The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 32-651
Full Name: Ahmed Alnuaimy
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Department of Electrical, Electronic & Systems Engineering, Faculty of Engineering & Built Environment, National University of Malaysia, UKM, 43600 UKM Bangi Selangor Darul Ehsan
Country: MALAYSIA
Tel: 0060172089462
Tel prefix:
Fax:
E-mail address: ahmed_alnuaimy@yahoo.com
Other E-mails: ahm_com@eng.ukm.my
Title of the Paper: An Improve Method for Successive Data Schism and Interpolation
Authors as they appear in the Paper: AHMED N. H. ALNUAIMY, MAHAMOD ISMAIL Member, IEEE, MOHD A. M. ALI Member, IEEE, and KASMIRAN JUMARI, Member, IEEE
Email addresses of all the authors: ahmed_alnuaimy@yahoo.com, mahamod@eng.ukm.my, mama@ eng.ukm.my, kbj@eng.ukm.my
Number of paper pages: 11
Abstract: Abstract: - This paper presents an improved type of data schism and interpolation called Alnuaimy-Mahamod Interpolation based on the mean and variance to calculate the entire point between two known points. A new mathematical method is developed for interpolation from a given set of data points in a plane and for fitting a smooth curve to the points. This method is devised in such a way that the resultant curve will pass through the given points and will appear smooth and natural. Data schism and interpolation describes the behaviors of the calculated points which behave as bacteria reproduction. This type of interpolation based on calculation of the mean and the variance of two adjacent points and modify of these calculate values by named factors to be used to calculate the entire points. Our type of interpolation can be working as linear midpoint interpolation, linear interpolation and smooth curve fitting.
Keywords: Key-Words: - Interpolation, midpoint interpolation, linear interpolation and smooth curve fitting.
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress: National University of Malaysia, UKM, 43600 UKM Bangi Selangor Darul Ehsan
IP ADDRESS: 202.185.32.240