Notice Board :

Call for Paper
Vol. 5 Issue 5

Submission Start Date:
May 01, 2024

Acceptence Notification Start:
May 10, 2024

Submission End:
May 25, 2024

Final MenuScript Due:
May 31, 2024

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




Volume III Issue XI

Author Name
Lankit, Nitin Choudhary
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 11
Abstract
In this paper a new high step up DC to AC converter is introduced controlled with PWM technique. The output three phase AC voltages is fed to three phase induction motor controlled by vector control. The converter is connected to low voltage renewable source like PVA or battery. The low voltage is stepped up to higher voltage using the proposed converter with coupled inductor and resonant switched capacitor. Because of the synchronous rectification Boost unit and multiple coupled-inductor-SC units the structure can therefore be easily extended for ultra-high voltage gain. The power electronic switches are operated with soft switching with reduced voltage stress increasing the reliability of the converter. MOSFET power electronic switches are used to control the circuit output voltage with high switching Frequency in the range of 100 kHz. This high switching frequency reduces the ripple in the DC voltage output reducing the Harmonics in the AC voltage side of the converter. The AC volta
PaperID
2022/IJEASM/3/2022/1774

Author Name
K. Sridhar, Amit Singla
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 11
Abstract
This research paper offers an in-depth exploration of Question Answering Systems (QAS), with a specific emphasis on the diverse types and advanced techniques utilizing deep learning methodologies. As a pivotal component within natural language processing and information retrieval, QAS plays a crucial role in enhancing human-computer interaction. This study seeks to provide a thorough analysis of the historical evolution, contemporary challenges, and recent advancements in QAS, shedding light on the intricate landscape of deep learning techniques employed to augment their efficacy. The paper delves into the intricacies of context comprehension, semantic understanding, and linguistic nuances that QAS must navigate, showcasing the transformative potential of deep learning in achieving these objectives. Additionally, the research examines the broader implications of QAS in various applications and industries, underscoring the significance of ongoing developments. The concluding section dis
PaperID
2022/IJEASM/3/2022/1774a

Author Name
Dileep Kumar Yadav, Satendra Kumar, Harsh Lohiya
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 11
Abstract
Future 5G wireless networks will aspect new contests, as well as growing claim on network capacity to support a huge number of devices running application necessitating high data rates and always-on connectivity; hugely and supportive the emerging business models in the wireless network market demanding networks to be more open. New challenges initiative new resolutions and involve changed plans in the network positioning, management, and operation of future 5G wireless networks equated to those of current wireless networks. One of the key purposes of future 5G wireless networks is to compliantly provide service customized networks to a wide variety of services using integrated cloud reserve and wireless/wired network possessions, which may be presented by several infrastructure providers and/or operators
PaperID
2022/IJEASM/3/2022/1775

Author Name
Vishwajeet Kumar, Deepak Pandey, Vasant Acharya
Year Of Publication
2022
Volume and Issue
Volume 3 Issue 11
Abstract
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. In this paper a novel interleaved boost cascaded by buck converter is integrated to single phase source to charge batteries with wide range of ratings. The converter is controlled by FIS to operate the switches of the converter so as to change the output voltage to specific value. The output voltage generation has wide range between 50V to 500V. The complete modeling and analysis is done is MATLAB software with results discussion for different operating conditions. A comparative analysis between PI and fuzzy controllers is also carried out with respect to time
PaperID
2022/IJEASM/3/2022/1776