Engineering Universe For Scientific Research And Management Beta

ISSN (Online): 2319-3069
(International Journal)






Notice Board :

Call for Paper
Vol. 16 Issue 4

Submission Start Date:
April 01, 2024

Acceptence Notification Start:
April 10, 2024

Submission End:
April 25, 2024

Final MenuScript Due:
April 30, 2024

Publication Date:
April 30, 2024
                         Notice Board: Call for PaperVol. 16 Issue 4      Submission Start Date: April 01, 2024      Acceptence Notification Start: April 10, 2024      Submission End: April 25, 2024      Final MenuScript Due: April 30, 2024      Publication Date: April 30, 2024




Volume XV Issue II

Paper Title
A Review on a Wide Input and Output Voltage Range Battery Charger Using Buck-Boost Power Factor Correction Converter
Author Name
Vishwajeet Kumar, Deepak Pandey, Vasant Acharya
Year Of Publication
2023
Volume and Issue
Volume 15 Issue 2
Abstract
The Electric Vehicles (EVs) primarily is the process by which the charging of the batteries should be done and secondly the growing appeal of power required due to the quick demand of electric power necessitated by EVs, Hybrid Electric Vehicles (HEVs) and Plug-in Hybrid Electric Vehicles (PHEVs). There has been a detailed, critical evaluation of converters that are being used for the charging modules of electric vehicles. For electric vehicle battery charging better converters needs to be used for reduced ripple in voltage and current. The conventional buck-boost converters are replaced with novel PFC converters for improving the power factor of the source. As the large capacity batteries need more power to charge which impacts the quality of the source
PaperID
2023/EUSRM/2/2023/61377

Paper Title
Evaluate Seismic Performance of Multistorey R.C.C Buildings with Different Structural Configuration by Pushover Analysis
Author Name
Kumar Hrithik, Vikas Patidar
Year Of Publication
2023
Volume and Issue
Volume 15 Issue 2
Abstract
The paper presents a simple computer - based pushover analysis technique for performance - based design of the building framework subject to earthquake loading. The technique used is nonlinear static pushover analysis. In this study, multi-storey RC building with different structural configuration, bare frame, shear wall and infill wall is modeled and analyzed with the help of SAP2000 software. From output of analysis different parameters like base shear, displacement, effective damping, effective period, spectral acceleration and spectral displacement is obtained and compared. It is seen that at roof level displacement in bare frame is more than other two structural configurations and base shear is maximum in the frame with shear wall due to more self-weight
PaperID
2023/EUSRM/2/2023/61378

Paper Title
Overview of Evolution of E-Learning Platforms for Universal Learning
Author Name
Monica, Rishikesh Yadav, Harsh Gupta
Year Of Publication
2023
Volume and Issue
Volume 15 Issue 2
Abstract
With the development of information technology a new technological learning platform has been created for the education system. The web-based learning platform enables teachers to plan lessons and develop easy-to-use digital resources for assessing and assigning tasks, and automatically monitoring the progress of each student or the entire class. Web-based training platforms are integrated software solutions for e-learning. They provide a range of tools for transmitting and receiving new knowledge, skills and attitudes, intended to stimulate and guide the learning process through the use of computers and internet connections. There are many e-learning platforms. Some of these virtual learning environment platforms let you host and sell online courses. Students decide which platform is best for training courses. This paper reflects on past practice and calls for a greater focus on learners and learning and the technologies and emerging pedagogies that offer deep and ex
PaperID
2023/EUSRM/2/2023/61376

Paper Title
Content -Based Feature Extraction from Image: A Review
Author Name
Ashish Sharma, Jitendra Sheetlani, Manish Shrivastava
Year Of Publication
2023
Volume and Issue
Volume 15 Issue 2
Abstract
In order to successfully accomplish classification and machine learning tasks, content-based feature extraction from the input image is necessary. Transforming a huge input image into a low-dimensional feature vector, which is an input to a classification or machine learning algorithm, is apparently involved in content-based feature extraction. The major difficulties with Content - Based Feature extraction have been mentioned in this study. One of the most important, captivating and revolutionary intellectual developments of all time has been the goal of universal education. The challenges of the present state are extremely complex, highly dimensional data and heterogeneous. Making appropriate decisions requires learning from the data and deriving wisdom from it. The purpose of this paper is to give an overview of methods used in Content -Based Feature extraction for various applications, an overview of the modern challenges in feature extraction. In th
PaperID
2023/IJEASM/2/2023/61376a