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Visual selection system

A visual selection system A visual identification enables the selection of transformed cells, such as Gus, lacZ (p-galactosidase), luc and lux (luciferase, firefly Photinus pyralis, and Vibrio harveyi, respectively), gfp (jellyfish Aequo-rea victoria), and AtMYB12 (the transcriptional activator in Arabidopsis thali-ana that is indispensable for the biosynthesis of fiavonols). [Pg.402]

H.C. Garcia, J.R. Villalobos, G.C. Runger, An automated feature selection method for visual inspection systems. IEEE Trans. Autom. Sci. Eng. 3(4), 394-406 (2006)... [Pg.46]

Define defects carefully With an understanding of the selected system s capability, carefully define the defects that must be detected for product quality and reliability. Many of the visual inspection criteria used in the past are not appropriate for automated inspection systems because the system takes objective and different measurements. [Pg.1266]

Templates for each of the joint configurations are stored within the system. The operator selects one of the templates, and is provided with a visual representation, as shown in Figure 3, on which he can alter the Joint dimensions and weld geometry to match those of the item to be examined any ae-cess restrictions can also be defined. Using information from a database of available probes, along with the examination level required, ProcGen then calculates the set of scans required (see Figure 4). [Pg.767]

Among the current (ca 1997) selection of software systems which together help to exemplify the promise of computer graphics. Advanced Visualization Systems (AVS), stands out as one of the more extensible and practical of them to use. The premise behind development of the system was to provide modelers with a toolkit of modules having sophisticated intrinsics that would enable even casual programmers to link together multiple simple functionahties into a complex constmct with which to accomplish exactly the types of visualization and manipulations that their work required. Researchers... [Pg.160]

Eor the selective pre-concentration of deactivated phenols a new silica-based material with the grafted 2,3,5-triphenyltetrazole was proposed. This method is based on the formation of molecular chai ge-transfer comlexes of 2,3,5-triphenyltetrazole (7t-acceptor) with picric acid (7t-donor) in the phase of the sorbent. Proposed SPE is suitable for HPEC analysis of nitrophenols after their desorption by acetonitrile. Test-system for visual monitoring of polynitrophenols under their maximum concentration limits was developed using the proposed adsorbent. [Pg.254]

The selection of column characteristics is determined by solvent resistance, the need to visually inspect the bed, the pressure rating of the system, and the dimensions [column inner diameter (i.d.) and length (L)] required from productivity considerations. Productivity considerations will vary if the requirement is based on the amount of information per unit time (analytical gel filtration) or the amount of substance per unit time (preparative gel filtration). [Pg.61]

Figure 27.3 Once the data are transformed into CDISC standards and integrated with a drug safety analysis system, the data can be easily analyzed. In this figure we show a sample screen from WebSDM a drug safety analysis system being evaluated by the FDA. This screen allows the user to view different attributes of the variables in a user-specified data set. When a variable is selected, a graphical display of the data is produced on the right-hand side of the window. The user can then select to visualize a graphical display of the individual patient profiles under the variable in a different window. Figure 27.3 Once the data are transformed into CDISC standards and integrated with a drug safety analysis system, the data can be easily analyzed. In this figure we show a sample screen from WebSDM a drug safety analysis system being evaluated by the FDA. This screen allows the user to view different attributes of the variables in a user-specified data set. When a variable is selected, a graphical display of the data is produced on the right-hand side of the window. The user can then select to visualize a graphical display of the individual patient profiles under the variable in a different window.
Although the EFG of a given system can be easily determined from a Mossbauer spectrum, it may be rather difficult to relate it to the electronic structure of the Mossbauer atom. In order to visualize a few typical cases, the computation of the EFG is described in the following for some selected charge distributions. A comprehensive quantum chemical interpretation of the quadrupole sphtting will be given in Chap. 5. [Pg.95]

In addition to the system controlling and data processing NMR software, a huge variety of third party software is available for any type of NMR imaging analysis and visualization. The following list is a selection of some of the commercially available software and software that is free, which can import NMR data in different formats. [Pg.62]


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