In conceptual design, behavior information often plays a pivotal role in mapping from function to structure. Behavioral process is a detailed description of a number of linked sub-level behaviors, which characterize the process of an overall behavior. To understand this process, as well as to provide assistance to designers for design synthesis, it is necessary to construct an appropriate behavioral process model, for which two aspects of design information need to be identified first. One is the characteristics of behavior itself, and the other is the relations between individual behaviors. In this paper, the characteristics of behavior are clarified and the relations of behaviors such as loop relation, temporal relation and state relation together with causal relation are identified. Based on the existing Causal Behavioral Process (CBP) model, an extended CBP (E-CBP) model is proposed by adding these new behavioral characteristics and relations. An Extended Backus-Naur Form (EBNF) representation method is also proposed to represent the E-CBP model. An electric nailing device design case and a lever-clamp assembly system design cases are illustrated to demonstrate the usefulness and applicability of the E-CBP model as well as its representation method.
In this paper, a method of data removal from images and then reconstruction of those images has been discussed. Images are reconstructed using B-Spline based interpolation of their Gray intensities and detailed qualitative and quantitative analysis has been carried out. The original and regenerated images are compared to generate graphical error profiles. Two techniques of B-Spline interpolation have been used. Error produced by both has been compared on the basis of parameters like mean error, standard deviation and variance. The same method is used for color data and the reconstruction results were impressive even at 2% of the original data. Apart from data-compression, this method can be used to regenerate images of good quality from low quality images and archived images which have deteriorated over time.
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