Notice Board :

Call for Paper
Vol. 5 Issue 10

Submission Start Date:
Oct 01, 2024

Acceptence Notification Start:
Oct 10, 2024

Submission End:
Oct 25, 2024

Final MenuScript Due:
Oct 30, 2024

Publication Date:
Oct 30, 2024
                         Notice Board: Call for PaperVol. 5 Issue 10      Submission Start Date: Oct 01, 2024      Acceptence Notification Start: Oct 10, 2024      Submission End: Oct 25, 2024      Final MenuScript Due: Oct 30, 2024      Publication Date: Oct 30, 2024




Volume IV Issue XII

Author Name
Niraj Kumar, S. S Pawar, Ritesh Khaterkar
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 12
Abstract
plate fin heat exchanger is a type of heat exchanger design that uses plates and finned chambers to transfer heat between liquids. It is often classified as a compact heat exchanger to emphasize the relatively high ratio between the heat transfer surface and the volume. The main objective of the present work is to configure a optimum design of plate fin tube heat exchanger using Computational fluid dynamic approach and maximizing thermal performance. There are total five designs of plate fin and tube heat exchanger are used in present work and CFD analysis have been performed in it to get maximum heat transfer. It has been observed from CFD analysis that the maximum heat transfer can be achieved from plate fin and tube heat exchanger with elliptical tube arrangement inclined at 30o with 23.22% more heat transfer capacity as compared to circular tube plate fin heat exchanger. So that it is recommended that if the plate fins and tube heat exchanger with inclined elliptical tube used in p
PaperID
2023/IJEASM/4/2023/1931

Author Name
Deepti Yadav, Megha Kamble
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 12
Abstract
With the rapid advancement of technology, smart agriculture has emerged as a promising solution to address various challenges in traditional farming practices. One critical aspect of smart agriculture is pest control, which significantly impacts crop yield and quality. This paper presents a comprehensive survey on smart agriculture pest controlling systems, aiming to analyse existing technologies, methodologies, and trends in this domain. The survey encompasses various aspects including sensor-based monitoring, data analytics, decision support systems, and precision application techniques. Furthermore, it examines the integration of Internet of Things (IoT), machine learning, and remote sensing techniques in pest management practices. By synthesizing insights from a wide range of research studies and commercial applications, this survey provides valuable insights for researchers, practitioners, and farmers to understand the current landscape and future directions of smart agriculture p
PaperID
2023/IJEASM/4/2023/1931b

Author Name
Sunil Kumar, Arun Kumar Tyagi
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 12
Abstract
In the realm of tennis, the backhand stroke stands as a cornerstone, demanding a nuanced blend of power, precision, and command. Within this domain, two prevailing stances, square and open, have risen to prominence, each laden with distinctive biomechanical nuances and repercussions for performance. This exploration undertakes a dynamic deconstruction of the biomechanics inherent in these stances, with the overarching objectives of delineating their respective strengths and weaknesses, unraveling the biomechanical determinants influencing power, accuracy, and consistency in the backhand, and furnishing evidence-based insights for players and coaches to refine their backhand technique. The square stance, characterized by a frontal orientation of the shoulders towards the net, establishes a robust foundation for power generation. However, it introduces heightened ground reaction forces, potentially influencing joint loading and injury susceptibility. Simultaneously, it begets greater hip
PaperID
2023/IJEASM/4/2023/1932

Author Name
Pragati Mishra, Chetan Agrawal, Divya Envey
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 12
Abstract
Sentiment Analysis (SA), also known as Opinion Mining (OM), is the field of study that deals with the computational treatment of opinions, sentiments, and subjectivity expressed in text. It has gained significant traction in recent years due to the ever-increasing volume of user-generated content available online. SA techniques are employed in a wide range of applications, including social media monitoring, product reviews analysis, and customer feedback evaluation. Machine learning algorithms play a crucial role in SA, providing effective methods for extracting and classifying sentiment from text data. In this Survey we tried to present the broad impression of current and precedent study on sentiment analysis and present admirable research queries and methods for future research.
PaperID
2023/IJEASM/4/2023/1932a