Khan Y.,University of Hafr Al Batin |
Faraz N.,Shanghai University |
Smarda Z.,Brno University of Technology
Neural Computing and Applications | Year: 2015
The purpose of this paper was to propose a new method to solve partial differential equations arising in the field of science and engineering. In this new method, we have reduced the multiple integrals into a single integral and expressed it in terms of a difference kernel. To make the calculation easy and convenient, we have used the Laplace transformation to solve the difference kernel. The method is very simple, easy to understand and calculation minimizing as compared to the Adomian decomposition method and the variational iteration method. Some examples are given to verify the reliability and efficiency of the method. © 2015 The Natural Computing Applications Forum
Khan Y.,University of Hafr Al Batin |
Smarda Z.,Brno University of Technology |
Faraz N.,Shanghai University
Thermal Science | Year: 2015
In this paper, the effect of radiation on heat transfer in boundary layer flow over an exponentially shrinking sheet is investigated analytically. The similarity transformations are used to transform the partial differential equations to ordinary ones, and an analytical solution is obtained using the homotopy perturbation method. The heat transfer characteristics for different values of the Prandtl number, Eckert number, and radiation number are analyzed and discussed. Finally, the validity of results are verified by comparing with the existing numerical results. Results are presented in tabulated forms to study the efficiency and accuracy of the homotopy perturbation method.
Qamar N.,University of Hafr Al Batin |
Yang Y.,Macau University of Science and Technology |
Nadas A.,Vanderbilt University |
Liu Z.,Southwest University
Procedia Computer Science | Year: 2016
This paper addresses the challenge of identifying clinically-relevant patterns in medical datasets without endangering patient privacy. To this end, we treat medical datasets as black box for both internal and external users of the data enabling a remote query mechanism to construct and execute database queries. The novelty of the approach lies in avoiding the complex data de-identification process which is often used to preserve patient privacy. The implemented toolkit combines software engineering technologies such as Java EE and RESTful web services, to allow exchanging medical data in an unidentifiable XML format along with restricting users to the need-to-know privacy principle. Consequently, the technique inhibits retrospective processing of data, such as attacks by an adversary on a medical dataset using advanced computational methods to reveal Protected Health Information (PHI). The approach is validated on an endoscopic reporting application based on openEHR and MST standards. The proposed approach is largely motivated by the issues related to querying datasets by clinical researchers, governmental or non-governmental organizations in monitoring health care services to improve quality of care.
Zeyad A.M.,Jazan University |
Megat Johari M.A.,Universiti Sains Malaysia |
Tayeh B.A.,Islamic University of Gaza |
Yusuf M.O.,University of Hafr Al Batin
Construction and Building Materials | Year: 2016
The primary focus of this work was to utilize the waste of palm oil industry as a supplementary binder for producing high strength concrete (HSC) whose strength reached 116 MPa. The treatment of ground POFA (GPOFA) to produce ultrafine or treated POFA (UPOFA) changed its fineness, unburned carbon composition and percentage of pozzolanic minerals (SiO2 + Al2O3 + Fe2O3) and led to the production of high strength concrete dubbed HSCg and HSCu, respectively. The characteristics of HSCu indicated UPOFA positive contributions towards workability, strength and permeability (gas and water, chloride penetration and migrations). At the age of 180 days, HSCu containing 20, 40 and 60% of UPOFA resulted in the compressive strength of 108.6, 114.4 and 112.4 MPa, respectively as against the maximum of 106.5 MPa and 105.1 MPa in HSCg and POFA-free high strength concrete (HSC-OPC), respectively. HSCu samples also have the best fluid transport properties when compared to HSCg and HSC-OPC. © 2016 Elsevier Ltd
Al-Zahrani M.A.,King Fahd University of Petroleum and Minerals |
Abo-Monasar A.,University of Hafr Al Batin
Water Resources Management | Year: 2015
Water demand prediction is essential in any short or long-term management plans. For short-term prediction of water demand, climatic factors play an important role since they have direct influence on water consumption. In this paper, prediction of future daily water demand for Al-Khobar city in the Kingdom of Saudi Arabia is investigated. For this purpose, the combined technique of Artificial Neural Networks (ANNs) and time series models was constructed based on the available daily water consumption and climatic data. The paper covers the following: forecast daily water demand for Al-Khobar city, compare the performance of the ANNs [General Regression Neural Network (GRNN) model] technique to time series models in predicting water consumption, and study the ability of the combined technique (GRNN and time series) to forecast water consumption compared to the time series technique alone. Results indicate that combining time series models with ANNs model will give better prediction compared to the use of ANNs or time series models alone. © 2015 Springer Science+Business Media Dordrecht
