Open Access Original Research Article

Designing of Track Axis Alignment with the Use of Satellite Measurements and Particle Swarm Optimization

W. Koc, C. Specht, P. Chrostowski, K. Palikowska

Current Journal of Applied Science and Technology, Page 1-11
DOI: 10.9734/BJAST/2016/30999

Designing of the track’s alignment is a key issue from the point of view of maintaining of proper geometries. The paper presents a design method for sections of railway line located in the horizontal arch. The method is adapted to the technique of mobile satellite measurements. The general principles of this measurement method have been described in the article. A project's solution has been presented using mathematical notation in a form of the set of universal equations describing the whole geometrical layout which was analyzed. The design procedure lets to varying both the types and lengths of transition curves. Calculation algorithm has been implemented in Scilab environment and the basic features and functions of the algorithm has been presented. The implemented algorithm allows for generating various variants until the acceptation of main parameters of designed layouts. Moreover, the geometrical parameters could be determined in the process of multi-criteria optimization. Considering the process of alignment design, it has been assumed to achieve the highest possible trains speed together with the minimizing of the track dislocations. The optimization process is supported by the Particle Swarm Optimization algorithm (PSO). The presented method enables for relatively fast satellite measurements data processing as well as helps to reconstruct the model of a real route location. Therefore, this can be a basis for taking an appropriate action in modernization problems. A new concept of the designing of the track axis adjustment has been illustrated by a particular example of the calculations.

Open Access Original Research Article

Predictors of Customer Satisfaction and Loyalty in the Mobile Communication Industry in Ho Municipality, Ghana

Carlos Ankora , Francois Mahama, Noble Kuadey, Lily Bensah

Current Journal of Applied Science and Technology, Page 1-10
DOI: 10.9734/BJAST/2016/30426

Aims: The objective of this research was to find out whether subscribers are satisfied with services of the mobile network providers and identify the predictors of customer satisfaction and loyalty in the mobile communication industry and to develop model that links these satisfaction factors and loyalty for any customer in the industry.

Study Design:  Descriptive cross-sectional study design.

Place and Duration of Study: Ho Municipality in Volta Region, Ghana, between July 2016 and September 2016.

Methodology: We included sampled subscribers of the five mobile network operators (MTN, Vodafone, Tigo, Airtel and Glo) in the Ho Municipality. A total of 500 subscribers of the five mobile networks in the Municipality were selected for the research. The study employed a purposive sampling technique in selecting the subscribers located in various parts of the Ho Municipality in Volta Region, Ghana.

Results: Logistic regression analysis was used to identify the predictors of customer satisfaction and loyalty. Results show that quite a significant proportion of respondents were satisfied with the services provided by the network providers in Ho Municipality. Furthermore, the study revealed that five (5) factors; “X1 (Perceived service quality)”, “X3 (Wide network coverage)”, “X4 (Network quality or Signal strength)”, “X8 (Availability of high-speed internet service)” and “X12 (Perceived price fairness or Call/SMS Rate)” were significant to the prediction of customer satisfaction and loyalty with a predicted satisfaction and loyalty rate of 80.15%.

Conclusion: Mobile network providers should place a focus on delivering the best possible service quality as well as use advanced techniques to improve network quality and increase the network coverage to all areas in order to achieve better customer satisfaction and loyalty. Management of network providers should improve the service quality and make their services more economical so that customers can afford and have better value for money in using the service.

Open Access Original Research Article

A New Efficient Machine Learning Algorithm to Solve Facility Location Selection Problem of Geoinformatics

Ali Sever

Current Journal of Applied Science and Technology, Page 1-10
DOI: 10.9734/BJAST/2016/30676

The problem of selecting store locations has received increased attention in the literature during the past decade, and varieties of models have been promoted to select those sites. In this paper, we address the problem of finding the optimal deployment of site locations in a certain geographic area with a given wide range of factors affecting decision making. This problem is complex and should be tackled as a multiple-objective problem. The combination of several criteria in the selection of store location must be considered. It should be noted that facility location problems require knowledge of a key parameter, “aggregated degree of importance” (ADI) indicator. This is where the discrete inverse problems can help. In this article, we discuss existing models on this problem and sketch how inverse problems (IP) can be formulated to yield a smooth ADI indicator surface. The latter is very useful both in the accurate locating of facilities as well as in computing sensitivities. A computational analysis on a non-spatial and spatial data set describing the algorithm in the site selection problem illustrates the effectiveness of the approach. Application of the facility location model is demonstrated using an example of a drug store’s selection problem in a given area.

