Showing posts with label analysis of variance. Show all posts
Showing posts with label analysis of variance. Show all posts

Thursday, 24 July 2025

Electrical Conductivity Analysis of Ground Water at Surrounding Areas of Dildar Nagar of U.P, India | Chapter 1 | New Horizons of Science, Technology and Culture Vol. 3

One of the essential requirements of human beings is water. It is very crucial for the survival of all human beings and animals. It is a single worldwide natural resource distributed in all land, sea and atmosphere and unified by the hydrological cycle. It is the most important factor in the life of an organism as it is the major constituent of the protoplasm, plants, animals, microorganisms and aquatic life, all need water for their existence. In plants, all physiological processes like respiration, photosynthesis, absorption of nutrients and other metabolic processes are influenced by the amount of water available. This study was conducted to measure the Electrical Conductivity of Groundwater in the surrounding areas of Dildar Nagar of U.P., India. The groundwater samples were collected from different locations in Dildar Nagar village, and their electrical conductivity was measured in the laboratory. The data was presented graphically and interpreted using the method called analysis of variance. From the findings and analysis, it is concluded that electric conductivity depends on areas as well as months.

 

Author(s) Details

Salahuddin
Department of Mathematics, AMET University, Kanathur, Chennai, Tamil Nadu, India.

 

E. Ravikumar
Department of Marine Engineering, AMET University, Kanathur, Chennai, Tamil Nadu, India.

 

 

Please see the book here:- https://doi.org/10.9734/bpi/nhstc/v3/5738

Wednesday, 12 March 2025

Quantifying Musical Element Recognition in Early Childhood: A Body Movement Analysis Approach | Chapter 9 | An Overview of Literature, Language and Education Research Vol. 7

It is widely viewed that music has the capacity to induce human body movements. Such movements range from small body parts action to full body dance. At the same time, music educators of early childhood children generally experience such movements evolve as children advance in the development stage of recognition of musical elements. Such progress is often perceived as consistent by expert educators, however, movement sophistication was hard to quantify. In this study, the author presents methods to objectively track the musical development of children by statistically processing data obtained from a 3D motion capture system. The author first, devised a four-phased Music Expression Bringing-up (MEB) program to enhance music recognition of children and devised associated the Music Test. The Music test consists of 6 areas in which each area includes 10 test items to evaluate recognition achievements based on the respective development phase. Secondly, the change in body movement in musical expression was quantitatively analyzed utilizing the MVN system as 3D motion capture by every phase of the MEB program during the practice for 3-year-old, 4-year-old and 5-year-old children. In motion capture study, 3-year-old (n=112), 4-year-old (n=94), and 5-year-old (n=111) children participated in each phase’s activity of MEB program from 2016 to 2019. Secondly, 4-year-old and 5-year-old children participated in the Music Test at the beginning of the first phase and the end of the fourth phase of MEB program practice. Thirdly, a quantitative analysis was carried out regarding both the data of body movement in musical expression and Music Test scores. As a result, applying such movement results of 4 and 5-year-old children at multiple development phases with MEB program results of relevant phases, a statistically significant relationship was attained in the analysis of variance and the relationship was depicted in Circular Affect. Results indicated as the activity phase progressed and the recognition of musical elements increased, characteristic changes in the movements of the right hand were observed, such as an increase in the moving average acceleration in the third phase of the MEB program. The integration of 3D motion capture with the MEB program provides a quantitative method for assessing musical element recognition in early childhood, offering educators a tool to track developmental progress through body movement analysis.

 

Author (s) Details

Mina Sano
Tokoha University, Shizuoka, Japan.

 

Please see the book here:- https://doi.org/10.9734/bpi/aoller/v7/3224

Thursday, 16 December 2021

Studies on Optimization of Tool Wear in Hard Turning of EN 24 Steel Using DoE and Verification through ANOVA and RSM | Chapter 15 | Novel Perspectives of Engineering Research Vol. 4

 This research shows how Multicoated hard metal inserts with sculptured rake face geometry may anticipate tool wear in hard turning of 817M40 (EN 24) steel material with 48 HRC on a conventional lathe. Tool wear becomes a significant factor in the surface quality of produced items with hard turning. In order to predict tool wear, an effort is made to combine cutting force, cutting temperature, and tool vibration (displacement) with cutting velocity, feed, and depth of cut. In this study, Taguchi L18 orthogonal array (mixed design) optimization was utilised to optimise various cutting parameters such as cutting velocity, feed, and depth of cut using Minitab software. Furthermore, the outcomes of the Design of Experiment are compared to the ANOVA Response Surface approach (RSM). Response surface methodology (RSM) and Analysis of Variance (ANOVA) yield results that are remarkably similar to those obtained by Design of Experiment (DoE).


Author(S) Details

G. Ragul
Department of Mechanical Engineering, Budge Budge Institute of Technology, Kolkata, India.

Pallab Roy
Department of Mechanical Engineering, Budge Budge Institute of Technology, Kolkata, India.

Arjit Ganguly
Mechatronics, Warsaw University of Technology, Poland.

Sandip Ghosh
Department of Mechanical Engineering, JIS College of Engineering, Kalyani, India.

S. Sankar
Department of Mechanical Engineering, Nehru College of Engineering & Research Centre, Kerala, India.

Abhijit Roy
Department of Mechanical Engineering, Budge Budge Institute of Technology, Kolkata, India.

View Book:- https://stm.bookpi.org/NPER-V4/article/view/5180