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Effect of Temperature, Time and Atmospheric Condition on Active Silica Extraction from Corn Cob Ash
Seun Samuel Owoeye, Babatunde Oji, Jide Aderiye

This research investigates the amount of active silica that can be obtained from corn cob ash (CCA) under different temperatures, time, and atmospheric condition. The as-received corn cob was first washed to remove dirt and other earthen particles associated with it, sun-dried for 48hrs and later oven dried for 3hrs at 110°C. The dried corn cob was then burnt in air inside a perforated metal basin to obtain corn cob ash (CCA) which was later subjected to thermal treatment in an oven at different temperatures of 700°C, 600°C, 500°C, 400°C, and 300°C for 6hrs, 5hrs, 4hrs, 3hrs, and 2hrs respectively under reduced and oxidized atmospheric condition. Each sample was then analyzed using Atomic Absorption Spectrometer (AAS) to determine the percentage of active silica present.
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Efficient Rule Set Generation using K-Map & Rough Set Theory (RST)
Durgesh Srivastava, Shalini Batra, Sweta Bhalothia

With the enormous growth of data especially large size data sets, mixed types of data, uncertainty, incompleteness, data change, use of background knowledge, etc. the inconsistence of databases is growing many fold. Many a times the information system may contain a certain amount of redundancy that will not assist in any knowledge discovery and may in fact mislead the process. One of the methods which can be used to deal with these issues is the Rough Set Theory (RST), a mathematical tool used to deal with imperfect knowledge and discover pattern hidden in data. RST deals with uncertainty and vagueness, without any requirement of additional information about data, allowing generation of the sets of decision rules from data. The redundant attributes may be eliminated in order to generate the reduct set or to construct the core of the attribute set. This paper proposes a new approach; Karnaugh map for the reduction of attributes and then uses rough set theory to generate rules.
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The Effect of Film Thickness on Coated Glass Response under Spherical Impact
Dae Sik Jung, Kook Chan Ahn and Bong Hwan Kim

Impact on coated system like exterior window film for screen protection and outside weatherable film caused by a foreign object can create internal damage that reduces the strength of the structure significantly. The effect of film thickness on the monolithic glass coated exterior window film is studied by the use of the coded finite element program. To model and predict the impact response of both the monolithic and coated glasses, an approach based on the Sun's higher-order beam finite element and Kurapati's generalized power law is proposed. The impact responses such as the time histories of contact force, deflection, impact energy, ball velocity and variation of stress through the thickness regarding change of film thickness of coated glass are compared with each other between the monolithic and coated glass system with the same total glass thickness. Consequently, it may be concluded that the existence of the film between the monolithic and coated system has significant effect on impact responses but the variation of the film thickness in coated system does not affect so much.
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Volume 5, Issue 1 
(January 2018)

Submission: 15 December 2017
Publication: January 2018


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