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...

Cabbage is one of the most commonly produced vegetable crops worldwide due to its ability adapt a range climatic conditions and soil types. As an intensive crop, cabbage can be all year round. Regarding fact that needs optimum agroclimatic during growing period for better yielding results, paper aims clarify define specific requirements, such as temperature, water, light soil, suitable producti...

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 Köppen-Geiger classification is one of the most common climate systems in world. It allows classifying ecosystem distribution based on temperature and precipitation, two critical factors climate, vegetation cover’s sensitivity. We analyzed dynamics spatial consistency agroclimatic variables each type Köppen- Geiger present Chile, visualizing variables’ behavior throughout territory. T...

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...

We present a maximum entropy classifier that significantly improves the accuracy of Argumentative Zoning in scientific literature. We examine the features used to achieve this result and experiment with Argumentative Zoning as a sequence tagging task, decoded with Viterbi using up to four previous classification decisions. The result is a 23% F-score increase on the Computational Linguistics co...

We study the impact on productivity of specific operating practices currently used by demand responsive transit (DRT) providers. We investigate the effect of using a zoning vs. a no-zoning strategy and time-window settings on performance measures such as total trip miles, deadhead miles and fleet size. It is difficult to establish closed form expressions to assess the impact on the performance ...

In this paper we study the impact on productivity of specific operating practices currently used by demand responsive transit (DRT) providers. We investigate the effect of using a zoning vs. a no-zoning strategy and time-window settings on performance measures such as total trip miles, deadhead miles and fleet size. It is difficult to establish closed form expressions to assess the impact on th...