Volume 4, Issue 10, November 2013
A Rule-Based Natural Language Interface to Data Warehouse
Saliha Zahoor and Fiaz Majeed
Department of Computer Science, University of Gujrat (UOG), Gujrat, Pakistan
Department of Information Technology, University of Gujrat (UOG), Gujrat, Pakistan
Abstract– Data Warehouse Systems are used for decision-making. It is difficult task for casual users to write their request in technical language because they may not have knowledge of technical structure of Database or Data Warehouse. Writing questions in user’s natural languages are easy. In this work, a Natural Language Interface to Data Warehouse has been presented. A set of rules are going to be proposed to understand accurate aggregations in user input natural language question. With the help of rules, the aggregation elements are precisely identified from the user query. Finally, empirical analysis has been carried out to evaluate the proposed system. With the help of this mechanism, system can easily find the aggregate elements from the user input query.
Keywords— Natural Language Interface, Aggregate functions, Data Dictionary, Data Warehouse and Mapping Rules
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Reduction of Sub-Synchronous Resonance using Artificial Neural Network
Zahra Amini and Abbas Kargar
Department of Power Engineering, Shahrekord University of Technology, Shahrekord, Iran
Abstract– When a turbine-generator is connected to a long transmission line may produce side effects such as SSR phenomena that arise. The goal is to use the capabilities of the Series Compensator (DSSC) as a member of the family of D-FACTS is to reduce the SSR . Controller to achieve the desired objective artificial neural network is used. Through simulation and study the system stability in the time domain performance index (PI) based on power system dynamics is considered. The simulation results using Matlab/Simulink have been shown that a neural network can reduce these fluctuations.
Keywords— Equipment FACTS, Neural Network and Sub-Synchronous Resonance (SSR)
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Adsorption of Ethylacetate from Ethyl Acetate – Water Mixture using Activated Clay
N.V. Ohaa, P.k. Igbokwe, I.A. Obiora-Okafo, E.M. Ejikeme and R.M. Government
Department of Chemical Engineering, Faculty of Engineering, Nnamdi Azikiwe University, Awka, Nigeria
Abstract– The adsorption capacity of activated clay produced from ukpor clay on ethyl acetate-water mixture has been investigated. The activated clay was prepared using thermal activation by heating the ukpor clay in the absence of air using a muffle furnace at 200oC, 350oC, 500oC, 600oC for 30, 60, 90,120 minutes respectively. The effect of three factors; temperature of activation, process duration and particle size were carried out using the Analysis of Variance. The optimum conditions were activation of the ukpor clay at 600oC for 90mins. The ash content, iodine number, pH, bulk density and moisture content produced at these condition were 1%, 68.528, 4.80, 1.43mg/ml and 20%, respectively. The adsorptive capacity of the adsorbent was tested using Langmuir and Freundlich isotherm. It was noted that the data fitted better in the Linearized Langmuir adsorption isotherm.
Keywords— Adsorption, Activated Carbon, Sawdust, Ethyl Acetate and Adsorption Isotherms
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Herding Behaviour before and after the Tunisian Revolution
BEN MRAD DOUAGI Fatma Wyème and CHAOUACHI Olfa
Department of Finance and Accounting, Faculté des Sciences Economiques et de Gestion de Tunis, University of Tunis El Manar, B.P 248 El Manar II, 2092, Tunis, Tunisie
Abstract– In this paper, we examine the presence of herding behaviour of market participants in the Tunisian Stock Exchange (TSE) using daily data before and after the Tunisian revolution. Applying the methodology of Christie and Huang (1995), we report no evidence of herding behaviour in the TSE before and after the Tunisian revolution. We find that equity return dispersions tend to increase rather than decrease during periods of extreme market movements. Moreover, using the methodology of Chang et al. (2000), we document that investors do not exhibit herding before the Tunisian revolution. However, we find evidence of a weak herding behaviour after the Tunisian revolution.
Keywords— Herding Behavior, Tunisian Revolution and Tunisian Stock Exchange
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Modeling and Statistical Analysis of Ultimate Tensile Strength OF LDPE/Groundnut Shell Flour Composites
R. M. Government, O.D. Onukwuli, C.U. Atuanya, I.A. Obiora-Okafo, S.O. Aliozo and N.V. Ohaa
Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
Abstract– This paper presents modeling and statistical analysis of ultimate tensile strength of LDPE/Groundnut shell flour composites. A two-series factorial model which shows that the ultimate tensile strength of Groundnut shell flour-Low density polyethylene composites can be predicted by substituting particle size and filler content .This model was formulated using experimental data in this research and with the aid of software C-NIKBRAN DATA analytical memory. The formulated model was validated using deviational and statistical Analysis. The maximum deviation (from experimental results) evaluated from the Model was 2.41 %.This gave confidence level of 97.59 %. The correlations between particle size and UTS for the Model as obtained were 0.948 and 0.978 as obtained from experiment and derived model respectively. Similarly, correlation between filler content and UTS for the same model also gave 0.989 and 0.981 as obtained from experiment and derived model respectively. Based on the foregoing, it is strongly believed that the proximity of deviation and correlations from experiment and model-predicted results are indicative of the model validity.
Keywords— Analysis, Ultimate Tensile Strength, Results and Groundnut Shell Flour
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Finding Ways to Help Students at Debremarkos College of Teachers Education
Atalay Mesfin Anteneh
Department of Aesthetics and Physical Education, Debremarkos, Ethiopia
Abstract– The primary objective of this study was to draw mechanisms which have used to improve music student’s piano performing skills and sound identification. The problem that faces on the students was lack of practice because of having lack of piano in their class. In order to solve the existing problem the researcher have used three different mechanisms i.e., preparing handmade piano, adjusting their mobile to rehearse the sound with the position of their finger, adjusting additional class out of their credit hour and using computer rocket system was the main solution used to develop students skill of piano playing and sound identification. The following results was found due to my intervention i.e., increase sound identification abilities per two tetra chord and put press their finger position on piano. The results were evaluated by using tables’ observations when they perform piano and using photograph to cheek changes in their finger position and analyze their change by using tables.
Keywords— Finger Practice, Sound Identification, Artificial Piano, Mobile and Rocket System
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Uptake of Ethylacetate from Ethylacetate – Water Mixture Using Activated Carbon
N.V. Ohaa, P.k. Igbokwe, I.A. Obiora-Okafo and R.M. Government
Department of Chemical Engineering, Faculty of Engineering, NnamdiAzikiwe University Awka, Nigeria
Abstract– The adsorption capacity of activated carbon produced from hardwood sawdust on ethyl acetate-water has been investigated. The activated carbon was prepared using thermal activation by heating the hardwood sawdust in the absence of air using a muffle furnace at 200oC, 350oC, 500oC, 600oC for 30, 60, 90,120 minutes. The effect of three factors; temperature of activation, process duration and particle size were carried out using the Analysis of Variance. The optimum conditions were activation of the hardwood sawdust at 500oC for 60mins. The ash content, iodine number, pH, bulk density and moisture content produced at these condition were 3%, 76.143, 4.75, 0.42mg/ml and 10%for the wood Saw dust. The adsorptive capacity of the adsorbent was tested using Langmuir and Freundlich isotherm. It was noted that the data fitted better in the Linearized Langmuir adsorption isotherm.
Keywords— Adsorption, Activated carbon, Sawdust, Ethylacetate and Adsorption Isotherms
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