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Ajman, United Arab Emirates

Ajman University of Science and Technology was founded in 1988 as Ajman University College of Science and Technology and subsequently was renamed Ajman University of Science and Technology .The Ajman University of Science and Technology is located on University Street in the Jarf district of Ajman, in close proximity to the Khalifa Hospital, Gulf Medical College, Ajman Immigration Department and Ajman Traffic Department. The 215 thousand square meter campus has sports facilities , bookshop, health unit, restaurants, and mosques. Its standard academic year comprises the fall and spring semesters, while it has one summer semester . Wikipedia.


Hashim R.,Ajman University for Science and Technology
European Archives of Paediatric Dentistry | Year: 2012

Aim: To assess, by means of a structured questionnaire, mothers' level of knowledge with regards to the immediate emergency management of dental trauma in the Emirate of Ajman, United Arab Emirates (UAE). METHODS: A cross-sectional study using anonymous structured questionnaires was employed for mothers chosen at random from child care centres. The questionnaire surveyed mothers' background, knowledge and management of tooth fracture, avulsion, and also investigated mothers' self-assessed knowledge of the availability and priority of emergency services of trauma in UAE. RESULTS: The sample consisted of 676 mothers (response rate 96.6%) who attended mother and child care centres in Ajman over a period of two months (January-February 2011). More than half of the mothers participated in this study were in their twenties and 69.4% had university qualifications. Around 61.5% of the mothers had previous direct or indirect experience of dental trauma. Mother's knowledge of dental trauma seemed to be inadequate. Chi-square test indicated that there was no significant difference in the number of correct responses in relation to age, level of education, or number of observed trauma cases. Most mothers were unaware of the availability of after workinghours emergency services. They were dissatisfied with their level of knowledge of dental trauma and the majority were interested in having further education on the topic. CONCLUSIONS: The level of knowledge of dental trauma management (especially tooth avulsion) among mothers in Ajman was inadequate and education campaigns are necessary to improve the emergency management of dental injuries. Therefore it is important to educate the public of the availability of after hours dental emergency services to overcome any delay in seeking professional help in cases of dental trauma. Source


Eweda E.,Ajman University for Science and Technology | Bershad N.J.,University of California at Irvine
IEEE Transactions on Signal Processing | Year: 2012

The least mean fourth (LMF) algorithm has several stability problems. Its stability depends on the variance and distribution type of the adaptive filter input, the noise variance, and the initialization of the filter weights. A global solution to these stability problems was presented recently for a normalized LMF (NLMF) algorithm. Here, a stochastic analysis of the mean-square deviation (MSD) of the globally stable NLMF algorithm is provided. The analysis is done in the context of adaptive noise canceling with a white Gaussian reference input and Gaussian, binary, and uniform desired signals. The analytical model is shown to accurately predict the results of Monte Carlo simulations. Comparisons of the NLMF and NLMS algorithms are then made for various parameter selections. It is then shown under what conditions the NLMF algorithm is superior to NLMS algorithm for adaptive noise canceling. © 1991-2012 IEEE. Source


Eweda E.,Ajman University for Science and Technology
IEEE Transactions on Signal Processing | Year: 2012

The least mean fourth algorithm has several stability problems. Its stability depends on the variance and distribution type of the adaptive filter input, the noise variance, and the initialization of the filter weights. The present correspondence provides a global solution to all these stability problems. This is achieved by normalizing the weight vector update term by a term that is fourth order in the regressor and second order in the estimation error. The former property stabilizes the algorithm against the variance and distribution type of the filter input, while the latter stabilizes the algorithm against the noise variance and the weight initialization. The obtained algorithm is stable for all values of the step-size between 0 and 2. The stability of the algorithm is supported by simulations. © 2011 IEEE. Source


Eweda E.,Ajman University for Science and Technology
International Journal of Adaptive Control and Signal Processing | Year: 2012

The paper analyzes the transient and steady-state performances of a least mean square algorithm in the rarely-studied situation of a time-varying input power. A scenario of periodic pulsed variation of the input power is considered. The analysis is carried out in the context of tracking a Markov plant with a white Gaussian input. It is shown that the mean square deviation (MSD) converges to a periodic sequence having the same period as that of the variation of the input power. Expressions are derived for the convergence time and the steady-state peak MSD. Surprisingly, it is found that neither the transient performance nor the steady-state performance degrades with rapid variation of the input power. On the other hand, slow input power variation causes degradation in both the transient and steady-state performances for given amplitude of variation of the input power. In the case of a time-invariant plant, neither rapid nor slow variation of the input power causes degradation in the steady-state performance. On the other hand, there is degradation in the transient performance for slow variation of the input power. Copyright © 2012 John Wiley & Sons, Ltd. Source


Hashim R.,Ajman University for Science and Technology
European Journal of Paediatric Dentistry | Year: 2011

Aim: To assess, by means of self-administered structured questionnaire, the level of knowledge of primary schools teachers in Ajman with regards to the immediate emergency management of dental trauma. Material and method: The questionnaire was sent to teachers in randomly selected primary schools in Ajman. A total of 161 teachers responded (response rate 84.4%). The questionnaire surveyed teachers' background, knowledge and management of tooth fracture, avulsion, and also investigated teachers' attitudes and self-assessed knowledge. Results: Ninety-one percent of the teachers were females, 51.6% in their thirties and 61.5% had university qualification. Fifty teachers had received formal first aid training, and only thirteen of them recalled that they had received training on the management of dental trauma. Concerning the management of tooth fracture, 138 respondents (85.8%) gave the appropriate management for fractured tooth. One hundred twenty-one (75%) of the respondents indicated that is " very urgent" to seek professional assistance if a permanent tooth is avulsed, but they had little knowledge on the correct media for transporting the avulsed tooth. Most teaches were unsatisfied with their level of knowledge for dental trauma and the majority were interested in having further education on the topic. Conclusion: The findings revealed that the level of knowledge of management of dental trauma (especially tooth avulsion) among school teachers in Ajman is inadequate, and education campaigns are necessary to improve their emergency management of dental injuries. Source

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