Design and Empirical Exploration for Second Trimester Period using Markov Process
K. M. Mancy1, C. Vijayalakshmi2
1Mancy K. M.*, Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai, India.
2Vijayalakshmi C.*, Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai, India.
Manuscript received on January 01, 2020. | Revised Manuscript received on January 20, 2020. | Manuscript published on January 30, 2020. | PP: 3283-3285 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6433018520/2020©BEIESP | DOI: 10.35940/ijrte.E6433.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research investigates the conditioned level in the mid-gestation period using stochastic model such as Markov process which requires the Monte Carlo simulation to get the intended results. The simulation in fetal stages addresses the influence of possible risk factor in different levels. The abnormal conditioned in mid-pregnancy that affects the behavioral randomness of the fetal development. The equation of the data implement through the Monte Carlo equation. Empirical Analysis has showed in the behavioral changes of fetal development during mid-gestation.
Keywords: Gestation, , mathematical model , Pregnancy, Stochastic processes.
Scope of the Article: Manufacturing Processes.