Rizvi S.S.,Preston University |
Chung T.-S.,Ajou University
International Review on Computers and Software | Year: 2012
Wireless sensor network applications become essential tools for monitoring the activity and evolution of our surrounding environment. Since, the key characteristics of wireless sensor networks are to handle very sensitive real-time tasks like surveillance and target tracking, the performance of processing devices within sensor nodes highly impact the significance of overall network. Performance mainly depends on the physical architecture of any processing system. There are two well known architectures for microprocessors: von Neumann and Harvard. In this paper, we analyze, evaluate and compare the architectures to investigate the quality in terms of query optimization, power consumption and peripherals utilization in resource constraint data centric wireless sensor networks. Experimental results based on index structures like B-tree, R-tree, and MR-tree are provided and discussed to give the better idea to users for suitable innetwork data processing products for their real-time systems. © 2012 Praise Worthy Prize S.r.l. -All rights reserved. - All rights reserved.
Rizvi S.S.,Preston University |
Chung T.-S.,Ajou University
International Review on Computers and Software | Year: 2013
The continuous improvement in hardware design and advances in wireless communication have enabled the deployment of various wireless applications. Wireless sensor network applications become essential tools for monitoring the activity and evolution of our surrounding environment. However, the wireless sensor nodes are highly resource constrained in terms of limited processing speed, run time memory, persistent storage, communication bandwidth and finite energy. Therefore, for energy efficient in-network data retention and query processing, data mining approach is highly required that reduces the storage space, energy and communication cost consumption. This paper investigates the data mining approach for clustering sensor networks. Results show 99.88% less storage space, 37.6% reduced energy and 80% increased query throughput is achieved using data mining approach for wireless sensor networks. © 2013 Praise Worthy Prize S.r.l. - All rights reserved.
Ahmed M.,COMSATS Institute of Information Technology |
Riaz K.,COMSATS Institute of Information Technology |
Maqbool Khan A.,International Islamic University, Islamabad |
Bibi S.,Preston University
Renewable and Sustainable Energy Reviews | Year: 2015
A recent survey of energy-growth literature has highlighted the potential trade-off between bivariate models that suffer from omitted variable bias, and the danger of over-parameterization of multivariate models in the individual country setting (Narayan and Smyth ). This is a serious limitation when the interest is in drawing policy implications for specific countries with short times series of available data. The maximum entropy bootstrap approach was used to re-examine the nature of causal relationship between energy consumption and economic growth for Pakistan where the available time series data was only from 1971 to 2011. Unlike the techniques used in much of the earlier literature, this approach does not rely on asymptotic methods and, therefore, leads to robust inference even in small samples. Moreover, the approach can be applied in the presence of non-stationarity of any type, and structural breaks, without requiring data transformation for to achieving stationarity, and is not sensitive to specification errors such as those in lag length selection. The empirical findings, based on both the bivariate as well as the multivariate frameworks, supported the conservation hypothesis, implying the existence of a unidirectional causality from economic growth to energy consumption. © 2015 Elsevier Ltd.
Momein F.A.,Preston University |
Brohi M.N.,United Arab Emirates University
Asian Journal of Information Technology | Year: 2010
Crime is a social phenomenon that has existed throughout human history. As people and technology evolved and developed new technology, there is no doubt that criminals continue to exploit or take advantage of this technological progress. We are now in the era of an information revolution, which provides modern science, high technology and accordingly, it is axiomatic that new types of crimes have come to the forefront. The criminal of yesterday is exactly like the criminal of today and therefore, the crime of yesterday is certainly not like the crime of today. © Medwell Journals, 2010.
Habib D.,Quaid-i-Azam University |
Chaudhary M.F.,Preston University |
Zia M.,Quaid-i-Azam University
Applied Biochemistry and Biotechnology | Year: 2014
Here, we demonstrate the micropropagation protocol of Argyrolobium roseum (Camb.), an endangered herb exhibiting anti-diabetic and immune-suppressant properties, and antioxidant enzymes pattern is evaluated. Maximum callogenic response (60 %) was observed from leaf explant at 1.0 mg L-1 1-nephthalene acetic acid (NAA) and 0.5 mg L-1 6-benzyl aminopurine (BA) in Murashige and Skoog (MS) medium using hypocotyl and root explants (48 % each). Addition of AgNO3 and PVP in the culture medium led to an increase in callogenic response up to 86 % from leaf explant and 72 % from hypocotyl and root explants. The best shooting response was observed in the presence of NAA, while maximum shoot length and number of shoots were achieved based on BA-supplemented MS medium. The regenerated shoots were rooted and successfully acclimatized under greenhouse conditions. Catalase and peroxidase enzymes showed ascending pattern during in vitro plant development from seed while ascorbate peroxidase showed descending pattern. Totally reverse response of these enzymes was observed during callus induction from three different explants. During shoot induction, catalase and peroxidase increased at high rate while there was a mild reduction in ascorbate peroxidase activity. Catalase and peroxidase continuously increased; on the other hand, ascorbate peroxidase activity decreased during root development and acclimatization states. The protocol described here can be employed for the mass propagation and genetic transformation of this rare herb. This study also highlights the importance and role of ascorbate peroxidase, catalase, and peroxidase in the establishment of A. roseum in vitro culture through callogenesis and organogenesis. © 2013 Springer Science+Business Media New York.