Open Access Original Research Article

Evaluating of Adapted Physical Education Services Offered for Students with Disabilities in Light of International Standards in the State of Kuwait from the Point of View of Teachers

Wafaa A. Aleid, Ibrahim A. El-Zraigat

Current Journal of Applied Science and Technology, Page 1-7
DOI: 10.9734/BJAST/2016/30989

The main purpose of the present study was to assess standards of adapted physical education services offered for students with disability in The State of Kuwait from the point of view of teachers. The sample of the study consisted of 25 teachers. A scale quality assurance standards of adapted physical education was developed and used. The reliability and validity of the scale were established. The investigators used ANOVA to answer the research questions. Inspection of the p-values compared to scheffe test show that the teachers were affected by international standards of adapted physical education according to the type of disability. The study recommended providing teachers with required training in order to meet the unique need of students with disabilities.

Open Access Original Research Article

Clustering the Attitudes towards Statistics and Technology among Medical Post Graduate Students

Azadeh Saki, Hamed Tabesh, Razieh Yousefi, Sanaz Khalili

Current Journal of Applied Science and Technology, Page 1-11
DOI: 10.9734/BJAST/2016/29673

Introduction: Rapid development of statistics and its application in various sciences along with the growing advances in data manipulation and representation with modern computer technologies accentuate the need for replacing traditional methods in statistics education with modern ones. This study is primarily concerned with measuring the psychometric properties of the Persian version of Students Attitudes toward Statistics and Technology Scale (SASTSc) to obtain a tool for assessing attitudes in educational settings.

Methods: The reliability analysis was undertaken on 192 medical students, 21 Ph.D. students and 171 M.Sc. students who passed or were taking vital statistics course at Ahwaz Jundi Shapour University of medical sciences. SASTSc was adapted based on internationally accepted guidelines for translation and cultural adaptation. The psychometric properties of the Persian version of SASTSc were analyzed using confirmatory factor analysis and internal consistency. To find the attitudes of participated, homogeneous groups were also identified using cluster analysis based on the principal components derived from factor analysis.

Findings: Most medical students showed positive attitudes to learning statistics by technology. The average score of five dimensions of the questionnaire was above 3, indicating students’ positive attitude toward using technology in teaching statistics. Confirmatory factor analysis validated the five-factor structure (statistics cognitive competence, technology cognitive competence, usefulness of technology in statistics, attitudes to the worth and usefulness of statistics and emotion concerning statistics). The comparative fit index was above the cutoff point of 0.80 (CFI=0.851) and the Non-Normed Fit Index was also acceptable (NNFI=0.74). The Root Mean-Square Error of Approximation (RMSEA) equaled 0.081, indicating that the model is a good fit. Cronbach’s α was 0.892 for the whole scale, confirming the scale’s reliability.       

Conclusion: The current research provides some evidence for appropriate metric properties of the Persian version of SASTSc. Confirmatory factor analysis validates the five-factor structure of the scale. SASTSc can be used as a valid and reliable tool to determine the opinions of the students in relation to learning statistics with technology in Iranian educational settings.

Open Access Original Research Article

Protection of J55 Steel Surface in Acidic Well Treatment Fluids Using Green Anticorrosive Oilfield Chemicals from 5-hydroxytryptophan

Ekemini Ituen, Onyewuchi Akaranta, Abosede James

Current Journal of Applied Science and Technology, Page 1-18
DOI: 10.9734/BJAST/2016/28836

