International Journal of Engineering Applied Science and Management

ISSN (Online): 2582-6948


Notice Board :

Call for Paper
Vol. 5 Issue 7

Submission Start Date:
July 01, 2024

Acceptence Notification Start:
July 10, 2024

Submission End:
July 25, 2024

Final MenuScript Due:
July 31, 2024

Publication Date:
July 31, 2024
                         Notice Board: Call for PaperVol. 5 Issue 7      Submission Start Date: July 01, 2024      Acceptence Notification Start: July 10, 2024      Submission End: July 25, 2024      Final MenuScript Due: July 31, 2024      Publication Date: July 31, 2024




Volume IV Issue XI

Paper Title
Analysis of Fracture Behavior in Self Compacting Concrete Incorporating Chopped Fibers
Author Name
Sunil Kisanrao Bhagat, Yamini Rai
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 11
Abstract
Fiber reinforced concrete (FRC) is widely practiced with high ductility and sufficient durability. In this study, the properties of the volume fraction and length of steelfiber (SF) on the mechanical properties of FRC were analyzed. This paper provides result data of the compressive strength, and split tensile strength, flexural strength of steel fiber reinforced concrete. The variables in this study the percentage of volume fraction (0, 1.0, 1.5, 2, 2.5 & 3) of steel fibersby weight of total weight of concrete. For compression test, a result data obtained has been analyzed and related with a control specimen (0% fiber). A relationship between Compressive strength vs. fiber volume fraction and tensile strength vs. fiber volume fraction & flexural strength vs. fiber volume fraction of steel fiber are represented graphically. The addition of fiber enhanced the ductility significantly. Result data clearly shows a small increase in compressive strength for M30 Grade of concrete due to addi
PaperID
2023/IJEASM/4/2023/1911

Paper Title
Chronic Diseases Classification through Machine Learning Algorithms: A Survey
Author Name
Jyotika Shrivastava, Chetan Agrawal, Rashi Yadav
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 11
Abstract
Chronic diseases pose a significant global health burden, with early detection and diagnosis crucial for improved patient outcomes. Traditional diagnostic methods often rely on subjective clinical assessments and invasive procedures, limiting their accessibility and timeliness. Machine learning (ML) algorithms offer a promising approach to chronic disease classification, enabling the analysis of large datasets of patient data to identify patterns that aid in early disease detection. This survey delves into the application of ML algorithms for chronic disease classification, exploring the diverse techniques employed by researchers and their associated accuracy levels. The role of feature selection and independent variable selection in enhancing algorithm performance is emphasized, highlighting the importance of selecting the most relevant features from the data. Additionally, the study underscores the benefits of combining multiple algorithms to achieve superior accuracy compared to sin
PaperID
2023/IJEASM/4/2023/1911a

Paper Title
Design of a High Efficiency Wireless Power Transfer System for Electrical vehicle battery charging system using DSMPI controller
Author Name
Srideo, Amit Shrivastava
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 11
Abstract
In this paper a wireless power transfer system for electric vehicle battery charging is proposed. The battery charging takes place through high frequency transformer fed from single phase AC input power supply. The AC power supply is converter to DC using DBR and the DC voltage is controlled using PFC Zeta converter for maintaining the power factor of the input source. In order to improve the power transfer efficiency. The resonant tank of the proposed system is designed to operate the converter as a current source and as a voltage source at two different frequencies to implement the constant current (CC) mode charge and constant voltage (CV) charge, respectively. Both the CC and CV modes adopt PI controller for controlling the duty ratio of the switches in the primary side of the high frequency transformer. The control on the duty ratio of these switches controls the output voltage at the terminals of the battery henceforth controlling the charging battery current. The PI controller i
PaperID
2023/IJEASM/4/2023/1912

Paper Title
Survey on Breast Cancer Disease Detection
Author Name
Manish Yadav, Gourav Shrivastava
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 11
Abstract
One of the leading causes of death for women in developing nations is breast cancer. For good results, early detection and treatment are essential. Breast cancer is thought to be the primary cause of death for women and arises from breast cells. There are two subtypes of this disease: ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC). More precise and dependable models for the diagnosis and treatment of this illness have been developed thanks to developments in artificial intelligence (AI) and machine learning (ML) methodologies. It's clear from the literature that using convolutional neural networks (CNNs) in conjunction with magnetic resonance imaging (MRI) can help prevent and detect breast cancer. Using the Breast Cancer dataset, this study looks at six different categorization models for breast cancer classification. The Python scikit-learn package is used for feature selection, and the Standard Scaler module is used for data processing.
PaperID
2023/IJEASM/4/2023/1912a