Manufacturing industry is facing an enormous challenge today in trying to integrate a wide range of software systems. These systems span the functional areas of manufacturing, as well as, the multitude of organizations and countries involved in the manufacture of their products. To address these needs (and similar needs in other industries) a number of organizations are defining standards that ...

A new contour extraction method is described in this paper. It is based on organization of the image data using perceptual grouping rules. and is therefore largely domain independent. The first step is to form an intermediate line segment representation of the contours by grouping edge points in paraBe and at different re~so~ution.s, The main feature of the hne .segn~ent extra~ti[~n process is ...

We present an algorithm for local word grouping to extricate fixed word order dependencies in Hindi sentences. Local word grouping is achieved by defining regular expressions for the word groups. Ambiguities occurring during word grouping are also resolved. Hindi being a free order language, fixed order word group extraction is essential for decreasing the load on the free word order parser. Th...

This paper presents a novel grouping method for lithium iron phosphate batteries. In this method, a simplified electrochemical impedance spectroscopy (EIS) model is utilized to describe the battery characteristics. Dynamic stress test (DST) and fractional joint Kalman filter (FJKF) are used to extract battery model parameters. In order to realize equal-number grouping of batteries, a new modifi...

This paper presents an application of perceptual grouping rules for content-based image retrieval. The semantic interrelationships between different primitive image features are exploited by perceptual grouping to detect the presence of manmade structures. A methodology based on these principles in a Bayesian framework for the retrieval of building images, and the results obtained are presented...

In this paper, a data-driven approach to statistical modeling pronunciation variation is proposed. It consists of learning stochastic pronunciation rules. The proposed method jointly models different rules that define the same transformation. Hierarchic Grouping Rule Inference (HIEGRI) algorithm is proposed to generate this model based on graphs. HIEGRI algorithm detects the common patterns of ...