A non-toxic compound, 5-hydroxytryptophan (5-HTP), was investigated for its performance as inhibitor of J55 steel corrosion in both 1M and 15% HCl for the first time. The efficiency was determined using Weight Loss (WL), Electrochemical Impedance Spectroscopy (EIS) and Potentiodynamic Polarization (PDP) techniques. Inhibition efficiency obtained from WL measurement decreased from 91.4% and 73.9% in 1 M and 15% HCl respectively at 30°C to 67.4% and 40.3% in the respective acid solutions at 90°C. Blending 5-HTP with potassium iodide, polyethyleneglycol and glutathione increased the efficiency to values above 72% in both acid solutions at 90°C. The inhibitor adsorption was spontaneous and physical in mechanism, following the Langmuir adsorption model. Adsorption was also exothermic with resultant decrease in entropy of the bulk solution. Increase in 5-HTP concentration increased the charge transfer resistance but decreased the double layer capacitance. Tafel polarization study shows that 5-HTP behaves as mixed type inhibitor with anodic predominance. The corrosion products and metal surface were analysed using other techniques like SEM/EDS, FTIR, UV-VIS. The surface protection is attributed to formation of protective film of 5-HTP molecules on J55 steel surface facilitated by O, N and C=C functionalities. The resulting oilfield chemicals can be used as efficient alternative corrosion inhibitors for protection of surface and downhole steel construction materials.

Open Access Original Research Article

A Study of Input Variable Selection to Artificial Neural Network for Predicting Hospital Inpatient Flows

Samira Rasouli, Hamed Tabesh, Kobra Etminani

Current Journal of Applied Science and Technology, Page 1-8
DOI: 10.9734/BJAST/2016/30987

Aims: Analysis of hospital processes has become a necessity to improve its performance over time through developing improved policies and decisions. In this context, the knowledge gained from an accurate prediction of patient flows would provide valuable information for strategic planning. This  study aims at exploring and evaluating the predictability of time-series artificial neural network (ANN) approach for hospital inpatient flow forecasting using the partial autocorrelation function (PACF) of time-series data to identify the relevant time lags of the series as ANN inputs. 

Methodology: We collected retrospective data of the number of monthly inpatient flows from 2004 to 2015 of four hospitals. We evaluated the application of the ANN model that uses extracted  PACFs from time series data to determine appropriate inputs for ANN. This approach was compared with the neural network auto-regression which automatically selects relevant lags. The performance of the ANN models was measured based on the mean absolute percentage error (MAPE) accuracy measure.

Results: We used the ANN models for predicting monthly inpatient flows for first three months of 2016. The post sample analysis revealed that the ANN model using selected input variables based on the PACF analysis offered improvements in monthly inpatient flows predictions than neural network auto-regression. Totally, for all four hospitals, the integrated model of PACF-ANN had a MAPE ranging from 2.91% to 6.67%, indicating an accurate prediction. 

Conclusion: The ANN model with inputs extracted from the PACF analysis performs well for estimation of hospital inpatient flows. According to the unique characteristics of different hospitals, performance of the ANN model can vary from hospital to hospital. However, the proposed method of selecting input variables for the ANN model in this study may assist other hospitals and emergency departments for forecasting purposes.

Open Access Original Research Article

Cancer Biomarkers Classification from SELDI-TOF Mass Spectrometry for Clinical Proteomics: An Approach of Dimensionality Reduction

Azween Abdullah, Ramachandran Ponnan

Current Journal of Applied Science and Technology, Page 1-12
DOI: 10.9734/BJAST/2016/30660

Cancer diagnosis from proteomic profiles has reformed the medical procedures in a significant manner with its enhanced accuracy rate as compared to other ultrasound imaging based process. Efficient classification of suitable cancer biomarkers from proteomic data helps in early diagnosis of cancerous diseases. Mass spectrometry (MS) with protein chip based technology such as the Surface Enhanced Laser Desorption and Ionization Time of Flight (SELDI-TOF) can be used for presence as well as absence of diseases by extracting protein spectra based on m/z ratio and intensity of the protein. For mass spectrometry, efficient and robust feature selection technique is required which can reduce the number of features as much as possible in less time and eliminates any irrelevant or redundant features which can affect the classification performance. This work incorporates an energy based dimensionality reduction for huge data to perform clustering ensemble binary classification of cancer and normal patterns by evaluating biomarker signatures at a higher rate of accuracy. The proposed approach has overcome existing issues especially feature selection based on their discriminatory power. The experimental results show that both SELDI-TOF data sets extracted from WCX2 and H4 chip can be classified with only two features at relatively higher rate with negligible false alarms.

