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Search Results: 1 - 10 of 22781 matches for " Mohammed Al Shehhi "
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Forecasting Hotel Prices in Selected Middle East and North Africa Region (MENA) Cities with New Forecasting Tools  [PDF]
Mohammed Al Shehhi, Andreas Karathanasopoulos
Theoretical Economics Letters (TEL) , 2018, DOI: 10.4236/tel.2018.89104
Abstract: The purpose of this paper is to understand the potential of traditional and non-traditional statistical techniques to predict dynamic hotel room prices. Four forecast models were employed: the simple moving average, the autoregressive integrated moving average (ARIMA), the radial basis function (RBF), and the support vector machine (SVM). This research is based on an empirical study of data obtained from the company Smith Travel Research (STR). The economic predictors were obtained from other reliable sources such as the World Bank and the World Tourism Organization. This study agreed with existing literature on the ability of machine learning to predict hotel room prices precisely. Given the complexity of the hotel industry, the effect of external economic predictors was tested in the model. The challenge lay in dealing with the mixed frequencies observed in the collected data. This research is designed to add an innovative approach to the existing literature on machine learning in the hotel industry in the Middle East and North Africa (MENA) region. Some of the machine learning techniques used in this study constitute a contribution to the research conducted in this region. This creates a bridge between many academic disciplines such as computer science, economics, and marketing. Small hotel operators should benefit from this research when setting strategies as well as in using the model to set their relative room prices.
Comparison of the Bayesian Methods on Interval-Censored Data for Weibull Distribution  [PDF]
Al Omari Mohammed Ahmed
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.48053
Abstract: This study considers the estimation of Maximum Likelihood Estimator and the Bayesian Estimator of the Weibull distribution with interval-censored data. The Bayesian estimation can’t be used to solve the parameters analytically and therefore Markov Chain Monte Carlo is used, where the full conditional distribution for the scale and shape parameters are obtained via Metropolis-Hastings algorithm. Also Lindley’s approximation is used. The two methods are compared to maximum likelihood counterparts and the comparisons are made with respect to the mean square error (MSE) to determine the best for estimating of the scale and shape parameters.
Structural Behavior of Tall Building Raft Foundations in Earthquake Zones  [PDF]
Mohammed S. Al- Ansari
Open Journal of Earthquake Research (OJER) , 2017, DOI: 10.4236/ojer.2017.64011
Abstract:
The paper studies the behavior of reinforced concrete raft foundations for multi-story buildings. It also develops a reliability assessment tool for multi- story building raft foundations subjected to earthquake loading. Several multi-story buildings with various configurations, heights, and soil profiles, were subjected to several ACI code combinations of gravity and earthquake loads from different seismic zones. The reliability of the raft foundations of these buildings was assessed using the reliability index approach based on their resistance to the applied loads. Also, the responses of the multi-story buildings under these loading combinations were studied and analyzed in order to draw recommendations and guidelines for the preliminary design of structurally efficient and reliable raft foundations in earthquake zones.
Distribution and Resistance Trends of Community Associated Urinary Tract Pathogens in Sharjah, UAE
Nihar Dash,Mansour AL-Zarouni,Nora Al-Kous,Fatma Al- Shehhi
Microbiology Insights , 2008,
Abstract: Objective: To describe the spectrum of etiologic agents causing community associated UTI and their antimicrobial resistance trends in a large teaching hospital in Sharjah, United Arab Emirates.Methods: A retrospective review of the microbiology laboratory records of four hundred ninety two cases of community associated UTI between April 2006 and March 2007 was carried out. Etiologic agents and their antimicrobial susceptibility pattern were analyzed.Results: A wide spectrum of uropathogens was isolated of which the leading etiologic agents of community associated UTI were Escherichia coli (207 strains) and Klebsiella species (90 strains). Sixty-six per cent of Gram-negative bacilli were resistant to amoxicillin, 58.5% were resistant to trimethoprim-sulfamethoxazole and more than 50% were resistant to cephalexin. How- ever, resistance rate to antimicrobials like ciprofloxacin and ceftriaxone remain relatively low 9.7% and 7.6% respectively.Conclusions: Escherichia coli remains the leading cause of community associated UTI. In-vitro antimicrobial resistance pattern of the isolates revealed that trimethoprim-sulfamethoxazole, cephalexin and amoxycillin the commonly used first- line antimicrobials were becoming less and less effective in their treatment. This information can help in changing preferences of suitable antimicrobial agent in treatment of community associated UTI.
