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Papers by Hassan M E H M O O D Bajwa

In order to evaluate the value and usefulness of information systems that guide IS management act... more In order to evaluate the value and usefulness of information systems that guide IS management actions and IS investments, DeLone and McLean established a universal definition of IS success that includes different perspectives of how information systems might be evaluated. The IS success taxonomy consists of six success categories (1) systems quality, (2) information quality, (3) service quality, (4) use, (5) user satisfaction, and (6) net benefit from which they created a multidimensional and interdependent measuring model that exemplifies the interdependencies between the different success categories to capture the complex nature of IS success. While the characteristics of information systems steadily increase in scope and complexity, it is imperious that academia and practice develop the means to evaluate the successfulness or effectiveness of a system and understand the factors and circumstances to build and maintain a successful system. The objective of conducting empirical rese...

Eurasip Journal on Wireless Communications and Networking, Jul 1, 2011

... by ProQuest Information and Learning Company. ProQuest Information and Learning Company 300 N... more ... by ProQuest Information and Learning Company. ProQuest Information and Learning Company 300 North Zeeb Road PO Box 1346 Ann Arbor, MI 48106-1346 Page 3. ©2007 HASSAN M BAJWA All Rights Reserved ii Page 4. ...

International Journal of Applied Electromagnetics and Mechanics, Jul 1, 2011

2011 Eighth International Conference on Information Technology: New Generations, 2011

... Kris Erodula Christian Bach Hassan Bajwa University of Bridgeport University of Bridgeport Un... more ... Kris Erodula Christian Bach Hassan Bajwa University of Bridgeport University of Bridgeport University of Bridgeport ... It further delivers non persistent messages asynchronously to subscriber. This database is a star processor which can be later used for DNA data mining. ...

2007 International Conference on Electrical Engineering, Apr 11, 2007

As on-chip cache size has increased considerably in recent high-performance microprocessor techno... more As on-chip cache size has increased considerably in recent high-performance microprocessor technologies, power dissipation and leakage current in SRAM have become critical. High-performance IC designs use multi-port cache memory to provide the needed accessibility and bandwidth. Since the word and bit lines cover the foot-print of the entire cache section, duplicating the word and bit lines for multiple ports results in large silicon area and increases bitline discharge and power dissipation. As technology scales down device size and supply voltages, static power dissipation has emerged as a critical factor in total system power dissipation. In this paper, we present an area-and energy-efficient multi-port cache memory architecture, which employs isolation nodes, local sense amplifiers and dynamic memory partitioning techniques, to facilitate simultaneous multi-port accesses without duplicating bitlines. The proposed cache memory architecture also reduces bitline latency.

Inference of large and accurate phylogenetic trees has increased in last few years. Early approac... more Inference of large and accurate phylogenetic trees has increased in last few years. Early approaches for phylogenetic inference were based on single processor computers. However, for large number of taxa it is infeasible to use single processor. This poses a challenge for more efficient and scalable algorithms that use parallel and distributed computing for phylogenetic inference. In this article, we propose a clust er based algorithm “PhyloDoop” for inference of phylogenetic trees using distributed computing. Proposed algorithm optimizes tree construction problem by dividing input alignment into clusters, constructs initial sub-trees from alignments in each clusters and merges sub-trees into a single tree by additive procedure. PhyloDoop is implemented on scalable platform Hadoop. The performance of algorithm in terms of final log likelihood values and execution time is compared t o well-known algorithms. Experimental results show that proposed algorithm is computationally efficien...

In order to evaluate the value and usefulness of information systems that guide IS management act... more In order to evaluate the value and usefulness of information systems that guide IS management actions and IS investments, DeLone and McLean established a universal definition of IS success that includes different perspectives of how information systems might be evaluated. The IS success taxonomy consists of six success categories (1) systems quality, (2) information quality, (3) service quality, (4) use, (5) user satisfaction, and (6) net benefit from which they created a multidimensional and interdependent measuring model that exemplifies the interdependencies between the different success categories to capture the complex nature of IS success. While the characteristics of information systems steadily increase in scope and complexity, it is imperious that academia and practice develop the means to evaluate the successfulness or effectiveness of a system and understand the factors and circumstances to build and maintain a successful system. The objective of conducting empirical rese...

Eurasip Journal on Wireless Communications and Networking, Jul 1, 2011

... by ProQuest Information and Learning Company. ProQuest Information and Learning Company 300 N... more ... by ProQuest Information and Learning Company. ProQuest Information and Learning Company 300 North Zeeb Road PO Box 1346 Ann Arbor, MI 48106-1346 Page 3. ©2007 HASSAN M BAJWA All Rights Reserved ii Page 4. ...

International Journal of Applied Electromagnetics and Mechanics, Jul 1, 2011

2011 Eighth International Conference on Information Technology: New Generations, 2011

... Kris Erodula Christian Bach Hassan Bajwa University of Bridgeport University of Bridgeport Un... more ... Kris Erodula Christian Bach Hassan Bajwa University of Bridgeport University of Bridgeport University of Bridgeport ... It further delivers non persistent messages asynchronously to subscriber. This database is a star processor which can be later used for DNA data mining. ...

2007 International Conference on Electrical Engineering, Apr 11, 2007

As on-chip cache size has increased considerably in recent high-performance microprocessor techno... more As on-chip cache size has increased considerably in recent high-performance microprocessor technologies, power dissipation and leakage current in SRAM have become critical. High-performance IC designs use multi-port cache memory to provide the needed accessibility and bandwidth. Since the word and bit lines cover the foot-print of the entire cache section, duplicating the word and bit lines for multiple ports results in large silicon area and increases bitline discharge and power dissipation. As technology scales down device size and supply voltages, static power dissipation has emerged as a critical factor in total system power dissipation. In this paper, we present an area-and energy-efficient multi-port cache memory architecture, which employs isolation nodes, local sense amplifiers and dynamic memory partitioning techniques, to facilitate simultaneous multi-port accesses without duplicating bitlines. The proposed cache memory architecture also reduces bitline latency.

Inference of large and accurate phylogenetic trees has increased in last few years. Early approac... more Inference of large and accurate phylogenetic trees has increased in last few years. Early approaches for phylogenetic inference were based on single processor computers. However, for large number of taxa it is infeasible to use single processor. This poses a challenge for more efficient and scalable algorithms that use parallel and distributed computing for phylogenetic inference. In this article, we propose a clust er based algorithm “PhyloDoop” for inference of phylogenetic trees using distributed computing. Proposed algorithm optimizes tree construction problem by dividing input alignment into clusters, constructs initial sub-trees from alignments in each clusters and merges sub-trees into a single tree by additive procedure. PhyloDoop is implemented on scalable platform Hadoop. The performance of algorithm in terms of final log likelihood values and execution time is compared t o well-known algorithms. Experimental results show that proposed algorithm is computationally efficien...

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