Abstract: Governments around the world are expending
considerable time and resources framing strategies and policies to
deliver energy security. The term 'energy security' has quietly
slipped into the energy lexicon without any meaningful discourse
about its meaning or assumptions. An examination of explicit and
inferred definitions finds that the concept is inherently slippery
because it is polysemic in nature having multiple dimensions and
taking on different specificities depending on the country (or
continent), timeframe or energy source to which it is applied. But
what does this mean for policymakers? Can traditional policy
approaches be used to address the problem of energy security or does
its- polysemic qualities mean that it should be treated as a 'wicked'
problem? To answer this question, the paper assesses energy security
against nine commonly cited characteristics of wicked policy
problems and finds strong evidence of 'wickedness'.
Abstract: This paper discusses the Urdu script characteristics,
Urdu Nastaleeq and a simple but a novel and robust technique to
recognize the printed Urdu script without a lexicon. Urdu being a
family of Arabic script is cursive and complex script in its nature, the
main complexity of Urdu compound/connected text is not its
connections but the forms/shapes the characters change when it is
placed at initial, middle or at the end of a word. The characters
recognition technique presented here is using the inherited
complexity of Urdu script to solve the problem. A word is scanned
and analyzed for the level of its complexity, the point where the level
of complexity changes is marked for a character, segmented and
feeded to Neural Networks. A prototype of the system has been
tested on Urdu text and currently achieves 93.4% accuracy on the
average.