Time filter

Source Type

Sita Road, Pakistan

The Iqra University is a private research university primarily located in residential area of Karachi, Sindh, Pakistan. The university has additional campuses in Islamabad, Quetta and Peshawar as well.Founded as Asian Management Institute in 1998 by a group of Karachi-based industrialists, the university was renamed as "Iqra University" after granted university status in 2002 by HEC. The university offers undergraduate, post-graduate, and doctoral studies programmes in engineering, film studies, management science, administration, and related social and natural science disciplines.It is one of the notable private institution of higher learning and currently ranked in among top-ten institution for "business category" by the HEC in 2012. In addition, the university is noted as being the largest employer of doctorate holders as faculty. Also, the university has a largest research publication output than any other higher learning institution of the country. Wikipedia.

Hussain I.,Iqra University
Modern Problems of Radio Engineering, Telecommunications and Computer Science - Proceedings of the 10th International Conference, TCSET'2010 | Year: 2010

In this research we introduce a new idea to solve the problem of exact pattern matching algorithm by using two pointers, simultaneously.

Wu Y.-C.,University of Hong Kong | Chaudhari Q.,Iqra University | Serpedin E.,Texas A&M University
IEEE Signal Processing Magazine | Year: 2011

Clock synchronization is a critical component in the operation of wireless sensor networks (WSNs), as it provides a common time frame to different nodes. It supports functions such as fusing voice and video data from different sensor nodes, time-based channel sharing, and coordinated sleep wake-up node scheduling mechanisms. Early studies on clock synchronization for WSNs mainly focused on protocol design. However, the clock synchronization problem is inherently related to parameter estimation, and, recently, studies on clock synchronization began to emerge by adopting a statistical signal processing framework. In this article, a survey on the latest advances in the field of clock synchronization of WSNs is provided by following a signal processing viewpoint. This article illustrates that many of the proposed clock synchronization protocols can be interpreted and their performance assessed using common statistical signal processing methods. It is also shown that advanced signal processing techniques enable the derivation of optimal clock synchronization algorithms under challenging scenarios. © 2010 IEEE.

Chaudhari Q.M.,Iqra University
IEEE Transactions on Communications | Year: 2012

Previous studies on clock synchronization problem have resulted in diverse techniques ranging from computationally expensive to simple statistical methods. The common conclusion from this investigation has been the classic complexityperformance tradeoff. This research presents a synchronization scheme that is computationally simpler and robust to the underlying network delay density function. © 2012 IEEE.

Alam M.A.,Iqra University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

This study linked aircrew risk-taking behavior to aviation loss, and in this relationship it examined the moderating role of phase-of-flight. First, it developed a measurement model in view of prior accident causation theories and findings of 715 general aviation accidents in Pakistan over a period spanning 2000-2014. Later, it espoused this model for hypotheses testing using original data from 224 randomly chosen accidents and assessed the model through structural path analysis. Results indicated a positive relationship between aircrew risk-taking behavior and aviation loss, and significant moderating role of phase-of-flight. © Springer International Publishing Switzerland 2016.

Alam M.A.,Iqra University
Journal of Air Transport Management | Year: 2016

Technological progress in aviation sector is a source of increasing productivity, yet it is also a cause of stress. This study aimed to elucidate the linkage between techno-stress and crew productivity and examine the interaction effect of role-overload and equity-sensitivity in this relationship. The study explored three factors of techno-stress i.e. techno-complexity, techno-uncertainty and techno-overload, and found that their negative relationship with crew productivity got stronger when the crew was more role-overloaded and when the crew was more equity-sensitive. Respondents (N = 203) randomly chosen from aviation sector in Pakistan participated in the study. Together, the findings suggested role-equity analogous to fulcrum that can leverage crew productivity in aviation industry. © 2015 Elsevier Ltd.

Discover hidden collaborations