The Qualitative Difference Resolution Rule

Conditional Difference Systems

Consolidation is inferring the behavioral description of a device by composing the behavioral descriptions of its components, e.g., deriving the qualitative differential equations (QDEs) of a device from those of its components. In previous work, Dormoy and Raiman described the qualitative resolution rule, which is a general rule for deriving QDEs of combinations of components. However, the qua...

Derivation of conflict resolution rule-curves in multi-purpose multi-reservoir system for inter-basin water transfer during drought

Controlling Qualitative Resolution

We proposed earlier in [Dormoy & Raiman, 19881 a new way of reasoning about a device, we called “Assembling a Device”. Starting from a component description (namely confluences), the qualitative resolution rule provides task-oriented global relations which link the physical quantities involved in a device to some selected reference variables. This rule is complete: given any task to be performe...

Corefrence resolution with deep learning in the Persian Labnguage

Coreference resolution is an advanced issue in natural language processing. Nowadays, due to the extension of social networks, TV channels, news agencies, the Internet, etc. in human life, reading all the contents, analyzing them, and finding a relation between them require time and cost. In the present era, text analysis is performed using various natural language processing techniques, one ...

Qualitative evaluation of filter function in brain SPECT [Persian]

Introduction: Filtering can greatly affect the quality of clinical images. Determining the best filter and the proper degree of smoothing can help to ensure the most accurate diagnosis. Methods: Forty five patient’s data aquired during brain phantom SPECT studies were reconstructed using filtered back-projection technique. The ramp, Shepp-Logan, Cosine, Hamming, Hanning, Butterworth, Metz...