Computer acceptability

Computer acceptability Information produced via CAD, CAM, CAE, etc. that may require a password. 

The use of time stages of varying lengths in iterative dynamic programming (Luus, 2000) may indeed provide a computationally acceptable solution. Actually, such an approach may prove to be feasible particularly for model discrimination purposes. In model discrimination we seek the optimal inputs, u(t), that will maximize the overall divergence among r rival models given by Equation 12.23. 

Wu, J. H., S. C. Wang, and L. M. Lin, 2007, Mobile computing acceptance factors in the healthcare industry A structural equation model. International Journal of Medical Informatics 76 (l) 66-77. 

Lubkowski P. Laskowski D. 2014. Test of the multi-media services implementation in information and communication networks. Advances in Intelligent Systems and Computing (accepted for publication), Switzerland Springer International Publishing AG. 

In addition, the mirrors are adjustable, so that unimportant areas can be ignored. Light re-emmited from the surfaee is detected, and the detector signal is transmitted to a computer programmed with acceptable deviation levels for comparison with a reference component. Tolerance levels can vary for different areas of the same test piece they may, for example, be higher on a ground section than on adjacent unmachined areas. 

The computer also can leam from a defect-free test piece by rutming such a piece in a readmode. For example, if a drilled hole for lubrication purposes is present at the same location on all parts, the computer will recognise this signal and accept it on all test pieces. The computer will actually be comparing the test piece under scrutiny with standard non-defect master. In addition a reference test piece should be used to check that the specified reference defects really will be detected. This is needed to adjust the settings and sensitivity of the system. 

Block 5 personal, IBM-a compatible computer, serves for processing and displaying the accepted signals. 

We cannot solve the Schroedinger equation in closed fomi for most systems. We have exact solutions for the energy E and the wave function (1/ for only a few of the simplest systems. In the general case, we must accept approximate solutions. The picture is not bleak, however, because approximate solutions are getting systematically better under the impact of contemporary advances in computer hardware and software. We may anticipate an exciting future in this fast-paced field. 

Once the descriptors have been computed, is necessary to decide which ones will be used. This is usually done by computing correlation coelficients. Correlation coelficients are a measure of how closely two values (descriptor and property) are related to one another by a linear relationship. If a descriptor has a correlation coefficient of 1, it describes the property exactly. A correlation coefficient of zero means the descriptor has no relevance. The descriptors with the largest correlation coefficients are used in the curve fit to create a property prediction equation. There is no rigorous way to determine how large a correlation coefficient is acceptable. 

Organic molecule calculations can be done routinely to good accuracy on workstation-class hardware. It is advisable to examine tabulations of results in order to choose a method with acceptable accuracy and computational time for the property of interest. The trend toward having microcomputer versions of computational chemistry codes is making calculations on small organic molecules even more readily accessible. 

Statistical analysis can range from relatively simple regression analysis to complex input/output and mathematical models. The advent of the computer and its accessibiUty in most companies has broadened the tools a researcher has to manipulate data. However, the results are only as good as the inputs. Most veteran market researchers accept the statistical tools available to them but use the results to implement their judgment rather than uncritically accepting the machine output. 

A recent trend in particle analysis has been the introduction of personal computer-based automation (3). Sophisticated software packages can be used to automate and speed up the analysis. In some cases these computers can even carry out continuous process control (qv) (see Computer technology). The latest machines also allow the measurements of smaller particles and can detect a wider range of sizes. Machines based on light-scattering principles are being more widely accepted by the industry because of speed. An average analysis takes from 1—2 min, whereas those based on sedimentation principles require from 10—120 min. 

Stand-alone computer systems, usually based on a personal computer (PC) or programmable logic controller (PLC), provide a separate computer system for each pilot plant. This allows for economical expansion for new units, separates pilot plants completely for maintenance and troubleshooting, and often has the lowest initial cost. Standardization can be a problem and software control, data gathering, and storage packages can be limited in size, scope, and capabiUty these are usually acceptable trade-offs. 

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