of purity, an equally valuable application is for the identification of oiganic compounds. If the melting point is known within one degree, the major proportion of possible substances is immediately eliminated from consideration. The study of the general chemical properties of the compound and a mixed melting point determination (Section 1,17) will largely establish the identity of the compound. 

Kenner, m, connoisseur, expert, professional, Kenn-grdsse,/. characteristic quantity, -linie, /. characteristic line, characteristic, graph, curve. -Unienknick, m. break or knee in a characteristic or graph, -marke,/. identification mark, -merkmal, n. characteristic criterion, -nummer, /. identification number. 

Table 2.3 is used to classify the differing systems of equations, encountered in chemical reactor applications and the normal method of parameter identification. As shown, the optimal values of the system parameters can be estimated using a suitable error criterion, such as the methods of least squares, maximum likelihood or probability density function. 

The most common supervision parameter is temperature, but pressure is a possible choice as well. Several other variables, such as level, pH, or physical property changes, can also be chosen since they are easily measurable, but these characteristics are usually important for purposes other than identification of thermal hazards. The temperature criterion method depends strongly on the knowledge of the process and is, therefore, generally not suitable for detection of unexpected dangers. 

Treshow has developed the thesis that foliar injury is a useful criterion in the identification and analysis of air pollution effects on vegetation and presented some basic concepts for use in field evaluation. 

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