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Institution

Jordan University of Science and Technology

EducationIrbid, Irbid, Jordan
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.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors presented the first few months of operation of a large seawater desalination system at the Marine Science Station (MSS) of Aqaba, Jordan.

177 citations

Journal ArticleDOI
TL;DR: Evaluation in two testbeds on Android phones shows that the SemanticSLAM system can achieve 0.53 meters human median localization errors, which is 62 percent better than a system that does not use SLAM, and has a 33 percent lower convergence time.
Abstract: Indoor localization using mobile sensors has gained momentum lately. Most of the current systems rely on an extensive calibration step to achieve high accuracy. We propose SemanticSLAM , a novel unsupervised indoor localization scheme that bypasses the need for war-driving. SemanticSLAM leverages the idea that certain locations in an indoor environment have a unique signature on one or more phone sensors. Climbing stairs, for example, has a distinct pattern on the phone's accelerometer; a specific spot may experience an unusual magnetic interference while another may have a unique set of Wi-Fi access points covering it. SemanticSLAM uses these unique points in the environment as landmarks and combines them with dead-reckoning in a new Simultaneous Localization And Mapping (SLAM) framework to reduce both the localization error and convergence time. In particular, the phone inertial sensors are used to keep track of the user's path, while the observed landmarks are used to compensate for the accumulation of error in a unified probabilistic framework. Evaluation in two testbeds on Android phones shows that the system can achieve $0.53$ meters human median localization errors. In addition, the system can detect the location of landmarks with 0.83 meters median error. This is 62 percent better than a system that does not use SLAM. Moreover, SemanticSLAM has a 33 percent lower convergence time compared to the same systems. This highlights the promise of SemanticSLAM as an unconventional approach for indoor localization.

176 citations

Journal ArticleDOI
TL;DR: The findings of the study indicated a direct and a buffering effect of recognition of nurses' performance on job stress and the level of intention to stay at work.
Abstract: Purpose To investigate: (1) relationships between job stress, recognition of nurses’ performance, job performance and intention to stay among hospital nurses; and (2) the buffering effect of recognition of staff performance on the ‘stress–intention to stay at work’ relationship. Background Workplace stress tremendously affects today’s workforce. Recognition of nurses’ performance needs further investigation to determine if it enhances the level of intention to stay at work and if it can buffer the negative effects of stress on nurses’ intention to stay at work. Design and methods The sample of the present study was a convenience one. It consisted of 206 Jordanian staff nurses who completed a structured questionnaire. Results The findings of the study indicated a direct and a buffering effect of recognition of nurses’ performance on job stress and the level of intention to stay at work. Conclusion The results of the study indicated the importance of recognition for outstanding performance as well as achievements. Implications for nursing management The results of this study support the need to focus on the implementation of recognition strategies in the workplace to reduce job stress and enhance retention.

176 citations

Journal ArticleDOI
TL;DR: A novel approach has been proposed to diagnose PD using the gait analysis, that consists of the gact cycle, which can be broken down into various phases and periods to determine normative and abnormal gait.

176 citations

Journal ArticleDOI
TL;DR: This study examined three releases of the Eclipse project and found that although some metrics can still predict class error proneness in three error-severity categories, the accuracy of the prediction decreased from release to release and the prediction cannot be used to build a metrics model to identify error-prone classes with acceptable accuracy.

175 citations


Authors

Showing all 7666 results

NameH-indexPapersCitations
Andrew McCallum11347278240
Yousef Khader94586111094
Michael P. Jones9070729327
David S Sanders7563923712
Nidal Hilal7239521524
Nagendra P. Shah7133419939
Jeffrey R. Idle7026116237
Rahul Sukthankar7024028630
Matthias Kern6633214871
David De Cremer6529713788
Moustafa Youssef6129915541
Mohammed Farid6129915820
Rudolf Holze5838813761
Rich Caruana5714526451
Eberhardt Herdtweck5633210785
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022104
20211,371
20201,304
2019994
2018862