Michael M. Marefat

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Machine interpretation of the shape of a component for CAD databases is an important problem in CAD/CAM, computer vision, and intelligent manufacturing. It can be used in CAD/CAM for evaluation of designs, in computer vision for machine recognition and machine inspection of objects, and in intelligent manufacturing for automating and integrating the link(More)
It has been found that the sensor nodes dissipate a significant proportion of their energy in redundant sensing and idle listening. The former occurs when multiple sensor nodes perform their sensing activity in the same region. The latter occurs when sensor nodes have their radios switched on awaiting incoming communication from other sensor nodes, but none(More)
We have developed a domain-independent systematic methodology for plan merging at the various levels of plan abstraction. This method manifests itself in the hierarchical plan graph where each level contains a complete, partially merged plan. The principle advantage of this approach is that, once external interactions between nodes on a given level have(More)
— Spatial quantization error and displacement error are inherent in automated visual inspection systems. This paper discusses the effect of spatial quantization errors and displacement errors on the precision dimensional measurements for an edge segment. Probabilistic analysis in terms of the resolution of the image is developed for two-dimensional (2-D)(More)
This paper proposes interval constraint networks and interval propagation techniques for automatic tolerance design. To develop an intelligent automatic tolerance design mechanism, the following interrelated problems are addressed: ~1! representing the relationships between the tolerances of the entities, attributes, and the functional requirements of a(More)