Distribution and Resistance Trends of Community Associated Urinary Tract Pathogens in Sharjah, UAE
Nihar Dash,Mansour AL-Zarouni,Nora Al-Kous,Fatma Al- Shehhi
Microbiology Insights , 2008,
Abstract:
Solving the Three-Dimensional Palet-Paking Problem Using Mixed 0 - 1 Model  [PDF]
Adel Mohammed Al-Shayea
Journal of Service Science and Management (JSSM) , 2011, DOI: 10.4236/jssm.2011.44059
Abstract: The distribution of Pallet Packing Problem is to load a set of distinct boxes with given dimensions on pallets or in con- tainers to maximize volume utilization. This problem is still in its early stages of research, but there is a high level of interest in developing effective models to solve this NP-hard problem to reduce the time, energy and other resources spent in packing pallets. In this paper, the three-dimensional pallet loading with mixed box sizes model has been developed. This loading model allows many boxes of various sizes to be placed onto the same pallet. The model also considers the number or proportion of each box size that can be loaded on a pallet. No restrictions are placed on the dimensions of the boxes, the pallets, or the number of different box sizes that can be considered. Therefore, the objective of this work is to determine how to most efficiently load a given pallet by maximizing the volume occupied by its load of boxes. Tests on several problems were implemented using OR library in order to show the validation of the proposed model. The results showed that the formulated mixed 0 - 1 models provide exact solutions for the pallet-packing problem. The computational time requirements of the developed model prevent its use in real-time palletizing applications. As microcomputer chip technology continues to evolve the lengthy computation time may prove to be less of a problem in real time applications.
Reliability Index of Tall Buildings in Earthquake Zones  [PDF]
Mohammed S. Al-Ansari
Open Journal of Earthquake Research (OJER) , 2013, DOI: 10.4236/ojer.2013.23005
Abstract:

The paper develops a reliability index approach to assess the reliability of tall buildings subjected to earthquake loading. The reliability index β model measures the level of reliability of tall buildings in earthquake zones based on their response to earthquake loading and according to their design code. The reliability index model is flexible and can be used for: 1) all types of concrete and steel buildings and 2) all local and international codes of design. Each design code has its unique reliability index β as a magnitude and the interaction chart corresponding to it. The interaction chart is a very useful tool in determining the building drift for the desired level of reliability during the preliminary design of the building members. The assessments obtained using the reliability index approach of simulated, tested, and actual buildings in earthquake zones were acceptable as indicators of the buildings reliability.

Down Scaling Interest in Interest Rate  [PDF]
Mohammed H. S. Al Ashry
Theoretical Economics Letters (TEL) , 2015, DOI: 10.4236/tel.2015.51012
Abstract: During periods of high interest rates, businesses utilize their own capital, merge with other businesses, or diversify, and borrow when it is absolutely necessary. People also avoid hardship through refinancing during economic slowdowns because interest rates are low enough to recover some of their income and lower debt interest. High interest rates are more inviting to investments although hard to sustain in the long run. The future looks grim and interest rates have been down for a while, and will probably stay down for some time to come. This paper investigates ways to lower the earnings percentage in interest rates. A new set of the uniform series of the future worth of money involving linear gradients will be mathematically reformulated to investigate the possibility of lowering the interest rate for long term loans and mortgages. A new equation will be formulated and put into a tabulated practical example.
Large Scale Desalination: A Comparative Cost Affective Economic Analyses of Nuclear, Gas and Solar Powered Plants  [PDF]
Mohammed H. S. Al Ashry
Theoretical Economics Letters (TEL) , 2015, DOI: 10.4236/tel.2015.51015
Abstract: The main objective, here, is to explore the economic viability of the solar powered desalination method through a cost and benefit comparative and contrast study. Using the initial construction expenditure, the annual maintenance cost and energy consumed or produced, a variance ratio test of the random walk hypothesis will be implemented to determine their relative financial efficiency. This paper will also utilize the first order autoregressive multivariate estimation model to analyze the methods and identify the most productive process with most financial promise for future investment. The total deviations of the estimated variables from the actual are accounted for by the variations of the variances of the estimates from the actual. The higher the percentage of the unexplained deviation, the higher the risk involved. The portfolio variance will be utilized to measure the investment risk in three desalination industries.
Augmenting the Heat Sink for Better Heat Dissipation  [PDF]
Mohammed H. S. Al Ashry
Circuits and Systems (CS) , 2015, DOI: 10.4236/cs.2015.62003
Abstract: Heat sinks were invented to absorb heat from an electronic circuit conduct, and then to dissipate or radiate this heat to the surrounding supposedly, ventilated space, at a rate equal to or faster than that of its buildup. Ventilation was not initially recognized as an essential factor to thermal dispersion. However, as electronic circuit-boards continued to heat up, circuit failure became a problem, forcing the inclusion of miniaturized high speed fans. Later, heat sinks with fins and quiet fans were incorporated in most manufactured circuits. Now heat sinks come in the form of a fan with fans made to function as fins to disperse heat. Heat sinks absorb and radiate excess heat from circuit-boards in order to prolong the circuit’s life span. The higher the thermal conductivity of the material used the more efficient and effective the heat sink is. This paper is an attempt to theoretically design a heat sink with a temperature gradient lower than that of the circuit board’s excess heat.
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