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Now showing items 11-17 of 17
Design Of Incentive Compatible Mechanisms For Ticket Allocation In Software Maintenance Services
(2009-05-28)
Software Maintenance is becoming more and more challenging due to rapidly changing customer needs, technologies and need for highly skilled labor. Many problems that existed a decade ago continue to exist or have even ...
Experimental Studies On A New Class Of Combinatorial LDPC Codes
(2009-06-05)
We implement a package for the construction of a new class of Low Density Parity Check (LDPC) codes based on a new random high girth graph construction technique, and study the performance of the codes so constructed on ...
Analysis And Design Of Image And Video Encryption Algorithms
(2009-03-19)
The rapid growth in multimedia based Internet systems and applications like
video telephony, video on demand, network based DVD recorders and IP
television has created a substantial need for ...
Scalable Low Power Issue Queue And Store Queue Design For Superscalar Processors
(2009-03-09)
A Large instruction window is a key requirement to exploit greater Instruction Level Parallelism in out-of-order superscalar processors. Along with the instruction window size, the size of various other structures including ...
Integrating A New Cluster Assignment And Scheduling Algorithm Into An Experimental Retargetable Code Generation Framework
(2009-03-09)
This thesis presents a new unified algorithm for cluster assignment and acyclic region
scheduling in a partitioned architecture, and preliminary results on its integration into an experimental retargetable code generation ...
Hadwiger's Conjecture On Circular Arc Graphs
(2009-04-30)
Conjectured in 1943, Hadwiger’s conjecture is one of the most challenging open problems in graph theory. Hadwiger’s conjecture states that if the chromatic number of a graph G is k, then G has a clique minor of size at ...
Large Data Clustering And Classification Schemes For Data Mining
(2009-03-20)
Data Mining deals with extracting valid, novel, easily understood by humans, potentially useful and general abstractions from large data. A data is large when number of patterns, number of features per pattern or both are ...