Obfuscation Dosed by Rithish Saralaya (from MphasiS Software Services) What is Obfuscation? Obfuscation is the process of making the source code illegible so that it is hard to read and understand. Companies usually employ obfuscation, as they would want to deter the re-engineering / recompiling of the source code. Imagine the risks that would come out, if one were able to reverse engineer a propreitary software, develop it, and distribute it around. The risk is greater in JAVA and .NET environments as they take advantage of Just-In-Time compilation; that allows for deploying an application as intermediate code, rather than code that has been compiled into machine language. There are quite a few obfuscators (or) obfuscation softwares/tools available that one may use. Further References wikipedia : http://en.wikipedia.org/wiki/Obfuscated_code blog on obfuscation : http://blogs.msdn.com/clrsecurity/archive/2005/05/26/422440.aspx
Duck Typing Dosed by Media&Entertainment Delivery Group (MphasiS Software Services) What is Duck Typing? "If it walks like a duck and quacks like a duck, I would call it a duck" is what James Riley had to say referring to the Duck Test. The concept of Duck Typing is brought out from this. Duck Typing is a style in which an object's current set of methods and properties is what determines it semantics, rather than the class/object it is inherited from. In a Duck Typed Language, the language assumes that the methods ( say quack() and walk() ) and properties of the object ( say Duck ) are always available and the check/resolution does not happen at compile-time, and would throw an error if the same does not resolve at run-time. Further References wikipedia : http://en.wikipedia.org/wiki/Duck_typing Example : http://boo.codehaus.org/Duck+Typing Ant Colony Optimization (dosed by Rithish Saralaya (from MphasiS Software Services) What is ACO? ACO or Ant Colony Optimization is one of the more prominent techniques concerning Swarm Intelligence. It is inspired by how "ants" behave in finding optimal paths from their food-source to their colony. Further Info. Ants generally wander randomly while hunting for food. On finding, they return back to their colony secreting a pheromone along the trail. Other ants follow this pheromone to the food source and back to the colony. This pheromone is however evaporative in nature, and over a period of time loses it power of attraction. This evaporation is a boon in disguise, as another ant in probability would have found a better path, and would have created a pheromone trail. So the ants follow the trail that is most attractive or strongest in scent, thus optimizing the path between the food source, and the colony. ACO is based on this probabilistic technique where solutions to computational problemsare found by finding good paths through graphs. Further References wikipedia : http://en.wikipedia.org/wiki/Ant_colony_optimization read : http://www.cs.unibo.it/bison/publications/aco2004.pdf ACO : http://iridia.ulb.ac.be/~mdorigo/ACO/ACO.html 5, 50, 500, 5000 - Store N number of mails in your inbox. Go to http://help.yahoo.com/l/in/yahoo/mail/yahoomail/tools/tools-08.html To unsubscribe send a message to [EMAIL PROTECTED] with the subject unsubscribe. To change your subscription to digest mode or make any other changes, please visit the list home page at http://accessindia.org.in/mailman/listinfo/accessindia_accessindia.org.in
