Volume 67 | Issue 9 | Year 2021 | Article Id. IJMTT-V67I9P506 | DOI : https://doi.org/10.14445/22315373/IJMTT-V67I9P506
Engineering outcome in operations, experimentation, characterization and performance in machining applications are usually in different forms of trends. The trends vary with conditions. Data analysis is pivotal in modeling the various trends that is primarily linear or non linear. The models enable the engineer to identify the characteristic of a particular system. In this work several examples have been developed based on different trend pattern in relation to supply and demand output prediction including mechanical, physical and electrical processes. Models enable engineers and researchers to carry out predicting and controlling functions base on previously conducted experiment and observation. The validity of models is dependent on minimal level of existing errors. Modeling approach can help in scrutinizing complex and bogus system at ease with the aid of computer programming. The applications of models in software development bring about the reduction in storage requirement, due to the fact that parameters are generated mathematically.
[1] Bird J., Higher Engineering Mathematics 3rd ed. Oxford, London: Newnes Publisher (2002).
[2] Ejiko, S. O. , Development of a Dual Axis Tracker, A paper presented at the 10th Engineering Forum, School of Engineering, The Federal Polytechnic, Ado-Ekiti, on 23rd – 26th October, 2015 at The Polytechnic Conference Centre, Ado-Ekiti, Ekiti State. 2 (2015) 173-184
[3] Ejiko, S.O, Adelegun, G.O and Dirisu, N.O, Development and Performance Evaluation of a Wear Testing Machine, Journal of Engineering & earth Sciences (JEES), 4(2) (2010) 6-11.
[4] Ejiko S. O., Akinwamide J.T. and Oladebeye D. H., Evaluation of Ado-Ekiti Metropolis Sandy Soil Compressive Strength Using Developed Hyperbolic Regression Model”, Journal of Engineering & Earth Sciences (JEES), 13(1) (2020a) 108-115.
[5] Ejiko S. O., Filani A. O., Onibon G. L. and Olakolegan O. D. (2020b) Carbohydrate based Optimization Model Development for Biogas Production using Tripartite Mixture of Cowdung, Pigdung and Poultry Droping, World Journal of Engineering Research and Technology (WJERT) 6(3) (2020b) 178-200.
[6] Ejiko, S.O. and Kareem, B., Holistic Approached in Determining Multiple Regression Model for Lathe’s Operation Sensitivity”, International Journal of Research and Advancement in Engineering Science, Centre for Advanced Training and Research in association with MPYRAA Tiko, Buea, South West Region, Cameroon, ISSN 2276-8149, 2(1) (2012) 89 -98.
[7] Ejiko, S.O., Igbasanmi, O. E. and Oigbochie, D. (2015), Predicting Future Sales Output of 7up Bottling Company Plc Depot Using Least Square Model, A paper presented at the 10th Engineering Forum , School of Eng’g, The Federal Polytechnic, Ado-Ekiti, on 23rd – 26th Oct., 2015, 1(2015) 159-165
[8] Ejiko S. O., Ogunlowo M. and Ukachi P. A., Overview of Solar Tracking Device and Development of Light Positioning Detector, World Journal of Engineering Research and Technology (WJERT), 6(3) (2020) 46-64.
[9] Ejiko, S.O., Oke P. K., Titiladunayo I. F. and Ogedengbe T. I., Development of Solar Azimuth and Altitude Predictive Models (A Case Study of Ado-Ekiti), SEEM Research and Development Journal, The Federal Polytechnic, Ado-Ekiti, Ekiti State Nigeria, 4(1) (2015) 116-128
[10] Ejiko, S.O., Oke P. K., Titiladunayo I. F. and Ogedengbe T. I, Application of Mathematical Models and Sensors for Optimization of Solar Energy Collection Using a Developed Tracking Device”, International Journal of Scientific Engineering and Science http://ijses.com, 3(1) (2019) 22-30, ISSN : 2456-736.
[11] Ejiko, S. O. and Olaniyi, D. Development of Regression Models for Appropriate Battery Banking Determination in Solar Power System, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) ISSN: 2320-3331, 13(1) (2018) Ver. III 30-37 www.iosrjournals.org
[12] Jigsawacadeny, 25 Most Popular Data Analytics Tools to Know in 2021 (2021), https://www.jigsawacademy.com/10-most-popular-analytic-tool
[13] Kareem, B, and Ejiko, S.O., Machine Lathe Operational Sensitivity, Time and Cost, SEEM Research and Development Journal, The Federal Polytechnic, Ado-Ekiti, Ekiti State Nigeria, ISSN: 2350-2061, 2(1) (2013) 72 -80
[14] Michael B. (2021) Data Models Have many Benefits” retrieved from https://www.dadaversity.net/data-models
[15] Oladebeye D.H. and Ejiko, S.O, Predicting Future Sales Volume using Selected Forecasting Models(A Case Study of Peugeot406 Nigeria Plant), International Journal of Sciences, Engineering &Environmental Technology (IJOSEET),2nd Edition, (2007) 186 -193.
[16] Oladebeye D.H. and Ejiko, S.O, Development of Fourier Series Forecasting Model For predicting the Sales Volume of Selected Company, International Institute for Science, Technology and Education, www.iiste.org ISSN: 2224-6069, 5(1) (2015) 22 -40.
[17] Oladebeye D. H., Ejiko S. O. and Eta M., Matlab Modeling of Robotic Manipulative Movement For Effective Welding Performance And Process Automation, Journal of Engineering & Earth Sciences (JEES), 13(1) (2020) 122-130.
[18] Olubayode S. A. and Akinwamide J. T., Investigation into the Suitability of Sandy Soil Found within Ado-Ekiti Metropolis for Sandcrete Block Production in South Western, Nigeria, International Journal of Engineering Innovation & Research, 4(4) (2014) 654-658
Samuel Omojola Ejiko, Success Omodara Ejiko, Abidemi Oreoluwa Filani, "Mathematical Modeling: A Useful Tool For Engineering Research And Practice," International Journal of Mathematics Trends and Technology (IJMTT), vol. 67, no. 9, pp. 50-64, 2021. Crossref, https://doi.org/10.14445/22315373/IJMTT-V67I9P506