An Algorithm for an Intelligent Arabic Computer Terminal

Article Abstract:

The writing of Arabic text is more complicated than writing English text. A letter can have up to four shapes depending on its position in a word. A method of having the terminal rather than the operator determine the shape of a letter is presented. The algorithm uses letter subsets in conjunction with position to determine shape. Use of the algorithm can decrease the number of keys needed and increase the number of symbols and keying speed. The method can be extended to other terminals of the same language family.

Alphabets, Artificial intelligence, Computer terminals, Intelligent Terminals, Computer Terminal, Population Groups, Character Sets, Character sets (Computing), Non-Roman Alphabets

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An Adaptive FCV Clustering Algorithm

Article Abstract:

Typical clustering algorithms assume a shape and find a best fit of data for that shape. One modification seeks out cluster shapes based on structures encountered in the data. The algorithm proposed seeks out mixtures of clusters of differing shapes. It adapts to the structures encountered during computation. Several different shapes may be detected in data clusters.

Shape

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Trace Element Distribution in Yeast and Wort Samples: An Application of the FCV Clustering Algorithm

Article Abstract:

Certain trace elements are necessary to obtain optimal fermentation rates by brewer's yeast. Worts provide the trace elements needed in the fermentation process. Cluster analysis of trace element data from yeast samples was performed to determine optimal levels. Fluctuations occur more rapidly in worts than in yeast samples.

Quality control, Manufacturing

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