Cursive script has many ambiguities. Feature extraction, by locating some specific characteristics of a writing sample in isolation or in combination with other features, can minimise the effect of these ambiguities. There are many features that can be extracted from any given sample. Information about the expected vertical letter position within the word, the zoning information, is envisaged t...

The observations of hour-glass sector zoning from four selected clinopyroxenes in undersaturated lavas best fit a model in which the sector zoning is formed due to a structural requirement in a growth direction normal to {IOO} where a high concentration of silicate units, required to build the silicate chains, is unsatisfied. In these sectors AI substitutes for Si, the charge balance being main...

Urban planners and ecologists have long debated the relationship between the structure of urban landscapes and social activities. There have, however, been very few discussions as to whether any such relationships might depend on the scales of observation. This work applies a hierarchical zoning technique to data from the city of Quito, Ecuador, to examine how relationships between typical spat...

In emerging database applications that deal with large sets of multidimensional data, the performance of the query system significantly depends on the performance of its access methods and the underlying disk system. In recent years, hard disks are manufactured with multiple physical zones, where seek times and data transfer rates vary significantly across the zones. However, there is a marked ...

The whole word recognition process described in this report aims at limiting the recognition domain, i.e. the size of the lexicon used for a particular word. The process consists of the following stages: • calculating the word zoning information and the position of ascenders/descenders within the word; • building word shape information using the obtained zoning information; • locating words of ...

In recent decades, the world has experienced unprecedented urban growth which endangers the green environment in and around urban areas. In this work, an artificial neural network (ANN) based model is developed to predict future impacts of urban and agricultural expansion on the uplands of Deepor Beel, a Ramsar wetland in the city area of Guwahati, Assam, India, by 2025 and 2035 respectively. S...