Open Access Original Research Article

Comparative Evaluation of Fluoride Release from Three Glass Ionomer Cements – An in vitro Study

Suvidh Virmani, Mithra N. Hegde, Shishir Shetty, Vandana Sadananda

Current Journal of Applied Science and Technology, Page 1-6
DOI: 10.9734/BJAST/2016/26398

Aim: The study aimed to measure the amount of fluoride released from fluoride containing materials. Zirconia reinforced glass ionomer cement (Zirconomer, SHOFU INC), high density glass ionomer cement (KetacTM Molar, 3MTM ESPETM) and packable posterior glass ionomer restorative material (GC Fuji IX GP) were used in the study.

Methodology: Thirty samples of 2 mm length × 2 mm width × 2 mm height were prepared from each material using a custom made Teflon mould. The amount of fluoride released was measured after 7 hrs, 14 hrs, 24 hrs, 48 hrs, 5th day, 10th day, 15th day and 20th day of immersion in artificial saliva using Ion Specific Electrode (ELIT 9801). The results obtained were statistically analyzed using ANOVA and post hoc Tukey test.

Results: Ketac molar exhibited maximum release of fluoride followed by Zirconomer and Fuji IX. Significant statistical difference was observed in fluoride release of different materials after 14 hrs, 24 hrs, 5th, 10th and 20th day (p<0.05).

Conclusion: All materials used in the present study released fluoride, but a higher rate of fluoride release was observed in packable posterior glass ionomer material compared to zirconia reinforced glass ionomer material and high density glass ionomer material.

Open Access Review Article

Current and Future Water Resources for Agriculture in Qatar State

Hanan O. Ali, Hagga O. Mohamed, Yousef I. Hamar, Abdulaziz A. Al-Murikhi

Current Journal of Applied Science and Technology, Page 1-13
DOI: 10.9734/BJAST/2016/17881

The state of Qatar is a peninsular Arab country, as a small, hot and dry peninsula with an average rainfall of around 80 millimeters per annum, which is placed Qatar among countries of the lowest levels of rainfall in the world. There are no surface perennial streams in Qatar. Direct and indirect recharge from rainfall to the groundwater is the sole natural water resource in the country. The recharge takes place from the direct infiltration of heavy rainfall (>10 mm) through the fractures surrounding the water basins (watersheds) .Indirect recharge is the main recharge to groundwater  and it has a complicated mechanism which comprises run-off from surrounding catchments, ponding in depressions, evaporation from water surfaces and percolation of the remainder after the soil deficit has been satisfied.

The groundwater is considered the main natural water resource available for agriculture in Qatar; about 99% of the abstracted groundwater is used for irrigation. This continuous abstraction from groundwater leads to quality and quantity deterioration in the groundwater table and several production wells.

In 2007 the government has issued the ministerial decree No. 20 on “Rationalizing the use of groundwater and preventing its deterioration”  the decree banned the digging of new production wells to prevent this over extraction, in 2008 the Qatari government set its goals to protect and sustain its natural environment. The decree was amended and a proposed banning of the existing wells in the specific areas under a groundwater salinity of less than 2000 ppm for irrigating fodder crops, this amendment is intended to be a short-term solution till the issuance of the National Water Act.

This paper aims to review the current situation of water consumption for agricultural production and suggesting alternative water resources (Treated Sewage Effluent TSE with upgraded water quality) to comply with the decree No. 20. Gathering the available information and secondary data about TSE; agricultural production and environmental protection from governmental authorities and analyzed and presented in this paper.

The current total agricultural irrigated area, and water demand (excluding TSE) in the State of Qatar are 10,388 ha and 238 mcm respectively.

The Public Works Authority (PWA) has 3 main wastewater treatment plants plus other minor treatment plants that produced 634,860 m3 day-1 in 2013, amount of 196,445 m3 day-1 is in use for Roads and Expressways Irrigation, Local Landscaping Irrigation, Private Irrigation, Cooling, Industry (General) and Sand Washing. The remaining TSE volume 438,415 m3 day-1 (50.4 million cubic meter), can be used for agricultural production after upgrading Treated Sewage Works (TSW) treatment plants to quadratic treatment using Reverse Osmosis (R.Os) which will cover about 21.3% of current agriculture water requirements. If all of the reaming volume of TSE will be available for Agriculture then above 95% percent of water demand by 2020 for agriculture will be covered.