An architecture for real-time inference engines on personal computers

Author(s):  
V. Devedzic ◽  
D. Velasevic
1989 ◽  
Vol 9 (3) ◽  
pp. 136-143 ◽  
Author(s):  
M. Bryce Fifield

The use of personal computers to aid in the administration, scoring, and interpretation of individual psychoeducational tests is growing. Currently computers are used to assist in managing assessment information, scoring and interpreting tests, and administering tests of cognitive abilities, academic skills, adaptive behaviors, and social skills. Although the content validity of assessment instruments developed for computer administration may have certain practical limitations, several useful advantages can be gained by using the computer to administer tests. Some of the advantages include improved levels of standardization in the procedures used during test administration, scoring, and interpretation; the collection of response data in real time; and the development and use of assessment models that were heretofore too complex for human presentation.


2003 ◽  
Vol 51 (6) ◽  
pp. 604-608
Author(s):  
Djurdje Perisic ◽  
Dragoljub Brkic ◽  
Ilija Botic ◽  
Gavrilo Despotovic ◽  
Djordje Perisic

1992 ◽  
Vol 40 (2) ◽  
pp. 395-406 ◽  
Author(s):  
Shigeki Horiuchi ◽  
Toru Matsuzawa ◽  
Akira Hasegawa

1990 ◽  
Vol 8 (3) ◽  
pp. 426-430 ◽  
Author(s):  
Douglas K. Symons ◽  
Heather M. Acton ◽  
Greg Moran

2019 ◽  
Vol 5 (3) ◽  
pp. eaav6019 ◽  
Author(s):  
Abouzar Kaboudian ◽  
Elizabeth M. Cherry ◽  
Flavio H. Fenton

Cardiac dynamics modeling has been useful for studying and treating arrhythmias. However, it is a multiscale problem requiring the solution of billions of differential equations describing the complex electrophysiology of interconnected cells. Therefore, large-scale cardiac modeling has been limited to groups with access to supercomputers and clusters. Many areas of computational science face similar problems where computational costs are too high for personal computers so that supercomputers or clusters currently are necessary. Here, we introduce a new approach that makes high-performance simulation of cardiac dynamics and other large-scale systems like fluid flow and crystal growth accessible to virtually anyone with a modest computer. For cardiac dynamics, this approach will allow not only scientists and students but also physicians to use physiologically accurate modeling and simulation tools that are interactive in real time, thereby making diagnostics, research, and education available to a broader audience and pushing the boundaries of cardiac science.


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