Volume 7 Issue 8 (August 2020) https://www.ijeas.orgOpen Access international Journal to publish research paperen-usAugust 2020Impact of Microgravity Environment on Body Mass: Case Study of Lizards
Studies of animal behavior on spaceflight had shown that animals could survive trips away from the earth. This study examined the impact of microgravity environment on the body mass of lizards. Data was collected from the experiment conducted at the Microgravity Simulations Laboratory of the Engineering and Space Systems (ESS) Department, National Space Research and Development Agency (NASRDA), Abuja, Nigeria. A 2D clinostat was used as the microgravity simulations device. Three lizards were used for this experiment sample A and sample B with body mass 7.5g and 8.0g respectively were impacted with simulated microgravity, while sample C (control) of body mass 7.2g was under normal earth gravitational influence. The data collected of their body masses after a period of observation was analyzed using regression analysis with other mathematical analyses. Resorptions were discovered in the body mass of samples A and B. Resorption increased as the period of microgravity simulations increased and lizard B being heavier than lizard A in body mass (equivalent to bone mass) had slower rate of resorption. The rate at which bone and muscles (body) mass declined under simulated microgravity was inversely proportional to the body mass. The non-linear curve therefore provides the most accurate and realistic comparative analysis for sample A and B as it gave realistic evidence that the sample A lizard had more body mass loss than lizard of sample B. The angle of rotation of the femur at midstance increased as the period of flight increased due to decrease in body mass. The decline in body mass of lizard samples A and B was more than lizard sample C, because sample A and sample B were under the influence of microgravity. Following non-linear body mass loss, it was agreed that the control lizard had little or no evidence of body mass loss since the non-linear curve is approximately parallel to the horizontal axis. Homeostatic stage was attained with sample A and sample B, with sample A 4.3g at t (2) and sample B with 4.5g at t (3) i.e. the lizard of greater body mass attained homeostatic stage later than the smaller body mass and that the linear regression analysis gave no indication of homeostatic, but the non-linear regression indicated homeostatic.
https://www.ijeas.org/volume-7-issue-8Paul O. Jaiyeola, Funmilola A. Oluwafemi, Augustine O. Otum, Oladunjoye S. Tomori, Irene E. Bemibo, Abdullahi Ayegbahttps://www.ijeas.org/download_data/IJEAS0708003.pdfRainfall Amount Prediction for the year 2020 for Vidarbha
For predicting the rainfall amount for the year 2020 for Monsoon months for Vidarbha, four independent methods have been used and the predicted value is equal to the average of these four values. The four methods are: (1) the Time Series method, (2) the Root Mean Square (RMS) value based month-wise by carrying out the linear regression, (3) the Fast Fourier Transform (FFT) method and Artificial Neural Network (ANN) method where the weights are determined based on records going back to 1872.
The predicted amount of the rainfall this Monsoon season will be slightly above the average of past 32 years. This should be good for farmers waiting for good rain as well as replenishing the underground water reserves, other water storage facilities, and hydro-power.
https://www.ijeas.org/volume-7-issue-8ANAND M. SHARANhttps://www.ijeas.org/download_data/IJEAS0708005.pdfDesign and some experimental results of the position control system of Bipolar Permanent Magnet Stepper Motors based on Adaptive Nonlinear Backstepping technique combining with Adaptive Fuzzy Logic
Nowadays, stepper motors are widely used in industry in general and in CNC machines in particular because of their low price due to the large number of products manufactured and the ability to control velocity and position via open regulator circuits. However, due to the nonlinearity of this type of motor along with changes in its parameters during operation, the use of open regulator circuit for this motor type causes errors in speed adjustment as well as position adjustment of the motor. To overcome the above disadvantages, the paper offers a closed control circuit based on the Field oriented control for this type of motor, and uses Backstepping technique based non-linear adaptive control method combining with Adaptive Fuzzy logic technique to improve the position control quality of Bipolar Permanent Magnet Stepping Motor. The proposed position control system is experimented on the DSP based experimental system, which uses DSP TMS 320F2812. The experimental results show that, the performance of the proposed position control system has high accuracy, that meets the commands of the high precision CNC machines in industry.
https://www.ijeas.org/volume-7-issue-8Cao Xuan Tuyen, Nguyen Thi Huonghttps://www.ijeas.org/download_data/IJEAS0708009.pdf