Al-Zahrani M.,King Fahd University of Petroleum and Minerals |
Abo-Monasar A.,University of Hafr Al Batin |
Sadiq R.,University of British Columbia
Journal of Water Supply: Research and Technology - AQUA | Year: 2016
The prioritization of water mains for renewal requires the consideration of their impact on the deterioration of water quality, in addition to their structural integrity and hydraulic capacity. The deterioration of water mains may lead to structural failure that may have grave economic impacts. This paper develops a fuzzy-based decision support system (DSS) to identify the vulnerable locations in water distribution network (WDN) that may cause overall system failure not only to compromise structural integrity, but also include failures related to water quality and hydraulic capacity. The developed DSS was applied to Al-Khobar WDN located in the eastern part of the Kingdom of Saudi Arabia. To achieve the objectives of the study, an aggregate vulnerability index representing the likelihood of system failure was developed using multi-criteria decision models. In addition, the potential impacts in terms of sensitivity index were also evaluated using advanced soft computing methods. Finally, a risk index, based on both vulnerability and sensitivity indices, was developed to help water managers to prioritize the water mains based on the overall risk of failure. © IWA Publishing 2016 Journal of Water Supply: Research and Technology-AQUA | 65.2 | 2016.
Yu Y.,Zhejiang University |
Wu Q.,Zhejiang University |
Khan Y.,University of Hafr Al Batin
Neural Computing and Applications | Year: 2015
In this paper, we present a method to generate a constant mean curvature (CMC) surface with the given boundary. By assuming the velocity to zero in the dynamic model for every step, a fixed-point iteration is carried out. Either the variation of Dirichlet energy or area energy can be chosen to be the approximation of the mean curvature. Experiments and results show that our method can work for minimal surfaces or CMC surfaces with nonzero mean curvature and with fixed or free boundary. Meanwhile it is robust with poor quality initial mesh as well as non-uniformly distributed vertices. © 2015 The Natural Computing Applications Forum
Bouzid B.,University of Hafr Al Batin |
Abu Khadra F.,University of Hafr Al Batin
Microwave and Optical Technology Letters | Year: 2016
A novel design of high and broad gain that covers C and L bands is demonstrated experimentally. The techniques, used in this paper, combine two double pass with split band structure. The signals travel in separate paths after being splitted using a coupler band splitter. The topology of this new configuration uses this technique to broaden the gain at its maximum range of amplification. The presented paper is to study the performance of the augmented gain of the EDFA configuration using what it can be called double pass wide band amplification. The results show a broadening range of 80 nm between 1520 nm and 1600 nm in the C and L band and high gain of 45 dB for the range 1525 nm and 1580 nm and lower gain for the range 1580 nm and 1600 nm. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:2093–2096, 2016. © 2016 Wiley Periodicals, Inc.
Apalara T.A.,University of Hafr Al Batin
Acta Mathematica Scientia | Year: 2016
In this paper we consider one-dimensional Timoshenko system with linear frictional damping and a distributed delay acting on the displacement equation. Under suitable assumptions on the weight of the delay and the wave speeds, we establish the well-posedness of the system and show that the dissipation through the frictional damping is strong enough to uniformly stabilize the system even in the presence of delay. © 2016 Wuhan Institute of Physics and Mathematics.
Faiz M.M.U.,University of Hafr Al Batin |
Al-Mutairi M.S.,University of Hafr Al Batin
Proceedings of 2015 International Conference on Interactive Collaborative Learning, ICL 2015 | Year: 2015
In this paper, we have compared the achievements of educational institutions in Saudi Arabia in terms of ABET accredited programs and world university rankings. In other words, a brief survey of all ABET accredited programs at the associate, bachelor's, and master's degree level in Saudi universities and colleges is presented. Moreover, we have also compared the global rankings of Saudi universities over the last 6 years from 2009 to 2014, according to some of the most widely recognized international university ranking systems. Finally, we hope that our paper will be helpful in motivating educational institutions in the Arab world to continue to improve their performance in terms of accreditation and rankings both regionally and globally. © 2015 IEEE.