Jordan University of Science and Technology

About: Jordan University of Science and Technology is a education organization based out in Irbid, Irbid, Jordan. It is known for research contribution in the topics: Population & Health care. The organization has 7582 authors who have published 13166 publications receiving 298158 citations. The organization is also known as: JUST.

Land use/cover classification of arid and semi‐arid Mediterranean landscapes using Landsat ETM

Abstract: Land use/cover classification in heterogeneous east Mediterranean landscapes is challenging, e.g. Jordan. Digital land use/cover maps are needed at an appropriate cost, spatial and temporal coverage. North‐western Jordan is appropriate for exploring the use of Landsat ETM imagery in land use/cover delineations as its biogeographic zones are very diverse and heterogeneous. Supervised and unsupervised classification schemes were used with and without spatial enhancement techniques. Sources of classification errors were inspected statistically. Results indicated that Landsat ETM images are effective in classifying heterogeneous Mediterranean landscapes with an accuracy of up to 83%. Accuracy was enhanced by approximately 9% using supervised classification. Spatial enhancement improved accuracy of certain classes and reduced it for others. Results call for class‐specific classification schemes. Areas of the different land use/cover classes of the study area were estimated from the classified image. Urban, shr...

Controlling Hopf bifurcation and chaos in a small power system

Abstract: For the power systems, the stabilization and tracking of voltage collapse trajectory, which involves severe nonlinear and nonstationary (unstable) features, is somewhat difficult to achieve. In this paper, we choose a widely used three-bus power system to be our case study. The study shows that the system experiences a Hopf bifurcation point (subcritical point) leads to chaos throughout period-doubling route. A model-based control strategy based on global state feedback linearization (GLC) is applied to the power system to control the chaotic behavior. The performance of GLC is compared with that for a nonlinear state feedback control.

ASTRA - A Novel interest measure for unearthing latent temporal associations and trends through extending basic gaussian membership function

Abstract: Time profiled association mining is one of the important and challenging research problems that is relatively less addressed. Time profiled association mining has two main challenges that must be addressed. These include addressing i) dissimilarity measure that also holds monotonicity property and can efficiently prune itemset associations ii) approaches for estimating prevalence values of itemset associations over time. The pioneering research that addressed time profiled association mining is by J.S. Yoo using Euclidean distance. It is widely known fact that this distance measure suffers from high dimensionality. Given a time stamped transaction database, time profiled association mining refers to the discovery of underlying and hidden time profiled itemset associations whose true prevalence variations are similar as the user query sequence under subset constraints that include i) allowable dissimilarity value ii) a reference query time sequence iii) dissimilarity function that can find degree of similarity between a temporal itemset and reference. In this paper, we propose a novel dissimilarity measure whose design is a function of product based gaussian membership function through extending the similarity function proposed in our earlier research (G-Spamine). Our approach, MASTER (Mining of Similar Temporal Associations) which is primarily inspired from SPAMINE uses the dissimilarity measure proposed in this paper and support bound estimation approach proposed in our earlier research. Expression for computation of distance bounds of temporal patterns are designed considering the proposed measure and support estimation approach. Experiments are performed by considering naive, sequential, Spamine and G-Spamine approaches under various test case considerations that study the scalability and computational performance of the proposed approach. Experimental results prove the scalability and efficiency of the proposed approach. The correctness and completeness of proposed approach is also proved analytically.

Ozone as an adjunct to conventional nonsurgical therapy in chronic periodontitis: a randomized controlled clinical trial

Abstract: Background and Objective Currently, only limited data are available from controlled clinical trials regarding the effect of irrigation by ozonated water in the treatment of periodontitis. The aim of the present study was to determine the clinical and biological effects of the adjunctive use of ozone in nonsurgical periodontal treatment. Material and Methods Forty-one patients with chronic periodontitis were randomized to treatment with either subgingival scaling and root planing (SRP) followed by irrigation with ozonated water (test) or subgingival SRP followed by irrigation with distilled water irrigation (control). The following parameters were evaluated at baseline (T0), 3 mo (T1): plaque index; gingival index; bleeding on probing; probing pocket depth; gingival recession; and clinical attachment loss. In addition, the serum concentrations of high sensitivity C-reactive protein were measured at T0 and T1. Results Forty-one patients with chronic periodontitis were included in the analysis (20 in the test group and 21 in the control group). There was statistically significant improvement in the study parameters in both groups between T0 and T1, except for gingival index. However, there were no significant differences in any study parameter between test and control groups. Conclusion Irrigation with ozonated water as an adjunctive therapy to SRP produces no statistically significant benefit compared with SRP plus distilled water irrigation.