A ca. 1980 national-scale land-cover classification based on aerial photo interpretation was combined with 2000 AVHRR satellite imagery to derive land cover and land-cover change information for forest, urban, and agriculture categories over a seven-state region in the U.S. To derive useful land-cover change data using a heterogeneous dataset and to validate our results, we a) stratified the cl...

The research investigated the impacts of inclusion of column feeder rohu (Labeo rohita) on growth and production in freshwater prawn-carp-mola polyculture system for a period of 172 days. Four stocking densities of Rohu were maintained as 500, 1,000, 1,500 and 2,000 ha -1 in treatment R500, R1000, R1500 and R2000, respectively in triplicates. All ponds each 120 m 2 were stocked with juvenile fr...

We calculate the amount of crustal stretching across the Valles Marineris and a large graben structure in the western Thaumasia region (the “Thaumasia graben” [1,2]). We measure vertical offsets in a set of transects using data obtained by the MOLA laser altimeter. Assuming a fault dip angle of 60°, correcting for landslide deposits, but ignoring other sediment cover, we obtain extension values...

This paper addresses the pattern matching problem for model transformation languages. Despite being an NP-complete problem, the pattern matching can be solved efficiently in typical areas of application. A simple pattern matching strategy is proposed for MOLA model transformation language which is efficient for tasks related to the model driven software development. A more advanced solution is ...

This paper describes the activity diagram migration from UML 1.4 to UML 2.2 in MOLA transformation language. Transformations implementing the migration task are relatively straightforward and easily inferable from the task specification. The required additional steps related to model import and export are also described.

In this paper, we propose an efficient approach to design optimization of analog circuits that is based on the reinforcement learning method. In this work, Multi-Objective Learning Automata (MOLA) is used to design a two-stage CMOS operational amplifier (op-amp) in 0.25μm technology. The aim is optimizing power consumption and area so as to achieve minimum Total Optimality Index (TOI), as a new...